{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Google Cloud CMIP6 Public Data: Basic Python Example\n",
    "\n",
    "This notebooks shows how to query the catalog and load the data using python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "import zarr\n",
    "import gcsfs\n",
    "\n",
    "xr.set_options(display_style='html')\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cftime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = 12, 6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Browse Catalog\n",
    "\n",
    "The data catatalog is stored as a CSV file. Here we read it with Pandas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>activity_id</th>\n",
       "      <th>institution_id</th>\n",
       "      <th>source_id</th>\n",
       "      <th>experiment_id</th>\n",
       "      <th>member_id</th>\n",
       "      <th>table_id</th>\n",
       "      <th>variable_id</th>\n",
       "      <th>grid_label</th>\n",
       "      <th>zstore</th>\n",
       "      <th>dcpp_init_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AerChemMIP</td>\n",
       "      <td>BCC</td>\n",
       "      <td>BCC-ESM1</td>\n",
       "      <td>histSST</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>mmrbc</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AerChemMIP</td>\n",
       "      <td>BCC</td>\n",
       "      <td>BCC-ESM1</td>\n",
       "      <td>histSST</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>mmrdust</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AerChemMIP</td>\n",
       "      <td>BCC</td>\n",
       "      <td>BCC-ESM1</td>\n",
       "      <td>histSST</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>mmroa</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AerChemMIP</td>\n",
       "      <td>BCC</td>\n",
       "      <td>BCC-ESM1</td>\n",
       "      <td>histSST</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>mmrso4</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AerChemMIP</td>\n",
       "      <td>BCC</td>\n",
       "      <td>BCC-ESM1</td>\n",
       "      <td>histSST</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>mmrss</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  activity_id institution_id source_id experiment_id member_id table_id  \\\n",
       "0  AerChemMIP            BCC  BCC-ESM1       histSST  r1i1p1f1   AERmon   \n",
       "1  AerChemMIP            BCC  BCC-ESM1       histSST  r1i1p1f1   AERmon   \n",
       "2  AerChemMIP            BCC  BCC-ESM1       histSST  r1i1p1f1   AERmon   \n",
       "3  AerChemMIP            BCC  BCC-ESM1       histSST  r1i1p1f1   AERmon   \n",
       "4  AerChemMIP            BCC  BCC-ESM1       histSST  r1i1p1f1   AERmon   \n",
       "\n",
       "  variable_id grid_label                                             zstore  \\\n",
       "0       mmrbc         gn  gs://cmip6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i...   \n",
       "1     mmrdust         gn  gs://cmip6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i...   \n",
       "2       mmroa         gn  gs://cmip6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i...   \n",
       "3      mmrso4         gn  gs://cmip6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i...   \n",
       "4       mmrss         gn  gs://cmip6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i...   \n",
       "\n",
       "   dcpp_init_year  \n",
       "0             NaN  \n",
       "1             NaN  \n",
       "2             NaN  \n",
       "3             NaN  \n",
       "4             NaN  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('https://storage.googleapis.com/cmip6/cmip6-zarr-consolidated-stores.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The columns of the dataframe correspond to the CMI6 controlled vocabulary. A beginners' guide to these terms is available in [this document](https://docs.google.com/document/d/1yUx6jr9EdedCOLd--CPdTfGDwEwzPpCF6p1jRmqx-0Q). \n",
    "\n",
    "Here we filter the data to find monthly surface air temperature for historical experiments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>activity_id</th>\n",
       "      <th>institution_id</th>\n",
       "      <th>source_id</th>\n",
       "      <th>experiment_id</th>\n",
       "      <th>member_id</th>\n",
       "      <th>table_id</th>\n",
       "      <th>variable_id</th>\n",
       "      <th>grid_label</th>\n",
       "      <th>zstore</th>\n",
       "      <th>dcpp_init_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4896</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>AS-RCEC</td>\n",
       "      <td>TaiESM1</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/AS-RCEC/TaiESM1/historical/r1i...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5674</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>BCC</td>\n",
       "      <td>BCC-CSM2-MR</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/BCC/BCC-CSM2-MR/historical/r1i...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5778</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>BCC</td>\n",
       "      <td>BCC-CSM2-MR</td>\n",
       "      <td>historical</td>\n",
       "      <td>r2i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/BCC/BCC-CSM2-MR/historical/r2i...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5870</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>BCC</td>\n",
       "      <td>BCC-CSM2-MR</td>\n",
       "      <td>historical</td>\n",
       "      <td>r3i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/BCC/BCC-CSM2-MR/historical/r3i...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6180</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>BCC</td>\n",
       "      <td>BCC-ESM1</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/BCC/BCC-ESM1/historical/r1i1p1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50318</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>SNU</td>\n",
       "      <td>SAM0-UNICON</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/SNU/SAM0-UNICON/historical/r1i...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50474</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>THU</td>\n",
       "      <td>CIESM</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gr</td>\n",
       "      <td>gs://cmip6/CMIP/THU/CIESM/historical/r1i1p1f1/...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50494</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>THU</td>\n",
       "      <td>CIESM</td>\n",
       "      <td>historical</td>\n",
       "      <td>r2i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gr</td>\n",
       "      <td>gs://cmip6/CMIP/THU/CIESM/historical/r2i1p1f1/...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50579</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>UA</td>\n",
       "      <td>MCM-UA-1-0</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/UA/MCM-UA-1-0/historical/r1i1p...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50620</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>UA</td>\n",
       "      <td>MCM-UA-1-0</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f2</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/UA/MCM-UA-1-0/historical/r1i1p...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>311 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      activity_id institution_id    source_id experiment_id member_id  \\\n",
       "4896         CMIP        AS-RCEC      TaiESM1    historical  r1i1p1f1   \n",
       "5674         CMIP            BCC  BCC-CSM2-MR    historical  r1i1p1f1   \n",
       "5778         CMIP            BCC  BCC-CSM2-MR    historical  r2i1p1f1   \n",
       "5870         CMIP            BCC  BCC-CSM2-MR    historical  r3i1p1f1   \n",
       "6180         CMIP            BCC     BCC-ESM1    historical  r1i1p1f1   \n",
       "...           ...            ...          ...           ...       ...   \n",
       "50318        CMIP            SNU  SAM0-UNICON    historical  r1i1p1f1   \n",
       "50474        CMIP            THU        CIESM    historical  r1i1p1f1   \n",
       "50494        CMIP            THU        CIESM    historical  r2i1p1f1   \n",
       "50579        CMIP             UA   MCM-UA-1-0    historical  r1i1p1f1   \n",
       "50620        CMIP             UA   MCM-UA-1-0    historical  r1i1p1f2   \n",
       "\n",
       "      table_id variable_id grid_label  \\\n",
       "4896      Amon         tas         gn   \n",
       "5674      Amon         tas         gn   \n",
       "5778      Amon         tas         gn   \n",
       "5870      Amon         tas         gn   \n",
       "6180      Amon         tas         gn   \n",
       "...        ...         ...        ...   \n",
       "50318     Amon         tas         gn   \n",
       "50474     Amon         tas         gr   \n",
       "50494     Amon         tas         gr   \n",
       "50579     Amon         tas         gn   \n",
       "50620     Amon         tas         gn   \n",
       "\n",
       "                                                  zstore  dcpp_init_year  \n",
       "4896   gs://cmip6/CMIP/AS-RCEC/TaiESM1/historical/r1i...             NaN  \n",
       "5674   gs://cmip6/CMIP/BCC/BCC-CSM2-MR/historical/r1i...             NaN  \n",
       "5778   gs://cmip6/CMIP/BCC/BCC-CSM2-MR/historical/r2i...             NaN  \n",
       "5870   gs://cmip6/CMIP/BCC/BCC-CSM2-MR/historical/r3i...             NaN  \n",
       "6180   gs://cmip6/CMIP/BCC/BCC-ESM1/historical/r1i1p1...             NaN  \n",
       "...                                                  ...             ...  \n",
       "50318  gs://cmip6/CMIP/SNU/SAM0-UNICON/historical/r1i...             NaN  \n",
       "50474  gs://cmip6/CMIP/THU/CIESM/historical/r1i1p1f1/...             NaN  \n",
       "50494  gs://cmip6/CMIP/THU/CIESM/historical/r2i1p1f1/...             NaN  \n",
       "50579  gs://cmip6/CMIP/UA/MCM-UA-1-0/historical/r1i1p...             NaN  \n",
       "50620  gs://cmip6/CMIP/UA/MCM-UA-1-0/historical/r1i1p...             NaN  \n",
       "\n",
       "[311 rows x 10 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ta = df.query(\"activity_id=='CMIP' & table_id == 'Amon' & variable_id == 'tas' & experiment_id == 'historical'\")\n",
    "df_ta"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we do further filtering to find just the models from NCAR."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>activity_id</th>\n",
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       "      <th>zstore</th>\n",
       "      <th>dcpp_init_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>41761</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-FV2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2-FV2/historical/r1i1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41923</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-FV2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r2i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2-FV2/historical/r2i1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41934</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-FV2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r3i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2-FV2/historical/r3i1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42102</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-WACCM-FV2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2-WACCM-FV2/historica...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42263</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-WACCM-FV2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r2i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2-WACCM-FV2/historica...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42274</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-WACCM-FV2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r3i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2-WACCM-FV2/historica...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42980</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-WACCM</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2-WACCM/historical/r1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43255</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-WACCM</td>\n",
       "      <td>historical</td>\n",
       "      <td>r2i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2-WACCM/historical/r2...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43487</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-WACCM</td>\n",
       "      <td>historical</td>\n",
       "      <td>r3i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2-WACCM/historical/r3...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44529</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r10i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2/historical/r10i1p1f...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44756</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r11i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2/historical/r11i1p1f...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45003</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2/historical/r1i1p1f1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45280</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r2i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2/historical/r2i1p1f1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45557</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r3i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2/historical/r3i1p1f1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45834</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r4i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2/historical/r4i1p1f1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46077</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r5i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2/historical/r5i1p1f1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46320</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r6i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2/historical/r6i1p1f1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46564</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r7i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2/historical/r7i1p1f1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46806</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r8i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2/historical/r8i1p1f1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47048</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r9i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP/NCAR/CESM2/historical/r9i1p1f1...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      activity_id institution_id        source_id experiment_id  member_id  \\\n",
       "41761        CMIP           NCAR        CESM2-FV2    historical   r1i1p1f1   \n",
       "41923        CMIP           NCAR        CESM2-FV2    historical   r2i1p1f1   \n",
       "41934        CMIP           NCAR        CESM2-FV2    historical   r3i1p1f1   \n",
       "42102        CMIP           NCAR  CESM2-WACCM-FV2    historical   r1i1p1f1   \n",
       "42263        CMIP           NCAR  CESM2-WACCM-FV2    historical   r2i1p1f1   \n",
       "42274        CMIP           NCAR  CESM2-WACCM-FV2    historical   r3i1p1f1   \n",
       "42980        CMIP           NCAR      CESM2-WACCM    historical   r1i1p1f1   \n",
       "43255        CMIP           NCAR      CESM2-WACCM    historical   r2i1p1f1   \n",
       "43487        CMIP           NCAR      CESM2-WACCM    historical   r3i1p1f1   \n",
       "44529        CMIP           NCAR            CESM2    historical  r10i1p1f1   \n",
       "44756        CMIP           NCAR            CESM2    historical  r11i1p1f1   \n",
       "45003        CMIP           NCAR            CESM2    historical   r1i1p1f1   \n",
       "45280        CMIP           NCAR            CESM2    historical   r2i1p1f1   \n",
       "45557        CMIP           NCAR            CESM2    historical   r3i1p1f1   \n",
       "45834        CMIP           NCAR            CESM2    historical   r4i1p1f1   \n",
       "46077        CMIP           NCAR            CESM2    historical   r5i1p1f1   \n",
       "46320        CMIP           NCAR            CESM2    historical   r6i1p1f1   \n",
       "46564        CMIP           NCAR            CESM2    historical   r7i1p1f1   \n",
       "46806        CMIP           NCAR            CESM2    historical   r8i1p1f1   \n",
       "47048        CMIP           NCAR            CESM2    historical   r9i1p1f1   \n",
       "\n",
       "      table_id variable_id grid_label  \\\n",
       "41761     Amon         tas         gn   \n",
       "41923     Amon         tas         gn   \n",
       "41934     Amon         tas         gn   \n",
       "42102     Amon         tas         gn   \n",
       "42263     Amon         tas         gn   \n",
       "42274     Amon         tas         gn   \n",
       "42980     Amon         tas         gn   \n",
       "43255     Amon         tas         gn   \n",
       "43487     Amon         tas         gn   \n",
       "44529     Amon         tas         gn   \n",
       "44756     Amon         tas         gn   \n",
       "45003     Amon         tas         gn   \n",
       "45280     Amon         tas         gn   \n",
       "45557     Amon         tas         gn   \n",
       "45834     Amon         tas         gn   \n",
       "46077     Amon         tas         gn   \n",
       "46320     Amon         tas         gn   \n",
       "46564     Amon         tas         gn   \n",
       "46806     Amon         tas         gn   \n",
       "47048     Amon         tas         gn   \n",
       "\n",
       "                                                  zstore  dcpp_init_year  \n",
       "41761  gs://cmip6/CMIP/NCAR/CESM2-FV2/historical/r1i1...             NaN  \n",
       "41923  gs://cmip6/CMIP/NCAR/CESM2-FV2/historical/r2i1...             NaN  \n",
       "41934  gs://cmip6/CMIP/NCAR/CESM2-FV2/historical/r3i1...             NaN  \n",
       "42102  gs://cmip6/CMIP/NCAR/CESM2-WACCM-FV2/historica...             NaN  \n",
       "42263  gs://cmip6/CMIP/NCAR/CESM2-WACCM-FV2/historica...             NaN  \n",
       "42274  gs://cmip6/CMIP/NCAR/CESM2-WACCM-FV2/historica...             NaN  \n",
       "42980  gs://cmip6/CMIP/NCAR/CESM2-WACCM/historical/r1...             NaN  \n",
       "43255  gs://cmip6/CMIP/NCAR/CESM2-WACCM/historical/r2...             NaN  \n",
       "43487  gs://cmip6/CMIP/NCAR/CESM2-WACCM/historical/r3...             NaN  \n",
       "44529  gs://cmip6/CMIP/NCAR/CESM2/historical/r10i1p1f...             NaN  \n",
       "44756  gs://cmip6/CMIP/NCAR/CESM2/historical/r11i1p1f...             NaN  \n",
       "45003  gs://cmip6/CMIP/NCAR/CESM2/historical/r1i1p1f1...             NaN  \n",
       "45280  gs://cmip6/CMIP/NCAR/CESM2/historical/r2i1p1f1...             NaN  \n",
       "45557  gs://cmip6/CMIP/NCAR/CESM2/historical/r3i1p1f1...             NaN  \n",
       "45834  gs://cmip6/CMIP/NCAR/CESM2/historical/r4i1p1f1...             NaN  \n",
       "46077  gs://cmip6/CMIP/NCAR/CESM2/historical/r5i1p1f1...             NaN  \n",
       "46320  gs://cmip6/CMIP/NCAR/CESM2/historical/r6i1p1f1...             NaN  \n",
       "46564  gs://cmip6/CMIP/NCAR/CESM2/historical/r7i1p1f1...             NaN  \n",
       "46806  gs://cmip6/CMIP/NCAR/CESM2/historical/r8i1p1f1...             NaN  \n",
       "47048  gs://cmip6/CMIP/NCAR/CESM2/historical/r9i1p1f1...             NaN  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ta_ncar = df_ta.query('institution_id == \"NCAR\"')\n",
    "df_ta_ncar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Data\n",
    "\n",
    "Now we will load a single store using gcsfs, zarr, and xarray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1b98bb76-3e6c-4270-80c2-734b4006466a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1b98bb76-3e6c-4270-80c2-734b4006466a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span>nbnd</span>: 2</li><li><span class='xr-has-index'>time</span>: 1980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-34061fe7-b571-47e1-8c01-e91956f1cbe4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-34061fe7-b571-47e1-8c01-e91956f1cbe4' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.06 -88.12 ... 89.06 90.0</div><input id='attrs-8a821720-42f5-4e27-bc17-d16ab176bf81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a821720-42f5-4e27-bc17-d16ab176bf81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f741aea-c6ea-4f38-a018-d28d05ae09ae' class='xr-var-data-in' type='checkbox'><label for='data-8f741aea-c6ea-4f38-a018-d28d05ae09ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>title :</span></dt><dd>Latitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div><pre class='xr-var-data'>array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, nbnd)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(192, 2), meta=np.ndarray&gt;</div><input id='attrs-c50c7218-46e4-4fbd-8c52-5a72212d1e22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c50c7218-46e4-4fbd-8c52-5a72212d1e22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9947e1a-ac6b-4243-b986-e836244c493a' class='xr-var-data-in' type='checkbox'><label for='data-e9947e1a-ac6b-4243-b986-e836244c493a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><pre class='xr-var-data'><table>\n",
       "<tr>\n",
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       "</table></pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 2.5 ... 356.2 357.5 358.8</div><input id='attrs-e49bc38f-1b7e-4e0f-811c-c7cdd88810e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e49bc38f-1b7e-4e0f-811c-c7cdd88810e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-189e116d-9b4a-420b-bbfb-aa1d845473f4' class='xr-var-data-in' type='checkbox'><label for='data-189e116d-9b4a-420b-bbfb-aa1d845473f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>title :</span></dt><dd>Longitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>360.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><pre class='xr-var-data'>array([  0.  ,   1.25,   2.5 , ..., 356.25, 357.5 , 358.75])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, nbnd)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(288, 2), meta=np.ndarray&gt;</div><input id='attrs-505e9aca-b692-4376-9eaa-ad9163671ef0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-505e9aca-b692-4376-9eaa-ad9163671ef0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-463e95bf-3fd9-4b20-8fe1-7003d6832e46' class='xr-var-data-in' type='checkbox'><label for='data-463e95bf-3fd9-4b20-8fe1-7003d6832e46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><pre class='xr-var-data'><table>\n",
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       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
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       "</td>\n",
       "</tr>\n",
       "</table></pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-15 12:00:00 ... 2014-12-15 12:00:00</div><input id='attrs-d150f6b3-e2f2-4e73-a372-db19d80c8846' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d150f6b3-e2f2-4e73-a372-db19d80c8846' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a85848fc-7614-4308-ab2a-4d9530446c2e' class='xr-var-data-in' type='checkbox'><label for='data-a85848fc-7614-4308-ab2a-4d9530446c2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>title :</span></dt><dd>time</dd><dt><span>type :</span></dt><dd>double</dd></dl></div><pre class='xr-var-data'>array([cftime.DatetimeNoLeap(1850-01-15 12:00:00),\n",
       "       cftime.DatetimeNoLeap(1850-02-14 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1850-03-15 12:00:00), ...,\n",
       "       cftime.DatetimeNoLeap(2014-10-15 12:00:00),\n",
       "       cftime.DatetimeNoLeap(2014-11-15 00:00:00),\n",
       "       cftime.DatetimeNoLeap(2014-12-15 12:00:00)], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnd)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1980, 2), meta=np.ndarray&gt;</div><input id='attrs-e7ea7ece-7450-4b42-91c7-0b9b3dbabf57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e7ea7ece-7450-4b42-91c7-0b9b3dbabf57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69bc90cd-647c-4b42-b879-cd1d8562167f' class='xr-var-data-in' type='checkbox'><label for='data-69bc90cd-647c-4b42-b879-cd1d8562167f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 31.68 kB </td> <td> 31.68 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (1980, 2) </td> <td> (1980, 2) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> object </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "\n",
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       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">1980</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></pre></li></ul></div></li><li class='xr-section-item'><input id='section-27c03168-d393-4e16-a948-0edabfa97209' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27c03168-d393-4e16-a948-0edabfa97209' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(600, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-cd05c5d9-acaf-4d54-a320-9c39a3987eaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd05c5d9-acaf-4d54-a320-9c39a3987eaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2eee7086-911f-4639-b9fc-3268bf08bfb7' class='xr-var-data-in' type='checkbox'><label for='data-2eee7086-911f-4639-b9fc-3268bf08bfb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>comment :</span></dt><dd>near-surface (usually, 2 meter) air temperature</dd><dt><span>description :</span></dt><dd>near-surface (usually, 2 meter) air temperature</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>id :</span></dt><dd>tas</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>mipTable :</span></dt><dd>Amon</dd><dt><span>out_name :</span></dt><dd>tas</dd><dt><span>prov :</span></dt><dd>Amon ((isd.003))</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>time :</span></dt><dd>time</dd><dt><span>time_label :</span></dt><dd>time-mean</dd><dt><span>time_title :</span></dt><dd>Temporal mean</dd><dt><span>title :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>type :</span></dt><dd>real</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>variable_id :</span></dt><dd>tas</dd></dl></div><pre class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 437.94 MB </td> <td> 132.71 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (1980, 192, 288) </td> <td> (600, 192, 288) </td></tr>\n",
       "    <tr><th> Count </th><td> 5 Tasks </td><td> 4 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
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       "  <text x=\"35.294118\" y=\"93.719750\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,93.719750)\">1980</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></pre></li></ul></div></li><li class='xr-section-item'><input id='section-81cdd0ee-7603-4464-ac67-50ee545f68e2' class='xr-section-summary-in' type='checkbox'  ><label for='section-81cdd0ee-7603-4464-ac67-50ee545f68e2' class='xr-section-summary' >Attributes: <span>(47)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>674885.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>295650.0</dd><dt><span>case_id :</span></dt><dd>23</dd><dt><span>cesm_casename :</span></dt><dd>b.e21.BHIST.f09_g17.CMIP6-historical.009</dd><dt><span>contact :</span></dt><dd>cesm_cmip6@ucar.edu</dd><dt><span>creation_date :</span></dt><dd>2019-01-27T10:42:54Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NCAR.CESM2.historical.none.r9i1p1f1</dd><dt><span>grid :</span></dt><dd>native 0.9x1.25 finite volume grid (192x288 latxlon)</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>none</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA</dd><dt><span>institution_id :</span></dt><dd>NCAR</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by &lt;The National Center for Atmospheric Research&gt; is licensed under a Creative Commons Attribution-[]ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file)[]. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>model_doi_url :</span></dt><dd>https://doi.org/10.5065/D67H1H0V</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>CESM2</dd><dt><span>parent_time_units :</span></dt><dd>days since 0001-01-01 00:00:00</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>CESM2 (2017): atmosphere: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb); ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m); sea_ice: CICE5.1 (same grid as ocean); land: CLM5 0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb); aerosol: MAM4 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb); atmoschem: MAM4 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb); landIce: CISM2.1; ocnBgchem: MARBL (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m)</dd><dt><span>source_id :</span></dt><dd>CESM2</dd><dt><span>source_type :</span></dt><dd>AOGCM BGC</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>Amon</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/4b164514-1627-4deb-a8d5-93d4c5166d41\n",
       "hdl:21.14100/4b164514-1627-4deb-a8d5-93d4c5166d41\n",
       "hdl:21.14100/4b164514-1627-4deb-a8d5-93d4c5166d41\n",
       "hdl:21.14100/4b164514-1627-4deb-a8d5-93d4c5166d41</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_info :</span></dt><dd>CMIP6 20th century experiments (1850-2014) with CAM6, interactive land (CLM5), coupled ocean (POP2) with biogeochemistry (MARBL), interactive sea ice (CICE5.1), and non-evolving land ice (CISM2.1)\r\n",
       "</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f1</dd><dt><span>status :</span></dt><dd>2019-10-25;created;by nhn2@columbia.edu</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (lat: 192, lon: 288, nbnd: 2, time: 1980)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
       "    lat_bnds   (lat, nbnd) float32 dask.array<chunksize=(192, 2), meta=np.ndarray>\n",
       "  * lon        (lon) float64 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8\n",
       "    lon_bnds   (lon, nbnd) float32 dask.array<chunksize=(288, 2), meta=np.ndarray>\n",
       "  * time       (time) object 1850-01-15 12:00:00 ... 2014-12-15 12:00:00\n",
       "    time_bnds  (time, nbnd) object dask.array<chunksize=(1980, 2), meta=np.ndarray>\n",
       "Dimensions without coordinates: nbnd\n",
       "Data variables:\n",
       "    tas        (time, lat, lon) float32 dask.array<chunksize=(600, 192, 288), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:            CF-1.7 CMIP-6.2\n",
       "    activity_id:            CMIP\n",
       "    branch_method:          standard\n",
       "    branch_time_in_child:   674885.0\n",
       "    branch_time_in_parent:  295650.0\n",
       "    case_id:                23\n",
       "    cesm_casename:          b.e21.BHIST.f09_g17.CMIP6-historical.009\n",
       "    contact:                cesm_cmip6@ucar.edu\n",
       "    creation_date:          2019-01-27T10:42:54Z\n",
       "    data_specs_version:     01.00.29\n",
       "    experiment:             all-forcing simulation of the recent past\n",
       "    experiment_id:          historical\n",
       "    external_variables:     areacella\n",
       "    forcing_index:          1\n",
       "    frequency:              mon\n",
       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.NCAR.CESM2.h...\n",
       "    grid:                   native 0.9x1.25 finite volume grid (192x288 latxlon)\n",
       "    grid_label:             gn\n",
       "    history:                none\n",
       "    initialization_index:   1\n",
       "    institution:            National Center for Atmospheric Research, Climate...\n",
       "    institution_id:         NCAR\n",
       "    license:                CMIP6 model data produced by <The National Center...\n",
       "    mip_era:                CMIP6\n",
       "    model_doi_url:          https://doi.org/10.5065/D67H1H0V\n",
       "    nominal_resolution:     100 km\n",
       "    parent_activity_id:     CMIP\n",
       "    parent_experiment_id:   piControl\n",
       "    parent_mip_era:         CMIP6\n",
       "    parent_source_id:       CESM2\n",
       "    parent_time_units:      days since 0001-01-01 00:00:00\n",
       "    parent_variant_label:   r1i1p1f1\n",
       "    physics_index:          1\n",
       "    product:                model-output\n",
       "    realization_index:      9\n",
       "    realm:                  atmos\n",
       "    source:                 CESM2 (2017): atmosphere: CAM6 (0.9x1.25 finite v...\n",
       "    source_id:              CESM2\n",
       "    source_type:            AOGCM BGC\n",
       "    sub_experiment:         none\n",
       "    sub_experiment_id:      none\n",
       "    table_id:               Amon\n",
       "    tracking_id:            hdl:21.14100/4b164514-1627-4deb-a8d5-93d4c5166d41...\n",
       "    variable_id:            tas\n",
       "    variant_info:           CMIP6 20th century experiments (1850-2014) with C...\n",
       "    variant_label:          r9i1p1f1\n",
       "    status:                 2019-10-25;created;by nhn2@columbia.edu"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# this only needs to be created once\n",
    "gcs = gcsfs.GCSFileSystem(token='anon')\n",
    "\n",
    "# get the path to a specific zarr store (the first one from the dataframe above)\n",
    "zstore = df_ta_ncar.zstore.values[-1]\n",
    "\n",
    "# create a mutable-mapping-style interface to the store\n",
    "mapper = gcs.get_mapper(zstore)\n",
    "\n",
    "# open it using xarray and zarr\n",
    "ds = xr.open_zarr(mapper, consolidated=True)\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot a map from a specific date."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fb7a627e650>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vrb9EM8zs8QB+Dp3/+TkAvnIV+aaU7sDsWL6e/MZHN6a/fLr4s3Oe+F5nW/jv09+3mtmnzkl/CrobwFcB/BKlvQidQmSArr1nTK+Lo5vSxUv6hBBCCCHOI7pJK4QQQizG/5r+/qzWG53Xgaeju/l4CcD/Z2ZPMrMbjhLN7J+Z2VMAvBzAZ26ojMfCzG4ws3sd/WD2krQ9//fpk7G87TeZ2WeY2S3ubw8xs59Fd5PtAMC/SSldo00/2sx+08yeaGb3ddteNLPPRee3vSeAKwBum1PsX0bnrB0A+CUze8R0+10zeyqAr52u9x0ppYPmSumcuq8FcCOAF5rZB0/zv9HM/h1mT1B/y7yNzewy1enRfPAS1enuAmWDmd1C+R9xE+W/TZs+38yeZmYfYWY7Lr8PMrMfA/B/T//0nJRSs8Zh0eM2s0cBeAGAXQDPRddmjq1bMLPbzCyZWd8234HuadqPBPDsozozs/dF98K790X3Yrvvm7Ptsm0hTX9u47Sp0/nohWjPNrNPnm4zNLN/7crzjJTSW2jbfcyuja8zs6ce1auZ/Qt0N3UHAP4gpfTCnnoRQgghhDhXWLuCTQghhBBmdiuAP0cXwj9C99TYIYB/Sik9errOY9E9KflafkGXmb0EwMcA+OKU0rPn5N+77XHyMLP3B/ArAI6epJ2gu9Gzh/xN8E9OKT3nGIe8Eczs2QCedIxVvzOldBtt+xJ09QN0b48fYnbsdwD4opTSr87Z52ORP+F6Bd3TgjdP8wA6xcHnp5R+q6fc9wfwUgAPcvu/AGBruvzMlNJXHOO45jJ9EvFFmL207E50Lx4boHvS9FtSSk/v2fYlmNVLxNy2eYyy3Q7gAcdY9WP909VUrjG6c7SL7p8NR/w8gH81vQnYWi6ff0R23Gb2YgAfO11827RsfXxNSomfzL4N3Y1Y9Dl8zexJAH4cXftI6M7n0T9/7gbwaSmlF/dsu0xbOPoiUFw/0/SbALwYwMOmf7qC7ho4upH9QgCfmVIa9eT/LHRP3AJd/7g/LRvQ/SPpMSmlN8zbVgghhBDivKEnaYUQQogFSCm9Gp2r8TfQ3Uy6L7obU/ffZLmOSCn9LYAPQ/fE6O+iu6l4E7obyn8B4IfR3bD6qU2V8TrwQ+ieBPw7dHOeMYBXoXvS+NZ5N2in/CWAb0L3ROzfonvi9jK68/wydGH3t/bdoAWAlNI/AfhQAP8W3QuettD5a38XwOcuc4N2mv+fA3jo9Bj/Ht1Ns7cD+B8APr7vptwJ59+ia5d/gu6fHpfQnbd/QBd6/y9TSp+zyA3aJfHz5Xsh9i7vFVsfg+k/Sv4Fuvb65mk+/wjgvwL40L4btNNt19YWUkp3AngkgG9G90+phO5G6/8E8GXobh7PvUE73f5LAXweunb/bnTXwasBPG16XLpBK4QQQggxRU/SCiGEEEIIIYQQQgghxAbRk7RCCCGEEEIIIYQQQgixQXSTVgghhBBCCCGEEEIIITaIbtIKIYQQQgghhBBCCCHEBtFNWiGEEEIIIYQQQgghhNggukkrhBBCCCGEEEIIIYQQG0Q3aYUQQgghhBBCCCGEEGKD6CatEEIIIYQQQgghhBBCbBDdpBVCCCGEEEIIIYQQQogNopu0QgghhBBCCCGEEEIIsUF0k1YIIYQQQgghhBBCCCE2yNamCyA6zOwfANwE4PYNF0UIIYQQQgghhBBiHg8EcGdK6UGbLsimMbOfAXDrpssB4NUppS/cdCHE8ugm7cnhpsFg+x6X9u59j00XRAghhBDiXGObLoAQp4y06QIIIa4Xd199KyaTw00X46Rw694F+/AHf8DOxgrw139zgKvX1AmfFXST9uRw+6W9e9/joz70KzddDnGaSOqMTzSmb/lCCHEaSRKCCdGETTZdAiHE9eKPXvmfcNfdb7h90+U4KTz4A3bwJ7/1vhvb/8M/4XV4xV/ub2z/YrVoCiqEEEIIIYQQQgghhBAbRE/SCiGEEEIIIYQQQgjRSELCBJsLJ0jyzZwpdJP2JGGnO7xOYU5CEF5HobFTnCZOu6njBKpGTvP4fixOYJ2L45Gu46kzjYVnljTcdAmEOMWcNoWdhnwh1sZZ/8oghBBCCCGEEEIIIYQQJxo9SSuEEEIIIYQQQgghxAKMk8KKxWrQk7RCCCGEEEIIIYQQQgixQfQk7UnjOE63E+qsOfO+vQ1Q9fyedgfgSWzL16lIdhKPfZ2ct+O9Hqzz+l/wdKV1lqkl62Xa25qOYZXedo23i3E93atr4bSP+TgD56CFTR3reR5uNdc4M5w7f/UZ6N/PMwnAZIOd73m7XM46muYLIYQQQgghhBBCCCHEBtFNWiGEEEIIIYQQQgghhNgg0h2cRlYZDsFhQcvkfcpCjFYZenqu2dR5X9FuV6odOGXXwFo57dfXafgX5jrbW8tY4Mqx1mA9d7gr1SpwVuuq1xWWeZnxa22qhFXV2xpDPq9X+OzaQvpb6rilHhVl28taFS4B0dykWqYVFbl5fnS9pkAN5Tp1IfMbmkeehu9Ep0LzI2XBOSZhstEvP6etsxMRp6G7E0IIIYQQQgghhBBCiDOLbtIKIYQQQgghhBBCCCHEBpHu4IxTDbkLwjKaQ4ROWYhHGvIfrk+YwIkIKTrligKmPSRviYKs6fytVLsQsKnQzVNH7Tyf9X9xLtoel2nHDW2Tr5emdn29LoETcq2dihBRzyo1TNeJtekNaqyqbmqXbYv95BScr5PAMmP+idEQUDmavje0KAta5l0rVVgdf9WmcyI11kJUe5YV9T3L9WE8fgWrNuxnpeO4+ui1kACMN3htq1c5W5y2qbsQQgghhBBCCCGEEEKcKfQkrRBCCCGEEEIIIYQQCzDR86xiRehJWiGEEEIIIYQQQgghhNggepL2pHHkMlmRL6bZKyvWTotXaG3+2tb2tSrHDu92RdmyP6rqBouOv7ZtdP4aztf1ctAus9+VugXX9S/BTTmeT4JbelNsyI123byzq/LanYV/g58yd93G3LCrZBN1vsJdLuWLPuPYZFWTniVcsBVs7DKrzRc25WxdcPxd6/sL1jWnqxxreEyLpm2SVfUXlXyyfonG6mJLzivIO+zvWucEPq9JpV6a3Lf95/5MzFuEOAPoJq0QQgghhBBCCCGEEI0kAOMN6g5O6L9dxILo/yVCCCGEEEIIIYQQQgixQfQk7WkhCktZJnT7BLC2kP4Kqwzp2NQxXDdawo9a2tyaoiCXC69cYtugTRUhoLX9LHrtLtEWuYyrVDKkWqjWoixzHZ/16/YksmiYINB2abZoFDakb1gXpyLkf5l5ywmoY3F8NqX2OZEsURdelZApCZbIB8By3xNoDM3ONefL12207hJlYFbW/pbJp6qNcOlRnbbmvSq9xjIMauP6mpRHFSwa95vUSqRbo+VIq1DTKPix3Abx9RR/p6hciz6J2p/0B23oxWFiVejSE0IIIYQQQgghhBBCiA2im7RCCCGEEEIIIYQQQgixQaQ7EEIIIYQQQgghhBCikYSE8Qb1PkmqhTOFbtKeMNKw7+HmRT08gQNqSWyZrFw5Wn03q/K/NuWzyk73JPahm1L8nXVvpG/nlUoO2yO3v1BRvbi/rChjwzVS86atzUs4zhebnGVRmzoLvtqWa2ZF18RSXtnKtmEfsET5V+pwPW2+1JNY3E3V4Ukcm68XfOwnsV2cFJZoJ4UPtmXbkXPSNo6nNnIDWsu25L61ScPAWMxbNuS+XVUZIqfuPCZBGaPlwhnMklBKX5d3tuaS9WzR7YSBH6wb37/g65nfk8DbjoO64bbK58+VMe0M4zIy0bmPykyTmGLuQd5Z82Xk9zpwkX21DY/vup2XLoTYPLpJK4QQQgghhBBCCCHEApyF5zvEyUBOWiGEEEIIIYQQQgghhNggepL2BJHMMNmef9+8KbQp/DdOJeS6YT9NUUNF+EdDaAVtu9Kw94As/HyZUBCuqJYQolrWri6W0kBcL4cOh9wsEb68shDltYb5NOgcOHQpOyd5PpHRIPG1xu0iDNOiZTo/Uf9QbUJB+2zq35bRKnD74/CxdXG9/h3aog9pafct1dRyjdP61Ws6KnPLkKLQvs1zEh8RWKHeJaSmFljXcHwam/0mFBStKoEFy2hjDmuvrO/Ct4tta/s6GLn9VLZ1edtoHKw4hyjcfBiElHOZeL8HB/nydvD19XCUL/t1w7B8lPPzTFlQ6SAihcGYjoePryF8PqxXPp5IJVDUBR37znae1Xb/+UtbPFns72wy9QZQHo8/higNKOs1y5f2G6g6+HqqzkV8MZr0IXl5rVBokA7BHwTVf6Lz5RUHrE5MW6w7uE56KyHEwugmrRBCCCGEEEIIIYQQjSQA4w3K7c+zVv8schKfZRBCCCGEEEIIIYQQQohzg56kPUkYMNmaHzpgPvaiFlrR8JJKDtOqvYGeVg7ypZBrjuyJ8uU3lW4onGJ1WoXa285dOke+1I590TJWoraKUE53TvjtxJFmobkOg+M9MW8jXdNuy3Pd8Ibi1PN5XjZ8eQVhk0uF9K6SVZWD+6VVvuk52i1rFZbQfGT51taNkms6kZZrd5nrNmrmURnP+r+YuV9d4fGuLUTxtEc+ch2HZhhW0KzuzfVRPa5Us3DMfVazXWF7Ko6vJeslFFwRTTqDYu57fL1QFI4NIG8nFDJebRdu/ep+rl6b/3ke23lIfBGO7kkH/WnchjgUf2eH9uPWp32mG/b699M69/VZc5g+1U26865seXz3lVk2F3bz/ZD6wS66MvOxs9qB6iL59GFej2kn33Zygc6XT+Pvn6wucumD/fxL3fAqKSaCNpaojNyGsrD9mo6CsHFwgsfB/I+vWz7Xkcqi+L4UFpHKkK+chpTX1rZLY4VBvjxxy6XegHccpNf63H4Tm0DRzIRYmLP+NUcIIYQQQgghhBBCCCFONLpJK4QQQgghhBBCCCGEEBtEugMhhBBCCCGEEEIIIRpJaLJdrGX/4uygm7QniGTAZOcYgheLH4Bucss0ELlHux3PuofBOFgPyKQtAxa4sKerxfG1DJvq3bxumL1cdKpb3G9L1VtxDtznUez1TM4ZZeTibPFcFg6lFk6hJ2k516C7ng7zC3VwwELowK3FsOstaH8nxl97vfDHW7kui2vEXxdN18TqHLTVa7HJjduwXeTdrpSpyX15CvsAT2pwyzfT4hBe2T7XlG8rK+qmlvP50xja0gcUFxCXq+EAN/ltsodl5jihf31dDtoK7N/087Cy/LTuIY3dfltyftoBOUFHtO1olp7uyN2ppVNzlnca5/mwSxWc7n2qNbeqz4vdo5W6wdZsW/auFmR1VTm518ibe9e7Z9ncRfVGxze4dDFPvs+9Z9teztPGu0GZW9ufm3PzuJ7Y4RpdX9wv8fsn9r3XON90skPtIhrAlnm/RKWMCK4v7lu807UoPxeRHLWD/VFvGkDXnkvmtjq+uE3L5BBmf6+jOLfe5dvwiou56x+Ttc0XhBC6SSuEEEIIIYQQQgghxCKMT8x/pMVpR05aIYQQQgghhBBCCCGE2CB6kvYEkYaGg5u6kAsOIfAhLJPt+L80k+CscoiKjTl9Fh5y4Z0U3jHikKh8eXjg1uf9BKH31XAJDoVpiYxx21bDAKN8VxnJ3fJPNq7HhoIUx7tMNL1XMuzk/9spQgNbwi2bwpdP+X8nl2lDDXXK4ZUc4sWhWVk7KfZD65oPp4rVHAXX6/ydwHYShvBypNygP8yzFr5XtLGWqlhUb1DNl7dt2c/q9AYrC8tbYftamdKFwx5XuZ++fS7JSQyTbAlzr64arkB9ctHt+j453k2hXQjWL/bTcnmdBJ0N9ZW1/iGfL9U6iIY5Ke8n2w13eP31xuUfsLJgzPPm2YS9VCFQ5Vzbz5ed7sD2LvSmAbnioBhzWG9QqHwCnQMvDwPfBvdpOzvZ4uSiW+Y6ZxXEYf85sHfdmf/h4DBfvnzjbN33vneWNL4xr8fDvTxkPgtVX2bc4O9PPEXwdc5aM1YWjPuVBaUKi/azYB/QNI7ztjyvJDfMJMi62p83HM/4wlbv8oCuRT4Hk+1ZmccX8jZSzNdZb5Dp8KhQrG/w6zbOx6M+L1Qv6VE/IdaGbtIKIYQQQgghhBBCCNFISsX/RYLAjQYAACAASURBVK77/sXZQf8DEUIIIYQQQgghhBBCiA2im7RCCCGEEEIIIYQQQgixQaQ7OEGkLeDaPeaLYUZOfVS4ZmjZu2UKdxE7aGl56+ps48PDPOOtt+SupgF5nix4xj9KqxK5chq8mKnmJAv0WNftZY2t/zaJyrwMLQ7Uiicp5AT6Q9dG7VCXcfv6zcjlNtmjbp6cWN6fZYeBr5bKVDrx+l2qAJC2XOMenMz/Dy7jTlsbQTuoNynLlrJtSeaW2IWbrVzZ0zL15ppCtf7DsaCynwXL2OxOjdavuGMX3u8yPt6T4tj1bOgyXM4zm9Piai9Usb6dVL2KtDwJ0qK8Kt7Lqv/6ekBuxJojM/k+rta1+Kwax+Jozh3uk/3w7LbkMXY0nv8ZAK5ezct0SG7VQ+ed5fGXHK7snc3KxNvubOfpW26+MaQTxtu6/aQrefnt4h5tSy7P7dlyGtJ7EtjP6/fLdX7pYrY8ee98eXRpdnyTXSrDgMdQHJvi/SCBh5odp0W7zzzA8bZocQYH3y+a/LS172mFH9V5+BHPU4p033VW3s+Q5RPUKVC2qeQ9szTHLtqFX+QyBd/fAWCy1V9m3k+23Tb9geuY9zvoTxvze3Dc4oQduucew3hTE5jp/sXZ4WR+UxZCCCGEEEIIIYQQQohzgp6kFUIIIYQQQgghhBCikQRs9ElavTfsbKGbtCeIyQA4uHH6mUIVsvCDIryclqOoVQ6x4Yjl3dnn0YU842s372TLN74+33h4tT82pgid88fDIRs1NUJ0fA1hasW6K3qufGUhn0BbKCofq3E8y2q675ZwviJsq1YG14TKUCzO2/1hmVDMxvO1tpD4ItvF9sP1VlQFNdDkI/i2KWywCPlyoXIUujg4GGXLRT25ZQ5DK1iXxqPGSY8taWx7vi2Uupea/sAvVEIMEVyLy8CX9YrC9utqhCCtoizI8m7uW4LE4PhWOuYU+z3+qm2KhsULvcrjbRrPIir9rmVxuHEZsuOragh4R9a/bjS34oxqc6kFQ/xXSVXBQNH2nmKcnFhvWrWtLjq34inaDn0l43PPYfweUhaAw7NHbnwmnUHULqwI3aY5QrnB7DPrDrged2dfOFg7kLbzuhjd61K2PHH6pOJcWnDiCbu8my0XSgMf2r1DJ4yj+A8CBVxNQ+DTWua+tB/+jleE7ft2wt8Ha/qDBdt50UZorlG0Cz8/LPqlYP46L68IH+LPpSx0XTw/cvNZ3rTohwItAafx4frrj9LGu/35joI0AJjkX+epnfendft1abqLJMTaOOlfSYUQQgghhBBCCCGEEOJMo/+BCCGEEEIIIYQQQgixAJO1hjaJ84Ru0p4kBsD4QvcxevPiUroTDrnhl6C6iCgOI+GwhjsekK+wffdseftqvqPBKAjfqekaOBqk/8WzbW9MrYUQBW/7LbatKRoiVvXG7+INqcUKves2UYRaBUXieivaAS27JjWg82yH9Fbe7Pwc/+3LJY0h5K4xVNUHQazCMm+yj0h0sOVba4NdclqkVuE+qqYwcOXgUD+uizDsrlJvYb3WYkeW0YssSlOY/hLXbW3T4rp24XyrjLkp3mbcH84XhXI3z4MXVBiUZailB2WsXSIr0jnUWNl3iCI0cz35VlniUlx003Lci0PvsylP0b1FSgMa1xvmMcVUitt5dPDFHOf4qzZROZ6l3nrvd9PSzw4q41GBu+ZZI1NMYP1+SB1AGgJQetqaTZCM9QY7eYwyq4q84iCx7mB0iD4KK9juhTydy7y/7xJpzsb6A1+vQzrWi/nxsGpg7JcbFDTcRw0OWfFE2wbfvXjdyXZ/h9+kBCkUBZQrtfvByK3A1wTnnbtUKI3bTHB9tcx/imuvNv/zc4+KXiOidM7ky36OQzoDbm+TnX7dwWA/9nP5NlTYG2jezOlefcjrjklLMHHHMGFzCi/TdeDX5+/+vB+frvuRQqwP3aQVQgghhBBCCCGEEKIRvThMrJJz6aQ1syebWar8jN36D6ys+9xNHo8QQgghhBBCCCGEEOL0cl6fpH0lgO/sSXsMgMcB+PU5aX8O4AVz/v6qFZVLCCGEEEIIIYQQQghxzjiXN2lTSq9Ed6O2wMz+cPrxWXOSX5lSum1t5TLnhRmws8cttDryAgpFj3PPsAdptJdn7P21AHBw8+zz8IAcQyNaHs//DMw5PNb9pP600t3Uvx/25BYOVOdj4mMtXGjObcQusCYXFRH5Dov0lnbAjqiKX8rXDdfx1tW84gb7s+XCQVtkzAKmFs9VlEaJUcxAg2OySoNvk+H9hu0mSMv8ZMjPB1C6feE8V4WLr/Daea8sXTCxliv3mdG2oYO2BjnLsDVbZp9ZlQb37aocoU1u4sZ9eu9Y2WfFXjjfyHz/1uXb711kJ2NRZu6jXV5LOXcZzsq17SbPLPe5xTXOeTX4bZnAnbjMOB/vs+Yy7y9DQcUnf9z9LDNmtsb7Ne3L+14rXUvpinWfKz7brBuquPNL7WLQ/qp/6CfKt9xRnHHk+wfPGYIhtPCg86ZurBtwvbWM8y3Hw2nj/rGNx72i/6PjM6+O5XW3SCS5S45aP7bvbGdpw8Pd3jImct8aj6lcju3Z18rCQbt3gdadlWN8zxuypPFeXsbxDvt5+/vzlmt6fIHypTmQ93EWLull5udB/8HfVYb7+Y6HBzTHc9+3iu81/C4HPyfgA+LvOYkK4hdrc7RoLsUOWt7Uf9+gzjLRJLucO3pXMWXM/leXPuG0rbi/y+ZPhUe2vx1MtoI2gtxBC+R93GjXwnVzfy2lVd4x49cvyhD4azcY2X9CMYw3GqSuE3KWOJe6gz7M7KEAHgHg9QD+x4aLI4QQQgghhBBCCCGEOAecyydpA75s+vsnUuJ/IQIA3tvMvgzAPQG8HcAfppT+4rqVTgghhBBCCCGEEEKcCBKAycrCnBbbvzg76CbtFDPbA/Cv0AWi/XjPah8//fHbvQTAk1JKrzvmfl7ek3QrAKSt7hILQx2LEJtKGFdA2wWdrz2ZcPzO7OMo0A50G3s9AK3LIWvzbpf3bVsoC9xnCuUZHMb6hqFL522HhxxS5NUIHDLOZebwHJ+IkCi8qhbC27tPlHVehEwdzJaH+/kBDa9R5TQcTwHrD64HFC5lHHracj0VYV3Ryvki17mNJ71prIUwH5JYXE8VlYBXGFSUBS2xF00Kgxa9Aa9L4ZgYu+uWKyPxuQ1O0IAvksXbZriflnD5YlyIy5SFbvI4Uatzn3fD+SlCQrmtFsNGEM/cEBLfNC9uUJwUeoNBpX9YRlmwYH/eolE41vo927buJ99pwz5ru2lSFCyRV5Hm+pZIZzB3uT88NtpvWbzjn7xqf96zz2Pl3VBvxbquXMV8iMOOs+14rObdcui9U99U52GLN9CsT+B8KkqGrEz8B55jb89ikrlvsSFrf+jrndcQHBYT2ryIB26Z1q2NG16HUKg4eL+j2QR9cC1XIUx28vhsG9Px+TqvzUtcQQZ8TZCOglU+fj7PIeM8mE22eFLXv25RRLfuODdVYExh7sODvCBbV/vn59xO/PeeQVMHAXjfQaE/WeL6CeH5+aSiP3CdDfcHPHZPfP9Q+e7BVeXbwqSizBhd6B83imoM1AKR3oDLxDqDYl3WHbjlUG8AZHPjDd6PFOLMI93BjM8FcDOAX08p/SOlXQHw3QAeBuCW6c/HAPhdAI8F8CIzu3T9iiqEEEIIIYQQQgghhDgr6EnaGV86/f1fOCGl9BYA/y/9+aVm9gkAfh/ARwH4EgD/sbaTlNLD5v19+oTth7cUWAghhBBCCCGEEEJsjrFe3iVWhJ6kBWBmHwzgkQD+CcCvHXe7lNIIMzXCR6+haEIIIYQQQgghhBBCiDOOnqTtqL0wLOKt09/L6w7MeWFaPLORb64QvNbLMMsoXrVwU6Xj+9oyXyUfXMVRm/vMav5X9znw1QKlk3Z84NJyZRcmB+SzdcuFr5byLcrRoIUqHIdZRvG2mZ+X1VlUpuF+vsLW3bMKKMobeFhbHZpNtDiwIs9nzQlaXF/9eQ1YxuyLWLi12EEbpC/jy6PyFq7YgGLd1t4xK0iDk5bb2KA/zQrZoPWuy+e2cBr6dHYJ0raxz5Y27V+z9CgWnWUkI62sG9V5cTzBqmt8MiBrY0X74nPgXGiN/uo2t7T7zA7awlFLG0cOV65zzitwz4fu2yVcsTWP9jKu34VZQm9YdcWG2wa++Mb9lOkNPtsonwrhdRx6ZCuu0UDhWswJCtFi/76KKWrhZk9zPy9Ngwt8qYyX6IMtGHOK0nL5B9S5DJ2wcsSTUBoXd2YCS7uwm6/b4jLfJhEm99nOm2tXD/Ik2s/gMBe1emftZCd2goZjBe8ncIYO+XxskeOUnLXJzSEKByiv68rI19N4O17OvlMUHQAPULPMS68szxX7hansPC2uzew7Xtt16/vhxF5mOkHcZ/v5lHfOAsBoL6/0yY53z7NfmL9bHv8YRnv913WgOe/2S+3Cl7HmlfXpNX9t0f68z3aY4nWDecp5JwEYh1/U179/cXY490/SmtkFAF+EbuT6iQWyeMT099+vrFBCCCGEEEIIIYQQQohzw7m/SQvgc9C9COzX5rwwDABgZh9lZjtz/v44AF83Xfzp9RVRCCGEEEIIIYQQQghxVpHuYPbCsGcF63wfgIeY2UvQeWsB4J8DeNz087enlF62dEksvSfMIHHMTRReUCxH4VWLFu4Y+BCVSrhbFqFShIFb/7rID6+Iogl1B7EaYUJagoG7OgZ5JFYRpjoc+DSjNNYfBOVoDWtvCIXOmtCYy8TLeeUkd4Bl24zDZSOikPFqWL4PHx3HzohYF1IpcKGGcOFiVE+DfWpEyygZGsIvw9B7XpfCIG3ijmHQHzoGIFeNFKHBleUoraL8yNprsS2HxwaZ1ULkfd1ssbMgUCVMAuXCvGVHov3wcrZtLfZ88UsxXpdD/Roy5pBdvqB8SCiPXRxumVhB4eEQ16aDP37F1XUH1r9uf/Rosd9Ib9Bta/3rMmH/F2/apGBoYZltl9EDRPOJamUcrwxzy+H1ABWtgjXsp4W4TDVFQX++PCco9AfRvKx2fP6aoOs/VAQBTaqBpQj0DS3jYG1MDedEPO5F4+SQOp6tC/15HeST3zSiOQ7Xue+HD8kTxgQh5DbMY6yHW7R8y+VZNnt5LPdkN19OLuw9HEMaSTyXp7wzDQOfWvqeM9n2K+RpW/v5tiMyUEy2Z+uzmo2vTT9uTGiuUagegqmU8VSX5kDZEbTOFQOtRzKaL1GdZ99VSFmQtqnOXTor34q+xHjb2efRhVhjFPVxvO6Eyjje8Wn5uuOiHcwv37xtQ6VBMccJPTlB2nnEMNno84/yT5wlzvVNWjN7MIBHo/7CsJ8C8JkAHg7gkwBsA3gzgOcD+JGU0u+tuahCCCGEEEIIIYQQQogzyrm+SZtS+msc498OKaWfwGK+WiGEEEIIIYQQQghxBkkAxht8mnUVzzWb2fcB+AgAHwjgXgCuAngtgBegezDx7XO2eSSAb0P3nqYLAP4WwH8F8MMppbmvnDazJwH4KgAfjO61wX8G4AdSSi9cwWGcCc71TdoThwHpKOSleOXt7GMZBnn8UNQ1RXhN/9DzGZW3GXNIK4dWFFFc/i2oFA4WhYRySF7xglt+i6hPzJPit2XzuvHx+XKw6qEldLO2rg8xZL2BHZLegEOH/VtQ1zj+RKGnxVufXXjV4IBOJodX8htgg5C38C21TEvYfi0CpkUXwKH3HG6/KqJ6XEZ3wFTqxocGFmeueHlxpEaI92MT145qCgNfviVCKFmZUZTZKxhW2YFzOYq6clqPceX6icrF/R9vO5kdn3G/Q28VzsaN6uylX7PQcr5a+7s0mP/5WMuBKiEag2paBR4bYv1Lf1JNwbBUXksQKpBqLKNOOGY+ZV6xeinMtza3yvKl67ZBHcVl4t1k6VVdSH/IdTHfK8YC39A5/D/cTbztutQIDQ2w6Id400F/3HQ5X6Vlnsds+w6TOs/i5LtxcJ9i7Rnelvcb4Y+By18sU11cuTpLquwmTWYDSSJtQhEu36Ly4aZbXMf+D3kpJ3zJOB1bKrQ/+boX3pn/YbzrwvZpnlwcnzv1ZbfD7Y0WR71rlqOtm9eUyiNeuV8tkLbz8zWhZVYa+PTRXr7ueCcvte8Dyu+Seb6jvbyIXpUQqYiAvE1x+2INQaE08LqDQG/A6xY6A54vsQYjmE8UHoxAgSTOBF8H4BUAfhvAWwBcQnfz9TYAX2pmj/DvcDKzTwfwCwCuAXgegHcAeAKAZwB4FLp3P2WY2Q8AeCq6SPYfA7AD4IkAftXMvjql9CPrOrjThG7SCiGEEEIIIYQQQghxPrkppXSN/2hmTwPwLQD+HwBfOf3bTehuso4BPDal9KfTv387gBcD+Gwze2JK6bkun0eiu0H7dwAenlJ65/Tv3w/g5QB+wMxemFK6fX2HeDrYpN1YCCGEEEIIIYQQQohTSQIwToON/axCdzDvBu2U509/f4D722cDuDeA5x7doHV5fNt08Ssony+f/n7a0Q3a6Ta3A/hRALsAvnihwp8xdJNWCCGEEEIIIYQQQgjhecL091+4vz1u+vs35qz/UgBXADzSzLysI9rm12mdc410ByeIZEDa7jw+hcLHu6h4wwX9cssSe2YpifWOXsjE+bAoiSQ+3oVWlqHi+PKwx49WniAoY8XflifSpuSIypy07MllT1LhCHULlXob7zgnI/m9Btv5uoXXiv1gEYGTreaQ8+nsoB1QIxp4j27FQVv46Hzehci48r/IKL0QdS0uiE6Zr43SClddkG/1eNymNa+s94wdUmMdc1ttcLpGPmhaZlcxy90sEi2yh3CJdl2cg7wQ4XJxvB6utvGsnqvnp8UHyBRuX1cGvn5o1aitskuQXW8p8M8Z+/S8y3JMaUNy/m0H1ryi72+g5hwP/HOlk5aPr38/kQ+26lEshKIN+xkEaQ3DbYvXvZWseVacrYWfN7iMI8XpUjT446vHU4z7fl3uK/PFge8vmpy6eb3VxnWe80zcBkU/Gs0JeD5E/d3gIF8eHnqvNu0mKHOTr7ZC4bgP5wS0262gcVa84HbtME/34zHX+ZDnEy6vnZ086eAgLyPXlRuv0jiudBu6/n6HBJvFHCeot6v5g1+Dw1Ge7jy0k0u52HNygfdLefvxqXL9F+Okd+nzOxX48NxYUHOIT2i+nn2HoG33b8p3tHVltgLP83EY+2wH/hzQ+ShV0i6dBby1dwX4MYfbeeGtz/fsHbW87Thvyln/yHV8eInypQMcuCY23uEy5ev6bSd016XwypJ3dnyhf93JDp0vlze7vque2WzuUdnW999y0p5EbjWzl89LSCk97LiZmNk3ALgBwGV0LxJ7NLobtE93q33Q9Pf/nrOvkZn9A4CHAHg/AH9tZpcAvA+Ad6eU3jhnt38z/f2Bxy3nWUY3aYUQQgghhBBCCCGEaMbyB7w2sP8V8g0A7uOWfwPAk1NKb3V/uzz9fUdPHkd/v3nB9c81ukkrhBBCCCGEEEIIIcTp5NUtT8z2kVK6LwCY2X0APBLdE7R/ZmafmlJ6xTGzObpr3BqOsgq97qlHN2lPEAbAto7aZdA+iyinhrbcGhbpk2pxDT50hEN2DylewkdejShsZj9fHl5riakkgiJzWAmHh/hwEA6b4ePjMJQ8X1qmUJgsVKkIde5XPfByVY3gQo445MY4ZLwIBTy+wmBw2F/ptTJm4egVY3Z2TopKjsPAi7DxFoIw92rYflaISgh8qDGJwqQXjytORbhevN8sacQXRRRO1fjf3mh9Di3LFCCBCmEeDe3Ct6E0yAtRhPBG7SBSpdSoKSb8OeCwwNo58CGHXI+jPIw1u544dLbwN/SH6RqHxwbrFn0yqRIGh/my1x9MdrguGusmW5f+EKoEVpTvvPRoXb5GfDp3ndF+WssUlDHUN3AocEWJNPDNpnaJc5OK5jwN5S9VFnE5IvJxvT+tuhzpkZDrNooQ/8JpMreo89O4Hy3GKx9mzGNzf1bFPKUIfe4/hgGFcg94vIqm3C19dKGk4bz6M+P+oZin+DZVG5tZ5ZO1C9p4SBNC37fecDFP8/HXAOyQtArX9mef93M1Aqh/9zoEY0XBkDqtSH+wReXfom1d2x5cyctkV/Pyp718Mj/ZneWdCoVOjD9/rB4pNSVePULrcr407l98w0z3cHALxfRTR7R/eba8c/ckWrUcyn0DrIwbXqWQJqQ8Cq6BbgX3XYXqnPUG0RhU6+t9+oSUBayCOLyY73fkLovqWO2a45j1BhdoeY+Wd109bscagqz/q+gNSq2Ra6u1ewz91otzTwIw3uDrntZxZzOl9GYAv2Rmr0CnNfhvAB46TT568vXyvG0B3ETr1davPWl7rtCLw4QQQgghhBBCCCGEEO8hpfRaAH8F4CFmdq/pn18z/V04ZM1sC8CDAIwA/P00j7sBvB7ADWZ2vzm7+YDp78Jxex7RTVohhBBCCCGEEEIIIQTz3tPfR2EQL57+/sQ56340gIsAXpZSciEW4TafROuca3STVgghhBBCCCGEEEKIVhIwToON/SzrOzCzW83svnP+PjCzpwF4L3Q3Xd85Tfp5AG8D8EQz+wi3/gUA3zNd/M+U3TOnv7/VzG5x2zwQwFcB2Afwk8sdydlATtqThCXYYOrqiZwwFQfMMo6YTIFV8cCxZyiNZsu2n6dtXQk8s6y7KfxmPYU9DoHnbrifL7PjcOI8QuyPinx0he+14iuywDNmhTu2f7nw1wb1WOZT8ail4HwVdTNbYbhf8+QG6bQfdlP5JfYJF/myk9GlF963Fl9tzSubrVvZtuFfZuwky73G5Bmree6ylWOXYOZA5XXZEcqyWM8q/z24qK8WKK+3aD+0cVavLS5ilOevN19aLpoQe/zIFTtHKjeDvX2MLwf7ujnf8WT+52NgLq/EFcf79dsV7Ws8d733rO+yNvKgG7ksM30y9SWJ+llWJfr+f7LNHsKKFy7w6UV+25r3nJcz33DNSRusW9VdtxxPg7eZxxE/VhfN4no58yrjYjS2RV7cpeZDtXXDOQEtsy46mytWXOY4/jhfEHmBizaTrzzedX0LXeOJdKkD3yeP4hMU9d9VIr9/bVs/3zukE1Jzwkdl4HHEd2rc1/O4UaTPOkDbJgEn+WvNu2SLfCvj07X9/jQeg7yfl+ZHRh243UX16l5ekW7Mfa/8nSGErxH2zgana8LfTfby5Xc/YCYy3b4Se2Y94x3uhPPFsO+h8g9o7J64jYtxr/J+E++d9dcwAIwu8ks9aNFdm8V3vmt5Ofz4vH9TvvLBjVSoyG9buL7z5YlrNuygHZGDdnIhP3+TLZd5MY6zo7b/PoHxd6RwPK74ybO0dVhQxQb5RADfb2YvBfB3AN4O4D4APgbA+wF4E4CnHK2cUrrTzJ6C7mbtS8zsuQDeAeDTAHzQ9O/P8ztIKb3MzH4QwNcD+Asz+3kAOwA+D8A9AHx1Sun2dR7kaUE3aYUQQgghhBBCCCGEaCTBMNnoi8OW/q/07wB4FoBHAfgQADcDuBudI/anAPxQSukd2T5TeoGZfQyAbwXwfwC4AOBv0d2E/aHEb6Tutnmqmf0FgP8LwJei+xfkKwB8f0rphcsexFlBN2mFEEIIIYQQQgghhDhnpJRehU450LrdHwD45MZtngPgOa37Ok/oJu1JwoDBVk/ogA8dWWd4gQtDSRMKu6VlkNJg+52z5jSg6KmW0L+yTEFaNSS0krfflCOFsxDySpl8FHglJJQsEXmoOkfs0jIfjw/jN843qHMuI4deReGlhUqgCPWZ5TXJo8OAPNqtON5B8u2c8uUiev1BEaZVCU8MQjWZQgWRJXIhl7g2izB3l8TZcjtwYe5GYY/FJRCVkUL/iusnU3NQebc5XDHYthXf/papY4bDxdwxFfvhdu8KVagdahH/Pu8WVQKH4bLeYEQdrx/i+ZrgvClsNW153QG3i37VBbe/MOyW4DovxhwPqxBo3VIJ4vqWQV7GIfVLY/Nh0vE1UfTJLusBnS/fNwIUpg/ql7kdBH1c0QdTobgpe2NDVZWQuR+CtHlEoerRqT3gP1Ty9ZfTEnqAYpxv0qHQuqwHmMz/PHe/wfGUyozFn5zxeVV1By3dbnB+ilWXmf/VxgLfzjlkfId1Xa4uWH/CfQld11k9FtaVfoVQ7dwV85iWsS/SOI15Ytkwx2GFAeNVA6xCGO7myzuzCWJi3UExT+axj8e6Y9I4ZzO3n+FVCunfycvMSi6/L56fl4+W9Zeh9p3C9/eTLWrnrNzJlFWUbUXrlpcpHmPS9vH7pWLc99cI1enhpXz52i08AM8+jun7x2S7f7mmd2F8v8VjJu/Hl2O8R8qFHdox3QPwmhZuQzwHypp2pWMt7iNEpraGdYUQq0M3aYUQQgghhBBCCCGEWIBxy9NhQgRsTpwhhBBCCCGEEEIIIYQQQk/SnjSOwjDDl8TX4sP8tpVVo7BIfot1GuX39AekOwgVBi2hPDVaXqjaojtY4q3J4baVN39mYe0cuRO9URSIw6qDsNwyPJY25TJmb4GmcCrqRXyIbxrxCeDwnP4TNOAkDq/q3RJliHUlZDRLq7TdLGy6CJWL35bbhA/VLMoU1GMtnC/qXGoh8VEIGIfEU3jpUpoCd1KqEa6+jI37zMpY29a3ocobo5tCkqNrelLxKHD6xFXGgC7UKByWl6sdkwtP3Kl06EXsff/1ZHw8fj9c58VuqP35kOS4e6godlb3lERUDg63LDQE2TXPafF+Bz7vSpfl+3cO46yF4baQzR8CJVC344Z8a/15NrbRujUtQct+gvlREU4fqBGYxMqWaJwPzlc0LwHmhNpmSoZYl1TQMtmKVBa1bMPrmJbdeFVcA3TN8xw8mxPQCWP1V35++vtCoOz/MpVMkUYXCfedXnEw5rj2hr6f98NKg6xf4kaV79crDtIO7Dr8TwAAIABJREFUTyRp03wRtuVWqIy3lh1745zA1bndeTUqIiY37WXL44uzDnPMOodiRz2f5ywXujI3tg2vUvs7JEVDpkNgHU+e74D1ZEHVTWi+53VJrGAoy0/7defo2s15vV25D+sc0LtcjJl8ClLP53kE5yCRoqAsk0vf5muArnlaHjg1k7HiKbxP0J82f4PgO1F04vXQaEYCMN7oi8PEWUJP0gohhBBCCCGEEEIIIcQG0U1aIYQQQgghhBBCCCGE2CDSHQghhBBCCCGEEEII0Yxh0uxwXO3+xdlBN2lPEGYJg+F8o0jVQ9ubab7Inr7Cl+p8o2lMDtq7c6HP8ErgpCVqvrOIJu/dEq66Qt25oO+1cNHRpsWxR8fDaawSa/HZ+nrkY6vVhVd1kteJ6ynzt7G7jT2RfBK8c3JYNN7eMhVUGli2bS3fyGE4iivOAudV1dHqvYSFO4wdX26ZXbCRRxaI3auBE5QbWJN3taUMx0lflND/WrkoHJkrEECikZUdtZEwrGgXfrnqemQ3pNt2XGkIgY+4Ouf0PsfhsDdtfhndQR3mZbR9EjpmgsrG/SwI+6uL64ldfCsa24qhmq/5oU+r7Cfy6VW2NXcKhtzXV5x/7OYLceXgOi7G4hb3aI0Gb6mvq1qZ2EXqvaWD2vH17BOot69srF6mLRKTQhLvN84XC8cuH6+7NgvXLWfthxy6FgfkvOfxOPcN10TUDXC7yPoAcoCi31GbeHhl5yS/M8LXG5eJxw0+Xu+hLdYNxvka7Lf127IDdO9CvrztVtgiryz350TaDhyvXCR/vI33T9IkKAe382sH2fLQzQsOLt+Q58vjhru+2O/K730Y71jv8u4784utcCJzG3NwP1RcM8G7HCa7ecWO9mZlGl3Iy3t4kY5vh8s4+zymNF6X68bPvSY7sXM39wD3u70BwMZ80ft90rb8Pd431fg1HcUfzOU13CIPdfH9ifNaPwvfmxBCVNFNWiGEEEIIIYQQQgghGtGLw8QqkZNWCCGEEEIIIYQQQgghNoiepD1hDHpCBxYNKWC9QRElyNEsI3ff/irpDa5Vwo+C6KMi7M6F3PB2RT4cMu9D3FoUBVwXDdsWoS/B6eB8KtEseVLt3yaRKoG3pRBDf7zVaLaGKJoiRCpbmcIROXTY+sO6ytArWo5UArXw2CyfSmUECgPbqhyfLweHxhUxyJQe6CmKiCkfKsgaggGXiSvHhVCOuSKPHz9V1TdkhaqoBGph/Z4iHNgdT61MvK2vWQqnL+rNh3mOKEyfdpO2o1BhDksNzteIL2rubIJ65XDlEcdj97fHovS87lZ/558GQ1qmSnd6BNZGNGkuaF3Wb/hwUg415fDStHX8dl+W0e0n0uLUaNi2CInnZdYQNKgSfB9Wm4Zwug/rL8ZQ7tPG/WkFgYKmRqSzicrEy9WQ/hZdUnQOuE4D5VFtv0X4clYGvl7y9AmH9GbXU77umJU7Rb069QMbTQLKsboSonz8rOMNuVsd8PEF4fQULu/rqhifivH2Oj0X1aDjKSfOwTyG1DdFiL/X5NR8XTw38XDxaazO8q7Nsfn68eMTjzE0rk/28lj8g8sz38uYdADcVr0ahjUxrDcYXaR0Z5E4vJRvvPuuvMwTN7Zt7XMfRjqRoE+b0LF7vQEA7N80O979y3k+k11apuP11wgrdSa7dDzb1C52ZoVk7UDRrN1gUGgtaHlwjfR+h26eOeH+gPLKLRgZXMZE2g9cnm3MOhS+X7Au9UChSRRCXBd0k1YIIYQQQgghhBBCiAUY66a2WBHSHQghhBBCCCGEEEIIIcQG0U1aIYQQQgghhBBCCCGE2CDSHZwgDMCAhWPz1mtQaBZOWnLlZA5aIPPQDq6SQ4lv6ZP/JluqONeS85ulrYpHJ1Bgsfsn9Myy87NwxwZCM3aSURF9VbT4azkzXjfQ53XrB95SrnN/vIVGseYanMz/DKD8V4/rVVjNVLjcyHmVef6Kc0mOqMBhWHiNA69s3Rnc79erOgzdjti/W+yH6zVru5TW4H8uPH6sInU+vcgrXaVwBle8sxHRvw+jemIKLyl5xQo/r09kByMVyi0bu2IP80oOHcJF22RHbXDh1uq0wSlc5HVwePxtx+6i5zomjxp42ReBtx1SnY/r42Mvri7YjRjVU+GVLfyv/c7JIt+KZzaMkgvKUfpDaXknSG+JzOvX73bJkTOdCdatjU8tPtsmv22ti3L1zN7VFopxb0SuQdd9DA/ZyU95sWfWO7kDBy3A5yt2jUaO2gk5nNkxGTufKx5MWo7KVLx3wB9/xVfrS2F8TVcngP4z5VyU0TtbK3MCysv8+hPKOPCCF7DLnPETS86Xl3mc8K7zMbnar9G6zvea2EtazBX73Z2Fy5zPQdQnc2fD45MfNyyv88Obc7nq/s35QYx9v8vXEytQXZ9cc9Ae3pgvj/bcbm7I0wpfqveEX8nX5Wuv8ABndRV73fdvduW7RNmSk3a8Rw7hHTcn3c7TjL8vspfVnb8lFPDFd+W0k5djcjBrC/xdufzO59oQtS9/rACAvfwkbO3Mlod0f2AQOGonKwy5T8E8U4H9OQmGyQaffyzuY4hTjZ6kFUIIIYQQQgghhBBCiA2iJ2mFEEIIIYQQQgghhFiAcRHiIcRi6CbtScKAYRAKekQtjGHiwqBGpDMYXaNTfi0PXRpcCzqXSthnlk7HMdnhUKX+GH8Oz+GY+SL0zG/L0Tk+xKgW4UX5ZqqIBmVBGEc3ZznTEFRC8sKou8q40DJuFPXoT1cl3DzTAXAPU4TE0/LYh2rmaRyKNfEhrhSWVYRtUcVGIbC1ENEomiRxeGKkieBsizK6sC2+Juh4bejXpXx5XQ4j9PsJw9sQXgfGeoBC5+DObYv6gGmJ6iw6rYrCoAFfV5m+AAAo/JJ1COZ1CBQ+Wg3592zRBTagyom25XPA7d5vyuGxFPYZ7ofh0NQgbJzrdZlALq844NDMCYWX+vDtIlSbqrgcB603bcLbFnn1b8vr+vBY1huM92iZdAfJrV+GjOeL2WXdqMkJT1iwn0Ibw/151AezlYT0AEXXs8S4mKUV6p7+9KoCyVPMFyp6AKdwqY052ZBT03pwFP+of11ub7zsry9Wj3BorUXaH6ZFtxG1c+4Lq/v1Dq6gHwVoPsuFoHWLbd2WPHZRGHioGzLueGi+fvMsPn2yTetW5reDA687qNSFq7fJDo+DtKNdSo/GDZ6HueMbXiEVUW2+F+Q7ofGp0Hx4rQd/raFqHV+YrXBAyoIRL+/RPIb267n6XvmOL77RLSwxoHL9j/by5UNX5tEN1L4uUae1S/MjN58dFF8SaLG45hebW/L8tUbamZ37RDqHQiPosh5s5Z3yFukcBsN82SsO+P5AVOZh6/FE9xVatEVCiJWh2/1CCCGEEEIIIYQQQgixQfQkrRBCCCGEEEIIIYQQjSQAkw0+XrxEjKI4gegm7Yki9YYvRKEI4zG9cfRgdlrHd+VxMIO78xibIhwuCNsvijCkkBv/tml6EyZo2YKIL4x5x+ilCNXkqFy/ceObtn3YTHFa+C3C0fG0hOjx+aiEokZJLdEutReBhmH7DeGx0Vu5AYqi5mi9YNvBiMLQOMqO3p4dHU/xVuEoajB6czNyhUERshu/pDZLr7W/gQsrLOq4OPb+UM5CjRDpDoqw1CBMFchPShSKOQ+fV/FG7P63MS9FrUw+9GzC/RuHyFObOnSNYUzbHlJ89rh/3YJCf+AaKIePcjtgjYQ//porJXqzOLcTTvZh4BNuvPxW+EjHE687ceGJ/jMAjLf7z1ehGeDw7EBLwG+9L8cY2taPoRwOW4SMzz5zOOz4AoWX8pvTh5W27YuYXfPHH5s5veiXiv7c9ZU8VA943f50zndSCduPYFUC3PKgcikWhPMYGr+2U2+a7cbqnsGhC+3ez3c63Ke+xpeB+6hiEGXtlFt3zPvJN+Xxy3dj3DZDIhXCvNUzBVd/CHy3cs9nzBt/eZyMysCeiL4CzoN9KW6frBeq5OTHpEQKg8lefhK8eiCxyqZS5InTEtRUArneJc64OF/+3FeGp7Hr7w8v7VK++brDqxR+fjhbHl/I6+3gxny5HEdccen6Gl/I9+v1AIcUPs/9OesNfH+eKCQ+3ZDvd/+es7rYvpLnw+NVpJ7bv5xX+p3vl686umFWb5OLeYc92OnXGwCABdq/mpYgmv6F2xYahdoV5bQynLTLf5gxGATfhVHqHXw5WpUMEXxPYfG8dVtQiHWhm7RCCCGEEEIIIYQQQrSSbLMvDmv5L7Q48chJK4QQQgghhBBCCCGEEBtEN2mFEEIIIYQQQgghhBBig0h3cIIwzLwwkYOW1UzspB2/cyavGxzkaYUXk/P2qwfOWWCO186ns5M2cAwVftdCgVXYVt3KVEauNu9UYudO5ApD7jsrfKihh6fiISR8Orv3Ct1mg+92laYg79ZaqZOWvItZ++T9cNsN/I3czguvX+CkZb8e44+vrIv+k10ca+UEeZdd0XTJ9TbxPsfK8QzYO+vrgvy1oXuvOO+0Ltdj4LNdhiaVVksZjdtMXrHe4WjUeRTRTvwH74pln+2IJclumGYn7eFhvjwa9S9fIFEaeWRD32vtfPm6GlQ6saJNBa7iSDBH++Hyjy/l05vDS74TKwR0eV7+9JBLkB2aUXot6i3y2e7fI08b7aXeddMWpwVjM1Mbn7KFWqfVv8x+w6Kfck15UJWk026OPxyXyb7/43EjUCRPWMPMdUz7HUbzibDeKusS3ivJnlleHh4EUtcWDytfP7Rp4RAe9qdVy9FA5pYurjXyujv3KPuGuQjNPuI+2MMaTHUB6uNonLCteAwa3ziToE62eTyK20lG5b0JmYO39t4HR22OYwfkPT5gYXRPGQCM92ZjwYR9vORhHV/Oxw3fn493Kj5yVgi7epyQU3y0R8sX3X4aHLTFMpdpKz9h+/d0+9nNV775Nfm2gzHNEdzhc12ML+b78R7aVgdt5Ecth+7je2bLvJzvNUirblvZD3tmo/20uGFbXr9QTq1WMwdXcH1OAjDe4POPMgSfLfQkrRBCCCGEEEIIIYQQQmwQPUkrhBBCCCGEEEIIIcQCTPTyLrEidJP2FMIqhCLUzycbh8VwWFOgNGBFAT93TempP8opjongNM6XVsjCNCZxuFiK1qWVbRyEMsWbUlpjSOhx0xBrMKp5LTFuZCGXlbrwh88RNTUtgdc9cNqEdRQufVIJwRsE+y0VDHSAnLdPXkJHweF8EWXIa3+753UHXI8jDjuebTzY4nxbdAf5Mvj4sjKuMCgnivni8hf1SOle91Bs2x+unXgkLUL8ab/bwX44jNUvc0PfzndsB6Q/uLY/+0xqhETbph1a3uZ47oCoz+PzE+lEeIwJruvxXh4DOrohL/9ol8Ix3XKhPwlCbYs+jLsHCmO9em+3Lh3P1t358ugGWr4421nazncc6oYaxuZ1EkVQcoh/4r4/m7fkaYODSjh9S/g5n08/5tTqKWrmlDYiu8iV+80+D+gyHV7Nl3fvcAW5xmHe8X49Rfj1Nq/gJ2394wKvWttvUZHB9TUYccbH309NJ5KpLGpzK69GqCiDmq6nMo569rnSbot+yutu2I3F54smPeMLs/6x0BksdTz5YlY3rMEIti1OT0MlF4ogYnA462y2uQ/eG9Iyfw8IClmbxvhN+XTRuJFpcmjoTdyfR9/NKuumvVldHJKW7u0fxo6MvC4uvX62PL6QrzrZpXmMU/CUOgOsj6xLS31JRXpdb9CfFukMankvs98WllEjCCE2g3QHQgghhBBCCCGEEEIIsUH0JK0QQgghhBBCCCGEEI0k2IZfHCbVwllCN2lPEAn94ew+JGJAoSMDVha4MJMiDJzjczisxudVxIBymcJkWrf/bZ5FSBeXiTUFbjmN8s6wCHv02xbHE6sf8tDuimIie9Mx7aamHfCRz9X+9TrFoRS7iULKj59UCx326RzNV6gRolPLIf78Bmkf4lqp0iJE3i83nI5ShRCHXMeqBF52YVv8hnIObaSQVx/GX7xROWqQtXrj87Um3UHYhoJ6mp+ZW3eUrzugZR8CW+RbiRfL+xbKd0h9mgt7t0M+udyfc5ty6WN6w/Jh/nbsdIF0B64c/AbsNGSfiMu3CA0OylQj6Dv3b8kb8pj1Btv9+pqiXXC1ujHp6j3zfPbvka/LIeRjF/bJIa6HN+XLHJo6GfanYcidnC9v7WIMktY4p89ONZefZ5+uHyreHE5vQjcKkR/suz5sXOlXuYx+HKG5B5/bdKk/39GlvFEVofjbQUg2dWJXfN6srznMM966O992782zz7t3cOhzvm52fMW8hEPtKRkNtITaFvorl82E+yHeuF9vU4wTgc5hQn3HoFb+YNrMZcrKUcuYm0w0Hhfz2f7lYk6wQnLdAaUFmoWaTmPME0LPFo2ZwRjD41ExXw/mDLVuthgnAzVWeW77y1RfdmNOZd3s8Id5ISY77KTJN77zxv52Y9S/2aDFQUO7dfstvjtWv5emvqQwr9o4GCkN6sqCaNt4v8ctQyvsTfWXTItWT2YEIdaHbtIKIYQQQgghhBBCCLEAk5osXYhjopYkhBBCCCGEEEIIIYQQG0Q3aYUQQgghhBBCCCGEEGKDSHdworD3uGBqjhsPe2qGlw7f83k8yE8x+28Gu7mX0Et8Jocs/Do+Rq4j9uZ6h1LhKWUtErtzvEOz4vlE5MdiwRRv68vBLiP25AbuqeqZXEYP1rJt5DitefsGgTCr5tyNVmVtFbtjg3y9jy7y1c5dzvxLcZk4ciX3iQZplF7sp7WdBCt7d2zpZaZ1Q0/r8RtUtYui9IE7R3z9RH7AajnY2ei7tKLSeeN+h5yx028rz2tw6Fx1IyoE9w9EWHXsDHbHYDt5nzw4oIY/oMbqvbkjXpfOAR2D9+vt33MnSxtdiP2HWVrlXPrrqxolljkMG6ToIG9zrN7LXJ0Hl/O08Q6tu0Nt1zmEOd/i+HgMGvSnla5BL8KkpGjdGivUVVowLha4dl546Hlbam9jv8zlL/oaKmPghE87fH5cGdlhz+dymXOQTcTylPGYrtPtvFGNd2bLwwNyqx70z2MGPBXk8SkQcraqEr0bd0LfQkrPrNsP9/U87hfOWn9yuRT97uIJXafcLlglm5VrzDsK2nLN0V/0F+4P7P4ufPKUl7++qEwt4221f3CVU/OjpmBdrkWuiok7ScX8IfgeUJxLuia4nRfzKZ9G54CdtP4EFp7jQ1o1mx/laS0a94KoOdZct9T5ZM7uwAU7Py9XpGLVipC4gezwKj7byAfL36tjr2zNSRsmh/tdFZGDFgBG49nJnfCYyfcYou+D55wEYLzBOpEj+GyhJ2mFEEIIIYQQQgghhBBig+hJWiGEEEIIIYQQQgghmrENvzhMTzafJXST9oRShOs4OBwiDfKQlB2nMJjsUDxYLazd7TeN+zUD8zAXWjbYojCZIMwkJQ7bijs4C0KXirCTLH45zDYOC6qE/uW7rYThRuegtX8NYzWDvGthdsEu42NvowhZDgwbRRmDMLRaGJdvckWTCZQFvH41LK0/IrlsBsvoKPxCEM47bz9elVDrH7K8ahoFqoxJ0P6sEm/p8y72w+GlXg9Q1VFwOPNiExxux1apyCz0tBILl6XT9TEh/YFRXoM9F7d/yN6OfN3DW/ay5YPLs+kB6w3Gu/myD/OshrjyMfhlDjPm5SBfrvKta8Ey6w1oJjTac+HYpJ9g7QUfT3Y5tegNKL2oR+53s7jO2oW7YFrBEp197XuL7yuL0HoqJJ0DbPcfBOuTwPOaUf/1lbZpHuPmNaVS5/jhvmUh+/9Q9C1FKH5exrFLf9et+crDK3leF9/o0vbzfLf2+9UI3bIvbducYOD67ER9bnHNBNcTn9rynHgNUHx+sjlBNLdAWeasPx9yGm08Ca5x1hBwqld9UcaFcofGxcHBLH3CeppoDCr6oYoqIZifF3qhQbAuMeHrwLe/QnuxeD812OcJxvx9djumOqa6mezMlke7/eUHcnXHZETrcr/E5XD1yPOu4mtBMPctCM7tUv3dCaSmN4h1B215L0qLBrHQBAZ6AwC4dm020Rnv5xOinYsH+cZbrrEqvl6ItSHdgRBCCCGEEEIIIYQQQmwQPUkrhBBCCCGEEEIIIUQjenGYWCV6klYIIYQQQgghhBBCCCE2iJ6kPUkkYDL1yLQ4bAqt59B508gjNibf64T8bJNxcN++8s8h78sZFP488iR59y25cyYjKgOVyfuYVqT6WZrsENhlVNHr1Vxcx6X0YDZkvMJ6bDkedg9GLuYWly+769jjl/nMqt5SWvbb8uUS5UXetKqkNlLFRnXBvXrDua36a92xD0Z5WiEIZPdj5najjGt+W+fXGxzmaQN27428p5nyGcWVkfVT7KcN3Lc12BPnvYSDSj7hJcFpW1Tnrr+f7OYN4/CmnWx5dDFvzN5DO96hPpr2472t7HetLXunK/tdw76StYp0fW2RY9N7GEvnac7ogttnxZMb+q9r3j4eF6NxpLLtsctU0NJBVJKXGZAbyliME4PgmufrmD2zQVuIlKHNTsaW8csdH4/rxTDBfl73boAxHetkO2+8d12YLe/ckRdi763kt6Z+d3jg+jByaLKjNiJycwJzrrcWMp8ti6j752nluB4P1ll75P6cq8KXo8UBD65X6oPpmZvCqenKNTzIK509ur6uWpzBAPdhsb82WreAzpcvB/f9RV6Bp77wKRcHND+feXkVXvQrs3o+vEjXE82PBk77OeAxkpYLL3V2/OzHp3W995w909wXBvXYMn8tqFwitaZwEvBlrH1fX2pcXBMTvjew3/9CkNFBnubvMZy8IxPi7KCbtEIIIYQQQgghhBBCLMBkqf8sCjFDLUkIIYQQQgghhBBCCCE2iJ6kPQNwqMXEh8qVsT354qT/Pj2HvnDYnQ3zZR8CUQuFsSi2jGKiimjgFISLFfFU/WVoitOohfYEFJFyy4TyBPvl/YShWK0h/j7KqQj/p5CpLMQwDgktowj7w/k4LDILjeZQ+5piwofKcb61uvF5NdTbqrQWQFnmLKyztp+GMLQoFJWNBUVPwnm5bYtI4UrIa6ZZIO2AFRoCLkg/hXbBZ1OUkbQKvN8skfIKrhFMKPyaVQ9BoaIwVQAYX5gN8aNL+XA/2ssLOd6lvHzelevWX0+F3mCHlrfz5Ux3EA8FYdvdvbM/jbdN4HrKVx1dmn0u9AyF/iBSFvSXYe7ycdNq61a3bVAl+KRa2OZ1ClMt9Enu+irmLYPogrqOobWRtiScH3E2FfVDFpLMLiyaK27Plg+GecPefne+XIRgu7wHlC/rD4o+LWp+0VjeeK6ya7USU53NCXhI4TY1CbatqXsawueLavJ9cqWvtGF/uyjHXz6+1Js25lh71khErOtaq84r3R+CMb9bN2qcsdYjmnsND/LlMS0P3Lg4oDEzHQTfawAkrxvi4lMUe9a1DDmjWAniz3UK5qDdotMq8Fz+BIb/r5Lo+AYrFARMGi6oUCUHYODUOJNDUqdwX7PKLzNnjJQM4w0+Satzc7bQk7RCCCGEEEIIIYQQQgixQXSTVgghhBBCCCGEEEIIITaIdAcnjPdE2qzpifUBh2YOKdTWh2ms8u2d9Ai+f7Pk+JBjKeK8wkiZhhB/Du1pyneFZG+9X0bJUN1Rw36KcDgXTtqkFuAQ6oZwWQ5p5bC6KAyydnz+GBq3zc5XJYwzWyzeGB1vG5aB8sq2re2Hz1+wbpHs86YwulIPEOeVrbuEPsQ4BNGXiwu1RRuP+stRhIAW7cBdE1GI5DzCt1oXnWd/NqRcSENWGMyWJ9uxGqE4vqjvJHy7SNQuWG8Q6gOo7U76XzhclpfyLSwYQT97cDlfHu257bZpZe7DCtVAMIZyn1ZJvy5U5hphaGpxLW4mjNW2XHh2Y51erzJHYYihcqEWvsj9g29+PN8LwvTHtO5dD8qz3b4rvzj33jL7PNynfDmUO1DStIwTTFWPEhApd4oWwXNFHvdd3bEKwVjdExx7VbXkV6joG8qD8KHqcZh7pGTgc8l5+XGF++TEZfTrcl9SGX+z46spF1xetXEv1B3wqrzfoBhbV0k1wvOnQC9U++7iq2rAOiE+1W6/5W5YFRPoD4r5OLUDl3uhaKnpD8IvRTHZ2tUOYbY2qwN4Gr3MOBEpDmq6nZappR9jxtQPHY7yBjceH191OBmz5kNEtGgohIjQk7RCCCGEEEIIIYQQQgixQfQkrRBCCCGEEEIIIYQQjSRgsy8O29iexTrQk7RCCCGEEEIIIYQQQgixQfQk7QllQi6dwSa8aezHYp8eOW+8Z3ZCntnCx+aX2cs1CdblcrVIyCoUTqwFqzzSK62ahZtFzR/KXjWXXt2n16YVnjFadZm66W+qpWyrcMi5bVv9vMdfldxuQVqlHMc3a83ZDx374DBfHnp/IG1b+EO91mqJc1e0g4pbcOi9fiTxmpAj1IL+oXDHDsm15X17LAtjR57frlYZ7J9z6w+ocfKxD7w3l12CDU48rvPhAe2XvGOWnfvYLT12ha56InnZrV84aNmpGVx87NyNXNkHN+ZJo4uU145zGG4FHQCANOBz4j83+GspvepWbbr+jj9QrNRBu2AfUfP0RYMQl6maV7BtC5FztpZ36B2slSnab21SY/1ydt50RJuOnKOWSzjka2QUO13zNDp/wbq1vqVwoPo03tTVzYA8sjVyN2mlv8ictHGfVdaFnzdX9jO/qN2qFYdr5PVkD3rUzzY13eJccnsM+tnKuwGycZKdupX9ZuWiequNdZmfl9Yd0jzM7vLlCjz785Z9uSpjTnZNFP05rRs5amtzEdfQ6w7afDEaN7ifZd9ty7ZhIYrDCUTB6/yO11Bk76G9ur+Tpx0Ggn/eD7chYnQwmxzWxj0hxOLoJq0QQgghhBBCCCGEEM1Y8ZDd9d6/ODtIdyCbAezxAAAgAElEQVSEEEIIIYQQQgghhBAbRE/SniASZqEDLWF3/F8bH041GuchDqwS4DC7XHcQr8uhFj7vUG8A5OFJkc4AlZCpxlD142ech+gU/5sKytj6T7S1mSyK0Mbjh0VyiGGWVSW0zId1FWHtRdhTf5Gq7SA8t/1lKrat6AGK3fjj47QoiotD42qRwr4cFH5ZnFofecXr0nKmN/j/2XvzcMmWssz3jZx27l27hnMOB1C7Gby24nivItptO4CojyMKLVfUFkRp9V4QaejbdAso4vV5tEFFtLvxOoBIt8PFxr4yiDKrdDuggBONAgeFZjqcU1Wnhr135sq4f2RW5Rdv5PpiR2buqer9PU89lWuvtSJixYoVEblyfb+FVH/AoYzd3XTbSW9+xM0wXccheFk0nDmeLKydw+6ozEkoO2tXQnvb7YzSbSeUUYfD+ZxfoSOrEVq3RBZS6Ybwcj2N+AJrD0/MKtltF1SGMQg69+Z4u3tpxpe3aFwxi9m1xu3eW2a9gbctHevemXS5fzldHvXnn8eblE8/3dYqDPLjKYRX2vUlNYIXblozMNQ+PFGzfaJgWJ/ewO37M2WBn2+oKWO2c93m7WVYfiCv2TUL93U1Ctw/tI+/HE6eGZA20+UrHz//PPwIXST3tBZpmq+jMOiM+aJp1xBk3WGmSzHJlB5JMZXB9ZaV14l8jhz27WhyWCeUK5CceVm2ztH+EKW5h0fIXBYVKhWvTKXzk+3bPi5m5y8xCYT2dYuytdcIl5GVDI7+IFcUtC/zvIv3bTaoGKZdxJK6zBxwleoBab1mcyVuB0la/jwl00XZtDzNAGcDumZWUMVk81dab+sx0xNyWtZGUVAP1agNvSrncaHbSzvPbre9Ex4V1AiinQigOcLnHw/qdoI4GvQkrRBCCCGEEEIIIYQQQhwhukkrhBBCCCGEEEIIIYQQR4h0B0IIIYQQQgghhBBCLMHRvjhM3EjoJu0xo5lMH24OmViyfR/20lxLY7rSzy9zxzrk7h/ewK7McnIS8xKqpMJxWsVhiV4q8/FOX6Y2Ci2f97PvxFnH+zq+uXxjZ13BFZusLx1PQZGcrKP4AtdR67luF+zrkXmArVuV/KFZ9+Bsy34zr41xGXq7mSTv+sdmN63E0al0mf2A0Yw2mRu22X/Db/r+yU780HR+uG4yTJlXckX3/M7SuhUzNx3tG8btBQlNesIm/TSxyWC+XOrq2VnrOQI9v16Ney/bt7AtnKGNnZpjOuDJwDjk+oVjtWll65xtaX2Vg5bTKg2D7vqCNzcpQ6mMXofB23pl4n2ddp05aQtJVdTbKu7YJJ3K7d1c3fnd/h20WbLt3fds2dYb9ck0GHBbttfMzn3YAZp2Ap2LVLCx3TZdxZ7Wjjn+Cdr7UQDojtLlJvFvUiU7fc2k69d5pu50HPfZxs6cIGaCcnKe2mrNvLlUZqqbZJ2vKnapejcAb8rHY8519moKHrvpIknffeDXRTJVzOa2/gHYMmdlZE991p8vTmdhWo77NjuXB3UPyHHaA9TkaspQcNBmfVpyPfnvApjQ9dSxPvlCPslS9g4WdnSzy7j9Oyxv23X67JKD1uvvu9ROJqZz6XbSiun2qO/stHdETeMHWdsxSbcjhTg4dJNWCCGEEEIIIYQQQohKIgImR/riMN02v5GQk1YIIYQQQgghhBBCCCGOkJv2SdoQwh0A7t+y+sMxxvsu2OcLADwTwD8GMATwtwB+EcBPxxid4KJ9lglAvzdNhkMgrOPE1RsAiBO7LYV8UhhDpiyoCV3i8BAbYpSl48Xz+b/88OpkkcNJsxgiN+kbmrzeTBgQhV5xPfL6JPKxVKdmV1dRAPg/E9W0zUKYVoanfigtO0XKIoetJoIVBRR6z6GbdntWFmRpOeGWHQqX53ysloDDRTu0bNtUd88PGZ9Q2H6sUAlkaVVsa+lQqGkpnD45X1nb5ZBem04h7JFDNY1aoBOoT+bzZa5NDuuMvTSseLKRpuWpIfgcNLTvaGu+b9Zm+u3L9boDJ1Td0RBkdUzbjnvtjSzXKDgh/wVlQR7i2n48rt6Aty8+ELF/DUG2ukar4KRb1BtUKA28dIsh/nbMKYWP+inV5VuT1pL7rWRpcuYAAM3hIvfnNHfkPs5cFxP6KtEM006g2UnL0XXGxez6siHxHMbOIfGkbEn6c+53eOrozUVcv0GalqeKypLldYULKjmfWZloW+qH7diRzfuzgjllqJnbFzZ1j4fDzZ1vq4GVINym7PlhvUHX79S8fBme89h9+XywUsOu5zx5OdfztHw+TDy92gr7cnsL2SDU3qdl/Z2jP1hnX+8pDKrUPYW0vPG1s7Hn5sv1ahUN/X56AbH+IIQK/50QYmlu2pu0My4AeP6Cv1/iP4QQvh7AbwDYAfBrAO4C8HUAfhLAPwXw6IMrphBCCCGEEEIIIYQ4bjR6cZhYEzf7TdrzMcZnlzYKIZwB8HMAGgAPjTH+yezvzwLwegDfGEJ4TIzxVw+ysEIIIYQQQgghhBBCiBuPm/0m7X75RgC3A3jJtRu0ABBj3AkhPBPA6wD8HwBWukkbQryuO5hQWFcznsfCZFHgtO3E0R1kcMjXCvumMSrtqwAANh8vlhnIw1lgw1kKZVol5KZmVxsNskoZ1vrK6BXycfQBWYge72rrYpUfFGsVBhVpOS82dd/QWyKLXjZRQ6wOYIVBl0NCRyYknrUDHNo9NNcT9ep8vjjMqbdj8iEFQxYCa8LnszdgUz75G5fRjqOJAFgtQLuyusMsNk7I5/QPjg4gC51tz6fUVfLxNKbueN8Oh0E2XrhbupjVhd20YIa5eiupEobt2Y5p3WRgPnNoJusPunwxOtuyasBSox3g7YuKk3YdQE0+oaBKyEjW73/fGh3AKvvW6g1qlAbufhUhosUiLqlgKFGsmyXht4yXt3fmR7ytXchMUXQuWX9gDjhO0vDY8am0Ewjjdk0Bj4P5GGTLkK6aUH/BJyEJ8S9NZ715S9YHUD52fMqGGL4mFn/mdBaWsUK9xASTWU0zz5QZNWXk8lbNjfevfsjK5H2zLenVuI0Zlc94s1KF4GTVkDLIzttYhdVsUZmyMdaqzCgjbwxaYa6bUTNPruzf020rGm9BmxO8dTwvc8a2Ut/fMQ3fS2c/6z163Xk/3OX+utDurTZxOBg5W6bbujqGm5AYy3V90PmLG4eb/SbtRgjhnwO4H4DLAN4B4M0L/LJfOvv/txek8WYAVwB8QQhhI8a4u2AbIYQQQgghhBBCCCGEWMjNfpP2vgB+mf723hDC42OMbzJ/+5TZ/+/iBGKM4xDCewF8OoBPBPDXXoYhhLe2rHrQ/ooshBBCCCGEEEIIIYS4kbiZb9K+CMDvAfhLAPdgeoP1SQC+C8CrQwj/JMb49tm2Z2f/X2hJ69rfzx1QWYUQQgghhBBCCCHEMWOSOUeEWI6b9iZtjPGH6E9/AeB7QgiXADwNwLMBPHKfyV0TkBRtIDHGBy9MIIS3RoTPaZrpxd2Q/9B6adgVW3THuuVx0ioeTSYxm8P+Rs63afdjFf2OXrlqE0v2pWXHg1mVziqisZqsVnHRZG5LWrbut6L8zGxa67xy3Lc1pzarci+tkh7Lq5uSS9UsB5Ko8HKH3KPWFdvdTdc1G+SbMn6zieNoXZiv9Z/lQj3sl6pmXOGg5bQ5H7etEqGh/m4jXd8ZW89Yum2H6s3mWzp23tfW86RPZco8uvbgyRFM5zpr9zafQrtoNtPlsV2mdBuqN9v+2Ik86VGZ+fzYeiw4XFPfYeHC9ZYL+9bkk10ijs+2KFFf1h1b4Wwt7ete8oWxrOT1c8tUsW1WrSt4Zr0yruLbW8Vv61Ge75lrvuTfdAR2WT7ZuTVzONp0fFtq/do5nV70vbvnnUT/Yrpz5qg1esSsHyV4LMg84snK9uXiHJTzdeYTXDm2jCVve96fO4UokIxXS+4H5GXMqCiX55WtmU94r8cA/Pk7+4V5fBqdmn+27nUAaGiZxz7Pz+uVqbvnpLOAJC2eD2X5euMTjdU1Y2heqvZ8Snje5sIYYz3wNb5XTqdLL67w8uV0u4H3bU+nxlHbqbhyJ3RAPO3yxoYOreP7EYVuWAixJnS7P+eFs/+/2Pzt2pOyZ7GYM7SdEEIIIYQQQgghhBDHlhDCbSGEJ4QQXh5C+NsQwtUQwoUQwu+HEL4zBH59JxBC2A4h/HAI4a9DCDshhPMhhNeFEL66kNfjQgh/FEK4NMvjjSGErz24ozt56CZtzkdm/5vfT/E/Zv9/Mm8cQugBeCCAMYD3HGzRhBBCCCGEEEIIIcRxICKgOcJ/sfqx9YxHA/g5AJ8P4A8BPB/AbwD4DAA/D+DXgwmjCSGcA/DfADwT04esfxbAywB8JoBXhhCevCiTEMLzALwYwMfN8nvpbJ/fCiE8adWDuFG4aXUHDv9k9r+94fp6AN8K4CsB/Apt/8UAtgC8OcZIgVqVxDysYD9weMRk0h6HGylUKXJ+VboDLoj5zGGrznHlITUU/tFU1IkbnkPrSmFbfAweXhiao1GYrl8yHyDpkKusCrxxP13kfCYmn+yXHa5Hr84LJHoAL9Rv0XpvW0dDUEuyb6GMtm5KYfmTbntYZORwKtIfTHrzfTkEj9Ptcci8Wd0dg2jPJyt/j0620+5Z7dChfDntpC4KYftVuo0JL5rracKNiLbttq/j9pVdIrG9Hl3ogDy9AeeTJUX1yO0mURpwf9BvX47dgt6A17shoc454EMr9dduu2jPx9UZLCqH2+eV1An7DxFdTX/grdy/OqBkQ6nTLMS2VQvy9crol8lTGJTVCKvoD9rXOdaBlcrgXf/TfNvXc/eXp+2cr2G685iu+cZcq7GbdiaD844eYIcyKtl57HXMc1/vfPBYzZMeZ35RUi0ly1msdjbx2j+l+ZF3vE698bieWTCojDy2u/nYdfyHFe418NhWox3g5WRuwvuyGmGYLk/6dtJD+3I9Nvazf/CZGsJRBvF4nJSjNHZ5/X1xX7tfxbhH+YRMO0D70vHa/j1TB6xpW96eNQTdjrNthd6A067p+7uFL/AdPgmmXeyO0ltDDV0UE/N9/mCkPuIIeReARwB4ZYzzO0YhhO8H8EcA/hmAR2F64xaYqkE/A8B/AfBNMcbxbPvbZ9s/L4Tw6hjj35i0vgBTrei7ATwkxnj37O/PBfDW2T6viDHecYDHeSK4KZ+kDSF8egjh1gV/vz+An5ktvtSsehmAOwE8JoTwuWb7IYD/e7b4Hw+ouEIIIYQQQgghhBDiGDKJ4cj+rUqM8fUxxt+yN2hnf/8Q5jrQh5pVj5r9/wPXbtDOtv8ogB/H9BGw76Fsri3/yLUbtLN97gDw7wFsAHj8akdyY3BT3qTF9HHu/xlCeHUI4T+EEH4shPAyAO8E8EkAXgXgedc2jjFeBPAvMHVvvzGE8PMhhH8H4G2YPnn7MgC/dtgHIYQQQgghhBBCCCHEAXDtNZ42vuC+s/8X6T6v/e3h9Pcvnf3/2wv2eTVtc1Nzs+oO3gDgUwB8NqY3WU8BOA/g9wH8MoBfjvTa2xjjb4YQvgTAMzB93HsI4G8BPBXAC3h7IYQQQgghhBBCCCEOmAeFEN66aEWM8cHLJDh7/9JjZ4v25uqdmHplHwjgr2i3T7xWHpPOKQCfAOBSjPGDC7K6pkXI3gF1M3JT3qSNMb4JwJuW2O8PALhvq1uJENHrTp8wbybtEiz2jGV3h836ZpSmE2k57FE+9gF3dij1yKXDrqPefGf2BLEjKngeRvbXesvk6Mme9jdlzDykXAYvUiBzPzob13rrVvEAmx0y96NTxsxpxbtusBfYLIzSbfn8JPVcir7gjDvt67KkYstnLgN8hxeTtRNH25xpuJx8kzpcAHs+d8/MU+/10wIPLpG3ajRf7l1N08mca6yiGptrxPHJAUDXWLcnffaj8rWYrreuutL54DLa/iNr557z2Tl300K1L3MZGzre6DlpybGbOdfMYtGb62k9s/bGB9y+79V7pduOT6Xrk/bIjl3y11rvXeYT5nHCOyeeg5bXl85tyR1rV3n7Fp2zns92/57c4vY15c82WI/TtdrJ6tSF552tdd96bsGsSAfks12J1aMUF1LyynrPFtT4bENgb6S/rxlyMBmkHcb4VNop9838YuT1UQC65Kzt7jmFcHyvtafDVmPJSdux84BsTlDo/L3zyWOo46j1xlcg7cMn9C0xFr41hvE8rU5hzpMmvML6Qh+dOlsL2RTeHWCZlOYiNl/6/pSdA1Ovk42KMRPpPIDzyec4ZqwuOWh5X3dcdMaYgkc298xOnHUFh6uzbzfz20azruCKRXuZOV3XX1tM1z++/a4rwaHxdv7eGaTpjpq0oU/ivOM9oKHrRDMpdTInkx/F1D37qhjja8zfX4FppPmzQwjfHGNsACCEcBumDzECwEYIYTPGeBXA2dnfLrTkc+3v59Za+hPKTXmTVgghhBBCCCGEEEKIG4B3LvvE7CJCCE/G9EVf7wTwbbT6BwB8BaYa0U8NIbwOwBaArwdwD4Ars+Wan+wAvZMOwM3rpBVCCCGEEEIIIYQQYmkigAnCkf1b953NEMITAfwUpiqDh8UY70qOd/pCsYcAeAGm6tD/E9MbtK8A8GUANgFciDFei2u59qTsWSym9KTtTYWepD1GBACdWchFw+GlRn/AYQqRlhPFwZX0FGfhsU17sEIWpsqhqLS+0zVhJrQuNu1ljqwzqImf8OJ+OK0sDIjjmUkNYctcCnFN8izFGDph4lld7D9kN9uX491suFuhzrNwdHM+JxRDxCHySegfhxRWhGMzXvhelk4pG2uYqPypym7PCoMOhbnbKKgskLEQVmfXTwahdR2Q6g96O+nRTnr+BcXaAi8fd1tqF9mpbreUZMtse6k6R97hFtqFPYRJ19EbcJmysHVa9tp9hd6grPVov+ZHp9OM9miK1GzQrtxf2nUc5mlDKAvqCldpUNAdREd34CoLFmzvr3PCOnlXJx9v3XS9l/DyYfv5tiuks8K+dtcaDQGX1wsfLe3LeCGipTJyaOpxp6Qd4LmjpUaVkKsRuMOmjsroUkZnUn/SZJy6VMZmHlbqS2KXG475uJuuykK5bTrtq6brPV0SzQn4FEycdaX5uTvnyQqSLkZvnTPecpkiL/NYYMP2a9Q9tboDp2l7x1PcluvGqh9Ir5E1cy5jcr54PkEb2/E208X5leOudcacrAr5JGT1VqMwMP2Dp01A3u92OnZfP/yf97XaAi9dTqubKVvSIntKg5KiwI4bNToDXr9O3Y6X1oQucq6b/aYjTjYhhKcA+EkAfwHg4THGjyzaLsb4UQDfN/tn938Ypj3FH5ttL4cQPgDgE0IIH7fAS/uPZv+/az1HcbLRk7RCCCGEEEIIIYQQQtykhBCejukN2rdh+gTtwhu0Bf7F7P//RH9//ez/r1ywz1fRNjc1ukkrhBBCCCGEEEIIIUQ1AU08un/reJVbCOFZmL4o7K2YPkF7p7NtJ4SwveDvTwDwzZje5OWbtC+c/f+MEMItZp8HAHgigF0AL1rhEG4YpDs4ToR5SMUexRBNTNxQpjcYU5i+0R1k4XubadiC9wLfTj+N2yqFrCT7crgObRtNPHOThenTIofRJOlSkbiMRsHQHVA4C4WvTEh3MNmbn4M45oxosaJf5DcqJ+qB7E3ohXBZG2ZM9ZipLJL17WHR08X2MLs89Kr9/HEoWRaOTXAoXbKv007yMEE3G4rDTVfxG3uzU2CUBqV8zEtQsxD+7O3Sjv5gkkaEZg3fagi6u4Uwb8f9wDoDrgvvTcdMpgdIFCd++3PTrfhpMdN2FK5TW+YaHUWWb6menLBVN3qsqDug82dG+F16V2ozTJf5jdJuiGWFhiD7Kdjp00rhzEk/W9IZVOgO1qosqAinrxk3SmmlK5fft6ZIB6UwqK0nN/S00LnUnIOTFtpZNC85dcOqhEyNYNUwfInQwDhx3AKTQbrteMBlsq+u9+eKHRonbf+XaQiyMbU93QxnbOAidniOYNcXVAJcbZ7uoNKytX9KY6azfsIKHUcPkJ2fwvG5x1MzH+f5HykNbJmz+Q+3P9Jd2YI0PLdnJVyvXReXXz4r9EMVdZP1w0vqhkr9uadKyNQBtG2mIei075upEZx8OF1PU8BjjLtthd6gZl227QpthJV2qyiCxMkihPA4AM/B9EVfvwfgyQu0SXfEGF88+7wF4MMhhN8F8Lezv30RgM8D8G4Aj4wxJqNtjPEtIYSfAPBUAO8IIbwMUwnSNwG4FcD3xhjvWPOhnUh0k1YIIYQQQgghhBBCiEpiBCa1LzpZc/4r8sDZ/10AT2nZ5k0AXjz7vAvgVwF8IYAvn/3t3QB+EMBPxBgvLS5nfFoI4R0AngTguzD9yfJPATw3xviKFY/hhkE3aYUQQgghhBBCCCGEuMmIMT4bwLMrth8B+M4l8/olAL+0zL43C3LSCiGEEEIIIYQQQgghxBGiJ2mPEQFzj0yXvDuZ6sjuxz4f6zMit1F/KxVxdbrtEtDhIN2Wy7SzlzafPbPMntwqPQ77itjl1DeuI3YBsa/I+M56PfLxUrbsOrJ1HnvkaOU6N8sTxxE8/QMfoON5Yi8kO8qMN4m1MZEcu9gxy7wx+14r8NyVmUes4JTzfFmR24G3Hy9zM3ectHw8nd10g97I+F93aF/ymTXGyeb52IAFDjZT5i752hp2vRlXWjNkN3F7ukDq2O007JJm961Z5/nyFqy3zbEZtDuPF+3runALntZk00I7sfmyQ9grQ6371tV4safQ+lGz64l2pRF999b552aYbjwh9yNfX4kDuuAJh3Uy1nq1K/yv6bLf9+f5LOfTY4p+vQpX7Co+N1fJuEq67rH7+9a467x6LLkEcwfg/sqwKK1lOa5+2onpMLpURt8rm67rUh2zv3aC/ecTnE654Y42e5/BPK1svjei4+FsorOOae8ecmhCnoxXXCTqk+14nLs5KR8eC2wZ+XgKx1fjpE3eQVBwtvLxWS9rNgegeYs9hs4eFYLHnIUlbVnpbVw4Hi7jeMvsykMMza3G23SN9OcHGGm8DT1+R4b5XpM5adfn1bbw/KE0DtaMDf542+5s5fX8vbOTuWLTtK1LlvslzztbKpPnnc22XcFJy6zilq3Kx3HsTvgEmvneKl79GxUeS4VYFj1JK4QQQgghhBBCCCGEEEeInqQVQgghhBBCCCGEEKKSiAVPHh9y/uLGQTdpjxExAs0sPigLPTNaAg7LZ/bM+sEgjcs6t3U1WeZ8Lu1QrI+hR2Em28M0Psm+wm93Z5Csy/UH7aG0eYhre+iPq3oAsLExP/5SmElDIf9ePZdCbixXr1BdXEkvu7Br6oarqc/5tNdFh3UOtNw0Jq4rNVnkIeNNTWxc+6os6mOVV09mabWv84wSvC8fa2D1A58TG7a/SflQyKEN4eNwvg4rDNJmkubLigIOg/RiInhbCu+DWeZrwAvj53UctZrVm6eYKOkqPLhurJagpEJwQlM5DDLTO5i0YiHU1NMUFFUPnu6Ayj/epuUto2GhcEv0fC1BNO2zs+sH3UQnVJPDl/Nzu/8446TvL2kUeGwIdl+0riuVI+uDnfW1ofUHFTpYE2Lph7Su73i8EFdPZ1Dc95B0B4dFbXhscEItM92Bs5+nRphub7fNEksXWZvj6ZVYlWC2DTxvoW6J++ykGKVry67nMaXQPdi+krU43nJRRUTrk66SxyNOa4VmPrH6Gq5jnqcQ0dk3G0NNmTONAs9TuP1ZVcIurXOOncu/e45CuzdoHLTjZDbHoYz6PAE0/RKNi7xs1WXZd481anK8PoBxx4KKfUuKILc/Z90BKwvoouk6c4QufW/zQvyL+oMa3UHFrbN1aXTGdLGNaYLuheSXjufqeH5x1rQnIUQd0h0IIYQQQgghhBBCCCHEEaInaYUQQgghhBBCCCGEqCYc8YvD9GTzjYSepBVCCCGEEEIIIYQQQogjRE/SHiMmMeDq7tT10pA/5vTWzvzzIBUw1fiJ2C2TuW+35s6euy9vJesG3VR6Neily7ecmvtudzZSedj5i2lazVXT9Eq/Ojn+ysw51E2dQ31TxpLrpzNhJ1u7aJI9SdZ1xP6hPtXTlUEqxRp9cF433ctpGcanKeOGzp/53Buk+QTyL8WNedqJnxaLnJkF+aWF/VmeBy5zw1ak6/ykFPaoHdNy5mszHtrMU1rw0XV3zLpU+Zx5Zm2+mW+ukO/E6qEdd2q2nquNrx+uR2ffmh9lS8djz9+k275uIbHlM3I3X+J7Zaef58kFOWm9OuZlLj/XI5XDXppchkj57p0x6wpOPPbpWQ9tZAetd90idUFG8ufFIZ3coelnu9zQ4ZL46Rw3HW9bdNIW3LF+Pu3+WsYbV7x0V+W4+2uBdCysqceSD9ArR3Gcv8FfreEd/4TdsKbz6bKTOrZvy9uXtu3E9utgwv577rNNd8K++Eh9WOyny43T6DqOl7+Xvrohc+Fm45fbubTvy2MzaD7hNtWCXz2rR29e5swR+Fib9tdWAFhQrzYbZ07A42CH68KjMMexvn8eX5ttmicP6D0Q5t0O7Fv3vLK8PvN8Ou+18Byti5Y9PGcorzsoX3etk9bCzlnelz2zyXexghvW3XYFz6x3PKs4Z0v72n736l76He/8TvoCjabZ/zN6XrsYe35xIcRK6CatEEIIIYQQQgghhBBLMHHf5CzE/lFLEkIIIYQQQgghhBBCiCNET9IeIwLmYQU9VguY5c1+Gk/Uo3AQG/IwoTigvSaNXWKFQc+EfzSbO8m6KxQ+0aOw1mFvXq5BN41V6p5NwyXunGzPy7jLsWP7J7B2oOuEvlB4SkO/do2pbsYmHIRDavpZHLUpE0V/9CkGnkNWbMRR5KrIQsg5pndexnGfzu2QzkF/ntiE1AhxlNZFyOLCK0J0an768dLlUEYKLbMV16HQnd4lCpwTIzkAACAASURBVOPiSG9jDOmlzTwPycsUDfOPHBKfhdLZMDs6t/xjK6sSPBNEpqdw2hCXKVc/zD9PUhOHW+asnriMtD7RlFTu663LIrGcsE6ucz5/E9PFcb1lP447WoVSGW2z5zreud1RFhQUIKw0sOGZHKrpx9ICMP1FFora47BO089yGYu6A1NGf1PSEJRC4NNlL5zeS6tWd+ClVQq1t3nVdLnrxDve2lBNty4qNBGlUNNVwnRXCT+toeZlIgdVpsAaArTPFTP1CO0bk3lmSkmd0DWNOwvHzvQvZltHhbCgyOnYxmMzhe13zZxgskf5cP/tTVlL3ay9xnlMKSl2rCaH9s3GHCeprHVxnZvj43yyecvYWV8Yf5M5QY3egNLmc5nNW8zy6Ey7qgcAOn36DtGfr+/RuOd93wDSsbA0TiyrhqlllZcarWtMWkV9k9Uxrw/LKQxKY0wprf2uW2XbGrg/53M3pu9Mth92uiwApOo40pdkHT8iVrvG1pG/uHHQk7RCCCGEEEIIIYQQQghxhOgmrRBCCCGEEEIIIYQQQhwh0h0cI0KIGA6mMT+3bF5J1m0ZlUCv48cKJ7oDfusuvU6WVQk2PKc3bNcZAMDV0aB1+fRGGkM+ZEWDCbffG3HcVrrYpdD8wWAeF1UKcxyN53FOzSTNZzRKY6L2rqY6h0QtwFoFp0zMeJzmM7pzmCz3L87L1Qz9cOY8LM2+Jdn/zcWGZk020vI3/NZkjiM07WiV6JyaKJAsdDGrC3M8/XRlk77IFJ09aveXzWd6kzO/zZjD3kenzOfTtC035di+juNSWHfghf9x3dhQTs5nzHVB6Sah+qXwRKs7KIX4O9oIrtMsbLWUlrNvkiW/mZp1Dqw7cOqR68bWI+dT0jnYpLlMzWb726bza4DfLu3oDngdn2snTLdLIaC9HoWIOmGdjK8W8MuY5FmZj6caKIVfrpLvKmkdBjxHqCnTOo81DfctbHtEb8/2KIU4Lpv2OsvEaU2Scb1dZzDdgNI2n0t6g1yH0K5HaWjeGXfmnR6nk2lkGhrnWVvgkIT4U39eeoG57e+575+wYqffvi13Udk4aLrd7Nh5W1YyeM3IcSNwM7BaCKAw5+F8KsqQzT0c9dKEp+6DNKPx2XnFBZq7d2ku3OvT3N6Mdf1eux4O8EPxV+rTjiiIOVOg2HVrDOmuOXauRz4HyyoMiuNTje7gqILOzSlhzV6X+tms3232f66Do0YQ/nUjRA16klYIIYQQQgghhBBCCCGOED1JK4QQQgghhBBCCCFEJTGGo31xmF7kBgAIIXwWgG8B8KkATsUYv2z29wcA+DwAvxtjvPvICrhPdJNWCCGEEEIIIYQQQghx4gghPAfA92NuC7BWjg6AXwHwFAA/fchFq0Y3aY8Rvc4Et21NZZlnBqn4ybpjS7/STIxgb0xCLF7udck1aPw+PTKAsb920E2dN5f2NlrL1KV9h4O5o3a8m8qm2H94ZjuVhlr/GXsUL++mgsedvbmsaryX5sP+MleYSlKy5mp66Vy5NM8nkGO3ezldHlwlv4/1mVGZRj3yxG2kdRN68wpgT2632+5qmvDxdNn7hBRb0Zm7jrdFO6y5c6o8c6yNaePxvF7ZOcvbDs6nu/aNk5adoOyZbahZj7eMZ4zLRJ6nZKnyF87EwcY+QBLVNBumHey2ty8gd9Lay5wdrZkXzrS37OSxX4+ctS6FqrHlyNS+7N4zaY1T/TOaTTo/jvBncooOgM5f99J859wtSNcIlXF32/Tn5GAEX+OmTWVeO25+fB132t2PTENO68b0lxubqVN80E8bUdcrY4HURVrYtsJnW7Ptsnku3P4YWto8RxpfPozv8j0Y/2utH7Bm34PioPJdpT1N6IKqecKHu7Ss+/CmS7TMzloL+60nW2lf03Tmg1K8lA5QnCrXVeyG1o3Z/299r73CgMTjZMe8goGrOPOlOt+62EufzYGsE54PvsbjzmTzvfZ8sibkzU3Yx+uM1ZmPl/N13L6TjXTjyS1pG+oP58v8/gj2zPL3GvsdqU/r+HuN50ctcRz95DXrD8pRW3LBrsszW+NM99I5UkwxuB1v9NJ2z+8hscfA6yb0hcOO+3puUxwnQgiPAfBMAK8B8HQA3wTg31xbH2N8TwjhTwA8ArpJK4QQQgghhBBCCCHEjclR6g4EngzgbwF8fYxxL4TwyAXb/DWAhx5qqZZELw4TQgghhBBCCCGEEEKcND4TwGtijHvONv8TwH0OqTwroSdpjxGdEDHsTkMSBllMst0uXZ5QHFASlkG34bf7abvlMA1WGiTbdv2Qjm1SNFiGFGpxZnMeHzamMFsWX3PYhg05aigM4zIVIU7aw904n0ChSsm+FP4RadnGgCUh4QCaU2m6k0G6b8+ETXM4NusPMkUDLxusUqIE6w8mfE5MPnzsoSbuMQuVaw/f5mMHaySuzpeHH0637V9Jd904n+bT3ZsvX7l3mu5oO903OyemWiNfE94PqHSsWVgkp2XquUOnMtM5XGxv54FCKHuXadmEanIo5niLl+f5cBgnwxqJpGth7QWrEZzwS1Y9ZPkaPUWzRddenzsBWjTqgcDngxbHPeuJKCgmdtJCTwYmMdIddPppZXi6A9YDBIpJ7po+jfctvWCguznfl/UGGxQi2u3sP7aWx5ywZMhhKdT+pIWaHibLPumxznpaSXdwEkJP10Tt8dhzy/XE2gurQ+A2UVoOds7D7anUvEx/cXoznbRd5LTMcrNLYbe7/mCQ9PeFcHq73JAmJ9Mb0Ne/ntf98eH02s9nNrbxXGuy+PM0YcrWazYV2/JUNzseXvY0Tc6x83yPy8Rjtx1D49l0gjTcTk/QKdPG+LvIoJsus7LALnuh9ftZ3u+6g2QVZUGVLmWFpwlr6q2mzrO0zPksqxGWn+OsQl09zjsQ/i7Pqo6NHqsQzdyK1VdUhJ5JaxXl0Y2KnqQ9UgLyOw/MfQDsFLY5FuhJWiGEEEIIIYQQQgghxEnjbwB8QdvKEEIXwBcC+MtDK9EK6CatEEIIIYQQQgghhBDipPHrAD4nhPC0lvX/FsAnAfjPh1ek5ZHuQAghhBBCCCGEEEKISiKOVncg+QSeD+DRAP5dCOF/x6xKQgjPA/BFAD4XwH8H8P8cWQkr0E3aY0QwTlrPacMdALtyrKOWvTSdTsm7M1/P+YwLMshBZ+6p4fJzWpu9uUPq1Ebqj7qyl8osOa0N45Aah7RMvW56vM1kvtyMyWfGdcFVY4tM22a+Srtp19ehsO91tDGXeLG7kmEXaTROtrjhDwx949bqFny1u3tp1zA2orFYkoI6TmQmOwdWrcoe4AGdW3MOdsdpeTcupMn2L6f7dkfzffuXyGd7MV22jlOGL1NvbM58qETvMrVl447ttuueZ2mbz54LFnmZeztOW2ZPnNFasbeP80U3XYy07OJ470oKLOsQnpDvlfTded3Y69rxJQML2q6zMTufE8kXO9Wo/+ga4SE3rw7589hRa12x7I0c07ltqF/a2pz3y+ygHZDXz3OZM+wwW8U/t9912bYrTGXZ67lKWgcFl/E4UFNPZT/gzeMbLpU/nw+2z+EybNIrNBm++ruFc92xmVFfsjVM54M7pg+7skODCDlpMz+q8ZaG7D0CaF0enyJ/N31T6vHcxBaj1BXaOQ6PkZlPnj3iZl2pWWeVMf/Ir7xw9bU0ZrJTlz32CdmA1e7d5wPiaWbm8r1l3k6GW+l89sxWqhs8Zd6XsdVLt/UctIDvLS15So9D3+M7aAtO5xoH7QGNOaVxo24scN65UnmuDmvcd+8F8FzETNB7nbRz6XfoxQ/0Tok98x2qof6tRz7bWzavXv9c8z4CIQ6aGOPVEMLDAPwUgG/F/JvoUzEdnV8K4EkxxvYXPx0jdJNWCCGEEEIIIYQQQoglOI4/kt9MxBgvAPj2EMJTATwEwG0ALgD4oxjjR4+0cJXoJq0QQgghhBBCCCGEEOJEEUJ4D4BXxxifGGO8C8BrjrpMq6CbtMeIAKA3C0ngMBMbljKmEBU/nMX/RacutKcQru2EPXA5BnEePnFmmIYmsbJgq5+Gv9l8OM/bty8lyx+9tO2UOIV1CDasv0vhvt4PZVxPXToeDmnb7c/jxJsBxb/tkaKBl0fzgjRX08v5Qm8zWd4+NQ/5GlD4CsPh2RNTN3Hst6lgihH42CnEmpUGNtyc90WH8rUh/n2OG3TCEWn18DyVsUt1TGUcn5p/boakwaDjm2zM17POoJs2e2zcnS73rtiE03UcYmiXx+lpz0I1R3RJRFOvJTWC1R0EviR4mdJydQ8cmempEpww1Wk+JmPKk1tu5L+M2sP/WHHS2ZhHy4SC1mNC/VS01yqHK1M+tj/k0DJWB7DuwPY1Y9IZjMdpJfO1OOjPj2/YT0NEOXRuFQ2BXc8hhOvSG9Ruf5ROscPmqI51XW2mOt9jqKdYhUwttexTPJ7uqZBvPl8t7GzLTOPEJvU1tt/qDtN+Z8wKK0orOlqqQPt2dudlLloieo4SqWIsiwX9WKaLMgUrtmKaaHZMtU6o/N5YzfOHrE4dNVGmN3DmE3ysE9IbWHUFAJzans9nz5Le4MxGumwVBwMau3o8llWNQfsP9e6uUX3Q1GgIXKVBeuyl6/YkPCG4bP++TjWFpyBcK06Rt3r0vZnKdH6PfGWG7Ps6KWluGRrdwTFQeghhuB3Tp2ZvCHSTVgghhBBCCCGEEEKISiLCEb847Pj/kHLA/CWA/+WoC7EuDujnHSGEEEIIIYQQQgghhDgwXgDg60IIn3XUBVkHepL2GBEBjCfTWKgr4/TVi5dH85D43SY9bfzWbvtmRg5/7VOY+5DedHrrxjyMgcOAhhx+7sDhHVmYjAn54jATDsX3wo9Yd8ChTIOz86fe95o07ox/7dqjerWhxRvdNNzjwk4aU74zmu/LIchdCvni9Zsb83NwdZie952rg2S5uZyu7+zM6zlQqPb4Srrt+d15GfkN8lnIWtP+axy3KYzoD2bfOKBt83jzhIl9WzO/jZmT2puv71+ibWlx9yyFNprT2b+SFmJ4d1o3/ctpYrtn5mnt3E5hntSjdi7YMqbrBhepnexRO7ERoV0/H3u8rGeY9Nu3BYDGnKPsrc8crVjzsx6fEqdNRdISZD9EmxBLXpdFW9kwyUK4Zd4ezR9o384wrZxub95OQilslXwIzdi2Me4v6G3Tpj8s9SXMyCgNdnfSi3FC2pINekO2DTtmvUGpj07W1egOVghzX2sY+wl7GGGdYaiH9RTIOs/lQb1FvSac+ajguZatO24XExq87bkuKQuytJw2lykYvDZVeDv41mDeD7GyJXKYPikMbB/NTEY8HzTLhdPebPC4YubctKqhMH2rC8jUAbxI9RZ4QF5chOm2XDdJGen8kFpgYquGxzZnbAZ8hQPPTRL1A20b6dyFAWvD5mltD3aTddukSBt2522Iw76zt94TqQJu+f6g1EfV9Lu9ii7aC7UvjRs1WoUaVgn/P6w+eZ1h/F3j9VhnnbIBztZr9r25m87v7kXqmD3zpWIyTBPma8ZSmoPedMQj1mXpdLwfwGsB/EEI4WcB/DGAD2FBzcQY33zIZatGN2mFEEIIIYQQQgghhBAnjTdiekM2AHgq/NvWXWfdsUA3aYUQQgghhBBCCCGEECeN5+AGep5YN2mFEEIIIYQQQgghhFiCI9Ud3OTEGJ991GVYJ7pJe4wYNV28/9JZAMDuOD011i3YJZ+o5zqasAOKNh2Qa9XzA5Y8canfiB02qYOoZ9Z3yGnVY9EY52M6QC4ju3MSR22hte+Qk5Z9t5ar5AxOnbTptuzsyXyOZj2vG/TT5Qt8PhtTDlZrkaPWut8i+155kc5JxzjLmlRthEiuX3u4mduW9WZUDuvY7e7Qul32s7Wnu3Nruszypo5Rlg0upOs2P5ZW5MZ5cjPfNb9mNu9K2wy7Yq16i7VOvBwp8CKycMqQuWNNPt1Ux5Y7W4mu0bnx3ILVYZnfNsmIFrmMRonK3jo+dnbkJV48KlPmwOubis2ctE4bmm5w/VN3kx20dN2atDsFryIzMb49dsEO+mm+PdPfNxN2MtLxsIvZ9Evc929upx6/W7evpOuNr5xd39w3un7RkmcW7WNOntbxd4QeB1Zx/tXobVf5MlLjka057wflpwXW7D1eEvZIdkJ6babnhDtLSmyF75Ku+zYrY7ujNptnOudvtEFu7wm7vsnP6/hRaXhCY+Yq7Pfn6Wyk8ak5ZZZpzsPbRuNW5cs0O3TqtN3WR9di7nhtH0M546RcBd86zxXrHJVWpk9udvqe0+2ny6c35+MXO2i3aBJk3ynRC+3z70V0Xd/6GscjUxUr9d9EU3E+uD9fl/s24yYex7O+cI0++W5o9yuzC5fvDYxNX8plHNO5td+VdUNSiINjfSOBEEIIIYQQQgghhBBCiGr0JK0QQgghhBBCCCGEEJVEHO3TxUcf63O0hBBev89NY4zx4QdamDWgm7THiCZ2cGlnAwAwbtKHnG0IUZ/CpzhEvmtCUbmz4DCGrR7Frtttsf8wNABp75D1UY7+gCObS/mYtPNQufYwmlK6rH6w7DRpnHfksGmTNocVM9m+5nwNHf0EAFzdTMuxa8L7IofoEcGGFVPoGIcFhixM3HykVRMO77Nhg77tANhLy9y/aHQHu7xxSmPC5/dupxC2M2m4G4fK7V3YuP55631pN9iha6+7R2F4O/Pl3k6a7iQL259XwKRP9cR6A29c53p0tAS9q+x+SBfHGxzyb9oFdwdOvru3pCtH/J7MTN9gwmM3nPBKAOhyp2CuLw6v7PGyE0qXhY+2VzrrDTj80moIeB3Tp7Q2N+bts0vXWpf6sJFpVDu71A9RPtxfDAfzE3r7mUvJug3qazLVilEcZHoDNwS0TlngqhKOaMq5rpD5I5usF8JJlw2xzOcTSyWzkCr9wQrtYl3n9iDVG17oMB971saSRb7W2vPJlAU0eHM+btsuVbGza43+gOvi2vx54bbUz/LyyIwrzS59Ndqh8zGmsdxOZ3n84XHQjFc8Pyq6iWrgJuTOz6kYIS78vGjfbK7opsv7tmvP+Lzf++w9yfLZwXxic6afTnI2SXfQN9dq6bqt6R+6FdtyuLlfhvaw9RJZH12z7yrBtYekMGjWqAc4KKrG/TWqLTy43vg77YXd4fXPu6T+4/sRe0ZxN2p44i/EkfLQwvqI6Sh2Iu5n6yatEEIIIYQQQgghhBBLwA9iicMjxsW/eoQQzgJ4CIAfA/AuAP/8MMu1LHLSCiGEEEIIIYQQQgghbghijBdijK8F8OUAvgTA0464SPtCN2mFEEIIIYQQQgghhBA3FDHGuwC8CsATjros+0G6g+NEBJrJ9DF59mVZzyw7Cwc98pg6qo3MO8bL5jH9zFtXcMcmy1wE11Gb/lZQ8ujWuOAOyndY4xyqCX3I3I8hlYSe3UrdWxfM591L5GPbpd9grFcopvmEwMvt7s7MQUbZWPctu0XZ3ck+29GZ+ecxrevsUVsdmmviXOogu/etF5PlrX66/uL23L/00cHZtIy7g2R5cA/5oRtzTBPyA26k2zbG/xq77R47IFd6Jc2GXYJOzz3aYPFbutgZ0fVkug/25E6cMnfSKkWPy5hWY5J27PltCI7nLrCTtuu0Xb70Cv2SbduTSbqy329vy/0Oe8GpjBWexWaSVsau8R9yOrdtX6F807qw5fKcs4Dvne11fEfeKv2su+8aPXc1/sDjQI3DsAQ7TmvGPjvWrcvnWqI2n4Pyw9a0mao6LXgVu46TMm8X7ee2NN/z5mHlOVw7fP6y+VLF6bVp9Wgc36C574Dc35f35oMQ99HMbn8+qO6QV3YP5AL3dLwFRys71JN1nUI7tvmyKpbzdcqYuXCJjhnbSk5aD96Xxyc7TrK3/T7bqYP2TD99ScFWb768TQ5aHq+867iTvS/jYFinv5uxLtnVxrm0LrwxaJV8VhnbeOp7WN53zxPOcN14Hl32D6/reMY0mWcH7XnjoAWAi2aZHbQ8J7UotJ8JSzv/15W/KHIRwP2OuhD7YambtCGEdRzc+RjjxfJmQgghhBBCCCGEEEIIsX9CCJsAvgbAR466LPth2Sdp78Dqb0b7IQDPWTENIYQQQgghhBBCCCEOnYjDe7q7Lf+bmRDCY1tW9QD8QwDfAuCTADzv0Aq1AqvoDt4B4G1L7BcAtFXiTU0I8XrID4cjJboDCmtaNnQRAHbGaRPYa+YhEhz+utUb0TKFGJmQwyxckRZtOMBO4zdDDsu1YXkc5rjOsFtbV+OJH/5hQ4lHkzTMhOvc68A5nyGF892ymYY32zD+j/VOJevuOb+ZJr47L1ezR3HtRMcJIe9SKGBsKFzHhMr0NtLy9/vptuN+mtbYlGsyJg3GDpV5OE/r1GbaFrcHHBqXtt1zG3NtxKlBuu8dzb2T5d6VNExoy9ocSB0w6YfW5YbWFXUH9nBLoadmOWterCEghYHVN3AZswhYs7ohncEkrSaMN1kFYQ5w0w89jaQasMfPuoMOh48m2hU+nti6KZCGm3rKGV7u0fXSJ7UAh9p6/dTVMVWkCbX9+HMXkjXDbnp95boUEypc6Cs5RNTrL2sUNKWwyFW0M/stw0mks8ZXBkyOKDTVCxGtOV8HpR2oZV1trObMZqoKnqdwaG1yvmoUBnxs+9+3qDdYE1mfRWXubFBdmPlUQ2MK99nA2GxL871BOvfwRq/syB2lTq1KIPlewH0wj22eMoj25WxZS5Ws67TPDQFgYuqO0+F97bz5vqdSvcF2L53Dne6nqq8N42nqh/2Pr91D0husk6bQY3TcFrk8rLA6rHRr+o9JWH6crBvbVmg3K6gSahiZfPh76J076ffDu69uJcs7e/Pv4dk9Bu4vEqXYzX5bUBwzXozF96qvXewTAC8F8MzDKtAqrHKT9uUxxqWehHXudAshhBBCCCGEEEIIIUSJx7f8fQLgbgB/EmP80CGWZyWWvUl7GcBecauD218IIYQQQgghhBBCiKMjHvHL1G7yB5tjjL901GVYJ0vdpI0xnl4l01X3v1EJYR7+0zjhEVmIlLOeQx6489hzVANZGFMhbH/bvH21Ri2wV9ADsALAhkj1yAvhvoU8i+T2j29szgGv4/CPxnkDdil0x26fhRFTGfkN7dtGd3CK3nz8Xgrvu3LB6A9YPzHmMqZ1bsPAe6Q72NhMVQJN0x7utjGgtzH30+Xd7jy0ezSiEEOuG6NK2Brw230Lod0mbPUfbp9P1k3ul9bF+++5b7IME161cZ5C4vcoLMicLn6rc6TX/bI+IGk2HP3PqgSbNF96tMw9y8goDjhdekFssn5C5R2n0VOYDKkuzszbSW+jXZEBAM0eFcSu5+Nx1Bzc38XCG7HtMrcZfuPt0LRdDuNkvQFft6weSLalfe11zXoD3tbr/0p9i6cwWEVZUAoR90JTa+iucXZaE9Ze89bnGri/qyEbr6r29cPrk20L8dndsP8w3BpNwTrVFsu2v3W2t5Xe/p0NBsnWnBrta/PxNQr5/K99fnRYL5jmMnN/ODSaoyujdMDK5gRmHMnUNr003dBpb3/ZmNOQXqhjP/PYxWm1ZpPpDfLl9rT52D0tAV+XHArNWK3EgOqN6/U+m5euf94mncGZXrq82U3nmVZbUHMNd0+AFoe//x2UzuC44o0rrH7w6qb83cvm6Y+SPAc6NFVCDabdfGRnO1l1YSfV343G7fcGOjyvdPQn3GcJcZTMIvXfFmN8h7PNZwL47BjjSw6vZMtxMN8uhBBCCCGEEEIIIYS4wZnEcGT/BF4M4BsK2zwCwIsOviiro5u0QgghhBBCCCGEEEKIG5EuTogYYpUXh2WEEO4N4HMB3IJpJWSchMeLhRBCCCGEEEIIIYQQJ55PxvQlYseetdykDSH0AbwQwGPR/nRuwPTOtW7SthLnvqdJuwOm3/X9ROyh9eDH4xvjf2V/1KhJ091hZ+Ok/cHscxtXW/PN3LDkIxqTn2nSOP4258cR9pSyv+ziaCPN1xwP12kzaS8Du3zZZeQ5az0v7nSDdNEe05lB6vD6hHMXkuX3mfO3d4mEokSkfCZm3043Lf/mIHWFjTtm24IrjP1t1qPW6ZAXd5j6OK0bd4Pctuz8rPEE33877bv3PiXtJj+4dev1z9t/k67buJim279kHKdpNYGLkLmdrIaVLmmuVtdfS8uTPq23jjzudhz9YZNeLhidIefu6fScbG3PndXsuGLf6w4Jb22f0CEnMjtp00Kki9lZd5pndh2Ti8/2wxvsiqU+OnfHtjv/GNt22Tlb45Vlsn4pS6t9X++6rnV1LusXXZfLFig7dz0aTxxZSToulrZt36LmeNiHyg5UvwyHE163yrmuaY/rdN3WwGfS9RxnVU5lNvuWPLNNMvdo99WW863b15ar9K4D79zn/V26bH3ePJfyvOBNnxzpNLfl8Sqdx1B5eTrubMqOdO8FNJmPl+ZA7Ki18/l+5qtt33azl05cSnMp+z2Bv0PwvmcH8+8Fp8lBu9VJ3zOw0UmPr4aT5qGt6YPXSckxXuMNr0mX6ZrNS35ebwzq0ir22Sbwl54Cy/ps61y27emU0rpnL52g87bsobbf40rX7c54rc/33VBEHO2Lw07E46FrJoTwi/SnbwghPGDBpl0A9wPwRQBeecDFWgvrutJ+GMDjAbwbwH8C8PcAlh9RhRBCCCGEEEIIIYQQIuXbzecI4H+b/VtEBPCHAP7lAZdpLazrJu23AHgXpm9Lu1raWAghhBBCCCGEEEKIk81Rv8Drpnx52ANn/wcA7wHwfAA/tWC7BsDdMcbLh1WwVVnXTdp7A/gPukG7Pji0dtCbP5icKQq80LgC3mP5HOI1ChS3Rc9Kjzvt4SLndzeT5STcjfUGjjaB9y2Fu9m090hZwPnwslUc7FF4B9e5DRerCUlhSmESHLJny3ymn4alffzWxWR5t5kfNXqh6AAAIABJREFUwwcnZ5N1E9I3RNY5mEPydBNAGirDbajD4X1UVzbkn8PYh6RVOD2ch8+fHuym21L4uReix3U67Kb5fMotH0nz3ZiH5b3v3K3JuqsfOJUsn/r7eT79e5JV6O75MaHRNLmGLwlWGJhtI/XqmZZgm0Ibd+eJ9a7Ax+Q73qIybFCI1IBC/vvzZY4Q53YfSKlhQ9x6lC6HZnmwUqLJKtbbl/pk08Zq9AZAGmpbozDgcOySsiBNx68nvka8MPFlVQiLWEU1kOTLYd+rpFVRps4Kk2IOk6zSFKygWajRKqT7LV/eg6RGU7AuTcZqioxCWLEJd86+8PF8L1MJLLsv12GNwsDfN1Na2XIVLh9Xd1DQvWyZUH1ex/NBC48prBg7fyWdz45GRvFEkxyex7gKA97XO3bWd1EZWQFltQXeeMTrt3qpdqAm5J3n9tweT3Xn8zbWG2x10+X+ESkAamB1TA3rUq24qpQC+xflVbJCmXIHV0qmNPDycpQGVWoE8Bjql9GO8wc5Ztpzz5oSpqZf5evYHsNNeUtQHCtijO+79jmE8EMA3mD/dpJZ103avwNwZk1pCSGEEEIIIYQQQgghRCsxxh866jKsk3XdpH0xgCeGEM7GGC+UNhZCCCGEEEIIIYQQ4qSzxnfJihUIIXQB3AvAxqL1Mca/O9wS1bOum7Q/CuB/BfDaEMK/BvDWGOPFwj5CCCGEEEIIIYQQQgixFCGEz8T0vuTD0HKDFlOB07rugR4YSxUwhDBBbqgCpnqS1862WbRrjJGNieIanRCx2d9buG7k+LPY82RdM+xRZB+WJ7j2PJ5A7vK0Wh7Ol/1fng+nJN2269mtNXY8Qpwnl5/9qZYh+X0adrY6uD62AuzJZe+YhV1HG+T4uv/23dc/87Hes5P2Y7zeOmv53PbIuTYaz881/6LI3UKffJyLu40pm+RYu204F6iyg7bUVu05YYcXL5/p7STLp87MPWr33UxFs++/NXX9vu/et83zfP8wWTe4kJaRnbUd0+SomvJfavvzj+yK3b2d6ng7bcvj3fn5as6n3XMg/7DVgzWb5OEiJy17ja3/lX16WR/G8mKz3KX25rUZvua57bJ7cGzKyOlyOx8aTzi3P3b8DdiRbNofO2k9z+xheWUXpZWk6/rM6tx6yzpCuys4aNflJQVyX1sNTY3fMRvnnW0LPr06961x763ghVzlZRqrnK+aY12n19jNp1AV/vkj9zevteNXlg8dX822nqO2uC9j0vLV7LSX72zlPq3Xae9nd5p+spw4Jntputy/79A7Cvb25stdmqP1e+myHbvHTTov7rHbvNs+P7LvqQByL/8WzVkHnfn2uYOWyuw403lM8cYRnkuxs7Vv3bfkoN3opOX3xrISq7hia1jBvFqF553tFvrow6oLC7eRKm9urc/WndfU5Fvow8J60uK+3huDRpHfq5Iu3zOef4/j78YlR63t//h+A/e7w3676/tmJ2K1OeE68r+ZCSE8CMBbZou/C+DrALwdwIcBfA6mT9a+AVNN67Fn2Rumb4baghBCCCGEEEIIIYQQ4mh4FqaPLT0kxvjns4dKXx5jfE4I4RSAFwD4agDffoRl3DdL3aSNMT50zeUQQgghhBBCCCGEEEKI/fJQAK+IMf65+VsAgBjj5RDCdwN4B4Afxgm4USv1wDEihPZwdqspyB6lp7AGG34wato1CbwtkIbxcz59yofVCbuTeXPaoPAwDtu3+XJYBqfrwcfXd3QAHG7JyxwKvdltD2fmfO7ZTUPZk3yoHjnE2oaeZSoBPrfOA+wcosLhLbcOLs/TPZeW//2XzyXL3vnifFiNYNvJ1VGP1vl6A7u+O0iP/ezwarJ8pj/XEHDoIsPhfTb8qhQyyeFhNuzuPsPUUXCun5bxvlvz9R+895lk3Ycvnk6WL9yTtqGOUQ+EvbQMFPWEydCUeSut41PnqExnUl343VfnfoTzm6krYbxD+oM9c66HaT6dAV17dG73jAajW4j37XTb+zRWIXCIqKVL23b53FIone17WKtw+6lLybINJ7WhpEA5nNSGYPcoPPGglAU1Yd+AH3bnqhAOS3dQOPZV8PrZrD+viGzj9tbB/serqnzWGOjUWSF0z4Zy1ra/Gmo0BSupE1bQITTLhtrWhNUCSFQDHCrsaQlqtgXgKQsyVVaWmE3L0ShwjoWxmtcn/XChGZ/uzXUBm93F2rFrXB4NkuWr/fn8g+d3PKe3ugOe67JSZ4MUT3Z+tE1qtFs3riTLfAz9ZM7j15s3PjE114R3DbDeoB9Ys7CC3ubQRATroaQDYKVBlcKgQh+wkqbA4wDHbvf4qvItHGtJh5DkO08r0xZVtOur9D3nnnH6naH0PcjDfo8rza3SOamCqhNi3T2Mg8j/JudeAP7GLI8BXP9iG2MchxDeAOCRh12wZVhLjxtCeE8I4cmFbZ4YQnjPOvITQgghhBBCCCGEEELc1NwFYNss3wngfrTNHoCzOAGs6+fFBwA4V9jmHID7ryk/IYQQQgghhBBCCCHEzcu7Mb0neY23AvjyEMK9AWDmpf16AO89/KLVc5i6g21M716LFgJiFiZ7HXqTq2WX3jRrQ+b3YrqOQ7FCh/ObhyRzWAaHtXOYsXfHnx//t7lyPmMOCXXCEzNlwcR/+68HqwVs+NhZCmMfU7z5BzvzUPa7dtKQcdZEcMi/PSe1oZhWS3BlnIbgnentJMu2HLcNODTOf/On5bJ5gygAnN/bbC9TPw2/KYWB2LBIVmac6e+2bsvh5IwXBsltqE/XIIfd2XrkUMANUkyc6c3bzf237krW3XX2VLJ8917abs7vzUOZWKeRhUKbMnG93baZnmvvLeus2zh/MS1T05u3++F22p2zHqBp0uvYy5f7JQ/elpUGoSLEPzhvrb11K603bn+Dbvvbsvka95QGpbdlu2oBDv9dUlEwLcd6QsZrNQSeWsDjQHUHFWnXhIBWHStdLjVvDO7E9cW8rfKm4nVqF/bLSmHRB6pkmPcBXl8IIFUccFhtlf6A9nWVBjXbptuzvSa7JrhavXydmWSV3gBpP8zXHvfRFp4P8Rzg/qfvTpZ3xvN5zpW9dM6TqQTMOMm6J4b3HZrvAecG6Zz0XD8drzZIwZOOOSXdgTm3hWu4ph9m3YvtW7J51gq6A9YqeFqZo8KdD2XKLf+at2trVQlVrGvMrdEmrHOcX2u+7Wll83PTdllbVDq3ViN4tUm/43ltiK/bQeE7klX67ZHSztPfHWFg/7GlOL6Lg+R3APzrEMKpGONlAC8E8DUA/iyE8BYAD8b0gdGnHWEZ983SN2lDCPz48LkFfwOmd/3uB+AbAUh3IIQQQgghhBBCCCGEWJWfA/A/AGwCuBxjfGUI4SkAng3gnwG4AuDHALzgyEpYwSpP0t6B9Pfx75v9ayMAeOoK+a2NEMJtmEqDvwbAZwL4BEyf8v1zAC8C8KIY548vhBAeAP/R6F+LMT7moMorhBBCCCGEEEIIIY4fawxkEpXEGD8I4Nfoby8IIfx7TF8q9pEYT84ZWuUm7UswvUkbADwWwDsAvG3Bdg2AjwF4XYzxd1bIb508GsB/BPBBAG8A8HcA7gPgUQB+HsBXhRAeveBEvh3Aby5I7y8OsKxCCCGEEEIIIYQQQghDCOEHALw3xvjL9u8xxgbAh4+mVMuz9E3aGOO3X/scQngsgJfHGJ+zjkIdAu8C8AgAr6QnZr8fwB9h+kj0owD8Bu33thjjsw+jgJmLyvilModrJ/XFXBnNvTXsmGSvLKdlb0tv9FOnFe/LZfQMPpnXzuQbGy4DbUv5jJrUl+OxaRyh7NVhBl32SM6PiD2l7CxrNudl5nT2qLzs3G31ECP35PL5sueA67ihZeurZF/ZZsfXRdt8t+jYOa2rzdzJdm6DXMTsJmZHmVnPnlmuJ+teHZFDid11fP5sXbG7yXO5TcsxL1fJo+ZxejN1Bv+DYeq5sy4q9laxF/iScVWNqS6ukMeK3VRb5hqZ0PnaGaZ+vXF/vu/W0G8zo5CWIzm3dI2U3Hy2X+JtPSdeyXXbofY4SJx/6fkZULuw7Y/X1XhmS97cTuJ+rPPKrssdW+NSrXbSLumc4zpeJ16ZuM/yHH9ZH7yC63b/o97ynt+F5ShdnAZ2Th5HF+RBuoz3T8GNaD207KBlRy3jOmsd76zjnAXyEnfMX3JvccEza5sn7dqpGEO5nWf9rFnP8wmv/+B+dNhJ5zz32yS//O7c3f6hyelkHc95TpnxdnuQes75/RJcr3YOxHNQXuYy27rga4Drzaubmm1L2P5xGNLyZmWsGYNW8FJ7cP+2CjVuUu5H1+mz9cjHoOXOde04aPMt5bnKGJukk41d/P2WPLMmn2zfGrc59ecjet+Jnevzd0fG5svfQz2vLC9n39NC+/dOSWlvLGojzWf7bAB4AoDHAfhEAEMAfw/gdwH8eIzxfS15PQ7AEwF8GqYPdP4ZgOfFGF+xwiE8E8DzV9j/WLGuEefxAP5wTWkdODHG18cYf4sbWozxQ5hKhgHgoYdeMCGEEEIIIYQQQghxIoiYPmh2ZP9WP4RHY+p1/XxM7+s9H9MHFj8D00jzXw9hftc+hNAD8DoAPwPgNIBfwfQ+2kcAfC+At4cQPo0zCSE8D8CLAXzcLL+XYnpT+LdCCE9aofwfAHCmuNUJYRXdgeXnMT1Br1lTekfJtZ9zxwvWfXwI4bsB3IapwuG/xRjfcWglE0IIIYQQQgghhBBiPdRGmj8SwD/F9EbtV9A+PwTgBwD8KwDfYf7+BQCeBuDdAB4SY7x79vfnAngrgOeFEF4RY7xjifK/HMAjQgibMcarS+x/rFjXTdoPY31P5R4Zs18EHjtb/O0Fm3z57J/d540AHhdj/Lt95vHWllUPCpiHEQy7i+4RT7k0TsOXOdTbagk41L7f8cOMbUjH7ihtHt2Or06waoVSWAbva2HdASsbbKjF3pjD3ClExaTlhXcAfngLh9BwSPztg0to4wqFpu9N2gNXvTAmINcf2GPg8t8zGibLNmyIy18KAbWhWX0KvdrupmHhNSFhnr6B+djoVOu6Utgj6w5siBSHU23QtddxQue43rx6LKkQeD2HK1q2SE+x0Wxe/3x+tJmsu0jtYExdtdUdcP2PTrX3Lbzt5b20X+p2+RyY9tfzlRJ8zWcKFAe7b1EPQOfrvlv3XP/MWgju06ziIL+ellcYeKGa2baF69YLEV0l7LsmpLAUrrhseGJtPuvC0xsAad9SOylKwjwrwr6ZVeq0RrOQh3m2lzkPiT8Y1ql6ODCK58fUK+sNSGeQjaG2/3DVB0CiJcg0HjTf85QGPOZnSpq0XTSmzNzeaiiN81ZxkKmJeC5ljodDjjmf0zTn+dQzH7r+eadJ580XdtLx2Pbh3jwfyOfvdv7HYw7PFzZo2faPJWWBXV9S6KyiFrBjEF+3q4xPNWqYmvlqScWxUh9X020Vr2ub7grj6wqHc1DKgpKCIe+n2tNNx1v6jlChPyi11Zo2ZjVnvFz8fmjKkbVFKkKucWufk07GPMbM16/l2c0bilD1feUg8l+FGOPrW/7+oRDCCwH8CKaR5tdu0n7i7P9XcnQ6gP+K6U3a2+nv3zP7/0eu3aCd5XHH7AVfz8I0Qv8HlziEHwTwRQB+M4TwtBjjiX5n1LpurP42gIeFUDNyHEt+FNNHul8VY7RPBV8B8MMAHgzgltm/L8H0pWMPBfC6EEL7HSQhhBBCCCGEEEIIIU4OiyLN/3L2/1ctuAf4tbP/X0t//9LZ/4sehnw1bVPL2zFVKHwZpqqFyyGE94YQ3kP/3r1k+ofKup6kfQaA/w7gF0II/1eM8c41pXtohBCejOnj1+8E8G12XYzxI5j+GmB5cwjhKwD8PqbujicA+KlSPjHGB7fk/1YAn1NfciGEEEIIIYQQQghxk/KgtqjttntQJZxI81cC+C+YKhD+PITwWkxfNPZgAF8I4Kcx1aFeS+cUpi8juxRj/OCCrP5m9v8nL1NOTB8+HQHg6HZ+xPhEvPJuXTdpfwXABUxP4GNCCHcA+BDyAI4YY3z4mvJcGyGEJ2J6g/WvADw8xnhXYRcAQIxxHEL4eUxv0n4x9nGTVgghhBBCCCGEEELcAMSyluKg8z8gFkaaxxhjCOEbMX2Q8VkA7EvCXgfgP8cYrSfm7Oz/Cy35XPv7uWUKGWN8wDL7HVfWdZP2oebzBoBPmf1jjp28JITwFAA/CeAvML1B+5HKJD46+38tuoNrLhjPbZT5NzOf1Hy5S94tTrcT29PKykC2kV633VHruWEZ9tNymdnvsmwHyD5XZkiezLFxx+YepDStYXfeB91n455k3Z1UF1ebvpMPHSufL+dclzyEI3MM7D3K/KLk0d3szh2oudtt/y5VpsadyPnaY9iNaZ2yR7bkJvXyYTyPGuMdH68bhhGtN9di5u5tT5edtPfbujtZvjhOHbX23HI753ytT5l9ed1hWqYRrbfXcb+b1jF7gD0f7HjCHkzvmmj3bgHArRtXkuVTvV2TT1r+HapX204yJ23B0+e1R/ab1XhlV3GR1jhd1+mkXTbdVVjFo8g0YHfd/snGlQoPreveq8x3v2UouQPddAtlqvH2reKrPBZwP+t6FOn6qXDUZj5110hWqFPHO8uuzmwe4+y7knuZ+pYejRuph5Xnuu3vGSi1L/a93ntw8frn+26m8z8er66O53OVvJ7SZe8dBHys2bzMWS55Zi28Lae7rmuRz0fJ674sTcVcCgAmNT36Cn7lsqfa5rP/TbvUtfB45dGBf1176a7ilU3TrRtzbFreGHmY2GuExzmuN/ZhW8rfY6xXNl3Tg9/P7jnuW56PW45HDQvincs+MbsIL9I8hDAE8BIAXwXgiZh6aK9g+jKxF2Aadf7oGON/rcz22N0vPArWcpM2xlVGpqMjhPB0TH8deBuAL19S0/CPZ/+/Z20FE0IIIYQQQgghhBDHnngD3V7cR6T5vwHwaADfF2P8WfP3V8+esH3bbP9rN2mvPSl7FospPWlbRQjhFgDbMca/X0d6h82JvLm6DkIIz8L0Bu1bMW14rTdoQwifH0IYLPj7lwL4l7PFlx5IQYUQQgghhBBCCCGEOEBmkeY/g2mk+cNijB9asNm1l4O9gVfEGN8O4C4A9w8h3Db722UAHwCwHUL4uAXp/aPZ/+9aodzbIYQfDyF8CMCdAN5r1n1+COFVIYQT8Q6odekOThQhhMcBeA6ABsDvAXhyCNlD+3fEGF88+/xjAD49hPBGAO+f/e2zMH/73LNijG9ZvVyxNSTfhnUNKFR4b5Iuj0yYbiiER3hagnGT3sMf9NJ8WEOQ6A6ojBzevDeeN73Sr04cemHz4dPmHS+HOmehZM7T9aPCw+I2/I1D4cYUvsL5jDrztPcm/iXJIdg29IePb7Pbrh242mS/OSRwmJANweFwnC3sJcv2XHNo0iqhz91Oum/fhCc24/T8cEjeVncXB0HpeLxwKw7TYm1EEiKVhUSl7cQqJnp07Nx2P/nUh5PlO0fb1z9z+xqShsCShb5R19XpttfNBqlFtnrtqodSvp7SYEAagnP9q2k56Phs3bEShMNLt02b4nNXwvYBpXBRex2U2ts6dQHr0hSsUy1Qoy05LGpCQhnv3JfCUt3A9cJ4ZUPMq0JCK9KtTfuwVBdHhT0n2XnPdADt4bG1+oP9bsvh5XlYeHpuO2Z9ru2gtCr0VzVwXXCfZftsLpOnA+jTuJGF+Geh+fPlB22n32N5Tnfnztb1z6NJQQJCp8uOZ6zY4eunRnfAeEqnfiC1j9Mncxvy8+RzeUD9gav8WABfMwZWIdSoH7Lruia6d4V8auo1Vxi0K7i8dEsqBF+TQ31Jhf6gZt+8D0vTXel8WShdT28A0NySqnhMZbJzX1boeN8dgbRvKc0f9kr9ljjxVESaX3Mj3r4gjQ0AZ2aL9kbB6zHVJnwlgBfRbl9ltqkmhHAWwO8D+HRMy34ngE81m/w5gC8C8M0A/nSZPA6Ttd6kDSE8BsATAHw2po8sX8T0SdVfiDH+6jrzWpEHzv7vAnhKyzZvAvDi2edfBvBIAA/BtAH1AXwYwK8D+JkY4+8dWEmFEEIIIYQQQgghxLEjIn+A7bDzX5VZpPlzML1/9xULFAeW38P0hWLfH0L4gxijfSLq2ZjeZ/zjGKOVtb8Q05u0zwgh/GaM8e5Zvg/A1Gu7i/zm7X55BqY3aL89xviSEMIPYvpSMwBAjPFKCOFNAB6+ZPqHylpu0obpY6gvAfAtmHqkG0xfqHUvTCviS0MIj4gxfss68luVGOOzMW08+93+FwD8wkGVRwghhBBCCCGEEEKIw2SJSPMfAfB1mN7re2cI4bcBXMX0xWGfN/v8fXbnGONbQgg/AeCpAN4RQngZgAGAbwJwK4DvjTHeseQhPArAa2KML3G2eR+mD10ee9b1JO13A/hWTO+6Px3Am2KMTQihC+BLMH1k+ptCCG+OMb5wTXnecATMwxXccBD6qYTD9ocmdLiZVIb2GPr8WlDCC1lj7QC/6d3uu9FPw6eKv0K1KCGAPOTfe9N7KXTWngMOffYYUjjYZifVAVzEMFnum3zGhd/BOOR6v+tK8L58tDZUjkO8rkxSdcJ2b+f6Zw43WuWt8BxK2zefJ92ddF3xTcdGlVAIK860BKFdAcDUvDWZw6u4zF4ZbL16mgsg13Hc0rty/fPd461kHYc1Wf3BlXEfHl3ul8y+wx5rBnjbtIy2v+AwrrOsMHBCQrlOhx3WLLSHv2VhgzYkdIVQ7Zpr5DB1B2m++0+3VklwYGGtR4Q3bB7Um7Uzah7kqHnva237OpnvlD0Yqt7ebtRR1Gdx/8fiC9tusjYT9r8tvx08D+02b1EvOKs6WTlMuiu0Ee7vuO+x/X22ztELlecP7ftOX2w955NOfSRZnsT7XP98aZzOnXbG6cyLNUB2XOSxq6hkMMs81+DQ7VR3wPMUX0uQ6nkKyhZnvPW2XYnC8MR9dNrO6RqpGLsOS43A/YOr1Cnpa+j4bN14qryadKZp7V9/cFSU9Af7paRJ4Ot4jPkcnPUGnsIg04Dxdzy3/aXb7jTpXH/Qae9XxdE+SbsGqiLNY4wfmPldnw7gawA8HtNJyQdn2/xYjPGdnECM8WkhhHcAeBKA78JU5vGnAJ4bY3zFCuX/BwB+o7DNJbS/uOxYsa6btN8B4A4AXxxjvP6NOcbYAHh9COFLMBUPfyemjzkLIYQQQgghhBBCCCGOiNpI89k+HwXwr2b/avb7JQC/VLPPPrgHwL0L2zwQU1ftsWddP1d9GoCX2xu0ltnffxOpvFcIIYQQQgghhBBCCCGW4Y8BfG0I4fSilSGEjwPw1Zi+XOzYs66btBHlALsT/fy3EEIIIYQQQgghhBCWeIT/BH4KwG0AXhVCSB4MnS3/vwCGAF5wBGWrZl26g78G8KgQwjMWPU0bQtgE8A0A/mpN+d2gxFav6MS5+gaOa4Y9QeyYZGr8Muy0Gffn9/wv7Gwm60bkxu132t057H3yyLxI9FuA50nynTyp/4s9XJ5bkP1KZ3upo+xSs5EsdxNvbrovu3D3aHlgnJvb3dR9y/u6flT29TqurR45k85Qvp5LNcvXGVa4LnL32XxfdrTy+TnV2U3XG7dTH55fLndIWRcct1X2jllG0b/2Ml9qGC38DABb5Dm25ZhspGV4z9Xbk+Xc9euca/LK2v5ju5+WYUzXOF+L1kN7hjyy3HY9R9lmob1ZD22fnLQl/2uyvuJnxaawcU0799Pxtz0qP5hXrhr33kFScsFZcu/nesjcfBVeO3bdun7bWNGm2LXnjW20XHIHWo946Ro5KiaJ/9WvN3sdVx+PV1dL+mqBkrO23UELpPOjUvvifdN1hfcXBK+d+MfuzQdL85Z0jtDQtu3+2myMLJQxSZsOdYvGq+3+3J+fjZFd33dv3ZAjnsvToufnzec47d7ZWp+o5771qHHyA+X5VCvsWmbXvHO83N5K2LZb8td6c8caH2ppnLNtrnR+Mg+/OYa8HRyMozY/P/xdbD3jSq0Xd13zGu97DZeL3zdxT+H7fA3ud2X3fSe6NSiODzHG14QQno2psuEvAIwAIIRwJ4BbMB0Bnh5jfMtRlbGGdT1J+4sA7gfgzSGEh4cQegAQQuiGEB4G4A0A7j/bTgghhBBCCCGEEEKIE0+M4cj+CSDG+BwADwfw/wG4G9M34UUArwLwZTHG5x5h8apY15O0PwvgiwB8M4DfATAJIdwF4FZMbwQHAL8eY9RLw4QQQgghhBBCCCGEEGshxvgGTB8QPdGs5SZtjDEC+NYQwisAfAeAz8b0Bu0FAH8G4BdjjL+yjrxuZDphHr7OoRaTMP+FpBfo1xJatOESO016inmZQyusOiEPu/CX95p56MXZYRrOfHF36O5bg9232+GwrTRdG6496JIWgkI48vAwq2QgtQOFWg1NuD2HpvPyLaQ/+NjoFNroc0gNh2+bMo+ozfDxuSHXFHLjhV5td9Jze7q707JlPbaeS2FAA1Pn+bnzwwZ3MQ8b9HQGi9IamDC8PWoHVyapysKGi+Xhle3pAoXQWzqVNlT11t6lZN09g/Tay9QQcb6ew/kG1N6G3fn6vcYfPlitYo//9kFaxlJ/YEOxtrupuoKVBl7Yao1CYxW80LHafEqhtutiXeF7NVqBg2Sl46nQEKzESmVsX1WlRsjSrShTxYMbtaqEdVEKY50467IQeZtWofwchuv35xTSu4omItE3+CHjE55LGjqx4jrOQsg53fZylNpmr+LwfSVSWgYeNzrOfC/bN1MnTMy6tEwbNJ8Ym3GR64mVQVfG/WR5pzsfcz/cO5Os2+6l8zCuC9sfenoDIJ0jlHQAeT6H0//bc+DNVwHSQdHxcPsrHZ+3L+PVBWs8PB0CH583tpUUOt74zPoNT7NQVhbM8ynNh0pp1bAuVUKNhqoGLlNpLmjKjpEoAAAgAElEQVS/A15tBsk6X0OQwud9XKHM4OWNbvt3LyHE+ljXk7QAgNmNWN2MFUIIIYQQQgghhBA3Nkf9Bi/dMwcAhBAeAODbMH1o9CzmD42+NMb43qMrWR1rvUkrhBBCCCGEEEIIIYQQh0EI4WkAfgRAH2mczzcAeGYI4d/GGH/iSApXydpv0oYQTgE4h+xdo1NijH+37jyFEEIIIYQQQgghhBA3DyGEbwbwXExfGPYCAG8E8CEA9wXwMABPBvDcEMIHYoy/dlTl3C9ru0kbQvg2AE8H8KnOZnGded5oBERszDxZ7Dy1/piSS9X6f2p9Md72Ja/QVm/u3hrEtIwDKvOe4+Uaof3YuYyZ57Pbnm8v+P7JzLtjnGXWwTNNq91Vxx4n9pfdq39PsnypmXtMdyfp5XG1SZ1kXI5lYd/SiNobu7SsL4udret0N1k3leegnZbJ+uZ8vyuvn0zafUw1TjKGvWI7cX7+uN6yOq6oR2/bIdJ8Pn5wd1qmSdqmbJu7OEr9tXzdpr4vdi6290MAMDBtdyNzK1N7JJ/txPQJW+SkZc9Y33EVl87lurystRrJ/XJcfK/M2uqtgpJHu8bxxxzU8bAvcKXzWVPGmmzCAflrs3yW39VjlWu8xiNb7K9rnLtL+moX4ZUrdzQ66azUNv3V1n3ZJ19tyalp4XPJZe4u6ZnldZxPvjzPd0Dj763dy8nyJ2yev/6Z53t37m7Dw86FP7abvsvggZu+a9X2hzz38OY8I/rKxnOpVRy0Xh+91nRMn3a+Sd8bwB7W0539v2Oh1Nd4blWuN3bUWkrHZ8ez0tjlXV98/XiOWk7H88qW5oYeJaf4Kvt67+k4MAp9Cc+NLZvdvWSZHbVevf7/7J19nCRJWed/T1VXd0339EzvG/sCIovKiwKCsCgIuAjyIggnyjsIiMd5vqC4nh4I7rKewgmyvAniC2+eCL5wyKsLdyysgggHCqKACOwLu+zrbM/0dE9Pd1c990fWdEU82RXRURlVWdX9+34+85nOzsyIyMjIyMjsfL5hz6XFPfelOT7Mc4D7/Dui2/gUI9CE9j2K/Pc5F6F4Qft9qnq18/uvAPi4iLwNwGcB/CqA/fGSVkSeDeDNKGYH+DsA1wLI8zaJEEIIIYQQQgghhBBCfL4bwNvMC9ptVPUbIvIXAH5qvMUajlxftf4qijfXD1LVL2VKkxBCCCGEEEIIIYSQiUQBaI0Bb5MZazdWVgAsR7ZZBnBsDGWpTK6XtN+J4s01X9BWQKBoDQhVmW30P2G3IRuh8LZYiP+xDT/0J4Td16btahhmYMMjzLbd/vJGx4Q221CBQPSO1RvMNPyNZ531VhMxa8JKbJiJu/2Bhh9mYnF1ASUFgwmdW2j44doHnfDt5c15b10sRMWlHNo9OJy+HDI0OHwPAA7PnNj+ec6E7YdIUQUA/jHYfcv12j9fVm8QC0VtS/8YSmGBMjhsCwA6TjFsvptiQwP7623IWmrd7BZb/nnTdjfUL+O8E0Jlw6lC9Wj7KttW202/nbghUzElyNzM4DYWClMF/HqNhcNa3O2tAsRqIlx9hS3DXiNXWOooSSnjuI7HahWqaBRSVAmhMNVYuqF+qdxX7v6RwN7Xc/Z/KeUI5duw56tKGVOiDgMhvDG9QUnR4PxcCu8NpJWiesiJLWNKXxoro5tWSItT2jZBjWDTiqmW7jV/7fbPN24e9tbZe/Xps/743B0fWjXR0a0D3vKZM75WywuJN+Nzq2IKhd6XxloJWplR9buxftXqk1zmxIxTzPly+7yUUHsgrS8NaSNC5wNIOwchZUE53cH6A1vnoftI7L6Roj+w2Ova9mN+vhMwjon0d+swiruA/sCOwU+YMapLrA01AxrBsiqmvyx8LUgmiw8DeCSAF+60UkQEwCN62008aXecwRwBsHuRDyGEEEIIIYQQQgghhAzPrwE4TUT+XES+3V0hIncE8A4AS73tJp5cX9K+H8CFIiKqdX7oTQghhBBCCCGEEELIeKh34rB9z5+h0Bk8CcBPiMg1AG4EcDaAO6KYL/ULAN5RfFS7jarqw8Zc1ii5XtK+EMAnAPyBiFykqsczpbuvEHFC7E1UxpYTimDDcSxumP6WCVPYMLPJlmdvHzzDo1UWlHQBzuztsdAKN7xlZsZqE/zloyf9sC4JlLF0PBgcwmHDi2xYiashODyzZso/+CP0mKKgbcKrzmz1w9Ju3fRn7D3R8cNXQmEotvx25uCOBkK+TJ2fNuPPSHyw2f9QPiUENCUM1aadMqOyDccpzVZcKofbVmcRIhjiFgltdGMVYtdtFYLnxOS72DjhLZ9s9NvYoRk/IOJE16+bQ83+vrZ92RlgbfjbcWdWZbvOhnmGwkljM2+710gsDDIUJmhDnzeNJqLtzOKdGsaZMiN2rC/NRZVZuvczVWblDpGiSkhRIZRImA28Wvh/rsCtMlXK5Y15kFFborsvU/DcRgLeSuIi93wlqBJiZ6fKTOihEGR7D00hVib3vlHWQQ1WGsR1B/491U3LXvMtM7ZqaT+t9qx/3ztzxtfkXbNxprd8Rqs/Lrth45C3zqqy1owqwdX32HuZPZ5FZ7yX2ofZfiu0Lpf+wPZ/oTJY3VhMbxXaNkZo7JhLhQCk3YM87UVEWVAXYVWCOZ6SZiFhbJXgpKnS/3npRPq70PjWakms4sRdih2bVUy49WjVgKX+z+nThO8jyWRxofPzDIA79/65fO8O+03kA1Cul7R/CWANwM8AeJqIfBU7i3sn8k01IYQQQgghhBBCCCHJ8Eva2lCdkL80ZSLXS9oLnZ8XANx7wHYT+aaaEEIIIYQQQgghhBBC6iLLS9q99uaaEEIIIYQQQgghhBBCxkWuL2mHojfT2p1U9co6yzFJbLuHjBNmwfHSWBekdW1tdZsDt7XMNv18XO+s9dJYJ61d72IdStaRd7DVd15Zp9DGhu/ZEZtWgjtxtjnYSXbA+H0ONP3lecdJa52Zs8bhteE4vmJeJ+v/Wmr2fbeucwwATnR8J+jCjO/TcnHPO1B2Dh2c6R9DyDkLlH1ZqW7ZQemU1gccX9aDZN1anr824qAtuc8cP2Iz4g60Tiz3/MV8oaP00O4We31ZX9ui45m15b1x87C33HK8x7ZvmTPXk3V4uedzzbhuN40v2abl7ht30g4+n7ZdhNpnyGtX5OO6b3efbirNQBOL+SpzlmMvEau3FKq4fKv4bENuwXI+Ac+iuU6tUz2W9m7zGWVbrFLGUZXLXrfDtrmYJ9fe51Pqwnq3vXQy1ksrvslQxDyzbl2U5yQYfN+YtWOPZOf9YNyxox1H2nvbQvs6b3m163tmXY51/HGzLbNbV9ZlaXG3tQ77DXOvbgbcl7F6cfuwnP7ucDmGH5OlXsPuOQjObWCw7St6nw/Us73HuPUc856HXOex+0TIZV72zJp7kFPm+L5hR22IKp7ZkJ84pe+MPSO4fYIdJ9s3OG6d2/uCrWN3jgjAb0Mzph8KpSUMkPZRQOusEp4OAICInAng7gDugAFDEFV9+1gLNQS1vqQF8BwAv4litjVCCCGEEEIIIYQQQgiJIiJzAF4F4KcBDJoVXFC8zuZLWkIIIYQQQgghhBBC9iT8mrVOXgngvwL4EoB3AbgOVcInaoYvaScIgTphBiakyAkvaIgfCmzD3N3WWA5TMMoC8de3nZB/Gx5RCvlKCPGyKoEDzX7ovQ3pn2n4+Rxs+aoBe0wusw0bIt8vo5vnTsuLJuT/sBMGfkbzuLeubcKxlzvz2z+vdNreulhoXMs5Y65iYSfsuQ4pJ5Zafpjama2Vfj5G3xALzwmFW4X2jYVehkIQbfhbKAQxpjew5XBDomLhUqXzFzrejCGibp1XSdce37z4bWxTB98GbPil227mZ+11OVgLYdOyqgQbflnSb3jn2j8eW0Zvv0i9hULW2vCvcatgcPuAurQWVUJEU0gJIaxC6HzEqBJOmpOUkNiUMFVL6NzHwlj9fAaHtJbTDZcpJdS+LuoqY0qbiymTvHQTJpIuqXtMHzcJpOkadq8wiClpvPFEos4gpR8O3det/qBtxvoLjZM7/gyU7+P2nuTme7LrR39+a8PXGt0mC/0FMzw4qf6+tq269+Olpq/VCtWj7bNGdW+LnctQv1tlnBy7t4XuX5XG5+Z43eOzdZyiP0jR5MQUMyH9QUnnkqg/yEXoHKRoVyy2buzY1z3+ssLEX3ava5uuPT8HA8+adkwd0iYm3H4IGQdPAvAFABeo6uQNcBLhhF+EEEIIIYQQQgghhJBpYwHAR/bCC1qAX9ISQgghhBBCCCGEEDIUGomCIiPlXwGcW3chcsEvaQkhhBBCCCGEEEIIIdPGKwH8uIjcpe6C5IBf0k4QDei253CzO9i7M2P+SBNyMlo2rffIuGJdf9FsY3jPYtP4iqz/1S3znMnHunNOdHwH1kan32ytk9U6aRdm+t6dQzO+68d6ZU+b8f1Zrod2sen7Xa0rbEP7rtibtxa9da6vFgC+rXkrBmHPZanejK93zinHwVn/+Kx31k3bus8sMYeUty7gW4o548rbBzyz1onsbBtz0JYdUW7d+E7kVeN2s44y91psi1/HORmlN3NQPrb9WU+z2+7XjZuu7Mvyz5/XVs21uNaZ85atn81tR7aMIbdgjGAdm37WOgDH5SZOIcWHmsKoPG85GVUZU328Se7RBJdgad/A1xox16CfT8R3GPAQktHQSBjTWULe4BaGT9cyKrdvyEUauyZS7gUp3tkUP+ooncfu9WfvRxtq7ouBMdC3z97srdtUf66D0Fhxw4yP1rr++Mndt3TPlN1HoIb6rEkl5ksNEWqrsXuQm28sT7ed23tIiqM25jJ3+6GQ2xYI15sdR8Yctbmw+Vqa3rOKdWGbeUeca8jOrbHa9ce+to/uiusQ9tO11557uqx3up30nsDvD8J1wTFBCVZJbajqX4rIuQD+TkTeAOBzAI4O2PbKsRZuCPiSlhBCCCGEEEIIIYQQMo2chsJN+5uR7ZqR9bXDl7SEEEIIIYQQQgghhJCpQkReCOBiALcCeBeA6wEMHxZeM3W/pBWUgkr3LyK6HSrUavqhCTY8xMWGt3W9UBETHm/SsboAG0riYkPtLW6ojA2PsKH3h2fWtn8+3mn76Zh9j2356zeag5utVTTMOzoHGyZ92CgMXL0B4CsOlhpr3jqrc3AFBrHQ7fP0Nm/ZrTerUTjY9MPFbJj4YqO/bOstpjQIkRKyl6I0KGsJzL5eG4opC9T5ObxtKEx3w4T22BCwkyas3w1Haol/bm0o06gIhTpbYiF4bj3bUKu5htWhOG0V/jqrD7EhU24fZq89ez11TJ/mhovFQlpTwt+C4bPqp2OvzSStQiR0blhsO5h2zcIoyz9sGVM1Cil6hCpqhFCbioWxppBy/CkhyilKhr3AsOcgtV5Cn4ZUaQdV+rCUdp6iKIjmm1DmKnXjUgrlrqA/sGP7lD4sNAZyx40AcI8D1/r5OMdQuo+bMty8dchbdp8hJkWTkzJemkRsPYbuMSnKBXt9pOgPYgoDt73ZdpyiPyiPV8cTSx7ra9xjCOkNAP+5wJ5Lq9ILndvY9d/QwVqwlHGJHX/Pm+dQN61xnY9pghOH1crzAHwdwH1VdUfNwTRR96j4MgDn11wGQgghhBBCCCGEEELIdHEOgPfuhRe0QKaXtCJyHxH5ORE57PxuQUTeJiLLInK9iPyS3U9Vj6rq1TnKQAghhBBCCCGEEEII2Td8HcBS3YXIRS7dwa8DeLCqvsH53csAPBPAcQBnAHiViHxJVT+cKc89h0C3w4ttaEIrEC4R2natY2Z/jOCGNs01wuHyNrzZ5WBgVnjAL2M5xN/s21jwlkPHZEM85pt9zYIN3bbLNkRlUfrlaJt1t3b8MrkhX3bGTRvqs9yZ95bdkCNb/tvP+WoEy7BKgyqzdMfC99wQqSqzMcdmXw6GwCcoGKyiYB2tAVuWSQrjjGybEtaaEsaZEhLfNevstenWo1WYhGaIBoA5J61NM0P0SQnXuXu8KRqMVLxzJPZ87P5aK4WmG41ESmhtqF2MSqMAVFNqjIqUEP/SvkOWMVWTkCvE197Xk8pfarvjwbbzJLT+NjSJVKrTUlp5tAM58yntW4OiYJSE9AepfUtIe1batpR2IDzbtLHQ+LykV2v6+ax0+3qycd0XqugMyvfq4cucS/sTY1T6g2i+Tlp2XBJSGNj2lqI/GN/YIvZcM/iZwvZD9pnCfVax4+JYvuvdlvPzAW+drUcvXVOmVoLaMNb3dwPndt+jvX915r+/eSOAi0XkHFW9oe7CVCXXHeV+AD52akFEWgCeBeDTAG6HQmlwC4DnZ8qPEEIIIYQQQgghhBCyf3kfgI8D+KSIPFtE7ikid9zpX90F3Q25vqS9HQDXPH8/AIsA3qSq6wCuF5G/AfCoTPkRQgghhBBCCCGEEFIj0vtXZ/77mm+g+J5YAPxJYDtFvnegIyNXAe3BPqj3u487v7sZwFmZ8iOEEEIIIYQQQgghhOxf3o49JH3I9ZL2GgA/4Cw/HsA3VfXrzu/OAxAWbO5zGtBtz2OKh8c6ho53+k4o66GxWD9OyHm1aFyxi80T3rLrzjncXAvme8hJy/qkVox3xxLy89rjcZcXGie9ddapudjwjy/kClrTOW/5aKdf5tUtf91W03d1rnX99b7byO9bYj6wDcftGXIMAWGHcMyL5GL9SyGHXMg5u9N6zz1aWpfPTdV06nle/HZxDG1vec6cA7ce7bFXceTl8uuVXWHh+5V7/Vkvc0v8tuseu/Vuxa5j9/pbV79Ma10/30bAP2zzDZH1fBjPZ4oHbxLahSXmQK7iPU4hlyO0Sjqh8o/LiQf49/JKbtspHKI299EHILm8xVVJadvZXN/7nBSvbAqx8ZH/nJDm3wwxb8bVKWRrFwn3ZtuOO+ZQrS/fZZTXbehajHlk3XKF/LQ2n5KPt1Q3AW+pKW/IUWvbfLR9jal/TGnn9vpyj9+OSUvPOU692nlEYmVw58goXy9Ns+SUqTHY87vTevf53T53WjrO9SbTONggexZVfXbdZchJrpe0fwHgpSLyVwDWATwAwKvNNvcA8LVM+RFCCCGEEEIIIYQQUi98b00ykesl7WUofLNP6C3/M4BLT60Uke8GcF8Av5MpP0IIIYQQQgghhBBCCIGI3A3A3QEcVNU/rbs8w5DlJa2qHgfwgyJyj96v/k1V3W/p1wD8OID/lyO/vUpTuljqaQJsmIkbgmNDkm2IihvyYMMuTjohDUVafpjGnBPOHFIHAGFdgA2BsqEiXsiNCVWy4Ual0Ium+6Ofrg3pd0PVDxldQ1v88lsdQtup51s7C966dVOPLie7fvnnmv752lQ/RGVd+2nFjmfD1I2rtrDp2vPThhumPzh0ZyfcNhYLkXTbXEhnEMs31GZKeVb406XNx7YTe67d9mhDl2JhabkIhUymhhA2nK7GhqzZ9uceu623lomMC4XHLhjFRKu1NWDLAjecbJQajBDl9jf49tlCOFxsXGXO2U5CNKYgVD2kd8ilXKiM5jkntn2Nq1+aRMapq5g0xqUoGFd/lsqo1AKTQJU6j/cHu0/bjoHW0Nd5ldUBVms0ON3Y+M8+j7jcsLU0cN/FxnFv3Xr3oLe8anRk3hjIXE72+cqqBnLpEeyxh85frExJ+Qb6D/uMGuwvIuODZB3CkOTUuoWes63+wH1mj+oN1H/ecJ9L7fVk1Xleu4hUoX2WtIoxF3utLTX6OsOZCe37a2VChpP7FRG5N4A/BnAf59d/2lv3QwA+BODJqvq+GoqXRNaZzVT1iwN+fxWAq3LmRQghhBBCCCGEEEII2Z+IyF0AfAzF53yvAXAXAI92NrkSwBEAPwlg4l/SZv0zs4i0RORRIvICEXmJ8/u2iNxORPbun7UJIYQQQgghhBBCCCHj4mIAswDur6q/AuAz7kpVVQD/AOCCGsqWTLaXpiLyKBRfy34AwO8BuMRZfW8A3wLw5Fz5EUIIIYQQQgghhBBSKyr1/SMPA/BuVf1SYJtrAJw3pvJUIovuQETuB+A9AG4B8AIA9wfw1FPrVfVTIvINFF7aP8+R516kAd32z1gvkutysm6cklu11XfYNLd8X8wy5r3lslf2xMDyhTw7gO/OsQ6bZkDSsl7yVvlYL2bT8fbZ8luvrHs8JbetYcGsP+acg+WuX2/WGxTyPll305Et34F1rHNg++c5U4aDM9aj69e560vtRsRPraDXc7BvyWL9SzHvrLdvxCeayzub4p6ybdO26w3xXb9u2jG3WxUfYijtkTkATRU3TZtqBnzDJSTsmXWJO5ED7uKanJMdJ1/rO7V+6ND1lbP8ts1MqiuyFqbBEzaiYKMmBvsbyXSR0yXtktpXjKvfreJTDh3TtPtqq5S/yn0hNg5zx+u3mrHugimye18szbVh52cw693xfMeOUwIO15Vu21t37ebp3rI7twbgP2+0I88bx7oHMIgUr2yM0LVn0w05amPXcHgMGm4H7nOP7bPseGlU45Q0r3b4GSj03GP3jbVlF/vcZuvCfRdg07Vzv7jOWpuuvW5bgTGBLYN9dnavcZmKgRXZRywB+GZkmwaKr20nnlxO2pegmBzsfqp6g4hcvMM2nwHwfZnyI4QQQgghhBBCCCGkNhSA1vjemq/McROA74xs8z0Arh1DWSqT60/JPwjgPap6Q2CbawGcmyk/QgghhBBCCCGEEELI/uWjAH5MRO6600oRuQCFEuHysZZqSHJ9SXsQheogxDwyT1S21xDR7XCGtvihCh0ZHKJS0gE4609vHvfW2VAeG8LhEgrhjxELIXdDODaM7iAWBuQqAcohURtmedP52Yag2DL6aV27dcbAfFY6fsiUG95sw0xK6geTz4yz3h77Ztevm/kZ//jmm47awhzPYtNXVzQC4TlVQnssfj671xkU+45HaRCipMWwIXpjCvOsJYzfGDNsWNqoGJX2IhX32o3lM+v0J+vqR85slhQuft/Tcuo57/HsLb1BlZBQy1SoH/gZRGWm4jyPkFHdN0bZ77qUwn+nQBk07eqEEPa8x+qtjf4Ydam56q2z90V3rGjDr2P5uIoDW/82DPzGrcPbP1/tjOuB8tjQPk+dNXNsYBktKRqCURHTKqQ886Vce2XVUqC/0NH10bHnE2/bTFo3+3xrcesmVTwU0ofYttrtOucg0ieVlAzO8cTeMbj7SkJ9EzIKROQ3AXxMVa8E8DIATwRwpYhcgp57VkS+B8BDUEwstgLglfWUNo1cL2mvQ/H5cIh7A/h6pvwIIYQQQgghhBBCCKkPRb1/bN+f78wv6f27UlW/IiI/gWL+q9f31guAL/T+XwbwBFW9poZyJpPrJe2HAPysiDxIVf/erhSRRwN4IICXZ8qPEEIIIYQQQgghhBCyj1HVvxWR8wE8C8APADgDwFEAnwLwFlU9Umf5Usj1kvZlAJ4C4MMi8joAdwIAEXkMis+Lfx7AtwC8KlN+exKBbofTdMwsz95MpiaMwS67oQlWb7AJf9Zxu++aoyFY15a3LjZT5ob2AzlsiJSdfdUNabMzoadgQzZCIXlWZ7Bpw0HM8jkzy9s//+Pad3jrbttc8JZPa/XDug6Y0BCLDaO5w2y/v7DhYDZsy4aduNhzGQpnSZl91O4bawdumFpJozAinUFp3wp/TiyFvxn9gVvPNjTTqjvckPhxhYtWoREJOXSPr9r5GV57Mcow1aR8A+Fkpb4zRc2RsG1K+acR2x5Hhb2O6yJX204Jra1Fq0KGpso1PhUqiKzqgPFcT1X67HERKmNonBY7NjteajpjnlbT77/tsbv97qzRgtlxpn12We3OD0x3pXvAW75+47Qdyw4AZ83e5i0vNde85QVHoWafY+yziw2172h/e6sSSBsTVLivB9QCKSoESxU1QtPcbquoIFLyDR1fSGcAlNtj6DknJ+6Y2+rHjhj9gTvutGU6bNq1PT5XFRhaB/gKv7025syCTsZ4cj+jqssAXtP7N7VkeUmrqteJyCMA/AWA/+asei+Kz4u/huLz4pi3lhBCCCGEEEIIIYQQQvYVub6khap+rjeb2mMAPAD+58V/o6phszYhhBBCCCGEEEIIIYSEuZOIPCRlh95EYxNNtpe0AKCqHRRfz743Z7qEEEIIIYQQQgghhEwSAqCKnSRH/vuUZ/X+7RZF5nego2AkBRSR0wAcVNVrR5H+XqWrDax02wCAc2aOeutWA65Y61860ul7aqyr6ayZY36eISeR6WisL9Xu28ams844aI27yXXaWM9qpxt2q4aw/izXl7XSnTXpWketX+aW40Ocb/hOns2mXxdtp4xzzXB5DzdPeMvuObFerg3rvDKeIdflZB1RlkbAoRRzXrk+prijrL8+5iuqyztbJZ+mc47s+amUz5h8gbZPCOYbaFPWv5vSLiwp7STlvFuHXIoPMHo8zvp5+O7ojYbfLux13Uy4nnZbhuR9M14/tp6njXxXcZhx+SjH5fKti6lwq9bEuO6LubB9R9ZzO+T1ZsevMedkkgO6prabcv8N+2t3P1a0tRIaZ4acnwBKzyPXbp2x/bP7fAQAxzttb/n6k4e3f/7O+Zu8dac3jwfLsar95wabj30m6phniJPOs1p5zgi/j15w5p9IeeaxlOaMkEDbDPhqd8Jt5yn+2hixeS5SSHPjDjfXRiyfnJ5Wd14L+/y+3PHnRlnf6re3hrnWbFudlZMD1692/RFRe8Z//nXfQUyKz5/se64BcFXdhchNtpe0InIQwEsBPB3AWXDeUovI9wO4GMCLVfVzufIkhBBCCCGEEEIIIaQ2puvvpHuFt6jqpXUXIjdZPusQkcMA/gHACwBcD+BL8L+6/hcADwbw1Bz5EUIIIYQQQgghhBBCyF4h15e0vwHgewA8W1XfLiIXA/jNUytVdU1EPg7gYZny25OI6Hbovw1NcEMtFhvrZp3/Z5v1rsPQvOsAACAASURBVBNiY0JdXBWC3RYA5p2Qm82AogAIh4fEwqfWA2FAlqOdeW/Z3f70meMD1wHAKvqhSjZMq2NCfRaM0sDlnm3f3HHz1iFv+ZSmAgBOm/G1CnNG57DUXPOWDzX6+gNbby3xz0EpVN3ZvhNQIRTbuiHWfj4poT6xcKJQqE9KqN80hG3a43GVH7Fts5Yjpa5Kmo9+G4tdt+7x3dzxrwE3XA8Ih+ylajDc40sJjeuYQPZNhK+ntgTOHwZfM/Z6cq/pnQheI2Nq9zlDDDP9vXfvk7H/q6KY8O8bu09nGvrk/c6w17XVV42LkbaphOvNvRfE7k+pOoQ6qDIOq3JO3HZk22KobYbu+cX6wQqX27b8sO+bNha95S1njGOfn+xzjcVtF/Z5yT6n2Wcm9znnZOBZqyjH1o4/A9Xu1cF9QyoElPUNdbTzmIotRKrCwFtX4TknJw1v7Ou31aXmqrfslvnmLf8aWIff/rpdo/dzrgNbb+3AWJ5jAkJGR66XtE8AcLmqvj2wzdUALsiUHyGEEEIIIYQQQggh9aL09JI85PrT+R0AfCGyzXEAhyPbEEIIIYQQQgghhBBCyE5cDWC57kKMglxf0q4AuF1km/MB3JIpP0IIIYQQQgghhBBCyD5CVc+vuwyjItdL2s8AeKyILKrqil0pIucC+FEA78+U356kCcWCDPaibm9X8kT6+zQa3YHbrnQOeMurmPOWb3Fcq9ZVZ91N57VuG1hG6+y6YfO0gdvebuaYt2x9rxbXtdo1Tkmb76bjhGoZn0874OYEgIbjQrKu0dObvgvXZbXp16l1dZbdnf1ylZ2zxotkoyhcHZDYfXfvEI47ynbvH05Ld7p9RqXyR7xqo6KKp3VdZwdsCczj5MB11ldmfW2tpvWq5XEVp+xrr+lbt3wnd9v4okNO2hC2/mOeO5eQ63ZamMYy10FO62eutGgTHg/jcr7W5ZadREL3Xzu+Dd1H7LhsXD7KFPaa79+eH3sO3OW1jj+GOdn1H23Pnu0/Y9h5LMou3MFzO1g/6kkzBrLzQHQDPls7RnCvW5uOPfbZwPjC3ouD7SLWDCLO2lC+oyKtne9+29RrepRzTOwaU2T3ubRh54Ex7c8+h7pjYfusvGHG0f44efL7krGiqLdKeDr2FLlGc68BcAaAD4rI3d0VveW/BNAG8NpM+RFCCCGEEEIIIYQQQsieIMuXtKp6uYhcAuASAF8Eis8OReQWAKeh+P7v11X1kznyI4QQQgghhBBCCCGkdvg1K8lELt0BVPVSEfk7AM8H8AMovqxVAB8EcJmqfjRXXvuRUHhSU/yw4rZZdmk1w2G4641+SMRKp+2t21S/uRwxocNu+MecCRu2YUIuy50Fv4ym/CfVD9NwWem2g8t+uv6xf1vrVn8DU0Q3PMSGhhxqrPvbOmVcNOvKIdUbZrm/fh3+sfpBJkBD/ULasChv25SwJ8OweoNYPtMQZleFSdQb2PNhFSFuWjdu+XM7ntfyr0U3DMq2a5tuSplK6wMKgNi+bmigVafYvmRJ1gaWq4qGwO5bCq1NaCcTEVZH9iw2lHY/U5cqwPYPe41JuO9XqWPbB4/rmqmkAaqpznOFvds6XjNaJnesb7VGS60T3vLdDly//bMdy1vs+LbljM/tviVFmtl31lE+zZnx0qxYHVS/3uxYyj4T2WW3rmwfFhrLR9tXoAnlHJekaAksVdQj0z62Kqs6+nVxhlXy2YdJm9YE9NGEEJ8sL2lF5CEAjqnqFQCuyJEmIYQQQgghhBBCCCGE7Ady/Tn4CgDPy5QWIYQQQgghhBBCCCGTj9b4b58jIm8WkRfUXY5c5NId3ALgRHQrkoWUcKJY+J4Nm1ntzvXzMYqCFgZrFIq0+qHQVm9g8/HKGJm51B6DG95iw40srg5gw+garts8zVu+Y+uIybcfHufWCwAsNf3m7uoPujN+ect6Axu61D+fHQ0f+2YgZC+mNxhVSFFOvUGobYfacuyamIYZr4c99hjlman9fFzdhlV13GqUJkvNvh6gbZQmXQmH2aW0k1Bbtsdj6+aYEwZpr1uLDTkcFaHroIqWhJCq5Gxv4woDH1d/Po0agmHPwSj7nUmox1i9hI6/LiWIzTflHFVR7FRh2HGaPdZNE59t7+VHt+YHpnX+3M3esjtusdhxin3+cJkXX3ew0fDLuNI54C272rfDgTIAZZ2ci9Wa2TL7zzlWwTB4fBF9JghctnUpCkrlmILxUh0qgVHm6V/j9ffthDg8DcBldRciF7le0n4MwAMzpUUIIYQQQgghhBBCyOSjfHFdI1cBuF3dhchFrj8PvxjAXUXkt0Rk8CxPhBBCCCGEEEIIIYSQ2hGRM0TkZ0Tkf4vIf4jICRE5KiJ/LyLPFfFDJkXkrSKikX//d0BezxKRT4vI8V4eHxORx1Y8hHcAeLSInBbdcgrI9SXtCwF8EcCLADxXRD4P4AaUDRmqqs/NlCchhBBCCCGEEEIIIWQ4ngjgjQC+hWK+qWsAnA3gCQD+GMUL0Ceq6qn3e+9B8fXqTjwTwJ0BfMiuEJFXArgIwDcB/BGAWQBPAfA+EflFVX39kOV/GYD7AbhCRF4M4DOqeuOQadVOrpe0z3Z+Pqf3bycUAF/SDkSTfLM5sK4j18NadkrCLPvr3bLHfEXuepuOLVMLviPKdVeV9rVeK8fPZP211ke5qrMD07KerWZ3cL5LDd89ZX28LVPmWef4mg1/nS3zuvFWhT2f9vwMdhR1jVeoijNqVC6knC7mSaDKtV72NA+flutgW2queutu7Sx6y+vaD5SwTtoUYg5ai3t9xVx1a86yvX5S+xqXlDY17n58ksnZH0yC29Jij28SyxiiLt9miFH235NwfiaxziexTFWx45ogFY4/KZ8qVDlHE+Du7CA8h4SLO9YAgCMd349/vNO/z5/W8sctp88c95ZDHlY71rVOV29fU4clL3/DjMuc7a3rtmNCokOjqYWG78ItP7c5zyrW2W/mCpiNzC3ikuKd3W+e2f2MP77lbFUWme4q+XcAjwPwAVXdPtEi8iIAnwbwEyhe2P41AKjqe1C8qPUQkSUAvwZgA8BbzboHonhB+zUAF6jqbb3fvwLAZwG8UkTer6pXDVH+UxOrCIC/6aW703aqGhCB98v69SHKYHm1qr52mB1zvaQ9P1M6hBBCCCGEEEIIIYSQEaOqHx3w+xtE5A8A/DaAC9F7SRvgmQAOAHinqt5i1v1s7//fPvWCtpfHVSLy+wBeAuA5AC5OPwL8HfL+5eBOAI4CWB5y/zsCWBo28ywvaVX16hzpEEIIIYQQQgghhBAyFSjq/bh4tHmf+uB/N5/j/+fe/3+4w7of7v3/tzus+xCKl7Q/jCFe0qrqhan77ILLVPXSYXYUqRYWkOtL2n2BiNwBwKUAHgXgDBTOjvcAeKn714BxEwoNjIX22dCYlJA3G97SDHzjHwqbKYXuRMrghcLY8pttQ2nZY71565C3PO+EGK10DnjrboUferXYPLH98znNo966ttEdtGVwSPWGCfFa7vr52rpySdEbWHKGKlXBbcuxkPFpUBq4VAmBH2X4vJu2bauLjRPesg1BdClrPfx2nhL2bs+tG4JodQdWaeBuW1aymNB02z843aXtO0N9Yzk8L6yjCLbdmi7FUYUYTkJ4+SiZxuOrI7R9XP31NJyPnNfatGsKRqkKSBkvpZQjlO5oqdBuJryd2Pq3Y+4jW/6Y+/BMf2xy17lveevajeFVTLYcIUGDVabZZhG6zjtmLOW2R1v+9a6/rW1/7r52nd233dxwijsZ437LNPRpKX34uO5Jo1LNESIiMwB+qre408tVd9sHALgngH9X1SvMugUAtwdwXFW/tcPuX+39f5dqJd4bZHlJKyJ33MVmXQDHVPVYjjzHjYh8B4BPArgdCs/FlwHcH8AvAXiUiPygqt5aYxEJIYQQQgghhBBCyP7ibiLy2Z1WqOp9h0zz5QDuAeCDqnp5ZNvn9f7/ox3WHe79f3SHde7vh1YEZOYCANfXtX+uL2mvwi6//xGRG1G4LF66g6diknkDihe0z1fV1536pYi8CsALUHg6fnbAvoQQQgghhBBCCCGETDQi8nwUE319GYVrNrTtYQBPwg4ThiWy23eKv9nb9vdV9UhveVfpq+pv7WKjHV9276JcB1X1+LD7nyLXS9q3A/h2AD+EQq77zwBuBHA2gHujeCP+MQCrKD6B/nkAjxWR+6vqzZnKMDJE5M4AHoHiZfTvm9UXo/irwTNF5CJVXQUhhBBCCCGEEEIIIaPnyxW+mPUQkZ8H8BoA/wbgYap6JLLLMwDMY+cJw4D+l7KHd1jn/n7Ql7aWS1C8pH0XgCO95d2gAKIvaQFARH5MVd+3y3QhIvMAPgjgIbvdZxC5XtK+DMA/oPgc+rfdF5U9/8RLUEiEHwDgP3rLFwN4IYBfyVSGUXJKcvxhVfVENKq6IiKfQPES9wcA/N/hs5Es3raQ/8b6lhrGq+N6JGOOLuugdL1INt2cuH5H66e0PibXV2nrxTqFljvz3rLrcrLp3ra14C2vdNvbPy84LlsAaBvHdse60LRfrmXj4bKE3L7j8kvFXExuPY/SkRTytE6Kr3aULtlRYMtr2/Jmx3HDGhdsiqMrtV7sdb5b5hsb3rLts9oy2F1nvWih/rBbqovdePV7+ZTSHb7tVmlvuTxwo3LbAqNz1Y2yzCHs8eQqx6Q4/eroh2P3nGlw1rpMyrmswii9sy4prtj6vLLDk+LYtaScg3GNJd0ybaj/OHr95mne8tEtf2x8lwM3bP+81Fzz1tmxSajeUuql1LcY77718HtlsPNnyOAy2ft4uxEeT6zrbL8M5nkjNsfHtDGuviR2DYyrXx6X+3b4OSOm6346DgLT80wVIvLLAC4D8EUUL2hv2sVupyYMe9NOK1V1VUSuA3B7ETl3By/td/X+//ddFvOhvf+vMcs5eaeIPFxV/yG2oYjMAngvgB/MkXGul7QvB/B5VX2RXdF7YfvfReT7AbxcVZ8A4KUi8ngAP4bpeEl7197/gxrNV1G8pL0LIi9pB3lCANxtuKIRQgghhBBCCCGEEDIcIvLrKN7t/TOAH9mNnrT3nu97UUwY9rHAph9FoU14FIC3mHWPdraJoqofDy1n5L0i8mBV/fKgDUSkBeDdKD7s/EiOTHP9KeghKCbVCvFJFDqEU3wKwB0y5T9qpk10TAghhBBCCCGEEEJIEBF5CYoXtJ9F8QXtbuePOjVh2B9GtvuD3v+/ISLbIRMicicUOtSTKL+8zYaI3F1ELkvY5Uko3gP+rYicNyDNJoB3AvhRAFcCeHzlgiLfl7RzAM6JbHNub7tTHAew+5jQyebU9/7Rj9wHeUJ6X9h+324ySwlpiIVkzJbCdfqnZNOEH9mwi6b5pt9VHNh0N3RwuLINxwkpC4DwMbnqAMBXFlis3sCGTHll6PplWOm0B2xZrjeLLeNytx/GNa5QnlTqCgceFhsuNin6g2nDhkC1G309wIpRczTV37YFvw9oBkIBLfb8uaGcNizS4pbR9kOldAPt2l6Ltl9yyxQKcyzSCoWp+vVm+3e3v4tpHxbE1zu4xxu7BnKpOaYxPDtnmUNtKpaPuz6qlZnCep4Ecil4xqVNsO2A530wNuS/DqVBTDswDbhtblztzY7zb9w85C3be+xZM8e2f46VMdc5sffIVkofbbqLWfP469a5HTsdaqx7y/Z5yh0TddV/5rHqOVeN0C6NF8J9Y1LofaZ2M6nPROMipR6rPKel3M9GqbGbfgTQOttstbxF5FkALgXQAfB3AJ4vUkrzKlV9q9nvEIAno5gw7G2hPFT1kyLyKhSR9F8Qkb8CMNvb/3QAv6iqV1U6EIOIzKF42fo8AA/s/foFu9lXVT8gIs8D8GYUL2ofoqrLTtqCYm6uH0fxAepjVHV959TSyPWS9vMAniwil6nqF+1KEbkXisr5Z+fXdwIw8ZOG9YiJjg+Z7QghhBBCCCGEEEIImWTO7/3fBPDLA7b5OIC3mt89HcACBk8Y5qGqF4nIFwD8AooXp10AnwPwClV9/xDl3hERuUcv/WegeIcnAL4O4E9S0lHVt4rIOQB+B4X64EdU9dSkLX8M4KkA/gnAo9x5uaqS6yXtpQA+AOAzIvK/AHwCwI0AzgbwIBQnr4XeTGoicgCFw3XXs6XVzFd6/99lwPpU0TEhhBBCCCGEEEIImXam+ENjVb0EwCVD7PdGAG9M3OdtiHx1Owy9d4xPQTGJ2fej/3nx5wFcpKq78t1aVPXlInIugF9EMZnYTwB4PYDnAPhXFO7eY6E0UsnyklZVLxeRp6PwTDwXwE87qwXFF6Y/raqX93536rPmr2A6uKL3/yNEpKGq2zEFIrKIYha3Eyg+cx4axehD6MY1a2vHfO5vw41cJUAsJK0UhuskbWdVt6oBN4TKDYMGgMVG+Gv0jUAZF5v+vnONwbPElxQM5rILqSDqokrYTJVQmFwh1yQPpfA+JwzPXhO2HbfLITIDiYX0uv2WDdu3YZBtGXwt2jBCi9tfLHcWvHXrJozQDbdsj8ncs9qd85Ztf9eescfer6v4vWX3YXUhnUiVa9ie20nsDyr1jRm1MXWEnqYyCedvVKqb2H1uVGO5SiGttbWDlJnD89XbpKsHYvVi66LK+H0SwsZDCiE7njjZ9e9th2d9HVnoXm7rqcqxu9d5SfkWURWFKJ/Lftql8ZBJ1653+zj7nBPCqqPKYyszrnGKHOuHqmh/XFLb/LDnelzPxnsBtz2y1sikICL3RvFi9mkoItwFxde5bwHwOgCfGfYF7SlU9ZdE5HYo3mF+EcDdAHwVwMNV9UiVtHci15e0UNV3icgHUMhy74Pis+JjKD7//RtVXXG2PQrg8h0TmkBU9Wsi8mEUX//+PIqTfYqXovjE+005P3EmhBBCCCGEEEIIIYT0EZGfQaE0uC+KF7M3otAZvEVV/7W3zesGp5DMTwE4A8DDAXwDwA+r6o0Z098m20taAFDV4wD+rPdvr/FzAD4J4LUi8jAAX0LxGfVDUWgOfqPGshFCCCGEEEIIIYSQccPPi8fNH6IIRXg3Cn3Ch1R19zNVRxCRnb6+PYjiTJ8E8Kc7TK6mqvqwqnlnfUl7ChE5DcBBVb12FOnXQe9r2vuh8O8+CsCPAvgWgNcCeOkoPnMmhBBCCCGEEEIIIYR4CIB7AvgeAJ9F8X4uFxcG1t2t98+S5VV9tpe0InIQRej/0wGchaKAM7113w/gYgAvVtXP5cpz3PReOj+n7nKkEHc9+utnHb/jqFxuFuuvHVW+691WcH3Jz6SD3UbWg+m6qezxWFfnJoZ30FbxJuX0IXrp8s+G20yCg3GUuP1DWza8ddaPaq8n1zm3YPa17kDbVtvoe9ZSPH2pfjK3jNb/assU89sOS+l6cvJdavhevjX1y2hZd86BPR7rAFxonPSW3eMr9x3D99Ejc4RG+rdhfZyj6jfHyaiOoS7HaQo5HckpVLkvToLPdhL9tZPgVd2JUfksc6abkpZ77mPPECFSzldXw675w80Tu06r1M4DZY6NJ9z+I+agtWOgFELnx9Z5yB1bpQyxfL3DNcWt0k5y4s9fkND+xtS3jNJ9G7puCdnDPAjAfwHwkwBeBuB/iMhHALwVwHtUdSOw7254aMX9hyZLby4ihwH8PYo32P8M4BYAd3c2+RcADwbwVBQSX0IIIYQQQgghhBBCphrhd0tjRVU/CeCTIvJ8AM9EMXnYowA8EsCyiLyrYvofr17K4cj1p67fQPGC9tmq+n0A/tJdqaprAD4OoLKfgRBCCCGEEEIIIYQQsn9R1aOq+npV/V4AD0Dhp50F8LO9TR4tIheJyFm1FTKRXHERTwBwuaq+PbDN1QAuyJQfGZJQGDEAbEo/FN+Gw26asH0b1t9EIERqRCGuKaEjNnzqaGfeW5434b4paTWc4y3VW0Rv4NVVYojQXgtpccO46gpTJYNxz8liY91bt9z1ryd7DqzSIIQNK2w619us+GGPodDgdfUVJ7EQZDfEf6m56q2zYYTutRdrq7Yu3DLHyuStN9d7Q/3lWzsHveUjW/3lNaM7aJi07Pl09Qe2b7RqhFEpT2y9eaGniX1fHX3luELeU/PJFU4/ifefnGG2k6hKGJUKoVSGEelDqlAlVHiU4cxu2qMMZ95ruG3IasHsGNvec1Jw23JZ+eafr1kZrDGKXXu2vxi2DwhqBlB+FnPHJva5zNIUVwcQLl9oDGefa2yZ3G3tM9GoVFEWe27rUhq4+abouqoQ658n8d69J1DUO3EYbz8AAFX9RwD/KCK/BOAZAH4GwH0A/C6A3xGR96rqE2PpiMi/AXi9qr5hmHJU3T/XKOsOAL4Q2eY4gMOZ8iOEEEIIIYQQQgghhBAAgKquqOobVfW+KD4U/RMAGyg+Lt0NdwNwZoUiVNo/15e0KwBuF9nmfBSuWkIIIYQQQgghhBBCCBkJqvpZAM8TkRegmCNrt1woMvRX+JW+bc71kvYzAB4rIouqumJXisi5AH4UwPsz5UcIIYQQQgghhBBCSL1QOTDRqOoqgD9O2OXC3r+xk+sl7WsAfAjAB0Xkee4KEbk7gD8C0Abw2kz5kV1i3WbWqWS9NJ6X0ChrOuo7DZuBKQytv9H6D4Pp6O69Trb8Ldnylg/PrA3c1zoYbVobnufJ39ceT8tzZg7vW5oGT1CK/zDV6eee65gvq4ovcFSEHJp7DdvODzV8V+yqcaC2nK7H1ottU42E6VFL/i/HybYgG966FKdcs+mX0TrXXKLXbelw8piG2rIZXO+5+Myxb3ZbdnMP151m3b4r3QPesuvvtWVK6S/i52fyGJWPd1Tp5kx7XH7UFEZ5D03xsIb6/lH5aoF6nLV1+Gl3w7gclHXnuRtC80IEffEjPLduG7LXRKvhjy+so3ZQOkD4uSfqWi6dP6dc5tKLXcfWs+vvO9hNatd1TTrrOrvrfCxNxwdbmlfEjLvs89S6M2aw58PWxUKj/+xly2d9ttPgqK3ijp1ET3VKnz0Nz6WEjIiHZkjjqmF3zPKSVlUvF5FLAFwC4ItAMRuViNwC4DQU2vNfV9VP5siPEEIIIYQQQgghhJC6SfjGhEw4qvrxOvPP9idSVb0UwMMAvBfAbQA6KP7u+EEAD1fVV+TKixBCCCGEEEIIIYQQQvYKuXQHAABVvQLAFTnT3E8ohgsbSwlFiIY5Omm1G+FQWqs0cENibajfUuOkt7yi/XBZG3ITCyFyw2xsCLINwXFDvEphuKbebEiKu70NBwuFPrdtiLU5pzZMfBJDRi25wmOrhHnWkW5VRlWuSdAo2DLYa2/BXPPu9TXK8ClXldC14XyRdtx0jsFe8zG1QDhdc7yBYgT1LmbHpqlzm895rdu2fz5rxtfFL3fmveV1oz9wdS8rHV9vYPu/5WY/rXNmlr11th20TQil2//F+vNuIPS0SpsapVpgHKToQYDydTEsVeot530vVI6s+SS0sdBYLtZ/59Ih1KE+AManPxiXWiCkCqiLnHVsj8/X5PgE1QiJuGnNm/uEPb4bNw97y4uOXumQ+OqyURG7LkPXW6ytugqA2Lm1z0xePpF91531Vmdg090wijt3DGTHQ6HnGnvssbGUOw4YpSogpJggfULtcbpHToRMNllf0hJCCCGEEEIIIYQQsm/I9EdwQibvz8OEEEIIIYQQQgghhBCyjxjqS1oR6WK4r9xVVfn17kBkVyEXNvwjGBoTmfXU4q63M25uin/qljt+KIxb9oZ5/18OY91y1tlZ4E0IrwmvajjHZEN0LW5YTSlkzVZFIGSvFM5XmsnUD9VyiYVI1hGemIo3O27CpT+pGoJpJ1SvdakQbH9hZwp2y2X7rFhIZR3h6JMSyh1K15YxeA6MhmXJmX0ZAFbNjNGr3X6/bENN17r+tsc77e2fr9UzvHXnzBz1lk9vHscgyn3/4DZksW1qGmckTtUW1J1PFW3CuK7pnPmkXNdVFABuO8+lPtiJXP1UztD7UYUd51QWjErnMK7xUihcPlaOjr03Z+pn7T3f9i3f2vDvQWfOHNv+OTT+jlHlvpFy/djntpR2XqVdhNq9fU6L4SrtLKH+zpahDV+zYLULoTztGGdcpJyvkKJh72kV9trxZIAOiNoRkXsBeBqAuwNYUNWH935/JwD3B/ARVb1tYAITwrAvTK9EuRmeBuBeALoArgVwA4BzAHwbii92v4BiQjFCCCGEEEIIIYQQQgiphIhcCuBF6NsC3PeVDQB/DuCXAbxuzEVLZqg/z6nqhar60FP/ULytPgzg3QC+S1XPV9UHqOr5AL4LwP8GcAjAU3MVnBBCCCGEEEIIIYQQsj8RkacAeDGAjwC4N4CXuetV9esA/h+Ax42/dOnkiq35nwBuU9WfVNVvuCt6yz8J4GhvO0IIIYQQQgghhBBCphrR+v/tc54P4D8APF5VvwBgY4dtvoTiA9KJJ5cf9pEA3jxopaqqiFwO4DmZ8tuTKHbnzYr5G/1ETXoJjlrrGGqbtm7Xdx3vrPXu3Lx1yFtebK5v/zxvfFJdU2brJGqj75kNuYwA351o63a2Ed43hK1z16UY8ypOI5N4DGPzt43JuZSrjm29jMpRG3ctD3aU2TJuGGf1rPVhOz/b40lxyE1iO7bY43PrKlb+0LmPOTIXjLO23ezXuj2Xbv8N+G7wVPfjrAx2zFVpu3vBUTvpjMqhW8V1O0pS+o+SPzrQ/kKO09RrIOW+WJcPP5eXsYpntopXtpIjtELbzunVDeYTaOZNc+6q+PHdfV0HOgAcnPHvMVef8F3na872ds6LkBM0FXdsMq57iK1T22aqtIPQ86Jdt2mmkAnl21TzTOSM4axH1rYLm0/IfVuFcflg6/LOjqt/cJn8ETXZZ9wTwFtVdaeXs6e4HsDZYypPJXK9pF1EoTsIcbi3HSGEEEIIIYQQQggh0w/fXNeJANG/lejLQgAAIABJREFUbJ8NYD2yzUSQ688uXwLwZBH5tp1Wisi3A3gygH/LlB8hhBBCCCGEEEIIIWT/8lUADxy0UkSaAB4E4F/HVqIK5PqS9hUA3gHgn0TktQCuBHAjirfVPwTgF1F8SfuKTPntTXTIEKxgZIX5g0KC/qAU2mfCUhcbJ7zl5c7C9s9LzVVv3Q1bS97yka3+tqfP+NuudNoI0WoODo8t6w/6uoNQ+PVOuCFUNpzKsuAoG1JDqscZZrhbpiEsPBeTUv9VyhE6XymhmaNSIwAmVNAUdzZy6KFyhcLaW2LD6sy2piCh8G0bgp1yvlJC7+227rFXC7P1942l5dbNUnPNW7fY8P8I7Yb3ufeBnQiFAo6y/YUIncv91BdOCjk1CnWpE2y7CbaxIVUIOzFsf5FS3lEyLoXBuJQFKcdjVV8pjCvUuWvH0VY/5Cx34I+bm4Hr2q6z7fFEZ9ZbPuLcZ87T27x1sxENmotVI1TRYIwKe25T2klIb2DTSVFY2X1tvbUbri7JnNvSuMxvJ25a9lza8UNIbTEu7cAor7062mOSMo3DIzJZ/AWA/yEiF6nq7+2w/oUAvhPAa8ZbrOHI8pJWVd8pIueimEXtYrNaUCgFf1VV35UjP0IIIYQQQgghhBBC6oaTd9XKqwE8EcDvisiT0Pszgoi8EsCDAdwPwKcA/GFtJUwg15e0UNXLROTdAJ4B4D4ovpw9CuBzAP5MVa/OlRchhBBCCCGEEEIIIWT/oqonROShKL6UfTqwHc7xKyhCy/8XgF9Q1eFnjh8j2V7SAkDvRexv50yTEEIIIYQQQgghhBBCLKp6FMCzReRXAFwA4AwUH41+WlVvrrVwiWR9SUuqoZCo+xQou5usG8jzxxglTwODfa6A7yGzHqGW2dd6eFwH0aaGm9Zis+80tA7alnHfrnV9F5WLzcc6iEKuIOv6cb2yALCurX66Ztt5s63rwt1Q6+Gqx7NI+ozKr5fTF1WlnYSu2xRSXFSxYw8dj10X8qbFCJUj5qO07svZUP9oklp3+p5YOh3xd3b7eds2bd24xxdztlbxDwfbn+lnmzK4nqyP/NbOore8YdJynXJV3MQxUq5Vty5ifQedtZONvTYnwVGbcj8K9Qcx7PVSxcNahZAbMsXnmHq/DR1vXV7Z8Jh092Wq61yW7lfWl+q0uUap7fppufd9O5/EwWZ48u3r10/b/vnbZ2/11tl7UBi/jNZx6t0LIg7XUflDS+OjCl2YX+f+fTz2/Omez9iYzU2rac5tSj3Z8UKKb7gK43JjxxjVdZ7W/w1uFzohc3pMFBwSTgSqegTA5XWXowpDXf0icn8ROW/YTKvuTwghhBBCCCGEEEII2b+IyFki8hARWRyw/lBv/ZnjLtswDPsnmn8A8DMV8q26PyGEEEIIIYQQQggh9aI1/iMvBvB+2BCJPh0A7wPwwrGVqALD6g6qft/O7+N3QLG7EItQyBAAQJw07LY2pDUSvhNaZ8O6XC2BDfc42W15y65awNUk7LSv5cjWwsB1iyZEaqm5tv2z1SpYbFiNW69LM2veOqs7mHamMWQ3l8JgVCFqqQwbjl1KJ2N4dor+oApV2l8o9D41n5A2YsOEfLlh1FZvYLcNhVjHyuQenz23ts2M6vzMNza85ZXu3MBtbQilDT21ZXZDocuhtCZUHbtXP1TBLWNMQxIrcwrDhuLbkH4y2dg2Mi79QU7GlW9QZxMZL4dCeidBYRAvf+jYhx//2JD+UFp2W3usm4FnjIZapY7ZOBC6bp9rDs34Y/ubTvY/lPrmxuneutacn25b/GeMQeUFynURF9DlIdf1FNMQ2Puzt685P6Vz66Rtn9tSsO3e9ofNBK1COe3hrotUvUHK+UpRFqRoCILpjEmHwpEHmTB+BMCHVXVH542qrorIhwE8EsBFYy3ZEFRx0v6yiDx7yH15XRNCCCGEEEIIIYQQQobl21B8KRvi6wAeMYayVGbYl7TXoHjROuyffK4BsDzkvoQQQgghhBBCCCGE1IsCtQY28RNIBTB4tvmCWYwvSKISQ72kVdU7ZS4HQTFL4qbGT0l0pk83xEj8kIfoTJlOCIcNijnW9XUBqybk1V22ZbSzhrqhIjHdga2T0AykNsTDDVOLKQqsKsHONutij6/l1NZsQvi1JVcI/06EwnBHme8kMimKg2GJzTIc3DdwrmOh2inh5lXKGCJnaHcolC7lmrB6A0uVMrsh8KXzk3LeM7b5lHPbMneSoKrDltFs6x5/LIQwlw4hVm+l8POAMmNUWE3CftYfDKuMGCfjut8mhdlmLFMs5DisB8inNwjlE1IYxEKFcykMovVUoc+2x+De61JGqKmjWfeYGnY8DqvqcPpK02fZsPzz2rd5yzesH9r++ar1M7x1h5u+nszVntnnDatzCBEbw4RUJPZch9pY6d5lnuOgu7+3LTbWB67bNOOWzW54HOOeI3tft6xrX3Fnz6W9L9rjTVEcpOgNUhQAsWtvVAqDKpqCmJYlF24ZdZ89O5KJ5ysoVAY7IiLSW/8fYytRBab7TQUhhBBCCCGEEEIIIWQ/8lcA7iYirxeRA+6K3vLrAdwVwLvqKFwqVZy0hBBCCCGEEEIIIYQQUgevBfBUAP8VwH8SkSsBXAfg9gAeAuA8AJ8H8OraSpgAX9ISQgghhBBCCCGEEEKmClU9ISIXAngDgCcBeIqzugvgHQB+QVVP1FC8ZPiSdsLYlbvG+InKHj/HpWrdRXbfkvGiO3CddcGuGEetu/6k4yMq0vKPy3U3rXf9bUMuWItN17qPZh0PrXVP2XwWjLPW9STZY7eeJ7uvy7qpi5Cn0K7L6YnbT97ZUTpnUxxYo8K25SrH616LsTZSxQnqljHk8bT5VCHFbTbOtFJoN/r5Wt+mrbeQrzvFXwtE+qmAey9GigPQkuJ7TXHGpRBq1yUyeZiBtGtiUrys43LjTsrxuozqfpvVLZ3icwy6YkfjoC3SDu2bx0Fr942Nw22Zhq0bu1+KjzK1zXfHNE9K6Bia5nnEH6/743F7j7Fj+8Oz/WfsGx0/LQB8Y+Ysb/ns1rHtn8+cOeata89s+MvmucDt75PvKeI+Q5hnooTr2LZH6+8NtdfQHBl2vFBKN+QQbvjrymkNvvfZe+iaxub52T25vLOp/utcZUrxylbx16aUnySyf6cEmAhUdRnA00TklwBcAGAJwDKAT6vqLbUWLhG+pCWEEEIIIYQQQgghhEwtqnozgA/WXY4q8CUtIYQQQgghhBBCCCFDMKYAIrIP4EvaCUIh2yEWNgzDDR3pmg7Aho54p9WqA0y4UcOGSwQiIFJCKw4214Prj2wd3P65rDfwQ18aYsvcL+S8bHrrbEiyW4+rJtzovNZtJt08oaktU94m/HCqDRMWFAqrsSGuKWXcHFN4W12MSmkwLp1B7HoKhdfnLGPXaY+xUHQ3cC4UznYqtcF5+utK7TqUtu3/Mo6IcmkWqmBDkNccHcx8w+/v5k0oYwv++hXn3K4ZrUwMt15LmoUR6kRC+YTUHOM6dykhr9F2HiCmBEmhrnY9CRqCadD85Lyecmk+4hqC0dRrLr0B4F9/sW3dtOOhzv76XEqD2PUyqrDpFOx43NIJdDW2ntzjseus3mC+4Y+jz507uv3zjScWvXXfWD3TWz7SWtj++fRZX42w2b7BWz6ntewtt51njEWjNbNjtNWuDdtvDNzWnku3zdn7RIreIIZ9/tjtup3K4ZWppMfrP4e2YJQLGbuOcalUUvIt5TMihUGojKPSPVl0Cu6vZP8hIhcAeCSKCcPmdthEVfW54y1VOnxJSwghhBBCCCGEEEIImSpERAC8FcAzUPw5SOH/WUid30/8S9qsf2oRkR8TkXeKyOdF5D+c399dRH5NRG6fMz9CCCGEEEIIIYQQQmpDa/xHfgHAMwH8KYD7oXgh+2oADwTwIgArAN4J4M51FTCFLF/SmjfXAHACwAFnk9sA/A6KyvqfOfIkhBBCCCGEEEIIIYTsW54F4Cuq+mwAKF5PYllVPwXgUyJyOYBPAfgIgLfUVcjdkkt38HMo3ly/GcBFAF4A4CWnVqrqDSLyCQCPAV/SDkQBbA5wAoW8kWWHjet4NafY+F9Lrjpn0TptVjoHsFtmTT7WL3VG87izzt/WdRkBwM1bvm/q9JnjA7e1abnHsCRr3rq28dnaMrv1as/LrDkeF+uemrU+KevwSfjrl/UUuv7bTeM9Wum2/W0dL1TMJzou52RdjMqnl+KTGmdau88zjNu2u+aaKPdLZt9gmzN+tpDL06YTcNTaOrTX5qhcnVU8uW1Tcx2nr2mX/Nw+m6Zd2z4hhO2jF5z+cDVhqGCvrZjnOAW3X8rpbB0f4fPhtvMqffB01k2f1Osy1/FNw32vimswVE9VHLSp9yo3r7j/dffn1t43wr5KP123HKl1Edq+5B4NHE952xSX5Zhc+jFvaeDatee6yjwQ882+H/b0OX9s/83Vw97yjWv9OTAOtJa8dUfmF7zlex281lu+89xN2z8v4YS3zh7rkpmLY7nTH4PH7oPz0j+edQ3749vGTb/a7SsX7bOJfSZa7s4PTNfum3LtlZ27zljRtE07dgyN0+rqW1J819Ey1eCZHZdTnB9v7gArpU7uCuDt5nfbDzCq+k8i8n4U7y0n/iVtrhHpcwF8HsB/VtWj2LmJfhXA+ZnyI4QQQgghhBBCCCGE7F8EwFFneRXA6WabrwK429hKVIFcL2nvCuAKVQ39/eAmAGdlyo8QQgghhBBCCCGEELJ/uQ6AO//V1wHc12zzXShe3k48uXQHWwDakW1uD+B4ZJv9jcquwu1iYcS+AsDqDWw4mA1RGRzKZPOxugA3XNaGzpaXtwauswqDs1tHveVuIJylHOrTDyFaaoZ1Bxa3HK2Gn64NGTpvZtnJMxJSPaJQCFtvbggUACw0+nUxKeEYo9IOjIsqSoJpCK21uMdbDqn2seFvYWWL2bekRnDqyrbdgP4gph2wIaLD6g9i+cwmhHU2zCWx4YS/rZs2c3rD9i2DyxEroz12txwL5j7Safphn2vdWaeMfj80qms8ptuYSCKamZS/m4dChSelb4lpdQZRJXQ757FXUQuMi1HVVey6DasEYqG2u9cQhPJMCjkO6A1ixPQGobqweoPwtpHw7MA5SamLURKUGtkxQ0CdYOvN3r8WG321wB3at3nrjm36j6PHN/v3p1XnZwD46rEzveUZM9Y/7Dw32GeGpYZ/H1zv+vc+t/+bjcik3PH5rIa3PWZUZiH9mlUnuPeN5Y7/HHPSbHt6c/Aju1XArevsgC3TmYa+ZdoVBtnukwlKjH2BAhVsZ1ny3+d8Gv5L2Q8B+G8i8hIA7wZwIYDHA3j/+IuWTq67+r8BuLA3gVgJEWkD+GEA/5QpP0IIIYQQQgghhBBCyP7lrwE0ReSUXvV3AVwN4KUAvgDgdQCWAfz3eoqXRq6XtH+Kwu9wmYh4aYpIE8CrAJwH4K2Z8iOEEEIIIYQQQgghpF60xn/7HFV9j6reXVW/0Vs+AuA+AH4NwB8CeCGAe6rql2ss5q7JpTt4E4DHAXg+gCcCWAEAEfkrAD+A4gXt36jqn2XKb0+iKIeQ7IbYDOYpuOFIh2wojwlnmZ856S2HQm5ClDQKjbCGwCoaQvsuOsdgQ5XaZtbTdkm70N/eKgxWTVjQgpO2DRtOCUeMzX5bmk22sbH983LngNl2+HZQhToUBlW0A+OiSnjRKMNu3VCsZkKcjg0Hs2211C+JO2OvT6mt2rryrj+zLqA/GGUIvBt+2Y6EdadoFEpn2km7ZdJpib1f+OVYcPq4VQ3f7m04qZtX0xSq0/X70iPaD5vc0MEhn6Mk2qYmgVgfEKgr24bGFYpfZQb2SdAujKqeqmgGxkVK/U+i3sDmmxqCnDI7vT8r/PDn1obph7e12oTwvmkzyk9e+7R6A7dPs6P+2FjYrYvDM/6zyncvfstb/vLxc7Z/Xj7p18vqhq8Fu25tyVv+2uzZ2z/bZ5wzZn2Fmj0Gr882zxtnNX0l4qZzPK2G/2y1burN6g5C7dzqDkLPmDH1nKuPs8+DG6Vz64z3JN8zqiWlb6mmGhm+DwuXMWMfHUgr5RkppQ/je0FSJyLyfACfUtVPD9pGVY8CeOX4SpWPLKNXVe0AeCyASwHMArgLihnWngBgHsBvoXh5SwghhBBCCCGEEEIIIam8GsCjTi2ISKfnn90T5PqSFqq6BeASEXkpipe0ZwA4CuDLvZe4hBBCCCGEEEIIIYTsCQT1Thw2efETI2cdgBsOIdhD1ZDtJe0pVFUBfCV3uoQQQgghhBBCCCGEkH3LNwA8UkReq6o39n63Zywc2V/SkuFRyFBuzU7JyeglmkQzkP+C8SSFaBn/0nrX9yKF3Jd2X+vZaTUcn5FRG4X2XXa8iQDQMhbDM4wjyvXQLjX88i7Cr4uWU+lr6m+72h3+MltwnLNA2Zu73O17oTbhO6GsX2pUjsacDtpxuWWn3ZWY4tqLpuWUw/YlSW1GIl5Cp85LnktzODb0wnNkldzXg31n1q3VrFBt1tnaDrhiba1tmnLMBfq/Uhmd/sSuO6l+Ti3xN1h0+q2Gmj5Zbb35ZXLzapoTZJ3cLqV2bdtUwLua9bqscK6r9JXu9WTTsX2ldSa7x2/ryTomQ57jKj7Kuty3o2Jcbs5JuKdYqtybY/fi0PHG2kzo/pUyBkjyLFa631bYt0K+IU9martO8dmOC980L2addaQPxtbFXMO/193z0HXbP3919XbeupvMvfjoSd/3+qWVc7d/3uz6Y2x7bm8/c5u3PO+M39vwy2Sx4wsXO+4/1Fj3lm/tLGz/bJ+trFfWXT5p7uNzEp4PxPXb2nTtvW620S+zfdZK6ZfstZfSt8SuvfD1NXwfVsVBG6qb2L5h525CnSf0Wbp3Plok08mbUCgPrpf+888lInJJZD9VjUzUMQEMVUAR+eiQ+amqPmzIfQkhhBBCCCGEEEIImRz2zHeck4+qvlZEbgLwGADnAXgogGsAXFVnuXIx7FvkCwf8XrHz9yunfs+mSwghhBBCCCGEEEIISUZV3wngnQAgIl0Ab1HVS+stVR6Gekmr6n9zLyKzAP4CwD0A/BaAjwG4AcA5KN5q/waALwJ4UoWy7nkUwKY2o9tZbHiiG7CSGu626SS10fCbh1UJ2HCXUgizw1JzbeC6WAiHDds3mXrYkBtXAbDanfPXmfKvm9CfOzqhSxtqQ539et10zsGyUTsMc077ZfLLaMNQbu4c3P751q2D3rpQnVdhEvUGdYWa5gwFrqIwSAr7TKir0PE1bDh2iirBqBFsmYI6hJLexe8fGl7IuL/O1lNKWLvtZxe90xU+d93S6v4vbA2XSuSEL1rtgN23Y/qpOaeebZ3aEMrN0vkbfEyzJnxxXfvalQ3T37VL7WQ8IcrRNhUiUxcXvy4DZbI6ioD+wIaTbgR0FFECOoppoL57weSHfSapBDJepyl6g1GFIJe3nbzw/5yk3Ocnsi5sP2TuK+74o6R+MbqDTUc59l0LN3nrbBj4LesL3vKNawcHbttq+P1u64Cf750at2K3uMdgj2fDtPt5o0Fb7vZVblYtZ3HrzT5bhdQIALDYPDEw3dC1uab+s1db/PKPSp1SSqsGvUGxb+j4wuUP7VtFbxDeN6ZV6KfNL+92gJVSJy9F8Q5yT5DrzvwSAPcDcD9VfZuqXq2qJ3v/vxXA9wO4f287QgghhBBCCCGEEEIIqcKzATy57kLkItdL2qcD+GtVXd5ppaoeAfBXAJ6RKT9CCCGEEEIIIYQQQsj+5UwAR+suRC5yzWx2HoCNyDabAM6NbLPPkaFmYLXBie4sqdEwjED475GOHz6/2PBDXey+S42TTr7hUAtXAWDTic0E2na0CzGVgBsqYuvW7rvSPeAt39Dp59OQY6ZMfhldxUGq3sALYzVhEjbcaKXrL3/9ZH+m2tNnVoP52JnE66CK3qBKSN64ZiivoiwopTUihUEuxUSsOdk6d8PsomoEo0Pw8jJV3DAh/u7sxh2Tbso1YGdbtiGITUd5Mgf/mm+Jv3xSTfhlMMzdzGrtKQvCM2Db9Z6yQGw/69M0Cpc56fc1x9W/vW+Ujrd/fKnXQMq1Wen6sm0qxIi6yrKyIFQmf9uuDfd1CrmJ4ZU6pVwD+Uwqk6AayNavjpBRqUZSr0u3ruKhtaGZ0iOamZR7aMqM81NwrkNUmWF+ZJgy2TJ2xd7L+2Us3ZsD+oOTRgdw+wP+8/yRk/PesjjjgGObftj+9etL3vIdZo/45Wjd3C+CGU90Svdqdbb1i981vqT17u4f3a2Wyh1rWQWQvY/Yvt99HrHXXlCNZfLZiEyqHkords1PQt9Sh94ACCsO4vuG8q3//jo1qGcoqyX/fc6/AviOuguRi1wjjW8CeHzPTVtCROYAPB7AdZnyI4QQQgghhBBCCCGE7F9eC+DHRORedRckB7m+pH0bClnvR0XkRQA+oaodEWkCeBCA3wZwZwAXZ8qPEEIIIYQQQgghhJB64desdfJNAP8HwCdE5E0APgPgBuxwVlT1yjGXLZlcL2lfDuC+AB4H4AoAXRE5AuB0FF/rCoD39rYjhBBCCCGEEEIIIYSQKnwMxQtZAfArCL8yz+cJGxFZXtKq6iaA/yQiTwPwHAD3QfGC9iiAzwF4i6r+eY689jKKPO6XjuOUs85Ci3UFub6ctS3fv9SY8bdtNza9ZddnZL2y1rPjuo7aEtMZD6bk7zHVt67WvNinJR2z7Hsj3TLOmnpaNl6rFA9tyZfl0Ckt+wdkXU6u58qW3/oPqzCsoyzV3Tasd7aKczanR7aUdoVyDeOnHibPYY+/Y+5vzYiIyT231kFrz591yTYD7S+lndt8WyVfm3s9+cezYIpgPbQu3ZBzFr5Pb1Ntmaw7dvD5tG5bW0+ez9a4bmP3hq7nrrP+PD/fBbcPjzS/lGs81DaTry1N6A9T/LUB7P01duxuW44dn71XjAo3n5I7uiYm0QlaxZk+Lsblf67mPxy/J7LKtqPE+kSHHRMA1TyZu02nCrY/K93XQ/kmjAGsZ/WM1oq33G6e5S3PNvol2+j69/zVjm/4O7Llz+PR9J5zhu877XOAbefuM1SjERlbhe6ppo43zL7WjRvad1X6z48LznwlqaQ4aPcioeMbl4M23O/QV0smikuxh75lzvUlLQBAVd8B4B050ySEEEIIIYQQQgghZCLZM68Ipw9VvaTuMuRkb/8JihBCCCGEEEIIIYQQQiacrF/SknxUCWvyKIUM+eE6NozVDY2JqRc2Tej9qpNVLLzF1SHYkFCLDdfZcI4hFurshmdaPcOs0QNYlYCb9jH1w5pCYSZVsMezHtEqeMcnmwPXpZIU/lZJNbD7fcelNBhV+FSlUMURHnuVevXSMX89Dl3XMVVCWWPiXKsmH3vNuP1W22xs9QYLRnlyemPG2dYvw5z412LHCZ/fMsGaVmEQoimx8zP4z/JWb9Cx2zrlsMdj97Vldpfttgum7+w0+uGWLTXaFVOmmzqLGESV0Mbo9ZXSZaeoEYJ5hsuUqkOonZoiG0dZL7n6v7oYpa7HyyehnlLudVGtR+D4YucuV4h/jFGNByeB2LU3umO3CiSTr3P+GqaMKQokqz2bMbqArW4/bVd9AJSP3eop3PFG24xx7D11w9ERrZnjseP+jdJznKtV8J8DbDtf1b6GYNYc+0k7ljLlWOkc2P65pIcrjeEq6FJGFsZfj0ol1NdMyj0/RbXobsuPRstEzG+E7JosL2lFpIvdXauqqnwxTAghhBBCCCGEEEJIjYjIGQB+HMBjANwTwO0BbAD4FwBvQTHHVOmvYCIiAH4KxbxU9wJwAMANAD4D4MWq+u877PMsAD8P4LtR/B3unwC8UlXfX6H8H93lpqqqDxs2n3GR64Xpldj5Je0SgLugOFmfB7CcKT9CCCGEEEIIIYQQQsjwPBHAGwF8C8AVAK4BcDaAJwD4YwCPFpEnqvY//ReRNoC/BPBYAF9BMTfVCoDzADwYxXtA7yWtiLwSwEUAvgngjwDMAngKgPeJyC+q6uuHLP+FkfWKIiZsKr53zvKSVlUvHLRORBYBXAbggShOMiGEEEIIIYQQQggh089UvP4byL8DeByAD7hfzIrIiwB8GsBPoHiX99fOPr+H4gXty1B8Net9aSviu+JE5IEoXtB+DcAF+v/Zu/do2bK6PvTfX9Xe+7z6BSgPUQEFgo8YR7iIQYPQpFHUEB+XiEZBlCARISBeNSLSwWDkdkeHDhh2otjdkWQMfESUFtoo0A2Iz+Yl4SIIHl52Iw39POfss2tX/e4fVfvsOX+zas6aa85Va1Xt72eMM86uvV6z1mOuVWvX77tU75j9/ioAtwC4WkRuUNXTuY1XnZ8fIiKXAngMgFfO3uP35s67C61HD6jqPSLyHADvAfAKAD/c9jI3UdPcGjvdxGQOhZm0i3uXT+9f6r1+wNZdZozD3WmkNkHKl5MZZXP73AzHVB6Wm41rs6dsVuJJ2fNeX+JMu2cyNGNsto9djuVmOR2HyXMc+NPuqp+LefFw98LPNmM3h81MqpXLmrvfNs0HzM2/aitfr9Yyg2kL8r1KcvtK2PcbO+bTebbOqcrs5zYb+5RzHJ80OdQPGfptOjk4vrBNVqpPiwmyYiNsH+xlwybya8dqcu9kuHCYXU7sXGDbf9L0S+PJ4Xoe2Qxx03deNjjrvR45w2/bv8wbZnPvvPbl9i0540dWs836jh7XqWzbRGZt39h1mMqTb7ycijmxbWW2tpVd3lc1c2a9cTO2T5sZtLFpj9q2jq7HgtzwvDb4r8NnLDjLCZ69sfx+YDNcdwb+Oefs/mEO68CeM034pJ3XSadd2/ZzgdhrbmdemTd53Gsrm18bY7eV3e7nI8/EsJ9zLpZd77X7DBCboZvzvIy2MmiB9vKu+yin/672TBxaO6o6Ny5AVW8TkWv6Eb1CAAAgAElEQVQwvY/3BMxu0orIlwJ4LqaxBi9xv2HrTDsyv3ru7P9XHNygnY13WkReDeClmMYmvKzs3XhtuAvAH4vIFQDej+lN4v+31vzbspIjcXZX/a0Avm0VyyMiIiIiIiIiImqVTh8c1tW/lr/Fe3Cz1f1L1ndjei/xegCXiMj3ish/EJHniMjDF8zn8tn/N84Z9iYzTlWq+jkAbwTw7DbmX9sqH+J1HMB9Vrg8IiIiIiIiIiIiyiAiW5g+GAzwb64+Zvb/pZjGF9zPGaYi8isAXqA6LUUUkVOYPozsXlW9dc6iPjz7/5G12j7H3QC+uMX5V7OSm7Qi8ihMw4j/dhXLW2fLlBmkyraiNF7eAqfUx5bp29c7Jj5g4JTc5JRB2rKSnGltOcs2li9Jtsu5bOiX6+w4w21ZzCjj0MmJP9g2ZVt3T/wyIbuujjul3UF5uXl/RfuNI6fMp6RsNacMsqTELre0p+my2owsiC83Z3u1UxoMABOn5M2WDVp2HU8ifUJYfn74Hr5kyz9+Tsgx7/U5Pe+9diMBgnLEIEpAFg6z0QE2LiAWK2PnNXLGDWMhfHYtjZzfHDOxAzlRN8OgRNRf8igWX2NmOzLT7jollW48DRCWSbrHapslyO4xE/aj5hwa63dTh1MqDqHnxhkxQNbQlAqX9I+19oWuyjzb2pdrlhWXqBVpkB+ftHi5JfEGsZL/kvLsTZOKRshio2G8vtP2yYvlRK0BwN74sI/bGti4OL8Pu+/WGe/1qcFhu7aDNtrPV+L8bPrGICph8XvYM/FPdlx3/9w1cQZ2341FJ9j4uJPm3O32Pbl9izt+zevzVcUbtHkdTbSER4nILfMGqOqjG87z5wF8JYA3quofOr+//+z/lwP4YwA/BuA0gK8B8F8xjTj9DIArZ+Md5GbavEyY31+2YHgRETkB4FsA/EMb86+tyk1aEfn1yPy/CMDXARhimgFBRERERERERES0/tb7wWEBEXkBpvfvPgjg+8zgg7/k3Arg21X13Oz1W0Tk/wbwLgA/KiI/p6p7WF6jtSgiz1gw6OB+5PcAeDiAq5vMf9VqfZP2+xPDPwjgKlW9ttLyiIiIiIiIiIiIjroPFnxj1iMizwPwSwA+AOBJs0xX18GDv250btACAFT1vSLydwC+FMCXAXgvDr8p6z+J/lDqm7Yp12H+Dd6Dr7dPALwWwE83nP9K1bpJ+7AFv58AuENV7620nI13EBnQVklUqgxjNHF2CfOU02OmbOa4eXK6+yRuWxqyY57SbUtlvDYkSii9J4ya5dgYglh5y2VD/ynjtsRozy0LUjvf2NNjE/ENwZNoD3+0T0a3kRKWLRltKv0U1OXfrz9dXtlP05LLkuMluxSrYQnfqiILwuVmxEasqBTT7tXJEsRIu4aR09hWoi8JowUO23HvxJY22uUerldbyhi20cSlRMrcR6YfGuniYXapxyVWzudPu23KR7cj68rGTdj15rL9qH2sq410cfu4swXdWUm5fJQts021w90qqfdzhKsi7dPbc6yyv184n7b2t4pK4ihK9DGeJzXf2H6RKtuPT7u6KKal55ux3kree7jcgvejNnbmcN+2MWcDc13sv4d4G3YGi6+57XxPDP2z24O37vBeu9cFNl4omLfz8zGznFNiz6K+M5NjC4fdMz6xcFwbZ2C3tf2cdvHw8B7MMdMm+1llpJHbC2ZVxPbzNq/Pa0WrrOoau+axGDMw12hHKaKlig35Jq2IvBDALwJ4P6Y3aOdFBPwNgCcDuHPBbA46xRMAoKpnRORTAB4sIg+ak0v7iNn/H2rY7Gct+P1k1pa/UtXbGs575arcpFXVj9WYDxEREREREREREa2OiPwEpjm07wFwharevmDUNwN4PqZ5tXYex3B40/W0M+gtmMYmfBMAW2H/FGecbKp6fZPp+qrKn0dE5NdF5KmJcb41kl27MiLyCBH5CRF5i4h8QkT2ROTTIvJ7IvLEBdN8v4ho5N9zV/0+iIiIiIiIiIiISojISzG9QXsLpt+gXXSDFgDeBOCjAL5RRK4ww16KaXzBzebbq9fM/n+JiNzHWe5DATwPwHmEN2+PpJqZtKcB/H5knH8C4JkAfqDSMpv6WQDfhWm+xhsBfA7APwLwVABPFZF/r6q/vGDa38P0rwrWX7XRUCIiIiIiIiIi6q/+ByEtJiLPBPByTFPp3g7gBRLGqJ1W1esAQFX3ZtP8bwBvEpHfBfAxAI8B8HgAnwHwHHdiVX2niPwCgB8F8D4R+W0AO5jem7svgOer6ulK72cbwL8DcDmmm+ZmAK9W1fM15t+2Wjdpl3EMYRRhF24E8EpVfbf7SxH5BgB/BOAqEfmtOTkZAPD6gx1zXaTyb2wWpJutY3NobH7RtsmZvVh2D6c1OX5BLmuUP+2eWe6ek3Vk22QzWnd158LPNqvIZureM9nxXrt5THY9RrOMTBdtc+GCfB9nPdq8RsCs44GXy41d3V7YjrBdzfOXmubOpjKScrKOauUtBfMtyBbMyVhbVa5syXLbWsfJ5Zo2Dm0GamTaPXN8HXey0oaJPNFt8aeNZcXaIRM3lzWRqWszXHed13ZK239MnEkHZjcYmPCrobmYcjPxbAatZTPz3Axbu17sazcLdzdxPNlt62eZ2/fut9ndP4NxW9p3JyZfLOtclljnqf3+qCrph1bVn9e0qizwddCHc92qsh9tX19iVbmR6Ws65zNE8lkHGVmeWHytPwr66MWhkDYL+6zJc90369HNoT0+9K/HT235n/NPDvyHl7sZ96lMWu/cHcl8B8Lcd/eYsZ8J7pkc9167mbT2fGM/E7mf6QD/3JfzPAy7zyTzoSvlyqb0MXe2q2twFzNoj7SDZ0wNAbxwwTg3Y/qALgCAqr5DRP4vAC8D8EQAlwH4NID/BuBnVfWTdgaq+mIReR+AH8H0Ju4EwLsAXKWqN+Q0WESeAeA/AXiWqr7Z+f0AwA0A/gUO751/K4DvFJFvUNX9YGY9U/Mm7cIee5ZL8XgAnYf1LrrJqqo3i8hNAK4A8DgAv7PCZhEREREREREREa2Mql4J4MoG030A02/C5kxzPYAaGbJXALgYwE3m9989G3YbgJ8GcA+AFwH4WgA/COC/Vlh2qxrfpBWRj5pfvUhE5j1VbQjg8zH9Ju01c4b3ycGfERfdXf/q2dPujgP4FIC3zvsLARERERERERERHQHLf8mc6vinAN6pqrbo8nsx3RrPUNU/BgAReROAjwP419jkm7SY1qQf7IqK6VeJ59UDjAD8NaZPgPtPBctrlYg8BMCTAJwF8LYFo/1783osIr8G4IWqujtvgjbYUp5VlYcNTInrbaPLvNcX7xx+UdpGIdjyHK8Ntv1m1BH8GAI34uCMKVWyzjulP3eOT0bHPb7tl/qcwmHpki2pCSINcspDbGm0E9/wmbF/SF5m4g22TeH3yCkBC0qKMkqMSsrS4mWDifk2jFEotaoSKX+ZqzlOg2kz3muqzHNVJqa00S05TF0AfXZ80YWfx3qvN2xsyvvOm2oXt4x/T20/69t2V1WiTXZe5531vGe2j90G7nsfmvlsZ5QcWgO73OC8srhU08Yq+PEH/rBdjV9muPv2xQP/NHrn5OTCcVPaKiG3x5ONDHLlRiXYkt6mckpRgzZU7AOatiO3DV3052Eb+tF3uoI4jUQsSxfajHqode7Lm0/qmmfxckqmDcYt6CtzrgNyxo0d10XXHjZWJhJbZNl1eu/IxB9MFq/Hi4Z+3MGOuT7fddoxNMuJbZ1U622kgbt/3jM+4Q2zn3vcz082nsF+trTnq1h/Hn7eiGzrjvrrdbgGt5r2SzX7EqKeewCAt8z5/eMAfPrgBi0AqOq9IvIHAJ68qsaVaHyTVlUfevCziEwA/KKqvrxGo1ZtFsfwPzD9tu+Pq+odZpS/A/B8TIORP4np0+q+HsB/BvBDAC4B8D1LLuuWBYMeld9yIiIiIiIiIiLqggAo+Bt5leUfQZcAOOP+QkQejmkEwv+eM/4nMc3N7b1af8J+IurkSixFRE6LiGb8e21kXkMAvwHg6wC8DsDVdhxVvVlVX6WqH1LVs6p6q6r+Fqbv+w4A3y0i/6Slt0tERERERERERETT+3APM797zOz/d88ZfwvAvXN+3ztVHhymqjfXmE+GjwDIiRf4+3m/nN2gfS2ApwH4TQDfq5p4rKZDVT8hIm8E8G8wfTDae5eY5tEL2nILprkaREREREREREREFHo3gG8RkQep6q2z3z0d0yC6efcnHwHg1jm/751GN2lF5BmzH39XVe9xXiep6n9vskwzjyeVzkNEtgD8T0xv0P5PTIOFbejwMj4z+/9UaZv6xmbwjCb+7nJ2YrJi3Tw9c6t7KP6qdXMWbQ5S0A6TCTVyMg7PmkxaN28JAO5y8pjsMJt/aIffrccv/Gyz3IIML6fIIMgsNLlOE7McPwnXd9v4Yn+50QzX+Bfj3RyoVOZfVzmzJVlVMeuYY+XNp6VMq5rLadPY7SLM27HHl3sc28xZm6U6jvQ9qVy4kTNp6i+Gdhu4eWCj1PHkTpvIlNw222/kvIux+fvjcbMet2wOsPN6IDZTd/lT5bbYnL7Flx01j7XYvFLHZU52p+3PY+eznDzbErlZuN60FfsAtx2pNqwqp7BWdmzNLNVV9btt5r/2UdOc09ztEbsmaiuDNjVtMH7D/T57XWRcZ8a2j31/A7HX0ZF5m4zaWN9jl3PHeT/TdXtweP7aGfjnsuOD2NU7sOu00T6XI7ZWg2deJF677HY+O/Y/I7nnHHtuTnG3Z05/nf5sUq9Iu2kft6o+uC/PfaCWKLp9cNjRfGjZazDNmP1TEflfAB4J4JsB/K2q/ok74uze3z8HcOPKW9lA02/SXofprvBnAO5xXsfIbJzim7SlRGQH02/O/itM2/Ms1Yyked9jZ/9/tEbbiIiIiIiIiIiIKKSqvyUiVwB4NoAXzn59F4B/O2f0fwngPgD+aEXNK9L0Ju0PYHrD9eDrws+q05z2zR4S9r8wvcv+GgDPSd2gFZF/rqpvN78TAD8J4J8BuB1rcleeiIiIiIiIiIgqOZrfZu2Uqj5HRK7D9PlSnwVwo6rOizo9C+BFAH5/hc1rrNFNWlW9zrxe2UPDKrgG0xu0twP4FICfEQnKD25S1Zuc128TkQ8B+MvZNJdiuiN8JaYb/N+o6t01GpdbwpSSKtMPl7+4FOO8KVN1owQA4Lb9w4flPXjrDm/YQEzZsVuGa0t0zXJsDMGubi8cZuMPzo4PIxlsya5d7p5Z7o7b5kQp7dgr8RosHFZbrOTIlpp1EWGQKonqKoYgJqdNq4ohyFGzVLMrtpzPLRWMFxj6/cd5mJgVs84n5mpqFLm6GkW2V6ocMRZ3kNpe0T7ZRj3A9veH7ycW7XAwhuukHPazNjbCGjrv53hmCf89TqyM7YNj+2ZJ35Ja5zl9gI3bcNdiKs4gJyqhRE7MQlsl8e2eBzMiXQreXx/6+64iaex+vm7Ktl3ONUGqxL9ZNEJy2pw2llx3BefQjKgRO21OTEki/qCp3cl2dPhlxw7DjHYG/nnwi3du915vi41ecuMBYMa1n0eccc1pwEYE2c897jXPGfMZyPaN9pwTG9d+FotZhz7Y6ss1eC2t9S0tfdYiqklV3wngnYlx/hDAH66mReWqPDhMRB4P4LSqfjwyzhcBeJiqvq3GMgscPAHu8wD8TGS8m5yfrwbwNQAuB3BfTM+3HwfwagC/oKqMOiAiIiIiIiIiIuqIiFwC4LLY/ck+q3KTFsBbAfxHAC+PjPOM2fDFf8ZbAVV9QoNp/p8WmkJERERERERERGtMGHfQJy/C9AuZnd57bKrWTdplvgt/8OAwKrSqspIUN0oAAD49uvTCz58/9NMfjpuykh2nFxuaMts7I+U4KbZ06bwTjXAsUShtS4jcklD7DNTwSeLLP9G2rVKYksiCYNyWIgy62ne7KpGqtdyakQTrULoUvF+3jDAY5h+d7jrfNXHjx81Tn0dqSg6dl3Y97Wb0S2H8QfOS0Nh8wjb673fbGb5r3uu2Wcx5M+0Qh6Wdg4x9xr5TW9Zp17nL9i22dHNbFscupPoWd93VLHOcRK79Uts9FpUQjFupvBeIl7yuo7Yiakr2k7zltBUx0bz99mn0OWXtq5JT8t7VObSreIOca62a/WHq+nfhdIn2Bvuj9/7j+8HAmfXJ4Z437I6RH9t26c6u9/p+O2cu/PyAY/7nmvtvLZ9yZ9/fXmT72XiDVISae55Mfg7QxefBoM8qiMXpKhqmj9fcXViH63wiiqt1k3YZXwzgnhUuj4iIiIiIiIiIqD38OiJV0vgmrYjYPNcnzHkAFzD9ivEXA3g6gHc0XR4RERERERERERHRJir5Ju2Vzs8K4Amzf4t8CsBPFiyPiIiIiIiIiIiIaB7BcpGsvVRyk/aJs/8FwFsAXAfg+jnjjQF8FsDfqGq9ULUN12aWbMzAyQ/MzQW6Z3z8ws+76mfDDm1WopMjaTOEdkzG5LZ57WbH2mnPTvyc3PPjw1382JafSWvzAK2RLj489kymXzx3rGIWWkFWU06mXEmubGzaVeUBpnSRW9VmRlQfMw2rct7f0PQHdj9xc6k/sX/CG/bQLT9vbmzqkkZehqu/TgdBturA+Tme8Rlk1HrvZ/nT4sC2V23/5w93s/hsC++axBJQATch1e5dtsXuehzarFsz8l4kw/Uz+xf745o+2MsJtzl9idw+dz9JHf+1jqdB4hxj+1K7j7li/WrqXFZLbi7uqq5j2jqvtJUrWyvTtE19uViP5c6OO8pW7mpbt3VdFoxb7fpIzOvm87Xr0WbULuuioX8N8HdnP897fd9jZ/3XTibtI4/f6g07KX6+bSy33q7TWJ9tz+v22t1uS/f649jA/5wzcD6XAcBAUuf9xcuJ7RerelZDzX2oLTltzMnVbqsNVklWNvHBYV0SkTGA16nq98x+9YsAru2wSUUa36RV1ZsPfhaR6wG83v0dERERERERERERUUvuAfCxgxeqeheAu7prTpkqDw5T1WfVmA8REREREREREdFaUHT74DB+i/fdAL6860bUUuUmLdWhKgtLkmKlTF1FI1huGz+255cQ/aNjfplQrDzYllrY6AT3/dp4g3NjM64zL1tKamMUbAnO2BndlnfYuANXKlagre2VKnfLURJZECt7aqt8NKWPZU4ptdq8EaVJbklYosR1pIfH9WfGl3jDHjg8572269hNC7Alh3bf3Z0cnj6DcsSM0lPbF9oySDfi4Lj4pYwjMf2SiRK4BIflmGFpvd+mUXDcLi7DS8UfuFLr4rPjUxd+vnN80p+v2Qbu+7fvJxZvYIfb+cbaWHL8DFJlg6bNsXiEWHnsxGz3WGxCznytNq81ykpg65xzwvnWK2vftDiEHCUlvSWRBk1L4lNKzs3RaKzEtiz5HND0GAkiC4Lr5Obrwl2PqXJ526d52yB47/7+NpHF51u7b95vx8QdbB3GHdx/626zFH+5Z8znERvd5k/rt2PsRS35n2Ps69jnJ9ufX7p1dsGYodQ5NDautaoosFr9X1fRXm31bzXfzzqcY4hmXgngDSJyhar+UdeNKVXtJq2IPAjATwP4RgAPBrAzZzRVjQR9EhEREREREREREaXdH8CNAN4kIq8H8JcAbsOc7xir6n9fcduyVblhKiIPBvAXAB4A4P8AOIZpJsR5AF8yW857sMa5EERERERERERERC4+OKxT12F6Q1YAfMfsH+DfpJXZ66NxkxbAzwB4IIBvVNU/FpEJgGtV9eUi8oUAfhXAQwE8qdLyiIiIiIiIiIiI6OjaqGdk1bpJ+40AblTVP7YDVPWTIvI0AO8H8B8BvKDSMjfaOmTQxgTZRpGcWZvves/kuP96fGLh8LPjY94wm1t1cnCYYehmSwHAtuz7bYxkUNoMqFgmlJWzvUry81JSmV8x8cyybnL7SpZTssycfL22spxq9gE1s4ybGuRkB4rNbF2cPWr7Fpu7avcTN4d2N5HM4/Zhdh3uJaZ1+4+cY/6SgZ+puw2Tq63+64kctstmcA/VX+c2z3aMw/7xuFnnu5H1aHPSds02cLN8AeDM5LAPt208a6Z117M9Bmz/NjLbwM8/TOSGV8qoTWfS+usqNn6QXxvph8bmcIrmzkr/ridyz1WrOj81nW+b846dC9rs23P67LauWYeJc3HzJNz2lGyv6LQZx0zJcwVS3Glzsr9z5gv41/rBfO1ynXOdbdOxgf854MRgz3v9oO07Dpdp9vm7zWcV20eflPMXfrZ58jGpnHp7bvPOm4nA+Nhnl1iO+3R47FkVLfVva5itmtPfpfqwmK76N/f9aUFfQVSbql7fdRtqqtVjPRDTmIMDYwAX7qyp6r0A/gjAv6q0PCIiIiIiIiIiom5ph/9oo9S6SXs3/AeF3YHpw8NcdwH4/ErLIyIiIiIiIiIiItoIteIOPgbgi5zX7wVwuYicVNWzIjIA8GQAn6y0vI21qNwpp3yipFQph40WcJ2d7Hiv7xyf8l5fPDws23XLXafT2tf+vGIlK7Z06dKts3OXCYSlSXvm7bglRbZEKCwDisRTFPwtZGXlORVLlWrNa1WxHtkloRlRF13oKg4lp9+xfcfYDLclYBNnnQ/s+zMv3WN1d7LtDTujttTe9C3OzGzcgT2O3f7BxirEolNsuz5n+sbzps1uWfvnb93jDbOvj4tfqjly1qyNN7AGtnjOafJE7Rbyuce8jSiw/cGdk5Pe63smh3E2dr0dN5E07r5t12n42l/uxJt28TCr5HhKTTuxpY7ufm6PgUg0go2YCMQOTe1fUXjuOXMdynBXFWFQ61oxdn0HhH32KsTOC6WyIncylEROlMQb5BxDsXnZ6+Rxxc8XsWgEK+gPnWlT+6or2Seb93dqcBhZ4EYcAcCdY/9cZm1vOecv00S7X7jby1637Kp/nWKH++P6w1IRBv64y8dTrOpzQDDflq5vu4r9KunD2uqzUvoQkdZr/EZrp0TkFIAfxjSK9cEAjs0ZTVX1S1fasAZq3aR9M4DniMi2qo4AXI/pU9PeKSJ/BODrAXwFgJ+rtDwiIiIiIiIiIiI6okTkMgDvAPDlmFb5X4JpJf8ODmNY/x7A8iHhHar1J6nXAHglgM8DAFV9LYBfAvCVAF4M4LEAXgfgFZWWR0REREREREREREfXT2N6g/YHAdxn9rtfBHARgMcBeBeAjwD4sk5al6nKN2lV9cOY3qR1f/ciEfk5AF8C4LSqfrrGsjaZYnEpx6oiDGqx5Su2LMgtybFRAvbJ6LZ8x3VyeN57bZd7qYk4iLFPTI21sWZZUI7YcmzJa5tPqvaW04PSTCtV/rZux1OJkriNttinz1uxJznDlD2OJv5xe945Ds6KX+Vy2/gSf1pzzLuxBanIArdPsPux7S9u37944fDRJB6l4rp333+a9Oe2LvJeP/zYbd7rYeQ4sPEGtpR4d3xY0GyfTL0jfrGz29fYdWr7IRtnY+MdXNsm7sBb55HtMe+1F3eQKnmN9Fs1yy1jy7GxHjYawY07CKIQzLjj4GnhztPOzXq007ZlVefFmhEGbZXl1tzfakUvpfroVXGfbF9UGtzD+IaUkm2Zc41j+wBvOYn52OXEYmVK2GPP7aeC92pexj7o2vna84Z7Dg3OXeaziS0/d2MJRhL/uO2uZxsBZ7dPLH4tFW+QEw0T+5zTZkRBrXL6rqK/rKbRHCk5fZa9vovON2O99eQ00SsVNzHleyqAt6nqtQAgMj32VFUB/JmIfDOAvwbwEgAv7aqRy2q1B1PVz6jqn/MGLREREREREREREVX0RZh+W/bABE4mrar+A4A3AXj6itvVSK1MWiIiIiIiIiIioqND0e3Xi/kt3rPwv2R+F4AHmnE+jekDxXqv0U1aEfn1hstTVf3BhtMSERERERERERERAcAnMP027YEPAHi8iAxV9eDm7dcDuC2YsoeafpP2+xtOp5iG+dJcsjBHalW5kkM0z6OL5djcZTJp75kcLqckS3XbZCNuD/aWbp99bbNvR9F8ynh2U0ytrLqakhmNGflmOftqa9mwBX9NjOWz5bK5n12o+X7aYtfTBEMz3MnQjOXVTie+YNtk0n52389wtfmp7vEW9BeRXLjbR37m7LnJDtqwb9bL7SOznuT+3usHbN114WebT2uzBo8P/NxZm0MbM8LifF7br94z8XN17xkfvrZtsP2se66ww4JM2sny29Zqq7/LWU5Wdl1GBi3gHSJZ+bUlauZTWjk5i03nA6wuZ7YPWaR9UesayOaF5ii5Li5Rci1Vsm1jObSxDNqU2LTZ2zmy3IH5XBDNZrcZ98EzMoZzf54nyHXXw+uAbdh8df/85Oav2223O1n82cRKZcK7cj/XlDx/Ytn5BPNd0fMjVvUZu2bWd06/VJLnHXd0nu9Ba+FmAP9aRGSWQ/s6AL8M4A9E5A0AngDgawH8SndNXF7Tm7QPq9oKIiIiIiIiIiKiNSIARLvLHOAtc1wPYAfAF2L6rdprAFwO4NsAPHk2zp8A+OlOWpep0U1aVf1Y7YYQERERERERERERLUNV3wXg3zmv9wF8h4g8GsDDAZwG8Jeq2n2Z6xL44LAeUcTLWJrIKplEvOTDllbEyo5tOYtb0gr4MQXbA1MGZMpUbQmRW56UKlBx22hLqG1ZUFAuq4tLeEtKGWNtTKlVkpNbQtS0dC5WNjd3OSsqbVqdw/WWeyw2VbIOU6WLtjSwKbsuxkiUEbpxB+bYs2Ws/jF/wiwnXs7nlhXeO/ajEuwx4O7bqRLQWust5C/nU+fv4712+zBbtn7MRAtcrLve68ngcN4j8bfPriwuv7SlpWcmx6Kv3WltSagtvXdbbNdxGHfgv471nbFjps2S8Nh5JFWe7U47MOvCnjPt3ufujyXRCDlyyqJz1Yo0SMYQdBBhkOrPY/tn6vzbx/Nt7rnBFStrn7Q7pUsAACAASURBVGScflPxO9FpWzzPl/RTuddiyyxz7nKw/HkxOp/UciODbR+25XzesH3jfvCZyz8vum3eScQoxNpsIwvstO5ybF9iz22x6KWsdZwZb7BukUFtanpdUDMCLadfagufUzUHV0rvqOotAG7puh25eJOWiIiIiIiIiIiI1paInALwSAAXqerbu25PE/1/agARERERERERERGRISJfKCK/A+AOAH8F4K3OsK8XkQ+IyBO6al8OfpOWiIiIiIiIiIiogRUl29EcIvIgAH8O4AEAfh/A/QH8M2eUP5/97rsA3LTq9uXiTdoeUUj9/Lua2ciSaJuzrFQul5ehNIlnTNocPJs3tWi+ADDC4qymWAYt4GcupXKPcjKVusgVS8nJdSrJvMpRM2tqVXmwUYkmxPbrHLnrPGs9Z2z72DofJp5+ao95t40DMe01s3Kz3s6P/Ry4e002tjWauMd84ljMWM8297M1Zl38/e5hRu2xoZ/3arPRHrRzl/fayzw1M94Wf14xt+9f4r8eXeS9dvvO8ya3L8Zmztr+Oyers6tcu2Bfdtj+wGbCe4VQNis2te86w0vya/uiJGfWm0/imK51TdBVzmx0PfXkudCxc0MqEzn23nOuAZIZ6QXZt7UyKWteKzbdZ4B5uaYZy/UyTjOzb53xY9sDAC4e7i4cZs8j1p3jkxd+Pjk47w2zGbV2v3HbaJ+BMTH7wa5uz/153usgO9bLAY7n4ceyb23/Fwx33k+tzzzJaSt+Jm7r81NWG1aUI5uTl5yaNkZ7ct4gmnkZpjdh/4Wq3iQiL4Nzk1ZVRyLydgBf11UDczDugIiIiIiIiIiIqAnt8B99M4DfV9WbIuN8HMAXrKY5ZXiTloiIiIiIiIiIiNbNAwB8ODHOCMCpFbSlGOMOekTVL7ddVrSMKxVRkCMVneAuKzFuTunZaGLKhNzynUhEAWDLqRaX7gBh+Y47vC+lZcFyWyo1aSv+IJh2VaUyHf2F0ZaJx9gC8lRp57I62z7mrbvrIvleg5I9Z2Y23sD8YvlC/PjxkyxJLliv0flmrPPU/uX1lWO/H7Xv/VN79/Fe32/7cPxtU9YZYyMLPrF7nwVjTl20tXfh593ELj/xykeHC4dNXzcv7a5VNp0U2Zcn9pgY+Ov1GEaH45p1YdtoIw1cwbSmUTlxAbHltMmLIcjss2LvL3WNEBs3GN4wwiC3Hyrp02LzbUtQjh1p/yCxbWORQakYgphY/M50eJ0ohZwy49zS7VrbPifewM4nLKdfXKafZ/l+5479+GfznHPdXkbEjn3vtt/dc+IQUlFsOesq+PxU6TNRSk5MQUkMwaqiilbVH9aScx0M+H1czjpNJJcRrdrnAHxRYpxHArhtBW0pxpu0REREREREREREubTjB4fxpvmfAHiqiDxQVYMbsSLyCADfBOC1K29ZA+v1pyEiIiIiIiIiIiIi4CoAxwHcLCJPAXASAETk1Oz1GzAtvfgv3TVxefwmbY8oJChrWYZ9Gm7TsgXLlnDZMi1bmuWWk+3DllBOzOvDke17tk+xLnmKaMkTvr2noBaUfXdVYlhSql5WflRQXt9S6VLNEuWcNuYsN1Xy3zcl2zn3vbp9jS3HjpV1xZ5sPE/smFnVk4HbKqs7b9ZFurT24qXn7a6bc2O/LP/ceMd7fWK4h0XstJZ7riiJo6gZ45EjFU/h7st23x2Z8/zIiRfaHpjzq4kbipXwhuf5xVJxBraEd1VyIguCaRtGGNhri1T/MGlY2p0bzVFrv19VfzfMiXeJXOsCiaiEgmuAcXCNuvjaNyUWY9Rm6Xatfa5kfwuvuZsft7545Ie7zu8cnfCGXbZ91nt9n+0z3mu3z7PnzNTntTOTYwvHjX3OsevFRhZY8euWxZEFqTiDphEtQfsq7tc1r49qxcWtKnKhVc56zekrdVWRdeuE32btjKr+uYg8B8A1AG5wBt09+38fwA+o6v9ZeeMa4E1aIiIiIiIiIiIiWjuqeq2IvAPADwP4WgD3A3AXgD8D8CpV/Zsu25eDN2mJiIiIiIiIiIhoLanqhwG8qOt2lOJNWiIiIiIiIiIiogY6fXAYbRTepO2Z/Ul+pttEbN5rnYwYm3VrxbIgrVgOV4lUPlFOtlZs3qkst7by29rKp6yaEVUxk6i1bKfIrpzKXypqU85yI9s6lWW5Drz9xLzXvKzO+LheX5PKoK2WiVdPyfEUa/NA4uvC5sGe2T/M08vJ9rVtsNvLZtROvCy0+HLcdZOTb5hqY4mSrMvoeTHIEjTHjDPtsYF/Nr5oy8/9HZkmum0eZzR/HbL3SnIWg3nFMmkzM5GbXou0maPd1vVFjlSeq7uf23WYyrN1zys5ubGxNgBl2bc23zbGZt+WyMnfzNkfc/a/nPNG1nnQrCY7r7v2T174eWQ+Y53YGXmvj4vfl7r7kH0/9lkb59U/h7q5s2fVnPdMP3R2cjjc5tfGMrdT7Ly8bOyCXO1wWD+yYmudo4qerbHuOa32emEDPn/Q5hJJfLhZQFXbuTFVEW/SEhERERERERER0ToYpUcJKNbgHmjvG0hERERERERERNRL/OLxqn0Cy6/1izB9kNha4E3aHlEIRg1KLIKSr5Y6iD6WPOSUleRGEnhxB6kyoI7KW/pQ2lO23IKypljJYQ/31ZSSsun4fHtf0VFU2milyvqXtarS7qKyuhbbuJceZa6twdh7bY9F+9o755l1YeN/YvtJZ6X4BVEqg4w27wf7yeG6sXEHwblObATA0ov124D8OKYDtjS4LakS3pz9JHZspkpyg/LtWKl3QWRBuNzlr1uWbcMq2f5h4pRr2+PJ7sf2XJdTNj2MHKuTRERBF7EKNTXdN4FUJEg8eiRnOdF92Qyyy71zdGLp+dp4gF0TYeAaBlFz/sa/c3L8ws9nx8e8Yfb9ujEMNrKlROz95fRR03bVicxIT1vpGq7i8ZPTD6/q81QfYpvWIQKJNpuqPjQ1johsA3g+gJfMfnW6xSZV030gFRERERERERER0RoS7e4fhUTkaQD+PwBXYfonvR8H8GWdNmpJ/CYtERERERERERERrS0ReRyA/wLgazB9/vQvA3i5qt7RacMy8CYtERERERERERERrR0ReTiAnwfw7Zh+c/a3Afykqn6004Y1wJu0PTJRYG+S3iQ292h/wXiUl0kUzcvKyBjqa0bP6vLN2llOH/KXWlWQbRmfr7/vrmNer8vux+v4fpoei33pW2w73P1zMvGHbdncPpu7OFn8noJM2oJMw1py9reS4zaVJb3jZP+GWZ3Nc1jbs/w5NHe95Zy7a+Uqpq4JSnJmoxmhBfn4Re8nYx9qa79PHXs5Gc+pfNscTXPfbQ5uKvvWW2bBea9mzmw4fPk+ulY+NEze9fnI56g9c045N97xXp8d+q89ZvPswGaB+210819tm2z2rc3SduXkeacyufe97Nu2tkfZ+Tg3h3thG1aU97/uzyQBkPUsG7fvXL+r75apTv91ufwjSkTuC+BlAH4IwA6APwXwYlX9s04bVoA3aYmIiIiIiIiIiKj3RGQHwAsB/AcAlwL4CKbfnP2dThtWAW/SEhERERERERERZRJ0+wCvPtRMdeBvAHwxgM9herP21ao6jk+yHniTtkcUgr3xEnEHK+oB+lEiWU9uSUpe6U+dUsBVrfO+btu+tqsLOcd5W+P2RdP9oq/vta2+pa025AjKiAc2/mD55e4XlH2vSmwfS5Ukx2IJ3DgDANgZ+qW1285wO5+RrctNLLep1o6virMN13FknyooAw+Xu/rIgpLlpt571jVOwQaMRRak9res2IGK8UI5MQuuSYvnp5x1kbPP1IoQSy03h53PfkbJ770m7gB7F3kvR1vnLvxs4wGOi98n76r/+e3e/eMXfj6v2/58J4ujEbbF7/sHGefM4FxgYxWc4bmRBavq/3LaVEtum9p6f+tGj+ptQeqTh2B6RhcAPwbgxyTdZ6qqPqTthpXiTVoiIiIiIiIiIiJaFwLgvrN/G4M3aYmIiIiIiIiIiJroZwHfxlKtVJLRQ7xJ2yOqEjx5dJ42S3jXoUyjD+W/JSU3bT6Vd+n5rMF2tkra3Ney9yinycn2u+Nm7l9ruW4cq3rqeIk+lvcFyylo475Tujk2ZZwntkfe6y1ThpsT/+KVara4XnKOoZJ9ysY57I0Pz/+XHduNTuuXnvrXDYNEuW+1dbeGXUfOk+tL4gFisiIYcstwG0Yl5Jf7No8liI0ba3/yuDTrseRay5tP1vtZPmagVvvmzrvS9WzNyIJVXXfGYuO2TIzMvv3MZV6Ocfj+RhN/vttDf1537Z/0Xp8bH0Yc2NgBu1xvG5hVOsyIbxgFfZh57SwnFV/QVn+YF/fU3v2Xtq7LavazrlQ/1MXnOl3Dz5JE64I3aYmIiIiIiIiIiBrIiUYnitnYrwgTERERERERERERrQPepCUiIiIiIiIiIiLqEOMOekSB5TJpVxQEt6osxFy1cnfycpH6mYfaxbrYBOuWw1qS8ZeUk3275mIZp0B7778o+6wHx2aqDW4OrT1v7JuM2uBPw5FVntpeq5DaJ2LnY9teuy7s8ONb+xd+ttm9lptpOOnpcVtre5Ucl8lMTWd/rZm/mdOO9vIcU++nnezEtnLCc/eDWv15VkZ1RxnpNgu3LDPZ6c8rZiKHy2nnujqal2zzXc16G5v2b8th7uzxgZ+vfn6y7b12M2inww8/Yu+bTNrzJjc3lhV7bLCPGG97mfbbeeVsWzsvLxO+xSziPjx7o+a0tfr+PjzPxOrnlUeHFN2uFG6QjcJv0hIRERERERERERF1iN+kJSIiIiIiIiIiaqCnhU20hniTtkdUBXvj+XEH61CG3EUpaskytaScJVI6YktSxgvGOyDOti1pk1Wz7KyL/a/NiAm1JW89IA3L96ySbbUO/Uyb2urDNi2WJKefSpX4u/tcH+INrNxjwm3zyMQX2fV2fMsvn90ZHJ4t9m05acYTg23pcy12Xaxs+1TslmJlusH+t6LS7bail3LLmZsuJ6VpaTrgX0/lXqfUOm+2Ft+QuWPHo1XSUWnLqrXfr6p/SJ03Yu3YGvhX6DZaYOj0pbZfvWf/lPf63HjHez1y+pp9cy7Ym/gfv/cLIia8+ZjllEQW5PSHNfeDPlyH2fcaPfYSx4u/zvP2Vbc/sX1LzfNx02lrfmal7onI/QB8O4BvAfCPATwYwB6AvwZwLYBrVXXijP9QAH8XmeXrVPXpC5b1TADPA/DlmN4qeTeAq1X1huI3siF4k5aIiIiIiIiIiOjoeRqAXwFwK4C3Avg4gAcA+A4AvwbgKSLyNA2/6fReAK+fM7/3z1uIiFwN4MUAPgngVwHsAHg6gDeIyPNV9VUV3sva401aIiIiIiIiIiKiJnpYqZnhQwCeCuAPzDdmfwrAXwD4Tkxv2P6Ome49qnrlMgsQkcdheoP2IwAeo6p3zH5/FYBbAFwtIjeo6umyt7L++OAwIiIiIiIiIiKiI0ZV36Kqb3Bv0M5+fxuAa2Yvn1C4mOfO/n/FwQ3a2TJOA3g1gGMAnlW4jI3Ab9L2iAIYT+bfN0/lmi4Sy7lMtqejfNSacnJ2ar3fnAza6YKXn3dRjm5kWjtf28am+19Nsfeeaq/NbnKHlxwjNeXm0y1Skrc76WhdlGTh9iG3NFdbOV6r6mdjuWnW2OTe2f3TPRa7Ok/EpI4n22b3HL67719iHd/y8w63Bn7GobtegyxfyVk3fi5hUU51Qb9Ua3vaNpTMt1Z2Yhf5f0DdnNyuMkNjgpzFWP5/xUzGQaVvP3WVCd/VOXRV05Zsay/f21wcXrIdz+92z193jPwM2tv3LvJe2wxyd7l7Y/9csGfHdfr7PbHDlu/PUzmyJX1c074zJ7M1Z1hNucuJZenH2M/4OdsnyKStGdYeaVOM9vCarWs9+UjZhoOHKOzPGfYFIvJDAO4H4LMA/lRV37dgPpfP/r9xzrA3AXjpbJyXFbR1I/AmLREREREREREREQEARGQLwDNmL+fdXL1i9s+d5iYAz1TVjzu/O4Xpw8juVdVb58znw7P/H1na5k3Am7RERERERERERETr6VEicsu8Aar66Ibz/HkAXwngjar6h87vzwL4WUwfGvbR2e++CsCVAJ4I4M0i8tWqemY27NLZ/3ctWM7B7y9r2M6Nwpu0PaIqQblME175dotfu2+rZLdEF/EGXWpaCpSu7LPxB40W02C5TcXbq5H6k5K4g5ISQ2tcsD+676GkFLit8qnUckree0wfy+eB1ZXwraqPy9l+fYhOyZGKALHli/vjw9dDM+32wH/3NtLA1WZEQc68a/Zxq5B7bGWV/7YUs9DWfFYV31CipIy9ZjxA0XmzYelzwLydVZ2Pa6oVx5HaL2LrxrbB7WcHw0R8jVnOSA8/k+XEG0yXO4wMM6+d4ZOJ3wYbjZDVf2dExeTEo5REqeRcl/T1Gi6Huy7se7frKTbcbveczy45+0ze5+ilRz06NmydiMgLMH3Q1wcBfJ87TFX/AcDPmEneJiJPBvAOAI8F8GwAv5S52A1bi83wJi0REREREREREdF6+mDBN2Y9IvI8TG+wfgDAk1T1c8tMp6r7IvJrmN6kfTwOb9IefFP20rkTpr9pe6Qs/hoHERERERERERERbTwReSGAVwF4P4AnquptmbP4zOz/C09cnMUefArARSLyoDnTPGL2/4cyl7WR+E3aHlEI9vbnxx3klJtvenliLetYplGr9Ce7DNpZVzklNl1FSoiplIhta0kcXPEn18endddVal2UxC6g0nqOxULkir2fdShhW9W+21X/l7IJcTDLih57methODicl52vLXm1Za1udELNUsbY8L5EH5SUdq8qhmBVT7KvtUyr5JhuK0anJOomFUXitaEgVqHNeZUst4/aivXIiafYG/ufo8ZOv7s1mESX68YbAMC2Lh4/Fm9gh9v3E4tkSJXAW+65oqSsPSi1L4hGiLX5qMXSucJ1boZj8TYpimYzfXDsY0/OZ2Ndg2v5lVKg02660rJF5CcwzaF9D4ArVPX2BrP52tn/HzW/fwumsQnfBOBaM+wpzjhHHr9JS0REREREREREdASJyEsxvUF7C6YRBwtv0IrIY0VkZ87vLwfwotnL15rB18z+f4mI3MeZ5qEAngfgPMKbt0cSv0lLRERERERERETUxDqW6c6IyDMBvBzTZ/y+HcAL5lSbnlbV62Y/vxLAV4jITQA+OfvdVwG4fPbzS1X1ne7EqvpOEfkFAD8K4H0i8tsAdgB8F4D7Ani+qp6u+LbWFm/SEhERERERERERHT0Pm/0/BPDCBePcDOC62c+/AeDbATwG06iCbQCfBvCbAF6lqm+fNwNVfbGIvA/AjwB4DoAJgHcBuEpVbyh/G5uBN2l7RBUYTeZn0rpSmUOx3Bqb72PH7SoXrg/WMfuoVv5Xzh/+Uhmuffgjom2jzVr1MrwSDbaZeTn50Fl5lhnjtpVNV5IPaBVl7K6BWv1FXzNpa+mqP6h1nOYea+72tHlS+yYrMTj/ZiwrdnwlM2qd83zN7Nu2pm3TqjJpm/YXbV5Xrarvaes95FyvakFHZI+RPvbZfTy+aq6n2PuzyxmbrFg369vm1e6Zz1zHzOvzzj528dauN+zMvl/lG+TOOq/dzNl5r91xbftT2bFNr7VSfVJsuelM2uXbkdM/9OVzWq1nc6Qyav1h8YTK2HIGJos56/ooWM78n2n9qeqVAK7MGP81AF7TcFnXA7i+ybRHBW/SEhERERERERERZRJ0++CwfvwJg2rhg8OIiIiIiIiIiIiIOnTkvkk7e3rc30VGeZ2qPn3BtM/E9MlzX45pqPK7AVxdKz9DVTDanx934Jb6jBPzKSkzHgxW8yegvPL69toRs25lHKsqA0qtl1rtsPtxbL7hPm/KE83fF92/To2RWTrW0n6RU7pZM5agLalYjFpKyjzbKlst6Tu6io2x+9+6x9fkHKexY6/kWEtNa4+R2Lk9tp/bPsvOx07rDm8z7sBdr21et7hqngdLjoGcvqWtc3cfy/JLBPtxxvuz+1/Wft/WSb+icf+bWCQnrmI0TsfGHZiYEvLzE/9j8dbgcM+5e++UN2zfRCPs6+JIg1RfEosSGJtoBNtftBV7FmtzSRtqfoZoq+/sKq4rZ73a9RhdF2N/H6r1Wb8v8RO9suF9Ma3OkbtJ63gvgNfP+f37540sIlcDeDGmT6/7VUyfRPd0AG8Qkeer6qvaaigRERERERERERFtrqN8k/Y9s4DkJBF5HKY3aD8C4DGqesfs91cBuAXA1SJyg6qebqmtREREREREREREtKGYSbuc587+f8XBDVoAmN2UfTWAYwCe1UG7iIiIiIiIiIioI6Ld/aPNcpS/SfsFIvJDAO4H4LMA/lRV37dg3Mtn/984Z9ibALx0Ns7LShqkAMbj+ffNU3lurpwsHTuuTDIWZOTk1cVydkoyJmNyM4aOUtZOL7PrMto0TObXLs6ys9GpXf3lymbj5ugqPytqRU3qKjs6J6+ypC9p69gMc0qXX04v+wsj5zyS895Tx1rOtpaCHGo/J9Pmaptpzbxy1o37flPXIbHs25zltKnWeT33GOjieqLmcdrVcwS85zFUfD+x/a0k+5bqsNvHnm9jx9O++Rw1dPI3twb+hxx7jJwY7nmvP717yeLlmKxYOy83o9YOy/kMpIn90T02xxpvU0xJVmxsWH5fudx8awr7g1Se/OJhNa9Jc9a5RoZZk0gjc9Z4Dz95EG2Mo3yT9orZvwtE5CYAz1TVjzu/OwXgwQDuVdVb58znw7P/H9lSO4mIiIiIiIiIqG8UwKTDW9e8a75RjuJN2rMAfhbTh4Z9dPa7rwJwJYAnAniziHy1qp6ZDbt09v9dC+Z38PvLllm4iNyyYNCjlpmeiIiIiIiIiIiINsta3qQVkdMAHpIxyf9Q1e8FAFX9BwA/Y4a/TUSeDOAdAB4L4NkAfimzWeV/v1BgMqlR2iFzf5w7po07KFhqTmljzKQgriExtpk2Y9KErkoBY7oqA/fbYNd5O40aT+IhBbHyXtumVHWVu/26WsfBPnSEyjFLyvTbUlJWXLIPlZQCbvouEytRLuqDa664ou0XK1dMRTIsvxzJWFklsQp90NVx3JacSJaqMtbFIDFyraiB1DmzrVgFaibnWtFe/9n9fujsYzaiYN/EA9x67lLvdaxPsNPGIg1y4g5S4wavI8e57Zfca4Z0SXyz+aZkjbv0mPncVnQVb5fz/oI2Rrdtam7Lfx6OHos9PO8RbYq1vEkL4CMAdjPG//vUCKq6LyK/hulN2sfj8CbtwTdlL507YfqbtnY5j573+9k3bP/pMvMgIiIiIiIiIqIe4I1rqmQtb9Kq6pNamvVnZv+fcpZ1RkQ+BeDBIvKgObm0j5j9/6GW2kREREREREREREQbbC1v0rboa2f/f9T8/i0Avg/ANwG41gx7ijNOEYVgPHsq6aqedJxTypg334L2Z7QptZzYnFa1jq0+lkW2ZVUlRHad2m0bL33Oa2NOCW/OE3xLxPblrvbztpSUonYVcRJO205pYFtt6KOS/Tq17dbhmCnp02JRCcG8Cr4W0sW5rmaJf81jpCRKIabW+ahNsTauKq6mZgQI1ZcTRwEkrq0i23psIgp2x/7H4JxjJBVDEIvhCqLmnNdqYu9sPxSLGrBtsNO6bcqNLPDK6aNj5s03nCBv9KXF0wL8UTP61az3l/neYvOObr/MdR6/Joi0oQdxY32zBpePtCbiQY4bSEQeKyI7c35/OYAXzV6+1gy+Zvb/S0TkPs40DwXwPADnEd68JSIiIiIiIiIiIko6it+kfSWArxCRmwB8cva7rwJw+eznl6rqO90JVPWdIvILAH4UwPtE5LcB7AD4LgD3BfB8VT29grYTERERERERERHRhjmKN2l/A8C3A3gMplEF2wA+DeA3AbxKVd8+byJVfbGIvA/AjwB4DoAJgHcBuEpVb1hFw4mIiIiIiIiIqEeYnUOVHLmbtKr6GgCvaTjt9QCur9sidwGHWURt5bzY3KdYV5LO7StpSPMMTXe5dj3Zad1YnmBYDzMZ+9eiulaXUVsv1zjI9GrUovi+WSqWQVkz+3YdxLbnqq6dSvbzmrmROe831uaSjNaWYs+zD6Cc48BdF33Jp7XbJ96ueJvjebZ2VsuvZ7uO28ob7eoYic+nm7N3zQzeplLHSEmOeAlvX05knJbsq16eaA+vK/vK228Sx2HOcWr7MHc5tu84N9pe3Cb4+0kq79Uei+74qf7bzYq1Wbb2vdtc3fFk8XJi85rYYf5iwn250vVEOO7y880Rnsti4zb/fFjzvUbnlcwMdl8s3aQZmftjUj8uj4g20pG7SUtERERERERERFRMO35wGG+ab5Qj9+AwIiIiIiIiIiIioj7hN2l7Riftlkpl/ZElVZaR0dSwHG5xaUUYYWCXG4tKiLxOtXdVVWqRVbEOfwTrS/lvLalSpZKSL4/Ey91q7X52vqly2HXbnsny+TUoN+2ixDq5n0cHJvah2LAV7V8lJdfRfSrx3tuKE0mW9DvDbRtS27ppJEhfytrbKkVNqRmz0FSrMVQZBhkl/iV9QEn0SGxdtRU3VHP7bFq0YUmUSvy63/R/5nNUfD/wxx0OJt7r0WRxP2v7gzBaQBaOG7TDjSFAar7+tG5sQRjJYJfj7KtBG+LXupPI59OsfnZV54lkdF6dmJKS9551jOdEJZT0Hd2f5ogIvElLRERERERERETUzIb9cY26w7gDIiIiIiIiIiIiog7xJi0RERERERERERFRhxh30DNtZ9KGCyyYNtLUICPKZva4L00bgmntzL2MMjMoaIn7m1TGX3xwawqWu7I8UTfqqAe5fCsVy/TKWP1BHluQtZzXrIXLyZ2g4YLb3AuaZmbmzKemVR0TucuJvfu8HLXE4Ni5IDHrWmuujzmsqfzJWpmTqdzpTIBrMgAAIABJREFUcMGLx49l7Jbs57VySVNysh/bbEeJPpxjU9vLbeLKcsIrrpeSLOnw+nb5aTctZzZH0bEXe95EYr+Y6PDCz6PJ0BtmM2iHZttuD8cXfrZ9vc2KjeXB2j7aHuOTyHWlHbfmtP7AjGlL+tlVHQOpjqlSgHdrubI1p81xhPuocgrptJPnxtsk/CYtERERERERERERUYf4TVoiIiIiIiIiIqImJulRiJbBm7R9oqj0TfUVlcqFOQSHP8XiDQBI5I2qGTkYN6dK12vH5pUBuO+vUuXOXLHtVThjXw82UVjitfy48fn6r+32im2/VHyIO3xlJbmpETKakYxHyeAd8T0oG56nrd28aoRBpXkF/bnd1rViPlLl2bFYgobTpZa7uqq3egsqiW+Iqngs5pWXp8pym7WrZI33sV9KnmPM+P61R3xtxI+ReusiJ1Ijtp+H8zW/6OH223Q2niJnW8eujyYm/kCH/h2WnP2krRiCWIyCnTaYb6yNyTbZiSNRXznXySuLO0gNr9OQPl53hYpO3pXaQEQ5GHdARERERERERERE1CF+k5aIiIiIiIiIiCiTKDp9cNiqniVOq8GbtL0iaFSS0NVBWVA9ES2VC14ujj+wb10ijQojGDatN2vz/TTb2MmStIplq02lytDCCSo9ETbRjpwIg36Wz+aMXLIg/+WmHdVtvaH0PtV82picmI9w2kpl0wX7TM1ojuhyMsYtiWTIkfvZo+lyc9dpVuxMxeUuPeM1kIqoil4v9eT8VNYvLR9bUut4OmpiMU0pYezA8lFfNiohZrTvxx/knHNSsQSxaWNKIgxi80pe+9rlRrI2Y5EG6Wvq+ODGkotdPrIlmLZaLEFLfWPVdRo7N/TvswfRpuBNWiIiIiIiIiIioib4NzyqhJm0RERERERERERERB3iTVoiIiIiIiIiIiKiDjHuoG+afE2+ozyf+ATxnFl31JKcqtRi4tO2lCXYUURPu5m7TedVb2Xk5CGW5MquLPM92O9tO1rakQqyBXPmm7Me83JJzS/WsLSow+cKLC0vcy3jeDIbUDP6qdh+ktXvFqz/ICO9pJ+NtDlcbc2XU5TV2XjKen1YzjvPXmZL2cttHeM5+3mYpZqxoMg1m31dc1/tSmxbB6ecHmbAr6NVrcdJZH9M76uHbZxM/O81RbNh7QgVz09BRm1OHxbJpA0+T8XeT2o50elWlP2d6sPcUbvKI1+HrnIDrrlXah0u8Gkt8Ju0RERERERERERERB3iN2mJiIiIiIiIiIgaWMNCEuop3qTtmxoHt1u2sYG9hVuWEpQqVSyJb1qyl6x0aKuKPShJqVm6vvy83PVWs+qjpPw62o6eHCLRNuaUG6VWU62yroL9rSTaIac8fomZ+a9rzburctg2101s1IzjKxV/EBsU209q7hc5fX9e32gnXn65YZzN0ost0pPu0Vcz+sYbt9682lJyTg3jD3Jmtrj02c6nq321Lb08Bgq0GUfRh2MkMInl5JjXkZJ/e/ys7L0mluO1K6cPy30/jXeb5WMTypZj51PvM1Bry+mjgs/VRFQP4w6IiIiIiIiIiIiIOsRv0hIRERERERERETXBB4dRJfwmLREREREREREREVGH+E3avqmdbZOaXyx3J8gOLG7N/HkncgclEojTZiZUdN4lUUc1A37ceKmqs23+Blv7G2IsjzIz46qXuWkxOSt1VX/ELVlOSSZeJMM0kL2YNdsvauZQl4idRkpy7nL2k5z9IjFpUf8QzZW1y12c5Zl8O0f4yxpluayRFVsxv7aWgt06Ke8tLH8dVjV7ecnpUtP2UZvZsDF9XE812xQ7NtPno8jzDDrqc4M2t3W+Lbn+qXmNWnKtX0sPj5E2eX32EXvvVSkgk26XT5uD36QlIiIiIiIiIiIi6hBv0hIRERERERERERF1iHEHR50ta8gpv4qWqeaUJGeWsPWhEiOjfC+ctN4bqBqd4Ag2SU6TuyiVyY0z6EFJSB9LDtvkHiNV33uitHajtbgLNS1JTso5xeQsJ2fUIGZg+WmTy8mILAjPbe4xYgZ1VBpdYmV9XFsxBT1Y5cn2FkUv5ay35a8Vc2I9cmzaObOv76ckYqNWOXrZOSajXD517djW+So6o9QIbUY+1Zp2c/vktZC5K8a2QZuROxuJDw6jSvhNWiIiIiIiIiIiIqIO8SYtERERERERERERUYcYd9Ajiva/JZ9+YrQzgi1na6ttubUUnVQSFDxVOKMcO7ek1Vtum6XPPawxij+lu/m4gZWV0292TVG8FLAv+1db22BVj4Lv6bwcRcdijlj7U++tYFeVSGRBcjmRqIS+lka7Vvfk7Yqzylmvq3p/WSkfzRvlba/c3SsriqTSvpu6PlqDY2QdaFvRKj0ogU/FGZSdn1YTA1StHyo4Xor6+r5c7m2yijE5sW3NTTkHVwpVwm/SEhEREREREREREXWI36QlIiIiIiIiIiLKppBOHxzGr/FuEn6TloiIiIiIiIiIiKhD/CbtEZPzBx7JzVdyc6y6yFcqFX27WSFxvuT7czMME8vJyErMzbeNaZyHmJ1z12wxqZyxUKUcQuZyVVKw38f0Zh0X9B8dyfoyQE6bo/Ot+OZjOWoV89psP5uVEx5rR1u5kBWtLCe3xVXRx6zfnJzZoP0d9JWpa41qfUmb26r/h9vqzg1treeS7Ni25ptzrZgat+h6MPZcCxucu3jctrJ8s/WwX+2lrs7z0WuPlbWCiCJ4k5aIiIiIiIiIiCjXKp4An1o+bQzGHRARERERERERERF1iN+k7RPF6v8KEilryP5jkFPeIgXlEqv6I1TQxqySvFgtbWra5C8WD4rOO1J2W6qLcvOsaRMNrFkCVqvULHe5rpJNu6rl0AVZ/aHdPjnlcCX7X2v9Uoaa5aQ58TXR95Mq5Y7Mq+r26EYf4wACG/btEc3Y+EHUQAfrInsfyYhtWns1z7frtm4K2ttW3EH2taL7OtGm1j67pNZFRhtjUqkKXVTm9+X0E/3IV3Q9nor6yrn+c6OWSg6+lsY9KiZdN4A2Bb9JS0RERERERERERNQh3qQlIiIiIiIiIiIi6hDjDoiIiIiIiIiIiBqQLh8cRhuFN2n7pnYATyqXpqW+ZB36qKImmu3UWuZkVr5tixm0q9qeTZdTkJ8cDMrJxUwcr7UyvILFZMy3ixyxefqSLRbV0soK9qms/qKdFZeVyd1V7mXJe6/1fkoC1guUZcFuQBhuW2rtu1VXU/PjKye/tjcaboMgfze1mMgxlDuvpsvJm1Gd2XSq2ntoKZM285kD3rk7yKstuP7bN9O64w7NuAPzvImcrNiC7dHZtWOlaNVVaRob284EhdMRUW/wJi0REREREREREVET6/AtNVoLzKQlIiIiIiIiIiIi6hC/SbvpWix5KClDKWlWNB2grdiBzFnlkJJyxVrl9GY+HVX4Npb9h8toeVhGCVvJ+k/trM6CkrtmrbLwkuMnITrrtiq7U/MNVqzM/bFUTlxFP8v7TAloybrpwxvM6OCy+8I+vL91LIFvse/pneC9xt58zciqtvaL1WyQarEClee12Tq6Pi245sm6HsxYTtC1T0wbJv5LcSINxI5rZjbZcV6b+dhNEI83aHG/XtW5reSaro1lztOwHckEwoz59uFSg70oUXt4k5aIiIiIiIiIiCiXotu4gx7cuKd6GHdARERERERERERE1CF+k7ZHBIBMnBfLWsO/nLRVIlFU/mGf6hprZOzp4Jlvzv2jW25pbfQPdqa8StwSKvPmsna3oc1GWMMdMPbU52T5W2Q+JU/ZDYbn1D0tP2p6uU3nY/Ypu5tMFo4atD927AXbJ5JYYAXztX+mbLoeE22Kzjax3tx5tRoxk1FxHeunwnWcmNh9mXqDOQ/8zqkgjyw3+aWIIMqCBYAHss5nfTyNRLOVUtNGhmVN230cUlpP9/meNquKro6XrCiB5TdA1ciqjHYkz6nudXTiPD88619QqPMJe3JivHSbss8ptfaF1ObqQy1+X84TTduxfMpZvr6sm6POxpUQNcRv0hIRERERERERERF1iDdpiYiIiIiIiIiIiDrEuAMiIiIiIiIiIqJMAoV0+OAwYebFRuFN2r45yPxZx+MsJ0ynpRzMIqb98Ug5m6uo7kAzbPkmJPv2IBPrcOZic3DG/oIHu4dfnN86Z4btmdkO/dejSw9nPrG9xqAgY7JETi5micg6z8+ZXXJYMG4kXziTmKxidTJD03m8h9MOz/rzGZ43o5p9KDZs/4Q59oKsWKeNe/5yt8/4r8c7zs8nbGiceT3JyVgzr2NZsXYHtNvLbYfdtia6bngusr+Z9aR2vcUiNbf8gXabeM3KyLMN4rrtfmDzh93M2lhebaodtv+O7csZmX/JviTnOE4dYOuWZ5t4P619VmlpNQUZuiUZjDn7n7WO13+uvrS/4FkBVZaZktumHl43R4/xis+IyJF12Zlx7pZ9f9jWGf+Eu3/KP9Hr9uLzfNVjpNY+V/DZJZzXmp3LcjX9bNNm37jp65zoiOFNWiIiIiIiIiIioiY6/CYtbRZm0hIRERERERERER0xInI/EXm2iPyuiPytiJwTkbtE5B0i8oMiQZ3jvHm8RkR09u/hkfGeKSJ/ISL3zpZxk4h8a913tN74Tdo+UYRlsQf6UMXQVRtyyoRK/oAVK7VNRCFotN7XjmzKm93hdlxTjm3LrWLvd3jW70vdcvShiTeQkZmt6Rl0uLhfHh8zZdOxLjxRvuyXPpthwbSLxw1OIwPTxsjmSnLHt8drJJbAbrvBvpnWbOuBs01sG8VMGxs3yVlusOvacnqndN1GZAxMmX4sksHOd7xtIhi2TRO3DodH9y/4cQGD8/EdLvZ+bfttDIG3zu24dtsakx13B0wsxzlu7T4TLDdr2/sLtjEm7mvbH4yP+a+9uIpUybjZfu57CI/x+KyiIwcHzeJRY+c2qRrZ0ocTeUJOExPlla1VXwZluQXbyE0TScwmiENw2Tcba1ObX7TJKWduSx/Lbvv45aYW25T1Za6C6KUS1brWmu0PzuVOxNM5E29wUSTewLarIKKq7HNNZF65sSs9PKwDq4rYaXocrKwP3rDl0Ko8DcCvALgVwFsBfBzAAwB8B4BfA/AUEXma6vwzjIj8SwA/AOBeABctWoiIXA3gxQA+CeBXAewAeDqAN4jI81X1VdXe0RrjTVoiIiIiIiIiIqJcim7jDsoX/SEATwXwB6p64U9LIvJTAP4CwHdiesP2d+yEIvL5mN5wfR2ABwL4hnkLEJHHYXqD9iMAHqOqd8x+fxWAWwBcLSI3qOrp4nez5hh3QEREREREREREdMSo6ltU9Q3uDdrZ728DcM3s5RMWTP7fZv8/L7GY587+f8XBDdrZMk4DeDWAYwCeldHsjcWbtEREREREREREROQ6CHkLAt1E5PsBfBuA56rqZxPzuXz2/41zhr3JjHOkMe6gbyYLcm6q5uK58+3tzA4Fma7OzzazNSevNpF36GfFmsxMm6vo5aPG14PNJt2693BmNis2lWPlLtZmSm6d9V+7mbQDk0Fr80THJhN0+4yzTDOuDk22pZNbmlrHYfbt4QjefODnodpp90/6G3dis8HMcqI5k/YYNNtg4Gy/rbsHZphZznjxMLsNYtvaNje2nCCnNHi9+L1rLJcZZr+3kZ8Zywnna44vs63dfSHYD+xrp40l8Xn2/QSZu+P5P8+b1vLWYywzzsx7MPYHpjJqY/lztg8LMmmdnGCbQWszd4fnnHFP2PkgSmPbdstkgbsbNHVKtHnKsX0h1k9l5Ne2qmS5WdPWu9ZoLZK2JB8wlRnvjWtGXf40H29TW9dzQHsZgQWd6cqqP3OWs+n5mpHt1ebul6Wl95e1nMRzILzHTZjzfCA13FtuSztgqn+TJYfNk9FXtqZm1nKtfN7UemytT7av16FTOwK6jDtoiYhsAXjG7OWNZthDAPwSgNeq6usT8zkF4MEA7lXVW+eM8uHZ/48sa/Fm4E1aIiIiIiIiIiKi9fQoEbll3gBVfXTDef48gK8E8EZV/cODX4rIAMD1mD4o7AVLzOfS2f93LRh+8PvLGrZzo/AmLRERERERERERUROJSrp1IyIvwPRBXx8E8H1m8IswfUDYt7j5shVs3teRG+BN2j7Rw3LVsBypWRlDzeqHoIomVgZqx7Xpx7F6q5KyulhkgW2C7UjNtIPzh7/QHTMjW9o9PnyDQdm3KYHaOuMvaLjr/GziDmxJvJ13rLTblmcPnHkPR6aM2MzXpgV44ya2rfs6KKHeSpS1O6XR4x1/2Pi4/3pkXrsGJlIirD45HB5sr5E/7cC8dmMjhiZSYuu8/9otCw/iDvbj28A9hoI2BiXxunjcoBQ/tnHNeisp9Y4d4ma72zcUxB+4Ve52f4vEHRRJxDkMIhETdofLKi/NiDtILTdWkx1Ej9jYEqcTGO+YiJadxcfx2BwTQWxJsP2ciJMdO+7i0tNgOwf9kmmj0xcFcSh2Vm6bc2ITrMS4efMquGbNiHoIT6LNF+uXk1aMUcgt03VobOSMUuFURWM0DmENy1KzKjizxl1+XbSaElEUJ9KwYYmFBrONRHCllxVbUN6solq6tg/n1WzY8Izp0G3sj7nWd+PJ7LXUib/3J94/5Q/fv3jx3Zqc+J0cQf8W69Nyy/K76LZyIguyp43EJ6WO6ZLlRuebEVPSh9tYfWgDWR8s+MasR0Seh2mUwQcAPElVP+cMewSAVwC4VlXfuOQsD74pe+mC4alv2h4pfHAYERERERERERHRESYiLwTwKgDvB/BEVb3NjPIVAI4BeJaIqPsP02/XAsCHZ7/7NgBQ1TMAPgXgIhF50JzFPmL2/4dqv591xG/SEhERERERERERNSAb8OAwEfkJTHNo3wPgClW9fc5opwG8ZsEsvgXAAwH8FoC7Z+MeeAumsQnfBOBaM91TnHGOPN6k7RWBjJeoJ8k4/gepiIJYaxKlFcGs3OGpEtFBpMwkaMjihmW9H1MCH5Qvm+Fu9IDcY0rgTdmTW9Zvy6/tk9C3zvmvvfL5IO7AlF5FniIflMDbsnenzN22KVlGHRErm7ZPdh/b17Zs2n1pSp+Dp8S7b9ju58N42eqWU/I2NBEFNmJiYIa728hOO9zzFzTw4g6W35bT14vfn40s8PaDFkvivWPRlqInePOy+4x9HZt3zrS1SrUxZ53H4ihspISdV6zPi0wbjaoAwm2pkQPZRlvYKBJvP/eH2ePWjTGx/VsQeTK0y108bmxbJ6sRI3EIo4v9GY9Mmap7bNp+JzhcomXtiXHtCToybrRMPylWghxfbtYTsKPazF5afrHR2KbkBUXG9lr3z2kZpcLZZbg5F25trcdYqkeqc0lFhMTEIgtKSrtLxrVKSvG7iPKw7zVSIzo+5Z8Th+f8kYPPBXvOuc3GW5lznY20Gh9zItPseSSI51l8vZcj7L4jHWBBbEwgNq+ax3BOX1OyL6am9dZj8+Ukk1IyoueyLpCIFhCRlwJ4OYBbADzZjThwqep7ADx7wTxuwvQm7U+p6t+awddgepP2JSLy+oMsWxF5KIDnATiP8ObtkcSbtERERERERERERLlUu/0LbeGyReSZmN6gHQN4O4AXSPhFntOqel3TZajqO0XkFwD8KID3ichvY/q1rO8CcF8Az1fV003nv0l4k5aIiIiIiIiIiOjoedjs/yGAFy4Y52YA15UsRFVfLCLvA/AjAJ6D6ePY3wXgKlW9oWTem4Q3aYmIiIiIiIiIiI4YVb0SwJUV5vOEJca5HsD1pcvaZLxJ2zezb5XbzFA3T9XmHsXyDm1UTpBbapfjTmuyVbPyi4KM0MWvc+N8YpmTNufTXVexYcCcnNb95cf1cqximX5z26HOz2aYzS21eaNjd1w7bHGGZtimeI6pu41sdmWQ/yULX8zJF178Osj5NOsiOh/DzaAFgO27D38e7vrjhrnAdvjhuhra/FqbSeus19Q6tsNjWaRhnrLzi0h2aq7osRnJsp0Ot/NyfmEzq00GbZiFK4uHxZabmZsblZEVm9q2ft5wxdKoyPtVmwUb9FOmHc74NjrVvh933sG2tNva5EVPvGnNuInXTQ1G8TZ629asqFS/5Obq2jzb/ZM2HNu0w2Zpu8sp2U00se29gZEF52YYtpVLmBWeGF9wdFVkZY/2MAMw4+IqmSsby09tM5M2R85BUvHcFpWVoZkx32Daius0mvGcmde7rNzpIhn3CHL4nVEn8b5QzLlhcuxw4ol9hkLiWnH7zOH4e5cm+qGJex4suWgz8w0GF+SWrioTuSBndlVRrO56zFpmZvvs/hod17kWCZ7rkPFchKxr7JpZ85si9ewIoiVV+shDRERERERERERERE3wm7RERERERERERERNdPngMNoovEnbIzIGdj43LR3YOucPc8vgh+fNMFNi45ai2hLXcJmLy3Rtqf3YlG5Gy2fNYidmT3PLQG2paTKSwWljEMkQKXsK5mvLViPLcSMJAL/kfd68osOCdujCcYMy6sh7kH3bpsXl2dncbW1na0oD3TKbiSnnje0HgL+P7Z8ww46Z5Tr7jT0GBibeIBZpsJU4nuy2Hp534ilGJt7AbAP3GAq2TyqeYny4cYP9IDKuLfWT1AVDbLjdtpHIgui4gClPtGXey8cdpKqrom1M8fqLxPGj7nGb6A+C47jZwRhdp5izHp1jMVhtiSgct4kaiT8BMH3EwIVlanzcYD+J7X9muc77SZXkBRE7zr4QLPJ2f2bjncOfbf8Qi4IB/H4qOD+ZNzS6eHFtarLkNbICkhXJGbufxgMBlp9RTdFybDtuInLHnZfY4zQx79hyMgZXLdHNKRWORRak5uvMK7v9Odsva76VYj2sRIRVY8H1XOJ6PXKdGfaz8WVFx42I9weIHk/R5abWaWyxwfl28ckt6A5s/E7kU3FwPWuuX4PUHPecM148zArOxUXHhJm3NyheEt9WVlZZdE/GuPVSccJZt3Tqi8bOJI7p4e7iz2l2/7OxbuJ87lFzDNjrGHe/j8bQEVERxh0QERERERERERERdYjfpCUiIiIiIiIiImqCcQdUCb9JS0RERERERERERNQhfpO2RwYj4OQ/TH8e7pocTCcvxuZRxvJRq+aSWjbOKJL/E8+vtTNK5Hy6OaADkxFlMqPG206GYWJvDzNpF2fFDiJZvkH+ZJBJm8i988Y1bbLTuu2IZGYGIjmyAKBbi7dXEGsXyR+e2CyjRKbXxMmCTOUN79zlZOLZbWdykoLM2v3F48YyaKfzcjJpY/umGT4Y+TtCVibtvtmJJmZe7vCSv+Laac1+IpFhOvD/5iexzNpUfm1k2mDcHAXZgmFGrfM6lQOcs00i60Zsg22e92TxcW37YAmWY5uxOAc46M/HkazYggxa27+7Oa1BP2TGxb4d7izGrkYzrs1f95potvX5yxbn2e5fZOZrcrVh8hC9HNrUn9Dd80xRaGGcxBaTDAZebr41hftfRi5mENS87HRp3ug5771m3mt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      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 386,
       "width": 692
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.tas.sel(time='1950-01').squeeze().plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a timeseries of global-average surface air temperature. For this we need the area weighting factor for each gridpoint."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0d56726b-2477-4ead-81b4-b73ac609ded3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0d56726b-2477-4ead-81b4-b73ac609ded3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span>nbnd</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-84ed9cdb-1140-4400-adf1-20f2494259e9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84ed9cdb-1140-4400-adf1-20f2494259e9' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.06 -88.12 ... 89.06 90.0</div><input id='attrs-f0a610fe-701c-4d53-bf2b-911b2a0581e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0a610fe-701c-4d53-bf2b-911b2a0581e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66b83db3-9131-40f2-ac1b-080fb2ef4d56' class='xr-var-data-in' type='checkbox'><label for='data-66b83db3-9131-40f2-ac1b-080fb2ef4d56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>title :</span></dt><dd>Latitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div><pre class='xr-var-data'>array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, nbnd)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(192, 2), meta=np.ndarray&gt;</div><input id='attrs-0d14351f-45f6-43d7-82be-fcd29a8a9ee0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d14351f-45f6-43d7-82be-fcd29a8a9ee0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d733b287-a857-48be-b1ed-2c1d91de6cd1' class='xr-var-data-in' type='checkbox'><label for='data-d733b287-a857-48be-b1ed-2c1d91de6cd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><pre class='xr-var-data'><table>\n",
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       "</table></pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 2.5 ... 356.2 357.5 358.8</div><input id='attrs-d9109d5d-adf4-4648-bdca-0e0100771c38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9109d5d-adf4-4648-bdca-0e0100771c38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9ac71ae-abaa-4135-9d3d-9ae81b02f7cd' class='xr-var-data-in' type='checkbox'><label for='data-d9ac71ae-abaa-4135-9d3d-9ae81b02f7cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>title :</span></dt><dd>Longitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>360.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><pre class='xr-var-data'>array([  0.  ,   1.25,   2.5 , ..., 356.25, 357.5 , 358.75])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, nbnd)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(288, 2), meta=np.ndarray&gt;</div><input id='attrs-508cd90c-65b9-4a62-94b8-cf24f2b0ffd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-508cd90c-65b9-4a62-94b8-cf24f2b0ffd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a901182f-7bcd-4f07-bc57-0ddd7ddfef74' class='xr-var-data-in' type='checkbox'><label for='data-a901182f-7bcd-4f07-bc57-0ddd7ddfef74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><pre class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 4.61 kB </td> <td> 4.61 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (288, 2) </td> <td> (288, 2) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></pre></li></ul></div></li><li class='xr-section-item'><input id='section-1cab451a-ad61-4dc5-823d-c8b55d5b84fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1cab451a-ad61-4dc5-823d-c8b55d5b84fa' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>areacella</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(192, 288), meta=np.ndarray&gt;</div><input id='attrs-479c7a1f-daa2-484e-bdc6-a511bcfe6d1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-479c7a1f-daa2-484e-bdc6-a511bcfe6d1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0fc118e-09ca-4881-aafe-0fde0310b32b' class='xr-var-data-in' type='checkbox'><label for='data-b0fc118e-09ca-4881-aafe-0fde0310b32b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>area: sum</dd><dt><span>comment :</span></dt><dd>AREA[0,:,:]</dd><dt><span>description :</span></dt><dd>Cell areas for any grid used to report atmospheric variables and any other variable using that grid (e.g., soil moisture content). These cell areas should be defined to enable exact calculation of global integrals (e.g., of vertical fluxes of energy at the surface and top of the atmosphere).</dd><dt><span>frequency :</span></dt><dd>fx</dd><dt><span>id :</span></dt><dd>areacella</dd><dt><span>long_name :</span></dt><dd>Grid-Cell Area for Atmospheric Grid Variables</dd><dt><span>mipTable :</span></dt><dd>fx</dd><dt><span>out_name :</span></dt><dd>areacella</dd><dt><span>prov :</span></dt><dd>fx ((isd.003))</dd><dt><span>realm :</span></dt><dd>atmos land</dd><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>time_label :</span></dt><dd>None</dd><dt><span>time_title :</span></dt><dd>No temporal dimensions ... fixed field</dd><dt><span>title :</span></dt><dd>Grid-Cell Area for Atmospheric Grid Variables</dd><dt><span>type :</span></dt><dd>real</dd><dt><span>units :</span></dt><dd>m2</dd><dt><span>variable_id :</span></dt><dd>areacella</dd></dl></div><pre class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "    <tr><th> Shape </th><td> (192, 288) </td> <td> (192, 288) </td></tr>\n",
       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></pre></li></ul></div></li><li class='xr-section-item'><input id='section-02beae86-3307-4294-bec0-b685460f5215' class='xr-section-summary-in' type='checkbox'  ><label for='section-02beae86-3307-4294-bec0-b685460f5215' class='xr-section-summary' >Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CFMIP</dd><dt><span>branch_method :</span></dt><dd>no parent</dd><dt><span>branch_time_in_child :</span></dt><dd>721970.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>0.0</dd><dt><span>case_id :</span></dt><dd>965</dd><dt><span>cesm_casename :</span></dt><dd>f.e21.FHIST_BGC.f09_f09_mg17.CFMIP-amip-4xCO2.001</dd><dt><span>contact :</span></dt><dd>cesm_cmip6@ucar.edu</dd><dt><span>creation_date :</span></dt><dd>2019-03-13T22:41:31Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>Continuation of CFMIP-2 AMIP experiments and CMIP5 experiment 6.5. AMIP conditions are imposed but the radiation code sees quadrupled CO2, relative to the AMIP. If the carbon cycle remains active, it should continue to &quot;see&quot; AMIP CO2, while the radiation should see 4xCO2 with respect to the AMIP experiment.</dd><dt><span>experiment_id :</span></dt><dd>amip-4xCO2</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>fx</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NCAR.CESM2.amip-4xCO2.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>native 0.9x1.25 finite volume grid (192x288 latxlon)</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA</dd><dt><span>institution_id :</span></dt><dd>NCAR</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by &lt;The National Center for Atmospheric Research&gt; is licensed under a Creative Commons Attribution-[]ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file)[]. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>model_doi_url :</span></dt><dd>https://doi.org/10.5065/D67H1H0V</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>no parent</dd><dt><span>parent_experiment_id :</span></dt><dd>no parent</dd><dt><span>parent_mip_era :</span></dt><dd>no parent</dd><dt><span>parent_source_id :</span></dt><dd>no parent</dd><dt><span>parent_time_units :</span></dt><dd>no parent</dd><dt><span>parent_variant_label :</span></dt><dd>no parent</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos land</dd><dt><span>source :</span></dt><dd>CESM2 (2017): atmosphere: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb); ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m); sea_ice: CICE5.1 (same grid as ocean); land: CLM5 0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb); aerosol: MAM4 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb); atmoschem: MAM4 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb); landIce: CISM2.1; ocnBgchem: MARBL (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m)</dd><dt><span>source_id :</span></dt><dd>CESM2</dd><dt><span>source_type :</span></dt><dd>AGCM AER</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>fx</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/35b69461-eb69-4a58-b2f7-413dbf2cd8fe</dd><dt><span>variable_id :</span></dt><dd>areacella</dd><dt><span>variant_info :</span></dt><dd>The same as the amip experiment within DECK, except that the CO2 concentration seen by the radiation scheme is quadrupled.</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>status :</span></dt><dd>2019-11-04;created;by nhn2@columbia.edu</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (lat: 192, lon: 288, nbnd: 2)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
       "    lat_bnds   (lat, nbnd) float64 dask.array<chunksize=(192, 2), meta=np.ndarray>\n",
       "  * lon        (lon) float64 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8\n",
       "    lon_bnds   (lon, nbnd) float64 dask.array<chunksize=(288, 2), meta=np.ndarray>\n",
       "Dimensions without coordinates: nbnd\n",
       "Data variables:\n",
       "    areacella  (lat, lon) float32 dask.array<chunksize=(192, 288), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:            CF-1.7 CMIP-6.2\n",
       "    activity_id:            CFMIP\n",
       "    branch_method:          no parent\n",
       "    branch_time_in_child:   721970.0\n",
       "    branch_time_in_parent:  0.0\n",
       "    case_id:                965\n",
       "    cesm_casename:          f.e21.FHIST_BGC.f09_f09_mg17.CFMIP-amip-4xCO2.001\n",
       "    contact:                cesm_cmip6@ucar.edu\n",
       "    creation_date:          2019-03-13T22:41:31Z\n",
       "    data_specs_version:     01.00.29\n",
       "    experiment:             Continuation of CFMIP-2 AMIP experiments and CMIP...\n",
       "    experiment_id:          amip-4xCO2\n",
       "    forcing_index:          1\n",
       "    frequency:              fx\n",
       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.NCAR.CESM2.a...\n",
       "    grid:                   native 0.9x1.25 finite volume grid (192x288 latxlon)\n",
       "    grid_label:             gn\n",
       "    initialization_index:   1\n",
       "    institution:            National Center for Atmospheric Research, Climate...\n",
       "    institution_id:         NCAR\n",
       "    license:                CMIP6 model data produced by <The National Center...\n",
       "    mip_era:                CMIP6\n",
       "    model_doi_url:          https://doi.org/10.5065/D67H1H0V\n",
       "    nominal_resolution:     100 km\n",
       "    parent_activity_id:     no parent\n",
       "    parent_experiment_id:   no parent\n",
       "    parent_mip_era:         no parent\n",
       "    parent_source_id:       no parent\n",
       "    parent_time_units:      no parent\n",
       "    parent_variant_label:   no parent\n",
       "    physics_index:          1\n",
       "    product:                model-output\n",
       "    realization_index:      1\n",
       "    realm:                  atmos land\n",
       "    source:                 CESM2 (2017): atmosphere: CAM6 (0.9x1.25 finite v...\n",
       "    source_id:              CESM2\n",
       "    source_type:            AGCM AER\n",
       "    sub_experiment:         none\n",
       "    sub_experiment_id:      none\n",
       "    table_id:               fx\n",
       "    tracking_id:            hdl:21.14100/35b69461-eb69-4a58-b2f7-413dbf2cd8fe\n",
       "    variable_id:            areacella\n",
       "    variant_info:           The same as the amip experiment within DECK, exce...\n",
       "    variant_label:          r1i1p1f1\n",
       "    status:                 2019-11-04;created;by nhn2@columbia.edu"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_area = df.query(\"variable_id == 'areacella' & source_id == 'CESM2'\")\n",
    "ds_area = xr.open_zarr(gcs.get_mapper(df_area.zstore.values[0]), consolidated=True)\n",
    "ds_area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
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       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1980</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-12f52d62-f1af-4c0b-a85d-2863b8609df9' class='xr-array-in' type='checkbox' ><label for='section-12f52d62-f1af-4c0b-a85d-2863b8609df9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(600,), meta=np.ndarray&gt;</span></div><pre class='xr-array-data'><table>\n",
       "<tr>\n",
       "<td>\n",
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       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 7.92 kB </td> <td> 2.40 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (1980,) </td> <td> (600,) </td></tr>\n",
       "    <tr><th> Count </th><td> 37 Tasks </td><td> 4 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></pre></div></li><li class='xr-section-item'><input id='section-61dd0b57-c276-4705-b192-30ddd974e624' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61dd0b57-c276-4705-b192-30ddd974e624' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-15 12:00:00 ... 2014-12-15 12:00:00</div><input id='attrs-e7fd9b44-63f3-4420-8029-0f29dcc79b43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7fd9b44-63f3-4420-8029-0f29dcc79b43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c66c14ed-f6b2-4d99-b762-379f183e4f40' class='xr-var-data-in' type='checkbox'><label for='data-c66c14ed-f6b2-4d99-b762-379f183e4f40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>title :</span></dt><dd>time</dd><dt><span>type :</span></dt><dd>double</dd></dl></div><pre class='xr-var-data'>array([cftime.DatetimeNoLeap(1850-01-15 12:00:00),\n",
       "       cftime.DatetimeNoLeap(1850-02-14 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1850-03-15 12:00:00), ...,\n",
       "       cftime.DatetimeNoLeap(2014-10-15 12:00:00),\n",
       "       cftime.DatetimeNoLeap(2014-11-15 00:00:00),\n",
       "       cftime.DatetimeNoLeap(2014-12-15 12:00:00)], dtype=object)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-bd9b2c92-f2d8-470a-9f73-12f97ca16556' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bd9b2c92-f2d8-470a-9f73-12f97ca16556' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 1980)>\n",
       "dask.array<truediv, shape=(1980,), dtype=float32, chunksize=(600,), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) object 1850-01-15 12:00:00 ... 2014-12-15 12:00:00"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_area = ds_area.areacella.sum(dim=['lon', 'lat'])\n",
    "ta_timeseries = (ds.tas * ds_area.areacella).sum(dim=['lon', 'lat']) / total_area\n",
    "ta_timeseries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default the data are loaded lazily, as Dask arrays. Here we trigger computation explicitly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.87 s, sys: 1.57 s, total: 4.44 s\n",
      "Wall time: 4.41 s\n"
     ]
    },
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       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1980</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a39cc217-8ad0-4928-a687-61934cde3cff' class='xr-array-in' type='checkbox' ><label for='section-a39cc217-8ad0-4928-a687-61934cde3cff' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>285.6408 285.57397 286.33856 287.15988 ... 288.6992 287.76303 287.0621</span></div><pre class='xr-array-data'>array([285.6408 , 285.57397, 286.33856, ..., 288.6992 , 287.76303,\n",
       "       287.0621 ], dtype=float32)</pre></div></li><li class='xr-section-item'><input id='section-7a725e86-8773-4686-ad32-d6709055d64e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a725e86-8773-4686-ad32-d6709055d64e' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-15 12:00:00 ... 2014-12-15 12:00:00</div><input id='attrs-26f30a3e-d5a8-4465-8d85-c26b00eb376c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26f30a3e-d5a8-4465-8d85-c26b00eb376c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-375869bf-ab6e-4a7a-be0b-70ffe6ebb535' class='xr-var-data-in' type='checkbox'><label for='data-375869bf-ab6e-4a7a-be0b-70ffe6ebb535' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>title :</span></dt><dd>time</dd><dt><span>type :</span></dt><dd>double</dd></dl></div><pre class='xr-var-data'>array([cftime.DatetimeNoLeap(1850-01-15 12:00:00),\n",
       "       cftime.DatetimeNoLeap(1850-02-14 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1850-03-15 12:00:00), ...,\n",
       "       cftime.DatetimeNoLeap(2014-10-15 12:00:00),\n",
       "       cftime.DatetimeNoLeap(2014-11-15 00:00:00),\n",
       "       cftime.DatetimeNoLeap(2014-12-15 12:00:00)], dtype=object)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-11b967e4-1e54-41b2-94f4-829f77bc23a0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-11b967e4-1e54-41b2-94f4-829f77bc23a0' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 1980)>\n",
       "array([285.6408 , 285.57397, 286.33856, ..., 288.6992 , 287.76303,\n",
       "       287.0621 ], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) object 1850-01-15 12:00:00 ... 2014-12-15 12:00:00"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time ta_timeseries.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Global Mean Surface Air Temperature')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 386,
       "width": 710
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ta_timeseries.plot(label='monthly')\n",
    "ta_timeseries.rolling(time=12).mean().plot(label='12 month rolling mean')\n",
    "plt.legend()\n",
    "plt.title('Global Mean Surface Air Temperature')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pangeo",
   "language": "python",
   "name": "pangeo"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}