notebooks/Example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pymagicc Usage Examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "IPython.OutputArea.prototype._should_scroll = function(lines) { return false; }"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "pyam - INFO: Running in a notebook, setting `pyam` logging level to `logging.INFO` and adding stderr handler\n"
     ]
    }
   ],
   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "from pprint import pprint\n",
    "\n",
    "import pymagicc\n",
    "from pymagicc import MAGICC6\n",
    "from pymagicc.io import MAGICCData\n",
    "from pymagicc.scenarios import rcp26, rcp45, rcps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "plt.style.use(\"ggplot\")\n",
    "plt.rcParams[\"figure.figsize\"] = 16, 9"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenarios\n",
    "\n",
    "The four RCP scenarios are already preloaded in Pymagicc. They are loaded as `MAGICCData` objects with `metadata` attributes. `metadata` contains metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pymagicc.io.MAGICCData"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(rcp26)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'description': 'HARMONISED, EXTENDED FINAL RCP3-PD (Peak&Decline) NOV26; '\n",
      "                'RCP3PD-Contact: IMAGE group, Detlef van Vuuren '\n",
      "                '(Detlef.vanVuuren@pbl.nl)',\n",
      " 'header': 'Final RCP3PD with constant emissions after 2100 using the default '\n",
      "           'RCPtool MAGICC6.3 settings. Compiled by: '\n",
      "           'malte.meinshausen@pik-potsdam.de',\n",
      " 'notes': 'DATE: 26/11/2009 11:29:06; MAGICC-VERSION: 6.3.09, 25 November 2009'}\n"
     ]
    }
   ],
   "source": [
    "pprint(rcp26.metadata)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`MAGICCData` subclasses scmdata's `ScmRun` so we can access the `scmdata` helpers directly, e.g."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(scmdata.run.ScmRun,)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rcp26.__class__.__bases__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>2000-01-01 00:00:00</th>\n",
       "      <th>2001-01-01 00:00:00</th>\n",
       "      <th>2002-01-01 00:00:00</th>\n",
       "      <th>2003-01-01 00:00:00</th>\n",
       "      <th>2004-01-01 00:00:00</th>\n",
       "      <th>2005-01-01 00:00:00</th>\n",
       "      <th>2006-01-01 00:00:00</th>\n",
       "      <th>2007-01-01 00:00:00</th>\n",
       "      <th>2010-01-01 00:00:00</th>\n",
       "      <th>2020-01-01 00:00:00</th>\n",
       "      <th>2030-01-01 00:00:00</th>\n",
       "      <th>2040-01-01 00:00:00</th>\n",
       "      <th>2050-01-01 00:00:00</th>\n",
       "      <th>2060-01-01 00:00:00</th>\n",
       "      <th>2070-01-01 00:00:00</th>\n",
       "      <th>2080-01-01 00:00:00</th>\n",
       "      <th>2090-01-01 00:00:00</th>\n",
       "      <th>2100-01-01 00:00:00</th>\n",
       "      <th>2125-01-01 00:00:00</th>\n",
       "      <th>2500-01-01 00:00:00</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>climate_model</th>\n",
       "      <th>model</th>\n",
       "      <th>region</th>\n",
       "      <th>scenario</th>\n",
       "      <th>todo</th>\n",
       "      <th>unit</th>\n",
       "      <th>variable</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">unspecified</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">IMAGE</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">World|Bunkers</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">RCP26</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">SET</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">Gt C / yr</th>\n",
       "      <th>Emissions|CO2|MAGICC Fossil and Industrial</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Emissions|CO2|MAGICC AFOLU</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mt CH4 / yr</th>\n",
       "      <th>Emissions|CH4</th>\n",
       "      <td>0.4325</td>\n",
       "      <td>0.4422</td>\n",
       "      <td>0.4520</td>\n",
       "      <td>0.4618</td>\n",
       "      <td>0.4717</td>\n",
       "      <td>0.4817</td>\n",
       "      <td>0.4812</td>\n",
       "      <td>0.4806</td>\n",
       "      <td>0.4790</td>\n",
       "      <td>0.5252</td>\n",
       "      <td>0.5252</td>\n",
       "      <td>0.3191</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mt N2ON / yr</th>\n",
       "      <th>Emissions|N2O</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mt S / yr</th>\n",
       "      <th>Emissions|SOx</th>\n",
       "      <td>5.5390</td>\n",
       "      <td>5.5824</td>\n",
       "      <td>5.6207</td>\n",
       "      <td>5.6587</td>\n",
       "      <td>5.6964</td>\n",
       "      <td>5.7337</td>\n",
       "      <td>5.4434</td>\n",
       "      <td>5.1544</td>\n",
       "      <td>4.2947</td>\n",
       "      <td>1.5534</td>\n",
       "      <td>1.0918</td>\n",
       "      <td>0.7379</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.3209</td>\n",
       "      <td>0.2856</td>\n",
       "      <td>0.2356</td>\n",
       "      <td>0.2127</td>\n",
       "      <td>0.1887</td>\n",
       "      <td>0.1887</td>\n",
       "      <td>0.1887</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "time                                                                                                     2000-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.4325   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            5.5390   \n",
       "\n",
       "time                                                                                                     2001-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.4422   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            5.5824   \n",
       "\n",
       "time                                                                                                     2002-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.4520   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            5.6207   \n",
       "\n",
       "time                                                                                                     2003-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.4618   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            5.6587   \n",
       "\n",
       "time                                                                                                     2004-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.4717   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            5.6964   \n",
       "\n",
       "time                                                                                                     2005-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.4817   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            5.7337   \n",
       "\n",
       "time                                                                                                     2006-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.4812   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            5.4434   \n",
       "\n",
       "time                                                                                                     2007-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.4806   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            5.1544   \n",
       "\n",
       "time                                                                                                     2010-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.4790   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            4.2947   \n",
       "\n",
       "time                                                                                                     2020-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.5252   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            1.5534   \n",
       "\n",
       "time                                                                                                     2030-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.5252   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            1.0918   \n",
       "\n",
       "time                                                                                                     2040-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.3191   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            0.7379   \n",
       "\n",
       "time                                                                                                     2050-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial                0.000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                                0.000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                             0.000   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                             0.000   \n",
       "                                                Mt S / yr    Emissions|SOx                                             0.336   \n",
       "\n",
       "time                                                                                                     2060-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.0000   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            0.3209   \n",
       "\n",
       "time                                                                                                     2070-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.0000   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            0.2856   \n",
       "\n",
       "time                                                                                                     2080-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.0000   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            0.2356   \n",
       "\n",
       "time                                                                                                     2090-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.0000   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            0.2127   \n",
       "\n",
       "time                                                                                                     2100-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.0000   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            0.1887   \n",
       "\n",
       "time                                                                                                     2125-01-01 00:00:00  \\\n",
       "climate_model model region        scenario todo unit         variable                                                          \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000   \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000   \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.0000   \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000   \n",
       "                                                Mt S / yr    Emissions|SOx                                            0.1887   \n",
       "\n",
       "time                                                                                                     2500-01-01 00:00:00  \n",
       "climate_model model region        scenario todo unit         variable                                                         \n",
       "unspecified   IMAGE World|Bunkers RCP26    SET  Gt C / yr    Emissions|CO2|MAGICC Fossil and Industrial               0.0000  \n",
       "                                                             Emissions|CO2|MAGICC AFOLU                               0.0000  \n",
       "                                                Mt CH4 / yr  Emissions|CH4                                            0.0000  \n",
       "                                                Mt N2ON / yr Emissions|N2O                                            0.0000  \n",
       "                                                Mt S / yr    Emissions|SOx                                            0.1887  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rcp26.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The rcp's contain the following emissions with the following units"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>variable</th>\n",
       "      <th>unit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Emissions|CO2|MAGICC Fossil and Industrial</td>\n",
       "      <td>Gt C / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Emissions|CO2|MAGICC AFOLU</td>\n",
       "      <td>Gt C / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Emissions|CH4</td>\n",
       "      <td>Mt CH4 / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Emissions|N2O</td>\n",
       "      <td>Mt N2ON / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Emissions|SOx</td>\n",
       "      <td>Mt S / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Emissions|CO</td>\n",
       "      <td>Mt CO / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Emissions|NMVOC</td>\n",
       "      <td>Mt NMVOC / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Emissions|NOx</td>\n",
       "      <td>Mt N / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Emissions|BC</td>\n",
       "      <td>Mt BC / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Emissions|OC</td>\n",
       "      <td>Mt OC / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Emissions|NH3</td>\n",
       "      <td>Mt N / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Emissions|CF4</td>\n",
       "      <td>kt CF4 / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Emissions|C2F6</td>\n",
       "      <td>kt C2F6 / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Emissions|C6F14</td>\n",
       "      <td>kt C6F14 / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Emissions|HFC23</td>\n",
       "      <td>kt HFC23 / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Emissions|HFC32</td>\n",
       "      <td>kt HFC32 / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Emissions|HFC4310</td>\n",
       "      <td>kt HFC4310 / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Emissions|HFC125</td>\n",
       "      <td>kt HFC125 / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Emissions|HFC134a</td>\n",
       "      <td>kt HFC134a / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Emissions|HFC143a</td>\n",
       "      <td>kt HFC143a / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Emissions|HFC227ea</td>\n",
       "      <td>kt HFC227ea / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Emissions|HFC245fa</td>\n",
       "      <td>kt HFC245fa / yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Emissions|SF6</td>\n",
       "      <td>kt SF6 / yr</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      variable              unit\n",
       "0   Emissions|CO2|MAGICC Fossil and Industrial         Gt C / yr\n",
       "1                   Emissions|CO2|MAGICC AFOLU         Gt C / yr\n",
       "2                                Emissions|CH4       Mt CH4 / yr\n",
       "3                                Emissions|N2O      Mt N2ON / yr\n",
       "4                                Emissions|SOx         Mt S / yr\n",
       "5                                 Emissions|CO        Mt CO / yr\n",
       "6                              Emissions|NMVOC     Mt NMVOC / yr\n",
       "7                                Emissions|NOx         Mt N / yr\n",
       "8                                 Emissions|BC        Mt BC / yr\n",
       "9                                 Emissions|OC        Mt OC / yr\n",
       "10                               Emissions|NH3         Mt N / yr\n",
       "11                               Emissions|CF4       kt CF4 / yr\n",
       "12                              Emissions|C2F6      kt C2F6 / yr\n",
       "13                             Emissions|C6F14     kt C6F14 / yr\n",
       "14                             Emissions|HFC23     kt HFC23 / yr\n",
       "15                             Emissions|HFC32     kt HFC32 / yr\n",
       "16                           Emissions|HFC4310   kt HFC4310 / yr\n",
       "17                            Emissions|HFC125    kt HFC125 / yr\n",
       "18                           Emissions|HFC134a   kt HFC134a / yr\n",
       "19                           Emissions|HFC143a   kt HFC143a / yr\n",
       "20                          Emissions|HFC227ea  kt HFC227ea / yr\n",
       "21                          Emissions|HFC245fa  kt HFC245fa / yr\n",
       "22                               Emissions|SF6       kt SF6 / yr"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rcp26.meta[[\"variable\", \"unit\"]].drop_duplicates()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The regions included are"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['World|Bunkers', 'World|R5LAM', 'World|R5MAF', 'World|R5ASIA',\n",
       "       'World|R5REF', 'World|R5OECD', 'World'], dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rcp26[\"region\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A plot of four categories in RCP3PD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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0NDQb42oHDhxQZs2apXh7eysODg5KUFCQ8utf/1r56quv2lXvijfeeEPRarXKpUuXWiyPj49XJkyYoCjK9bfiUxRFqa2tVV599VVl1KhRilarVVxcXJQ77rhD+etf/9qk3pX32dLP//t//09RFEUpLy9XXnrpJSU4OFhxcnJSAgIClLlz5ypnzpy5ZgxCiO5FpShd8ISNEEL0Qfv372fy5Mld8iBjWwQGBrJ8+fImD/IJIYToWLLmWgghhBBCiA4iybUQQgghhBAdRJJrIYToJIGBgSxbtszWYVglJiYSHh5u6zCEEKJXkzXXQgghhBBCdJAevxVffn6+Tcb18vKipKTEJmOLRjIHtidz0D3IPNiezEH3IPNge715Dn5+QFprZFmIEEIIIYQQHUSSayGEEEIIITqIJNdCCCGEEEJ0kB6/5loIIYQQojtSFIWamhosFgsqlcrW4XSJwsJCamtrbR1GuymKgp2dHY6Oju2eM0muhRBCCCE6QU1NDfb29mg0fSfd0mg0qNVqW4dxU8xmMzU1NTg5ObWrvSwLEUIIIYToBBaLpU8l1r2FRqPBYrG0u70k10IIIYQQnaCvLAXpjW5m7iS5FkIIIYQQooNIci2EEEIIIVq0e/du/vznP9s6jB5FFgIJIYQQQvQBiqJYd8Noq6lTpzJ16tROjKr3keRaCCGEEKKXOnfuHAkJCdx6661kZ2fzm9/8hq1bt1JXV8eQIUN488036devH3v27GHFihU4OzsTGRnJ2bNnef/999m2bRvHjx/nlVde4dy5c7zwwgtcvHgRnU7Hm2++ib+/P4mJibi6unLs2DGKi4tZsmQJ9913n63fus3IshAhhBBCiF7s9OnTzJs3j7/97W98/PHHbNu2jX/+85+MHTuWjRs3UlNTw0svvcQHH3zAP/7xD0pLS1vsZ+nSpTz44IOkpaXxwAMP8PLLL1vLCgsL2b59Ox988AGvvvpqV721bkmSayGEEEKIXmzQoEFERESQlZXFyZMnmTVrFjExMXz66aecP38eo9HIkCFDCAgIACA+Pr7FfrKysrj//vsBmD17NkeOHLGWTZs2DTs7O4KDgykuLu78N9WNybIQIYQQQohezNnZGWhccz1x4kT+8pe/NCn/5ptvbnoMBwcH638rinLT/fVkcufa1hQFVUODraMQQgghRC8XERHBl19+yenTpwGoqqoiNzeXYcOGcfbsWc6dOwdASkpKi+31ej3JyckA/P3vfycqKqprAu9h5M61DdmZzehyT6OyKBSHjADZbF4IIYQQnaR///68+eab/Md//Ad1dXUA/O53v2PYsGGsWbOGuXPn4uzszNixY1tsv3r1ap5//nn+93//1/pAo2hOpfTwe/f5+fk2GdfLy4uSkpJ2t7err6d/7mnsa2oBKBkWRJ2rS0eF1yfc7ByImydz0D3IPNiezEH30N3moaqqyroko7urrKykX79+KIrC4sWLCQoKYsGCBTfcj0ajwWw2d0KEXaulufPz82tTW1kW0lkUBVo5l96uvp7+xtOo6+ooHToEi50dzqaLXRygEEIIIUSjDz/8kJiYGCZPnkxFRQW//vWvbR1SjyXLQjqJtryC/qfPUufsTLWnO9Ue7ljs7bGrq8PLeBo7sxnT0CDqXPpR7emBk+kiqkF+KGq1rUMXQgghRB+zYMGCdt2pFs1Jct1JHCorUVQqVBYL7nkXcMu7QJ1LP9R1ddiZGygdFkh9v34AVOk86VdqwrHsEtX9dTaOXAghhBBCtJck153EvroGs1ZLccgINDU1OF28hFNZGaoGC6XDg6i/ah1PvbMT9VotzqaLklwLIYQQQvRgklx3EvuaGmpdGh9QNDs6UjHQkQpfn8bCn+8KolJRrfPA7UIh6tpaGrTaLo5WCCGEEEJ0BHmgsROozA2o682YHR1/VqBqdbu9Kk9PFMDZVNb5AQohhBBCiE4hyXUnsK+pAaDeyfE6Nf/N4mBPrasLTqaLjTuNCCGEEEKIHqdLkuu//OUvPPnkk/znf/5ni+UHDhxg0aJF/Od//idLly7lzJkzXRFWp9FUVwNQ//M719dRrfNEU1+Pw+XKzghLCCGEEH3MsmXL2LRpk/V1QkICixYtsr5esWIFSUlJbe5vxIgRLV5PTExk586dAKxfv55t27YBsG3bNkaPHm3d5m/+/PlU/5QntUdUVBQmk6nd7btClyTXkyZNYvHixa2W+/j4sHz5ctavX8/s2bPZuHFjV4TVaexrarGo1Vjsb2xJe7W7m+x5LYQQQogOExkZicFgAMBisWAymcjJybGWGwwG9Hr9dfu5mYNh4uLiSE1NZd++fTg4OLR6vHpna2ho6JJxuuSBxltuuYWioqJWy4ODg63/PWLECEpLS7sirE5jX13deNf6Ro8zt7Nr3PP64kVUDbLntRBCCNFbWD7ehHLudIf2qRochN0v51+zjl6vZ/ny5QDk5OQQHBxMUVERZWVlODk5YTQaCQsLY9WqVezbtw+VSsWzzz7LrFmzyMjIYN26dbi7u2M0Gjl48KC1X0VRWLp0Kenp6fj5+eHg4HDdeM1mM1VVVbi7uwONd7vvuece7rvvPqAxBzx16hQZGRm88cYbeHp6kpOTw5gxY/jTn/6E6qq8qrq6mvnz5xMbG8vcuXP529/+xpYtW6irq+PWW2/l1VdfRa1WM2LECB5++GEOHDjAmjVrSEtLY/fu3Wg0GiZOnMjvf//7G/3Yr6vb7Rayd+9ebr311lbL09LSSEtLA+C1117Dy8urq0JrQqPRtDy2omBf+x2Wgb7tik2lsceu1IR3gwXLgAEdEGnv1eociC4jc9A9yDzYnsxB99Dd5qGwsBCNpjHVMtvZYbnRm27XYWdnZ+2/NYMGDUKj0VBQUMBXX33FbbfdxoULF/j6669xc3MjNDSUffv28d1337Fv3z5KS0uZNm0ad9xxB2q1muzsbL744guGDBli7VOj0fDZZ5/xww8/cPDgQYqLi7nzzjtJSEiwxqVWq9FoNKjVanbs2MGXX35JYWEhw4YNIzY2FrVa3aTe1X2r1Wq++eYb0tPT8fX15b777uPo0aNERUWhUqmoqalh4cKFPPTQQzz00EOcPHmSHTt2sHPnTuzt7XnppZdITk7moYceoqqqCr1ez6pVqzCZTCxatIhDhw6hUqm4dOlSq5+fVqtt9+9St0quv/nmG/bt28fKlStbrXPPPfdwzz33WF+XlJR0RWjNeHl5tTi2uraOAQ0NVABV7YlNUfDROqD8cIYSe82N3/3uQ1qbA9F1ZA66B5kH25M56B662zzU1taivvJX6Iee6JS1uG1ZrqHX68nMzCQzM5MFCxbg6+tLZmYmbm5u6PV6/vWvfzFr1iwURUGn0xEVFUVWVhYuLi6Eh4fj7+/fZByz2cyhQ4esbby8vJgwYYJ12YXFYqGhoQGz2UxDQwMzZ87klVdeQVEUFi9ezJ/+9Cd++9vfNql3dd8NDQ2Eh4fj4+ODxWLhlltu4cyZM0RERKAoCo888ggLFy7kgQcewGw288UXX3D8+HGmTp0KQE1NDTqdDrPZjFqtZtq0aZjNZpydnXFwcOC5556z5pOtfX61tbXNfpf8/PzaNCfdZreQs2fPkpSUxIsvvoirq6utw2m39uwU0oRKRflAX+xrauhX3H3+ByGEEEKInkmv12MwGDhx4gQhISGMGzeOrKysNq23dr7q0LubpVKpiImJITMzE2i8S22xWIDGhLy+vt5a9+plJmq1ukkSHBkZyb59+1B+2l1NURQefPBBUlNTSU1N5cCBA9ZNNLRarfULzpU77jNmzCAtLY25c+d22Hu7WrdIrktKSvjDH/7Ab3/72zZ/K+iuNNWNybXZsf0HwdS4u1Hj5oprQSHq2rqOCk0IIYQQfZBeryctLQ0PDw/UajWenp6Ul5eTlZWFXq8nKiqKlJQUGhoaKC0tJTMzk/Dw8Gv2GR0dbW1TWFhIRkZGm2I5cuSIdYnJoEGDyM7OBmD37t1NkutrefHFF/Hw8LBulnHHHXewc+dO653mixcvcv78+WbtKisrqaioYMqUKSxfvpzvvvuuTePdqC5ZFrJhwwa+++47KioqePrpp3nooYes30CmTp3KX//6Vy5fvszbb78NNH5Dee2117oitA5nX1OD2cH+5h5GVKkoG+SHz4lTuJ/PwzQ0UJaHCCGEEKJdQkNDMZlMxMfHW6+FhIRQWVmJTqcjNjaWrKwsYmJiUKlULFmyBB8fH4xGY6t9xsbGcujQISZNmoS/vz8RERGt1k1JSeHIkSMoisLAgQN58803AZg7dy6PPfYY99xzD5MnT76hu+QrV67khRdeYPXq1SxdupTf/e53/OpXv0JRFDQaDa+88gqDBg1q0uby5cs8/vjj1NbWoigKy5Yta/N4N0KlKD37xJL8/HybjNvaui7v709i1mq5OHRIC61uTL/iEtzzLnAxYBDVOs+b7q+36W5r6/oimYPuQebB9mQOuofuNg9VVVUduqyiJ9BoNKxdu5ZBgwYxZ84cW4fTbi3NXY9bc90rWCxoamsxO7V/ScjVKr36U+fshFveBVQ3sb+kEEIIIYToGpJcdyBNTS0qoN7JqWM6VKkoGzwIu4YG3PMudEyfQgghhBCdaPz48YwaNcrWYdhMt9qKr6e7slPIzTzM+HNmJ0cuD/DGtbCYKp0nda4uHda3EEIIIURHu/32220dgk3JnesOZF9dg6JSYdZ2XHINUDHAB7PWAY9zefDTljVCCCGEEKL7keS6A2lqaqh31Hb8zh52dpQN8kdTV4drQevHyAshhBBCCNuS5LoD2VfXYHZs5+Ex11Hn6kKlzhOXomI01dWdMoYQQgghhLg5klx3EDuzGbXZ3P6TGdug3M8Xi0bTuDykZ++gKIQQQogusGzZMjZt2mR9nZCQwKJFi6yvV6xYQVJSUpv7GzFiRIvXExMT2blzJwDr169n27ZtAGzbto3Ro0cTExPDxIkT2bhxo7XN1WUxMTF89NFHAJw7d4677767xXHMZjOjR49mzZo1Ta7/4he/IDIykqt3mH788cdbjbczSXLdDo5ll5qtfbaezNiJybWi0XDJfyAOVdX0Ky7ttHGEEEII0TtERkZiMBiAxiPGTSYTOTk51vK2HIEONDl+/EbFxcWRmprK9u3beeutt8jLy2tWlpqaSkJCwnX7Sk9PZ+jQoezcuZOfH9Xi7u7Ol19+CcClS5coKrLNUlrZLeQGaaqr0Z35EUvFZfAfCHaN30+u7BRS30nLQq6o8XCnxnQR14JCajzcaHBw6NTxhBBCCHHz3jYUcvpiTYf2GeTpyJP6Adeso9frWb58OQA5OTkEBwdTVFREWVkZTk5OGI1GwsLCWLVqFfv27UOlUvHss88ya9YsMjIyWLduHe7u7hiNRg4ePGjtV1EUli5dSnp6On5+fji0IR/R6XQEBgZSVFSEv79/u97z9u3beeKJJ3j//fcxGAxERkZay+Li4khOTua2225j165dxMbGNvki0VXkzvUNMjs5UTbYH1Wpif65Z1A1NACNd64b1Gosmk7+vqJScWmwP6Dgfj5flocIIYQQolW+vr5oNBry8vIwGAxERERw6623kpWVxfHjxwkJCSEtLY1vv/2W1NRUPv74Y1avXk1hYSEA2dnZrFy5skliDbBr1y5yc3PZv38/f/zjH613x68lLy+P2tpaQkNDrdc+//xz7rnnHubPn9/kjnZLampqOHjwIDExMcTHx5OcnNyk/I477iAzM5OGhgaSk5OJi4tr68fUoeTOdTtU9dfh4u6Owzff0T/3NKVDA7GvqWlcEtLRO4W0oMHBgQpfX9zzL+BYdokaT49OH1MIIYQQ7Xe9O8ydSa/XYzAYMBgMLFiwgIKCAgwGA25ubkRGRnLkyBHi4+NRq9V4e3sTHR3NsWPHcHFxITw8nICAgGZ9Hj582NrG19eXCRMmtDp+SkoKmZmZGI1GVq9ejeNPf+W/kiRrtVq2bt1KYmIin376aav9pKWlcfvtt+Pk5MT06dPZsGEDK1asQK1WA6BWq4mMjCQ5OZmamhoGDx58k59c+8id63ay+A7AFDQE++oavIynf9qGr3OXhFyt0rs/dU5OuMvR6EIIIYS4hisKWW4hAAAgAElEQVTJ9YkTJwgJCWHcuHFkZWW1ab21s7PzTY8fFxdHWloaycnJvPrqq9a10DqdDu1PZ4MkJCSQnZ19zX6Sk5M5cOAAUVFRxMbGcvHiRQ4dOtSkzqxZs3j55ZeZOXPmTcfdXpJc34RadzdKhwairqvFzqJ06k4hzahUlA32x85sxi2/oOvGFUIIIUSPotfrSUtLw8PDA7VajaenJ+Xl5WRlZaHX64mKiiIlJYWGhgZKS0vJzMwkPDz8mn1GR0db2xQWFpKRkXHdOMaOHcvs2bPZvHkzgHXpCcDu3bsZPnx4q20rKirIzMzkyJEjZGZmkpmZyZo1a9i+fXuTelFRUTzzzDPEx8dfN57OIstCblKdqwulw4JwLSii1tW1S8c2Oztx2ccL16ISqj095Gh0IYQQQjQTGhqKyWRqknCGhIRQWVmJTqcjNjaWrKwsYmJiUKlULFmyBB8fH4xGY6t9xsbGcujQISZNmoS/vz8RERFtimXhwoVMmzaNZ555hi1btrB7927UajUeHh5s2LDBWi83N7dJny+99BITJkyw3ukGmDp1KqtXr6a2ttZ6TaVS8fTTT7cpls6iUn6+j0kPk5+fb5Nxvby8KCkpscnYV1NZLHifOAVAUcgI6+4lfUF3mYO+TOage5B5sD2Zg+6hu81DVVVVhyyr6Ek0Gg1r165l0KBBzJkzx9bhtFtLc+fn59emtn0nE+ulFDs7ygbL0ehCCCGEEN2BLAvpBepcXajy9MClqJhqT3fMTk62DkkIIYQQfdT48eNxc3OzdRg2I8l1L3HJfyDa8go8zuVRMmJYl2wJKIQQQgjxc7fffrutQ7ApWRbSSygaDeVXjkYvkaPRhRBCCCFsQZLrXqTa04MaVxdcLxSirquzdThCCCGEEH2OJNe9iUrFpUFyNLoQQgghhK1Ict3LNGgdqPAdgGN5BY5ll2wdjhBCCCFEnyLJdS9U6e111dHoDbYORwghhBA2smzZMjZt2mR9nZCQwKJFi6yvV6xYQVJSUpv7GzFiRIvXExMT2blzJwDr169n27ZtAGzbto3Ro0cTExPDxIkT2bhxo7XN1WUxMTF89NFHAJw7dw5/f3/Wrl1rrWsymRgyZAhLlixpMm5MTAy/+c1vmsUSHR1t7ffKiZBdRZLr3qjJ0egXbB2NEEIIIWwkMjISg8EAgMViwWQykZOTYy03GAzo9frr9mM2m9sdQ1xcHKmpqWzfvp233nqLvLy8ZmWpqakkJCRYrwcEBLBnzx7r6x07djBy5Mgm/Z46dQqLxcKRI0eoqqpqUrZ06VJrv0888US7Y28P2YqvlzI7O1Hp44WLHI0uhBBC2Nw3R6soL+vYvya7eagJG3ftEyD1ej3Lly8HICcnh+DgYIqKiigrK8PJyQmj0UhYWBirVq1i3759qFQqnn32WWbNmkVGRgbr1q3D3d0do9HIwYMHrf0qisLSpUtJT0/Hz88PBweH68ar0+kIDAykqKgIf3//a9Z1cnJixIgRHDt2jLFjx7Jjxw5mzpxJYWGhtc727duZPXs2p06d4p///Cf333//dWPoCnLnuher8B2A2cEBj/N5YLHYOhwhhBBCdDFfX180Gg15eXkYDAYiIiK49dZbycrK4vjx44SEhJCWlsa3335LamoqH3/8MatXr7YmsdnZ2axcubJJYg2wa9cucnNz2b9/P3/84x+td8evJS8vj9raWkJDQ63XPv/8c+655x7mz5/f5I42wKxZs0hOTiYvLw87OzsGDBjQpDwlJYVZs2YRHx/P9u3bm5StXr3auizk+++/v6HP7GbJneteTLGz49JgP/rnnsG1sIiKgb62DkkIIYTok653h7kz6fV6DAYDBoOBBQsWUFBQgMFgwM3NjcjISI4cOUJ8fDxqtRpvb2+io6M5duwYLi4uhIeHExAQ0KzPw4cPW9v4+voyYcKEVsdPSUkhMzMTo9HI6tWrcXR0BBrXS8fHx6PVatm6dSuJiYl8+umn1naTJk3i9ddfx9vbm7i4uCZ9Hjt2DJ1Oh7+/P76+vrzwwgtcvHgRT09PoHFZyH333dcRH98NkzvXvVytq2vj0eiFxWiqa2wdjhBCCCG62JXk+sSJE4SEhDBu3DiysrLatN7a2fnmvxTExcWRlpZGcnIyr776KkVFRUDjMhGtVgs0PmiZnZ3dpJ2DgwNjxowhKSmJGTNmNCnbvn07RqORqKgobr/9di5fvsznn39+07F2BEmu+4By/4FY1Go8zp2Xva+FEEKIPkav15OWloaHhwdqtRpPT0/Ky8vJyspCr9cTFRVFSkoKDQ0NlJaWkpmZSXh4+DX7jI6OtrYpLCwkIyPjunGMHTuW2bNnW3fvuHr99O7duxk+fHizNk899RSLFy+23pGGxgczd+zYwZ49e8jMzCQzM5MtW7Y0WxpiK7IspA+w/HQ0uueP53EuKaXK28vWIQkhhBCii4SGhmIymYiPj7deCwkJobKyEp1OR2xsLFlZWcTExKBSqViyZAk+Pj4YjcZW+4yNjeXQoUNMmjQJf39/IiIi2hTLwoULmTZtGs888wxbtmxh9+7dqNVqPDw82LBhQ7P6wcHBBAcHN7mWmZmJr68vvr7/Xu4aHR3NqVOnmiTstqJSlJ59KzM/P98m43p5eVFSUmKTsdtFUdD9cAaHyiqKQkZgacNTvd1dj5uDXkjmoHuQebA9mYPuobvNQ1VVVYcsq+hJNBoNa9euZdCgQcyZM8fW4bRbS3Pn5+fXprayLKSvuHI0uqLgIUejCyGEEEJ0ClkW0oc0aB2oGDgA9/wCHC+VU+PhbuuQhBBCCNHLjB8/Hjc3N1uHYTOSXPcxld5eOF0sw/18HiqLhWpPD1CpbB2WEEIIIXqJ22+/3dYh2JQsC+lrVCrKhgzGorHH88fz+HyXg3NxqRwyI4QQQgjRAeTOdR9kdnSkOHg42vIKXIuK8cjLx7WwiErv/lR69UdRq20dohBCCCFEjyTJdV+lUlHr7katmysOlVW4FBbhdqEQl8JiKr36U+nthcVefj2EEEIIIW6ELAvp61Qq6lz6YRoWRPHI4dS6ueJSVMyA707gfj4PdV2drSMUQgghRDstW7aMTZs2WV8nJCSwaNEi6+sVK1aQlJTU5v5GjBjR4vXExER27twJwPr169m2bRsA27ZtY/To0cTExDBx4kQ2btxobXN1WUxMDB999FGTPjdt2sTQoUMpLy+3Xquurua3v/0tU6ZM4e677yY+Pp7KysoWY2upfVeQ5FpY1Ts7cTEwgKKQkVR5euBcehGf73LwOHsOTY0cnS6EEEL0NJGRkRgMBqDxZEOTyUROTo61vC1HoAOYzeZ2xxAXF0dqairbt2/nrbfeIi8vr1lZamoqCQkJTdolJyczduxYdu3aZb329ttv4+XlxZ49e9i7dy9/+MMf0Gha/kt7S+27gvzdXzTT4KjlUsAgKnwH4FJcjHOpCeeLZVS7u3HZx5v6fn1rQ3whhBDiZqWnp1NcXNyhfXp7ezNx4sRr1tHr9SxfvhyAnJwcgoODKSoqoqysDCcnJ4xGI2FhYaxatYp9+/ahUql49tlnmTVrFhkZGaxbtw53d3eMRiMHDx609qsoCkuXLiU9PR0/Pz8c2nA4nU6nIzAwkKKiIvz9/a9Z98yZM1RWVrJmzRreeust64E0P2/b0pHp12rfFSS5Fq2yONhT7u/H5QE+9CsupV9JCU6Xyql16UfFAB/qXPrJNn5CCCFEN+br64tGoyEvLw+DwUBERAQFBQVkZWXh5uZGSEgIaWlpfPvtt6SmpmIymZg+fTrR0dEAZGdns3fvXgICApr0u2vXLnJzc9m/fz/FxcVMnjz5uglsXl4etbW1hIaGWq99/vnnZGZmEhQUxPLly62Jc3JyMnFxcURFRZGbm0txcTHe3t7MmTOHhIQEPvvsM+644w4efPBBhg4d2mys1tp3BUmuxXVZNBoqBg7gso8XzqUmXIpK8Mo9TZ2zE5d9vKlxd5MkWwghhLiG691h7kx6vR6DwYDBYGDBggUUFBRgMBhwc3MjMjKSI0eOEB8fj1qtxtvbm+joaI4dO4aLiwvh4eHNEmuAw4cPW9v4+voyYcKEVsdPSUkhMzMTo9HI6tWrcXR0BCAmJob4+Hi0Wi1bt24lMTGRTz/9FGhMjt9++23s7OyYPn06O3fu5LHHHiMsLIx//etffPHFFxw4cIAZM2aQkpLSbL11a+27giTXos0UtZpKH28qvfrjbLqIS1EJujM/Uu+o5bKPtxxII4QQQnRDV5LrEydOEBISgp+fH0lJSbi6ujJnzhwOHTrUaltn55tfChoXF8crr7zCsWPHSEhIYOrUqfj4+KDT6ax1EhISeOWVVwD4/vvvOX36NL/61a8AqK+vZ/DgwdbkuF+/fkyfPp3p06djZ2fHnj17miTX12vf2eSBRnHj7Oyo8upPUehILg4ZDKjkQBohhBCim9Lr9aSlpeHh4YFarcbT05Py8nKysrLQ6/VERUWRkpJCQ0MDpaWlZGZmEh4efs0+o6OjrW0KCwvJyMi4bhxjx45l9uzZbN68GYDCwkJr2e7du63rp7dv384LL7xAZmYmmZmZHD16lMLCQs6fP8+XX35JWVkZAHV1dZw8eZJBgwY1Geda7buC3LkW7adSUe3pQbWHuxxII4QQQnRToaGhmEwm4uPjrddCQkKorKxEp9MRGxtLVlYWMTExqFQqlixZgo+PD0ajsdU+Y2NjOXToEJMmTcLf35+IiIg2xbJw4UKmTZvGM888w5YtW9i9ezdqtRoPDw82bNgANC4j2bp1a5N206ZNIzk5GR8fH/7rv/4LRVGwWCxMmTKFGTNmNKl7rfb/8R//0aY4b4ZKURSl00fpRPn5+TYZ18vLi5KSEpuM3W0pivVAGseKy1js7Dr1QBqZA9uTOegeZB5sT+age+hu81BVVdUhyyp6Eo1Gw9q1axk0aFCX7tDR0VqaOz8/vza17ZI713/5y184evQo7u7urF+/vlm5oii88847fPXVV2i1WhYuXNjik5+im7tyII1LEPZV1bgUFTf+FJdQ1d+Tyz7eNLRhqx4hhBBCiJ6qS9ZcT5o0icWLF7da/tVXX1FQUMBbb73FggULePvtt7siLNGJ5EAaIYQQom8aP348o0aNsnUYNtMld65vueUWioqKWi03GAxMnDgRlUrFyJEjqays5OLFi3h6enZFeKIT/ftAGh9cikvkQBohhBCil7v99tttHYJNdYsHGk0mE15eXtbX/fv3x2QytZhcp6WlkZaWBsBrr73WpF1X0mg0Nhu7x/Lzw1xXh/rceRzP5eF0KheLzpOGwAAUT88b3sZP5sD2ZA66B5kH25M56B662zwUFha2ejR3b9Yb3rNWq23371KPe/f33HMP99xzj/W1rR5c6G4PTfQo7m6oXPpZD6SxP3qsXQfSyBzYnsxB9yDzYHsyB91Dd5uH2tpa1H1s1yyNRoPZbLZ1GDettra22e9St3qg8Xp0Ol2TN1BaWtpkY3HR+8iBNEIIIYTojbrFITJ6vZ709HQUReHkyZM4OzvLeuu+Qg6kEUIIIUQv0iXJ9YYNG1i6dCn5+fk8/fTT7N27l927d7N7924Abr31Vnx8fHj22WdJSkriySef7IqwRHfy04E0xcHDKQ0agsXeHo+8fAZ8l4NLYRGqhgZbRyiEEEL0OMuWLWPTpk3W1wkJCSxatMj6esWKFSQlJbW5v6uPGb9aYmIiO3fuBGD9+vVs27YNgG3btjF69GhiYmKYOHEiGzdutLa5uiwmJoaPPvoIgHPnzjFs2DBiYmKYNGkSzz77LPX19QBkZGQQEhJibRMTE0N6ejoAgwcPbnL93LlzbX5fHalLloUkJiZes1ylUklCLRqpVNS6u1Hr5opDZSUuhcW4XSjEpbC4Uw+kEUIIIXqjyMhIduzYwfz587FYLJhMJioqKqzlBoOB5cuXX7cfs9nc7gcV4+LieOWVVzCZTEycOJEZM2bg7+/fpOznhgwZQmpqKg0NDfzyl79kx44dPPDAAwDcdtttvP/++83aODo6kpqa2q4YO5JkKaJ7Uqmoc3HB5OLS6oE0QgghRE/hUrwDTe2FDu3TrB3IZe+Z16yj1+utyXNOTg7BwcEUFRVRVlaGk5MTRqORsLAwVq1axb59+1CpVDz77LPMmjWLjIwM1q1bh7u7O0ajkYMHD1r7VRSFpUuXkp6ejp+fHw5tOCROp9MRGBhIUVGRNbm+HrVaza233kpBQUGb6ncHklyLbu/KgTTqmlpciopxLjHhXGLCcrkKPN3lwUchhBCiFb6+vmg0GvLy8jAYDERERFBQUEBWVhZubm6EhISQlpbGt99+S2pqKiaTienTpxMdHQ1AdnY2e/fuJSAgoEm/u3btIjc3l/3791NcXMzkyZOve9x5Xl4etbW1hIaGWq99/vnnZGZmEhQUxPLly5sl3TU1NRw9epSVK1darx05coSYmBjr602bNhEYGEhNTY31ekBAAJs3b27fh3aTJLkWPcbVB9K4FhTR78dzuFVVUe4/UBJsIYQQ3dr17jB3Jr1ej8FgwGAwsGDBAgoKCjAYDLi5uREZGcmRI0eIj49HrVbj7e1NdHQ0x44dw8XFhfDw8GaJNcDhw4etbXx9fZkwYUKr46ekpJCZmYnRaGT16tU4OjoCEBMTQ3x8PFqtlq1bt5KYmMinn34KwNmzZ63rpqdMmcItt9xi7a+7LwvpFruFCHEjLA4OXBrsT0PAIFxKSnG9UACKYuuwhBBCiG7pSnJ94sQJQkJCGDduHFlZWRgMBvR6/TXbOjvf/EnKcXFxpKWlkZyczKuvvmo9tVun06HVaoHGBy2zs7Otba6suc7IyOD48ePWTTB6AkmuRc+kUtEwYjiV/XW4FpXgUlhk64iEEEKIbkmv15OWloaHhwdqtRpPT0/Ky8vJyspCr9cTFRVFSkoKDQ0NlJaWkpmZSXh4+DX7jI6OtrYpLCwkIyPjunGMHTuW2bNnW5drFBYWWst2797N8OHDm7XR6XQsXryYP/3pTzf4rm1HloWInkul4tIgP1QWC24FRSh2dlTKg45CCCFEE6GhoZhMJuLj463XQkJCqKysRKfTERsbS1ZWFjExMahUKpYsWYKPjw9Go7HVPmNjYzl06BCTJk3C39+fiIiINsWycOFCpk2bxjPPPMOWLVvYvXs3arUaDw8PNmzY0GKbadOmsX79ejIzM4Hma66fe+457rvvvjaN3xVUitKz/56en59vk3G72xGrfZF1DhQFz7PncCq7RJm/H1Xe/W0dWp8h/w66B5kH25M56B662zxUVVV1yLKKnkSj0bB27VoGDRp03Qccu7OW5q5HHX8uxE1RqRpPd7RY8MjLR7FTUd1fZ+uohBBCCNEHSXItegeViouBAahOn8XjXB7Y2VHt6WHrqIQQQog+Z/z48bi5udk6DJuR5Fr0HnZ2XAwagi73DB5nz6GoVNR4uNs6KiGEEKJPuf32220dgk3JbiGiV1Hs7DANHUK9sxOeZ8+hLa+4fiMhhBBCiA4iybXodRS1mtKhQdQ7atGdPotDxWVbhySEEEKIPkKSa9ErKRo1pmFBmLUO6E6fxb6y0tYhCSGEEKIPkORa9FoWjYbSYUFYNBr6557Bvqra1iEJIYQQXWrZsmVs2rTJ+johIYFFixZZX69YsYKkpKQ29zdixIgWrycmJrJz504A1q9fz7Zt2wDYtm0bo0ePJiYmhokTJ7Jx40Zrm6vLYmJi+Oijj6xlOTk5PPjgg9x5551MmDCBN998kyu7R/+8XUxMDCdPngQgNzeXX//610yYMIF7772Xp556iuLiYjIyMggJCWHq1KnceeedPPDAA512VLo80Ch6NYu9PaXDg+h/6gf6556mZPhQzE6Otg5LCCGE6BKRkZHs2LGD+fPnY7FYMJlMVFT8+3kkg8HA8uXLr9uP2WxGo2lf2hgXF8crr7yCyWRi4sSJzJgxA39//yZlV6uuruaxxx7j1Vdf5a677qK6upr58+fz3nvv8eijj7barqamhkceeYRly5YxdepUADIyMigtLQXgtttu4/333wfgm2++4YknnsDR0ZE777yzXe+rNZJci16vwcGB0uFBeBn/nWA3OGptHZYQQog+5OiFDyirOduhfXo4DmHcwIevWUev11uT55ycHIKDgykqKqKsrAwnJyeMRiNhYWGsWrWKffv2oVKpePbZZ5k1axYZGRmsW7cOd3d3jEYjBw8etParKApLly4lPT0dPz8/HBwcrhuvTqcjMDCQoqIia3Ldku3bt6PX67nrrrsAcHJyYvXq1fziF7+wJtettYuIiLAm1vDvnUt+fjx7WFgYzz//PO+++64k10K0R4NWS+mwIPobf8Ar9wdKhg+jQXv9/xEIIYQQPZmvry8ajYa8vDwMBgMREREUFBSQlZWFm5sbISEhpKWl8e2335KamorJZGL69OlER0cDkJ2dzd69ewkICGjS765du8jNzWX//v0UFxczefLk657ImJeXR21tLaGhodZrn3/+OZmZmQQFBbF8+XL8/f3JyclhzJgxTdoGBgZSVVVlveuekpLCkSNHrOUpKSmcOHGiWbtrCQsL43/+53/aXL+tJLkWfYbZ0ZHSYUF4GU/T/6cE2+Jgb+uwhBBC9AHXu8PcmfR6PQaDAYPBwIIFCygoKMBgMODm5kZkZCRHjhwhPj4etVqNt7c30dHRHDt2DBcXF8LDw5sl1gCHDx+2tvH19WXChAmtjp+SkkJmZiZGo5HVq1fj6Ni4PDMmJob4+Hi0Wi1bt24lMTGRTz/9tE3vqaVlId2FPNAo+hSzkxOlwwKxMzfglfsDdvX1tg5JCCGE6FRXkusTJ04QEhLCuHHjyMrKwmAwoNfrr9nW2dn5psePi4sjLS2N5ORkXn31VYqKioDGZSJabeMyzYSEBLKzswEYOXIkx48fb9LH2bNncXZ2xtXVtdVxgoODm7W7lm+++abVBzRvhiTXos+pd3bGNDQQu/p6+ueexs5stnVIQgghRKfR6/WkpaXh4eGBWq3G09OT8vJysrKy0Ov1REVFkZKSQkNDA6WlpWRmZhIeHn7NPqOjo61tCgsLm61pbsnYsWOZPXs2mzdvBqCwsNBatnv3boYPHw7A/fffz5dffkl6ejrQ+IDjyy+/zMKFC6/Zf3x8PFlZWaSlpVmvHT58mBMnTjSr+91337FhwwbmzZt33bhvlCwLEX1SnUs/TEGB9P/hDLrc05QOG4qiUds6LCGEEKLDhYaGYjKZiI+Pt14LCQmhsrISnU5HbGwsWVlZxMTEoFKpWLJkCT4+PhiNxlb7jI2N5dChQ0yaNAl/f38iIiLaFMvChQuZNm0azzzzDFu2bGH37t2o1Wo8PDzYsGED0PgA45YtW3j55ZdZsmQJFouF2bNn89hjj1n7+fma6zVr1hAZGcl7773HsmXLWLZsGfb29oSGhrJy5UpMJhNHjhxh6tSpVFdX4+XlxcqVKzv8YUYAlXJl08AeKj8/3ybjenl5UVJSYpOxRaOOmANteTm60z9S79S4HltRS4J9I+TfQfcg82B7MgfdQ3ebh6qqqg5ZVtGTaDQa1q5dy6BBg677gGN31tLc+fn5tamtLAsRfVqtmxsXhwzGvqoa3emzqCwWW4ckhBBCiB5MkmvR59V4uFM2ZDAOlyvxPH0WJMEWQggh2m38+PGMGjXK1mHYjKy5FgKo9vRAZbHgcS4Pz7PnuBgYACqVrcMSQgghepwrB7f0VXLnWoifVPXXccl/IE6XyvE4ew569uMIQgghhLABuXMtxFUqvb1QWRTcLhSAnR1lg/3lDrYQQggh2kySayF+5vIAb1QWC66FRSh2Ki75+0mCLYQQQog2kWUhQrSgwteHyz5e9Csx4ZZfIEtEhBBC9EjLli1j06ZN1tcJCQksWrTI+nrFihUkJSW1ub/WTjRMTExk586d7Q+0F5HkWoiWqFSUD/Sl0kuHS3EJrgVFto5ICCGEuGGRkZEYDAYALBYLJpOJnJwca3lbjkAHMMtpxm0mybUQrVE1Lgmp1HniWliES6Ek2EIIIXoWvV5PVlYWADk5OQQHB+Pi4kJZWRm1tbUYjUbCwsJYtWoVd999N1OmTCE5ORmAjIwM7r//fh599FEmTZrUpF9FUViyZAl33nknc+bMobS0tKvfWrcla66FuBaVikuD/VFZLLhdKESxs6PS28vWUQkhhOhh3M7nY19d06F91js5Uj7o2qcG+vr6otFoyMvLw2AwEBERQUFBAVlZWbi5uRESEkJaWhrffvstqampmEwmpk+fTnR0NADZ2dns3buXgICAJv3u2rWL3Nxc9u/fT3FxMZMnT+7RJzJ2JEmuhbgelYqyIYNRKQrueRdQ7Oyo6q+zdVRCCCFEm+j1egwGAwaDgQULFlBQUIDBYMDNzY3IyEiOHDlCfHw8arUab29voqOjOXbsGC4uLoSHhzdLrAEOHz5sbePr68uECRNs8M66J0muhWgLlYqLQwajOn0W93N5KCoV1TpPW0clhBCih7jeHebOdCW5PnHiBCEhIfj5+ZGUlISrqytz5szh0KFDrbZ1dnbuwkh7B1lzLURb2dlhChpCnUs/PH48j2PZJVtHJIQQQlyXXq8nLS0NDw8P1Go1np6elJeXk5WVhV6vJyoqipSUFBoaGigtLSUzM5Pw8PBr9hkdHW1tU1hYSEZGRhe9m+5P7lwLcSN+SrD7/3AGz7PnMKlU1Lq72ToqIYQQolWhoaGYTCbi4+Ot10JCQqisrESn0xEbG0tWVhYxMTGoVCqWLFmCj48PRqOx1T5jY2M5dOgQkyZNwt/fn4iIiK54Kz2CSlF69ga++fn5NhnXy8uLkpISm4wtGtlyDlQNDfQ3nsa+pobSoYHUubrYJA5bk38H3YPMg+3JHHQP3W0eqqqq+tyyCo1G0yu27cYpQK8AACAASURBVGtp7vz82ra0R5aFCNEOilpN6bBAzFoHdKfP4HC50tYhCSGEEKIbkORaiHZSNBpKhwVhsbdH98MZ7KuqbB2SEEIIIWxMkmshboLF3p6SYUOxaNT0zz2Dprra1iEJIYToJnr4yts+7WbmTpJrIW6SxcGe0mFDUezs6J97Gk1Nxx4SIIQQomeys7PrFeuP+xqz2YydXftTZNktRIgO0KB1oGRYEF7GH+ife5qS4UNp0GptHZYQQggbcnR0pKamhtraWlQqla3D6RJarZba2lpbh9FuiqJgZ2eHo6Nju/uQ5FqIDtLgqKV0WBD9jT/Q33ia0hFDaXBwsHVYQgghbESlUuHk5GTrMLpUd9uxxRZkWYgQHcjs5IhpWBB2P23VZ1dfb+uQhBBCCNGFJLkWooPVOztROiwIO7OZ/rmnsZP1dkIIIcT/Z+/Og+S8y0Pff9+3933v2ReNJAsLyYusxbKxjSVhjBJwSGFMAeFwTVH3FudCyL0k5xyfw4WUMeH4QLhV3JxAER+4oXITOTgxxDlgLIJteZEtW5Zt2bL2Gc3Ss/Qyve/ve/8YabDQNpK65+2eeT5VKnVPvzP9SL/p7uf9vb/f8ywbklwL0QRVl5Pk0ADmcoXQ8ZMotbrRIQkhhBBiEUhyLUSTVNxukisGMJfKhE6cRKlLgi2EEEIsdYu2ofHAgQP86Ec/QtM0tm/fflZ/e4B4PM5f/dVfkc/n0TSNT37yk2zYsGGxwhOiKcpeD6nBfgInRwieGCa5cgX6VZT3EUIIIURrW5RPeU3TeOSRR3jggQf47ne/y/PPP8/Y2NhZxzz22GNs3bqVhx9+mC9/+cs88sgjixGaEE1X8nlJDfRhzRcInBwBTTM6JCGEEEI0yaIk18eOHaOzs5OOjg7MZjO33HIL+/btO+sYRVEonG4fXSgUCAQCixGaEIuiFPAz29eLPZsjOHwKpGuXEEIIsSQtyrKQZDJJKBSavx8KhTh69OhZx9x777184xvf4Je//CXlcpmvfvWr5/1Zu3fvZvfu3QB861vfIhwONy/wizCbzYY9t5jTdmMQDlNzObG/c4SO2BT1dWuhzZeItN0YLFEyDsaTMWgNMg7GkzFooSYyzz//PO9///v58Ic/zJEjR/je977Hd77znXPaT+7YsYMdO3bM3zeqULkUSTdeW46B3YaruxPfxCTl115ntr8X2rhrV1uOwRIk42A8GYPWIONgvKU8Bt3d3Qs6blGmzYLBIIlEYv5+IpEgGAyedcy//du/sXXrVgCuueYaqtUq2Wx2McITYlHloxEynR04U7O4p6aNDkcIIYQQDbQoyfXKlSuJxWJMT09Tq9V44YUX2Lhx41nHhMNhDh48CMDY2BjVahWv17sY4Qmx6HIdEYp+H56pGUzlitHhCCGEEKJBFmVZiMlk4v777+ehhx5C0zTuvPNO+vr62LVrFytXrmTjxo185jOf4Qc/+AH/+q//CsAXvvAFlDa+XC7ERSkK6e5ObJkM3okYqRUDRkckhBBCiAZYtDXXGzZsOKdu9X333Td/u7e3lwcffHCxwhHCcJrVSi4axTs5RT6bo+JxGx2SEEIIIa5Se5cqEKLN5aJhalYrvrEJKc8nhBBCLAGSXAthJFUl3dOFpVzGNbM0d1cLIYQQy4kk10IYrOz1UPK48UxOo1arRocjhBBCiKsgybUQRlMU0j3dKLqONzZldDRCCCGEuAqSXAvRAup2G7lIGGcyhSVfMDocIYQQQlwhSa6FaBG5jgh1s1k2NwohhBBtTJJrIVqEbjKR6e7EWiziTKaMDkcIIYQQV0CSayFaSDHgp+xy4pmYRKnVjQ5HCCGEEJdJkmshWsnpzY1qvY5nUjY3CiGEEO1GkmshWkzN6aAQCuKKJzAXS0aHI4QQQojLIMm1EC0o09WBbjLhG5fNjUIIIUQ7keRaiBakm81kujqw5fLYZ9NGhyOEEEKIBZLkWogWVQgFqTrs+CYmUeqa0eEIIYQQYgEkuRaiVZ3e3GiqVnFPTxsdjRBCCCEWQJJrIVpYxe2iEPDjno5jKpeNDkcIIYQQlyDJtRAtLtPdia4oeMdjRocihBBCiEuQ5FqIFqdZLOQ6ojgyWWyZrNHhCCGEEOIiJLkWog3kIiFqNutcaT5NNjcKIYQQrUqSayHagaqS7unGXK7gnkkYHY0QQgghLkCSayHaRNnroeT14J6aRq1WjQ5HCCGEEOchybUQbSTd04Wi63gnJo0ORQghhBDnccnkWtd1pqam0GSdpxCGq9ts5KJhnKlZrLm80eEIIYQQ4ndcMrlWFIWvfOUrixGLEGIBctEodYtlbnOjrhsdjhBCCCHeZUHLQgYHB4nFpMauEK1AN6mkuzuxFEs4E0mjwxFCCCHEu5gXctB73/tevvnNb3LHHXcQDofPemzbtm1NCUwIcWElv49yIok3NkXR70M3L+ilLIQQQogmW9An8uHDh4lGoxw6dOicxyS5FsIAikK6p5vI4aN4Y1Ok+3qMjkgIIYQQLDC5/trXvtbsOIQQl6nmsJMPh3DFE+RDQWpOh9EhCSGEEMvegtZc//jHP2Z4eLjJoQghLle2swPNZJLNjUIIIUSLWNDMtaZpPPTQQ3i9Xm677TZuu+02QqFQs2MTQlyCbjaR7e7EPzqOYzZNMeA3OiQhhBBiWVtQcn3//ffz2c9+ltdee409e/bwT//0T6xevZrbb7+dLVu2YLfbmx2nEOICCsEAzngS70SMkteDbjIZHZIQQgixbC24Q6Oqqtx00018+ctf5qGHHiKTyfDf//t/5/Of/zzf//73SSalJJgQhlAU0r3dmKo13FMzRkcjhBBCLGsLrt9VKBTYu3cve/bsYWRkhC1btvC5z32OcDjME088wTe/+U2+/e1vNzNWIcQFVF1OCgE/7pk4hWCAut1mdEhCCCHEsrSg5Po73/kOr7/+Otdeey0f+MAH2LRpExaLZf7xz3zmM3z2s59tVoxCiAXIdHdiT2fwTcRIDg0aHY4QQgixLC0ouV69ejWf+9zn8PvPv1lKVVV++MMfNjQwIcTl0SwWsp1RfBOT2NIZyj6v0SEJIYQQy86C1lx/5CMfuWBifYbNJpehhTBaPhKmarPhG4+BphkdjhBCCLHsLHhDoxCiDSgKmd4uzJUK7pm40dEIIYQQy44k10IsMWWPh6LPi3tqGrVSMTocIYQQYlm5aHJdLpcXKw4hRANlurtQdPBNTBodihBCCLGsXHRD4xe+8AVWrFjBjTfeyIYNG+jq6lqsuIQQV6Fus5KLRvBMTZPP5ai43UaHJIQQQiwLF02uf/CDH3Do0CFee+01Hn74YTRN44YbbuDGG29k3bp1mM0LLpMthFhk2Y4IjmQK31iMmTWrQFGMDkkIIYRY8i6aHZvNZtavX8/69ev5zGc+w9TUFK+99hq/+MUv+N73vsc111zDjTfeyObNmy9ZTUQIschUlUxPF8HhUzjjCQqRsNERCSGEEEveZU09d3R0cPfdd3P33XdTqVQ4ePAg+/fvx2QysX379mbFKIS4QiWfl7LbhXdyilLAjyZXm4QQQoimuuJPWqvVyoYNG9iwYUMj4xFCNJKikO7tJvLOUTyxSdJ9vUZHJIQQQixpUopPiCWuZreTj4RwJlJYCgWjwxENplaqUK0aHYYQQojTJLkWYhnIdnagmc34xmKg60aHIxpEqdeJHj6KZc8L+EbHMZdKRockhBDLniTXQiwDuslEpqsTa6GAIzVrdDiiQRzJFGq9jh4K4kymiL5zlODxk9gyWTmJEkIIg1x0zfXo6Cj79+/nnnvuOeexn/3sZ9x000309i5sDeeBAwf40Y9+hKZpbN++nT/4gz8455gXXniBf/zHf0RRFAYGBvjjP/7jBf4zhBCXUgz6cSUSeCcmKfm86CaT0SGJq6HruOJJKk4HXL+e5OQkzngSVzxB6MQwVZuNfCREMRBAN8k8ihBCLJaLvuP+9Kc/JRQKnfexSCTCT3/60wU9iaZpPPLIIzzwwAN897vf5fnnn2dsbOysY2KxGI8//jgPPvggf/mXf8lnP/vZhf0LhBALc3pzo1qr4ZmcNjoacZVs2RyWcpl8eO49WjObyXVGmVq7hlR/L7qq4h+boOPtQ3gmYpgqFYMjFq1IqWvY0hl8o+O4J6dR6nWjQxKi7V105vrIkSP8+3//78/72KZNm/jJT36yoCc5duwYnZ2ddHR0AHDLLbewb9++s2a9f/3rX/PBD34Q9+lOcj6fb0E/WwixcFWnk0IwgGsmTiEUoGa3Gx2SuEKueIK62UzR78P17gdUlWIwQDHgx5ov4IoncE/HcU/HKfl95CIhqk6nNBVaxkyVCrZMFns6gy2XR9F1NFVF1TTcM3Fy0Qj5cEiueAhxhS6aXOdyOVT1/C8uRVHI5XILepJkMnnWDHgoFOLo0aNnHTMxMQHAV7/6VTRN49577+WGG24452ft3r2b3bt3A/Ctb32LcNiYxhhms9mw5xZzZAyukNcLL7xEeDpO7cbrryrJkjEwSKGIJZNFWzFAOBq98DhEgMEBqqUSptFx7OMTOGbTaF4PWl8vWkcULvAeLy5PS78WdB0lnUGNJ1DicdRcfu7LDgdabw9aJIzu96Hk8piOn8Abm8STSFAfHEDr6YY2WkLW0uOwTMgYXCK5jkajHDlyhLVr157z2JEjR4hGow0LRNM0YrEYX/va10gmk3zta1/j29/+Ni7XWXMy7Nixgx07dszfj8fjDYvhcoTDYcOeW8yRMbhyro4IvvEYueMnKPmv/CqRjIExvOMTWIAZpwMtHl/YOAR8KF4PjlQK10wCy1uHqB8+Sj4cohAOSoOhq9RqrwWlXseWzc3NTmeymOp1dKDidlHq7qTk9VK3WedOrrU6JJNz39jXgzXgxzM5he3IMeonh8l2RCkEA21xItZq47AcLeUx6O7uXtBxF3033b59O9///vf58pe/zNDQ0PzXT5w4wQ9+8APuvvvuBT1JMBgkkUjM308kEgSDwXOOWb16NWazmWg0SldXF7FYjFWrVi3oOYQQC5cPh3AmkngnYpS8nrb40BRzlHodZyJF0e9Ds1gu63t1k0ohHKIQCmLL5nDNxPFOTuGZmqYQ8JOPhKk5ZKlQuzKVy9jTWeyZDNZcHgXQTCZKXg8lr4eyx4NuvvQsdMXtIrFqCGs2hzc2iX9sAvf0DNnODooBvywpEuISLppc79y5k8nJSR544AFCoRCBQIBUKkUymeSuu+7iQx/60IKeZOXKlcRiMaanpwkGg7zwwgt86UtfOuuYzZs389xzz3HnnXeSyWSIxWLza7SFEA2mKKR7ugkfP4l7eoZcp7zW2oUjNYuqaeQj599sviCKQtnroez1YC6VcM0kcCRTuJIpym4XuUiYstcjSVSr03Ws+Tz2dBZbJoulXAagareRi0Yoez1UXFe+vr7icRN3r8SWzeKJTRE4NYZ7aoZsZ3Tuipf8fghxXpe8Dnj//fezc+dO3nzzTbLZLB6Ph/Xr19PZ2bngJzGZTNx///089NBDaJrGnXfeSV9fH7t27WLlypVs3LiR66+/ntdff50/+ZM/QVVVPv3pT+PxeK7qHyeEuLCKx03R78MzNUMxGKButRodkrgUXccVT1Bx2Oc2JTZAzW4n3ddDpqsDVyI1V8rv5Ag1q5V8JEQhGJCyjS1EqdWwZ+aSaXs2i1rX0BWFsttFIRz87XKPhj2hQtnrpezxYE9n8ExOERwZpTo1Q6arQ07ChDgPRdfbu9PAmY2Qi20prylqFzIGV89UqRA5dISy10NqxcBlf7+MweKyZnOEj58k1ddLMRSY/3pDx0HXsc+mcc8ksBYKaKpKIRQgHw43NmlbYpr2WtB1zKeXe9gyGaz5AgpQN5spzy/3cC/eCZCu40jN4pmcxlypUHE6yHZ1UHa7WyLJlvck4y3lMWjImmshxNJWt1rJdUTxTk6Rz+aoeNxGhyQuwjWToG4yUQw0sVSpolAK+CkF/FjyBVzxOK6ZBK6ZBCWfl3wkRMXlaolEasnSNGy5/NzsdCaDuVIFoOKwk+uIUvJ6qDodxoyBosyXenQmU7gnpwkdH6bscpHt6qDidl36ZwixxElyLcQyl4uGcSZT+MYnmFmzWpKmFmUqV7BnMuQ6Iou2AbXqcjLr6ifTVcWVSOCMJ3GkM1TtdnKR8FySL5thG0KtVk8n01ls2Ryqdnq5h8dNLhqh5PWiWS9vA2tTKQqFUJBCwI8zkcIzNU342AlKHjfZzg6qrsYsWxKiHUlyLcRyp6qke7oInRzBNZMgH13e9Ulblet0xaX8BbrmNpNmtZDt6iTbEcWZmsU1EycwOoY3FqMQCpEPBy+7csmyp+uYiyXsp2enrYUiAHWLhWLAT8nroeJxo7f6yYuqUoiEKIYCOOMJ3FMzRI4ep+j1kO3qoOZwGB2hEItuQa/ahx9++Lxf//a3v93QYIQQxih7PZQ8bjyTU6jVqtHhiN+haBrORIqSz+DZS1WlEAoys2Y18ZUrqDqdeKam6Xj7MP6RUSynE0Rxfor221bjHW+/Q/TIMTyTUwBkOjuYvmYVU2vXkO7roezztn5i/S66qpKPRpheu4ZMZwe2XJ7o4WMEhk9hLpWMDk+IRbWgmeu33nrrsr4uhGgzp0vzRQ8fxRubYra/1+iIxLs4UrOo9Tr5SItcVVAUKh43SY8bU7mMayaBM5nCmZql7HKSj4Qp+byyxAhQK1Xsmcz8co8zrcbLHjclr5ey172kZv11k4lcZ5R8OIR7ZgbXTAL7bJpiwE+2s0M2xYpl4aLJ9a5duwCo1Wrzt8+YmpoiEok0LzIhxKKq223kIyHc03HyoaCsmWwVuo5rJkHVbp+rWdxi6jYbmd5usp0dOJNJXPEEweFT1CyW06X8ggtqXLJk6DqWQnE+obYU52Zta1YL+VCQss9D2eVa8mvVdbOJbFcn+UgY99QMrngCR2qWQihItiPaWuvHhWiwiybXZ7oqapp2VodFmCu18vGPf7x5kQkhFl22I4ojOYtvfIL46pUy89gCrPk8llKJ2b6elh4P3WwiH42Qj4SxpzO4ZhL4JibxTE5TDPrJhcPU7Tajw2wsTUOt11HrdZTpGfxj43Otxmu1uVbjLieZrk5KPg81m62lx69ZNLOZTE8XuWgYz9Q0zkQKZzJFPhQk1xFZUrP2Qpxx0eT6C1/4AgDXXHMNO3bsWJSAhBDG0U0mMt2dBE6N4UimKIaCRoe07LlmEmgmE4WA3+hQFkZRKPl9lPw+zIUi7pk4zkQKVzxJyeshHwm1TE1kdB1F01FOJ8jziXK9jlp71+3679w+89jvtIkwmVRKHg9ln5eSx41ulpoBZ2gWC+neHnLRCO7JaVzxBM5kknw4TC4alv8rsaRc8re5VqvNJ9bvvPMOmqbNP7ZmzRpM0rlLiCWlGPDjTCTxxiYp+XzL65J+izFVKtjTGXLRxSu/10g1p4PZgT4y3Z04E0lc8SSh48NU7Tby4TDFoP/qN+3pOoqmodbq50+STyfD539MOydB/l2aqqKZTWgmE7rJRM1mQ3PO3X73192RMDPVamucNLSwutVKur+XXDSCZ2oK9/TckpFcNEw+EpZuoGJJuGhy/atf/YrDhw/zxS9+EYBvfOMb8y3Jy+Uyn/70p9m2bVvzoxRCLJ7TmxsjpysZZHoX1pFKNJ4zngSgEG7vKwiaxUKus4NcNIJjNo17Jo5/bBxvbJJ8KEghHERT1bOT39q5ifD5EmWlXudi6awO8wnwmWS4brWimX6bGGu/kyjPPabOJXoLTJZdfj8s0a50zVC325gd6CcXLeGZnMI7OY17JkEuGiEfDqGb2u9kUogzLppcP/PMM3z+85+fv2+xWPjrv/5rAIaHh/nhD38oybUQS1DN6aAQCuKKJyiEgtQcdqNDWn40DWciScnnpW5dIhUWVHW+u581X8A1E8c9PYNneuai36YrytnJsNlEzW59VyJ8bqJ85rauqjKb3MJqDjupFQPkCsW5JDs2iWsmTq4jQj4UbMsrNkJcNLmenp5mcHBw/n5v72/Lcw0MDDA9Pd20wIQQxsp0deCYTeMbnyCxcoUkKIvMkZrFVK+TDy9+05imUxQqbhcVt2uu82Q6Db+bQL8rSdYVRX7/lriq00FyaBBLPo83NoVvPIZ7Ok62I0ohFJDxF23losl1qVSiVCpht8/NWj344IPzj5XLZUpSGF6IJUs3m8l0deAfm8CezlDy+4wOafnQddzxBFW7jYrbZXQ0TVW3WclHpayrmFN1uUisGsKazeGNTeEfG8c9PUO2M0ox4JckW7SFi15v6e/v54033jjvYwcOHKCvr68pQQkhWkMhFKRqt+Mdj6G8azOzaC5rvoClWCIfDksyIZalisdNfPUQiaEBNJNK4NQYkXeOYk/NwiU2oQphtIsm1zt37uRv/uZvePnll+erhGiaxssvv8z/+B//g507dy5KkEIIgygK6d5uzNUq7qmLr4sVjeOKJ9BM6txMnRDLlaJQ9nqJX7OK5GA/KBAcGSVy+Bi2dEaSbNGyLros5NZbbyWZTPK9732PWq2G1+slk8lgsVj42Mc+xvve977FilMIYZCK20Uh4MM9PUMhGJD2xU2mVqrYZ9Ony5LJZi4h5mun+7w4ZtN4YlOETo5QcTrIdnW0Tt10IU67ZJ3rD3/4w2zfvp0jR46QzWbxeDxcc801OJ2t14ZXCNEcma4u7Oks3vEYqaEBo8NZ0lynu+EuyY2MQlwNRaEY8FP0+3AmU7gnpwkdH6bscpHt6ljy+xNE+1hQSySn08kNN9zQ7FiEEC1Ks1rIdUTwxqYoZLKUvR6jQ1qazpTf83rkCoEQF6IoFEJBCgE/zkQKz9Q04WMnKHnc4HYbHZ0QF19zLYQQZ+QiYWo2K77xCZDNjU3hmE1jqtXJR8JGhyJE61NVCpEQ02vXkO7uxJovYH7tDZR63ejIxDInybXBNE2jXC4bHYYQl6aqpHu6MJcruOIJo6NZenQd10yCqm3pl98TopF0VSUfjZBcMYBSKBA8eUo2OwpDSXJtoGq1yj/+4z/y6KOPossbgWgDZa+XkteDZ3IatVo1OpwlxVIoYi0WyUdCsjlLiCtQ8bipX7sGWy6Hb3RcEmxhGEmuDaLrOk899RRTU1OkUilmZqTMmWgP6Z4uFF3HOzFpdChLimsmjqZK+T0hrobW3UW2I4ormcI9LZ+rwhiSXBtk7969HDt2jJtuuglFUThx4oTRIQmxIHWbjVwkjDM1izKbNjqcJUGtVnHMpimEAugmk9HhCNHWsp1RCgE/3tgUjtSs0eGIZUiSawO888477Nu3j7Vr13LLLbfQ1dUlybVoK7mOCHWLGdPhI3LptQFc8SQg5feEaAhFYbavh7LLhf/UGNZc3uiIxDIjyfUim5iYYPfu3fT29nLnnXeiKApDQ0PE43EymYzR4QmxILrJRLq7CzWbw5lIGh1Oeztdfq/s9VC32YyORoilQVVJruinbrUQPDmCSQoHiEUkyfUiSqfTPPHEE3i9Xnbu3Inp9OXfoaEhAJm9Fm2l5PehBQN4JyZlc+NVmCu/V5NZayEaTDebSQwNogOh48OotZrRIYllQpLrRXJmA6OmaXz4wx/GbrfPP+b3+wkEApJci/aiKNTWXHN6c2PM6GjaliueoGazUvZI8wshGq1us5EcGsBUrRI8OSI1+sWikOR6kRw8eJCJiQluu+02AoHAOY8PDQ0xPj5OqVQyIDohrpDLSS4awZlKY83mjI6m7VgKBayF4tystZTfE6Ipqi4XqYE+rPkCgVNjsk9ENJ0k14sgl8vx/PPP09vby9q1a897zNDQELquMzw8vLjBCXGVsh0RalYr/rFxmRW6TK6ZBJqqUgiee8IthGickt9HpqsTx2waT2zK6HDEEifJdZPpus7TTz9NvV5n27ZtKBeYners7MTpdMrSENF+VJV0bzfmcgX3dNzoaNrGfPm9oJTfE2Ix5KJh8qEgnukZ2YgtmkqS6yY7fvw4J06c4Oabb8bvv3BzCEVRWLFiBSMjI9Rk04VoM2Wvh6Lfh2dqWnblL5AzkUTRddnIKMRiURTSvd2UPG58o+PYMlmjIxJLlCTXTVQul3n66aeJRCLceOONlzx+aGiIarXK2NjYIkQnRGOlu7vQFQXf2ISsabwUXceVSFLyuKnbpfyeEItGUUgN9lOz2wkMn8JclH1OovEkuW6i5557jmKxyPbt21HVS/9X9/X1YbFYZGmIaEua1UK2qwN7Noc9LTXbL8Y+m8ZUlfJ7QhhBN5nmSvSZVIInhqWUqGg4Sa6bZHJykrfeeosbb7yRaDS6oO8xm8309/dz8uRJdJn5E20oHw5RddjxjU+g1OtGh9OyXPEENauVstdjdChCLEua1UJixSBqvU7wxLC8X4mGkuS6SUZHRwHYtGnTZX3f0NAQ+XyeqSnZzSzakKIw29uDWq3hmZTf4fOxFIrY8gUpvyeEwWpOB6nBPizFEoGRUVnOJhpGkusmSaVSuFwubJfZznjFihUoisLbb79NVS5ViTZUdTkphIK4ZhKYC0Wjw2k5rvjp8nshKb8nhNHKXi/p3m7smSze8Zgk2KIhzEYHsFSlUimCweBlf5/dbmdoaIiDBw9y6NAhent7GRwcZHBwEJ/P14RIhWi8TFcn9nQG/9g48dUrZYb2NLVWw5GalfJ7QrSQQjg0V0p0Jk7daiUfDRsdkmhzklw3ga7rpFIp3vOe91zR9999992Mj48zPDzM8PAwzzzzDM888wx+v5+BgQEGBgbo7e3FbJbhE61JN5vIdHcSODWGM5GkIBv3gHeV34vI/4cQrSTT3YmpUsE7EaNutVDyy2SWuHKSnTVBoVCgUqmct835QphMJvr7++nv7+f2229ndnaW4eFhRkZGOHjwIK+//jomk4menh4GBgYYHBzE7/dfsEGNZFESQAAAIABJREFUEEYoBvw4kym8sUlKPh+aZZm/3eg6rniSsttNzW43OhohxLspCrMDfYSOncA/MkrCYqHqchodlWhTy/zTrjmSybnOT1eyLOR8/H4/N9xwAzfccAO1Wo3x8XFGRkYYHh5mz5497NmzB6/XO59o9/b2YrFYGvLcQlyx0w0bIoeP4Z2IMTvQZ3REhrKnM5iqVWZ7u40ORQhxHrqqklwxSPjoMYInR4ivXkndZjU6LNGGJLluglQqBXDFM9cXYzab55eG3H777aTT6flE+9ChQ7z55puYTCa6u7sZHBxkYGCAQCAgs9rCEDW7nVw0jGdqhkIwQMXjNjokw7hmEtSsFim/J0QL0yxmkkODhI8eJ3himPjqlehm2R8hLo8k102QSqWwWCy4XK6mP5fP5+O6667juuuuo1arMTExMb+E5HdntQcGBuYb1QixWHIdURypWXxjE8ysWQULaKi01JiLRWz5POnuTtncKUSLq9ntJAcHCJ0YJjg8QmJocFm+b4krJ8l1EySTSUNmi880oenv7wcgk8nMz2q/8847vPnmm6iqSk9PDytWrGDt2rVYrXLJSzSXrqqke7oJnRzBPRMn17GwpkpLiWsmgaYqFBq0VEwI0VwVj5vZvh4Cp8bwj44z298rJ8ZiwSS5boJUKkVvb6/RYeD1elm/fj3r16+nVqsRi8XmZ7WfffZZ9u3bx8aNG1m/fr1UHhFNVfZ5Kfq8uCenKfr9y2odo1Kr4TxTfk8uLwvRNorBwFwFkclpajYruc4Oo0MSbUIyqgarVCrkcrmmrLe+Gmazmb6+Pvr6+rjtttuIxWLs3buXPXv2sH//fjZv3szatWsxSe1d0STpni6i2Ry+8QmSKwaWzSyQK5GaK78n5QiFaDu5jijm8lyCXbdaKQZb67NdtCZZRNRgs7OzQHM2MzZSV1cXH/3oR/noRz+Kx+PhN7/5DT/5yU84dOgQmqYZHZ5YgjSrlWxnFHsmiz2dMTqcxaHrOOMJym4XNYeU3xOi7SgKs309lN0u/KPjWHM5oyMSbWDRkusDBw7wx3/8x3zxi1/k8ccfv+Bxe/fu5eMf/zjHjx9frNAa6kwZvlZPrs/o6+vj3nvv5SMf+Qg2m42nnnqKv/u7v+PIkSPo0gZWNFg+EqZqt+Mbj6HU60aH03T2dAZztSqz1kK0M1UlOThAzWolePIUplLZ6IhEi1uU5FrTNB555BEeeOABvvvd7/L8888zNjZ2znHFYpFf/OIXrF69ejHCaopUKoWiKPj9fqNDWTBFURgcHOQTn/gEO3fuRFEUfvnLX/L3f//3nDhxQpJs0TiKwmxfN6ZqFc/ktNHRNJ0rnqBmsVDyeY0ORQhxFXSzieTQILqiEDoxjFqrGR2SaGGLklwfO3aMzs5OOjo6MJvN3HLLLezbt++c43bt2sU999zT1qXikskkPp+vLdcuK4rCqlWr+OQnP8ldd91FtVrliSee4NFHH+XUqVOSZIuGqLpc5IMBXDNxzMWi0eE0jblYwpbLz7V+Xybry4VYyuo2K8kVA5iqVYInhkGWUIoLWJQNjclkklDot5dFQ6EQR48ePeuYEydOEI/H2bBhAz//+c8v+LN2797N7t27AfjWt75FOBxuTtCXYDabz/vc2WyWzs5Ow+JqlGg0ytatWzlw4ABPP/00jz/+OIODg2zfvp2BgQGjwwMuPAZi8VzxGHh98OJLhCenqW3csCSTT9Ohw+iqin31KuzW5k4YyGvBeDIGraHp4xCGmsOB5Y2DdE5OU1v/3iX5/nU15LXQItVCNE3jb//2b/nCF75wyWN37NjBjh075u/H4/FmhnZB4XD4nOfWNI14PE5fX59hcTXawMAAn/rUp3jrrbfYt28fjzzyCAMDA2zdupVo1Nh6xecbA7G4rmYMHJ1RAqPjFI4cpRBaWvWflVqdjliMgt9POpNu+vPJa8F4MgatYVHGQVVwdXfim5ik/OZBst1dzX2+NrOUXwvd3d0LOm5RkutgMEgikZi/n0gkCL6rmUKpVGJ0dJQ///M/B+Yqbjz88MP82Z/9GStXrlyMEBsik8mgaVrbbGZcKLPZzPXXX8/atWt54403ePXVV/mHf/gHVq5cyc0333zWVQkhFqoYDOBMpvBOTFLyedGWUK11ZzKJqkn5PSGWqnwkjLlSwTMdp261zi3/EuK0Rfk0W7lyJbFYjOnpaYLBIC+88AJf+tKX5h93Op088sgj8/e//vWv80d/9EdtlVhD+1UKuVwWi4WbbrqJdevWceDAAfbv38/x48dZs2YNW7ZsaatNnKIFKArp3h4ih4/inZic64C2FOg6rniCsstJzekwOhohRDMoCumebkyVKr6xCepWK2Wvx+ioRItYlOTaZDJx//3389BDD6FpGnfeeSd9fX3s2rWLlStXsnHjxsUIo+lSqRSwdJPrM2w2G1u2bOG6665j//79vP766xw5coRrr72WzZs34/VKZQSxMDWHnVw0jGc6TiEYoOJ2GR3SVbNlspgrVTJyqViIpU1RSA30ET52gsDwKeKrh6g55IRaLOKa6w0bNrBhw4azvnbfffed99ivf/3rixBR46VSKZxOJ3b78mgW4XA4uPXWW7nhhht45ZVXePPNN3nnnXdYt24dmzZtwuVq/0RJNF+uowNHKo1vbJyZNavbfnOQK56gbjFL+T0hlgHdZCKxYpDI0WOETgwzs3oVWpM3MIvWJx0aGyiVSi35Wevzcblc3HHHHfy7f/fvWLt2LQcPHuTHP/4xzz33HMUlXGpNNIZuUkn3dmMplXHNtPcmGHOphD2bm1tr3eYnCUKIhdGsFhJDgyh1jdCJ4WXRIEtcnCTXDaLrOslkclkm12d4PB62bdvGpz/9aVavXs3+/fv58Y9/zN69eymXpaOVuLCyz0vR68EzOYWpUjE6nCvmiifQFWXJVT8RQlxczeEgNdiPuVQiMHwKpC/EsibJ9WXSdZ1XxnMk82cnAMVikXK5vKyT6zP8fj933XUXn/rUpxgYGODll1/mxz/+Mfv27aNarRodnmhRmd65EkfesZjBkVwZpV7HkZyl6PctqconQoiFKXs9pHt7sGdz+MYmJMFexuQT4DJN56s8+PQYPD1GyGlmVdDOqpCdqDYLcFaJweUuFAqxc+dOpqen2bt3Ly+++CIHDhxg48aNrF+/HrMkIOJd6lYruY4OvLFJCukM5TZbs+xMplA1jXxkeTdPEGI5K4SDmCplPNNxajYr+WjE6JCEASS7uUxBh5lvfqCfWMnE66MJjiVKvDSWo7s0xrXAdN1Ga/QvbB3RaJSPfOQjxGIxXnzxRfbs2cP+/fvZvHkza9eubctW8aI5ctEwjlQK39gEM243uqlNLq7pOq6ZBBWnk6qU3xNiWct2dWKuVPFNTFK3Win5fUaHJBaZJNeXSa/XOPL8k9x1113s6J+7jJ2v1PnZr8aYPqnyjRdS3DxW47M3RunyWA2OtrV0dXXxh3/4h4yOjvLiiy/ym9/8hldffZUtW7awZs0aVLVNEqkroOs6lbJOqahRKs79XSnr9AxYcLrk5GLe6drX4WMncE9Nk+3uNDqiBbFls5grFZJdHUaHIoQwmqKQ6u/FVKkSGBklbrFQdTmNjkosIkmuL1OhUCCTyfCjH/2I2267jeuuuw6X1YSrnicSCvKp6yI89laC/338BB9aHeC2QS+rgnZMqlQOOKOvr4/e3l5GRkZ48cUXeeqpp3jllVfYsmULq1evRmmzKgu12umkufDbxPndSXSpqFEq6ejaud976kSF933Ajc22dE8sLlfF7aIQDOCenqEY8FNztH5pS9dMgrrZLDNUQog5qkpyaIDwkeMETw4TX72Kuk0m3JYLSa4vk9/v5xOf+ARPP/00zzzzDJOTk2zbto1UKkVnZyd3rwuzY6Wfv3t9hn89kuJfDqfw2Ezc2OliQ7eLG7pcBBzy364oCoODgwwMDHD8+HH27t3LL3/5S1555RVuvvlmVqxYYXiSrWk65dIFkuV33a6dZ4+myQx2h4rDoRKMmHE4VOwOFZtDmbvtVCnkNfY+neOV5/NsvcONamqvk4pmynR3Yk9n8I2Nk1g11NJl7UylMvZsjkxntKXjFEIsLs1sJjE0SOTocYInhomvHkKXvUbLgqLr7b2ddWJiwpDnDQaDPPnkk7z44ouEQiESiQRbtmxhy5Yt88dkynUOxPLsn8ixP5YnXZqrfdnptvCeiIP3hB1cG3HQ57Nd0cy2rutUNZ1STadc0yid/lOu6af/1ii+6/6Zr5VqOi6rysfeG8JlbY0lCZqmceTIEV566SXS6TQdHR1s3bqVvr6+CybZ4XCYePzy6yLruk61qlMq6JRKF55xLpd1+J1Xh6KAzaFgt88lyA6Hgu104nzmtsOhYrYsbDzHRyrs31ugb4WV6zc5DD+huFxXOgYL4Uwk8Y+Ok+rrpRhq3So83rEJXIkkU2vXoFmMaR7RzHEQCyNj0BpacRysuTyh4yepOJ0kVg7CEl4CCa05Bo3S3d29oOPkFOoKqarKpk2biEajPPnkk8C5bc+9NhO3D3q5fdCLpuucTJV5fTLP4XiRA7E8T5/MzP0sBfx2MwGHmYDdRMBhxmJSTifEOqXqbxPn0rsS5VJNQ7vMUyObScFuUcmW67w8luO/vL+3JdaGq6rKe97zHlavXs2hQ4d4+eWXefzxx+np6WHr1q0L/oWu13XKRY3i7yTLc1/7beKsnafGv8WqYHco2B0qXr9l/vbcn7nbNrvS0AS4Z8BKNlPn6NtlPF6Vle9p/SUQi6UQDOBMpPBOxCj5PC0546PU6ziTqbnyewYl1kKI1lZxu5jt7yUwMop/dJzZ/l65yrXEycz1FXr3mVk6neatt95i48aNWK0LS1R1XWcqV+WdeJHRdIVUscZsqUayWCNVrFHTdBxmFZtZxWE5/bdZwX7ma6f/tr/ra/YL3D9z22pSUE+/oN+cyvNfnx0H4M9u6+G6ztZqVV6r1XjrrbfYt28fhUKBgYEBtm7dSjQaBSCdqpFJWkgm8hSL2nxCXa2c++usqnNLNOzO08my/V23zyTOdhWT2Zg3O13XefXFArHRKpve56Kzp32StGbPUJiLRSKHj1EIBUj39Tbtea6UcyaOfzzGzOqVhm5YWsozRe1CxqA1tPI4uCen8U5Oke2Ikl3Cm59beQyu1kIn+iS5vkJL4Zcnlq3w0DNjTGQqfH5jBx+6pvUuvVerVd544w1effVVSqUSK1eu5Lr1mzj4ipVaFWx25ayZ5fPdtlgbO9vcDLWazgv/liOXrfO+7R68/tZYrnMpi/E68I7HcM/EmVk9RNXVQieBuk7knaPoJpX4NasMDWUpvB+1OxmD1tDS46Dr+EfHcSZTpPp7KQZb7zO3EVp6DK6SLAsRl9TlsfLwBwf49nMTfH/fFKfSZT53UwfmFqpsYrFYuOmmm1i3bh0HDhxg//79HD9+HI9zBfd9cidOZ3skoZdiNitsvs3FnqeyvLwnx20f8GCzL+11eQuV7YzimE3jH51gZs2qlrmcasvmsJTLpPpbb0ZdCNGCFIXZ3m5MlQr+0XHqFgsVj9voqEQTyKf3Mue0mPjPd/TyB9cG+Z9HZvnz34ySLZ9nQbLBbDYbmzdv5qZ1H8fnfC+F8ig/+cnfcOLECaNDaxi7Q2XT+1yUyzr7nstTr7f1RaWG0U0m0j1dWEolXDOtMxviis+V3ytK+T0hxEKpKsnBAWo2K8GTI5hLJaMjEk0gybXApCr8LxuifOnmTt6eLvKnTw4zli4bHdY5Ro5XmJowcfPNt/KZz/wRoVCIJ554gldeeYU2X900zx80c+MWJ6lEndf3FZbMv+tqlXxeSl4Pnslp1Mp5ah8uMlO5jC2TpRAKLvmd/0KIxtLNJpJDg+iqSvDEMGrV+Pc00VjyqSDmbV/p5xs7+ihUNf70yRH2T+SMDmleKlHj4GtFol1mrnmvDY/Hw/33388111zDCy+8wJNPPkl1ibxBdfdZWbPezvhIlaOHWu8kxxCKQrqnG0XX8Y0bs8/i3VzxBAD5cNDgSIQQ7ahutZIcGkCt1gieHEHRztNlTLQtSa7FWa6NOPnO3YN0uC08+PQYP38nafjsabmk8crzeewOlRu3OOc3J1qtVj74wQ+ydetWjhw5wmOPPUY2mzU01kZZfa2NngELh98sMTFaMTqcllC3WefWX6cz2DIZw+JQ6nWcCSm/J4S4OlWnk9nBfiyFIv6RUZArlUuGJNfiHBGXhb/4wACbe9088uo0/89Lk1QNWv+razr79xaolHU23uLE+jttwhVFYdOmTfz+7/8+qVSKXbt2EYvFDIm1kRRF4fpNTgIhE6+9VGA2WTM6pJaQi4Sp2mz4xiYMm+lxpGZRNY18JGTI8wshlo6Sz0umuwtHOoN3YtLocESDSHItzsthUfkPt/Xw8XUhdh9P83/9+hTp0uIneO8cLBGfqrH+Jgf+4IWL2wwNDfHxj38ci8XCY489xttvv72IUTaHyaSw6X0ubDaFfc/lKRXlsiGqSrq3G3OlintqevGfX9dxxRNUHA6qTuPqWgshlo58JEQuHMI9E8d5esmZaG+SXIsLUhWFT10f4f+8tZtjyRJf+eUww6nF29k8OV7l2KEy/UNW+odslzw+FApx33330dPTw+7du3n22WfR2nwdm82usvk2N9Wqzst78tRqctmw4nFTCPhxT8cXfae9NZfHUirPzVq3SElAIUSbUxQyPV2UvB58YxPY0sYtexONIcm1uKTbB7188wP9VDX4D78a4aXR5q9rzmfrvPZSHl/AxLoNjgV/n91u55577uH666/nwIED/PznP6fU5qWOvH4TG252kU7VOfCSVBAByHR3oasKvrGJRV2n6JpJUDeZpPyeEKKxFIXUQB9Vh53AyCjmQtHoiMRVkORaLMjqkIPv3D1An8/GXzw7zk8PJpqW5NVqOq88n0dRFDbe6sRkurwZQlVVueOOO9i2bRtjY2M8+uijJJPJpsS6WDp7LKy93k5srMrhg+19stAImsVMpqsTWy6PIzW7KM9pKlewZzIUwlJ+TwjReLpprkSfZjIROjGMWpHN7O1KPiHEgoWcFh7a0c9tA15+8voM330hRqXe2GUXuq7zxisFMmmNDTc7cbquvAPjunXr+MM//EPK5TKPPvoow8PDjQvUAENrbPStsHL07TJjI/KmWwgFqTgdeCcmUWrNb3zkSpwuvxeSjYxCiObQLBaSQ4MomkboxAhKvfWauolLk+RaXBabWeX/uLWLT18f5pnhDA88dYpksXEbHUeOVRgfqbJmnZ1o19WXOevu7uYTn/gEXq+Xn//857z66qttu6xCURSuu8lBMGLi9ZcLpOLLvIKIojDb24Naq+GNNXeXvaJpOBMpSn4fmlXK7wkhmqfmsJNa0Y+5VCIwfEpK9LUhSa7FZVMUhXvXhfmPt/cwmi7zlV8Mcyxx9UsVUvEaBw/MNYpZvfbSGxgXyuPxcO+997Jq1Sqef/55fvWrX1GrtWdiqpoUNt7qwu5Q2fd8nkK+vTdsXq2a00E+HMKZSGLJF5r2PI7ULGq9Tj4ss9ZCiOYrezyk+3qwZ3P4xsYlwW4zklyLK7a1z8O37hpAVeA/PTXCcyNXvsO5XNJ45YVzG8U0isVi4UMf+hBbt27l8OHDPPbYY+RyrdOB8nLYbCqbb3NRr+vsey5Hrbq833SzXR1oFnPzPoB0HddMgqrdTsUl5feEEIujEAqSjUZwJVK4p+NGhyMugyTX4qqsCNj59ocGWRm089+em+D/e2MG7TITnEs1immUMw1nfu/3fo9kMsmuXbuYnGzPov0en4mbtrrIpDX278237VKXRtBNJtI93ViLpfm25I1kzeexlErkpPyeEGKRZbs6KPh9eGOT2Bdp87a4epJci6vmt5t5cHsf24d87HozwcN7JijVFr5cYaGNYhpl5cqV3HvvvZhMJh577DEOHTrU9OdshmiXhXU3OJiaqHHojeVdQaTk81LyuPHEplCr1Yb+7PnyewF/Q3+uEEJckqIw299L2eUkcGoMSz5vdERiASS5Fg1hMal88eZO7t8Q5aWxLP/xVyPM5C+d5Fxuo5hGCYfD3HfffXR1dfHUU0/x3HPPtWXDmcHVVgZWWjn+TpnRk2WjwzGOopDu7UbRdXzjsYb9WFOlgj2doRCS8ntCCIOoKqkVA9QtFoInRjCVl/F7fZuQTwvRMIqicM+1Qf7zHb1M5ap85ZfDvDNz4UL4uStsFNMoDoeDe+65h+uuu479+/fzL//yL5Tb7E1LURTWbXAQ7jDz+itFEjPtuVGzEeo2G9mOCI7ZNLZMYxodOeNz9dEL4WBDfp4QQlwJzWwmsXIQgNCJYZQ23ZS/XEhyLRpuY4+b//rBAexmlf+8+xS/OZE+55izG8W4LrtRTKOYTCbe//73s23bNkZHR3n00UdJpVKGxHKlVFXhplucOF0q+57Lk88t37qouWiEms0617nxaq9EaBrORJKSz0vdam1MgEIIcYXqNhupFQOYKlWCJ0eu/j1ONI0k16Ip+n02/tvdg1wbcfB/vxjj/31tmro2t+nuTKOY7HyjGON/DdetW8dHP/pRisUiu3btYmRkxOiQLovVOldBBODlPXmqlWW6wVFVme3twVyp4Jmauaof5UjNYpLye0KIFlJxu0j192LLF/CPjkmJvhZlfFYjliyvzcTXt/XxodV+/untJH/x7BiFar3hjWIapaen56yGM/v372+rKhxuj4mNtzjJZzVefTGPprVP7I1U8bgp+H24p2cwla5wmY+u444nqNptVNyuxgYohBBXoRTwk+nqwJlK45mcMjoccR6SXIumMqsK/9vmTv7XTR28OpHnm/9zjIOvNb5RTKN4vV4+9rGPMTQ0xHPPPcfu3bvbquFMuMPCug0OZiZrvH3gwuvdl7pMTxe6ouAfm7iimR1rvoClWCIfDkv5PSFEy8lFI+SDATxTMzgSSaPDEb9DkmuxKHZeE+Cr7+tlfclNVq9jH1Ia3iimUaxWKzt37mTLli0cOnSIxx57jHwblT8aXGVjxWorJ49WGD7WXhs0G0WzWMh0dWLL5bDPnrvm/1Jc8QSaSZXye0KI1qQopPt6KHnc+EfHsWbbsynaUiXJ9WWqVDSOvF3i1b0JDr5W5PV9BfbvzfPqC3nefr3IqRNlkjM1ymXZaPBumqZTPg4u1cTr9hx//uwovzrWugXxFUVhy5Yt7Ny5k0QiwT/8wz8wNdU+l9/W3uAg2mXm4P4i8anG1n1uF4VwkIrDgW88hlJf+CZPtVLFPpumEAyim+QtUgjRohSF1GA/NbuN4MkRzMXl3e+glcgnx2Wq1+DwmyXe3J9i9GSZqYkqqXiddKrOySNlXt9X5Pl/y/GrxzP8+l8zFAuSZAMcPlgiPl3jupsc/JcP9XJdp4u/emmSH74yNb/RsRWtWrWKe++9F1VV+elPf8rhw4eNDmlBVFVhw80uXB6VV14okMsuwwoiikK6rxu1VsMTW/iJkSsx1+VRNjIKIVqdbjKRHBpEV1WCJ4Yb3kRLXBnT17/+9a8bHcTVyGYbU892ocxmWH2tnVve30vPoM7K99gZusbGimtsrLrWRt8KK5FOC76AicmJKvmsRk//8i7jNTle5eD+Iv1DVtasc2A1qdw24KVY0/iXwykOx4ts6nFjNV/euZ7T6aRQKDQp6t9yuVysWbOGWCzGgQMHqNVq9Pb2tuyyljNMJoVol5nRkxUmx6v0DFgaXvJwscbgSmkWC6ZaDVc8SdnrQbNcYgOtphE4NUrZ7aYQaZ/kutXHYTmQMWgNy3EcdJOJituNK5HAls3PLWdTjft8Wspj4PF4FnSczFxfJkVRUE3nXy+sqgout4mObgsr32NnzXvtTI5XmRxfvmeSF2oUY1IVPndTB1+8uZOD0wX+9MkRxjMVAyO9OKfTyUc/+lHWrVvHq6++yhNPPNEWDWdcbhMbb3VRyGu8+kJhWVYQyXR1opnN+EYvvbnRMZvGVKuTj4QXKTohhLh6VaeD1EA/lmIR/8gpKdFnMEmum2hojQ2PV+Xg/gK12vL7RV9Io5gdK/08uL2fXKXOnz45zIFY624cNJlMbNu2jfe///2cOnWKRx99lNnZ1l03fkYoYub6jQ7iUzUO7i+2VXnBRtBNJjI9XViLxfmOi+c/UMc1k6Bqk/J7Qoj2U/Z5Sfd04chk8Y7HjA5nWZPkuolUVWH9RifFgs6Rtxa+0SCfq1PIt/da7bMaxWy9eKOYtVEn3757gLDTwp//ZpQnDidbOgG87rrruOeee+Ybzpw6dcrokC6pb4WNle+xMXK8wvDR1r1C0CxFv4+y24U3NnnBNYmWQgFrsUg+EpLye0KItlSIhMlFQrjjCVwzcaPDWbYkuW6yUMRM3worJw6XycxefFOZVtc5fLDIb36R5bndWcql9k2wh9/dKKbz0o1iOtxWvnVXPxt73PzwlWn++uUpqvXWTbD7+vq47777cLvd/OxnP+PAgQMtfUIAcO11djp6zBw8UGQ6tsyWKikKs709KLqOd+L8MzqumQSaKuX3hBDtLdPdRdHrxTsew5bOGB3OsiTJ9SJYe70ds0XhjVcKF0zAZpM1nn0qy5G3ynR0W6hWdfbvLaC34RrZVLzGWwcuv1GM02LiP93ew8feG+LJY7N8/d9OkSm1bgMXn8/Hvffey4oVK3j22Wf59a9/3dINZxRFYcMWF16fyqsv5smml1cFkbrdRi4awZlKn1MTVq1WccymKYQC6CaTQREKIUQDKAqzA31UHQ4CI6ewFJZvQzGjSHK9CKw2lffeYCeVmGv9XSlrlEsaxYJGIVfn7deL7Nmdo1rR2Xybi023uli/YW6N7NFDrb9p7t3KJY1XXsjjcKjceLPzsitqqIrCH90Q4U9u6eJwvMRXnhxhZLZ1/w+sViu/93uNvV0fAAAgAElEQVS/x+bNm3n77bf553/+55ZuOGO2KGx6nxuTSeHlPfllV4892xGhZrXiHxsH7bf/dtfptdhSfk8IsRToJpXk0ACayUzwxDCmyvJbDmgkKcV3hS631IzXbyI+XWPkeIXj75Q5frjMiSNlTh6tkIrX6R+ysul9Lrx+8/zx+ZzGyWMVQhHzRdcstwpN09n3XIF8TuPmO1y43Fc+AzgYsHN9l4tnTqb5xdFZBv02erxnlzRslXI/iqLQ29tLMBjkzTff5PDhw/T09OByteamOItVIRg2c/JomWS8Rm+/FeUKyza1yhgsmKJQs9lwxxPoikLF7T5dfm+MittFoU2rhLTdOCxBMgatQcbht3STibLn/2fvTYPjSNM7v18eVVn3ARRuEAAJEmQ3jyab7GaT082Z1uickbQjaUdjO8L+YNlhRViStasNK/b4sBEbsbsOx64jVutV2PJovLEreTWj9YQ0o7Gk7mlp2OxucprNo8k+CIAgeAAgzrqr8n79IQuFwkESBFFAAaxfREVmobISBTz1Zv7zyf/7PBHC8wsEcvlKib76a4ndHIP1luJriusN8rRfHkmS6OjyEQzJtHf56Ojx0dnjo6vXx/5DAQYOaMuqaUiSRFuHj6kHFhN3TXoH/KhqY0+y+vxjnYm7Fi+9EqS969lre6dCPl4fiHH9YYk//3wBvypxKBWsZsMbbQC3trbS39/P8PAwH3/8MfF4nNbWxsyEBkMy4YjM2LCJXhZ0dKsbqtvdaDFYD46moeoG4fk05WScQL5AKJ0h29ONo63fxtRI7MQ47DaaMWgMmnFYjutTMUMhIrNz+EtlT2DXecL2bo5Bw4nra9eu8S/+xb/gBz/4AaZpcujQoWWvf//73+f3f//3efvtt7l48SIvvvjiujJ/O0VcA6iqRLJVJdmqkmjxHvGkSjC09pWkrEi0tqncGTXIph16+n0N27hk6oHJzas6ffv8DB0OPvkN6yTkU/jS3hiTeZPv3UozXbB4uTuMIksNOYAXG85MTExw7do1HMdp2IYzsYSCEII7Iyaq6mWzn5ZGjMF6MEMhwvML+HQdrVhEyDK5nq4dWyVkp8ZhN9GMQWPQjMNqHM2P4/MTmZtDtiyMWLSux7rdHIOGEteu6/LP//k/5x//43/ML/3SL/Gtb32LF198kVgsVt3GNE2+8Y1v8JWvfAXDMPjhD3/ImTNnnrjvnSSuN4IWkNE0iTvDJpLsie1Go5B3+PG7RaJxr2GJvMmdoVRZ4mxfFFmS+N6tNB8/LHGqJ0JrPNKQA9jn83Ho0CFKpRLXr19ndnaWgYEBVLXxYtfarpLPudwZNoknFSKxp7Py7NSDqFAUhCwTmVtAsWxyne1YDWrjWQ87NQ67iWYMGoNmHNbGDgVBCM8SJ0t1reW/m2PQUB0aR0dH6ezspKOjA1VVOXv2LB9++OGybY4cOYJWuSV74MABFhYe0+zhOaNvn5+ePh+3burMzTRWNYr1NIrZDCRJ4htHU/zPb3RzJ63zO385zuV7GewGraay2HDmi1/8IuPj43znO99pyIYzkiRx/NUQ8aTClYvFJ5aL3E0UU61YwYBXfq8lud0fp0mTJk3qSr6zg1IyTmxqmmC68c5HuwlJbEFx3osXL3Lt2jV+/dd/HYDz588zMjLCr/3ar625/Te/+U0SiQS/8iu/suq1t99+m7fffhuAf/kv/yXmNs2AVVV1S8uuWabLn3/nPpbp8ne+sYdgaPuzoEIIzr89zdhwgZ/+hW56+kJb8nuHZwr87vc+ZaZgEvTJHOmKcaInzvGeGC90RPGrjTX58/bt23z7298G4Fd/9VcZHBzc5k+0mlLR5nvfuY8kSfzC13vX/f3a6nGw6RgGkmkhopHt/iTPxI6Pwy6gGYPGoBmHJ+C6qFeuIWVz2CePIxKbX9d/N8fA71/ffLKGE9fnz5/nr/7qr/in//Sf4vM9ufnI5OTkpn/e9ZBKpZib29ruR7mMw7tv52lJqbx2LrzhCg+bxZ0Rg5tXyhw8EmDocGBLf3fRdBgrKnww+pCbM+VquT6/InEwFeRIe4jDHUGGWoNoDSC2M5kM3//+90mn05w7d45jx441nA87s2Dz3jsF4gmFM29G1nUXYjvGQZPVNOOw/TRj0Bg04/BkJNumbeQ2su0wOzS46RO5d3MMuru717XdlqQ/W1pamJ+frz6fn5+npaVl1XYff/wx3/3ud9ctrJ83YgmFIyeCfHy5zMhnxpYL2loWKo1iOrqfrlHMZhH2K7zZneJo5W5+znD4dKbEzZkSn0yX+E835hA3PL/2UGuAIx0hDreHONQWJLANYjuRSPD1r3+dv/7rv+ZHP/oRc3NzfOlLX0JpoIYliRaVE6dDfPR+iesfljhx+unrlDdp0qRJk8ZGqCrz+wZIDd+m9fY4c0ODuA04J2gnsyX/zcHBQaamppiZmaGlpYX333+f3/qt31q2zZ07d/iDP/gD/tE/+kfE4/Gt+Fg7kr59fuZnbW59otOSUkh1bP1FiKG7fFRpFHO8QQRYTFN4bU+U1/Z4kw0KpsNnM2VPbM+U+NNP5vn2zXkUCfa3BjnSHuRIhye2Q76tEbiapvHzP//zXLx4kQ8//JB0Os3P/uzPEok0jiWhe4+fwlGXWzd0IjGDoRe37wKuSZMmTZrUB0fTWNjXT2r0Di137jI3uHdLamA/L2yJLQTgypUr/Pt//+9xXZc333yTX/7lX+ZP/uRPGBwc5NSpU/yzf/bPuHfvHomK/yeVSvG7v/u7T9zv82QLWcS2BOffymNbgi/+TBQtsHUDwnUFF39UJD1v8/qXI8ST23e1+zQxKFkOn8+WuTld4uZMmdH5Mo4AWYLBlgCH20McaQ/xQnuQiL/+Ynt4eJi3337bmwh66hQnTpxomGoiQgiuXioxcdfi5NkQ3Xse7THbzbf/dgquK0i1plhIzz954yZ1ozkWGoNmHJ6OQCZLy/g9yok46f49m1KibzfHYL22kC0T1/XieRTXsH3+68+ulxn93OD4q0H27N3ehhvPEgPddvl8tswnMyVuTpcYntexXYEE7E1qHO7wxPaL7SFiWn3EdiaT4cKFC4yNjRGLxXj99dcZHBxsiDsBjiP44G8KZDMOX/iJCImWtYX/do+D551C3uGDvylgmRCJycSTCvGkQiKpEE0odave02Q1zbHQGDTj8PREpmeJTT0k395Gvrvzmfe3m2PQFNd1phG+PPfGDK5/uHUTCqcemFx+r0T/oJ9jp7amMsjj2MwYGLbL8HyZT6Y9K8mtuTKm4w2N/oTGkfYghyu+7URgczPM9+/f5/z588zPz9PT08O5c+doa2vb1N+xEQzd5d238ggBb/xUlEBw9R2SRhgHzyvlkst7P8zjOHDgUJzpKe9iyDK9760k1Qpu1VsmFFRfU3DXg+ZYaAyacdgAQhB/MEl4foHMnh5KravnxD0NuzkGTXFdZxrhy1O9fX/P4swXw3X1XxfyDu++lScSVTj7E+urJFFv6hkDy3EZmderEyQ/my1jVMR2b8xfnSB5pCNES/DZxbbruty8eZOLFy+i6zqHDx/mzJkzhELbexGTyzhc+OFS3FV1edwbYRw8j5iGy3vvFNBLLmfejLB/qJO5uTmEEJRLLtm0s+xh6EuH+XBkKcMdTyrEkgqa1vRaPivNsdAYNOOwQYSgZWwcLV9gYd+A18Vxg+zmGDTFdZ1plC/PVvivbVtw4e08ellw7qejhMKNcSLeyhjYruD2gs7NaW+C5KczZcq2C0B31FcV2ofbQ7SFN36Ro+s6P/7xj/n4449RVZVXX32Vl156aVurijycsPjwQpGuXh8nzy6fwNoo4+B5wrYEH/xtgVzG4fQXw6TafU+Mg15eIbgzDuWiW309GJKIJRUSlQx3LKEQCEoNYVHaKTTHQmPQjMPGkRyH1MgYimkyd2AQO7ixO+K7OQZNcV1nGunLU0//tRCCqxe97PjpL4Zp72ycEonbGQPHFYyl9Ypnu8ynsyWKpidWOiIVsV2pSNIe9j21SFlYWODChQuMj48Tj8d544032Lt377aJnduf63x6XefAixqHjgarP2+kcfA84DqCH18oMjttc+psiK5eb7LpRuJgGi7ZjEOuIrgzaYdifklw+zVpWYY7nlQIheWm4H4EzbHQGDTj8GzIpkXbyCgCySvRt4GyyLs5Bk1xXWca7ctTL//1djaKeRKNFAPHFdzNGJ7YninxyUyZvOG1Ek+F1EpTG2+SZFd0/WJ7fHycd999l3Q6zZ49ezh37hytra31/FPWRAjB9Q/L3L9jcuK1EL39Gxd1TTaGcAVXLpaYvG/x0itB+vYtTSjerDjYliCXWcpuZ9M2+azL4llC9eH5txNLgjsSlbe9oVUj0BwLjUEzDs+OWiqTGh3D1vzM79+HeMo7p7s5Bg3VRKZJ/dmz18/czObWv97uRjE7CUWW2NcSYF9LgF841IIrBPezZtVGcvVhkb8dzwHQElQ53B7kcHuIA61B+hJ+/MraVpuBgQH27NnDjRs3uHTpEn/8x3/M0aNHOX36NMFgcM331ANJkjh2Mkix4HD9xyXCYZlkqnn42CqEENy8WmbyvsWLLwWWCevNRPVJtLSptLQtxdZxBPnscg/3+G0D17t2RFG8BldVD3dCIRpvVipp0mSnYoeCpAf20DJ2l+Td+yzs7d+UEn3PE83M9QZpxCuzzfRfG7rL+b/OI8sS5346gs/fGD7rWhoxBo9CCMFEzqxMkPQqkiyUbcCrtd0T8zOQ0BhIBtib0BhIarQE1WUZ7nK5zKVLl7hx4wZ+v5/Tp09z9OjRLfVjG4bLhbcKOI7g9Z+M0tffvmNisJO5dbPM8CcG+w9pvPDS0kVV2Urz4eT/hZBtImoPyUA/yUA/Ma0XRa7fxY/rCgo5t5Ld9jLcubSD7X2lkWSIxpZbSmIJZdWE2N3ETjoe7Waacdg8QnPzJB5MUki1kuvpWrfA3s0xaNpC6kyjfnk2w3/dSI1iHkejxmA9CCF4WLAYS+uMpw3GMwbjaZ2Zol3dJqop7E1o9Cc19iY09iYD9Mb95DNpzp8/z/3790kmk7zxxhsMDAxs2WfPZ70KIqGwzC9+fYBsbmHLfvfzyNiwwSdXy/Tt9XPslWD1giuj3+fde/8K0ynQFhlktjCG7eoAyJJCTOutiO0BEsF+ElofPqV+1i4hBKWCu2zSZDbtYBqVU4wEkWhNpZJKtrsRL9w3wk4+Hu0mmnHYXGITU0Rm58h2d1FsT63rPbs5Bk1xXWca+cvzrP7rT6+Xuf25wfFXQ+zZ++jufNtNI8dgoxRMh7sZoyK4de6kDe5mjGrNbVnySgEOxDU6nDlKY1fRCzn6+/s5d+4cyWRySz7nzJTFpXeL7OkPc+wVFbnpua0LD8ZNrl4q0dnjVWpZ/D8/LNzgvfv/BlUOcK7vdziw5xSzszMUzGnS+l3vUR4no9/FcPKVvUlE/Z0kA/0kgp7oTgb60dSNl9x6EkII9LKoZrcXhbdeXjrthMIyscpkyWBQIhCSCQZlAiGZQEDaMX7unXI8EkJQLpcplUoUCgWKxWL1IUkSoVBozUejdJB9EjslDjsGIUiO3yOQzZEe6ENPxJ/4lt0cg6bn+jnmWfzXUw9Mbn9u0D/ob2hhvVuJ+BUOt3sl/RZxXC/LPZ72xPZ4xuCzuTLnSxqS/1X2hO5h3xtj/D/8R3xdBzhw9GUG22PsifvxPcLL/ay0d/k4ciLIzStFTFPl5TPhXX3LfzuYnrS49uMSre0qL59ZEta3F/6Gj6b+b2JaD+f6f4eQz5vgKkkyUa2LqNZFX/w1oCKk7DRpfbwqtufKI9zLXaz+npCvlUTFTpIMDJAM9hNUWzalKogkSQRDEsGQTGfP0nHI0N1l2e1cxmFmyqr6uJfeD1rAe/+S6Jaq4jsYktECUvPijsqFjK4vE8uPeriuu+r9mub5+A3DWHP/fr//kcI7GAwSCoUIh8M7Sog3WQeSRKZ/D62jYyTu3mfe58MKb38TuUanmbneII1+ZfYo/7Xl6JTteWzXJBHoR5aWxFch7/DuX+eJxBqnUczjaPQY1JuC4WW572R0xmayFMY+Jpy9iyX5GAvtZzrQQ088yEBSq/i5PU93MqBsWjm12SmVi+fnSLQovPpGuC511p9H5mdtLv6oQDSmcObNCD6fhBAuN2a+w2dz36czcpSzvb+JT/H81087Fgw7T1q/S6aa5b5L3pwCvNOBX4lUM9vJYD+JwABRfweSVL/4CiGwTEG5JNDLLuWSW7P0muPoJRdnhQBHgkBAIhD0xHYguFKMez+rtwCv1/FICIFhGGuK5MXM82IW2hPNAklxkVQHSXHQggrBsI9ASMUfVPAHFHwaKD5QfAJZdRGyjSMMZElGlYJIwo+wVYSt4FgytiFh6gKz5KKXHMoFm1LexDDMNT+zz+d7pBBf+fBtoNTb43jezwv1QrYsUiO3kVzB3IFBHO3RybfdHIOmLaTONOKXxxUuup2hZM1RsuZZyM0xNj6FGs6ixTKU7AVMp1DdXlOidEWP0xs9SWvgMBffMRuuUczjaMQYbDcPp2d4529/xNz0FHIoTr7jCKN2nLnSkpc7rik1gjvA3qRGb0zDt4GLqVQqxY1rk1y5WCIYlDn9xTDhyPY1vNkN5DIO772TRwvIfOEnImgBGcc1uTTxf3I/d4l9yTc50vIN8rki6XSaTCZDNBpFkiTC4TCRSIRwOIzf73+qiyjL0cka90iXK4JbHydnPMAVnppVZY1EoL8my13/iZMrEUJgWQK9JCiXPbG9THxXxLhjr35vNQMelAmGlttPgiGJQEBGfoaEwtMej4QQmKZJoZAnV0yTKyxQLGcp6XlKRhbdKGDYRUy7jJAsJNVFUjzBLKsuik944tgnkBUXFBshWQhpjT/+EahyAFXWUOUgqqwhhIvllrCcEpZbXsf7g6hSEAUNWfjB9SFsFddScEwZSxeYZYFRdjHKLsJWEJaCWxHuIK0pxIPBYDULXpsZ9/uffDe1eV6oH6qukxq5jaP6mDswiFDXPtbv5hg0xXWd2Y4vj+XoVeFcrCwXH0VrnrK1gGD57T6FEG45QTSYoj3ZRsjXWr2NPFm4xlT+OpZbQhI+5Pwhhrpe4WDvqbr6MDeL3TyAnwUhBLdv3+bChQvkcjn27dvHiVfPkBZB7qT1yuRJg3vZJS+3IkFvfCnDvTcZYCChkXxCa/fFGCzM2fz43SKSBKffCJNobd4W3gjFgsN7PywgSfDal0LYToGZhQd8XvoP6PIU8sxhcmMpisXSE/fl8/mWie3F5cr1x1WbcVybnDFRFduZSrbbdj3rwMqJk16Wuw9V3r6a+EIIbIuq0F4U3csEednFtla/V1srA774POS9pigSjmtVRGgZyy1jOSWCER8LmRksR8ewCpSNAmUzj2EVMe0SlqNjuzoOJi4myHZFLK+2aDwKBQ1V1vApQXxKCN+iOFaCqHKg8jywtK54otknr35dlbXH3olwhYtd+dtMp4TlljCdove8IsC9nxdXbFMrzh8vLyThR3J94PiWZcltA0+AWwqurXii3FaRhJ+AL0LAHyOkxQiHIstEeTgc5tChQ2Sz2XX/T5s8Hf58gdaxccxwiPl9AyCv/g7t5nNzU1zXCcvRuZ+7SCQSpVDIP/kNG0AAllOkWCOeS9YcplNctp2EQsiXrAjmVFU4hyvLkK8VVQ5w7VKJB/csznwxvMp/7Qqbj2/d4PbMZaTWG1ikkZBIhYboiZ6kJ3aSiL+9Ln/ns7KbB/BmYNs2V69e5fLlyziOw/Hjx3nllVeq3krHFUzmzWq1kkXhPV+b5Q4oldKAntjem9Toqcly18agkHO4dL6IobucPBumo7txunk2KkIICoUCmUyG2Zk0n92cQTeyyL4ChUIOOVAmcXwYRTMpjx4i4hwgmUySSCSqy3g8TktLC/fu3Vs2QW1xvXa5ltd2MUsYiUTWFOCRSIRAIFDNggvhViZOjlez3GtOnAx6tpLFTHcjXLB7mVkd2y1TMkoUy0XK5SIlvYRuldFNTwibThnbLeNQRiglhFwGWQdFB8UAeaU3Za3fBcJRELaMcBRwFGT8KJLmCV0liF8NEfCHCfgjnlgMxgj4IxXxG1whhv11teVsNov/a0+MewJ8uTBfLtSX1osVof5kcS4cBdeSq5lw11JxCzGS6kH29Rxn78BeotHt/97tNoILaZL3HlBKJsj09a4q0bebz81NcV0nStY83xv+7S35XT45SMiXqhHLKcL+pfWAmljmmX4UtiV496081hr1rxfmbN5/p0B7l8qpL4TIGPeYyH/ERO4jssZ9AOLaHnqiL9MTO0kyMNAw7Y938wDeTIrFIu+//z6fffYZwWCQM2fO8OKLLyKvkXEAyBkO42nd83NXqpbcy5hYrneoUGXojXlZ7mN9rZxMKSQqGW697PLjd4vkMg5HTwbpH2w2HwJvktiihWPl0raXLmYkSSGRSJBKtRBoLTEf/itkSea17t+kO3H4kftfz1hYnPC2UnQvri8+L5dX2wFkWV4lvGufh8NhZM2kYE9UM9xp/S4la766j5CvtUZsP/3EybWyxZa7Yt0pr9jGe27aJWy3jC0MnijYBOCouLYn3DyBXJtBraw7CsL2ITkBcAJIbhCZKAE1SiSUIJFI0NYWo60jSjT69DadrcKwXT6ZKXH9YQnbFfTE/HRH/fTE/LSGVORt+sxCuNiu4Ynwmoz4ogBfXDftIrqVR7cK6HYWXcwC4Og+jPk4mtnLnuTL7BsYoqur65HHvSZPR3Rqmuj0DLnOdgqdHcte283n5qa4rhOucNDtDMlkC+l0/er7qnIAvxLetP2tVf/6SY1iCuYME7mPmMhfYa50C4EgqLbQE3uZnujLtIVe2FK/5Up28wCuB9PT05w/f56pqSna2to4d+4cPT0963qv4womFrPcNdaS+bKNKsPZPTG+cjDBoVQQx4bL7xeZfWgzdFhj6HCgIUXFZmPbNtlsdplwXlyvFaySJBGLxaqZ51gswdRdDaMc4ewX22jv8nM38z4/nvwDwr4U5/r/ARF/x2N+8+aOBcdxVmW/VwrwYrGIZa32VWiatkyAB6MKSqiAq2Uw5VmK7hRFe4ZFgaspURKBfuKBXoRwlsRxVRgvCWdXrMNL7CrgqgjHsxQ4loRjycvF8QqxLAkfPtmzWWhqBM0fIqAFCAQCaJpWXa61rqoqtu1NwFSkCPfGF8gsOGQWlup7SzLE4gqJFq+ud6JFJRqXt63CiRCC+zmTq5NFrkwV+XSmhOkIfLKEIoNuL0kCTZHorhHbtY+Qr4HmVrgWkqsjCQstmeDmvfPcS3/EXPlTXMlEuBJWNoKTaSUVeJF93S8xMDBAKNSserFhhCBx7wGhdIZ0Xy/llqUysLv53NwU13VmJ355autf739Bq2kUEyWefPyB0rDzTBauMZH7iIeFGzjCxCeH6Iq+RE/0JF2RY9XKBVvFTozBdiOEYGRkhAsXLlAoFNi/fz+vv/46sVhsQ/srKiH+n0t3eGcsS9Fy2ZvU+OpQktf7oty6ZnD/jsmevX6OnQruinJpQgjy+fyaGeh8Pk/t4TQUClXtG4tCetHGsehzdl3BhxeKzEzZnDwboqvXx6dzf8bNmf9MW+ggX9jz22hq5Imfa6vHwuJkvLXsJ7VCvFQqsfIUI6su4VaXUIuJGi1BIIejZkB4QhdH9SbF2TKOJeOYix7cJWG8MpOM8KGpYTR/8LFieOX6okDeDGpjIIRX9SSz4NX29gS3XfV5ywrEExXB3aKSaFGIROW6XYQWDIfrDz0xfXWqWLV+9cb8nOgKc6IrzJGOEH5FYqFsM5EzvUfeZLKyPlO0cGtCmQgoVaG9JL41OiI+1KcZ68JFcg0kV0d2dU8ku2VkZ3G95udOuWabmp/XXHgJJYgR2IcVGkQP7GXaSvMge4UH2SuUxQwAju7HmIsTcvrpT51k38AQbW1tz0USYFNxXVrHxvEXS8wPDmBGvGPVbj43N8V1ndmJXx4hRNV/3dGlMj1pb6hRjO0aTBc+YSL/EZP5qxhOHllSaQ+/6NlHoi8T9NW/mclOjEGjYFkWV65c4aOPPkIIwcsvv8zJkyfXNRu/lsUYlC2XH41n+cFwhrsZg4hf5st74xyTwkyN2rR1qpw6G0b17YyTV7lcXpZ5rs1EOzW14Hw+3zL/c62IXvS2PwohBFcvlZi4a3H0ZJC+QYXLk9/iTuY8/fGzvNL936HI6/OtN+pYcF2Xcrn8RCuKYRjIsrwuMbzW66qqbrswelIMhBAUCy7ZhSWxnU071dKCqoontJOe6E60KATDGxPcjisYmde5OlXg6lSRkXkdV0DYJ3OsM8zL3WGOd4Zpj6x/XoTluEwVrKrYnsiZTOZNZvIlXFsnqppEFJOYatITFvREHDqDDqmATdJnE1VNAtJqES25JtKTrDqSD1cOICoPVwkurcsBhBxEKBpCUokyi7twA8XOeP8LNYEZ3I8ZGiSjtjJRHuHu/GXmjc+96iquhJmOIvIpOkPH2Nd7jL6+vieO3yYeku2QGrmNYtvMHhjECWgNezzaDJrius7s1C/Pov+6kHfpH/Rz7NSz3RZzhct8acTzaec/omB6mYGW4CA90ZfpjZ0k6u+uy4lvp8agkcjn87z//vvcunWLcDjM2bNnOXTo0LrjtTIGQgg+nS3zF7fSXLyfxxHw08kEffkAsaTM6TciBIKN4Xm0LKsqmGuFdCaTQdf16nayLBOPx6uiuVZIh0KhDX23hRB8crXMnRGTQ0cD9B90eP/+7zFd/IQX277GkbZffqr97vSx4DgOsly/zO1WsJEYCFeQz7lk03bVTpLLOCzOO/X5parQTrSoxJMKwdDa42euZHF10stMX3tYpGi6SMD+1gAnusK83BVmKBVEWZlVdi1kt4TklCqid+NZ47VwhETR8YMfEWkAACAASURBVJG3/ZRcPxYBhKwhqyF8/iABf4hwMIziC9WI5UUR7S2R1n93IZVKMTc7i2Iv4CuN4i+N4i/fRq6UFrT8XVih/ZQDA0wKi/vZ6zzIXsXAi51T9mPOJ4gwyEDbSfYNeJOId/J3s94ohklqZBQhK8wNDdLS2bmjj0ePoymu68xOPpkV8g4Tdy32v6BtaqMYIQQ5Y4KJ/BUm8h+xUB4DIOLvpDf6Mt2xk7QG969rEuZ62MkxaDSmpqY4f/4809PTdHR0cO7cObq6up74vsfFYL5k8dZolr8czRDRFb6sJFB8cPpchI7U1lQSMQyj6oPOZrPL1ovF5dV3wuHwqgx0MpkkGo0+tlzdRhj+VOfWDZ29QxoDLxZ49/6/Im885JXu/5a9yXNPvb/mWNh+NisGriPIZT2hnV1wyKRt8lmXxTO1FvAEdyShkJEsPi+VuTJTZCKrE1FN+sIOpzokjrQK9idcQpKO7JYr4rmE7JSWr4s1ahLWsJQ1DiJk7ZFZY1de8XMliI3GbFliIm9VM92LWe/a2vsAqZBKd8xPzwp/dyrkW31B8BjWjINwUY3JitAexVceR8JBoGAF+zGD+1nwtXDPmObu/GXS1ghCshGOhJmJIhU76I4cZ3DPMXp7e5sdKNfAVyyRGh3DCgbg9CvMpdPb/ZHqQlNc15nmyezJlKwFJvNXmMhdYab0Ka5w0JQY3dET9MZO0h4+jCpvvMV6MwabixCCzz//nPfff59iscjBgwc5e/bsY0tZrScGtiu4eD/Pjz7NcSAbREZivtPiJ4/FGWx59nrIuq5XRfOicF5crqx8EQ6Hq1nolcuntcRslPFRgxsflent99F37CEX7v9vOK7FF/b8Fh2RR1cEeRzNsbD9bFoMhEASpieAnRKSW0ZYRcx8gVwuj1kqoLplQrJOQC2jqTqaWkZT9JUV0ZZ2iYSQQ7iK91hcF0oIVw4uW18popHqM3HRsN2q2J6s8XhP5ExK1lLJSJ8s0RX1VT3dtR7vqLb6s60rDq6JXx/HV7rtiW3D0xGuHMAMDqIHB3gg4E5umMn8dUzJK15glzSshSQJ5QB7O06xb+BAs9RfDYFMluT4PUR7Gw+7OlaV6NsNNMV1nWmezJ4O0ynxsHCdB7mPmCpcx3Z1VFmjM3yUnthJuiLH1zVxq5ZmDOqDaZp89NFHXLlyBUmSOHnyJC+//PKabYqfNga3Jkp8clFHsiT+xs0QaJX4ylCSL/RF8Slr39EQQlAulx+Zga61cABEIpE1xXM8Ht/0VstPy+Q9k48+KNHRrdJ17HMuTfw+ATXGG33/gHhgfZVb1qI5FraftTOmzhoZ4/Ky7PGiiK5dl3h0He2i46PoaDhyCEUOgQhTMoLkSxqFUgDDCWLYASQtjBYJE0pEiSZCxFp8qGrjix0hBFndWSa2F7PeD/MmTo1iiWnKqkomr+zvRtZzT2XjkJwC/tIY/vIo/tJIjV87jhk8wLy/lXEzx530dTL2bZAchCNjpqOoejc9sRPs7zvWLPUHhGdmiU8+pNCeItf95LufO42muK4zzZPZxnFci5nSZ0zkrjCZv0LZTiMh0xY+6DWuib5M2N/2xP00Y1BfcrkcFy5cYHR0lEg0xMtnDtHa5SdvTpEzpsgZkziU2Rv/EvtbfmrddyEM3eXi+QK5tMNNX4mL5Txxv8yX+wO80goYhVWZaNM0q++XJIloNLqmeI7H4w17y3bmocWP3y2SbFVoPfoe12f+mJbgXt7o+/sE1Pgz7bs5FuqIsJf5jT2LRa3vuIzk6gRVF7OUXhLSbgm50slyzd2i1GSMK1llOci84eduQWE4IzOckcnYGhYBelsSDHWkeKkr9siJiIaxesKkXq6UBJQgGpOr1UkSLQqxuPJMLd+3GtsVTC9OqswbS8I7Z5LWly5IWoIqB1MBhlJBDqaC7G8JoKnrFL1CPMav3Uk5uJf7qIwW7jFVvIkled0g7WIAO9NCi+8Q+zpOsXdg8Pks9ScEHfMLKA8myfR2U0q1bvcn2lSa4rrONE9mm4MQLgv6eKWe9kfkjAkAEoG+qtBOBPrXzEI0Y7D5GHaenDlF3pgkZ3jLhdJ9ys78sjt8IV8rUX8Xqiozkf2YoNrCkfZfZiDxOvIjbiMvdiPMZrMsLGQY/nSWTDaLK+cpGzkktyZbJ0nEY7E1M9DRaLRhBfSjSM/ZfPC3BUJRiBz+c25n36IneorXen8dVX72qgTNsfAIhABhLYlgZ0kQy65eEcnlx5SAKz9xwp5ARsgBJF8YG22VYH6UHUNIfpCkjU9EXCd62a2K7cVJk5bpnfZlGaLxpeokLW0q4cjOnFhaNB0e5EymDIUr43PcmivzsOD5yWUJ9iY1hlqDVcHdHfWt7+98nF870Mesv50xq8hYdpicOw6S62W1F2Jo1h56Ey9zoP/Yc1XqL9XSgnv5Clouz8K+AYzY7rHONMV1nWmezOpD3piuVh6ZK40AgpCvtVLi7yRt4YPIlZnjzRhsDFe4lKzZavY5b0yRM73lUgtrkCUfUX8nMa2LiL+L/JzL59cfUEpLHBo6wpkzZxgYGODTu+9yffo/sVAeI+rv5kD059HM/lX2jWw2u6wboSzLaFoUnCjJZJyOgQS3iiofzAjmbT898QBfGUry5r5YYzWseEryWYf33imgagbqC/+B6dI1hlp/jpc6/ovm5N4nIQSSMGoyxV6WWHbKK6pWLBfO3jYVkfwYiwV4GWShBKtVKlw5iFBq1uUAQgmsmLAXrP4MyQeStO4YLHZEvFqpOX0/692VaQmqHK+I6Ze6wsTW8BNvBkIIykWXTLX+tkN2wWZxaAZDEm2dPto6VVLtKn5tZ9kcauOQ1W2G53RuzZW5NV9mZE6nbHt+7qhfZii1JLYPtAaI+NfxP3+MX7sUGOCe7Ge4MM1UeRhb9o6ndiGAm2sjpb3AYNerDPTv3bI5HttBKpVifnqa1OgYimEyd2AfdnBr+2DUi6a4rjO79mTWQOh2lsn8NSbyV5gu3MARFn4lTFfkOD2xkwz1nqaYNatiu8lyLEevWDiWC+i8+XBZtztNiRLTuolqXcT8laXWTciXWiX+DMPg8uXLXL16FUVRePXVVykWi6QzafLSCFLHLdSwjpkJU7i9Bze/tvc5kUgQiUSQJInRzww+v6GT6vBqYQtFcOFunh8MpxmZ1wmoMm/ujfGVoSR9iZ1Ve7ZUdHnvh3kcOQMH/4CceY8TXf8NB1p+8pn2W7ZcxtM6ows6Y2kDRfUjuSaaKhNQZAI+mYAqEVBlNEUm6JPRKs8XH5oqE1QlVFnauoyaayE7eWQ7j+Lkke1c9fmicF4pntdXA7lWBHsVLKol3arCObisvNviNqyzlviTeNQ5QQjB/azJ1anlHRFVWeJwe7DaxKU/oW1bZlMIQSHvMj9jM/vQZm7Gqja8SbQotHWqtHX4SLY2vo3kcedmxxU8yJme2J4rMzxX5n7WrH7DemN+DlbE9sFUgD1x7Yl3DB7l17aVGLP+LkZtg9uFe+TFA5BcXFvGSscJuQPsSZxkaO8xEonErspqL8ZANi3aRkYBmD2wH9e/vXNeNoOmuK4zTXG9tdiuzsPCzUrjmmuYTqH6mk8OoalRNCWKpkTwV9ejXjtjJVrzswh+JYy0SRnD7UYIQdlOe+LZmFxm6SjbC9XtJCTC/g5iWhcxfxdRrZuY1kXU34WmPv0tu0wmw4ULFxgbG0NV1SXPcyKGG7/LvPwBpsjRFXmJYx3fIBHY89j93b9jcv3DEtGYzKvnItVaviPzZX4wnObd8TyWKzjSEeKrQwlO90Y3fJt8qzB0l/feKVB2H2Dv/z+wRZEzvb9Bd/T4U+2nZDncWTA8Ib3gCeqJ3JIgSAQUIpqPomlj2C667S7rpPckZIllYlurEeCBRzwPVrZfFPAhxSEqFwlLRUJSgaAooIkCiptHsfPITq4qoFcikHGVSMVKEViVKX5k9ngDNZDrSe05Yb0dEdftA95iXFeQWXCYfWgx+9CzkwgBigqpdk9ot3WqhOvYVXKjPO25uWQ5jMzrVbF9a04nZ3h3OwKqxP7WIAdbA1XRnQg+5vv2GL92ydfGuBxmuLTApHkXR/ZKgVr5IFKhnfbgEfb3vMqe3r4dZ3tbSW0M1HKZ1MgYjt/P3IF9iE0ua7rVNMV1nWmK6+3DFQ5zpWEcNctC1rMyGE4Bw85jOHlMp4Bh53AeUb9VQsKvRPDXiO9FIe79bEmIa2oUvxLFJwe39STiuBYFc3qZeM4Zk+TNKWx3qVqGKge8LLTfyz57ArqbiL993d3+noZIJEI+n1/1v7Fdg5H5t/hs7ntYbpn++FmOtv/KYyeqzjy0uPxeEZ9f4rVzEaLxpYNwTrd563aWvxxJM1O0aQ2q/MyBBD+9P0HycSe7bcKyBB/8TYG0cxOr/w/xKQHO9f0OyeDAY99XNB3G0jq3F3RuzxvcTutM1gjplqDKYEuA/S0B9rVoDLYEaA35VrXetlyBbgt0y0V3XAzbpWy5GLZArwhw3fael223KspXPheOQVgqEpEKROQiCbVEylem1V8m5SuR8pdp9ZWIqqvHmuXKzFtBFuwQGTtEzgmTd8MURZgSYcpEMaUIjhJCUxVkSUKWPLEvSRIy3iQ8qfbnSJXXl9ZlSUKqvl67vYQES9sv/pya7Wu2qe6nso/FbZbvZ2mb5b9XwtXC/M1nE2t0RAxxoivCia6n64jYSFimy1wlqz07bVMqeNaKYEiqCu1UR2NYSJ713CyE4GHBWia276T1apWS9rCPgylPbA+lguxLao+sdPQov7YrZGb8KUYcl7HSQ3JMgyRwbQUrHSfKPvpbX+HAwNEdWepvZQy0XJ6WsXGMaISFfQM7ukRfU1zXmaa43n6eFAPbNSqCu4Dp5Kvie1GIm07luV2oiPI8rljbnymhLBPi/mWiPIq/IsSXsuNRVPnpb/OuNaEwZ05RNGcQNbfHFycUxrRKFroipgPq1t5efFIMDLvA53PfY2ThLQSCweSXebHtFwmosTW3z6ZtLp0v4jpw6vUwqfblwtlxBZcnC/xgOMO1qSKqDGf3xPjKUIJDbdt7AVT9jI7g0vki0/aPMLu/TVzr4Vz/7xDyLZ81XzAcbi8K6cpjKr8kUlMhT0jXPh51IfFUxyMhkFxjKZtcWVZtGna+YtXIIQtz9dtRsZQolhzBkCKUiVISYQoiTM4Nk3VCZOwwWdvvCXzbrS6NqrAXNQLfe+4K4c0/XP+/uuHYzImIjUyx4FSF9tz0koUknqxYSDp9tGyThaQe52bDdhlb0Lk174nt4blytQmOKksMtmied7s1yFAqQHv4EZMlH+HX1iU/d5Qow3qeCWsKR65UJ8mHUEpddISOcHDPabq6enZEqb+1YhCaWyDxYIJiawvZ3u4dK7Cb4rrONMX19rPZMRBCYLt6RXAvCXGzuu4J8SVR7mXJxSPkgCz5qtlvTVkpwKP4lBC6nV3XhMJFAR3Vuon6O/Epz958ZTNYbwxK1gI3Z/5fxjPnUWSNQ61fYaj159b8O0pFl0s/KlAqupw4HaK7b+2JPxM5k/9vOM07Y1mKlsvepMZXhpJ8cSC2bbfbXVdw+f0C9+3vYre9RWfkKGd7f5Oy7a9aOsYqQnqxkgFAe9gT0vuqWekAicDTt3z2/MoVsVz1M9f4mp0cip1fsyufkHw4ahRXieGqUVwliqvGcJUojrr4s1jFilG/E6MQ3ogSAlwhcCuCe1F8u8Lbxq3ZRgCuC4LK9gJcVmxfs5/FbVbuZ3EbIZbvZ3Ef1f0t24/3+ztaEvSHnLpNRGxUFi0kc9M2Mw8tMvNLFpLWNrU6OTKyRRaSrTo3z5espcmSc2VGF3TMSno7EVCqme2DqQD7W4IEfauPSWv5tYUQzCgBRhyFMWOBLPNeVttSsDNJ4vIB9ra9yv6BwwQbdJLgo2IQnZwiOjNHtruTYvuTy+02Ik1xXWea4nr7aYQYCOFiOqVVWXDDyVdEeaFGrHvC3HSWt91+mgmFjcbTxiBnTPDx9J8ykb+MpsQ43PY19iXfRJGXC0nTcPnxhSLpOYcXjwcYPPjoiwnddvnRnRx/MZzmbsYg7Jf58r44XxlK0hXduhn5QgiufphjzPpDnMQVEGe4s/BVbi9YzBSXJpB2RHzVTPT+pMZgQibmd72ufK6B5JrIwltKrln5eeW1R6yr6GBm1iwb50r+qkh2VU8wO4vri0JajSEkbcdmkxqBRjgeNQKWKZiftat+7WLFQhII1lQh6VDR6mQh2a442K7gbsZYNllyMr9UCrA/4ZUCXLSUdMf8yLXj7RF+bUO4jMkBRkyDCXsOW/Zqp1u5ED69h67ocQ7ueZX29o6GuHMHj4mBECTv3ieYybIw0IeeeLb6/ttBU1zXmeaBdPvZqTFwhYPpFDCdApoS29CEwkZhozGYK43y8fSfMFv6nLCvnaMdf5e+2OllE00dW3DlUomHDyz2DmkcPh547MlDCMGns94EyA/u5XEEvNwV5qsHk5zoCj/77XnhrBC2BkW9zHSuyFyhiLWQZS78Qwr+WQLFgyTMHloDgtaAS9LvEFUdQoqNQq1Atp5YDaMWV/Ij5MpD0ipLP/5wCyV7hYiuCGexCXW0mzyZnXo8qjelgsPsdKUKybSNZXnf9yULiUqyVUXZJAtJI8UhZzgV37Yntofn9Wpr97BfrtTdDlTsJMHl7dzX8GsjbGaFywgKt808WbIggWuqOLkWkuoQgx1n2Nd3aFtL/T02Bq5LavQOvnKZuf37sMI7q9FOU1zXC2Hj0x8Qj8fJZrN1+zWurOGqCYTSmLd9GoFGOog+rzxLDLyJQx9zffpPyBr3SQT6Odbxq3SGj1ZFtHAFn1wrc2fEpGuPjxOnQ+s6CS+Ubf56JMNfjmbIlC32xgRfHdR4o1clqiw2C6l00XP0miyw6dVVXmv9MfWS067F96w5Cjj8lNrCoBJFyH6QlwSwWLa+4me1YnnFa25lHUmFR9zJaI6F7acZgycjXEEmvejXtkjPVSwkCrS2VywkHSqR2MYtJI0cB1cIJiqlABctJfeyRrW6T3fUX81sH0wF6U/UlAJcw6+tC5e7wmbYFjxwMtiyhRBg58IErD564ic42PcqLS1b2yXxSTGQbZvU8G0k12HuwH4cbefU/G6K6zohWxlSd/+XLft9iyLbqTxcNY6rxr11XxxHjTdMKaqtppEPos8LmxEDIVzuZj/g5syfUrTmaA+/yLGOb9Aa3Fd5XTB2y+DT62Xa221OnZbQZB3ZLSE5pUpN5MWW055oXlyXnJJXP/kx2WF3mcjVEJIfQ/jIWwppU2GuLDNdklgwFcqOStn1EfQHSIZDpKJhZHOOMb6NLMt8qf9/JBV5ER7RpbJeNMfC9tOMwdNjWaJSW9tidtqmmF9hIemoWEgC67eQ7LQ4lCyH0XndE9vzXpY7W2nlrikS+1uXKpMMtXrVgWC1X1u20swIizHXZdTWyVCoZrVFLkWL/wUOdJ2hv/dA3Uv9rScGim7QNnIbR1W9En07pPxgU1zXC9fCp98lHo+Rzebq9EsEsqsjWxkU23vIVhrFziK7pVVbe/7JRcFdK8QTOGocoYR3pZdypx1EdyMbikG1615t9riMcHIM569xPX8NXRjs9bVzWushCRUhXUbCfeRuXVmrtJcOrmg5HcRVQszoPi5NOlyYcJg3/bRFY5wb7ORQe5g7GYPb85WqHWm9enKTJa82cW3Fjr3JQHVy0vWx83xe/Baq28pPDf0DYsHOjf4rn4nmWNh+mjF4dkrF2iokdrVNe9VC0qGSTD3eQrLT4yCEYKZocWtuqfb2WFqn0liSVEitZraHUt4xyS9Lq/zahlPgnmsw6jjcc4vYkl3JakcJOf3sSZ7kYN8rxGKb73tebwz8hSKtt+9ghkLMDw7ADqiE0hTXdWbbBrBreiLbzlaWGW9ZI8RXVgIQkoqjxqsZcFdN4PjiuEqsUgUghpBDO06A7/SD6G4glYywMHPfyw47K7LHFUFcK6AXs82PE8k6KlfdIteseRxcDmp7OB4+SsjfQr6kMTqqYLlB9h9tIZSI4Mohzz61zmxx0XR4ZyzLD4YzTOaXSs3JEvTFtWrFjsGWAANJjcAalUeEEFwe/y5jpe/iN/bzM4f/PiFt+7zzzbGw/TRjsLlULSTTXmZ7pYUk1aHS3ulbZSHZjXEwHZc76eWTJRcnSasy7E0GKqUAvSx3R1jBZ05VstqjKKU7zIoyd1yD27ZFWvJK/TmGD6nYTpt2mKHus/R2792UUn9PE4PgQprkvQeUkgkyfb0Nr0Oa4rrONOwAFgLJLS0T3HJFdCtWBtnOIjv5VbfJBYpXRaAitt1qNjyKq8SXKgo00OSoho3BTke4nhi2F7vr5ZdqH9eUdJPtwpp1kKu7kXxe9lgOVbrvBb1l7XpFGHsZZi/rvGhz0u0sn8z+GWPpd5BQGGr9GQ6lvoqeD3DpfAHbEpx6PUxbx8Yac7hC8PHDEg8LJnuTAQYS2rpK+LnC5v0732SifIFA8RV++tj/QDCwveOiORa2n2YM6ottLVUhmXm43EKS6ljya/f0tj8XcVgo28smS47M6xiVUoBxTamWARxKBRlKysScB9XJkZZ+n7uuzh3X5J6jY0nehYuTixEW++hvOcXB/lcIhTY22fBpx0Lk4Qyxh9PkO9rJd3Vs6HduFU1xXWd29IFU2NVmEYqTq6znKnVxl56vJZxcWatUIagI8cr6UnmvOK4a2RIf+I6OwXYgbE8Q14hlL+aFZc1EZKewZmbZlbSa+sfeMhDroGCwWkDLQdikjpAFc4YbM3/KvewH+JUwL6R+gd7Al7l8waSQdzn+Sojega2ZEGM6Rc7f+TfMG58STP8cP3niG4TC21/XuDkWtp9mDLaWUtFlbtqq2kgWLSQ+v4xfAy0gEQjIaAEJbcUyEJTxaxLyLmrw49SUAhye9xrdPMh553AJ767cUGWy5OEWlwHffbTybdTiMLPWjCe2HYN5vPe4hg95sYFNz+t0tveue5LpU48FIUjcnyC0kCbd10u5Jfm0f/6W0RTXdeZ5OJBKruFluu28lwmvdnDL1Yjy/JpVFFwljFMjvGstKItC3POCb/wW1PMQg/XgxWmxUUihRiSvyDyv4dcXSAglXLkwiqxoILK0dJQoyKsF7FbGIF0e5+OZb/OwcIOg2sILLb/EzM0TLMwIDh0LsP/Q03fEfBqK5hw/Gv9fyZsPCU3/V7z56k8SiW6/sIbmWGgEmjHYPoQryGYc5mdshNDIpkvououhCwzdrXaQXIlfk5aL7rXEeFDC75capob001AwHIbnlyqT3JovUzS9xEnIJ3OgNcDBVIATLQYvBh8Qs8awSre4b2e46+rcdQwsyQUBbj5OhAPsTb3Cgb6TaNqj79ZtaCy4Lq1j4/iLJeb3DWBGI8/yp9eNpriuM80DaYWKhUCx81UhLjvZyvOaTLhTXMOKIlfr8dYK72XPlYoVZY0D266OwVrWjFp7Ru1yzRbVyipxvJZodpXIM1W22I4YTBc/5ePpP2GhPEbU300484tkx15k736NIyeCSHXIRs2Xx3j37r/GtEyCE7/GudMniScbZ3b7rh4LO4RmDBqDteLg2ALDcDHKokZ0e8J7calXlu4aFTcliTUz4FpAJlAjwrWAjKrSsELcFYLJvLmss+TdzFIpwK6oj0OtGq+lchyLTNDhjjFfHuGuW+KuqzO/OJ/L9CGXeugMH+OFvnOkWpZbOTY6FiTbITV6G8W0mBsaxA40RifiWprius40D6RPiXCWWQ+WMuEVIb4owl191Vu9DnPR5XYUNUY4lqJQKNRs+bgD2mOajzz2QLje1x6z3WP2LzmlFb7mp7dmLC6dqlc+smUTVLdrHAgheJC/zI3pb3uZZLEP584v0JN8gZdfC6Gom/e3T+Q+4oMH/w6sKNr4r3PmzH5S7Y0jrKF5PGoEmjFoDJ619r5t44nu8nLRvVKMG7pgLfUkKywX3cuWlex4UELT5E09Tm0U3Xa5Pb+U2b41WyZdqZbkVyReaFV4sz3NiegELYwwbd1n3C1z3zWwEOBKyKU4Yekgg21n2Nd7jK6urg3HQDFMUiO3EbLE3IFBXN/m2As3i6a4rjPNA2mdcM0V3u/llpTF19Zq87xTeVZrxnay3ePAFQ530uf5ZPa7lO00cu4wKeNrnD0ztCntlYfn/4qrD/8Iv9WPevu/55XXuujsaayDPWx/HJo0Y9AobFUchBCYpqiK8FrRra94bhpryyzVx+MtKdvgDxdCMFeyq5ntW3NeiVK7kt7eG7H4ma55TsUeoMmf8dBd4K6rs1A5JyuWH83sIxV6iRf63iARe/oGNr5SidaRMexggPn9+xANVKKvKa7rTPNAuo0IgeSWaU2EWVhYWGuDR751VTORx379N+G1VZutsMYowWe2ZmwnjTIObNdgZP4tPp35HrYooxVf4QsHv05bYmN1p13hcu3hf2Rk4S3C1nHc4f+aE6/E2bO3carl1NIocXieacagMWjEOLiuJ7D18toZ8Eb3h1s1pQAXm91MFyxAsCeQ52c7Z3kpcQdJvs0kBe67BjYCSUj49ThhXmCw83UGuo+su9RfIJsjeecuejxGeqCvYUr0NcV1nWnEAfy80YzB9tNoMTDsAlfv/zl3C28B0B/9CU70fg1NXX8NasvRufjgf2eycI0W66co3/p5Dr8UYvBQ4/n/Fmm0ODyPNGPQGOz0ONTLHx5YIcKf1R+eKdvcqkyWHK5UKDFtm6HwAq+3TPBCYhjLN8l9oZOuZLX9tp+g2UNr5FVe6HuDSPjxDWzCM3PEJ6cotKXI9XRt6HNuNk1xXWd2+gDeDTRjsP00agxmFmZ5/9Z3MKIXUSSNF9q+ylDrz+JTHi+Qy1aad+/9azL6Xbrd/5L0p2fY/4LGC8eCW/TJN0ajxuF5ohmDxuB5iUOj+cMd21aptAAAEKlJREFUV3A/azA8r3M3L7g+kWYmX+JYZIZXEsPsid8m78vwoJLVloVE2IwTkQ8y0PFl9nQeWi30hSA2MUVkbp5Mbzel1NNbTDab9YrrxpqV06RJkyabQHtLGz97/Nd57/2fJB36M27ynxlNv82Lqb/DvuSbKPLqQ19Gv8+79/4VplNgv/wbTNwcom+fn0NHGzdj3aRJk+cTSZLw+cDnU4g84cbcevzhxYLDwtyz+cM7g3769mm0t7cxNzdHwXQYnd/LrbljXJorM51JczBwl+PJm0QjE0wHCkyJS0wtXOLarJ+o3UVr5DQH+n6CYCAMkkSupwvVNIk/mMTx+TDisTr8NzefLctcX7t2jW9961u4rsuXv/xlvva1ry173bIs/u2//beMjY0RjUb57d/+bdrb25+432bm+vmlGYPtp9FjYFmCy+8Vmc6NoO77PkVpmIi/naPtf5c9sdNIlTrrDws3eO/+v8EnBzmg/iajl9vo7PVx6kyoLqX9NptGj8PzQDMGjUEzDs/GZvjDA0EFn1+sEuP+gERJuDwoGYzly8znZ+iVr7Ev8TluYI6H6DiAIiRidoy4fID+rp+hq+UAraNjqIbJ/P59WKHtu5PYUJlr13X55je/yT/5J/+E1tZW/uE//IecOnWK3t7e6jbvvPMO4XCY3/u93+O9997jj/7oj/h7f+/vbcXHa9KkyS7F55M4fS7M9Q+HuP/Jb9C7f5i89md88ODf8VngL3ip4xsUrXk+mvwWMa2HF7T/iRsfaKQ6VF5+bWcI6yZNmjTZLGRZIhD0qpQ8iUf5wyX8ZDNlDN1lYc7F0K1V/vBOgnRJ/fgDA+R1MCSbsDpOKHQBX2SMjC/LOJcZn7lM5KGfVmsPPyf/IsmxO8wN7cf1N1blrJVsibgeHR2ls7OTjg6v0PjZs2f58MMPl4nry5cv8/Wvfx2A1157jT/8wz9ECNGQxdjd//QHLDx8gGM94rKtyZaw4PM1Y7DN7JQYHAX+//buPabJu+/j+LstoJylIBKZ84A4pwvxwAbz2VCc2bPskBmzPD7bbjM0ZiaCC24maoaOHTTmicbsgNFkosb5LMumbPtn/xhPczDHRNncbg+gIQyZCEUFEaHt7/5D11un7KZwjVL8vJLGtlwlv18/ftsv1/Xr1UGxj1FdNY2Ea3MYG/b//DP1Nw62/x8AwxoG88CvSVQ47cR01jPlx8+gvOMu3z3aPwVLDgOZMugflEPfGnTzcutijdDQUDpvycAAblsY1x2RdDgiue6I5Lr95r+3XuyJtDj+gbE5sNs6SI4tJyS2nGuR9dQOquZzs5P/db/MoF9LORETQ8qYKX082+7rk+ba5XIRH//vhejx8fGcOXOmy20cDgcRERG0tLQQE3P7+pq9e/eyd+9eANatW0dCQsLfPPo7tYSH47bZCO1nJze/19iUQcAFUwYPtR0hijYqY2bi7nyVWd+XUDf8AtdDPdxXO45S5/8Q4W3h0UtfMSjEAMExLwiuHAYqZdA/KIfAu1sGYRgiaAVvK3f5fjQfA3TYBnPdEUl7YyTXHQ/QZp/C4IgQOoed4bu4/UxyPMyopNSA9H/dFXQfaJw1axazZs3y3Q7I2qrn/6F1Xf2AMgi8YMvgfiCsrpOjZXZK43LJmB6JDfhuXyshNsh4YiihkSv+6rW/Xwq2HAYiZdA/KIfA620GoTcvUbfcl3rL9WvG4LDZApJzd9dc98nX3jidTpqamny3m5qacDqdXW7j8Xhoa2sjOrr756YVEemOpORQpmVH4XYbDu9tpexAK14vZM6IIiKy/3wTmIiI3EU/XC78Z33yTpKSkkJ9fT0NDQ243W5KS0tJT0+/bZupU6dy4MABAL7//nsmTpzYL9dbi0jwi4sP4b+eiCI01EZHhyEzK5LomOD8lkwREelf+mRZiMPhYMGCBaxZswav10t2djYjRozgs88+IyUlhfT0dGbOnMlHH33EkiVLiIqKIj8/vy+GJiL3qKhoB9P/O5rOTkN4hPZYi4iINfpszfWUKVOYMuX2T3bOnTvXdz0sLIzXX3+9r4YjIkJIqI2QUB0hExER62h3jYiIiIiIRdRci4iIiIhYRM21iIiIiIhF1FyLiIiIiFhEzbWIiIiIiEXUXIuIiIiIWETNtYiIiIiIRdRci4iIiIhYRM21iIiIiIhF1FyLiIiIiFhEzbWIiIiIiEXUXIuIiIiIWETNtYiIiIiIRdRci4iIiIhYRM21iIiIiIhFbMYYE+hBiIiIiIgMBNpz3UMrVqwI9BDuecog8JRB/6AcAk8Z9A/KIfCUgZprERERERHLqLkWEREREbGIo7CwsDDQgwhWY8aMCfQQ7nnKIPCUQf+gHAJPGfQPyiHw7vUM9IFGERERERGLaFmIiIiIiIhF1FyLiIiIiFgkJNAD6C8aGxspKiri0qVL2Gw2Zs2axdNPP01raysbN27k4sWLDB06lKVLlxIVFYUxhm3btnHs2DEGDRrE4sWLfWuMDhw4wJ49ewCYM2cOM2bMCODMgoe/GXz77bd89dVXGGMIDw9n4cKFjBo1CoDjx4+zbds2vF4vTzzxBLNnzw7s5IKIvzn8oaqqioKCAvLz88nMzARUCz3Vkwx++eUXtm/fjsfjITo6mrfffhtQLfSUvxm0tbXxwQcf0NTUhMfj4bnnniM7OxtQHfRGVzmUlZXx+eefU1dXx9q1a0lJSfE9pqSkhH379mG325k/fz6TJk0CVAs95W8GP/30E7t27cLtdhMSEsK8efN46KGHADh79ixFRUV0dHQwefJk5s+fj81mC+T0/h5GjDHGuFwuU11dbYwxpq2tzbz22mumtrbW7Ny505SUlBhjjCkpKTE7d+40xhhz9OhRs2bNGuP1es2pU6fMypUrjTHGtLS0mNzcXNPS0nLbdfnP/M3g5MmTvue2oqLCl4HH4zF5eXnm999/N52dnWbZsmWmtrY2ADMKTv7mYMyN57ywsNCsXbvWlJWVGWNUC73hbwatra0mPz/fXLx40RhjzKVLl4wxqoXe8DeD3bt3+65fvnzZ5OTkmM7OTtVBL3WVQ21tramrqzNvvfWWqaqq8m1fW1trli1bZjo6OsyFCxdMXl6e8Xg8qoVe8DeDs2fPmqamJmOMMTU1NebVV1/1/WzFihXm1KlTxuv1mjVr1piKioq+nUwf0bKQm+Li4nx7nsPDw0lOTsblclFeXs706dMBmD59OuXl5QD8+OOPZGVlYbPZGDduHFevXqW5uZnjx4+TlpZGVFQUUVFRpKWlcfz48YDNK5j4m8EDDzzg22uXmppKU1MTcGMPalJSEsOGDSMkJIRp06b5HiP/mb85AHzzzTdkZGQQExPju0+10HP+ZnD48GEyMjJISEgAIDY2FlAt9Ia/GdhsNtrb2zHG0N7eTlRUFHa7XXXQS13lcN999zF8+PA7ti8vL2fatGmEhoaSmJhIUlISVVVVqoVe8DeD0aNH43Q6ARgxYgQdHR10dnbS3NzMtWvXGDduHDabjaysrAGbgZrru2hoaODcuXOMHTuWy5cvExcXB8CQIUO4fPkyAC6Xy/dGBhAfH4/L5cLlchEfH++73+l04nK5+nYCA0B3MrjVvn37mDx5MsAdGfyRjfivu7Xwww8/8OSTT972WNWCNbqTQX19Pa2trRQWFrJ8+XIOHjwIqBas0p0MnnrqKerq6li0aBFvvPEG8+fPx263qw4sdGsOXenq+VYtWKM7GdzqyJEjjBkzhtDQ0HsqA625/pP29nY2bNhATk4OERERt/3MZrMNzLVB/Yy/GZw4cYL9+/fzzjvv9OUwB7zu5rB9+3Zefvll7Hb9rW617mbg8Xg4d+4cq1atoqOjg4KCAlJTUwMx5AGnuxlUVlYycuRIVq9ezYULF3j33XcZP358IIY8IP1VDtI3/M2gtraWXbt28eabb/bB6PoXNde3cLvdbNiwgccff5yMjAzgxuHV5uZm4uLiaG5u9h32djqdNDY2+h7b1NSE0+nE6XTy66+/+u53uVxMmDChbycSxPzJAKCmpoYtW7awcuVKoqOjgRvZ/LFEBP6djXSfPzlUV1fz/vvvA3DlyhWOHTuG3W5XLfSSPxnEx8cTHR3N4MGDGTx4MA8++CA1NTXEx8erFnrBnwz279/P7NmzsdlsJCUlkZiYyPnz51UHFrhbDl358+u/y+Xy/Z9XLfScPxnAjed3/fr15ObmkpSUBNxb783a1XSTMYbNmzeTnJzMs88+67s/PT3dd4j14MGDPPzww777Dx06hDGG06dPExERQVxcHJMmTaKyspLW1lZaW1uprKz0fVJZ/pq/GTQ2NrJ+/Xry8vJuW/eVkpJCfX09DQ0NuN1uSktLSU9P79vJBDF/cygqKvJdMjMzWbhwIY888ohqoRd68np08uRJPB4P169fp6qqiuTkZNVCL/ibQUJCAj///DMAly5d4vz58yQmJqoOeqmrHLqSnp5OaWkpnZ2dNDQ0UF9fz9ixY1ULveBvBlevXmXdunW89NJLtx29iYuLIzw8nNOnT2OM4dChQwM2A31D400nT55k9erV3H///b7DfC+++CKpqals3LiRxsbGO07Ft3XrViorKwkLC2Px4sW+09Ds27ePkpIS4MZpl/44HZP8NX8z2Lx5M0eOHPGtfXc4HKxbtw6AiooKduzYgdfrJTs7mzlz5gRsXsHG3xxuVVRUxNSpU32n4lMt9ExPMvj666/Zv38/drudmTNn8swzzwCqhZ7yNwOXy8WmTZtobm4G4PnnnycrKwtQHfRGVzm43W6Ki4u5cuUKkZGRjBo1yrf8YM+ePb5ayMnJ8X0eR7XQM/5msHv3br788kvfHmuAgoICYmNjqa6uZtOmTXR0dDBp0iQWLFgwIJfbqrkWEREREbGIloWIiIiIiFhEzbWIiIiIiEXUXIuIiIiIWETNtYiIiIiIRdRci4iIiIhYRM21iMgA0tjYyLx58/B6vYEeiojIPUmn4hMRCXK5ubksWrSItLS0QA9FROSepz3XIiIiIiIW0Z5rEZEg9uGHH3L48GFCQkKw2+288MIL7Nq1i08//RSHw0FhYSHjx4/nxIkT1NTUMHHiRHJzc9m2bRtHjx5l+PDhLF26lMTERADq6uooLi7m7NmzxMTEMHfuXKZNmxbgWYqIBA/tuRYRCWJLliwhISGB5cuXs3PnTh599NE7tvnuu+/Iy8tjy5YtXLhwgYKCAmbMmEFxcTHJycl88cUXALS3t/Pee+/x2GOP8fHHH5Ofn8/WrVv57bff+npaIiJBS821iMgAl52dTVJSEhEREUyePJlhw4aRlpaGw+EgMzOTc+fOAVBRUcHQoUPJzs7G4XAwevRoMjIyKCsrC/AMRESCR0igByAiIn+v2NhY3/WwsLA7bre3twNw8eJFzpw5Q05Oju/nHo+HrKysPhuriEiwU3MtIiIAxMfHM2HCBFatWhXooYiIBC0tCxERCXJDhgyhoaGh179n6tSp1NfXc+jQIdxuN263m6qqKq25FhHxg/Zci4gEudmzZ1NcXMwnn3zCnDlzevx7wsPDKSgoYMeOHezYsQNjDCNHjuSVV16xcLQiIgObTsUnIiIiImIRLQsREREREbGImmsREREREYuouRYRERERsYiaaxERERERi6i5FhERERGxiJprERERERGLqLkWEREREbGImmsREREREYv8C7FSG4812XBXAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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iXF8nERER6fWUNLfCcLmallwrtWNxOpuWi0tMoDY2Bo81KNDh9UiNYaFUhIVS5Vt1w07sF4dptNmojY+lPjpKpRsiIiLSaylpPkNQXT3mff8m6WRR03JxYaFU9U/sNcvF9QSeoCBqkhKpSYhvqv0uKSPqWCGRhSepi42mNi6u561TLSIiItIBJc1niDxeiKm+oakuNy4GV0jffrCvW5lM1MdEN5VunFp1I6ykjLCSU6Ub8XEqcREREZFeQ0nzGSoGpBKdmEBlZWWgQ+k7DONU6cZAqhobCSu1E1pWRsjBQ77txOujo/GaNZMvIiIiPZeS5jO4g20QpJrl7uIJCqK6fyLViadLN0qbSjdOnKQuJobauFiVboiIiEiPpKRZ/O+M0g3r6VU3SkoJKymloV8kBgaW+ga8ZhMek7lpFlplHCIiIhJASpolcAwDZ3gYzvAwTM5GwsrKCC21Y/7kUxLOutRjMvCeSqA9JhNesxmvyYTH99l0xvmmz2f++8x7lICLiIjI16WkWXoEjzWI6v5JVCcmEG+2UG23Y/J4MNweDI8b06nPhttz6rgbs7MRi8eB4XY3HfN6O9eXyYTX1HZSfToRbzsBP3VMCbiIiMh5Q0mz9CwmE97YGBq8nq9/r8eD4fH4Euymz56vkmq3u83zFmcjhqfhq6T8aybgZyfaHosZtzUId1AQbqv11OcgLV0oIiLSSylplr7jVALr7or/qj2eDme6WztmeDxYnE5MdS7MLleLZt3m08m0temzL7FuOuYJsmj2WkREpAdS0izSGlNTycY5fYd4PJgbXZgbnZidjZgbG5s+O51YnA5sNTWYPM1n1L3wVRJ9ZnJ9RmKtByNFRET8T0mzSHcxmXDbrO0uo3e6NrtlYt2ItbYOs7OSs9Njj8nUIpFu/lplICIiIl1NSbNIAHnNZlwhZlwhwW1c4MXkcp2RUDdProPqG1ovA7FY2k2sPRaVgYiIiHwdSppFejLDwBMUhCcoiMa2rvF4ms1QnzlrbWlwYKuuxuRp/mCj1zCazUy3lliLiIjIV5Q0i/R2JhNumw23zdb6ea/3jDKQlom1taYWc2NjizIQd0kZJMSp1ENERAQlzSJ9n2HgtVhwWSy4CGn9Gq8XU2MjFmcjpsZGrHV1hJ8sIq6qCvuQQXi0vbyIiJznNIUkIk1lIFYrzvAwGqKjqEpJpvGSUVgaGog7cBBLfX2gIxQREQkoJc0i0ipvQjxlQy/AwEtc/hfYKqsCHZKIiEjAKGkWkTY1hoZQMmwoLpuVmENHCCsuhU7uligiItKX+KWmubCwkBdffNH3uri4mJtuuonp06f7o3sROQceaxBlQy8g6suj9Cs8gcXhoDI1WUvWiYjIecUvSXNycjLLly8HwOPxcO+993L55Zf7o2sR6QJes4nywQNxnSgiorgEi8OBffAgvBZzoEMTERHxC7+XZ+zdu5ekpCTi4+P93bWInAvDoDo5ifKBqVhr64jPL8DscAQ6KhEREb/we9K8Y8cOJkyY4O9uRaSL1MdEU3bBEAyXm/gDB7HW1AQ6JBERkW5neL3+e6rH5XJx7733smLFCqKiolqcz8nJIScnB4Bly5bhdDr9FZqPxWLB1cq2xOI/GoOeocNxqKsn6JNPob4e98gReFL6+y+484S+F3oGjUPgaQwCry+PgdVq7dR1fk2aP/roI9577z0WLFjQqesLCwu7OaKW4uLiKC0t9Xu/8hWNQc/QmXEwXG6ij3xJcHUNNQlxVPVP0gOCXUjfCz2DxiHwNAaB15fHIDk5uVPX+bU8Q6UZIn2L12LGnjaY2tgYwotLiT70JYbbHeiwREREupzfkuaGhgY+/fRTxo8f768uRcQfDIPK1GQqU/oTXFVFXMEXmJyNgY5KRESkS/ktaQ4ODmbVqlWEhob6q0sR8RfDoDY+DnvaYMwOJ/EHCgiqqwt0VCIiIl1GOwKKSJdxREZQOuwCvIZBbP4XBFdUBjokERGRLqGkWUS6lCskmNLhQ3GFhBBz+EvCi4q19baIiPR6SppFpMt5giyUDh1CXXQ/Ik8UEfXlMfB4Ah2WiIjIN+aXbbRF5DxkMlExcAAum43Ik8WYnU7KhwzCY9GPHRER6X000ywi3ccwqElKxD5oANa6euIOFGBpaAh0VCIiIl+bkmYR6XYN0VGUDk3D8HiJO3AQW1V1oEMSERH5WpQ0i4hfNIaFUjr8AtxWKzFfHCa0pCzQIYmIiHSakmYR8Ru31UrpsDQckRFEHS8k8lihVtYQEZFeQUmziPiV12zGPmQQNfFxhJeWEfPFYW29LSIiPZ6SZhHxP8OgKqU/FQNSsFXXEJd/ELPDGeioRERE2qSkWUQCpi42hrILhmBubCTuQAHWmtpAhyQiItIqJc0iElDOiHBKhg3FazETe/AQIfbyQIckIiLSgpJmEQk4d7CNkmEX4AwLJfrLY0ScOKkHBEVEpEdR0iwiPYLXYqEsbTC1MdFEFJUQffhLDG29LSIiPYSSZhHpOUwmKgekUJmcRHBlFbH5X2BqbAx0VCIiIkqaRaSHMQxqE+KxDxmExeEg/sBBLHX1gY5KRETOc0qaRaRHcvSLpHRoGgBxBQcJrqwKcEQiInI+U9IsIj2WKzSEkuEX4AoOJvrQEcKKS/SAoIiIBISSZhHp0TxBQZQNTaMhqh/9Ck/S7+hx0AOCIiLiZ5ZAByAi0hGvyUT5oAG4bDYiioqxOJzYhwzEa9GPMBER8Q/NNItI72AYVPdPpHxgKta6OuIPHMTc4Ah0VCIicp5Q0iwivUp9TDRlFwzB8LiJzy/AWl0T6JBEROQ8oKRZRHodZ3gYpcOG4g4KIvbgIUJL7YEOSURE+jglzSLSK7ltVkqHXYAjIpyoY8eJPF6olTVERKTbKGkWkV7LazZjTxtMTVws4SVlxBw6guF2BzosERHpg5Q0i0jvZhhUpSZTkZqMraqauPwvMDudgY5KRET6GCXNItIn1MXFYk8bjNnpJO7AQYJq6wIdkoiI9CFKmkWkz3BERlA6/AK8JoO4gi+IPH4CU2NjoMMSEZE+QEmziPQpruBgSocPpT6qH2ElpSR+tp9+R49jdqhkQ0REvjltpyUifY7HYqFi0ACqkxIJLy4h1F5OaJmd+ugoahLjcQUHBzpEERHpZZQ0i0if5bZZqRyQQnViAuElJYSW2Qkpr6ChXyQ1iQk0hoYEOkQREekllDSLSJ/nsQZRlZJMTWICYSWlhJWUEVJZRUNEODWJCTjDwwIdooiI9HBKmkXkvOGxWKjun0RNQjxhpWWElZQSV/AFjrBQahITcESEg2EEOkwREemBlDSLyHnHazZTk5hAbXwcoWV2wotLif3iMM6QEGoS42noF6nkWUREmlHSLCLnLa/JRG18HLWxMYSWVxBeVELM4S9ptNmoSYynPjpKybOIiABKmkVEwGSiLjaGuphogisqiSgqIfrLY0ScLKImIZ66mGgwaYVOEZHzmd+S5traWv77v/+bo0ePYhgGc+fOZfjw4f7qXkSkY4ZBQ3QUDVH9sFVVE1FUTNSxQiJOFlOTEEddbAxesznQUYqISAD4LWn+3e9+x5gxY3jkkUdwuVw4HA5/dS0i8vUYBo5+kTgiI7DW1BJRVEy/wpOEF5VQGx9LbVwcXouSZxGR84lf/t5YV1fHv//9b66++moALBYLYWFa4klEejjDwBkRTtnQNEqGXUBjWCiRJ4tJ/OxzIgpPaotuEZHziOH1er3d3cnhw4dZuXIlqampHDlyhLS0NG6//XaCz9qVKycnh5ycHACWLVuG0+n/bW8tFgsul8vv/cpXNAY9g8ahdUZ1DabDRzAVFYPJhCe5P+7BA6EbdhnUGPQMGofA0xgEXl8eA6vV2qnr/JI0Hzx4kPnz5/PMM88wbNgwfve73xESEsLNN9/c7n2FhYXdHVoLcXFxlJaW+r1f+YrGoGfQOLTP3ODwbdENUBcTTU1CPO5gW5f1oTHoGTQOgacxCLy+PAbJycmdus4v5RmxsbHExsYybNgwADIyMjh06JA/uhYR6RbuYBuVA1MpvmgEtXGxhJZXkPD5AaIPf4mlvj7Q4YmISBfzy4OAUVFRxMbGUlhYSHJyMnv37iU1NdUfXYuIdCu31UpVajI1ifGElZQRVlpGSEUlDZERVCcm0BgWGugQRUSkC/ht9Ywf/ehHvPzyy7hcLhISErj//vv91bWISLfzBAVRnXx6i+5SwkvKiM8/iCM8jOrEBJzhYdooRUSkF/Nb0jx48GCWLVvmr+5ERALCazFTk5TYbIvuuIOHcIaGUJ2YgCMyQsmziEgvpB0BRUS6gddspjYhvqne2V5OeHEJsYeO0BgcTHViPA1R/ZQ8i4j0IkqaRUS6k8lEXVwsdbExhJRXEF5UQsyRo7hOFFGTGE9ddJS26BYR6QWUNIuI+INhUB8TTX10FMGVVYQXFRN19HjzLbqVPIuI9FhKmkVE/MkwaIjqR0O/SGzVNYQXFdPv+AnCi4qpjY+jNi4Wr1lbdIuI9DRKmkVEAsEwcERG4IiMwFpTS3hRMZEniggvKqE2Ppba+Liu6+vUHlaG1wseLwZe8HoxPF7A2+rx5te0f2977XjMZtzWINxWK+6gINzWIDwWi+q5RaTXUdIsIhJgzvAw7OFDCKqrJ7yomPCiEsJKSvGWlBHldGB46SCpbT1hbTp+KuHtZl4Aw8B76uP0v01uNyaPp/m1hoE7yII7yNqUUJ9Kpps+Nx3TbLuI9DRKmkVEeojG0BDKhwzC0tBAeFEJIZVVWD2eZkkoBngNU1NyajLhtZx5rjOf+RrXGq0mwrTSRpszx14vhtuDudGJ2dmIubHxjM9OrLW1mJ2NnH23x2RqnkifnVgHWfQApYj4lZJmEZEexhUcTMWgAVji4igtLQ10OOfGMPBazLgsIbhCQlq/xuvF1OjyJdLNE+tGguorMbvcLW5zWyxnzVSfmrk+dUxlICLSlZQ0i4hIYBkGHmsQHmtQ29uOezxfJdNnJdaWBge26mpMnuZlKE1lIEGtJ9anXqsMREQ6S0mziIj0fCYTbpsNt83W+nmvF8PtPqsE5KuSEGtNLebGVspAzKa2a6tPvRYRASXNIiLSFxgGXosFl8WCi/bKQBqxOBt9n82NTkzORiyNjQTV1mF2Ny8D8QIEBxNrMeOy2XBbrbhsTR9uq1Uz1SLnESXNIiJyfjAMPFYrTqu17UtOP7ToKwVpJNQwMKqqCK6obJFUuy0W3DYrrlPJtNtmw2W14rZZ8ZjNqqkW6UOUNIuIiJziNZtwmYNxBQf7jtnOeCDTcLuxOJyYnU4sDgdmhxOL04mtppbQ8opmbXlMpmaJdNO/rbisNjxBekhRpLdR0iwiItJJXrOZxtAQGkNbKQHxeLA4nU2JtMOJxdmUVAfV1RNcUdmsntprGE1lHtavEmn3GWUfSqhFeh4lzSIiIl3BZMIV3DRL7Tj7nNeL2dnoS6TPnK22VddgOmMDGi/4aqfdrZR9eLU+tUhAKGkWERHpboaB+1R5BhFnnfN6MblcTYn0GTPUFqcTa0UlprPrqIMsX81Mn1X24bXowUSR7qKkWUREJJAMA09QEM6gIAgPa3na5Tqr7MOJ2eHAVlVNqMvV7FqP2dy87OPUih+NwTa8Fv3KFzkX+g4SERHpwbwWC40WC42hLTd+MTyeU8m041S5R1PZh7WuDvNZddRuiwVXsA2XzUZjsO1UKYlNOyeKdJKSZhERkV7KazLhCgnGFRLcykmvr27a0tD0EdTgIKSigjC3x3eZx2TCFWyj8VQS7bI1JdRua5CSaZEzKGkWERHpiwzDt4uiI/KM46drqBscWBoaCDqVVAdXVWO2l/su8xhGUxIdbMNlCz7j3zYl03JeUtIsIiJyPjmjhtoZEd78lMtFUIPjjNnpBqw1dYSWV/qu8cKp2ejTH8E02my4g21a2UP6NCXNIiIiAjTVTzvDLTjPeiDx9KYuloaGpmTa4SCooYHgyipf3XTTUnlBTbXSZ9VNa7tx6QuUNIuIiEi72tzUxeNpSqYdp0o9TtVO26prMM5Ye9odZDmVSDevm/ZYtNW49B5KmkXkvOL1emloaMDj8WD08F/WRUVFOBwttsk473i9XkwmE8HBwT22q8kkAAAgAElEQVR+zM47zR5E7PfV8dMPIZ56+NDS0IDF4SDUXo7Jc8ZDiGbzqRnp5nXT7iA9hCg9j5JmETmvNDQ0EBQUhKUXrFlrsVgw68/aALhcLhoaGggJaWX7aul5znwI8YxcGq8XU6OLoFNJ9Om66eCKKszuMx5CNJma1U2bHI2E1FT7/32Ij8nZSEh1945BY0gIrta2qO8hev5vDRGRLuTxeHpFwizNWSwWzbr3BYaBxxqEwxqE46ytEc9c0eP0DLWtpobQ8go4UUR0gEKWr3T3GFQlJVCjpFlEpGfQn/d7L41d3+Zp5yHE2Mh+lJfbAxSZAERHx3T7GHhMPfsva0qaRUR6mY0bN3LgwAEeeOCBQIci0u28ZjOEBOOutQY6lPObxkBJs4hIIHm9Xt+Dbp11zTXXcM0113RjVCIicjYlzSIifnb06FGys7O59NJL2bt3L3PnzuVPf/oTTqeTQYMG8eKLLxIWFkZOTg4///nPCQ0NZdy4cRw5coQ//vGPrF69mk8//ZQlS5Zw9OhRHn74YcrLy4mJieHFF18kJSWFefPmERERwZ49eygpKWH+/Pl873vfC/RbFxHptbR1j4hIABw6dIjbbruNv/3tb7z11lusXr2a9957j9GjR/PKK6/Q0NDAo48+yuuvv87//d//UVZW1mo7CxYsYPbs2eTk5HD99dfz1FNP+c4VFRWxZs0a/vCHP/Dss8/6662JiPRJSppFRAIgNTWVsWPHkpeXx4EDB5g5cyZTp07lr3/9K8eOHaOgoIBBgwYxcOBAAGbNmtVqO3l5eVx33XUA3HDDDezevdt37tprr8VkMjF8+HBKSkq6/02JiPRhKs8QEQmA0NBQoKmmOTMzk9/85jfNzv/rX/865z6s1q8e2vGesTubiIh8fZppFhEJoLFjx/LRRx9x6NAhAOrq6jh48CAXXHABR44c4ejRowCsW7eu1fvT09NZu3YtAG+//Tbjx4/3T+AiIucZzTSLiARQbGwsL774Ij/+8Y9xOp0APPbYY1xwwQUsW7aMW2+9ldDQUEaPHt3q/YsXL+YnP/kJ//3f/+17EFBERLqe4fXT3+x+/OMfExwcjMlkwmw2s2zZsg7vKSws9ENkzcXFxVFaWur3fuUrGoOeoa+OQ11dna80oqdzOBzYbDa8Xi9PPvkkQ4YM4Z577gl0WAETqLHrq98LvYnGIPD68hgkJyd36jq/zjQvXLiQyMhIf3YpItJr/elPf2L16tU0NjYyatQofvjDHwY6JBGR85bKM0REeqj77ruPu+66K9BhiIgIfi7PCA8PB2Dq1KlMmTKlxTU5OTnk5OQAsGzZMl99nz9ZLBZcLpff+5WvaAx6hr46DkVFRdhstkCHId+Aw+EgMTHR7/321e+F3kRjEHh9eQzOXGmoPX5Lmu12OzExMVRWVrJ48WLuuOMOLrroonbvUU3z+Ulj0DP01XHoTTXNffmX1Dehmubzl8Yg8PryGHS2ptlvS87FxMQA0K9fP8aNG0dBQYG/uhYREREROSd+SZobGhqor6/3/fvTTz/17XIlIiIiItLT+eVBwMrKSp5//nkA3G433/nOdxgzZow/uhYREREROWd+SZoTExNZvny5P7oSEenRFi5cSGpqKnfffTcA2dnZJCcn+yYWnn76aZKSkrj33ns71d6wYcPIz89vcXzevHlMmTKF733ve6xYsYLU1FTmzJnD6tWrWbx4MUlJSbhcLoYOHcrLL79MSEjIN3o/48ePZ8OGDb4SPBGRvkrbaIuI+NG4cePIzc0FwOPxYLfb2b9/v+98bm4u6enpHbZzLg8Izpgxg02bNrFlyxasVmubW3R3N7fbHZB+RUS+Ca3TLCLnLc9br+I9eqhL2zQGDMF0891tnk9PT2fRokUA7N+/nxEjRlBcXExFRQUhISEUFBQwatQonnnmGbZs2YJhGDz00EPMnDmTnTt3snz5cvr160dBQQHbt2/3tev1elmwYAHbtm0jOTm5U0souVwu6urq6NevH9B8dhq+msXeuXMnL7zwAtHR0ezfv59LLrmEX//61xiG4Wurvr6eu+++m6ysLG699Vb+9re/sWrVKpxOJ5deeinPPvssZrOZYcOG8YMf/IAPPviApUuXkpOTw8aNG7FYLGRmZvLzn//8m3zZRUS6nZJmERE/SkpKwmKxcPz4cXJzcxk7diwnT54kLy+PyMhIRo4cSU5ODvv27WPLli0UFxczbdo0MjIyANi7dy/vv/9+i4epN2zYwMGDB9m6dSslJSVMmjSJOXPmtBrDunXr2L17N8XFxaSlpTF16tQO4/7Xv/7F+++/T1JSEjNnzuSjjz7i8ssvB6C2tpa5c+dy4403Mnv2bPLz81m3bh1r1qwhKCiIn/3sZ7z99tvMnj2buro6Lr30UhYuXIjdbueRRx5h27ZtGIZBZWXlOX51RUS6j5JmETlvtTcj3J3S09PJzc0lNzeXe+65h5MnT5Kbm0tkZCTjxo1j9+7dzJo1C7PZTHx8PBkZGezZs4fw8HDGjBnT6upDH374oe+epKQkJkyY0Gb/M2bMYMmSJXi9Xp588kn+67/+iwceeKDdmMeMGeNby/Tiiy/m6NGjvqT5jjvu4P777+f6668HYPv27ezdu5dp06YBTasmxcXFAWA2m5k+fToAkZGR2Gw2HnnkEaZMmdLqplciIj1FhzXNHo+H1atX09jY6I94RET6vNNJ8+eff87IkSO57LLLyMvL61Q9c1du7mEYBlOnTmXXrl1A02YqHo8HaPrZf+bP/TPLPcxmc7Oa6nHjxrFlyxZO75Xl9XqZPXs2mzZtYtOmTXzwwQc88sgjANhsNsxms6+/v//970yfPp2cnBxuvfXWLntvIiJdrcOk2WQysXHjRt8POREROTfp6enk5OQQFRWF2WwmOjqaqqoq8vLySE9PZ/z48axbtw63201ZWRm7du3qcJnOjIwM3z1FRUXs3LmzU7Hs3r2bQYMGAZCamsrevXsB2LhxY6cnSx599FGioqJ48sknAfjOd77DO++849s9rLy8nGPHjrW4r7a2lurqaiZPnsyiRYv47LPPOtWfiEggdKo8IzMzk02bNvHd7363u+MREenzLrzwQux2O7NmzfIdGzlyJLW1tcTExJCVlUVeXh6TJk3CMAzmz59PQkJCuzupZmVlsWPHDiZOnEhKSgpjx45t89rTNc1er5f+/fvz4osvAnDrrbdyxx13MGXKFCZNmvS1ZrV/8Ytf8PDDD7N48WIWLFjAY489xi233ILX68VisbBkyRJSU1Ob3VNTU8OPfvQjHA4HXq+XhQsXdro/ERF/M7yn/57WjqeeeoqCggJiYmKIjY1t9sT0008/3W3BFRYWdlvbbenLe6v3FhqDnqGvjkNdXV2Xljh0J4vFck5Ly5125jrNvVmgxq6vfi/0JhqDwOvLY3D6eY2OdGqmefLkyUyePPmcAhIRERER6a06XZ5hMmkfFBGR3ujb3/42kZGRgQ5DRKRX61TSfM899zBhwgSuuuoq0tLSujsmERHpQldccUWgQxAR6fU6lTQ/+eSTfPDBByxbtoywsDCuvPJKMjMzfetuioiIiIj0ZZ1KmtPS0khLS+OHP/whn376Kdu2beORRx4hLS2NK6+8kiuuuILg4ODujlVEREREJCC+VqGyyWQiJSWFlJQUIiMjsdvtbN++nblz57Jt27builFEREREJKA6lTTX1NSwadMmnnrqKR5//HHsdjsPPPAAv/rVr/j5z3/O/Pnz+d3vftfdsYqI9HoLFy7k1Vdf9b3Ozs7mpz/9qe/1008/zcqVKzvd3rBhw1o9Pm/ePN555x2gacm51atXA7B69Wq+9a1vMXXqVDIzM3nllVd895x5burUqbz55psAHD16lKuvvrrVflwuF9/61rdYunRps+M33ngj48aN48xVTX/0ox+1Ga+ISE/XqaR57ty55OXlkZWVxcqVK7n77rsZMWKE7/zQoUM73PpVRESatpzOzc0Fmraqttvt7N+/33e+M1tpA+e0fvOMGTPYtGkTa9as4eWXX+b48eMtzm3atIns7OwO29q2bRtpaWm88847nL3sf79+/fjoo48AqKyspLi4+BvHLCISaJ1Kmn/961/zxBNPcMUVVxAUFNTqNT/+8Y+7NDARkb4oPT2dvLw8APbv38+IESMIDw+noqICh8NBQUEBo0aN4plnniEzM5PJkyezdu1aAHbu3Ml1113H7bffzsSJE5u16/V6mT9/PldeeSVz5syhrKysw1hiYmIYPHjwOSWza9as4c477yQ5Odn3PwOnzZgxwxf7hg0byMrK+sb9iIgEWqceBIyKiuruOERE/O63uUUcKm/o0jaHRAdzV3pim+eTkpKwWCwcP36c3Nxcxo4dy8mTJ8nLyyMyMpKRI0eSk5PDvn372LJlC8XFxUybNo2MjAwA9u7dy/vvv8/AgQObtbthwwYOHjzI1q1bKSkpYdKkSR3uAHj8+HEcDgcXXnih79i7777Lrl27GDJkCIsWLSIlJaXN+xsaGti+fTu//OUvqaqqYu3atYwbN853/jvf+Q6PPfYYbrebtWvX8txzz/HSSy+1G5OISE+lHUtERPwsPT2d3NxcX9I8duxY3+tx48axe/duZs2ahdlsJj4+noyMDPbs2QPAmDFjWiTMAB9++KHvnqSkJCZMmNBm/+vWrWPKlClMmDCB2267zbf60dSpU/nwww/JyckhMzOTefPmtfs+cnJyuOKKKwgJCWHatGn83//9H26323febDYzbtw41q5dS0NDAwMGDPgmXy4RkR6hUzPNIiJ9UXszwt3pdNL8+eefM3LkSJKTk1m5ciURERHMmTOHHTt2tHlvaGjoOfc/Y8YMlixZwp49e8jOzuaaa64hISGBmJgY3zXZ2dksWbKk3XbWrl3L7t27GT9+PADl5eXs2LGDzMxM3zUzZ87kzjvv5JFHHjnnuEVEAqndmebNmzdjt9v9FYuIyHkhPT2dnJwcoqKiMJvNREdHU1VVRV5eHunp6YwfP55169bhdrspKytj165djBkzpt02MzIyfPcUFRWxc+fODuMYPXo0N9xwA6+99hoARUVFvnMbN25k6NChbd5bXV3Nrl272L17N7t27WLXrl0sXbqUNWvWNLtu/PjxPPjgg8yaNavDeEREerJ2Z5oPHjzI3/72N8LCwrjsssu49NJLGTFiBIZh+Cs+EZE+58ILL8RutzdLJEeOHEltbS0xMTFkZWWRl5fHpEmTMAyD+fPnk5CQQEFBQZttZmVlsWPHDiZOnEhKSgpjx47tVCz3338/1157LQ8++CCrVq1i48aNmM1moqKimtUfHzx4sFmbjz/+OBMmTMBms/mOXXPNNSxevBiHw+E7ZhgG9913X6diERHpyQzv2WsEteLLL7/k448/5p///CeFhYVcfPHFXHbZZYwZM4bIyMhuC66wsLDb2m5LXFwcpaWlfu9XvqIx6Bn66jjU1dV1SYmDP1gslnNaWu60FStWkJqa2uGDgT1doMaur34v9CYag8Dry2OQnJzcqes6VdM8cOBABg4cyKxZs6irq+OTTz7hn//8J6+//jrx8fHMnj27wz8dioiIiIj0Vl/7QcDQ0FCuuOIKrrjiCoB2/1woIiKB9+1vf7tb/yooInI+OOfVM9p7UERERALv9CSHiIh8c1qnWURERESkA0qaRUREREQ6oKRZRERERKQD7dY0/8///E+HDdx4441dFoyIiIiISE/U7kzziRMn2vzYsGEDf/3rX/0Vp4hIn7Bw4UJeffVV3+vs7Gx++tOf+l4//fTTrFy5stPtDRs2rNXj8+bN45133gGa1mlevXo1AKtXr+Zb3/oWU6dOJTMzk1deecV3z5nnpk6dyptvvgnA0aNHSUlJ4Ze//KXvWrvdzqBBg5g/f36zfqdOncrcuXNbxJKRkeFr9/QOhCIivUm7M80PPvhgi2N5eXmsXr2ayMhI7rrrrm4LTESkLxo3bhzr16/n7rvvxuPxYLfbqa6u9p3Pzc1l0aJFHbbjcrmwWL7ZAkgzZsxgyZIl2O12MjMzmT59OikpKc3OnW3gwIFs3ryZxx9/HID169czfPjwZtfk5+fj8XjYvXt3i41IFixYwPe+971vFK+ISE/Q6Z+4//rXv3jrrbeorKzkxhtv5Morr8RkUkm0iPRe//q4jqoKd5e2GRllZtRlbe9al56e7kuK9+/fz4gRIyguLqaiooKQkBAKCgoYNWoUzzzzDFu2bMEwDB566CFmzpzJzp07Wb58Of369aOgoIDt27f72vV6vSxYsIBt27aRnJyM1WrtMNaYmBgGDx5McXGxL2luS0hICMOGDWPPnj2MHj2a9evX8/3vf5+ioiLfNWvWrOGGG24gPz+f9957j+uuu67DGEREeosOk+YDBw7w5z//mRMnTnD99ddz9dVXf+PZDRGR811SUhIWi4Xjx4+Tm5vL2LFjOXnyJHl5eURGRjJy5EhycnLYt28fW7Zsobi4mGnTppGRkQHA3r17ef/99xk4cGCzdjds2MDBgwfZunUrJSUlTJo0qcNts48fP47D4eDCCy/0HXv33XfZtWsXQ4YMYdGiRc2S6ZkzZ7J27Vri4uIwmUwkJiY2S5rXrVvHW2+9RUFBAatWrWqWNC9evJhf/epXALz88svN+hQR6Q3azX6XLVtGfn4+M2fO5PHHH/fNXHg8Ht81mm0Wkd6qvRnh7pSenk5ubi65ubncc889nDx5ktzcXCIjIxk3bhy7d+9m1qxZmM1m4uPjycjIYM+ePYSHhzNmzJgWCTPAhx9+6LsnKSmJCRMmtNn/unXr2LVrFwUFBSxevJjg4GCgqR551qxZ2Gw2/vSnPzFv3rxmz65MnDiR5557jvj4eGbMmNGszT179hATE0NKSgpJSUk8/PDDlJeXEx0dDag8Q0R6v3aT5n/+858AvPHGG7zxxhutXnP64ZLO8Hg8PPHEE8TExPDEE098jTBFRPqO00nz559/zsiRI0lOTmblypVEREQwZ84cduzY0ea9Z9YJf1On65b37NlDdnY211xzDQkJCcTExPiuyc7OblHbbLVaueSSS1i5ciVbtmxh48aNvnNr1qyhoKCA8ePHA1BTU8O7777Lrbfees7xioj0BO0mzf/5n//ZpZ29++67pKSkUF9f36Xtioj0Junp6axcuZKBAwdiNpuJjo6mqqqKAwcOsHz5clwuF6+//jq33HILZWVl7Nq1i6eeeoqCgoI228zIyOD1119n9uzZlJaWsnPnTmbNmtVuHKNHj+aGG27gtdde42c/+xlFRUUkJiYCsHHjRoYOHdrinnvvvZeMjAzfDDI0TYisX7+ezZs3k5SUBMCOHTt46aWXlDSLSJ/RbtIcHx/v+3djYyM1NTWEhYV16gGTs5WVlfHxxx9z/fXX+5ZBEhE5H1144YXY7fZmSe3IkSOpra0lJiaGrKws8vLymDRpEoZhMH/+fBISEtpNmrOystixYwcTJ04kJSWFsWPHdiqW+++/n2uvvZYHH3yQVatWsXHjRsxmM1FRUbz00kstrh8xYgQjRoxodmzXrl0kJSX5EmZoSuLz8/Ob1TyLiPRmhtfr9bZ3QX5+Pm+88Qb79+/H4/FgMpkYPnw4t956a4vlhtqzYsUKrrvuOurr61m/fn2r5Rk5OTnk5OQATfXUTqfza76dc2exWHC5XH7vV76iMegZ+uo4FBUVYbPZAh2GXy1fvpwBAwZw8803BzqUc+JwOHwz4f7UV78XehONQeD15THo7GRwuzPNBw4cYPHixWRmZjJ79myio6MpLy9n586dLF68mAULFnQqcc7Ly6Nfv36kpaWxb9++Nq+bMmUKU6ZM8b0uLS3t1JvoSnFxcQHpV76iMegZ+uo4OBwOzGZzoMPolK76JeXxeHC73b3+F57D4dDvhfOUxiDw+vIYJCcnd+q6dpPmt956i1tuuYWsrKxmDV988cWkpqby5z//mYULF3bYyf79+8nNzeWf//wnTqeT+vp6Xn75ZR566KFOBSkiIt/ct7/9bSIjIwMdhohIr9Zu0nzw4EEee+yxVs9NmjSJt956q1OdZGdnk52dDcC+fftYv369EmYRET+54oorAh2CiEiv1+4iy4Zh4Ha3vltWb/8zn4iIiIhIZ7WbNF900UVtrnTxzjvvfKMdnS6++GKt0SwiIiIivUq75RnZ2dk89dRTHDp0yLcuZ3l5OR9++CH79+/nmWee8VecIiIiIiIB0+5Mc2pqKs8++yxhYWG8+eabLFu2jDfffJOwsDCeffZZUlNT/RWniEifsHDhQl599VXf6+zsbH7605/6Xj/99NOsXLmy0+0NGzas1ePz5s3z/aVwxYoVvt1bV69ezbe+9S2mTp1KZmYmr7zyiu+eM89NnTqVN998s1mbr776KmlpaVRVVfmO1dfX88ADDzB58mSuvvpqZs2aRW1tbauxtXa/iEhv0e5MM0BSUhIPPvigP2IREenzxo0bx/r167n77rvxeDzY7Xaqq6t953Nzc1m0aFGH7bhcLiyWDn+Et+r0Ntp2u53MzEymT59OSkpKs3OtWbt2LaNHj2bDhg3MmTMHgN/+9rfExcWxefNmAAoKCtqMq7X7RUR6i3Znmk+rqalp9XhZWVmXBiMi0telp6eTl5cHNC3HOWLECMLDw6moqMDhcFBQUMCoUaN45plnyMzMZPLkyaxduxaAnTt3ct1113H77bczceLEZu16vV7mz5/PlVdeyZw5czr18zkmJobBgwdTXFzc4bWHDx+mtraWxx57jDVr1viOFxcXN9sJcOjQoa1uHtPW/SIivUW70xSFhYUsX76cwsJCoqKiuO2225otXfTwww/zhz/8oduDFBHpDtu2baOkpKRL24yPjyczM7PN80lJSVgsFo4fP05ubi5jx47l5MmT5OXlERkZyciRI8nJyWHfvn1s2bKF4uJipk2bRkZGBgB79+7l/fffZ+DAgc3a3bBhAwcPHmTr1q2UlJQwadKkDmdzjx8/jsPhaPZQ97vvvsuuXbsYMmQIixYt8s1Ar127lhkzZjB+/HgOHjxISUkJ8fHxzJkzh+zsbP7+97/zne98h9mzZ5OWltair7buFxHpLdqdaf79739PRkYGr732GnfeeSd//OMfm80QdLADt4iItCI9PZ3c3Fxf0jx27Fjf63HjxrF7925mzZqF2WwmPj6ejIwM9uzZA8CYMWNaJMwAH374oe+epKQkJkyY0Gb/69atY8qUKUyYMIHbbruN4OBgAKZOncqHH35ITk4OmZmZzJs3z3fP2rVrmTlzJiaTiWnTpvnqpUeNGsX/+3//j7lz51JRUcH06dPJz89v0Wdb94uI9BYdbm7yxBNPYDKZuPzyy7ngggtYsmQJ9fX13HLLLf6KUUSkW7Q3I9ydTifNn3/+OSNHjiQ5OZmVK1cSERHBnDlz2LFjR5v3hoaGnnP/p+uW9+zZQ3Z2Ntdccw0JCQnExMT4rsnOzvbVNv/73//m0KFDvp/7jY2NDBgwgDvuuAOAsLAwpk2bxrRp0zCZTGzevLnZQ4Ad3S8i0ht0uLlJfX2973VsbCyLFi3ik08+YdWqVd0enIhIX5Senk5OTg5RUVGYzWaio6OpqqoiLy+P9PR0xo8fz7p163C73ZSVlbFr1y7GjBnTbpsZGRm+e4qKiti5c2eHcYwePZobbriB1157DYCioiLfuY0bNzJ06FAA1qxZw8MPP8yuXbvYtWsXH3/8MUVFRRw7doyPPvqIiooKAJxOJwcOHGixslJ794uI9BbtJs3Dhw9n9+7dzY5FRkby85//nPz8fBwOR7cGJyLSF1144YXY7XYuu+wy37GRI0cSERFBTEwMWVlZXHjhhUyaNImbbrqJ+fPnk5CQ0G6bWVlZDBkyhIkTJ/If//EfjB07tlOx3H///axevZqamhpWrVrFpEmTmDJlCq+99hovvfQS0FTOkZWV1ey+a6+9lrVr13L48GFuvPFGJk+ezHe/+11Gjx7N9OnTm13b3v0iIr2F4W2nMPnEiRPU1tb6ZhvOVF9fz+7du7nqqqu6LbjCwsJua7stcXFxlJaW+r1f+YrGoGfoq+NQV1fXJSUO/mCxWHC5XOfczooVK0hNTe31y7wFauz66vdCb6IxCLy+PAbJycmduq7dmub+/fu3eS4kJKRbE2YRERERkZ6i3aT5N7/5Tbs3G4bB3LlzuzQgERHpWt/+9reJjIwMdBgiIr1au0nzmU9Sn8npdPKPf/yDmpoaJc0iIj3cmevri4jIN9Nu0nzzzTc3e+12u9m0aRP/+7//y5AhQ1qcFxERERHpi9pNmk/zeDxs3bqVv/3tb8TGxvIf//EfXHTRRd0dm4iIiIhIj9Bh0rxjxw7+8pe/EBoayl133cWll17qj7hERERERHqMdpPmRx99FLvdzsyZM7n88ssxDKPZ4vcAiYmJ3RqgiIiIiEigtZs0f/nllwC88cYbvPHGG61es3r16q6PSkSkj1q4cCGpqancfffdQNN21cnJyTz//PMAPP300yQlJXHvvfd2qr1hw4aRn5/f4vi8efOYMmUK3/ve95qt07x69WoWL15MUlISDoeDH/zgB9xzzz0Azc4B3HHHHWRnZ3P06FEmTpxIWloajY2NXHLJJaxYsYKgoCB27tzJj370IwYMGODr+6mnniIzM5MBAwYwcuRI3/FVq1Y1u05EpDdpN2lWQiwi0rXGjRvH+vXrufvuu/F4PNjtdqqrq33nc3NzWbRoUYftuFwuLJZOPZbSwowZM1iyZAl2u53MzEymT59OSkpKs3NnGzRoEJs2bcLtdnPzzTezfv16rr/+egAuv/xy/vjHP7a4Jzg4mE2bNn2jGEVEeppv9hNXRKQPCC9Zj8VxokvbdNn6UxP//TbPp6en+5Li/fv3M2LECIqLi6moqCAkJISCggJGjRrFM2TAXFAAACAASURBVM88w5YtWzAMg4ceeoiZM2eyc+dOli9fTr9+/SgoKGD79u2+dr1eLwsWLGDbtm0kJydjtVo7jDUmJobBgwdTXFzsS5o7YjabufTSSzl58mSnrhcR6SuUNIuI+FFSUhIWi4Xjx4+Tm5vL2LFjOXnyJHl5eURGRjJy5EhycnLYt28fW7Zsobi4mGnTppGRkQHA3v/P3p1Hx1EdaMN/blX1rl1tyZZsWZZ3YozBdmwMNjjYBAhD/AJJXpiXGcgEmAGScc5kTkhisCGQcAKEzCTOhGSAJCQz7wxJIGS+8H0cBwOxDTYysVm9yIu8am3trV6q6n5/dHd1t9StXd0t6fkd+lTVrVtL69LWo9u3qt5/H6+99hqqqqqS9vvKK6/g2LFjeP3119Hc3Iz169cP+tjss2fPIhgMYvHixVbZH//4R+zduxdz5szBtm3b+oXpQCCAd999Fw8//LBVtm/fPmzcuNFa/tnPfobq6moEAgGrvKqqCs8888zIfmhERDmAoZmIpqyBeoTH04oVK1BbW4va2lrcddddaGhoQG1tLQoKCrBy5Urs27cPmzZtgqqqmDZtGlavXo2DBw8iLy8Py5Yt6xeYAeDtt9+2tpk+fTouu+yytMd/+eWXsXfvXtTV1eGRRx6B0+kEAGzcuBGbNm2Cw+HA888/j82bN+OFF14AANTX12Pjxo04ffo0rrrqqqTbjnJ4BhFNBUq2T4CIaKqJheZDhw5h0aJFuOSSS7B//37U1tZixYoVA27rdrtHffwbbrgBO3bswO9//3t897vfRVNTE4DIcA2HwwEgcoHi+++/b20TG9O8Z88evPfee3j11VdHfR5ERBPJkELz9773vZTlsau9iYho6FasWIEdO3agqKgIqqqiuLgYnZ2d2L9/P1asWIFVq1bh5ZdfhmEYaG1txd69e7Fs2bIB97l69Wprm8bGRuzZs2fQ87joootw0003WcMmEm8p+uqrr2LevHn9tikpKcE3v/lN/PCHPxzmuyYimtiGNDzjww8/HFY5ERGlt3jxYvh8PmzatMkqW7RoEXp6elBSUoJrr70W+/fvx/r16yGEwLe+9S2UlZWhrq4u7T6vvfZa7N69G1deeSUqKyuxfPnyIZ3LPffcg2uuuQZf/vKX8eyzz+LVV1+FqqooKirCD37wg5TbXHPNNXjyySexd+9eAP3HNP/jP/4jrr/++iEdn4hoohBSSpluZeyWcy+//DJuuOGGpHWNjY04c+ZM2l7osXDu3Llx23c6Xq8XLS0tGT8uxbENcsNkbQe/3z8mQxwyQdM06Lo+6v0k3qd5IstW203Wz8JEwjbIvsncBhUVFUOqN2BPc2trKwDANE1rPsbr9eLzn//8CE+PiIiIiGjiGDA033PPPQCABQsWYMOGDRk5ISIiGluXXnopCgoKsn0aREQT2oChOdYNv2zZsrRd8l6vd+zPioiIxsyaNWuyfQpERBPegKH53nvvHXQHfNQ2EREREU12A4bm2bNnIxQK4YorrsDatWtRUlKSqfMiIiIiIsoZA4bm733vezh16hTeeOMNPPDAA5g5cybWrVuHVatWwW63Z+ociYiIiIiyatCHm1RVVeG2227D9u3b8ZnPfAb79+/HXXfdhePHj2fi/IiIJpWtW7fiZz/7mbV866234mtf+5q1/NBDD+Hpp58e8v7mz5+fsnzz5s34n//5HwCRW87FhtL913/9Fy688EJs3LgR69atw09/+lNrm8R1GzduxH/8x39Y6w4fPozPfe5zWLt2LS677DI89dRTiN2xtO92GzduxJEjRwAAx44dw2233YbLLrsMn/70p3H33XejubkZe/bswaJFi3D11Vdj7dq1uPHGG/nIbSLKaUN6uAkANDQ04KOPPsLRo0cxZ84c5OXljed5ERFNSitXrsQf/vAH3HnnnTBNEz6fD11dXdb62tpabNu2bdD96LoOTRvyP+FJbrjhBjz66KPw+XxYt24dPvOZz6CysjJpXaLe3l7ccccd+O53v4srrrgCvb29uPPOO/GLX/wCt99+e9rtAoEA/uZv/gZbt27F1VdfDQDYs2ePdQvTT37yk/jlL38JAPjggw/wd3/3d3A6nVi7du2I3hcR0Xga8F/c7u5u7Nq1C2+88QYCgQDWrl2Lhx56iHfMICIaoRUrVlih+PDhw1i4cCGamprQ3t4Ol8uFuro6LFmyBN/+9rexc+dOCCHwla98BZ/97GexZ88ePP744ygsLERdXR127dpl7VdKiS1btuDNN99ERUXFkIbQlZSUoLq6Gk1NTVZoTuWll17CihUrcMUVVwAAXC4XHnnkEdx8881WaE633fLly63ADMTv5NH3Md9LlizBV7/6Vfz85z9naCainDRgaL777rtRVlaGtWvXYsGCBQAiPc4NDQ1WnSVLlgx6kFAohK1bt0LXdRiGgdWrV/PBKESUde+e/xXaA/Vjus8i52xcMuP/pF0/ffp0aJqGs2fPora2FsuXL0dDQwP279+PgoICLFq0CDt27MCHH36InTt3oqmpCddddx1Wr14NAHj//ffx2muvoaqqKmm/r7zyCo4dO4bXX38dzc3NWL9+/aBPADx79iyCwSAWL15slf3xj3/E3r17MWfOHGzbtg2VlZU4fPgwli5dmrRtdXU1/H6/1Uv+8ssvY9++fdb6l19+GYcOHeq33UCWLFmCf/u3fxtyfSKiTBowNBcVFSEUCuFPf/oT/vSnP/VbL4TAj370o0EPYrPZsHXrVjidTui6jgcffBDLli2zgjgR0VSyYsUK1NbWora2FnfddRcaGhpQW1uLgoICrFy5Evv27cOmTZugqiqmTZuG1atX4+DBg8jLy8OyZcv6BWYAePvtt61tpk+fjssuuyzt8V9++WXs3bsXdXV1eOSRR+B0OgEAGzduxKZNm+BwOPD8889j8+bNeOGFF4b0nlINzyAimkwGDM3bt28fk4MIIax/lA3DgGEYEEKMyb6JiEZqoB7h8RQLzYcOHcKiRYtQUVGBp59+Gvn5+fjCF76A3bt3p93W7XaP+vixgHvw4EHceuutuPrqq1FWVpZ0W9Fbb73VCsELFizA22+/nbSP+vp6uN1u5Ofnpz3OwoUL8dZbbw35vD744IO0FzYSEWXbyK4iGQHTNPH1r38dDQ0N+PSnP53yH8YdO3Zgx44dAIDHHnssK2OnNU3jmO0sYxvkhsnaDo2NjSO+gG6srF69Gk8//TRmz54Nh8OBadOmoaurC0eOHMH3v/99SCnxy1/+Erfccgva29uxb98+PPTQQzh69CiEEP3OX9M0XHbZZdY2LS0t2LNnD2666SZomgZFUaCqKjRNg6qqUBQFmqZh+fLluPnmm/Hss89iy5YtaGxsRHl5OQDg1Vdfxfz586FpGj73uc/hhz/8IXbv3m1dCPjggw/ivvvu67fPRDfffDN+9KMfYefOndi4cSMA4K233kJRURFUVU16Lx9++CF+8IMf4Pvf/37a9nE4HPy9MEWxDbKPbZDB0KwoCh5//HH09PTgiSeewKlTp/p9xbhhwwZs2LDBWk736O7x5PV6s3JcimMb5IbJ2g7BYBCqqmb1HObPnw+fz4dNmzZB13UAkV7Z7u5uFBYW4uqrr8a+ffuwfv16CCHwzW9+EyUlJTAMA1JKa5sYXddx9dVX480338Tll1+OyspKLF++HIZhQNd1mKZpzRuGAdM0rX38wz/8A6655hrcd999+OlPf4pXX30VqqqiqKgITz31FHRdh81mw7PPPosHHngA999/P0zTxE033YS//du/tfb50ksvJfVGf+c738HKlSvxi1/8Alu3bsWWLVtgs9mwePFiPPzww2hubsbevXvxqU99Cr29vfB6vXj44YexZs2afu8vJhgM8vfCFMU2yL7J3AYVFRVDqidk7EabGfSb3/wGdrsdN9xww4D1zp07l6EzipvM/1NMFGyD3DBZ28Hv94/JEIdM0DQtbYAcjieffBIzZ84c9MLAXJettpusn4WJhG2QfZO5DYYamgd9uMlY6OzsRE9PD4DInTTee++9AW9vRERERESUSzIyPKOtrQ3bt2+HaZqQUuLSSy/F8uXLM3HoKcM0TTQ2NqK+vh6hUChlnb4XXw62PJR6I9lmsO3cbjf8fr9VJ9226c4j1fxg+xjrYwghrHGkiqL0m0+1HCsTQvBCWRpTl156KQoKCrJ9GkREE1pGQvPs2bPxve99LxOHmlLC4TBOnTqFEydO4MSJE+jt7YUQAjabzaqTbvRN3/LBlodbj0YnVZgezfJQy/ou0+QQe6AIERGNXHYvIadh6+npsULyqVOnYBgG7HY7qqurUVNTY12Nn03DDeR9l0tLS61xU4nrBptPt9+hrh/LY0gpYZqm9YpdfDXS5cHqJV7sNdh+DMPAULzyyivwer2YO3cu5s2bh5KSEvaAExHRlMXQnOOklPD5fDh+/DhOnDhhPY0xPz8fS5YsQU1NDSoqKrJ+N4BEQx2KkY7NZkvqLaexN1gg13UdbW1teO+997B3717s3bsXRUVFVoAuKytjgCYioimFoTkHmaaJc+fOWUG5o6MDAFBeXo7Vq1ejpqYGpaWlDC00YkMZfrF48WIsWLAAPT09OH78OOrq6vCXv/wF+/fvR15eHubNm4e5c+dixowZHMpBRESTHkNzjgiFQqivr8fx48dx8uRJ616ys2bNwiWXXII5c+YgLy8v26dJU5DH48GFF16ICy+8EIFAACdOnEBdXR3ef/99HDhwAC6XC3PnzsXcuXMxc+bMnPrWIxdt3boVM2fOxJ133gkg8uS9iooKPPHEEwCAhx56CNOnT8fdd989pP3Nnz8fR48e7Ve+efNmbNiwAddff/3YnTwR0RTG0JxF3d3dOHHiBI4fP47Tp0/DNE04nU7MmTMHNTU1qKqqgt1uz/ZpElmcTicWL16MxYsXIxQK4eTJkzh27BgOHz6MDz74AA6HA3PmzMHcuXMxe/bsrD95LxetXLkSf/jDH3DnnXfCNE34fD50dXVZ62tra7Ft27ZB96PrOn++REQZxH9xM0hKidbWVmvYRWNjIwCgsLAQF110EWpqavhVN00YdrsdCxYswIIFC6DrOk6dOoVjx47h+PHjOHToEDRNQ3V1NebOnYvq6uqsX6CaK1asWGGF4sOHD2PhwoVoampCe3s7XC4X6urqsGTJEnz729/Gzp07IYTAV77yFXz2s5/Fnj178Pjjj6OwsBB1dXXYtWuXtV8pJbZs2YI333wTFRUV/IObiGiMMTSPs3A4jNOnT6O+vh4nT560epTKy8tx6aWXoqamhncloAlP0zTU1NSgpqYGhmHg7NmzOHbsGI4dO4a6ujooioKqqirMmzcPc+bMgcvlyvYpAwAKzpyDrTcwpvsMu5zonJn+6VLTp0+Hpmk4e/YsamtrsXz5cjQ0NGD//v0oKCjAokWLsGPHDnz44YfYuXMnmpqacN1112H16tUAgPfffx+vvfYaqqqqkvb7yiuv4NixY3j99dfR3NyM9evXT/gnABIR5RKG5nHQ3t6OkydP4uTJkzhz5gxM04TNZsOsWbOwcuVKzJkzBx6PJ9unSTQuVFVFVVUVqqqqcMUVV6ChoQF1dXU4duwYTp48CSEEKisrMW/ePNTU1EzJsforVqxAbW0tamtrcdddd6GhoQG1tbUoKCjAypUrsW/fPmzatAmqqmLatGlYvXo1Dh48iLy8PCxbtqxfYAaAt99+29pm+vTpuOyyy7LwzoiIJi+G5jGg6zrOnTtnBeX29nYAQHFxMS666CJUV1djxowZHH9IU46iKKioqEBFRQXWrl2L5uZmK0C//vrreP311zF9+nTrThyFhYUZPb+BeoTHUyw0Hzp0CIsWLUJFRQWefvpp5Ofn4wtf+AJ2796ddlu3253BMyUiohimuBHq6upCfX09Tpw4gTNnziAcDkNVVcycOdMKypkOAES5TAiBsrIylJWVYc2aNWhtbbWGcOzatQu7du3CtGnTrDtxlJaWZvuUx82KFSvw9NNPo6qqCqqqori4GJ2dnThy5Agef/xx6LqOX/3qV7jlllvQ2tqKvXv34oEHHkBdXV3afa5evRq/+tWv8LnPfQ4tLS3Ys2cPNm3alMF3RUQ0uTE0D5FhGGhoaLB6k1tbWwFEHjKyaNEiVFdXY+bMmXwoB9EQlZaWorS0FJ/85CfR0dFhBei3334bb7/9NoqLi62HqUybNm1SjftfvHgxfD5fUqhdtGgRenp6UFJSgmuvvRb79+/H+vXrIYTAt771LZSVlQ0Ymq+99lrs3r0bV155JSorK7F8+fJMvBUioilDyL7PBc4h586dy/gxvV6v9QjncDiM48eP4/jx46ivr0coFIKiKJgxYwbmzJmD6upqFBcXT6pf5rkgsQ0oe7LVDt3d3dbDVM6ePQspJfLz860APWPGjFF95vx+/4QZ4qBpGnRdz/Zp5IxstR3/Tco+tkH2TeY2qKgY2lA99jT3IaXE+fPn8dFHH+Ho0aMIhULweDyYN28eqqurMWvWLN46i2gc5eXlYenSpVi6dCl6e3uth6m89957OHDgANxutzWEo7Kykg9TISKijGBoTnDgwAF89NFHaGlpgaZpmD9/PhYvXozKykr2JhNlgcvlwgUXXIALLrgAwWDQepjKxx9/jPfffx8OhwM1NTWYO3cuqqqqeLEtERGNG/6GSXD+/Hm4XC5cddVVmD9/Ph8OQJRDHA4HFi5ciIULF0LXddTX11vjoD/++GPYbLakh6nw80tERGOJoTnB1VdfjfLy8kk7ZodostA0zRqiYRgGzpw5YwXoo0ePQlVVzJo1C9OmTUNxcbH1stvtyOHLOGgQbDsiyiaG5gQcG0k08aiqitmzZ2P27Nm48sorcf78eetBKvX19UlBy+PxYOnSpZg3bx4cDgdUVYWmaVAUhUOwcpyu61AUJdunQURTGEMzEU0aiqKgsrISlZWVWLduHXRdR0dHB9ra2qzX8ePH0d3djYKCgqTtbDYbHA4H7HZ70iubf0w7HA4Eg8GsHT9XSCmhKAqcTme2T4WIpjCGZiKatDRNs+4HnUhKCb/fj7a2NrS3t8Pn81nTrq6ufr3TJSUlKCoqSprm5eWNe+/0ZL7FExHRRMPQTERTjhACHo8HHo8HM2fOTFqXqne6ra0Nhw8fRigUsuppmoaioqKkMdPFxcUoKiriRYhERJMQQzMRUYKh9E4nvhobG3H06NGkunl5ef3CdHFxcUZ6pzPNMAyEw2Hrpes6QqGQtdz34r10779veeJyNrcRQsDv96OnpweapvV7Tbb2JKL0GJqJiIZgKL3TsWEesUB96NChlL3TfYd7FBcXw2azjev59w23Y/UyTXNczzvXKYqSMkxrmgZVVWGz2ZKWR1uXF0MSZQ9DMxHRKA23d7qhoQFHjhxJqpuqd9o0TTQ3NyMUCkHXdYTD4aT58Qq3QgjYbDbYbDbY7XZomgabzQaXy4WCgoKkssFeiSGvb69zulvIJZZnexspJfLy8uDz+ayfu2EY0HU97Su2PhwOo7e3N2WdkVIUJSlgDxTEE8N43wtcU714BymigTE0ExGNk8F6pxN7pWMXJX788ccIh8ND2n/srh99X263e0iBVtM02O32fmWqqnLYQYKxviBTSgnDMAYN36mC+ECvWEhPVXco97hWVTUpRMfCdqq7yvR9JQZzm83G/39oUmJoJiLKAk3T4PV64fV6k8pjvdM+nw+apiEQCKQNvewZnJiEEFZPsMPhGPfjSSmtsebDffX09KCtrc1aNgxjSO9vqL3bg704HIVyCUMzEVEOSeyd5i3naCwkDrfxeDyj2pdhGEMK27GhRMFg0Jp2dXUlrR+KxG9Dpvr4+WxTVXVIfzSNxsUXX4xly5aN6zFGg6GZiIiIhkRVVbhcLrhcrlHtR0qZMmSnegWDQdhsNj7oJ8sy8bCl/Pz8cd3/aDE0JxjKmC8iIiIaHSEEHA7HkIen8FuX7GMbMDQn2XPmh+itb0aeVoFCxywUOWeh0DkLLq2YFzUQERERTWEMzQm8rvloCws0dx1Gfcceq1xTnMizlyHPVgaPvSwyby9Dnr0cblspFMGLcYiIiIgmM4bmBAu911pfP4SMHrQHTqMjcBpdofPoDjWjI3gO57oPwpTxCxgEVHjspcizlVuBOt8en9eU8b8ymoiIiIjGF0NzGnbVgzLPIpR5FiWVS2miV29Hd6gR3aGm6Csy39pxDGHTn1TfpRVbvdJ59nLk28tR4JiJfEc5FMEfPxEREdFEwNQ2TEIocNtK4LaVoMyzuN/6oN6N7nATekKN6LKCdSPOd7+HgN5u1VOEinx7BQqdM1HomGlNPTYvhOB9KYmIiIhyCUPzGHNoeXBoeSh11fRbp5sBdAUb0RE8E3kFzqDFfxSnOt6y6miKEwWOShQ6ZkYuRIwGaqdWmMm3QUREREQJGJozSFOcKHbNRrFrdlJ52OhFR/AsOgKno4H6NM51vYsT7W9YdRxqfrxX2jHLmrepo7tXJhERERENLiOhuaWlBdu3b0d7ezuEENiwYQOuu+66TBx6QrCpLnjd8+B1z0sqD+gd6AhEeqXbo4H6RPub0M34zcXdNm/S8I7IdBYUDvEgIiIiGjMZCc2qquK2225DTU0Nent7cf/992Pp0qWYOXNmJg4/YTm1QjjzClGe9wmrTEoTPeEWa3hHZHoaDd3vQyLyeEuXVoLqostQXXQ5ChwV2Tp9IiIiokkjI6G5uLgYxcXFAACXy4XKykr4fD6G5hEQQrHuE12Zf4lVbpg6ukMN8AVO4nTHWzjU8j/4uOUPKHHVoLpoLaoKVsGh5fbjKYmIiIhylZAZfnZ0U1MTtm7diieffBJutztp3Y4dO7Bjxw4AwGOPPYZQKJTJUwMAaJoGXdczftyx1hP04UjTThxu3IHWnpNQhIbq0lVYVL4BVSUroCq5O5x9srTBRMd2yD62QW5gO2Qf2yD7JnMb2O32IdXLaGgOBALYunUrbrzxRqxatWrQ+ufOncvAWSWbbM9Wl1KiPVCPk+27UN+xB0GjCw41H1WFl6K6aC2KnbNz7hHhk60NJiq2Q/axDXID2yH72AbZN5nboKJiaENZM9bdqOs6nnzySaxdu3ZIgZnGhhACxa5qFLuqcdH0/43z3e/hZPsuHGt7DUd9r6LQMRPVRZdjduFlcNmKsn26RERERDkpI6FZSomf/OQnqKysxPXXX5+JQ1IKitBQmX8JKvMvQVDvxunOt3GyfTcONv5fvNf4XyjPuxDVRZejMn85NGVoX1UQERERTQUZCc2HDx/Gm2++iaqqKvzzP/8zAOCWW27BJZdcMsiWNF4cWh7mlWzAvJIN6Ayejw7f2I23z/wYNsWFWQWrUF10ObzuBTk3fIOIiIgo0zISmhctWoT//u//zsShaAQKHDOwtPxzuLDsJjT1fIyT7btwqvMtHG9/HR5bmXX7ujx7WbZPlYiIiCgrcvcWCpRxQigoz/sEyvM+gUuMv8WZrlqcbP8zPmx+CR82v4hp7oWoLrocswpW8UmERERENKUwNFNKNtWJOUWXY07R5egJtaC+Yw9Otv8Z75x7Bu+efx6VBctRXXQ5yj1L+PRBIiIimvQYmmlQHrsXF0y7AYu9fwVf7zGcaN+F051v41THW3BpxZhduAbVRZej0MmH1RAREdHkxNBMQyaEQKl7Hkrd83Dx9L/Gue4DONn+ZxxufQWHWv8fFDvnRG9fdymfPkhERESTCkMzjYiq2DCrYCVmFaxEQO9AfcdbONm+C39peB4HGv4DFfkXobpoLWbkLcvppw8SERERDQXTDI2aUyvEwtJrsLD0GrQHTlu3rzvb9S7sah6qClejumgtSpxzePs6IiIimpAYmmlMFTlnYdn0W7C0/PNo7P4AJ9t34UTbG6jz7UCBowLVhZdjdtFlcNtKsn2qREREREPG0EzjQhEqZuRfhBn5FyFk9OB0xz6c7NiF95r+G+81vYByzydQXXQ5ZhYsh6Y4s326RERERANiaKZxZ1c9mFuyHnNL1qM71IiT7btwsn0X9p79Cfafd2JWwSdRXXQ5prkXQvD2dURERJSDGJopo/Ls5VhSdhM+Me1/odl/BCfb/4zTnftwov1NeGxezC66HEudV6M3bEARGhShQVU0CKgcD01ERERZw9BMWSGEgjLPIpR5FuGSGX+Ds537cbJ9Fz5u/j0+an4p5TaxEG2FaWveFp2qUBPmFcU2wDaJZbZIfaFZ26Sq1/+YatI8Qz0REdHkxdBMWacpDswuWoPZRWvgD/vgF6fQ3tkKU+pJLyNx2YyVhWFKI1oehil1hEx/v22T9mPqkDDG/H1EQrTNCuI21QVNccKmuGBTXNDUhHnFBZvqjEwVV7SuCzbFac2rwsYgTkRElCMYmimnuG0lqPIuQIvWMq7HkdJMCNux8K1Hy8JpQ3pyefptDDOEsNkL3QggbPaiV2+HbgYQNnqhm72QkIOeo4CSFLxjQduaTwjYyfP9AzrvlU1ERDQ6/E1KU5IQClShQIUt48eWUsKQQYSNAHSzF2EzEA3YA8/rZi9CRg96Qq3R7Xqhm4EhHVMRWtrgranR3u6keRfCtmoYugMOtYA93kRENOUxNBNlmBACmnBGb7VXNKp9SWlCN4PRAN2LcELATjsf7QEP6O3oigbvsNELQ4aSd34mMtEUJ/LsZcizlyPPVhaft5fDZSuBwjueEBHRFMDQTDSBCREZwmFTXaPelykNK0CHTT80l45zLUfRHWpEd6gJHYEzONf1LkwZHw+uCA0e27RokI6H6Tx7GTy2aVCVzPfkExERjQeGZiICELmQ0a56YFc9AABvqRd5siapjilN9IZ90SAdCdPd4SZ0hxrR7D/cZ7iIgNtWktBLXZ4QrMvGJOgTERFlCkMzEQ2ZIhR47F547F6U4xNJ66SUCBqd8TAdajykcgAAIABJREFUarLmz3buR9DoSqrvUPOTeqbj0zKOoyYiopzD0ExEY0IIAadWCKdWCK97Qb/1YaM3IVDHeqkb0ew/hPqOPUDCHUUi46jLU46ldttK+ORIIiLKOIZmIsoIm+pCsasaxa7qfusMM4SecEufUN2IjsDpAcZR9+2hLofH5uU4aiIiGhcMzUSUdapiR4GjAgWOin7rIuOoW5PCdGwsdbP/Y+hm0KorIOCylVrDPDw2L9y2Uuvl0kp4z2oiIhoR/vYgopwWGUc9DR77tAHHUXeFmtATDdRdocaU46iByBASt60UHlspXNFpPFiXcDw1ERGlxNBMRBPWYOOodTOE3nAresKtkUe0h1vgD7fCH25Fe+AUznUd6Hd/alXY+oTpkoRQ7YXbVgJNcWTqLRIRUY5gaJ6ATEMiGJQIBc3INJAwH4xcTKUogBCAUIQ1rygCQgGUWLlAZFmJhA9FiSwnzitCJNRJsY/E44jY9mBPHeUETbEj3zED+Y4ZKddLKREyuqOhOhaofVawbuh+H716O9Dnsed2Nc/qrXaneDm1Ij70hYhokmFozgGGEQm7wYCJUDT4BoPR+UB8PhaU9XDq/QgB2OwCQgBSAqYpIU3AlIA0M/ue4sF6oBCeGOjjIdzhCCEUCkFGc0rfKWQ8wshooZSwCmVCvkneVsa37TtNVZa475T763tO8f3H/sBQVUBRBVQlMlVUQFUj71ONLifViy4n1kssj9VL3D6pXvTnSEMjhIBDy4dDy0dJigsUAcAwdQT0tmiwTn51h5rQ2PNRv8eZC6hw2Yr7Df1wJ4yxtqvuDLxDIiIaKwzNGRDoNdHZbqCz3UB3lxnpFQ7Ew7Ghp95OCMDuEHA4BOxOBUUeBQ6HBrtDiZQ7RXzeIaKBOXVgklJCRsOzFaglYJqANKUVrE0zUjdSDphSJm+Tsk7ffSTvOz4f35+1TcK+TV0ibAJ6WIdhyKSfQ+IUIqEsukIRsYUU9a15Ef0vNkX/ab8yMYT9Jp6bgED852MYkalpxOf1sIRhAKZhwjAj3xyYBmCYkeloCQXJIV0ZWji3Qnw0fPdUdEPRTLjcU7vHVFU0a0x1OiHD3y9Qx14t/iPwh9sgkdy4NsUFl60kGqy9fcJ15KJFIiLKHQzNY8g0Jbo7TXREA3LsFRsyAQAOp4DDqcDhFPDkK7A7bJFQHH05HArszsi8zZY+BA+XEJEeaFj5J3d7I71eL1paWrJ9GlkRC9umEfn/KRKuEwJ4Qrg2jej6dPWswB6vZxqAoUuEQ4BhmP2OYyTkuo8ONgCI/D9bVKKiqESLTlXYHVM7SPdlV92wq24UOWelXG9KEwG9PWH4R3xsdU+4Fb7eE6kvWjyaDwEVirBBVbTIVNigCC0yVWxQRaQ8UqZBUezRMi1eV7El1LFBUWLr4ttH6sS3iZep4/8DJCKaABiaRygYNJOCcWe7ga5O0xoGoShAfqGK8gobCopUFBQpKChk2KCBCRHpBVZVIBt/2MS+kTB0QFXyUX+8Fe0+He0+A43n4kMQ3B7FCtBFJRoKi1Vottz9QyzbFKFEe5DT9x7rZrBPoPYBWhD+3m4YMgxT6jDNMAypw5RhhMwemIYOw4wsW3VkGIap9+vZHikBEQ/cSnLQjpUlBW2hRcN8pExTnLCrbtgUF2yqJ+W8qtjH5FyJiMYTQ/MgTFOipyshIHdEpoHe5N7jgiIVZdNjAVmFJ1+BwrGlNMHEvpFQ7IDX64SiOQBE7hQRDkt0RAN0u89AW6uOc6ejA+wFkJ+vJPVG5xepUFV+BoZKUxwocMxAQcJFi6P51sWUJsxokDbM6FSGowE7EsBTlcVCuSHDMK1AHq9nmroV0GNluhmCKf1J4T12TN0MQGLgiyoUYUsI027YFQ9samTeprij69yRdSnmNcXJi4+JaNwxNCdobdLRdK4dTQ1+9HSb6Oky4e8xrYu9hALkFyjwlmlWOC4oUuFwsvd4JKSMjIM2oxfRReYleoI6QoYJmzJ2w1No9Gw2AW+5Dd7y+BP3ggHTCtHtPh2N58M4fTJyCzehAAWFalKPdH6BwgsVM0QRChQR/aMniyMspJTQzSDCph9hw49QdJp23vQjZPjRE26xtjFkmqufowSEFbAjoTsytaku2BQP7Korui7dvJvDUIhoUAzNCY58FEBLYzdUDfDkRQLxjFk25BWoKCxSkZevQMmhnjMpJbpCJlp6wmj2h9HSo6PFH0bQkJGL8RAJobFgaka/eu9Xhuh4VwmYCdvIPvWSy1IEXlNGtx/gWIn7SvvOjlpzmiJgVwVsioBNjc0rsKki/lKGXm5XRcI+k8sjx1Cs7bSEcob31BxOBeUVCsorIkFaSolev0S7T0eHz0Cbz8DZUyHUH4vUVzWgsFhFUbGGotJImHZ7FP58JzEhBGyqEzbVCQwwPGUghhmOh+5osI4E7V6EjZ6EeX9k2exFd6jJqhc2ewc9hqY4rABt9W5H5ws6ixEOSmiKEzbFCU1xRetHpprigk11QlMcUIWD/z8TTVIMzQmWrnBh2rRS9PjbcuIfvZBhWkG4uSeMZr+O5p4wWvx6JCj3RAJyIk0RcGgCihBQELntmxL7yj16l4mByhQRG8MYKbPF7r8slKQ6/faByDhuJXr3iIGPFV8nEsui+/B4POjo7EHINBE2ZORlSoQMCd2QyeWGRE/I7F8eq2+mj+bDoSkiZZhODNlWAFcUqEr0rhXR96b2ef/xdYAqRHydkrycuI9++7Lqxtdby8ogy4n105zLSAgh4PYIuD12VESviZNSorvLREe0N7rdZ+DksSDMI5H1NrtI6o0uKlHhdPHbG4pTFRtUJfIQm5EwpQk9GqqTQ3f6Xu+A3omu0HmEDD/09gBMmeY2R30ICGiKM+llU5zQ1D7Ladb3DeWq4uA9v4lyBENzAk+eCrdHg793/AOzKSXaevV4AI72FCdOOwL9L+QpdqrwemyoKnJgeYUHXo8N09w2eD0apnlsKHSoORH4R2Ms755hykhw7humw4aJcLQ8Fq5DhtmnTmwbM7KcuJ8U5f6waZXrpoQhE3rwZXQ5oafeMAfqbc++Us8JzMrXUFXkwOzoa1ahA05teL/AhRDIL1CRX6BiZnXkgi/TlOjqMJKGdtR9rEPKIADA6RIoTLxjRzEvoqWRU4QCu+qBXfXAM4LtvV4vGpsaoJsB6xVONW8kLvdCN4PW1B/2WfNho7ffkygHogo7bGpCr7bitOaTyyLhu38od0V7zj3QeNEl0YgxNI8xKSPhydero61Xt6aRlwFfb6THuNUfht7n2hinpmCaR8M0tw01JY5oGLZZZaVuDTaVwWE4FBHpBbbn6HDF2HAXo0+Y7huuzRT1TBm9/ZwVyhOGwphy4H2m2UfsGIYp0aGrONLYif/3aDtCCd9oTM+L/NFWVRgJ0lWFdlQWOGAbxtAlRREoLNZQWKxh9txIma5LdLbHQ3S7z0Dj2YQ7duSluGOHNrH/QKSJQ1U0qEoeHMgbk/2Z0oRhBhHuE67DZm+f8N1/XjcCCOhd0M3mpCAvh/BnePyiS0/0Vome6EWVnugFmG7rDwy76okOVYnM84JLmuoYmodIysgwAF9Ah8+vpwzFvugrZPT/h8uhChS7NJS4NCzyuuB152Oax4ZpHhu8bg1ejw0eG8d2TjUiOtxCzcH7Zsd6/A1ToqknjPr2IE61B1HfEZnuP9uN2P/qqgAqCuzxIF3kwOxCB8rzbFCHONZD0wRKvBpKvBqsO3aEJDraIgG6zWfA16Lj3KmEO3YURO/YUcw7dtDEoggFiuqCTXWNyf6klDBkKB6yjcTA3YtQbOy30YOQGZ8P6J3oDJ6PDlnpGTB4Ry649KQI3R7YlYT5pHKPNT6cF1vSRJeR0PzjH/8Y7777LgoLC/Hkk09m4pAj8l5DDzrOhXGmpR3tAQPtAR3tvZFpujDs0hSUuDUUuzQsKHVF51UUOyNlJe5IUHZpDMQ0MamKwIx8O2bk27F6Vr5VHjYkznWFUN8ejATqjiCO+QLYfSr+kA67KjCrMBKmY0G6qsgBr1sb0ufBZh/ojh2x+0eHcfpE5Kvu2P3RYz3SLo8Cp1OB0yWgjeHDgohyjRACmnBAUxwARjb2W0oTYTPQJ1z3IBRdDhs9CJkJ84Yf/nAbwmYPQkbPoOO+I/fsTuy9jt3FpH8vd+zWg7F6RLkgI6H5yiuvxDXXXIPt27dn4nAj9sKHrXivwQ8AyHeoKHKqKHTGw3CJS7N6i2PzLhuHS9DUZFOFNdY5UUA3cbojmNAzHcLBBj92nui06rhtSkKvdLyHutA5+D9JA92xIzZG+mx9/I4dMYoKOJ0KHC4Bp0uB0xmZOpLmx/ZJnEQTiRCK9XRLD7zD2jbS0x2Ohume6IWV0fk0vdzdoWaEjJMIm37oZmDgA3w8ijdGE8aSaTfhE2Wbsn0aaWUkNF9wwQVoamrKxKFG5curZmCatwSGvxMa7yVLNCJOTcH8UhfmlyZ/7dwVNHAqOrQj1jO9+1Qn/r+6+OD+Qqdq9UbPjo6briqyw21L/7Vuujt2+LtN9PZKBAMmAr0mAr0SwV4TgUBk7HRzrwk9RcdYUriO9lI7XQocifMM10RJIj3ddmiKHS5b8bC3N6UeubNJml5uh8uGXr9/HM6chsrldo97G0zzLBzX/Y9WTo1p3rFjB3bs2AEAeOyxx+D1Du8v3dHyegFN06DnOQavTONG07SMtz31N9bt4AUwpzK5TEqJVn8Yx1t6cLzVjxOtfhxv7cGfjnegNxwP0+X5DtSUuqMvD2pK3Zhd4oJDG2CM5LTBzykcMuH36+j1G/D36PD36Ojtic77Dfi7dbQ06QiH+j/RTlUFXB4VbrcGt0eFy63B7YnOezS43ZG78dgdIx+axc9CbmA7ZJ+madBT/ZVLGcM2yLHQvGHDBmzYsMFaHqvbjg3HWN7ujEaGbZAbMtkONR6gxuMAqhwAimFKiWbr4sNQ9OJDP9451WbddUYRwPQ8O2YX2eO3xSt0YEa+fcgXH8ZodqDADhRYHWRa9BX5A1rXo73UvRKBaM910JrX0dIUQiBgQk/x4DpFQdIQEKdLRHutE+cFbPb+Pdf8LOQGtkP2sQ2ybzK3QUVFxZDq5VRoJiICIrcKLM+zozzPjk/OjJfrpsT5rlDSXTzq24N4+3S3dc2/pkQuPpxV4IDXE7n+oNStodRts65FGO7wK00T0PJVePIHrmeF64CMDgkxEYzOB3sj96ZubhxauHY4BYqKW+H3B5Cyo1okTUZUljSbcBCRrl6K80h1bollQggoavThR0psXkBVAEUVEAqseauOEnkMO4e/EFEuYWgmogkjEogjD1m5LKE8qJs40xmyLj481RHEoZZe+E73vx+6QGTsdCxMl7hsKHFrKLWWNZS4bci3D39YxbDCdSBhnHVC0A72SnR1RsL1ybqhPwBjMlIUWCG7b+jut06NBHERraeqKer3Defp9pUY7lUgFDRgGpJBnmiKy0ho/sEPfoCPPvoIXV1d+Pu//3t8/vOfx6c+9alMHJqIpgCHpmBuiRNzS5xJ5aaU6Awa1r3VW/06fL3h6DTyRM7DLQF0Bvs/fdOmCCtMF1u91ZGQXZpwO0nHMJ+QCETDdZ4KzyDPySgtLY1/HSqTJtZCvxthpilLmpXJK2SfOunKAEAOs0xKCdOIPh3TRNK8YUhIM/owHgOR9Va9PtPYusR9mYChS4RNwDTMPttHH9xjpn4fwxO984sAVDUynl1Vo0E9Oq+qkaCtaonLIql+cp3ofJ86iftkSCfKLRkJzZs3b87EYYiIkihCoMipocipoWaAemHDtB5O5PPraE2ahnGiLYDaszqCKe7VnmdXUOqyobhfb7WG0mgvdqFDHfY4ayASmKzQlGqYxahNjUAmzehTMa3QnSKApwvnBuB0udHZ0QPDiCwbhuwzHwnvoVAkvMfKzOg01R8VQzKUkK4KqFrqkG4ta8nbqVrCvrR4fQZ0ooFxeAYRTXk2VbHGUKcjpURP2LSCdaTnOt5r7evVcbo9iLaADrNPSFIErHu8x0J1LFCXJPRi8yFI40MoApEvBEb2s/V6i9HS0v/biKGyetKjYTsWspNCtyGtkJ26Tv/6Yx3S+/V8W4E6MZjH1iXWSx3ItWhg77uNwlu60gTF0ExENARCCOTZVeTZVVQVpr8tpWFK6ymi/Xqte3Wc6wzh/UY/elLcxs6picjwj2iYLi/qhB4KQBUCmhJ5qQqi04QyAWiqgCb6lMfqCpGwHgnrk/fBwD4+YmOlYcvMz7dfSNeTw3ZSGNfjoTwW1I2EoB5bH/InB/TYupEQAsmBPE24Tlzn8bSit7d3bH9QNCynXa3wj3MblJbZ4C3L3Wiau2dGRDQBqYpAqduGUrcNKE1fL6ibCeOsI73WicuHWnrxzrke6IYJ3ZT9eq/H5dxFcqBWFQGbEnlPqhCwqZGpGu25TaorBGzRoB7ZLlJuVwUcqgK7JuDUFDhUAYemwKEqcGix+eg0YZ4PmBq5TIV0KeNj02Ph2rSCd3K47hvCjYR6ZkKYD4ciF8T23UbK4Li+FxqK8W+DhUIwNBMRUTKHpmBGvh0z8tMPCUm8L6opJQxTQjcRnUro0bJwdMxufD6y3pCAbsTr6bFyEwnzkfUpy00JQ0roBlLsQyKoS/SYZqRO0naw5kNG5JyGSxVIDtQpQ7aIliuwq9FQnlAW3zYhlFvrI8GevesjJ0S8Rxjp/zceE5P5HsETBduAoZmIaEJQRORCrwGeKJ6zYuE5aJgI6iaChoxM9ejUiM73naZap5toC5sI6uHkfaW4SHMwAkgK0UnhPGGa526DHg5aPetatKc9NrzFlmK4S2JP/EAvVYncqUWL9uLH9kNEuYehmYiIxpWqCLgUAZdt+LfnGyopY8E8FsiTA3W/Mj1FiE+YdoUMtPgj8yYCCIWNSI+8Ee/FHy+KQHwcuyqgxYbNqPFhMn3HpdsSQnyql0BkLLEiBBQROYYQAgoiZUJExxrH5pFYV0S3jc732Zc1jxR1o/tSE46RtF/0qRs7hz7HQE8Ivt6p/QjnrMtAGzg1AXcO9wwwNBMR0YQnhIj2FgNwjO0v3VRfS0uZPAxF7zM0Jr4cH/KS7hWr03f7/q/k4TNhMxLiew0TXWZ8GI0eLU+clwBMGR2HnOpe3jnvWLZPgDLg1qVefOFCb7ZPIy2GZiIiomESIjJUxqZOzKEUUvYP0pEwHb1fNRLLo3XN6HqZsB0id+uI7cuUErLv+oSypHnE5vusT7EvT54H3d3dWfyJUV5e3ri3wbwS17juf7QYmomIiKYYkTA0YiI85IYXoWUf2wAYvwFmRERERESTBEMzEREREdEgGJqJiIiIiAbB0ExERERENAiGZiIiIiKiQTA0ExERERENgqGZiIiIiGgQvE9zAkXvAAISSrgj8vxOKJBCAaBCChUQKiD4dwYRERHRVMPQnKCg8QUoJ49hoAc4SghAaFaIlohOhRadJsxDTa4rtMhLcSS8nJCKA2bfMuGAVOwM6UREREQ5gKE5QU/xFdAq1qG7qxOQJgRMQJoATAhpAFKPTo34MmLLemSbhDqKDCTUiZQLU4eQwUj9ITCFPSFc2/uHbBEP3snh256wPhbA1fH9ARIRERFNUgzNCcLu+YDXi4DIwGMipQ5hBiHMIJToVJgBCDMUn5eJ6+LrlbAPWmI5jKEdMtbLLRwwY6HaCt+Jy3YrbJtpArhUHAzhRDT+pASsDgwJEe3ISO7YkJHOCsiEdRKIlqXbJr4sARgQUqauF3bD1d0dO6HoQ6dldB+x+YSyWD3Zvyz+nuLLwtpXn3qJU5lYt++6xOMk1Et3brJPvTT7gJR9jtd/+8jPo++59z9vq16K8tgr5c8r9r7rFZSaJih7MtEG/uK16C26fFyPMRoMzdkiNEhVg1Q9GPX/glKHMAN9AnYwHsBl8rIiE+YNP0S4PaFOMOEftkEOKzRrGElSwBaperuTQ7kpHMkhXXEAgv87Eo0bKxgmfmumJ3w7llwW+wYtcT5lGVLV6/OtXFKQjX17FwuyMulbveQgaw7536Nx1QLkj2LzWMxG36kQ1nxSHdG3rkgql4PsK3EqRZ99pDxuun3Ey5PqQSQMHYyuE4BMuX3ieSduP9BxgPh9CiLbO50uhAIBUPY4nc5xbwPDVjqu+x8tppTJQGiQah4MNW/0+5LS6gVX+oTteAAPJYdzGbICu2L0QsiO5OA+xD8LJFRIxQ5xyjXAX7MiTXk6qevLtLsZ7v4H2ybVL/x4mZAD1Rt8+3jREOslHjtVvYRZcVLAKyWSf0kn/nJN3EtkXfwXdGL9/iHA2l/K/cTXpQwbabaRadfFy/vtL23QSPELPcX+0x8zsX6KkDPUn1/ADU9PZ59wmxhMU5UlzCcODRvikLChkki8liM+TS7TYCoOAAogFEgoSL7IWomGL5G0LBPK+9aVVmBLLE9Vb/jHkkIFkvYf2b601IvWVl/S/8f9w2bf9oxOrXU0Gg6vF10tGfgWmNJiGzA0U19CAMIGqdhgYAxDeDRsK33CdqpecZdNIBQMptrZ8N5KuvppdzOSHq2hbJPul6bot1oOVncY+0pdN80fESnKXU4ngoFeq4Y1HfSr4KF+FZ2+fsqvoGP7kmZSWeyrYWGVpT6+6Lsu1dfRQ/5KPeF4EgCSzylx//3ei+y/77T/r/oANwTiFxRrCRcbJ5RBhak4+9RLvgg5fVnf+n3L4hc5x8oAdWqFQc0NqfqzfRZElGUMzTS+YiEcNkgVQ+pzdvKv2ZzAdsiwFGHa6/WipbUta6dERERxDM1ERLkgaahIrIwX2xIR5QreBJiIiIiIaBAMzUREREREg2BoJiIiIiIaBEMzEREREdEgGJqJiIiIiAbB0ExERERENAiGZiIiIiKiQTA0ExERERENgqGZiIiIiGgQDM1ERERERIPI2GO0Dxw4gOeeew6maeKqq67Cpk2bMnVoIiIiIqJRyUhPs2maeOaZZ/DNb34TTz31FHbv3o0zZ85k4tBERERERKOWkdBcV1eH6dOno7y8HJqmYc2aNXjnnXcycWgiIiIiolHLyPAMn8+H0tJSa7m0tBRHjx7NxKGHxfy/P4Ov4QyMcDjbpzKl+Ww2tkEOYDtkH9sgN7Adso9tkH2ZaAMxaw6U/33nuB5jNDI2pnkoduzYgR07dgAAHnvsMXi93owev8vlgi4EbDZbRo9LyQTbICewHbKPbZAb2A7ZxzbIvky0gc3lQn6Gs99wZCQ0l5SUoLW11VpubW1FSUlJv3obNmzAhg0brOWWlpZMnF7cZ/8PvF5v5o9LSdgGuYHtkH1sg9zAdsg+tkH2ZaINggCCWWjnioqKIdXLyJjmuXPn4vz582hqaoKu69izZw9WrFiRiUMTEREREY1aRnqaVVXFF7/4RTz66KMwTRPr16/HrFmzMnFoIiIiIqJRy9iY5ksuuQSXXHJJpg5HRERERDRm+ERAIiIiIqJBMDQTEREREQ2CoZmIiIiIaBAMzUREREREg2BoJiIiIiIaBEMzEREREdEgGJqJiIiIiAbB0ExERERENAiGZiIiIiKiQTA0ExERERENgqGZiIiIiGgQDM1ERERERIMQUkqZ7ZMgIiIiIspl7Gnu4/7778/2KUx5bIPcwHbIPrZBbmA7ZB/bIPvYBgzNRERERESDYmgmIiIiIhqEum3btm3ZPolcU1NTk+1TmPLYBrmB7ZB9bIPcwHbIPrZB9k31NuCFgEREREREg+DwDCIiIiKiQTA0ExERERENQsv2CYy3lpYWbN++He3t7RBCYMOGDbjuuuvQ3d2Np556Cs3NzZg2bRq++tWvIi8vD1JKPPfcc/jLX/4Ch8OBe+65xxrD8/rrr+N3v/sdAODGG2/ElVdemcV3NrEMtx3+/Oc/4/e//z2klHC5XPjSl76E6upqAMCBAwfw3HPPwTRNXHXVVdi0aVN239wEMdw2iKmrq8OWLVuwefNmrF69GgA/CyM1kjb48MMP8fOf/xyGYSA/Px8PPfQQAH4ORmO47eD3+/Gv//qvaG1thWEY+Ku/+iusX78eAD8LI5WuDd566y288MILOHv2LL7zne9g7ty51jYvvvgiXnvtNSiKgjvuuAPLli0DwM/CSA23Dd577z38+te/hq7r0DQNt912G5YsWQIAOH78OLZv345QKISLL74Yd9xxB4QQ2Xx740NOcj6fTx47dkxKKaXf75df+cpX5OnTp+Xzzz8vX3zxRSmllC+++KJ8/vnnpZRS7t+/Xz766KPSNE15+PBh+Y1vfENKKWVXV5e89957ZVdXV9I8Dc1w2+HQoUPWz/fdd9+12sEwDHnffffJhoYGGQ6H5de+9jV5+vTpLLyjiWe4bSBl5Oe9bds2+Z3vfEe+9dZbUkp+FkZjuG3Q3d0tN2/eLJubm6WUUra3t0sp+TkYreG2w29/+1trvqOjQ95+++0yHA7zszAK6drg9OnT8uzZs3Lr1q2yrq7Oqn/69Gn5ta99TYZCIdnY2Cjvu+8+aRgGPwujMNw2OH78uGxtbZVSSllfXy/vuusua939998vDx8+LE3TlI8++qh89913M/tmMmTSD88oLi62eopdLhcqKyvh8/nwzjvv4IorrgAAXHHFFXjnnXcAALW1tVi3bh2EEFiwYAF6enrQ1taGAwcOYOnSpcjLy0NeXh6WLl2KAwcOZO19TTTDbYeFCxdaPW3z589Ha2srgEiv5/Tp01FeXg5N07BmzRprGxrYcNsAAF555RWsWrUKBQUFVhk/CyM33DbYtWsXVq1aBa/XCwAoLCwEwM/BaA23HYQQCAQCkFIiEAggLy8PiqLwszAK6dpg5syZqKio6Ff/nXfewZo1a2Cz2VBWVobp06ejrq6On4VRGG4bzJkzByUlJQCAWbNmIRQKIRwOo62tDb29vViwYAGEEFi3bt2kbYNJH5oTNTU14cSZ/d01AAAGq0lEQVSJE5g3bx46OjpQXFwMACgqKkJHRwcAwOfzWb+gAKC0tBQ+nw8+nw+lpaVWeUlJCXw+X2bfwCQxlHZI9Nprr+Hiiy8GgH7tEGsfGp6hfhb27duHq6++OmlbfhbGxlDa4Pz58+ju7sa2bdvw9a9/HW+88QYAfg7G0lDa4ZprrsHZs2dx991345/+6Z9wxx13QFEUfhbGSGIbpJPuZ83PwtgYShsk2rt3L2pqamCz2aZUG0z6Mc0xgUAATz75JG6//Xa43e6kdUKIyTn2JgcNtx0++OAD7Ny5Ew8//HAmT3NSG2ob/PznP8df//VfQ1Gm1N/WGTHUNjAMAydOnMADDzyAUCiELVu2YP78+dk45UlpqO1w8OBBzJ49Gw8++CAaGxvx7W9/G4sWLcrGKU86A7UBZcZw2+D06dP49a9/jW9961sZOLvcMiVCs67rePLJJ7F27VqsWrUKQORrzra2NhQXF6Otrc36+rmkpAQtLS3Wtq2trSgpKUFJSQk++ugjq9zn8+GCCy7I7BuZ4IbTDgBQX1+Pp59+Gt/4xjeQn58PINI+saEaQLx9aGiG0wbHjh3Dv/zLvwAAOjs78Ze//AWKovCzMErDaYPS0lLk5+fD6XTC6XRi8eLFqK+vR2lpKT8HozScdti5cyc2bdoEIQSmT5+OsrIynDt3jp+FUUrVBun0/bff5/NZ/8/zszByw2kDIPLzfeKJJ3Dvvfdi+vTpAKbW7+VJ34UkpcRPfvITVFZW4vrrr7fKV6xYYX3V+cYbb2DlypVW+ZtvvgkpJY4cOQK3243i4mIsW7YMBw8eRHd3N7q7u3Hw4EHryl0a3HDboaWlBU888QTuu+++pLFVc+fOxfnz59HU1ARd17Fnzx6sWLEis29mghpuG2zfvt16rV69Gl/60pfwyU9+kp+FURjJv0eHDh2CYRgIBoOoq6tDZWUlPwejNNx28Hq9eP/99wEA7e3tOHfuHMrKyvhZGIV0bZDOihUrsGfPHoTDYTQ1NeH8+fOYN28ePwujMNw26OnpwWOPPYZbb7016ZuW4uJiuFwuHDlyBFJKvPnmm5O2DSb9EwEPHTqEBx98EFVVVdZXbbfccgvmz5+Pp556Ci0tLf1uOffMM8/g4MGDsNvtuOeee6zbrbz22mt48cUXAURuLRS75RANbrjt8JOf/AR79+61xperqorHHnsMAPDuu+/iF7/4BUzTxPr163HjjTdm7X1NJMNtg0Tbt2/H8uXLrVvO8bMwMiNpg5dffhk7d+6Eoij41Kc+hc985jMA+DkYjeG2g8/nw49//GO0tbUBAD772c9i3bp1APhZGKl0baDrOp599ll0dnbC4/GgurraGgbwu9/9zvos3H777da1LvwsjMxw2+C3v/0tXnrpJauHGQC2bNmCwsJCHDt2DD/+8Y8RCoWwbNkyfPGLX5yUw14nfWgmIiIiIhqtST88g4iIiIhotBiaiYiIiIgGwdBMRERERDQIhmYiIiIiokEwNBMRERERDYKhmYhoAmhpacFtt90G0zSzfSpERFMSbzlHRJSj7r33Xtx9991YunRptk+FiGjKY08zEREREdEg2NNMRJSDfvjDH2LXrl3QNA2KouDmm2/Gr3/9a/znf/4nVFXFtm3bsGjRInzwwQeor6/HJz7xCdx777147rnnsH//flRUVOCrX/0qysrKAABnz57Fs88+i+PHj6OgoABf+MIXsGbNmiy/SyKiiYM9zUREOejLX/4yvF4vvv71r+P555/HpZde2q/O7t27cd999+Hpp59GY2MjtmzZgiuvvBLPPvssKisr8Zvf/AYAEAgE8Mgjj+Dyyy/Hv//7v2Pz5s145plncObMmUy/LSKiCYuhmYhoglq/fj2mT58Ot9uNiy++GOXl5Vi6dClUVcXq1atx4sQJAMC7776LadOmYf369VBVFXPmzMGqVavw1ltvZfkdEBFNHFq2T4CIiEamsLDQmrfb7f2WA4EAAKC5uRlHjx7F7bffbq03DAPr1q3L2LkSEU10DM1ERJNcaWkpLrjgAjzwwAPZPhUiogmLwzOIiHJUUVERmpqaRr2f5cv//3bu4IRBIAjD6H+1CotII2IDNmItwoKVWId3m1jQEoaEHEJ4r4Bljh/LMK9c15XjONJ7T+8953naaQZ4g59mgB81TVO2bcu+75nn+eN3hmHIuq5praW1lvu+M45jlmX54rQA/83JOQAAKFjPAACAgmgGAICCaAYAgIJoBgCAgmgGAICCaAYAgIJoBgCAgmgGAIDCAzju4scWQpnfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "categories_to_plot = [\n",
    "    \"Emissions|\" + v\n",
    "    for v in [\n",
    "        \"CO2|MAGICC Fossil and Industrial\",\n",
    "        \"CO2|MAGICC AFOLU\",\n",
    "        \"CH4\",\n",
    "        \"N2O\",\n",
    "    ]\n",
    "]\n",
    "for g in rcp26.filter(\n",
    "    variable=categories_to_plot, year=range(1000, 2150)\n",
    ").groupby(\"variable\"):\n",
    "    plt.figure(figsize=(12, 7))\n",
    "    g.lineplot(hue=\"region\").set_title(g.get_unique_meta(\"variable\", True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fossil fuel emissions for the four RCP scenarios."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcps.filter(\n",
    "    variable=\"Emissions|CO2|MAGICC Fossil and Industrial\", region=\"World\"\n",
    ").lineplot(x=\"time\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running MAGICC\n",
    "\n",
    "A single `pymagicc` run takes under a second and returns the same object as used above. If not on Windows, the very first run might be slower due to setting up Wine. Multiple runs can be faster as setup times are reduced and other options speed things up even further e.g. limiting output to the subset of interest, using binary output formats."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 503 ms, sys: 50.5 ms, total: 554 ms\n",
      "Wall time: 589 ms\n"
     ]
    }
   ],
   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "%time results = pymagicc.run(rcp26)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def multiple_runs():\n",
    "    with MAGICC6() as magicc:\n",
    "        for name, sdf in rcps.timeseries().groupby([\"scenario\"]):\n",
    "            results = magicc.run(MAGICCData(sdf.copy()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 266 ms, sys: 18.1 ms, total: 284 ms\n",
      "Wall time: 375 ms\n"
     ]
    }
   ],
   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "%time multiple_runs()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(16, 9))\n",
    "with MAGICC6() as magicc:\n",
    "    for name, sdf in rcps.timeseries().groupby([\"scenario\"]):\n",
    "        results = magicc.run(MAGICCData(sdf.copy()))\n",
    "        results.filter(\n",
    "            variable=\"Surface Temperature\", region=\"World\"\n",
    "        ).lineplot(ax=ax, x=\"time\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The default parameters are the ones that were used to produce the RCP GHG concentrations (see also http://live.magicc.org/). Of course it's easy to change them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "low = pymagicc.run(rcp45, core_climatesensitivity=1.5)\n",
    "default = pymagicc.run(rcp45, core_climatesensitivity=3)\n",
    "high = pymagicc.run(rcp45, core_climatesensitivity=4.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtering = {\n",
    "    \"variable\": \"Surface Temperature\",\n",
    "    \"region\": \"World\",\n",
    "    \"year\": range(1850, 2101),\n",
    "}\n",
    "\n",
    "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(16, 9))\n",
    "default.filter(**filtering).line_plot(x=\"time\", ax=ax)\n",
    "plt.fill_between(\n",
    "    low.filter(**filtering)[\"time\"].values,\n",
    "    low.filter(**filtering).timeseries().values.squeeze(),\n",
    "    high.filter(**filtering).timeseries().values.squeeze(),\n",
    "    color=\"lightgray\",\n",
    ")\n",
    "\n",
    "plt.title(\n",
    "    \"RCP 4.5 with equilibrium climate sensitivity set to 1.5, 3, and 4.5\"\n",
    ")\n",
    "plt.ylabel(\"°C\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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