Healthcare system model.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Healthcare System Model\n",
    "\n",
    "This notebook provides a front-end to an example healthcare model, implemented using Python, Pandas and Dask. The model comprises:\n",
    "\n",
    "+ Importing historic activity data, population growth forecasts and assumptions.\n",
    "\n",
    "+ Forecasting future activity based upon historic activity and population growth.\n",
    "\n",
    "+ Transforming the business model by moving activity from acute hospitals into the community."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explore input data\n",
    "\n",
    "Historical data and assumptions are contained within text files (CSV) in the Import_data directory. It is also possible to import data from other sources that are supported by Pandas, such as databases. To view the data, an instance of the class containing the data needs to be created, this will then create the execution graph based upon that nodes precedents. Creating an instance of the class does not load the data, to do that the `compute()` method on the data attribute must be called. The table below shows the annual change in population by age band for each of the forecast year (rounded to three decimal places)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age_band</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "      <th>2023</th>\n",
       "      <th>2024</th>\n",
       "      <th>2025</th>\n",
       "      <th>2026</th>\n",
       "      <th>2027</th>\n",
       "      <th>2028</th>\n",
       "      <th>2029</th>\n",
       "      <th>2030</th>\n",
       "      <th>2031</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A.000-004</td>\n",
       "      <td>-0.003</td>\n",
       "      <td>-0.008</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.001</td>\n",
       "      <td>-0.001</td>\n",
       "      <td>-0.010</td>\n",
       "      <td>-0.008</td>\n",
       "      <td>-0.006</td>\n",
       "      <td>-0.005</td>\n",
       "      <td>-0.004</td>\n",
       "      <td>-0.003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B.005-009</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.011</td>\n",
       "      <td>0.011</td>\n",
       "      <td>-0.025</td>\n",
       "      <td>-0.019</td>\n",
       "      <td>-0.012</td>\n",
       "      <td>-0.010</td>\n",
       "      <td>-0.010</td>\n",
       "      <td>-0.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C.010-014</td>\n",
       "      <td>0.024</td>\n",
       "      <td>0.018</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.017</td>\n",
       "      <td>0.017</td>\n",
       "      <td>-0.009</td>\n",
       "      <td>-0.023</td>\n",
       "      <td>-0.019</td>\n",
       "      <td>-0.021</td>\n",
       "      <td>-0.019</td>\n",
       "      <td>-0.023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>D.015-019</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.036</td>\n",
       "      <td>-0.001</td>\n",
       "      <td>-0.001</td>\n",
       "      <td>0.024</td>\n",
       "      <td>0.021</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.002</td>\n",
       "      <td>-0.004</td>\n",
       "      <td>-0.008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>E.020-024</td>\n",
       "      <td>-0.019</td>\n",
       "      <td>-0.024</td>\n",
       "      <td>-0.010</td>\n",
       "      <td>-0.009</td>\n",
       "      <td>-0.009</td>\n",
       "      <td>0.017</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.033</td>\n",
       "      <td>0.023</td>\n",
       "      <td>0.023</td>\n",
       "      <td>0.021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    age_band   2021   2022   2023   2024   2025   2026   2027   2028   2029  \\\n",
       "0  A.000-004 -0.003 -0.008  0.000 -0.001 -0.001 -0.010 -0.008 -0.006 -0.005   \n",
       "1  B.005-009  0.002  0.000  0.002  0.011  0.011 -0.025 -0.019 -0.012 -0.010   \n",
       "2  C.010-014  0.024  0.018  0.005  0.017  0.017 -0.009 -0.023 -0.019 -0.021   \n",
       "3  D.015-019  0.010  0.032  0.036 -0.001 -0.001  0.024  0.021  0.001  0.002   \n",
       "4  E.020-024 -0.019 -0.024 -0.010 -0.009 -0.009  0.017  0.030  0.033  0.023   \n",
       "\n",
       "    2030   2031  \n",
       "0 -0.004 -0.003  \n",
       "1 -0.010 -0.009  \n",
       "2 -0.019 -0.023  \n",
       "3 -0.004 -0.008  \n",
       "4  0.023  0.021  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask_modelling_example import population_data\n",
    "population_data().data.compute().head().round(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If the docstring is available, then a description of the data can also be printed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Forecast for the annual rate of population growth by five year age band.\n",
      "\n",
      "    Population forecasts are mid-year estimates by 5-year age band (up to 85+).\n",
      "\n",
      "    Inherits from base class loader\n",
      "\n",
      "    Attributes:\n",
      "        data (pd.DataFrame): Forecast of population by locality, age and service line.\n",
      "    \n"
     ]
    }
   ],
   "source": [
    "print(population_data().__doc__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The historic activity for acute hospitals and community can also be printed and plotted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>domain</th>\n",
       "      <th>hospital_name</th>\n",
       "      <th>region</th>\n",
       "      <th>service_line</th>\n",
       "      <th>sex</th>\n",
       "      <th>age_band</th>\n",
       "      <th>year</th>\n",
       "      <th>activity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>acute</td>\n",
       "      <td>Hospital one</td>\n",
       "      <td>North</td>\n",
       "      <td>Cardiology</td>\n",
       "      <td>Female</td>\n",
       "      <td>A.000-004</td>\n",
       "      <td>2020</td>\n",
       "      <td>43807.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>acute</td>\n",
       "      <td>Hospital one</td>\n",
       "      <td>North</td>\n",
       "      <td>Cardiology</td>\n",
       "      <td>Female</td>\n",
       "      <td>B.005-009</td>\n",
       "      <td>2020</td>\n",
       "      <td>26608.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>acute</td>\n",
       "      <td>Hospital one</td>\n",
       "      <td>North</td>\n",
       "      <td>Cardiology</td>\n",
       "      <td>Female</td>\n",
       "      <td>C.010-014</td>\n",
       "      <td>2020</td>\n",
       "      <td>33975.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>acute</td>\n",
       "      <td>Hospital one</td>\n",
       "      <td>North</td>\n",
       "      <td>Cardiology</td>\n",
       "      <td>Female</td>\n",
       "      <td>D.015-019</td>\n",
       "      <td>2020</td>\n",
       "      <td>33956.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>acute</td>\n",
       "      <td>Hospital one</td>\n",
       "      <td>North</td>\n",
       "      <td>Cardiology</td>\n",
       "      <td>Female</td>\n",
       "      <td>E.020-024</td>\n",
       "      <td>2020</td>\n",
       "      <td>32340.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  domain hospital_name region service_line     sex   age_band  year  activity\n",
       "0  acute  Hospital one  North   Cardiology  Female  A.000-004  2020   43807.0\n",
       "1  acute  Hospital one  North   Cardiology  Female  B.005-009  2020   26608.0\n",
       "2  acute  Hospital one  North   Cardiology  Female  C.010-014  2020   33975.0\n",
       "3  acute  Hospital one  North   Cardiology  Female  D.015-019  2020   33956.0\n",
       "4  acute  Hospital one  North   Cardiology  Female  E.020-024  2020   32340.0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask_modelling_example import acute_forecast, community_forecast\n",
    "acute_forecast().data.compute().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>domain</th>\n",
       "      <th>hospital_name</th>\n",
       "      <th>region</th>\n",
       "      <th>service_line</th>\n",
       "      <th>sex</th>\n",
       "      <th>age_band</th>\n",
       "      <th>year</th>\n",
       "      <th>activity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>community</td>\n",
       "      <td>Hospital one</td>\n",
       "      <td>North</td>\n",
       "      <td>Cardiology</td>\n",
       "      <td>Female</td>\n",
       "      <td>A.000-004</td>\n",
       "      <td>2020</td>\n",
       "      <td>219034.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>community</td>\n",
       "      <td>Hospital one</td>\n",
       "      <td>North</td>\n",
       "      <td>Cardiology</td>\n",
       "      <td>Female</td>\n",
       "      <td>B.005-009</td>\n",
       "      <td>2020</td>\n",
       "      <td>133041.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>community</td>\n",
       "      <td>Hospital one</td>\n",
       "      <td>North</td>\n",
       "      <td>Cardiology</td>\n",
       "      <td>Female</td>\n",
       "      <td>C.010-014</td>\n",
       "      <td>2020</td>\n",
       "      <td>169877.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>community</td>\n",
       "      <td>Hospital one</td>\n",
       "      <td>North</td>\n",
       "      <td>Cardiology</td>\n",
       "      <td>Female</td>\n",
       "      <td>D.015-019</td>\n",
       "      <td>2020</td>\n",
       "      <td>169779.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>community</td>\n",
       "      <td>Hospital one</td>\n",
       "      <td>North</td>\n",
       "      <td>Cardiology</td>\n",
       "      <td>Female</td>\n",
       "      <td>E.020-024</td>\n",
       "      <td>2020</td>\n",
       "      <td>161700.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      domain hospital_name region service_line     sex   age_band  year  \\\n",
       "0  community  Hospital one  North   Cardiology  Female  A.000-004  2020   \n",
       "1  community  Hospital one  North   Cardiology  Female  B.005-009  2020   \n",
       "2  community  Hospital one  North   Cardiology  Female  C.010-014  2020   \n",
       "3  community  Hospital one  North   Cardiology  Female  D.015-019  2020   \n",
       "4  community  Hospital one  North   Cardiology  Female  E.020-024  2020   \n",
       "\n",
       "   activity  \n",
       "0  219034.0  \n",
       "1  133041.0  \n",
       "2  169877.0  \n",
       "3  169779.0  \n",
       "4  161700.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cf = community_forecast().data.compute()\n",
    "cf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
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           "bgcolor": "#E5ECF6",
           "caxis": {
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            "linecolor": "white",
            "ticks": ""
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          },
          "title": {
           "x": 0.05
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          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
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          "yaxis": {
           "automargin": true,
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        "title": {
         "text": "Total annual activity by service line"
        },
        "width": 1280,
        "xaxis": {
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         "anchor": "x",
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          0,
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          "text": "activity"
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     "metadata": {},
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   ],
   "source": [
    "px.bar(\n",
    "    cf.groupby([\"year\", \"service_line\"], as_index=False).agg({\"activity\":\"sum\"}),\n",
    "    x=\"year\",\n",
    "    y=\"activity\",\n",
    "    color=\"service_line\",\n",
    "    height=720,\n",
    "    width=1280,\n",
    "    title=\"Total annual activity by service line\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Results of the model\n",
    "\n",
    "The results of the model are obtained by computing the final node in the execution graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hospital_name</th>\n",
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       "      <th>acute_activity</th>\n",
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       "      <th>revised_community_activity</th>\n",
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       "  </thead>\n",
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       "      <td>26608.0</td>\n",
       "      <td>133041.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "  hospital_name region service_line     sex   age_band  year  acute_activity  \\\n",
       "0  Hospital one  North   Cardiology  Female  A.000-004  2020         43807.0   \n",
       "1  Hospital one  North   Cardiology  Female  B.005-009  2020         26608.0   \n",
       "2  Hospital one  North   Cardiology  Female  C.010-014  2020         33975.0   \n",
       "3  Hospital one  North   Cardiology  Female  D.015-019  2020         33956.0   \n",
       "4  Hospital one  North   Cardiology  Female  E.020-024  2020         32340.0   \n",
       "\n",
       "   community_activity  activity_shift_to_community  revised_acute_activity  \\\n",
       "0            219034.0                          0.0                 43807.0   \n",
       "1            133041.0                          0.0                 26608.0   \n",
       "2            169877.0                          0.0                 33975.0   \n",
       "3            169779.0                          0.0                 33956.0   \n",
       "4            161700.0                          0.0                 32340.0   \n",
       "\n",
       "   revised_community_activity  \n",
       "0                    219034.0  \n",
       "1                    133041.0  \n",
       "2                    169877.0  \n",
       "3                    169779.0  \n",
       "4                    161700.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "from dask_modelling_example import business_transform\n",
    "bt = business_transform().data.compute()\n",
    "bt.head().round(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "px.line(\n",
    "    bt.groupby([\"year\"], as_index=False).sum(),\n",
    "    x=\"year\",\n",
    "    y=[\"acute_activity\", \"community_activity\", \"revised_acute_activity\", \"revised_community_activity\"],\n",
    "    height=720,\n",
    "    width=1280,\n",
    "    labels={\"value\":\"Total Annual Activity\", \"year\": \"Year\"},\n",
    "    title=\"Impact on annual activity of moving activity into the community\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualising results\n",
    "\n",
    "Executing `visualize()` method on the final node provides a visualisation of the execution graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0a9cu00kArABjDABQ7O3atUsdOnRQkyZNtHr1apUvX950EnAHFxcXrVixQq1bt5afn5+2bdtmOgmAYYwxAECxFhcXp06dOqldu3Zavny5XFxcTCcB2XJ2dta3336rwMBABQQEaPv27aaTABjE1RQBAMXWgQMH1L59+6xLhzs68vKZKB4yMjL07LPPKiIiQhs2bJCPj4/pJAAGMMYAAMXS0aNH1aFDBzVu3Fjff/+9SpUqZToJyJUbN24oODhYMTEx2rRpk+rVq2c6CUARY4wBAIqd5ORkdejQQZ6engoPD+fURBRb6enpCgoK0r59+7Rx40auAArYGMYYAKBYSU1NVevWrVWxYkVFRkaqQoUKppOAfElLS1NgYKB+/fVXxcTEyM3NzXQSgCLCGAMAFBvp6ekKDAxUSkqKNm7cqEqVKplOAgpEamqqHnvsMTk7Oys6OpqjvYCN4GqKAIBiwWKxaPDgwTp06JBWrVrFEEOJUrFiRa1YsUInTpxQ//79xb+VA7aBMQYAKBbeeustLVu2TEuWLJGHh4fpHKDAeXh4aNWqVdqwYYPeeust0zkAigDXAAYAWL25c+fqww8/1NKlS9WqVSvTOUCh8fHx0dKlSxUYGChPT0+NHDnSdBKAQsRzxgAAVu2nn36Sr6+vpkyZwjemsBkzZ87Uiy++qKioKPn6+prOAVBIGGMAAKuVkpKi5s2bq0uXLpo5c6bpHKBIjRo1SmFhYdq5c6fc3d1N5wAoBIwxAIBVysjIkL+/vy5evKjNmzfzos6wOenp6erUqZMkKSoqij8DQAnEBTwAAFZpzJgxiouL05IlS/gmFDapVKlSCgsL05EjR/TGG2+YzgFQCBhjAACr891332nKlCkKDQ1VzZo1TecAxri7uyssLExffPGFFi1aZDoHQAHjNEUAgFU5efKkfHx89Prrr2vMmDGmcwCrMGXKFL3zzjuKjY1VrVq1TOcAKCCMMQCA1bBYLPL399eNGze0bt062dtzAgcg/e/PRrdu3ZSWlqaoqCg5ODiYTgJQAPhbDgBgNT7++GPt3LlTc+fOZYgBf2JnZ6fZs2dr//79ev/9903nACggHBkDAFiFuLg4tWrVSvPnz9fTTz9tOgewSitXrtRTTz2lzZs3q2XLlqZzAOQTYwwAYNz169fVvHlztWjRQrNnzzadA1i1F154QevXr9euXbtUunRp0zkA8oFzQAAAxn3wwQf6/fffNXXqVNMpgNWbPHmyMjIyNH78eNMpAPKJI2MAAKMOHDigZs2a6fvvv5e/v7/pHKBY2LBhg/z9/fXTTz+pSZMmpnMA5BFjDABgjMViUfv27eXt7a25c+eazgGKleHDh2v37t2KiYnh6opAMcVpigAAY6ZPn66DBw/qo48+Mp0CFDsTJ05UcnKypk2bZjoFQB5xZAwAYMSpU6dUv359ffHFF+rXr5/pHKBYWrJkiZ577jkdOHBANWrUMJ0DIJcYYwAAI4YNG6akpCStWbPGdApQrD3xxBNydXXVnDlzTKcAyCXGGACgyO3atUutW7fWzz//rEaNGpnOAYq1w4cPq3Hjxvrhhx/UunVr0zkAcoExBgAocu3bt1fTpk15rgtQQF5//XVt2bJFMTExsrOzM50DIIe4gAcAoEgtXrxY+/bt07///W/TKUCJ8fbbb+vIkSOaP3++6RQAucAYAwAUmatXr+rNN9/UP//5T7m6uprOAUqMihUr6r333tPYsWN1+fJl0zkAcogxBgAoMtOnT5ednZ1GjBhhOgUocZ5//nmVLVtWU6dONZ0CIId4zhgAoEhcvnxZderU0YQJE/T888+bzgFKpNDQUP3tb3/TsWPHVKFCBdM5AO6DI2MAgCLx6aefqkKFCho4cKDpFKDE6tOnj9zd3fXxxx+bTgGQAxwZAwAUuosXL8rb21tTp07VM888YzoHKNGWLFmiIUOG6NixY6pcubLpHAD3wJExAECh++STT+Tu7q5+/fqZTgFKvF69esnb21uTJk0ynQLgPjgyBgAoVJcuXVLNmjX1+eefM8aAIrJ06VINGjRIx48fV6VKlUznAMgGR8YAAIXqq6++UoUKFRQcHGw6BbAZTz75pKpVq6aZM2eaTgFwD4wxAEChuXHjhiZPnqyXXnpJjo6OpnMAm2Fvb6+XX35ZH330kdLT003nAMgGYwwAUGiWLl2q1NRUDRs2zHQKYHOGDBmi69eva9GiRaZTAGSDMQYAKDQff/yxhg4dqooVK5pOAWyOi4uLRowYoY8++khcIgCwTlzAAwBQKDZv3qyOHTvqyJEj8vT0NJ0D2KSTJ0/Ky8tLK1asUJcuXUznALgNYwwAUCgGDBigixcvavny5aZTAJvWp08fZWRk6NtvvzWdAuA2nKYIAChwv/32m5YuXarhw4ebTgFs3rBhw7RixQqdOXPGdAqA2zDGAAAFbt68eXJ1dVVAQIDpFMDm+fn5qUaNGpozZ47pFAC3YYwBAArczJkz9fzzz3M5e8AK2Nvba8iQIZo5cyYX8gCsDM8ZAwAUqK1bt8rX11dHjx5VrVq1TOcAkHTixAl5eXlp3bp16tChg+kcAH/gyBgAoEDNmTNHHTt2ZIgBVqRGjRrq3LkzpyoCVoYxBgAoMDdu3NCSJUvUp08f0ykAbtOnTx8tW7ZM6enpplMA/IExBgAoMNHR0bpw4YJ69uxpOgXAbZ588klduXJFkZGRplMA/IExBgAoMGFhYfLz81PVqlVNpwC4TaVKldSlSxd98803plMA/IExBgAoENevX9eyZcs4RRGwYn369NHy5ct19epV0ykAxBgDABSQtWvX6vfff+cURcCKde/eXenp6Vq9erXpFABijAEACsjKlSvl6+urypUrm04BkI3y5curY8eOWr58uekUAGKMAQAKSHh4uAIDA01nALiPgIAARUZG8gLQgBVgjAEA8u3AgQNKSkpSQECA6RQA9xEQEKBff/1Vu3fvNp0C2DzGGAAg38LDw1WzZk35+PiYTgFwH/Xq1VOdOnUUERFhOgWweYwxAEC+RUZGyt/f33QGgBzy9/fnIh6AFWCMAQDyJS0tTT/88IO6du1qOgVADgUGBmrr1q26ePGi6RTApjHGAAD5sm3bNl27dk2+vr6mUwDkkK+vrzIyMhQTE2M6BbBpjDEAQL7ExMSoXr16cnNzM50CIIcqVaqkRo0aMcYAwxhjAIB8iYmJUdu2bU1nAMildu3aacuWLaYzAJvGGAMA5FlmZqZiYmI4RREohtq1a6dt27bpxo0bplMAm8UYAwDk2b59+5SamsqRMaAY8vX1VVpamnbt2mU6BbBZjDEAQJ7FxMSoSpUqatCggekUALnk5eWl6tWr87wxwCDGGAAgz2JjY9WsWTPZ2dmZTgGQBw8//LBiY2NNZwA2izEGAMiz3bt3y8fHx3QGgDzy8fFRfHy86QzAZjHGAAB5YrFYFB8fzxgDijEfHx/t27dPGRkZplMAm8QYAwDkSUJCgn7//XfGGFCM+fj46MqVKzp8+LDpFMAmMcYAAHkSHx8vBwcHxhhQjDVo0EBOTk7avXu36RTAJjHGAAB5smfPHtWpU0dlypQxnQIgj5ycnNSgQQPt2bPHdApgkxhjAIA8OXz4sOrUqWM6A0A+1alTR0eOHDGdAdgkxhgAIE8SEhLk5eVlOgNAPtWuXVvHjh0znQHYJMYYACBPGGNAyeDl5aWEhATTGYBNYowBAHLtxo0bSk5OZowBJYCXl5dOnTqlK1eumE4BbA5jDACQa8nJybpx4wZjDCgBbv455ugYUPQYYwCAXLv5TZu3t7fZEAD5dvPPMc8bA4oeYwwAkGunTp2So6Oj3NzcTKcAyKdy5cqpbNmyOnXqlOkUwOYwxgAAuZaSkqIqVaqYzgBQQNzc3HT+/HnTGYDNYYwBAHLt/PnzcnV1NZ0BoIC4uroqJSXFdAZgcxhjAIBcO3funKpWrWo6457s7OxkZ2dnc++7qCQlJZlOuK/U1FSFhIRk/X4sWrTIdJLVqlKlis6dO2c6A7A5jDEAQK6dPXvW6scYCs/kyZNVq1Yt0xn3NXPmTA0fPjzrxydOnDBYY92qVq3KaYqAAY6mAwAAxc/Zs2fl6elpOsNqWSwW0wmF6vXXXzedkCM3O0+fPq0HHnjAcI11q1q1qmJjY01nADaHI2MAgFy7cuWKKlasaDoDyBGG2P2VLVtWFy5cMJ0B2BzGGAAg1y5evKhSpUqZzsixRYsWyc7OTt27d7/r84aye47X3W6Pjo7WyJEjs37u7bff1u7du+/5627++MyZM5o8efI9W25/H927d1d0dPR975ddS27ulxN3+7j+/N9JSUnq3r273n777az77d69O+vjzu5jz83nKKe/B3frvGnRokXq3r17jr4ubv+Y/vx4K1asyHqMFStW3PL4xem5amXLli3xR3QBq2QBACCXfHx8LOPGjTOdcU+SLJIskyZNyvrvm28jRoy4632ze4ybli9ffsdj3XyLiorK9tfd/HFQUNAdvy40NPSW9zlu3Li7Pv7tn++ctuT0frn9vP757c+33+y/+XHd6/3/+WPP6ecot78Ht3fm5nOc3cd08/a7tcTGxt718W//fbY2EyZMsHh6eprOAGwOR8YAALl29epVlS1b1nRGjvzwww9KTEyUxWJRYmKixo0bpy+++CLbo0330r17d0nKejyLxaKtW7dKkhYvXnzfX9+0aVNduHBBFotFUVFRkqSFCxdm/Xx0dLTGjx+vcePGZd3vwoULGjdunMaPH3/L0Z+ctuS3+XaWPx09ufl4f9aoUSNZLBb17dv3lve/devWrPsnJiZKkvr165frz1FOP57sOv/8Ob7962L8+PF3/bq4/WO6afv27Xe0NmvWTJLuuP1uH6s1cXZ2Np0A2KYim30AgBLD09PTMmHCBNMZ96Q/jkgcPHjwltsTExPvODqm246cZHf7zaM2kyZNskRFRVkuXLhwz/d9+49Pnz59z/vdPKJy++NeuHAh6/3mtiWn98uNu32+svsYbzp9+rQlNjbWsnz58luOHN3v1+f19yC7zhEjRlgkWRITE2+5/V5fF9k1ZXf77U3ZfX1Zk88//9xSpUoV0xmAzbGzWDhBGACQOx4eHho7dqxefPFF0ynZuvmcnrv9NXf7z2V339tv3717d9aRD0kKCgrSqFGj5OfnVyCPn5PXJsttS07vlxt3+3ju9fl+++23NX78+Ls+VmH9HuSlM6+/b3m93ZrMmDFDb775JhfxAIoYpykCAHLt8uXLsre3vb9CmjZtKovFotjYWE2aNEkrVqxQp06d1L179zxfEKOwW0w3h4SEaPz48RoxYoSioqIUGxur06dP5/nxTH88JVW5cuVMJwA2iSNjAIBcq1WrlkaPHq2XX37ZdEq2bh6NSExMvOU10Q4dOqT69etr3Lhx+s9//nPLff/8V+KZM2f04IMP3nH7nyUlJemXX35Rp06dbrlfXo+wjBw5Ul988YUuXLiQ65cOyK4lr/e7l9wccbrb7ampqapUqdItt+f1qNK9Pp67/dqbn+Psvi5GjBih6dOn56mpOB8Zmz59usaOHcuRMaCI2d4/awIACkRaWprphBwJCQlRUlKSpP99437zhYA7duyYdZ+goCBJ0rZt2yT9byxMmzbtjse6eTn1m/fz9PRU3bp1C6w1ODhYkjRp0iSdOXMm6/bo6GjZ2dlp8uTJuW4pzObU1NQc3/fQoUNZv2bSpEl5fp/5/Xhufo5v/7qYN2+eJKlr1655bivuitPLVQAlRsE/DQ0AUNI1aNCg2FzAY8aMGfe9hHloaOgd9/nzJfFv2rp1a7aXVZ8xY8Yd7zu7H9/r9uwuux4UFHTLBSNy2pLT++XGny8/f/OCF9l9jHf73P757eYFVnL6OcrNx5PdY+b20vb3a8rr7dbkww8/5NL2gAHW/f8MAACr5OPjYxkzZozpjHv68zfANwdBUFBQtq/3FBoamjUybn5Tf7dvom9/Halx48ZZli9fnu37ztO2a5YAACAASURBVO5x7nV7aGho1lX/bvbc7SqFOWnJzf1yKjY2NqsvKCjonh+LxWK5ZRCPGzfOcvDgQUtsbOx9P9fZ3Z7Tj+deTX/+/c7u68KWxtiECRMsXl5epjMAm8NzxgAAufbII4/I399fEyZMMJ0CoAC88847WrJkieLi4kynADaF54wBAHKtbNmyunLliukMAAXk6tWrNnmFVMA0R9MBAIDip0KFCrm6eAOsW05e3+wmTqgpmS5cuCBXV1fTGYDN4Z9AAAC5VrVqVZ09e9Z0BoACcvbsWVWpUsV0BmBzGGMAgFxzdXVljJUglv9d0CtHbyiZzp8/z5ExwADGGAAg16pUqaJz586ZzgBQQM6dOyc3NzfTGYDNYYwBAHLNzc1N58+fN50BoICkpKRwZAwwgDEGAMg1V1dXnT9/XhkZGaZTABSAc+fO8ZwxwADGGAAg16pXry6LxaKTJ0+aTgGQT+fOndO1a9fk4eFhOgWwOYwxAECueXl5SZISEhKMdgDIv5t/jm/+uQZQdBhjAIBcc3d3l7OzM2MMKAGOHj0qR0dH1axZ03QKYHMYYwCAXLOzs5OXlxdjDCgBjh07Jg8PDzk5OZlOAWwOYwwAkCeMMaBkSEhI4BRFwBDGGAAgT7y8vHTs2DHTGQDyiTEGmMMYAwDkSb169XTw4EHTGQDy6fDhw6pfv77pDMAmMcYAAHnSpEkTnThxghd/Boqx33//XUePHpWPj4/pFMAmMcYAAHnStGlTSVJ8fLzhEgB5tWfPHmVmZjLGAEMYYwCAPHFzc1O1atUYY0AxFh8fr4oVK8rT09N0CmCTGGMAgDzz8fFRbGys6QwAeRQfH89RMcAgxhgAIM98fHw4MgYUY4wxwCzGGAAgz5o3b649e/YoPT3ddAqAXMrMzFRsbKyaN29uOgWwWYwxAECetW3bVmlpaZyqCBRD8fHxSk1Nla+vr+kUwGYxxgAAeebl5SUPDw9t3rzZdAqAXNqyZYvc3NxUr1490ymAzWKMAQDypW3btoqJiTGdASCXtmzZorZt28rOzs50CmCzGGMAgHxp166dtmzZYjoDQC5t2bJF7dq1M50B2DTGGAAgX9q1a6dTp07pyJEjplMA5FBycrISExMZY4BhjDEAQL40a9ZMVapU0fr1602nAMih9evXq1y5cmrZsqXpFMCmMcYAAPni4OCgTp06ac2aNaZTAORQRESEOnfuLCcnJ9MpgE1jjAEA8q1r165au3atrl+/bjoFwH1kZmZqzZo18vf3N50C2DzGGAAg37p06aKLFy/qxx9/NJ0C4D5++uknnTt3Tl27djWdAtg8xhgAIN+qV6+uZs2aKTw83HQKgPuIiIjQ//3f/8nT09N0CmDzGGMAgALh7+/P88aAYmD16tUcFQOsBGMMAFAgevXqpdjYWB07dsx0CoBsnDhxQj/99JOefPJJ0ykAxBgDABSQli1bysvLS2FhYaZTAGRj8eLFql69utq2bWs6BYAYYwCAAtS7d2/GGGDFvvnmGwUHB8venm8BAWvAn0QAQIHp3bu3fv75Z/3yyy+mUwDcJjExUT/++KP69OljOgXAHxhjAIAC88gjj+ihhx7i6BhghRYvXqxatWqpVatWplMA/IExBgAoUH369FFoaKjpDAC3CQ0NVXBwsOzs7EynAPiDncVisZiOAACUHEePHtVDDz2kbdu2qWXLlqZzAEiKi4tTs2bNtH//ftWvX990DoA/cGQMAFCgateuLT8/P82cOdN0CoA/hISEyNfXlyEGWBnGGACgwA0dOlQLFy7UpUuXTKcANu/KlStasGCBhg0bZjoFwG0YYwCAAtezZ0+VKVNGixYtMp0C2LylS5fKYrHo6aefNp0C4DaMMQBAgStVqpSeffZZhYSEmE4BbF5ISIj69++vMmXKmE4BcBsu4AEAKBS//PKL6tevrx07dujhhx82nQPYpH379snHx0fx8fFq2LCh6RwAt2GMAQAKzZNPPilnZ2d98803plMAm/T888/r5MmTioiIMJ0C4C4YYwCAQhMTE6MOHTroyJEj8vT0NJ0D2JSTJ0/Ky8tLq1atUqdOnUznALgLnjMGACg0bdu2VYsWLTR16lTTKYDN+eyzz9SoUSOGGGDFGGMAgEL16quv6ssvv9SFCxdMpwA249KlS/rss8/06quvmk4BcA+MMQBAoXr66adVrVo1zZgxw3QKYDNmzZqlihUrql+/fqZTANwDYwwAUKjs7e319ttva/LkybwINFAErly5ookTJ+qtt96So6Oj6RwA98AYAwAUuv79+6ty5co8dwwoAp9//rmcnZ31/PPPm04BcB9cTREAUCQWLVqkF198UUePHlXFihVN5wAl0uXLl1W7dm1NnDhRgwYNMp0D4D44MgYAKBK9e/dW9erV9fHHH5tOAUqsadOmqVKlSnrmmWdMpwDIAY6MAQCKzNKlS/X888/r2LFjqlKliukcoES5ePGivL29NW3aNPXv3990DoAcYIwBAIqMxWLRo48+qhYtWmjKlCmmc4ASZezYsVq3bp1+/PFH2dtz8hNQHDDGAABFaseOHfL19VVsbKwaNGhgOgcoEY4cOaLGjRtr3bp1ateunekcADnEGAMAFLnnnntOZ86c0apVq0ynACVCz5495eLiogULFphOAZALjDEAQJE7deqUHnroIYWFhSkwMNB0DlCsRUdHKygoSPv375enp6fpHAC5wAnFAIAiV61aNb311lt67bXXdO3aNdM5QLF1/fp1vfLKK3rzzTcZYkAxxBgDABjx6quv6vr165owYYLpFKDYmjRpkn7//Xe98cYbplMA5AGnKQIAjFm3bp2eeOIJ7dy5U40aNTKdAxQrhw4dUtOmTbVkyRJ17drVdA6APGCMAQCMGjx4sA4cOKDNmzdzOW4ghywWi/z8/FS9enUu2gEUY/ytBwAwatKkSTp69Kg+++wz0ylAsTFz5kzFx8fr448/Np0CIB84MgYAMC4sLExDhgxRfHy8vLy8TOcAVu3EiRNq3LixPvnkEz377LOmcwDkA2MMAGAVnnzySaWkpGjjxo1ycHAwnQNYpczMTHXu3FlOTk5as2aN6RwA+cRpigAAqxASEqKjR4/qvffeM50CWK3JkycrLi5OX3/9tekUAAWAI2MAAKuxevVq9ejRQxs3blTr1q1N5wBWZefOnWrbtq0WLVqknj17ms4BUAAYYwAAq/LKK69o5cqVio2NVfny5U3nAFYhLS1NzZs3V/v27fXll1+azgFQQBhjAACrcvXqVbVs2VJNmjThkt3AH4YMGaItW7Zo586dKlu2rOkcAAWE54wBAKxK6dKltXDhQn333Xf65JNPTOcAxoWEhGjhwoVauHAhQwwoYTgyBgCwSgsWLNDgwYMVFRUlX19f0zmAET/99JN8fX01ffp0DR482HQOgALGGAMAWK1Ro0YpLCxMO3fulLu7u+kcoEilpKSoefPmCggI0IwZM0znACgEjDEAgNVKT09Xp06dJElRUVEqVaqU4SKgaGRkZMjf318XL17U5s2b+doHSiieMwYAsFqlSpVSWFiYjhw5ouHDh5vOAYrMSy+9pLi4OC1ZsoQhBpRgjDEAgFVzd3fXsmXLtHjxYr3//vumc4BC9/7772vWrFn65ptvVLNmTdM5AAoRpykCAIqF5cuX66mnntLXX3+tZ555xnQOUCiWL1+unj17au7cuXydAzaAI2MAgGKhe/fu+u9//6vBgwcrOjradA5Q4H788Uf169dP7733HkMMsBEcGQMAFCsvvPCCFi5cqE2bNsnHx8d0DlAgDh06JF9fX/Xo0UMhISGmcwAUEcYYAKBYycjIUK9evbR9+3Zt2rRJdevWNZ0E5EtCQoIeffRRNWzYUCtWrOCCHYANYYwBAIqd9PR0devWTQcOHNCWLVvk6elpOgnIk+TkZHXs2FHVq1fX6tWr5eLiYjoJQBFijAEAiqW0tDT5+/vr1KlT+uGHH1S9enXTSUCupKSk6LHHHlO5cuUUGRmpihUrmk4CUMQYYwCAYis1NVWdO3fWlStXFB0drQceeMB0EpAj58+fV+fOnXXjxg2tX79erq6uppMAGMDVFAEAxVbFihW1evVqOTg4qEOHDjpx4oTpJOC+Tp8+LT8/P12+fFlr165liAE2jCNjAIBi78yZM2revLnS09O1bds2eXt7m04C7io5OVmdO3eWk5OT1q5dq2rVqplOAmAQR8YAAMVWRkaG5s+frzZt2ig5OVnnz59X+/btdeDAAdNpwB2OHDmiRx99VOXLl9eGDRsYYgAYYwCA4ufGjRuaO3euHnroIQ0aNEjHjh2TJK1cuVL169dXhw4dFBsba7gS+P/27t2r9u3by8PDQ1FRUZyaCEASYwwAUIzcuHFDX3/9terWravnn39eiYmJyszMlL29vVq0aCF/f3+tXLlSf/nLX9S+fXtFRESYTgYUHR2tVq1aycvLS2vWrFGFChVMJwGwEowxAIDVu379umbPnq3atWtryJAhOn78uDIzM5WZmSnpf6crjhs3TpJUunRpLV26VP369VNQUJBmzJhhMh02bs6cOQoMDFRaWppiYmL0+uuv6+TJk6azAFgJLuABALBa6enpmjNnjt599139+uuvslgsuv2vLTs7O9WtW1cHDx6UnZ3dLT/3wQcfaOzYsXrzzTc1YcKEO34eKCwWi0XvvPOO/vOf/+if//ynfv/9d02ePFmOjo5ycnLSG2+8oTfeeEPlypUznQrAIMYYAMAqhYSE6O2331ZKSspdR9hNdnZ2+uqrrzRo0KC7/nxYWJgGDRqkoKAgff3113JxcSnMbEBXr17V8OHD9c033ygkJETPPvuskpKS5OXllfV17OjoqPLly2v8+PEaOnSoSpUqZbgagAmMMQCA1bl69arKlCmTo/u6u7srISHhnt/MbtmyRT179pS7u7uWLFmiunXrFlQqcIvExEQ99dRTOnbsmL799lt17Ngx6+eCgoIUERGhGzduZN1mb2+vmjVrauLEiQoODuboLWBjeM4YAMDqlC5dWpGRkXJ2dpa9ffZ/VTk4OOjNN9+871GFdu3aaefOnSpdurRatmyplStXFnQyoDVr1qh58+bKyMjQjh07bhlikvTKK6/cMsQkKTMzU8ePH1ffvn3VokULbdiwoQiLAZjGGAMAWKXHH39cERERKlWqlBwcHO56n3Llymno0KE5eryaNWtq48aNCg4OVvfu3fXvf/876wIgQH5YLBa999576tatm7p166aYmJi7vvB4p06d9NBDD91x9CszM1MWi0W7d+9Wx44d5e/vr/j4+KLKB2AQYwwAYLUee+wxLVy4UPb29ncMMicnJ73yyiu5ugCCs7OzZsyYoZCQEH3wwQcKCAjgynbIlzNnzuiJJ57Qu+++q6lTp2rOnDnZnmJrZ2enl19+OdujvRkZGZKk9evXq0mTJvrss88KrRuAdeA5YwAAq/Xrr7/qscceU0ZGhk6dOqVr165lfcNaunRpHT9+XFWrVs3TY+/YsUP9+/fXhQsXNHPmTHXv3r0g02EDIiIi9Nxzz6ls2bJasGCBWrdufd9fc+nSJT344INKS0vL9j729vbKzMzU0qVL1bNnz4JMBmBlODIGALBKZ86cUadOneTo6KitW7dq48aNcnFxkYODgxwcHDR8+PA8DzFJatGihX7++Wd1795dPXr00IgRI+75DTJw09WrV/Xyyy+ra9euevzxx7Vr164cDTHpf6fWDhkyRE5OTnf9eQcHB5UqVUqrVq1iiAE2gCNjAACrk5KSIj8/P127dk0bNmxQ9erVJUm7du3SI488Iul/V63z9PQskPe3dOlSDR8+XA888IDmzJmjli1bFsjjouSJjY3VwIEDlZycrOnTp6tv3765fowDBw6oYcOGd7xcg6Ojo1xcXBQZGam//OUvBZUMwIpxZAwAYFXOnz+vxx9/XFeuXFF0dHTWEJOkhx9+WIcPH9Z3331XYENMknr16qXY2FjVqFFDbdu21ejRo3X58uUCe3wUf1euXNHYsWPVsmVLValSRbGxsXkaYpLUoEED+fn53fI8SCcnJzk7O8vNzU21a9cuqGwAVo4xBgCwGqmpqerSpYsuXLigqKgoeXh43HGfunXrqkePHgX+vj08PBQZGakvvvhCX331lXx8fBQZGVng7wfFz80LakyfPl1Tp07V+vXrVatWrXw95ksvvZT1/EcnJyfVrl1bGzZsUEZGhoKCgjhlFrARjDEAgFW4OcROnz6t6OjofH+zmxd2dnYaMmSI9u3bp+bNm8vf31+DBg3S2bNni7wF5v32228aOnSoOnXqpEaNGmnv3r0aOXLkPV/7LqeCgoLk6OgoSWrevLm2bt2qFi1aaO3atTp69Kj69Omj9PT0fL8fANaNMQYAMO7SpUvq1q2bkpOTtX79euOnaVWrVk2LFy/Wd999p6ioKD300EOaMmXKHS/Yi5Lpxo0b+vzzz1WvXj2Fh4dnfS3UqFGjwN6Hvb295syZo/79+ys6OlqVK1eW9L8jvytWrFB0dLQGDx58x/PKAJQsXMADAGBUWlqaAgMDdfDgQW3YsEENGjQwnXSLS5cu6f3339fkyZNVu3ZtTZ48WQEBAaazUEjWrVunV155Rb/88oteeukljRs3TpUqVSryjqioKHXt2lWvvvqq3n///SJ//wCKBkfGAADGpKWlqUePHtq/f7/WrVtndUNM+t+lyMePH6/4+HjVr19fgYGBCgwM1L59+0ynoQAdPnxYvXr10uOPP6569epp7969mjRpkpEhJkmdOnXS7NmzNXHiRMYYUIIxxgAARqSnp6tXr17atWuX1q5dq8aNG5tOuqe6detq6dKlWr9+vU6fPq0mTZpo0KBBOnLkiOk05ENCQoIGDx6shg0b6uDBg1q9erWWLVumunXrmk7TM888oylTpuitt97SggULTOcAKASMMQBAkbs5xLZt26Y1a9aoadOmppNy7LHHHtOOHTs0d+5cbdu2TQ0aNNCwYcOUmJhoOg25kJycrBEjRqh+/frauHGjZs2apbi4OKs7BfXll1/W3//+dw0ePFgrVqwwnQOggPGcMQBAkUpPT1ffvn0VHR2tyMhItWrVynRSnt24cUMLFizQO++8oxMnTmjo0KEaPXq08QuQIHuJiYmaPHmyZsyYoWrVqmncuHF67rnnsq5saI0sFosGDx6ssLAwRUdH84LQQAnCGAMAFJmMjAz169dPq1evVkREhNq1a2c6qUBcv35dX331lT744AMlJiaqV69eGj16NN80W5GdO3dq0qRJ+vbbb1WjRg29+eabGjp0qEqVKmU6LUcyMjLUq1cvbd26VevXr1ejRo1MJwEoAJymCAAoEhkZGRo4cKDCw8MVHh5eYoaY9L8X7R0+fLgOHTqk0NBQJSYmqnXr1mrXrp2WLl2qzMxM04k2KTMzU+Hh4fLz81OLFi10+PBhzZs3T7/88oteeOGFYjPEJMnBwUGhoaGqU6eOAgIClJycbDoJQAFgjAEACl1mZqaGDh2q77//XsuXL1f79u1NJxUKBwcHBQcH68cff9TGjRtVtWpVBQcHy9vbW++++66OHz9uOtEm/Prrrxo/frweeughBQUFycXFRdHR0dqxY4f69u1r1ack3ouLi4siIiJUuXJlde3aVb/99pvpJAD5xGmKAIBCZbFYNGzYMM2fP1/ff/+9/P39TScVqSNHjmjmzJmaM2eOzpw5I39/fw0bNkzdunWTk5OT6bwSIyMjQ+Hh4Zo1a5bCw8Pl6uqqQYMGaciQIapfv77pvAKVnJysNm3aqEaNGoqOjpaLi4vpJAB5xBgDABQai8Wiv/3tb5o5c6aWLl2qbt26mU4y5vr16woPD1dISIjWrFmTddSsT58+atu2reztOVkltywWi2JiYrR48WItXrxYp06dUpcuXTRkyBD16NGjRI/dAwcOqH379mrTpo2WLl0qBwcH00kA8oAxBgAoNKNGjdL06dO1aNEi9ezZ03SO1Th+/LgWLlyosLAw/fzzz/Lw8FBwcLCCg4PVunVr2dnZmU60atu3b1dYWJjCwsJ0/PhxNW3aVL1799aAAQPk6elpOq/I/Pjjj/Lz89PTTz+tr7/+mq8boBhijAEACsUbb7yhjz/+WKGhoQoODjadY7UOHz6ssLAwffPNN4qPj5eHh4cCAgIUEBCgzp07q2LFiqYTjbt06ZKioqIUERGh1atXKzExUY0aNVKfPn0UHBysBg0amE40ZtWqVerZs6dee+01TZgwwXQOgFxijAEACtw//vEPffDBB5o3b5769etnOqfY2L9/v1auXKmIiAht3rxZmZmZatu2rQICAtSxY0c1b968RJ96d9P169f1888/a+PGjVmfC0ny9fVVQECAunXrpoYNGxqutB4LFizQwIEDNXnyZL366qumcwDkAmMMAFCg3nnnHb377ruaPXu2Bg0aZDqn2Prz0aCIiAglJCSoTJkyatGiRdZzhdq2bavKlSubTs231NRUbd26VZs3b9aWLVu0fft2paWlycvLK+soYadOnVSuXDnTqVZr4sSJGjNmjObNm6dnnnnGdA6AHGKMAQAKzH//+1+NGzdOISEhGjJkiOmcEiUpKUlbtmzRli1btHnzZu3Zs0eZmZny9vZWkyZN1LhxYzVp0kRNmjRR3bp1rfKCDhkZGTpy5Iji4uIUHx+v+Ph4xcXF6dixY5KkRo0a6dFHH1WbNm3Uvn17m3r+V0EYO3asPvroI61cuVKPP/646RwAOcAYAwAUiI8++kivv/66PvvsM40cOdJ0Ton3+++/KyYmRrt27coaNgcOHND169fl7OysOnXqyNvbW97e3vLy8pKXl5e8vb3l7u4uV1fXQnnB4+vXr+vcuXM6efKkEhISdOzYMR07dizrv48ePaorV67IyclJ9erVk4+Pj5o2bapmzZqpTZs2PD8unywWiwYOHKhly5YpOjpaf/nLX0wnAbgPxhgAIN8++eQTjRo1SlOmTNErr7xiOsdmpaen68CBA4qPj9fhw4ezhlBCQoKSk5OVmZmZdd/y5cvLzc1NVatWlaurq8qVKycXFxc5OzvLzs5OlSpVuuPxU1NTlZmZqfT0dF2+fFmXLl3SuXPndPbsWZ09e1YXL17Muq+9vb2qV68uLy8v1a5dW97e3qpbt64aN26shg0bFsoYxP8G8dNPP62tW7cqJiZGdevWNZ0E4B4YYwCAfPniiy/0wgsv6MMPP9To0aNN5yAb6enpSkpK0smTJ3Xu3LlbRtS5c+d06dIlXbp0SdevX1dmZqZSU1N17do17dmzR40aNVLp0qVVoUIFOTg4yNHRUeXLl1fZsmXl6uoqV1dXubm5Zf23u7u7atWqxeAyJC0tTX5+fvr1118VExMjDw8P00kAssEYAwDk2axZszRs2DCNHz9eb731lukcFLCJEyfq73//u8aOHav//ve/pnOQCykpKfLz85OdnZ02bdrEKaCAlWKMAQDyZM6cORo8eLD++c9/6l//+pfpHBSCpk2bKi4uTt7e3jp69KjpHORScnKy2rRpI29vb0VERMjFxcV0EoDb2JsOAAAUP6GhoRoyZIjGjBnDECuhDh48qLi4OEnSsWPHtHPnTsNFyC0PDw+tWrVKe/fuVb9+/ZSRkWE6CcBtGGMAgFz59ttvNXDgQI0aNUrvvfee6RwUkoULF2a9wHSpUqW0cOFCw0XICx8fH61atUrr1q3TyJEjxQlRgHXhNEUAQI4tW7ZMffv21ciRIzVlyhTTOShEtWrVUlJSUtaPH3jgAZ08eVL29vw7bnG0fPly9erVS2+88YYmTJhgOgfAH/h/VABAjqxatUp9+/bVkCFD9PHHH5vOQSHauXPnLUNMks6cOaNNmzYZKkJ+de/eXV9//bU++OADTZ8+3XQOgD84mg4AAFi/NWvWqFevXho4cKA+++wz2dnZmU5CIVq4cKFKlSql9PT0rNucnJy0YMECdejQwWAZ8mPAgAFKTk7Wiy++qAoVKuiZZ54xnQTYPE5TBADcU3R0tIKCghQcHKzZs2dzmloJl5mZqWrVqiklJeWOn6tQoYJSUlJ4/bBibvTo0fr000+1evVq+fn5mc4BbBp/owIAsrVx40YFBQWpR48emjVrFkPMBmzYsOGuQ0ySLl68qMjIyCIuQkGbNGmSgoOD1bNnT/3444+mcwCbxt+qAIC7iomJUbdu3dStWzfNmzdPDg4OppNQBEJDQ7Ouoni7m6cqonizs7PT7Nmz1aZNGwUFBemXX34xnQTYLE5TBADcYfv27erSpYv8/Py0aNEiTkuzEenp6XJzc9PFixezvU/p0qV19uxZlS37/9i787Ce88X//49EkV2FSELGkmyRaUGKlK3RgkSFMHJ0MrbhzHIsh7GbUrYwhSKKCiVkL1tKmy0kIZJEorfq/fvjfKffmc9slur5Xh636+q6Zgx1N/O+Ro/3a6tfg2VUHUpKSmBlZYWCggKcPn0arVu3Fp1EpHR4ZIyIiH7j2rVrsLGxgYWFBYeYkomNjcXr16//8udIJBJERkbWUBFVJw0NDURHRwMA7OzsUFRUJLiISPlwjBERUaXr16/DxsYGX375JcLDwznElIy/v//fPhS4oqICa9asqaEiqm7a2to4deoUCgsL4eDggNLSUtFJREqFt7YnIiIAQEZGBoYMGYKePXsiIiIC6urqopOoho0aNQrZ2dnQ0dEBAJSVleHevXvQ19evHOZ5eXmwt7cXmUlVTFdXF0ePHkX//v0xZswYRERE8BpRohrCa8aIiAg3b96EpaUlOnXqhJiYGGhoaIhOIhmQk5ODtm3bIjU1FUZGRqJzqJpduHABNjY2cHd3R0BAgOgcIqXAI2NEREouKysL1tbWMDAwwJEjRzjEiJSUubk5QkND4eDggGbNmmHZsmWik4gUHq8ZIyJSYvfup+hODAAAIABJREFU3cOgQYOgq6uLI0eOoEGDBqKTiEigUaNGYfPmzVi+fDk2bdokOodI4fHIGBGRksrJyYGVlRVatGiBuLg4NG7cWHQSEckAT09PPH/+HLNmzYKWlhacnZ1FJxEpLI4xIiIllJubCysrKzRp0gTHjh3jECOi3/j222+Rm5uLCRMmQFNTE1ZWVqKTiBQSxxgRkZJ58uQJrKysUK9ePRw/fhyampqik4hIBvn5+eHly5dwcHDA6dOn0bNnT9FJRAqH14wRESmRZ8+ewdraGqqqqjhx4gS0tbVFJxGRjFJRUcGOHTtgbGwMGxsbZGVliU4iUjgcY0RESiI/Px/W1tZ4//49Tp48iRYtWohOIiIZp6amhkOHDqF9+/aws7NDfn6+6CQihcIxRkSkBF68eAEbGxuUlJTg1KlTaNWqlegkIpITDRs2RHR0NABgyJAhKCoqElxEpDg4xoiIFFxRURFsbGxQWFiI+Ph46Orqik4iIjmjra2NmJgYFBQUwMHBARKJRHQSkULgGCMiUmBFRUWwtbXF06dPcfLkSbRt21Z0EhHJKQMDAxw9ehRJSUlwdXVFeXm56CQiuccxRkSkoN68eYPhw4cjJycH8fHx6NChg+gkIpJzRkZGiIiIwJEjRzBr1izROURyj2OMiEgBlZSUYPjw4bhz5w5OnDiBjh07ik4iIgVhZWWFvXv3YuvWrVi2bJnoHCK5xueMEREpmLdv38Le3h6ZmZmIj49Hly5dRCcRkYIZNWoU/Pz84OXlBU1NTcyYMUN0EpFc4hgjIlIgEokEDg4OuHbtGk6ePIlu3bqJTiIiBTVjxgwUFhZi1qxZaN26NUaNGiU6iUjucIwRESmIX4dYYmIiTp48iZ49e4pOIiIFt2jRIuTm5sLZ2RkxMTGwsrISnUQkVzjGiIgUwPv37+Hi4oLz58/j2LFjMDY2Fp1ERErCz88PL168gIODA86dOwcjIyPRSURygzfwICKSc+Xl5XB1dUVcXByOHDmCfv36iU4iIiWiqqqK4OBgGBsbw9bWFllZWaKTiOQGxxgRkRwrLy+Hu7s7jhw5gsOHD8Pc3Fx0EhEpITU1NURERKBFixaws7NDfn6+6CQiucAxRkQkp6RSKTw9PXHw4EFERkZi4MCBopOISIk1btwYx44dAwCMHDkSRUVFgouIZB/HGBGRHJJKpZg2bRpCQkIQHh6OwYMHi04iIoK2tjZiYmJw7949ODg4QCKRiE4ikmkcY0REckYqleIf//gHgoODERERAVtbW9FJRESVDAwMcPLkSSQlJWHy5MmoqKgQnUQks3g3RSIiOfPNN99g27Zt2LdvH4YPHy46h4jod4yMjBAREQE7Ozs0atQIAQEBopOIZBKPjBERyZF58+bBz88Pe/bswejRo0XnEBH9KSsrK4SEhGDr1q346aefROcQySSOMSIiOfH9999j/fr1CA4OhrOzs+gcIqK/5ejoCD8/PyxatAhbt24VnUMkc3iaIhGRHFi8eDGWL1+O7du3Y/z48aJziIg+2IwZM5CXlwcvLy+0bNkSo0aNEp1EJDM4xoiIZNxPP/2ExYsXY+vWrfDw8BCdQ0T00RYvXoz8/Hy4uLggJiYGAwYMEJ1EJBN4miIRkQxbt24dFi1ahI0bN8LT01N0DhHRJ/Pz88OQIUMwatQopKWlic4hkgkcY0REMsrX1xdz5szBunXr4OXlJTqHiOizqKqqIiwsDMbGxhg2bBhycnJEJxEJxzFGRCSDNm/eDB8fH6xevRo+Pj6ic4iIqoSamhoiIiLQtGlTWFtbIz8/X3QSkVAcY0REMmbHjh3w8vLC0qVLMXfuXNE5RERVqnHjxoiLiwMAjBw5EiUlJYKLiMThGCMikiFBQUGYNm0afvjhB/zrX/8SnUNEVC1atmyJmJgY3Lt3D/b29pBIJKKTiITg3RSJSObduHFDKd45PX36NObPnw93d3eMHDkSSUlJH/Tr6tatC0NDw2quo5oiS6/3vLw8AEBmZqbMfLPM17tskkgkn3RTjrVr18LLywtOTk748ccfq6FMdujo6KBVq1aiM0jGqEilUqnoCCKiP5Ofn4/mzZuLzpB59+7dQ7t27URn0Gfi6/3D8PUuewICAjBz5kzRGTJNR0cHjx8/Fp1BMoZHxohIpr19+xYAcOjQIRgZGQmukT05OTkYNGgQiouLRadQFeDr/a/x9S67Xr16hVq1auHOnTuiU2TSTz/9hOjoaNEZJIM4xohILrRv3x7t27cXnSFzatfm/8YVEV/vf4yvd9mmq6vL1+2faN++PdTU1ERnkAziDTyIiIiIiIgE4BgjIiIiIiISgGOMiIiIiIhIAI4xIiIiIiIiATjGiIiIiIiIBOAYIyIiIiIiEoBjjIiIiIiISACOMSIiIiIiIgE4xoiIiIiIiATgGCMiIiIiIhKAY4yIiIiIiEgAjjEiIiIiIiIBOMaIiIiIiIgE4BgjIiIiIiISgGOMiIiIiIhIAI4xIiIiIiIiATjGiIiIiIiIBOAYIyIiIiIiEoBjjIiIiIiISACOMSIiIiIiIgE4xoiIiIiIiATgGCMiIiIiIhKAY4yIiIiIiEgAjjEiIiIiIiIBOMaIiIiIiIgE4BgjIiIiIiISgGOMiIiIiIhIAI4xIiIiIiIiATjGiIiIiIiIBOAYIyIiIiIiEoBjjIiIiIiISACOMSIiIiIiIgE4xoiIiIiIiATgGCMiIiIiIhKAY4yIiIiIiEgAjjEiIiIiIiIBOMaIiIiIiIgE4BgjIiIiIiISgGOMiIiIiIhIAI4xIiIiIiIiATjGiIiIiIiIBOAYIyIiIiIiEoBjjIiIiIiISACOMSIiIiIiIgFqiw4gIvoQSUlJkEgk1fo1SkpKUK9ePaioqFTr16lKOTk5ohOoGtTE610e8fUu23JycpCUlCQ644NJJBKoqanVyNdKSkrC27dva+RrkXzhGCMimdagQQMAwKRJkwSXyLamTZuKTqAqwNf7h+HrXfZoa2sDAPr06SO4RHYZGBiITiAZpCKVSqWiI4iI/sqzZ89QXFxcbZ8/JSUFjo6OAICdO3diwIAB1fa1qoOGhgZatmwpOoOqSHW/3j9GYGAgVqxYgZkzZ+Kbb74RnQOAr3dZVVFRgZycHFRUVIhO+SCvX79Gz549AQCbN2/GkCFDqv1rNm/evPINF6JfcYwRkVK7efMmTE1NUVRUBKlUiitXrvCdXaL/p3fv3khOToaBgQHu3LkjOoeoyrx79w716tUDAKirq+PKlSswMjISXEXKiDfwICKllZubC0tLSxQXF+PX96WaNWsmuIpINmRlZSE5Obnyr1NSUgQXEVWdunXrVv51eXk5hg4divz8fIFFpKw4xohIKeXn52PgwIF48eIFysrKKn9cS0tLYBWR7AgJCUGdOnUAAGpqati7d6/gIqLqUVZWhufPn2PkyJG8cQ7VOJ6mSERKp6ioCFZWVkhLS8P79+8rf1xVVfU3w4xImXXs2BFZWVmVf9+qVSvk5ubK1d1Gif6Kqqrqb65xq127NsaPH4+goCCBVaRseGSMiJSKRCLBqFGjfjfEAKBRo0aCqohkS0pKym+GGAA8fvwYFy5cEFREVPV+vWbsV2VlZdi1axfWrl0rqIiUEccYESmN8vJyODg4ICEh4XdDDACaNGkioIpI9oSEhPzu+Ut16tRBSEiIoCKimiGVSjF//nwcPXpUdAopCY4xIlIKUqkUU6dORWxs7J+eisjrxYj+e4vyXbt2/e7amffv3yM0NJSn8pJSGDNmDDIzM0VnkBLgGCMipfDtt98iKCgI5eXlf/pz+OwiIiAhIQF5eXl/+M9evnyJEydO1HARUfWoX7/+H/54RUUFSktLMWzYMDx//ryGq0jZcIwRkcLbuXMnVq1a9ZcPI1VVVYWmpmYNVhHJpv+9i+L/VadOHezZs6eGi4iqx1/djKasrAyPHj1Cr169UFpaWoNVpGw4xohI4RkbG6N169YA8KffZKqqqvIZY6T03r9/j5CQkD+8pvLXfx4eHo6SkpIaLiOqen93Z9CysjLk5ubi2bNnNVREyohjjIgUXvfu3ZGbm4tLly7B0dERqqqqvxtlKioqHGOk9OLi4lBUVPSXP+fdu3e8uQEphP998POvfv2zoUOHDliyZAkePHiANm3a1HQaKZHaogOIiGqKiYkJQkNDUVhYiKysLBQUFODVq1cAgNLSUmhrawsuJBIrICDgb3+OVCrFypUr4eTkVANFRNXn11PXf33emIaGBurXrw9/f3++vqnG8MgYESmVBw8e4Pjx41i+fDny8vIQGBiILl26AAB0dXUF1xGJZW1tDX19fQwcOBADBw6EmZkZmjZtin79+lX+WPv27WFtbS06leizvXjxAgAwePBg7Nu3D8+ePYOqqipSU1MFl5EyUZFKpVLREURENWXevHkICwvD3bt3Ubv2/39yQGZmJjp37oxatfgeFdGvcnJy0LZtW6SmpsLIyEh0DlGVevToEcrKytC2bdvKH5s3bx7Cw8Nx9+7dv72mjKgq8LsOIlIaxcXFCAwMxLRp034zxACga9euHGJEREqkdevWvxliAODu7o779+/j7NmzgqpI2fA7DyJSGjt37kRpaSmmT58uOoWIiGRQt27d0Lt3bwQFBYlOISXBMUZESkEqlWLz5s2YMGECtLS0ROcQEZGMcnd3x4EDB/gIB6oRHGNEpBTi4uKQmZkJHx8f0SlERCTDXFxc8O7dO0RERIhOISXAMUZESmH9+vWwtLRE165dRacQEZEM09bWxrBhw7Br1y7RKaQEOMaISOHduHEDcXFxPCpGREQfxM3NDSdOnEBubq7oFFJwHGNEpPA2bdqEDh06YOTIkaJTiIhIDowYMQJNmzbF7t27RaeQguMYIyKF9vLlS+zcuRMzZ87kreuJiOiDqKmpYdy4cQgODhadQgqO35kQkUILDAwEAHh4eIgNISIiueLm5oYbN27g8uXLolNIgXGMEZHCqqiowMaNGzFp0iQ0adJEdA4REckRExMTdOnShUfHqFpxjBGRwoqOjsbDhw/h7e0tOoWIiOSQu7s7QkNDIZFIRKeQguIYIyKFtWHDBtja2sLAwEB0ChERySFXV1e8fPkShw8fFp1CCopjjIgUUnJyMk6fPs2jYkRE9Ml0dXUxePBgBAUFiU4hBcUxRkQKyd/fH127doWNjY3oFCIikmNubm6IiYnBs2fPRKeQAuIYIyKF8/z5c4SEhMDHxwcqKiqic4iISI6NHj0adevWxd69e0WnkALiGCMihbN582aoq6vDxcVFdAoREck5DQ0NODs745dffhGdQgqIY4yIFIpEIkFAQAA8PT3RoEED0TlERKQA3N3dkZycjPT0dNEppGA4xohIoRw8eBD5+fmYNWuW6BQiIlIQ/fv3R7t27XgjD6pyHGNEpFA2bNiA0aNHQ09PT3QKEREpCBUVFUycOBF79uxBWVmZ6BxSIBxjRKQwLl68iIsXL8LLy0t0ChERKRg3Nzfk5eXh+PHjolNIgXCMEZHC+Pnnn9GrVy9YWlqKTiEiIgXToUMHWFhYIDg4WHQKKRCOMSJSCE+ePEFERAR8fHxEpxARkYKaOHEiDh06hKKiItEppCA4xohIIQQEBKBx48YYN26c6BQiIlJQY8eOhYqKCvbt2yc6hRQExxgRyb23b99i8+bNmD59OtTU1ETnEBGRgmrUqBHs7e15qiJVGY4xIpJ7oaGhePXqFW/cQURE1c7d3R0JCQnIysoSnUIKgGOMiOTexo0bMW7cOOjo6IhOISIiBTdkyBDo6OjwmWNUJTjGiEiunT59GsnJyZg5c6boFCIiUgKqqqpwdXXF7t27IZVKReeQnOMYIyK5tmHDBnz55ZcwMTERnUJERErC3d0d2dnZOHPmjOgUknMcY0Qkt3JychAdHY3Zs2eLTiEiIiViaGgIY2NjnqpIn41jjIjklp+fH3R1deHg4CA6hYiIlIy7uzvCw8Px5s0b0SkkxzjGiEguFRcXIzAwENOmTUPt2rVF5xARkZIZN24cSktLcfDgQdEpJMf4HQwRyaWdO3eitLQU06dPF51CJFcqKipQUFCA58+fo6CgAAUFBXj58iVKS0sBAEVFRaioqEB5eTkeP36MJk2awM/PD23btkXt2rWhoqKCJk2aAADU1dXRpEkTaGpq/uZDVVVV5G+RqEZoa2vDzs4OQUFBmDBhgugcklMqUt4GhojkjFQqRbdu3WBubo6tW7eKziGSGWVlZcjNzUV2dnblx/3795GdnY28vLzK8fV/1a1bF/Xq1QMANGzYELVr10atWrXQuHHjyp/zvyPt1atXAP77wPV379797vM1bdoUWlpaaNGiBdq1awd9ff3ffLRp0wZ16tSppn8LRDXn0KFDcHR0xIMHD6Crqys6h+QQxxgRyZ1jx47B1tYW6enpMDQ0FJ1DVOMqKipw9+5dXL9+HWlpaUhLS0NqaioePHiAsrIyAED9+vWhr69fOYZatGgBTU1NNG/e/HdHstTV1T+5RSKRVI68X4+25efno6CgAM+ePascg/fv30dxcTGA/94aXE9PD927d4eRkRG6d++O7t27w8DAgEfVSK5IJBK0atUKc+bMwcKFC0XnkBziGCMiuWNra4vS0lKcOnVKdApRjbh9+zYSExORmJiIa9euISMjAyUlJahTpw46depUOWg6dOhQefRJW1tbdPbv5OfnVx6xu3fvHlJTU5GWloabN2/i/fv3qFevHgwNDdGjRw+YmZnBzMwMnTt3Fp1N9JdmzZqFEydO4MaNG6JTSA5xjBGRXLlx4wYMDQ1x8OBB2Nvbi84hqnKlpaVISkpCYmIizp8/jwsXLiA/Px8NGzaEiYkJevfuDSMjIxgZGaFr165QU1MTnfzZJBIJbty4UXmU7/r167h48SKKioqgra0NU1NTmJmZwdzcHH379v2sI3lEVe3q1avo27cvLl68iH79+onOITnDMUZEcsXb2xsxMTG4desWatXiDWFJMWRlZSE2NhYxMTE4ffo0SkpKoKenB3Nzc5ibm8PCwgLdunVTqlP4ysvLkZ6ejgsXLiAxMREXLlzA/fv3oaGhAUtLS9jZ2cHW1hYGBgaiU4lgaGgIS0tL+Pv7i04hOcMxRkRy4+XLl2jTpg2WLl0KHx8f0TlEn+zdu3eIj49HTEwMYmNjkZWVBW1tbdjY2MDOzg6WlpZo3bq16EyZ8+jRI5w7dw7Hjh1DbGws8vLyYGBgAFtb28p/bxoaGqIzSQmtWrUKK1euxOPHj3nklj4KxxgRyY01a9Zg8eLFePjwYeWttYnkxbt37xATE4OwsDBER0fj3bt3MDExqTzCY2xszKO9H0EqlSIlJQVHjhzB0aNHcfnyZairq2PYsGEYO3Yshg8fXnmHSKLq9ujRI+jp6SEsLAyOjo6ic0iOcIwRkVyoqKhAhw4dMHLkSPj6+orOIfogpaWliIuLw759+xAVFYW3b9/C2toaY8aMwVdffYVmzZqJTlQYL168QFRUFMLCwnDixAmoq6tj5MiRGDNmDGxtbVG3bl3RiaTgbG1toaamhqioKNEpJEc4xohILkRGRsLBwQG3bt3iNSIk865cuYLAwECEhYXh9evXsLS0hLOzMxwdHaGlpSU6T+G9ePECBw8exL59+xAfH4/69evDyckJnp6eMDU1FZ1HCiokJAQeHh7Izc1F8+bNReeQnOAYIyK5MGjQINSrVw9Hjx4VnUL0h4qKirB7924EBgYiJSUFPXr0gKenJ5ydndGiRQvReUorPz8f+/fvx44dO5CUlAQjIyN4enpiwoQJPDJJVaqkpAQ6OjpYvHgxr2umD8YxRkQyLzk5Gb1790ZsbCyGDh0qOofoNxISErB161aEhYVBVVUVLi4u8PT0hImJieg0+j+SkpIQGBiI0NBQlJaWwtHREdOmTcOAAQNEp5GC8PT0xLVr13Dt2jXRKSQnOMaISOZ5enoiMTER6enpUFFREZ1DhPLyckRERGDNmjW4fPky+vbti6lTp8LFxQUNGjQQnUd/o7i4GPv378e2bduQmJgIY2NjzJ07F05OTqhdu7boPJJjZ8+excCBA3H9+nV0795ddA7JAd62iYhk2vPnzxESEgIfHx8OMRKuuLgYfn5++OKLL+Di4oK2bdvi0qVLuHz5MqZOncohJicaNGiASZMmISEhAVevXkXHjh0xceJEGBgYYP369Xj16pXoRJJT/fv3R/v27REcHCw6heQExxgRybTNmzdDXV0dLi4uolNIiT179gzffvst2rRpg4ULF2L48OG4ffs2wsLCeDqinDM2NkZoaCiysrIwevRo/Pjjj2jTpg3mzZuHvLw80XkkZ1RUVDBx4kTs2bMHZWVlonNIDvA0RSKSWRKJBPr6+nB1dcXq1atF55ASKigowOrVq+Hv74/69evD29sbX3/9NW/8oMBevnyJLVu2wNfXF4WFhZg5cybmz58PbW1t0WkkJ+7duwcDAwMcPnwYw4YNE51DMo5jjIhkVlhYGFxdXXH37l3o6emJziEl8vLlS6xfvx4bNmyAuro6FixYAC8vLz5EWIm8ffsWW7duxYoVK/DmzRt4e3tjzpw5HOL0QQYOHAgdHR3s3btXdArJOI4xIpJZpqamaNOmDcLCwkSnkJIoLi7Ghg0bsG7dOqioqGDu3LmYNWsWrwVTYm/evIG/vz9Wr16N9+/fY/bs2fjmm2/QsGFD0WkkwwIDAzFr1iw8efIETZo0EZ1DMoxjjIhk0sWLF2FqaopTp07B0tJSdA4puIqKCvzyyy/47rvvUFJSAh8fH8yePRuNGzcWnUYy4vXr1/j555+xdu1a1KtXD8uWLYOHhwdq1eLl9/R7r169go6ODtatW4fp06eLziEZxjFGRDLJxcUFt27d4rNaqNpdvHgR3t7eSE5OxrRp07B48WJoaWmJziIZVVBQgB9++AFbt26FkZER1q1bxzeM6A+NHz8eDx48wIULF0SnkAzj2zlEJHOePHmCiIgI+Pj4iE4hBZaTk4Px48fDzMwM9evXR0pKCvz9/TnE6C9pamrC398f169fR4sWLTBo0CCMGzcOOTk5otNIxri7uyMxMRF37twRnUIyjGOMiGROQEAAGjdujHHjxolOIQVUVlaG5cuXo3Pnzrhy5QrCw8Nx6tQpGBoaik4jOdK1a1fExMTg8OHDSEpKQufOnbFkyRJIJBLRaSQjBg8ejFatWvGZY/SXOMaISKa8ffsWmzdvxvTp06GmpiY6hxTM1atXYWxsjGXLluHHH39ERkYGRo8eLTqL5Njw4cORkZGBxYsXY+XKlTA2NsbFixdFZ5EMUFVVhaurK3bt2oWKigrROSSjOMaISKaEhobi1atX8PLyEp1CCqSkpARz5syBqakpNDU1kZqaigULFnDwU5VQU1PDvHnzkJ6eDh0dHZibm+Of//wniouLRaeRYG5ubnjw4AHOnj0rOoVkFG/gQUQypXfv3jAyMkJQUJDoFFIQx48fx/Tp01FYWIg1a9Zg8uTJUFFREZ1FCiwoKAhz5sxBgwYNsGnTJtjZ2YlOIoH69u0LQ0ND/PLLL6JTSAbxyBgRyYzTp08jOTkZM2fOFJ1CCqCkpAReXl4YOnQoevfujRs3bmDKlCkcYlTt3N3dkZmZCVNTUwwbNgyenp548+aN6CwSxN3dHeHh4XwN0B/ikTEikhlfffUVnj59isTERNEpJOeuXbuGCRMm4OnTp9iyZQucnJxEJ5GSioyMhKenJ5o1a4bdu3ejb9++opOohj1//hytW7dGYGAgJk6cKDqHZAyPjBGRTMjJyUF0dDRmz54tOoXkWEVFBdasWQMzMzPo6Ojg+vXrHGIklL29PVJTU6Gvrw9zc3MsX74c5eXlorOoBmlpaWHYsGE8/Z7+EMcYEckEPz8/6OrqwsHBQXQKyanc3FzY2NjgX//6F5YsWYLjx49DV1dXdBYRdHR0EBsbi1WrVmHp0qWwsrLic8mUjIeHB06dOsX/7vQ7HGNEJFxxcTECAwMxdepU1K5dW3QOyaETJ06gV69eePz4MRITEzF//nzUqsU/4kh2qKiowMfHB5cuXUJBQQF69eqFmJgY0VlUQ+zs7CpPVSX6X7xmjEiGFBYWIjs7G9nZ2Xjy5AkKCgp+9yGRSPDq1SsAwLt37/D27dvKX1+3bl3Uq1cPANCwYUOoqalBU1Pzdx86Ojpo164d9PX10bRpUyG/1//l5+eHBQsWICcnB1paWqJzSI5IpVKsWrUK//rXvzB+/Hhs3rwZGhoaorOI/tK7d+8wc+ZM/PLLL/j3v/+N7777jjeWUQLe3t6Ii4vDzZs3RaeQDOEYI6phZWVluH37NtLS0nD9+nXcuHED9+/fR3Z2NoqKigD89x3UX4eTlpbWb4ZU7dq10aRJEwD/fbZN/fr1Kz93SUkJSktLAQBFRUV4//79Hw66goKCygdQNm7cGPr6+tDX10eXLl3QvXt3GBkZoXPnzjVylEoqlaJbt24wNzfH1q1bq/3rkeJ4/fo1PDw8EB0djbVr12LWrFmik4g+ypYtW/DPf/4TNjY2CA4Orvx/OymmpKQk9OnTB4mJifjyyy9F55CM4BgjqkZSqRQ3b95EYmIizp07h9TUVGRkZKC0tBRqamro2rUrunTpUjmG2rVrh3bt2kFPT69aH0YrkUiQk5NTeRQuOzsb9+/fx82bN3/TZ2hoiB49esDU1BRmZmYwNDSs8ndvjx07BltbW6Snp8PQ0LBKPzcprps3b2L06NEoKirC/v37YW5uLjqJ6JNcunQJTk5OqFevHsLDw2FkZCQ6iapRt27dMGDAAAQEBIhOIRnBMUZUhSoqKpCUlISTJ0/i/PnzSExMxIsXL9C4cWN8+eWX6NWrV+WRp06dOqFOnTqik3/n/x65u379Oi5evIgXL16gWbNmMDU1hampKaysrGAgj8GGAAAgAElEQVRiYgJVVdXP+nq2trYoLS3FqVOnquh3QIru6NGjGDduHHr06IGwsDDo6OiITiL6LPn5+RgzZgyuXr2K4OBgjB49WnQSVZNVq1Zh5cqVePz4MdTV1UXnkAzgGCP6TPn5+YiLi0NMTAzi4uKQn5+P9u3bw9zcHBYWFjAzM0PXrl3l+mYCUqkUmZmZuHDhAhISEpCQkIA7d+6gWbNmGDJkCGxtbWFra4uWLVt+1Oe9efMmunbtioMHD8Le3r6a6kmRbNq0CbNmzcLUqVPh6+srk29oEH2KsrIyzJ07Fxs3bsSaNWvg4+MjOomqwePHj6Gnp4fQ0FA4OzuLziEZwDFG9Amys7MRFhaG8PBwXL16FXXr1oW1tTWGDRsGW1tb6Ovri06sdtnZ2YiNjUVsbCxOnjyJN2/eoE+fPnBwcMDYsWPRrl27v/0c3t7eiImJwa1bt+R6rFL1q6iowIIFC7Bu3TqsXLkSc+fOFZ1EVC38/Pwwe/ZseHl5Yf369Z999gHJHltbW6ipqSEqKkp0CskAjjGiD/Tw4UOEhYVh//79uHz5Mlq0aAEHBwfY29tjwIABqFu3ruhEYSQSCc6fP49Dhw7hwIEDePLkCfr06YOxY8fC2dkZbdu2/d2vefnyJdq0aYOlS5fyHWD6S2/fvsXEiRNx9OhR7Nq1C46OjqKTiKpVdHQ0XFxcYGVlhdDQ0N/cqInkX2hoKNzc3PDo0SM0b95cdA4JxjFG9BdKS0tx6NAhbNu2DfHx8dDU1ISjoyPGjh2LAQMG8B3LP1BRUYGzZ88iLCwMERERePbsGQYOHIipU6fC0dGx8hz5NWvWYPHixXj48CHvIEZ/6vnz5xg5ciTu3buHyMhI3oGMlEZSUhJGjBiB1q1b4/Dhwx99GjjJrrdv36Jly5b497//jdmzZ4vOIcE4xoj+wM2bNxEYGIjg4GC8fPkSI0aMgKenJ4YOHcoB9hHKy8tx4sQJBAYGIjIyEg0bNoSbmxsmT56MUaNGYeTIkfD19RWdSTLq8ePHGDx4MCoqKnDkyBF06NBBdBJRjcrJycGwYcMgkUhw4sQJ6OnpiU6iKjJ16lRcvXoVycnJolNIMI4xov9HKpUiLi4Oa9aswYkTJ9ChQwdMmTIFHh4evFtbFXj27Bl++eUXBAYG4s6dO1BRUcHWrVsxZcoUPuyUfic7OxuDBw9Go0aNEBcXx4eBk9IqLCyEra0tnj59ihMnTsDAwEB0ElWBc+fOYcCAAUhJSUGPHj1E55BAvGKelF5paSm2b9+OHj16wM7ODqqqqjh27Bju3LmDhQsXcohVkebNm2P+/Pm4desWTp48CUtLS0ybNg3dunXD1q1b8e7dO9GJJCNu376NgQMHonnz5oiPj+cQI6XWtGlTnDhxAm3btsWAAQOQkZEhOomqgIWFBTp06IDg4GDRKSQYxxgprZKSEqxZswb6+vrw8vJC7969cf36dcTGxsLGxoZHa6qJiooKrKysEB8fj/T0dJiamsLb2xtt27bFypUrUVxcLDqRBEpPT8fAgQPRvn17xMXF8XpCIgANGzZETEwMunfvDktLS1y7dk10En0mFRUVTJw4EXv27EFZWZnoHBKIpymS0iktLcWWLVuwYsUKFBcXY+bMmfD29karVq1EpymtvLw8+Pr6ws/PDxoaGvj222/x9ddfo169eqLTqAalpKRg8ODBMDExQXh4OP/7E/0fEokE48aNQ3x8POLi4mBiYiI6iT7D/fv30aFDB0RHR2P48OGic0gQjjFSGhKJBDt37sSyZctQUFCAGTNmYMGCBbytrAx5/vw5Vq9ejY0bN6JJkyZYuHAhpk2bBjU1NdFpVM0yMzNhaWkJCwsL7N27l//Nif5EWVkZ3NzccPToUZw5c4bXG8m5gQMHomXLlti3b5/oFBKEY4yUQmxsLObMmYOsrCxMnz4d3377LY+EybCnT59ixYoV2LJlC3R1dbFq1SqMHj1adBZVk6ysLFhaWqJHjx44ePAghxjR3ygvL8fYsWNx9uxZnDlzBl26dBGdRJ9ox44dmDlzJh4/foymTZuKziEBeM0YKbTMzEzY2dnBzs4OnTp1ws2bN+Hr68shJuNatGiBDRs24NatW+jbty8cHR1ha2uLzMxM0WlUxXJzczF48GB06tQJ+/fv5xAj+gCqqqoICQlBnz59YGNjg6ysLNFJ9ImcnJxQq1YthIWFiU4hQTjGSCG9evUKs2bNQo8ePfD06VOcOnUKERERaNeuneg0+gh6enoICQnBuXPn8OzZM/To0QP/+Mc/8PLlS9FpVAXy8vIwaNAgtGrVClFRUdDQ0BCdRCQ31NTUcODAAXTs2BE2NjbIzc0VnUSfoFGjRhg9ejSCgoJEp5AgPE2RFE5UVBS8vLwgkUjw008/wcPDA7Vq8X0HeVdRUYFffvkFixYtgqqqKjZu3MhTF+VYUVER+vfvjzp16iA+Ph6NGzcWnUQkl16/fo0hQ4agsLAQ58+fh7a2tugk+khxcXEYOnQobt++jY4dO4rOoRrG71BJYTx9+hRjx46Fvb09Bg0ahBs3bmDy5MkcYgqiVq1amDx5MjIzMzF06FA4OjrC0dERjx8/Fp1GH0kikcDBwQFSqRSxsbEcYkSfoWHDhjh27BjU1dUxcuRIvH37VnQSfaTBgwejdevWPDqmpPhdKimEXbt2oWvXrrh8+TJiY2Oxa9cuaGpqis6iatCsWTPs2LEDx48fR0pKCgwNDbFjxw7RWfSBpFIpJk+ejLS0NMTExPBdfKIq0LhxYxw9ehSPHj3C1KlTwZOe5EutWrUwYcIE7Nq1CxUVFaJzqIZxjJFcKywsxNixY+Hh4YGJEyciLS0NQ4cOFZ1FNcDa2hrp6enw9PTE1KlT4ejoiIKCAtFZ9Df+/e9/4+DBg4iOjoaurq7oHCKFoauri6NHj+Lw4cNYtGiR6Bz6SG5ubsjJycGZM2dEp1AN4zVjJLfOnDkDNzc3lJWVITg4GNbW1qKTSJD/fS0EBQVh8ODBopPoD+zZswceHh4IDw/HqFGjROcQKaTY2FiMGDECfn5+mDFjhugc+ggmJibo0qULT1dUMjwyRnKnrKwMixYtgpWVFfr06YPU1FQOMSU3cOBAXL9+Hf3798fQoUMxb948vH//XnQW/Y9Tp05h8uTJ8PX15RAjqka2trbw8/PDrFmzEBcXJzqHPoK7uzsiIiJQXFwsOoVqEI+MkVz59SYdSUlJ2LBhA6ZMmSI6iWRMUFAQvL29YWRkhLCwMD5TTgY8fPgQxsbGcHZ2hr+/v+gcIqWwcOFCbNmyBVevXkX79u1F59AHKCgoQKtWrbBt2za4ubmJzqEawjFGcuPixYtwcnJC/fr1ERERAUNDQ9FJJKNu3rwJBwcHFBYWYv/+/bCwsBCdpLRKS0thYWGBxo0b49ixY1BVVRWdRKQUysvLMXLkSDx58gQXLlzgc/zkhIODA4qKinDy5EnRKVRDeJoiyYVNmzbB0tISxsbGuHLlCocY/aXOnTvj8uXLsLCwgJWVFXx9fUUnKa2ZM2fi6dOnCA0N5RAjqkGqqqrYs2cPXr16henTp4vOoQ/k7u6O06dPIycnR3QK1RCOMZJp5eXlmDFjBmbNmoXvv/8ehw4dQqNGjURnkRxo0KABwsLC8J///AfffPMNJk+ezOvIalhgYCB2796NiIgI3sKeSICmTZsiPDwcERER8PPzE51DH2DYsGHQ1NTErl27RKdQDeFpiiSziouLMWbMGJw/fx579+7FsGHDRCeRnDpx4gScnJzQt29fHDhwgA8ZrgFXrlyBhYUFAgICeG0nkWC7du2Cp6cn4uPjYW5uLjqH/oa3tzeOHTuGW7duiU6hGsAxRjLp0aNHGDFiBPLz83H48GH07NlTdBLJuYyMDAwbNgyNGjXCkSNHoKenJzpJYb18+RI9e/bEkCFDsG3bNtE5RIT/foMfERGB1NRUNGvWTHQO/YVr167B2NgYCQkJMDU1rZLPWVRUhOzsbGRnZ+PRo0coKCj4zcf79+/x/v37393JsWnTpgAADQ0NaGpqQlNTE1paWmjevDnatGkDfX196OnpQU1NrUo6lRHHGMmctLQ0DBs2DM2aNcORI0f4YFiqMnl5eRgxYgQeP36MI0eOoFevXqKTFJKrqysyMzNx6dIl/gFNJCMkEgksLCzQpk0bhIeHi86hv2FkZAQLCwts2rTpo37dy5cvkZKSgrS0NKSlpeH69eu4c+cOCgsLK3+OlpZW5bD69UNNTQ2qqqq/uRSkoqICRUVFAIA3b95UDrf8/Hw8f/68crjVqlULrVq1QufOndGjRw8YGRnByMgI3bp1458BH4BjjGTK1atXMXToUPTt2xf79+9Hw4YNRSeRgnnz5g3GjRuHc+fO4ejRozAzMxOdpFB2796NadOm4erVq+jatavoHCL6H1lZWejVqxcfDSMHVq9ejRUrVuDJkydQV1f/05939+5dnD9/HgkJCUhISEBGRgakUilatGiB7t27o0ePHujQoQP09fUrP+rWrVsljYWFhZVH27Kzs3Hjxg2kpqYiIyMDxcXFqFevHvr06QMzMzOYmZmhf//+lUfa6P/HMUYy4/z58xg+fDhsbGywZ88evptC1aasrAweHh44dOgQIiMj+dDwKpKdnY0ePXrgp59+wowZM0TnENEf2L59O3x8fHDt2jV07NhRdA79iSdPnqBNmzYICQnBmDFjKn+8pKQEp0+fRkxMDGJjY5GVlYWGDRuiX79+MDMzg6mpKXr37o3mzZsLa6+oqMC9e/dw5coVJCYmIiEhAdevX4dUKoWJiQns7Oxga2sLY2Nj1KrFewlyjJFMOH78OL766is4Ojpi586dvAU2Vbvy8nJ4eXkhODgY+/fvx4gRI0QnybXy8nJYWlqiSZMmiIqKgoqKiugkIvoTTk5OyMnJwYULF1CnTh3ROfQnhg0bVvmIgujoaOzbtw/Hjx9HWVkZzMzMYGtrCxsbG/Ts2VPmv296/fo1EhIScOzYMURHRyMrKwva2tpwcHDA2LFjMWDAAJn/PVQXjjES7siRI3B0dMSkSZMQEBDAb+KoxkilUsyZMwf+/v4ICQmBo6Oj6CS5tWTJEmzatAkpKSlo0aKF6Bwi+gsvXrxA9+7dMWnSJCxdulR0Dv2BsrIyrFixAlFRUUhPTwcA2NnZYcyYMbCzs5P7uwJnZWUhKioKYWFhuHz5Mlq0aAFnZ2dMmjRJ6a7n5hgjoeLj4zFixAh8/fXXWLt2LYcYCfHdd99h9erVOHToEOzs7ETnyJ309HT06dMHBw8e5L8/Ijlx8uRJ2NnZ4dKlS0r3za8su3fvHnbs2IGdO3ciLy8Ptra2GDduHOzt7RX2OavZ2dkICwtDUFAQMjMz0adPH0ydOhUuLi5Kce8AjjESJiEhAUOGDMGkSZPg5+fHIUZCzZkzB5s3b8bhw4cxaNAg0Tlyo7y8HBYWFujatSu2b98uOoeIPoKXlxcuXbqES5cuoXbt2qJzlNq5c+ewZs0aHD58GK1bt8akSZMwZcoUpXsMS0JCArZt24awsDDUrl0bkydPho+PD9q2bSs6rdpwjJEQSUlJsLa2xujRo7Fjxw4OMRJOKpVixowZCAkJwfHjx9GvXz/RSXLB19cXK1asQGZmJu+SRSRnXr16BUNDQ3h7e2PevHmic5RORUUFIiIisHr1aly+fBkWFhaYPXs27O3tlfb6qV8VFRVh27Zt8PX1xZMnT+Dk5IQFCxYo5HNnOcaoxmVlZcHMzAyDBg1CSEiI0v8Ph2SHVCqFu7s7oqKicO7cORgZGYlOkmkPHjxAt27dsGPHDjg7O4vOIaJPEBUVhXHjxiEtLQ0dOnQQnaMUpFIpDh06hB9//BEZGRlwdHTE3LlzYWJiIjpN5rx//x779u3DunXrkJKSAkdHR/z444/o1q2b6LQqwzFGNSo/Px9mZmbo0qULDhw4wNvXk8wpLy+Hg4MDrl27hsTERD50/C/Y2dlBXV0dhw4dEp1CRJ9h7NixePHiBeLi4nimSjWLjY3Fd999h2vXrsHJyQmLFy9Gly5dRGfJPKlUiqioKPzwww9IT0/HuHHjsHjxYhgYGIhO+2y8uT/VmJKSEowcORKNGjXC3r17OcRIJqmqqiI0NBStW7eGg4MDSkpKRCfJpNDQUCQmJsLf3190ChF9pp9//hlJSUnYtWuX6BSFdfv2bdjZ2cHOzg6tW7dGSkoKwsLCOMQ+kIqKCuzt7ZGcnIy9e/ciOTkZ3bp1w3fffYfi4mLReZ+FY4xqhFQqhYuLCx49eoTIyEhoaGiITiL6UxoaGoiOjkZhYSFcXFxQXl4uOkmmvHnzBvPmzcOKFSvQunVr0TlE9JlatmyJ1atXY8GCBXj16pXoHIXy6tUrzJ07F0ZGRsjLy8OpU6cQGRmJ7t27i06TS7Vq1YKzszNSU1Px008/wd/fH1988QWCgoIgryf7cYxRjVi0aBHOnDmDo0eP8rQvkgva2tqIiYnB2bNnMXv2bNE5MmXlypXQ1tbGtGnTRKcQURWZNGkSdHV18Z///Ed0isI4fPgwDA0NERQUhPXr1+PKlSuwtLQUnaUQateuDR8fH9y5cwejR4/GlClTMHjwYNy9e1d02kfjGKNqFxYWhjVr1iAiIoI3RCC5YmBggPDwcGzZsgXBwcGic2RCTk4OVq9ejXXr1vHmO0QKpFatWvD19YWvry+ysrJE58i1p0+fwsXFBSNHjoSlpSUyMzPh5eXFxwdUAy0tLfj7+yMhIQHPnz+HkZERVq9ejbKyMtFpH4w38KBqlZGRgX79+mHJkiX45ptvROcQfRJ/f3/Mnz8fFy5cUMjb6n6MsWPHory8HAcOHBCdQkTVwNXVFSUlJTh48KDoFLl0+PBhTJkyBRoaGggICICdnZ3oJKXx/v17rFq1CsuWLUPv3r2xa9cutG/fXnTW3+IYo2pTVFQEExMT9OzZE3v37uUdmkiuubu74/z587h69arSPk/r3LlzGDp0KDIyMtCuXTvROURUDR4+fIjOnTsjKioK1tbWonPkRklJCebOnYvNmzfDw8MDP//8Mxo2bCg6SyllZmbC1dUV9+7dw8aNGzFx4kTRSX+JY4yqhVQqxVdffYW7d+/i0qVLqF+/vugkos9SUlICc3NztGzZEkeOHEGtWsp1lndFRQVMTEwwZMgQrFixQnQOEVWjJUuWYP/+/UhOTuapdR/g5s2bcHBwwNOnT7FlyxY4OTmJTlJ6paWlWLRoEdavX4/x48dj69atMnvzOOX6boJqjK+vL86cOYOIiAgOMVIIGhoaCA8Px6VLl7B27VrROTUuJCQE2dnZWLRokegUIqpmc+fOxfPnzxEUFCQ6ReZFRESgX79+0NTUxPXr1znEZIS6ujrWrl2LY8eOIS4uDqampjJ7LSTHGFW59PR0fPvtt9iyZQu++OIL0TlEVaZ9+/bYvn07vvvuOyQnJ4vOqTFlZWVYvHgx5s+fz9NuiJSAhoYGFi5ciKVLl0IikYjOkUnl5eVYuHAhnJyc4O7ujvj4eN4tWgYNGTIESUlJqFu3Lvr27YsjR46ITvodjjGqUu/evYOrqyucnZ0xduxY0TlEVW706NFwc3PD+PHjleaB0MHBwXj9+jVmzpwpOoWIasi0adNQXl6OwMBA0Sky582bN3BycoKvry+CgoLg6+uLOnXqiM6iP9GmTRucPXsWY8aMgb29PX7++WfRSb/Ba8aoSvn4+CA6OhrJyclo1KiR6ByiavHmzRv07t0b1tbWCAgIEJ1TrSQSCTp37gxvb2/4+PiIziGiGrR582YsW7YMd+7cQb169UTnyIS8vDzY29sjJycHkZGRMDExEZ1EH8HX1xfffPMNZs6cKTOPaOGRMaoy8fHx8Pf3x+7duznESKHVr18fe/bswfbt2xETEyM6p1rt2LEDEokE06dPF51CRDVs8uTJqFOnDrZs2SI6RSbcunULZmZmKC4uRkJCAoeYHPL29kZ4eDi2b98OR0dHvHv3TnQSj4xR1Xj79i2MjIzg4uKCpUuXis4hqhH/+c9/sHXrVmRkZKBBgwaic6rcu3fv0LFjRyxcuBBeXl6ic4hIgB07dmDRokW4d++ezN6Nriakp6djyJAh6Ny5MyIiIpT2ESeK4sqVKxgxYgSMjIwQGRkp9GZzPDJGVeLHH3+EmpoavvvuO9EpRDVm/vz5aNq0qcLeYXD79u0oLy+Hp6en6BQiEsTNzQ0aGhrYtGmT6BRhkpKSYGlpiV69euHo0aMcYgqgb9++OHPmDG7duoWhQ4eiqKhIWAuPjNFnS0pKgpmZGeLj42Fubi46h6hGXb16Febm5jhz5gy+/PJL0TlVpqKiAp06dcL06dMxd+5c0TlEJJCfnx/WrFmDu3fvKt1zxy5fvgwbGxtYW1sjNDQUampqopOoCt2/fx/W1tZo2rQp4uPj0bhx4xpv4Bijz1JWVoa+ffvCwsICfn5+onOIhJgzZw7i4uJw7do1hbmjVkREBNzd3fHw4UM0adJEdA4RCVRcXIw2bdrAz88PEyZMEJ1TY1JTU2FpaQkbGxvs2bNHJm72QFXv0aNHsLS0RPPmzXH8+PEaPx2XpynSZwkICEBBQQGWL18uOoVImCVLluDNmzfw9fUVnVJlVq9ejcmTJ3OIEREaNGgALy8vrFu3TnRKjbl58yYGDx4MS0tLDjEF17p1a5w6dQq5ubkYOXIk3r59W6Nfn0fG6JMVFBTgiy++wObNm+Hs7Cw6h0ioyMhIuLm5ISsrC9ra2qJzPsvFixfRv39/3L17F3p6eqJziEgGPHnyBPr6+oiJiYGVlZXonGqVm5sLU1NTdOvWDZGRkTw1UUlkZWVh4MCB6NOnDyIiImpsgHOM0SebNWsWUlNTcebMGdEpRDLBxsYGbdu2xbZt20SnfBZHR0fUrl0b+/btE51CRDLEw8MDeXl5iI2NFZ1SbYqKitC/f39oamriyJEjSn0HSWWUlpaG/v37Y/z48TX2HFGOMfokGRkZ6N27Ny5evIhevXqJziGSCenp6ejTpw8uXryInj17is75JHfv3sUXX3yBCxcuKNQNSYjo82VmZqJbt25IT09H165dRedUOYlEAjs7O+Tk5CAhIUHuz3KgTxMfHw87OzusXLkSPj4+1f71OMbokwwdOhR6enpyfwSAqKrNnDkTmZmZOHXqlOiUT7Jw4ULExcUhKSlJdAoRyaD+/fujd+/e+Pnnn0WnVLmvv/4aERERSEhIgIGBgegcEmjPnj3w8PDAwYMHMWLEiGr9WryBB3202NhYnD9/ng93JvoDixcvRlJSEiIjI0WnfLT3799j586dfK4YEf0pT09P7N69u8ZvclDdtm/fjp07dyI6OppDjODq6orvv/8eEyZMwJ07d6r1a/HIGH0UqVSKfv36wdLSEqtWrRKdQySTvv/+e0RHRyM5ORkqKiqicz5YREQE3Nzc8PjxYzRq1Eh0DhHJoJKSErRq1Qr+/v5wdXUVnVMlrl69CgsLC2zcuJFvRlElqVQKe3t73L9/H5cuXaq26wc5xuijREVFYcKECbh37x60tLRE5xDJpMLCQrRv3x5btmzBmDFjROd8MDs7O+jo6GDHjh2iU4hIhs2cORMZGRk4ffq06JTPVlBQgF69esHGxgaBgYGic0jGFBUVoW/fvujTpw9CQkKq5WtwjNEHk0ql6NWrF0aMGIFly5aJziGSaUuXLsXevXuRlpaGWrVk/4zwBw8eoH379jh//jxMTU1F5xCRDEtJSUHv3r1x8+ZNfPHFF6JzPouDgwMePnyI8+fPQ11dXXQOyaD09HT069cP/v7+8PDwqPLPL/vfIZDMOHDgAB48eIA5c+aITiGSef/85z/x9OlThIaGik75IDt27EDXrl05xIjob/Xs2RPGxsbYvn276JTPsm3bNhw/fhyhoaEcYvSnunXrhvXr18Pb2xt3796t8s/PMUYfRCqVYvny5fjHP/6Bpk2bis4hknmNGjWCj48Pli9fDlk/AUEqlSIoKKha3vEjIsXk7u6O4OBgVFRUiE75JLdv38bs2bPh5+fHG3bQ35o2bRqsrKzg6uqKsrKyKv3cPE2RPsixY8cwatQoZGdnQ0dHR3QOkVx4/vw59PT0sHfvXowaNUp0zp+6ePEizMzMkJ2dDT09PdE5RCQH8vLyoKuri+PHj2PQoEGicz5KRUUF+vfvj1atWmH//v2ic0hOFBQUwMjICLNmzcLChQur7PPyyBh9kPXr18Pd3Z1DjOgjaGlpYcqUKVi/fr3olL+0b98+fPnllxxiRPTBWrZsiQEDBiAsLEx0ykcLCAhAVlYWtmzZIjqF5IimpiYCAwOxZMmSKr3dPY+M0d9KT09Hjx49kJaWhq5du4rOIZIrWVlZ6NSpEy5duoQ+ffqIzvmdiooK6OnpYe7cufDx8RGdQ0RyZPPmzfjhhx/w5MkTqKqqis75IA8fPoShoSG2bduGsWPHis4hOeTq6orHjx8jPj6+Sh5fwzFGf8vd3R1Pnz5FbOz/x959xzV17n8A/wQQxYWCCC4EN0gQRasMF8oQDSruqtdW1GodbS1W67VVq621jrr1Alo3ghdUEAEVRGS4BcENMupAlqAyZOX3R2/4oRIIkJMn4/t+vXzd2+TkeT45yXnI94znhLCOQohCmjBhAjQ0NODj48M6yieioqIwdOhQpKeno0OHDqzjEEIUSFZWFtq3b4/g4GCMHDmSdRyJCAQCAEBgYCDjJERRZWZmwtTUFBs3boSbm1uD26NijNQoKysLHTt2REBAABwdHVnHIUQhXblyBXZ2dkhNTZW7gmfJkiWIi4tDZGQk6yiEEAXk4OCAzp07w9PTk3WUWoWGhmLixIl48OABOnbsyDoOUWAHDx7EDz/8gKSkJLRs2bJBbdE1Y6RGhw4dQvv27WFvb886CiEKy9bWFl27djIOrhoAACAASURBVMXBgwdZR/lARUUFTp48qVA3piaEyJcpU6bg1KlTKC0tZR2lRmVlZfjuu++wfPlyKsRIg82aNQtdunTBL7/80uC2qBgjYgmFQnh5ecHNzU0hblpLiLzi8Xhwc3ODl5eXXE0DfePGDWRkZMj1TI+EEPk2evRo5ObmIiYmhnWUGu3ZsweFhYVwd3dnHYUoAR6Ph23btmH37t0NnsyDfmETsa5cuYLk5GR8+eWXrKMQovBmzZqFFy9e4OLFi6yjVAoJCYGJiQnNokgIqTcDAwP07dtXrq8rf/36NX755Rds3LgRTZo0YR2HKIlBgwZhwoQJWLZsWYPaoWKMiOXh4QFnZ2e5u8aFEEXUtm1bjB07Fl5eXqyjVAoODoazszPrGIQQBefo6Ijg4GDWMcTavHkzOnXqRKdkE6lbu3YtgoKCcPXq1Xq3QRN4kGq9efMG+vr6OHHiBMaOHcs6DiFKITg4GOPGjcPLly+ho6PDNEtOTg7atm2LkJAQuiaUENIgUVFRGDJkCJ49e4b27duzjvOBrKwsdOnSBcePH6+cSZEQaZo3bx7S0tIQGhpar9fTkTFSrdOnT6Nx48ZwcnJiHYUQpTFy5Ei0aNECp06dYh0FoaGhaNq0KYYMGcI6CiFEwQ0aNAgtW7as949RLv3xxx8wNTWlQoxw5t///jciIiLqPSsxFWOkWidPnsTYsWPRuHFj1lEIURqNGjXC+PHj5eJ+Y8HBwRg2bBht44SQBtPQ0ICDg4PcnaqYnZ2N3bt3Y82aNayjECXWuXNnfPHFF1i7dm29Xk/FGPlEXl4ezp8/T+dWE8KBKVOm4NKlS8jKymKWQSgU4vz58xg1ahSzDIQQ5WJvb4+LFy+ivLycdZRKe/bsgbGxMZ3lQzi3bNkyRERE4M6dO3V+LRVj5BOnTp1Cs2bN6DoSQjgwfPhw6OjowM/Pj1mGR48eITMzE7a2tswyEEKUy9ChQ/H69WskJiayjgIAKCoqws6dO/Htt9+Cx+OxjkOUXLdu3SAQCLBp06Y6v5aKMfIJX19fjBs3DpqamqyjEKJ01NXVMX78eJw8eZJZhujoaGhra8PMzIxZBkKIcunRowf09PQQFRXFOgoA4OjRo2jUqBFmzZrFOgpREe7u7jh58iTS09Pr9DoqxsgHioqKEBERQacvEcIhgUCAK1euID8/n0n/MTExsLKyopu5E0KkysbGBtHR0axjAAB27NiBuXPn0o5lIjO2trYwNzfH3r176/Q6+ktMPhAeHo7y8nI4ODiwjkKI0ho2bBjU1NQQFhbGpP/o6GhYW1sz6ZsQorxsbGwQExPDOgZiY2Nx//59zJ49m3UUomLmzJmDgwcPoqysTOLXUDFGPhASEoKBAwdCW1ubdRRClFazZs0wdOhQJjOPZWVl4fHjx7CxsZF534QQ5WZjY4O0tDQ8e/aMaQ5PT084Ojqic+fOTHMQ1fP555/jzZs3CAgIkPg1VIyRDwQHB2P06NGsYxCi9BwcHJjckyc2Nhbq6ur47LPPZN43IUS5WVpaokmTJkyvG3vz5g18fX0xZ84cZhmI6tLW1sakSZOwf/9+iV9DxRip9OTJEyQnJ8PR0ZF1FEKUnrOzM/7++28kJCTItN+YmBiYm5ujefPmMu2XEKL8NDU10b9/f8TGxjLL4OfnB01NTYwZM4ZZBqLa/vWvfyE0NBSvXr2SaHkqxkil8PBw6OjowMLCgnUUQpSeiYkJDAwMcOnSJZn2Gx8fD3Nzc5n2SQhRHRYWFoiPj2fWv4+PD8aPH08TdxBmhg4dCj09PYlvYUPFGKkUExMDa2truh8HITJia2sr85nHEhISaIcLIYQzfD5f5kf8RbKzsxEeHo4pU6Yw6Z8Q4J9b2Li6usLHx0ei5akYI5VExRghRDasra1lWozl5ubi+fPn4PP5MuuTEKJa+Hx+5Vgja6dOnYK2tjbs7Oxk3jchVU2ZMgVRUVF4+fJlrctSMUYAABkZGUhKSqIZ1giRIRsbGzx//hypqaky6S8uLg4AqBgjhHDGzMwMPB6PyamKZ86cwejRo6GhoSHzvgmpytbWFq1atZJoVkUqxgiAf46KaWpqYsCAAayjEKIy+vXrh6ZNm8rs6FhCQgIMDAygp6cnk/4IIaqnRYsWMDIywt27d2Xa7/v37xEeHk6TkBG5oKamBicnJ4SEhNS+rAzyEAUQExODPn36QEtLi3UUQlSGhoYGLC0tcfXqVZn0l5CQQEfFCCGcY3Hd2OXLl1FSUkLFGJEbjo6OCAsLQ2lpaY3LUTFGAAB3795F3759WccgROX069ev8vRBriUmJqJPnz4y6YsQorrMzMyQmJgo0z6Dg4Px2WefQUdHR6b9EiKOk5MTCgoKar3vHhVjBMA/xRjtMSdE9mS5BzkpKQldunSRSV+EENXVvXt3JCcny7TPS5cuYfjw4TLtk5CatG3bFmZmZggPD69xOSrGCDIyMvDq1SsqxghhgM/nIz8/H+np6Zz28/btW+Tk5MDIyIjTfgghxMjICAUFBcjKypJJf/n5+UhISICtra1M+iNEUpLMmkzFGKncK0/FGCGy17t3b6ipqXE+85hoxkYqxgghXBONMykpKTLpT3Td7aBBg2TSHyGSsrGxwbVr11BWViZ2GSrGCBISEmBoaEjnWRPCQLNmzdClSxfOZx6jYowQIisdO3aEhoaGzG7bERMTAxMTE7Ru3Vom/REiKVtbWxQWFuL27dtil6FijODhw4fo2bMn6xiEqCwTExM8fPiQ0z5SU1NhYGBAM6YSQjinoaGBjh07yqwYu379Oh0VI3LJyMgI+vr6uH79uthlqBgjSE1Npb3lhDBkZGTE+Y8W2s4JIbIki3FNJC4uji61IHLL3Ny8xom6qBgjSElJoR9phDBExRghRNl06dIFT58+5byfrKwsZGRkUDFG5FZtsyZTMabiKioqkJ6eTj/SCGHI2NgYL168QElJCWd9ZGRkQF9fn7P2CSGkKn19fZnMpij6kWthYcF5X4TUB5/PR2JiIioqKqp9nooxFSf6AUjFGCHsGBsbo6KiAmlpaZz1kZOTA11dXc7aJ4SQqtq0aSOTYuzevXto164dTUJG5Fbv3r3x9u1bsX/jqRhTcaJTo+hGsISwY2xsDIDbaaCpGCOEyJKOjg6ys7M57yc5OblyDCVEHol+Y4v7G0/FmIrLyMgAj8eDnp4e6yiEqCxtbW00adIEGRkZnLQvFAqRm5tL2zkhRGbatGmDoqIiFBUVcdoPXQ9L5J2uri5atGhBxRipXk5ODnR0dKCurs46CiEqTUdHBzk5OZy0nZOTg4qKCjqNhxAiM23atAEAzo+OUTFGFEFNE3VRMabisrKy5PoHWn5+Pjw9PcHj8cDj8XDixAnWkaQuPT1dZn2pwvqsiSzXdV3p6ekhNzeXk7ZF7SriaYqq/p2VJ6LPoCpZbFOq/h2Q53GrJqLxhutiLC0tTa6KMRcXF/B4PLi4uLCOwtzH393qxhBVYWRkRNeMkerl5ubK9Q80Ly8vzJs3r/K/nz9/zjCN9G3ZsgWdO3eWWX/Kvj5rIut1XVe6urqcXewuOuLWtm1bTtrnkip/Z+WdrLYpVf4OyPu4VRPRjl6ujvgDQElJCfLy8uTmFOz4+HgEBgYCAAIDAxEfH884ETuK/N3lQtu2bcVeiqAh4yxEzuTk5FSeSiCP3N3dAQCvXr1SyB+StRG9P1n3p6zrsyayXtd1xeVpiqIjY82aNeOkfS6p8ndW3giFwg/+W1bblCp/B+R93KqJaEfv27dvOetDNGbKy07l69evAwC8vb0xbdo0XL9+HX369GGcio3qvrsfjyGqRFdXF3FxcdU+R0fGVFxubq5cn6Yoomp/gLlG61P+6Orqcnaaokjjxo05bZ9L9J0l9B1QTFxO4CEqxuThyFh+fj7mzZsHgUCAqVOnQiAQYN68ecjPz2cdjcgBPT09sTtcqRhTcYWFhXK7t7zqecUfn2ccHx+PLVu2VD7u4uLS4OsIJG0zPz8fJ06cqDwvfMGCBXj8+PEn2as7L7rq4zW9PwAIDw/HggULKrOEh4c36P3V1l/V9yTuvYtel56eDhcXF/z000/1yizJOgQk/0yq9svj8fDTTz99cHpIbe9dHjRp0oSzmz6/e/eusg9FIusxQNLvJVC37QX455Ql0bKi05hE7Yi7Fkqar6/pcdF/Z2ZmVq7T6t5TbeOXi4sLFixY8El/+fn5leuzrmjcEv/eFUGzZs3E3uhWGkTXo8nDTuVbt24BAObOnfvB/4oe/1htn39dlqvrtg40fEz5eLmqRae4PsXlrMt2XNs4Jek6kzUdHR3xlyIIiUqztbUVLliwgHWMagH45J9QKBQGBARU+xwAobe3d736qkubAoGg2uXi4uI+yS7uPdX0/oRCoXDVqlXVPr9q1ap6vT9p9Vf18Y/XTV0yS7IOJf1MalouLCys1vcuL1asWCHs27cvJ20fO3ZMyOPxOGmbS7IcA4RCyb6XQmHdt5fq8sbFxVXbTtX80nq9uPX68X9X9/7FtSdue6tufcXGxla+j7qicUu+x63aaGtrC/fs2cNZ+2fPnhUCEL57946zPiQ1f/58IQDhq1evhEKhUPjq1SshAOH8+fM/WVaSz78uy9V1W+diTBIIBJ8s9/F3t7qcdd2OaxunJF1nsnbixAmx27DibdlEqqysrITLly9nHUOs6jZc0WOxsbGVj6WlpTXoj5WkbYo28lWrVgnz8vKEQqFQ6O3t/cmAW9eBsSrRD5qqfeTl5VUOWB//0KnP+xTXX1paWuV7F/VX3YD/8Q/eumSu6zqs7TMR/bcou1D4/z/+JPlM5MXKlSuFfD6fk7b/+usvoba2Nidtc01WY4Ck38v6bC9V2xS9vqbHpf36j9Wln+p+YNXUvkAg+ORH1ObNm4UAhI8ePRKz9mtG45b8jlu1adu2LafF2MmTJ+Vi/Yg+44+/+6LvUtXPWSis++df3+8JV2OKQCCQeLurKY+0xtPqxqna1pmsiXYcFBYWfvIc+28wYYrP5wtXrFjBOoZYNf0hevXqlTAuLk4YEBDwwZ6VhqitzY/3fNU1tyQ/ZkT9igYbkby8PCEA4ebNm+vz1sT2J3pPH/+xEP1xqW7A//j91yWzpOtQpLbPRLSXbPPmzcKwsLBPMtT03uXJhg0bhD169OCk7T179ihVMSYizTFA0u+lNLYX0eMff1fFjQ8Nff3H6tpPXdoX/Tiqun4+/rFUVzRuye+4VRtDQ0Phxo0bOWv/2LFjcrF+RIV51SJcKPz/IkDcGTa1ff4N/Z5wNaZ8vGOlpu2upvakOZ6KSLrOZE1UjFWXh/03mDDF5/OFa9asYR1DLHEDjLjD2g0ZlCVpU9I+GlKMicsgjfcoyeBY17x1zVyX9yDJZxIXF/fB4wKBoNpTEeT9R82GDRuEhoaGnLS9e/duYfv27Tlpm2uyGgMaum1X95yk4wDr19d3OXGvEwgElYWMaPv08PD4ZDlJ0bglv+NWbYyNjYUbNmzgrP3Dhw8LW7RowVn7kqrr321JP/+Gfk9kNaZIuqy026vucUnXmaxduXJFCECYlZX1yXM0gYeKe//+vcLNsObp6Yn169dj/vz5CAsLQ1xcHF69eiV3bZKGkfQz6dOnD4RCIeLi4rB582YEBgZixIgRcHFxYX7Bbl1oaWlx1vbbt2+hoaE8dzKh7VW+zZ07F+7u7sjMzMSDBw8AAJ999hnjVLKhauNWbZo3bw6hUMhZ++/evYOaGtufspJ+XlWXk/TzV5XviTTJ+zorLCz89EGZloVE7vD5fOHPP//MOoZYkHCPqOi0kvp+pSVtsyGnKYou5kUte3pEfXBxaL2m/j4+TeDRo0dCQLLz0uuSuSHrUJLPOS0trU7Xz8gLLo+M7dmzR2hgYMBJ21yT1RjQ0NMU67K9SPo4F6+XdBySpD1xrxN9Ft7e3pWnDDUEjVvyO27VpnPnzpweGTt69KiwWbNmnLUvCXHXhYmIu57s42Wq+/wlXU7a27q4x0X/LW67q/oeJRm7uRxPRSRdt1y7fPmyEIAwJyfnk+foyBjhbDptrommFM7Pz8fmzZtl0ubQoUMBADt37qycxlU0vWvVaZsFAgEA4OrVq5Xt7dy5U2y/VaeEnTRpEgBg8+bNyMzMrHw8PDwcPB4PW7Zsqdd7E0fUn6enJ9LT0wEA6enpOHLkCADA2dlZ4jYkySzpOhSp7TMRTV8rWteGhobo1q2b2KzyfM+Xpk2bctY2l/f6YUWaY4Ck30tpbC+yUtdxqL4+3qa0tbUrb3obGBiIVatWSb1PGrcUg1AoRKNGjThrn8fjoaCggLP2a5OZmVl5JNTQ0LDaZQwNDTF//nysX7++8nsm6ecv6XKy2tZFxG13w4cP/2TZmr67XIyndd22ZEV083N1dfVPn5R9bUjkiY2NjdDd3Z11DLFQzZ4M0YWy4v7VZ8auurQpyfTG1bUnmlGs6vup2lbVPUDirjkQCAQSX0BenerWZ039iZtatjp1yVzfdVjdZyK6QLq6f1WvUxG3ruXFihUrOJtN8dChQ8KWLVty0jbXZDUGCIXcTW0vyXuq7vGGvl7Scai+eWrapqoeDfp4UoO6onFLfset2rRp04bT2RT9/PzEfrayIJpls7ZZjkXXMYlu7yDp5y/pctLe1sU9XnUbq227q+67W10/0h5PJV1nsiaawKO4uPiT56gYU3HyfJ8xoVD8xufh4fHBBvvo0aMGXyguaZt5eXnVLvuxqqfoiF7/8fuJi4urPEz/8Wxj3t7elc+J2mhIIVZd/+LyCgSCau/XVNPr65JZ0nUo6Wfy8f1RVq1a9ck9jWpa1/JgxYoVQktLS07alpcZx+pDlmOApN9LobBh20tdf/g0pF1JxqH65qltmxItT+OW8o5btdHW1hbu3buXs/ZFP3DfvHnDWR81EQgEEn8uHy8ryedfl+Wkua2Le7zqf4uKvZomH/n4uyuuH2mPp5KuM1k6fvy42HGIJxRyeGUlkXv29vbo3r079uzZwzoKISptyZIluHPnDq5cuSL1tk+ePInJkydzeiE9IVU9fvwYPXv2xPz587F3717WcQgjTZs2hZeXFz7//HNO2r9y5QqGDBmCly9fwsDAgJM+yP/j8XgAQH9L6sHLywvu7u7Iy8v75Dm6ZkzFNW3atPI8VkIIO0VFRWjSpAknbYuuRat2FidCOCC65mP+/PmMkxCWuL5WtU2bNgCA7OxsTvshpKFycnIqv68fU565jkm96Orq4uXLl6xjSJ1o740kFHUPjyq8R1WSm5sLHR0dTtoWTf1cWlrKSfvyiLYPNqqu91WrVqFPnz5in68NfS6Krby8HMA/09tzRVdXFwAVY0T+ZWVlif0bT0fGVJyOjg5ycnJYxyBE5eXm5qJt27actC36A1Dd6RGESJNoVrfNmzdj3bp1jNMQlnJzcwFwW4yJxjb6HUPkXU07XOnImIpr06ZN5YCpTFRhj6oqvEdVkpmZydmRMdHe45ycHHTu3JmTPuQNbR9sBAQE1Pg8fS6qQ/TbQtypWdKgoaGBNm3afHBrAsId2n7rLyMjA+3bt6/2OToypuLatGlDh/cJkQO5ubmVRZO0VS3GCCFEFkS/LfT09Djtp3PnzkhNTeW0D0IaKjU1FUZGRtU+R8WYitPR0UF+fr5KXUtCiDzKycnhrBhr3bo1NDQ0qBgjhMhMVlYWAHB2xF/E2NiYijEi96gYI2KJDpkq4yQehCiK7OxslJaWokOHDpz1oaurW/njiBBCuJabm4tmzZqhcePGnPZjZGRExRiRay9fvkRRURGMjY2rfZ6KMRUnqtJpICOEnadPnwKA2L1m0kCT9RBCZInLSYmq6tKlC5KTkznvh5D6Ev2N79q1a7XPUzGm4gwMDKClpUXFGCEMpaamQkNDAx07duSsDz09PaWcrIcQIp8yMzM5O/W6Kj6fj5ycHDx//pzzvgipj3v37kFHR4cm8CDi0SF+QthKTU1Fx44doaHB3QS3BgYGdDoyIURmXr58iXbt2nHeD5/PBwAkJCRw3hch9ZGQkFD5Pa0OFWMERkZGSElJYR2DEJVV04W90kLbOSFElmQxrgGAtrY2jI2NqRgjcisuLo6KMVIzOjJGCFspKSlizyWXFtrOCSGyJKtiDADMzc0RHx8vk74IqQuhUIiEhASYm5uLXYaKMQJTU1Pcu3ePdQxCVNb9+/dhamrKaR9GRkbIycnB27dvOe2HEEJKSkrw4sULsbPHSdvAgQNx7do1mfRFSF08fPgQ+fn5GDRokNhlqBgj4PP5yMrKQkZGBusohKic/Px8pKen13gKgzTQzKmEEFlJT09HRUWFzI6M2djYICkpiX7HELkTHR2NVq1aoXfv3mKXoWKMoE+fPgDo4ldCWBBtd1SMEUKUhWgqb1kdGRswYAA0NTURExMjk/4IkVR0dDSsrKygpia+5KJijKBVq1YwNDSkYowQBuLi4qCnpwcDAwNO+9HS0kK7du2oGCOEcC4lJQWtW7dGq1atZNKflpYW+vbti+joaJn0R4ikrly5gsGDB9e4DBVjBMA/e+Xp4ldCZK+2KW+lqWvXrnj8+LFM+iKEqK7k5GTOJyX6mL29PS5cuCDTPgmpSVpaGpKTk2FnZ1fjclSMEQCAhYUF4uLiWMcgROXExcXBwsJCJn3x+Xw6Ak4I4ZwsdzKJODo6IiEhAS9evJBpv4SIc+7cOejp6WHAgAE1LkfFGAHwz8WviYmJyM/PZx2FEJVRWFiIuLg42NjYyKQ/c3NzKsYIIZxLSEiovB5dVqysrNC6dWucO3dOpv0SIk5oaCjs7e1rvF4MoGKM/I9oys2rV68yTkKI6rh58yZKSkpkVoz16dMHubm5eP78uUz6I4SoHtEYI+sjY+rq6hg5ciTOnz8v034Jqc779+8RFhYGZ2fnWpelYowAAFq3bg0TExOaiYgQGYqKikK3bt2gr68vk/7MzMzA4/Ho6BghhDOymiG2OuPHj0dwcDAKCwtl3jchVV28eBElJSUYPXp0rctSMUYq2draIioqinUMQlRGdHQ0bG1tZdZfixYtYGRkRNeHEkI4k5CQAAMDA+jp6cm8b4FAgIqKCgQHB8u8b0Kq8vX1hYODg0QzilIxRipZW1vj+vXrKCsrYx2FEKVXUVGB2NhYWFtby7RfmsSDEMKluLg4JkfFAKB58+ZwdnaGj48Pk/4JAf45RfH06dOYPHmyRMtTMUYqjRw5EgUFBXTdGCEycOvWLbx+/RojR46Uab80cyohhEtxcXHo27cvs/6nTJmCoKAgFBQUMMtAVFtwcDDev3+PsWPHSrQ8FWOkUvv27cHn8+nwPiEyEBISgl69esHY2Fim/dra2uLBgwfIzc2Vab+EEOVXWFiI+Ph4mR/xr0ogEEBLSwu+vr7MMhDVdujQIbi6uqJly5YSLU/FGPmAs7MzQkJCWMcgROmFhITA0dFR5v0OHDgQampqiI2NlXnfhBDldvXqVZSXlzMtxho3boyZM2fCy8uLWQaiujIyMnD27Fm4ublJ/BoqxsgHHB0dcefOHbx69Yp1FEKUVm5uLq5duybRlLfS1rJlS5iZmdHMqYQQqYuOjkaPHj2YTN5R1Zw5cxATE4PExESmOYjqOXjwIAwNDWFnZyfxa6gYIx+wsbFBy5Yt6egYIRy6cOECNDU1MXjwYCb929raIjo6mknfhBDlFR0dLbP7Jtakd+/esLGxwf79+1lHISpEKBRi//79mDNnDng8nsSvo2KMfKBRo0ZwdHREYGAg6yiEKK2zZ8/C3t4eWlpaTPq3trbGjRs3UFpayqR/QojyKS8vx9WrV+WiGAOAJUuW4MCBA8jLy2MdhaiIgIAAPH/+HHPnzq3T66gYI5+YPHkygoOD8e7dO9ZRCFE6xcXFCAgIkHjKWy5YW1ujsLAQd+7cYZaBEKJcEhMTkZ+fLzfFmKurK/T09OjaMSIz27Ztw5w5c9CmTZs6vY6KMfKJUaNGQU1NjY6OEcKB4OBglJSUwMXFhVkGIyMjdO7cGZGRkcwyEEKUy+XLl9G+fXv07NmTdRQAgIaGBr755hvs3LmT7p9KOHf9+nVERkZiyZIldX4tFWPkE02bNoVAIMDJkydZRyFE6fj6+sLZ2RktWrRgmsPZ2Rnnzp1jmoEQojxCQ0Nhb2/POsYHvvzySxQUFODYsWOsoxAlt2nTJkycOBHdunWr82upGCPVEp2q+ObNG9ZRCFEahYWFCAwMxJQpU1hHgYODA6Kjo+l0ZEJIgxUVFeHSpUtMZoitSfPmzbFs2TL8+uuvdHSMcObu3bs4ffo0fv7553q9nooxUq1Ro0ahSZMmOHPmDOsohCiNwMBA8Hg8jB49mnUUjBw5EgBw8eJFxkkIIYouMjISJSUlleOKPFm0aBHevHmDI0eOsI5ClNTPP/+MSZMmoXfv3vV6PRVjpFqNGzfG559/The+EiJFXl5emDp1Kpo1a8Y6Cpo3bw4bGxucP3+edRRCiII7d+4cBg0aBB0dHdZRPtGsWTMsX74c69atQ0lJCes4RMncunUL586dw+rVq+vdBhVjRKx58+bhypUrePToEesohCi8lJQUhIeHY86cOayjVHJ2dkZQUBDrGIQQBXf+/Hk4OjqyjiHWggULUF5eDg8PD9ZRiJL58ccfMWvWrAZNXEPFGBGrT58+6N+/Px0dI0QK9u/fj969e2PgwIGso1RydHREeno6Hjx4wDoKIURBPX36FA8fPpS768WqatKkCTZv3ow1a9YgJyeHdRyiJAICAnDt2jX8+uuvDWqHijFSo7lz5+LQoUN0aJ+QBigrK8PBgwcxb9481lE+wOfz0bVrV7o2lBBSb2fOnEHHjh3Rt29f1lFqNHHiRJiamuKXX35hHYUogffv38Pd3R0///wz2rZt26C2qBgjNZo2bRqKiopw6tQp1lEIUVjn8wzwogAAIABJREFUzp1Dbm4upk+fzjrKJyZPngxfX1/WMQghCsrX1xeTJk2Cmpp8/6Tk8Xj4888/sW/fPty9e5d1HKLg/vzzTwD/TBDTUDyhUChscCtEqS1duhSxsbGIjY1lHYUQhTR8+HD07NkT+/btYx3lE/Hx8bCwsMCjR4/Qo0cP1nEIIQokLS0NxsbGiI2NlatTsGvy1Vdf4c6dO4iNjYW6ujrrOEQBJSUlgc/nw8/PTyqn58r3bgwiF7799lvcvHkTV69eZR2FEIVz584dREZGwt3dnXWUavXp0wc9e/aEj48P6yiEEAVz8uRJdO7cGZ999hnrKBLbuHEjnj9/jh07drCOQhSQUCjEvHnzMG7cOKldJ0nFGKmVoaEhXF1d8fvvv7OOQojC2bhxIwQCAbp168Y6ilh0qiIhpD58fHwwefJk8Hg81lEk1qpVK+zcuRM//fQTUlJSWMchCmb//v2Ij4/H9u3bpdYmnaZIJHL79m0MGDAAjx49kusflYTIk/T0dHTt2hWRkZGwsrJiHUesxMRE8Pl8JCYm1vumlYQQ1ZKcnIxu3brhxo0b6N+/P+s4dTZhwgRkZmYiIiKCTlckEklOTkbfvn2xc+dOzJo1S2rt0pExIpF+/fphyJAh2LZtG+sohCiMrVu34rPPPpPrQgwAzMzM0Lt3bzpVkRAiMR8fH3Tt2lUhCzEA2LNnD5KSkho8LTlRDWVlZZg+fTrs7OykWogBVIyROli9ejW8vLzw7Nkz1lEIkXsZGRnw8PDAzz//zDqKRGbPno3Dhw+joqKCdRRCiJwTCoU4dOgQZs+ezTpKvenr6+PAgQNYv349rl27xjoOkXNr165Feno69u/fL/W26TRFUicjRoxA9+7d5XJWOELkyZIlS3Dnzh1cuXKFdRSJZGdno0OHDjhz5gycnJxYxyGEyLHLly9j5MiRSEtLQ/v27VnHaZDFixfj7NmzuHnzJnR1dVnHIXLowoULcHZ2RkhICEaMGCH19qkYI3USExODYcOG4dGjRzA2NmYdhxC59OzZM3Tv3h3BwcEYNmwY6zgSmzp1KkpLS+Hn58c6CiFEjs2YMQNv375VihvGFxcXw9raGm3btkVQUBBdP0Y+kJ6ejv79+8PNzQ0bNmzgpA8qxkidjRo1Cu3atcOBAwdYRyFELs2fPx+PHz9GeHg46yh1cvHiRTg7O+Pvv/+Gvr4+6ziEEDn0+vVrdOjQAb6+vhgzZgzrOFKRmpqK/v37Y8GCBVi3bh3rOEROvH//Hra2tmjdujWCg4M5K9TpmjFSZ+vWrcPRo0fx+PFj1lEIkTtPnz7FX3/9hfXr17OOUmcjRoxAp06dcPDgQdZRCCFy6siRI9DR0VGq05mNjIxw7Ngx/P777zh9+jTrOEROuLm5ITMzE8eOHeP0iCkVY6TO+vfvj6lTp8rtTWwJYWn58uUYO3YsrK2tWUepMx6Phzlz5mD//v2gkyYIIdXx8vLCF198AQ0NDdZRpMrR0RHr16/H9OnTaUIPgt9//x2nTp2Cn58f9PT0OO2LTlMk9fL8+XP07NkT/v7+cHBwYB2HELkQERGBUaNG4eHDh+jcuTPrOPXy8uVLGBkZISAgAI6OjqzjEELkSHR0NIYNG4bk5GQYGhqyjsOJ+fPnw9/fHzExMXRfVRV17NgxfPHFF/Dz84OLiwvn/VExRupt3bp18PHxQVxcnNLtISOkrsrLy9G/f38IBAL88ssvrOM0yLx585Ceno6QkBDWUQghcmTcuHHQ0tKCt7c36yicKSkpwahRo5Ceno6YmBjOj4oQ+RIWFgZnZ2f88ccf+Oabb2TSJxVjpN6Ki4vRs2dPLFu2DIsWLWIdhxCmPD09sXbtWjx8+BDNmzdnHadB7t+/Dz6fjzt37sDc3Jx1HEKIHEhKSkLPnj1x8+ZN9O3bl3UcTuXn52Po0KGoqKjA5cuX0bp1a9aRiAzExMTA3t4ebm5u2LFjh8z6pWKMNMjJkycxb9483Lt3T+HvNUJIfWVmZsLExATbt2/HjBkzWMeRitGjR6NNmzY4dOgQ6yiEEDnw1Vdf4fHjx7h06RLrKDKRlZWFIUOGQFtbG6GhodDW1mYdiXDo9u3bsLOzg6urK/bv3w8ejyezvqkYIw3m6OiI5s2b072JiMr6/PPPkZGRgbCwMJkO4FyKiIiAo6MjUlNT0a5dO9ZxCCEMZWdnw9DQEP7+/ko1i2Jtnj17hmHDhqF9+/YICgpCixYtWEciHIiLi4ODgwOGDx+O48ePy/xeczSbImmwffv2ITQ0FP7+/qyjECJzQUFBOHXqFDw8PJSmEAOAYcOGoXfv3ti2bRvrKIQQxnbt2gVjY2OVm9SnY8eOuHDhAtLT0zFy5Ei8fv2adSQiZVevXoWdnR2sra1x5MgRJjf9pmKMNJixsTHWrVuHxYsXIy8vj3UcQmTm3bt3+Prrr7F69WqlnHVr2bJl8PDwwJs3b1hHIYQwUlhYiN27d8Pd3V2pdjhJytjYGJGRkXj9+jWGDx+OzMxM1pGIlERERMDe3h6Ojo44efIkNDU1meSgYoxIxZIlS9ChQwd8//33rKMQIjPLly9H69atlfaee1OmTEGHDh2wfft21lEIIYzs2rULrVq1wsyZM1lHYcbQ0BCRkZEoKyvD4MGDkZyczDoSaSA/Pz84OztjypQpOHr0KBo1asQsCxVjRCrU1dWxf/9+HD16FKdOnWIdhxDOBQUFwdPTE15eXkp7awc1NTWsXr0aW7ZsodNzCFFBb9++xR9//IHVq1cr7TgnKQMDA1y+fBm6urqwsrJCbGws60iknrZs2YLJkydj4cKF8PT0ZHJqYlVUjBGp4fP5WL9+PebOnYvnz5+zjkMIZ169egU3NzesXr0a/fv3Zx2HUxMnToSxsTG2bNnCOgohRMa2b9+Otm3bYtq0aayjyAVdXV2EhYVh6NChGDFiBP773/+yjkTqoLy8HAsXLsTy5cuxc+dObNq0SS5OvaXZFIlUVVRUwMHBAQBw4cIFufiSEyJNQqEQo0ePxrt373Dp0iXme9RkISAgADNmzEBycjLdAJUQFZGXl4cuXbpg3759mDx5Mus4cqWiogLLly/Hli1bsHLlSqxdu1Yl/hYosqysLEydOhXXr1/HiRMnMHr0aNaRKtGRMSJVampqOHToEO7cuUN70olS2rVrF2JjY5nNusSCQCCAiYkJNm3axDoKIURGtmzZgk6dOmHixImso8gdNTU1bNq0Cfv378eWLVswZswY5OTksI5FxLh27Rr69euH9PR0REdHy1UhBtCRMcIRf39/TJs2DeHh4bCxsWEdhxCpuHHjBmxtbXHw4EGVO20nNDQUrq6uSE5OhoGBAes4hBAOZWdno2vXrjh8+DDGjh3LOo5cu337NiZMmAAejwdvb28MHDiQdSTyP0KhELt27cKyZcvg4OCAw4cPo1WrVqxjfYKKMcKZJUuWwM/PD7du3aIfb0ThZWVlwdLSEk5OTvDw8GAdhwlHR0d06tQJXl5erKMQQji0cOFC3L9/H5cuXWIdRSHk5ORg5syZuHDhAlavXo0ff/xRZc6ckFeZmZmYPXs2QkNDsWbNGqxcuVJuL52hYoxwpqSkBHZ2duDxeAgLC2N2/wZCGqq8vByOjo548+YNoqKiVPa7/ODBA1hYWCAmJgaWlpas4xBCOJCYmIj+/fvj6tWrsLCwYB1HYYiOwvzwww+wtLTE0aNHYWRkxDqWSgoODsaXX36JZs2a4ejRo7CysmIdqUZ0zRjhjKamJnx9fZGUlIQffviBdRxC6m3lypW4e/cu/Pz8VLYQAwATExPMnz8f3333HWg/HiHK6dtvv8WsWbOoEKsjHo+HxYsX48aNG3jz5g34fD62bduGiooK1tFURk5ODmbNmgVnZ2c4ODjgzp07cl+IAVSMEY61b98evr6+2Lt3Lw4fPsw6DiF1duzYMWzduhXe3t7o1KkT6zjM/fzzz7h//z5OnjzJOgohRMpOnz6NW7duYf369ayjKCwzMzPcvHkTS5cuxfLly2FlZYWEhATWsZTe8ePHYWJigrCwMJw5cwaHDx9Gy5YtWceSCBVjhHODBw/Gtm3bMHfuXISHh7OOQ4jEwsPDMXv2bGzYsAEjRoxgHUcu6OrqYs2aNVi2bBmKi4tZxyGESMn79++xbNkyrFq1im5h0UCamppYu3Ytbt++DXV1dfTv3x/u7u7Iy8tjHU3pJCYmYvjw4Zg5cyYmTZqE+/fvw8XFhXWsOqFijMjEggUL8M0338DV1ZX2EBGFkJSUhKlTp8LNzQ3u7u6s48iV+fPno2XLlvjtt99YRyGESMmmTZugpqaGJUuWsI6iNHr37o2oqChs27YNhw4dQvfu3bFnzx6UlZWxjqbwsrOzsXDhQvTt2xeFhYWIjo7G7t27FeZoWFU0gQeRmfLycri6uuL27duIjY1Fx44dWUcipFpZWVmwtraGqakp/P39aVasaoSHh8PZ2Rk3b96EmZkZ6ziEkAZ49OgRLCwscPr0aTg6OrKOo5Ty8vKwfv167Ny5E926dcOaNWswceJEuZ3hT169ffsW27Ztw9atW6GlpYX169fjiy++gJqa4h5fomKMyFRhYSHs7OxQVlaGsLAwaGtrs45EyAfevn0Le3t7vH//HtHR0WjatCnrSHLLzc0N9+/fR1RUFBWshCgooVCIoUOHwtDQEEePHmUdR+klJSXhp59+gq+vL/h8PtatW4cxY8ZQUVaLgoIC7Nq1C5s3b0ZpaSm+++47fP/992jevDnraA2muGUkUUhNmzZFYGAg8vPz4ezsjMLCQtaRCKlUWFiIsWPHIjMzE4GBgVSI1WLz5s1ITU3F7t27WUchhNSTp6cnHjx4gG3btrGOohK6desGb29vxMfHo2vXrhg7diz69euHo0ePoqSkhHU8uZOZmYnVq1fDyMgI69evx7x585CSkoLVq1crRSEG0JExwsjff/8NW1tbdOvWDUFBQWjSpAnrSETFlZSUYPz48bh79y4uXbqEbt26sY6kEE6ePInZs2fj3r17MDQ0ZB2HEFIHL168gKmpKXbt2oUZM2awjqOS4uLisGXLFvj4+EBPTw9LlizB3LlzoaOjwzoaU6IdBKJZERcuXIiFCxdCV1eXdTSpo2KMMJOUlIQhQ4bA0tJS5e/fRNgqLy/H1KlTcfnyZURERMDU1JR1JIUybtw4lJaWIigoiHUUQkgduLq6orCwECEhIayjqLy///4bO3bsgKenJ4qLi+Hq6oo5c+Zg+PDhKnMKY0FBAU6ePAlPT0/ExMSge/fu+O677zBr1iylPlOFijHCVGJiIuzs7DB48GB4e3tTQUZkrqysDLNmzUJQUBAiIiLoRqf18OzZM/Tu3Rtbt26Fm5sb6ziEEAkcO3YM8+fPR0JCAoyMjFjHIf9TVFQEX19feHl5ISoqCl27dsW0adMwefJk8Pl81vGkTjSHgK+vL/z8/FBcXIyJEyfCzc0Nw4YNU4lClIoxwtzt27fh4OCAzz77DH5+ftDS0mIdiaiIkpISTJkyBZcuXUJoaCgGDhzIOpLC2r9/P7799lvcunULPXr0YB2HEFKD1NRU9OnTB7///jsWLFjAOg4R4+HDhzh06BB8fHyQkpICU1NTTJo0CaNHj4alpaXCziBYWFiIiIgIBAQEwM/PD7m5ubC2tsbUqVMxbdo0lTtFk4oxIhcSExNhb2+PXr16ITAwUGkuyiTyq7CwEOPHj8ft27cRGhqKfv36sY6k8CZNmoS0tDRER0ejUaNGrOMQQqpRXl6OoUOHonXr1ggICFCJIw/K4MaNG/D19cXp06eRlJQEfX19jBo1Cvb29hg8eDA6derEOqJY5eXlSExMRHh4OEJCQhAZGYnS0lIMHDgQEydOxKRJk1T6dkdUjBG58fjxY9jb26N9+/Y4d+4cWrduzToSUVJv3ryBQCDAkydPEBYWBhMTE9aRlEJubi7Mzc0xa9Ys/Prrr6zjEEKq8csvv2Dv3r2Ij49H27ZtWcch9ZCUlISQkBAEBwcjIiIChYWFMDQ0hI2NDaytrWFhYQE+n8/s9kF///03EhMTcfPmTcTExCA2Nhb5+fkwMDCAk5MTnJycYG9vr3JHwMShYozIlbS0NIwYMQJaWloICgqi2dmI1L148QKjR49GXl4eLl68iK5du7KOpFTCw8Ph5OSECxcuYOjQoazjEEKquHr1KoYMGYIzZ85g1KhRrOMQKSgtLcWNGzcQGxuLqKgoxMTEIDMzEwBgZGQEMzMzdO/eHUZGRjA2NoaxsTE6dOjQoB3eZWVlyMnJQWpqauW/lJQUPHz4EHfv3sXr16/B4/HQo0cP2NjYwMbGBra2tnQKuxhUjBG58/LlSwgEArx48QKBgYGwtLRkHYkoiYSEBDg7O6N169Y4d+6cSp8WwaUffvgBvr6+uHPnDh3hJkRO5Ofno1+/fhgzZgy2b9/OOg7h0IsXL5CQkIC7d+8iISEBSUlJSElJQUZGRuUy6urq0NXVha6uLnR0dCqv12/VqlXlqaslJSUoKCgA8M/35/Xr18jKykJ+fn5lO40aNUKnTp1gZGQEExMT8Pl8mJubw8zMDC1atJDhu1ZcVIwRufTu3TtMmzYNERER8Pb2xpgxY1hHIgru/PnzGDt2LIqLi7F7927Mnz9fYS9+lnclJSUYNGgQ9PX1cfbsWairq7OORIhKEwqFcHV1RXJyMq5fv0739lRRRUVFSElJwYsXL5CdnY2cnJzKf8XFxRAKhcjLy6tcXkNDo7KgatGiBXR1daGnp1dZxBkaGqJTp040xjcQFWNEbpWXl+Obb77Bvn37sHXrVixZsoR1JKKgPDw8sHDhQowcObLyfjpmZmbYuXMnhg0bxjacknr69Cn69++PxYsXY+3atazjEKLS1q9fj82bN+P69et0qhghcoZ2CxO5pa6ujl27duGPP/7A0qVLMWvWLBQVFbGORRRIcXEx5syZgwULFmDdunUIDg6u/CHy4MEDDB8+HGPHjkVSUhLjpMqnS5cuOH78OH777TecPXuWdRxCVFZoaCjWrl2LgwcPUiFGiByiYozIvaVLlyI4OBhBQUGwtrZGSkoK60hEAaSnp2Pw4MHw9/dHYGAgVqxYAQBYuHAh1NXVUV5eDgAIDg6GiYkJ3N3dPzg9gzSck5MTfvrpJ8yYMQNPnjxhHYcQlZOamorp06dj+fLlGDduHOs4hJBq0GmKRGGkpaVhwoQJSElJwdGjR2kmKCLWxYsXMW3aNHTs2BF+fn7o0qVL5XN5eXnQ19dHSUnJB6/R0NBA8+bNsWbNGixYsACampqyjq2UhEIhXFxckJqaimvXrqFp06asIxGiEoqKimBraws9PT0EBQXRdT2EyCk6MkYURufOnREVFYVx48ZhzJgxWLZs2Sc/qIlqKy0txcqVK+Ho6IhRo0YhOjr6g0IM+GemqGnTpn1yU+KysjLk5eVh6dKl6NGjB06dOiXL6EqLx+Ph6NGjeP/+PaZNm1Z5RJIQwh2hUIi5c+ciNzcXx44do0KMEDlGxRhRKE2aNMH+/fvx119/4T//+Q+srKzw4MED1rGIHHjy5AlsbGywY8cOeHh44PDhw2KPwixYsAClpaXVPldRUYG///4brq6uGDx4MO7cucNlbJWgra0Nf39/XL58Gd9//z3rOIQovZUrV+Ls2bMICAiArq4u6ziEkBpQMUYU0r/+9S/cuXMHmpqa6N+/P/bt28c6EmFo//796NevH4RCIW7fvg03N7calx84cCBMTU3FTm1fUVEBAIiKikK/fv3EFm5EcmZmZvD398fevXuxd+9e1nEIUVp79+7Fpk2bcOzYMfD5fNZxCCG1oGKMKKyuXbviypUrWLp0KRYtWgRnZ2ekpaWxjkVk6Pnz5xg7dizmzZuHRYsWISYmRuLZwhYvXlx5Y8vqqKmpQV1dHV5eXp+c0kjqx87ODgcOHMCSJUsQEBDAOg4hSicsLAyLFy/Gzp07MXr0aNZxCCESoAk8iFKIiYmBm5sbnj17ht9++w0LFy6kG/oqsYqKCuzbtw8//vgj9PX14enpiaFDh9apjbdv30JfX7/a2yVoaGhAU1MTp0+fhr29vbRik/9ZuXIltm/fjvDwcAwcOJB1HEKUQkJCAgYPHowFCxZgw4YNrOMQQiRExRhRGu/fv8evv/6KjRs3ol+/fvD09ISZmRnrWETKHjx4gHnz5uHq1atYtmwZfvrpJ2hpadWrra+++gp//fXXB6chNmrUCM2aNUN4eDj69u0rrdikCqFQiJkzZ+LChQuIjo5Gt27dWEciRKGlpKRgyJAhsLGxgbe3d41H/Qkh8oUOHRCl0bhxY/zyyy+4efMmAMDS0pLuHaVE3r17B3d3d1hYWKC4uBi3bt3Cb7/9Vu9CDPinGPu4EOvcuTNKSkrg6ekpjdikGjweDwcOHACfz4ednR3S09NZRyJEYT179gwODg7o0qULDhw4QIUYIQqGijGidPh8PqKjo/Hnn3/i0KFD6N69Ozw8PConZSCKpaKiAgcOHECPHj1w8OBB/Pnnn7h69SrMzc0b3Ha/fv1gYWEB4J9TEwcNGoQbN27A29sbHh4e+P333xvcB6mepqYmAgICYGhoiBEjRuDFixesIxGicLKysuDo6AgdHR0EBATQffwIUUBUjBGlpKamhq+//hpPnjzBv/71LyxcuBD9+/dHREQE62ikDiIiItC/f3989dVXGD9+PB4+fIivv/5aqvfMWbx4MQBg0qRJuHjxIlq1agUXFxfs3LkTK1euxLFjx6TWF/lQ06ZNERQUhFatWsHR0RFZWVmsIxGiMPLz8+Ho6Ah1dXUEBwdDW1ubdSRCSD1QMUaUWqtWrbBlyxbEx8dDX18fw4cPh729Pa5evco6GqnBjRs34OzsjOHDh0NfXx/x8fHYvXs32rRpI/W+Zs2ahcuXL+PYsWPQ1NSsfHzBggX49ttvMXv2bISHh0u9X/IPbW1tnDt3DjweD05OTsjPz2cdiRC5V1BQACcnJ7x79w4XL16Ejo4O60iEkHqiYoyoBFNTUwQHByM8PBzFxcWwsrLCmDFjcOvWLdbRSBXx8fFwcXHBwIEDkZeXhwsXLiA4OBimpqac9amuro4hQ4ZUe53Fpk2b4OTkBFdXVyQkJHCWQdXp6enh/PnzePPmDZycnPD69WvWkQiRW2/fvoWzszNevnyJ8PBwtG3blnUkQkgDUDFGVMrw4cNx5coVhISEICsrCwMGDMC4ceMQExPDOppKu379OiZMmIC+ffvi5cuXCAwMRExMDEaOHMk0l7q6Ory9vdGrVy84Ozvj2bNnTPMoMwMDA1y6dAnZ2dkYMWIEMjMzWUciRO7k5uZi5MiRSEtLQ1hYGDp27Mg6EiGkgagYIyrJ0dER165dw5kzZ5CVlQUbGxvY2NjA39+fJvqQkYqKCgQEBGDIkCEYOHAgnj17hlOnTuH69etydbPSpk2bIjAwEE2aNIGzszOdRsehjh07IjIyEu/fv8ewYcNoUg9Cqnj16hXs7Ozw+vVrREZGomvXrqwjEUKkgIoxotIEAgGio6MRHR0NAwMDTJo0CT179sSePXvoRzdH3r17h3379sHU1BTjx49H69atERkZiWvXrmHs2LFyOS2znp4egoODkZGRgZkzZ6K8vJx1JKXVrl07XL58GVpaWrC1tUVqairrSIQw9+zZMwwdOhTl5eWIjIyEoaEh60iEECmhmz4TUkVSUhK2bt2KI0eOoKKiApMnT8bcuXNhbW3NOprCu3r1Kry8vODj44Py8nLMnDkTS5cuRc+ePVlHk9i1a9dgZ2eHWbNmYc+ePazjKLW8vDyMHj0a6enpuHjxokJ9TwiRpuTkZIwcORJt2rRBSEgIdHV1WUcihEgRFWOEVOPNmzc4ceIEPD09cfPmTZiammLOnDmYOnUq2rVrxzqewnj16hV8fHzg5eWFhIQE9OvXD25ubpg+fbrCTsMcEBAAV1dXrF+/HitWrGAdR6kVFBTAxcUFd+/exenTp2FjY8M6EiEydf36dbi4uKB79+4ICgpCy5YtWUcihEgZFWOE1CIuLg5eXl44fvw48vPzMWTIEEyePBkTJ06Enp4e63hyJzs7G35+fvDx8UFkZCRatGiBKVOmYO7cubC0tGQdTyr27t2LhQsX4siRI5g+fTrrOEqtuLgYs2bNQkBAAA4dOoTJkyezjkSITJw6dQozZsyAo6Mjjh49Sjd0JkRJUTFGiIRKSkpw4cIF+Pr64syZM3j37h3s7Ozg4uICJycndOvWjXVEZlJTUxESEoLTp08jLCwMWlpacHFxwZQpU+Dg4IDGjRuzjih1P/74I7Zu3Yrg4GDY2dmxjqPUhEIhfvzxR/zxxx/YsGEDli9fzjoSIZzatm0b3N3dsXjxYmzevFmqN7onhMgXKsYIqYf3798jJCQE//3vfxEaGoqsrCx0794dY8aMgZOTEwYPHgwtLS3WMTlTVFRUeYuA4OBgPHz4EDo6OnBwcMCkSZMwatQopX7/wD8FwsyZM3H27FlcuXIFfD6fdSSl5+HhgYULF2L27NnYvXs3NDQ0WEciRKrKy8vx7bffYu/evdi2bRsWLVrEOhIhhGNUjBHSQBUVFbh16xZCQkIQFBSEa9euQUNDA5aWlrCxsYGtrS2srKxgYGDAOmq9ZWVlITo6GlFRUYiNjcWNGzdQXl4OS0tLODk5YdSoUfjss89Ubu9tSUkJRo0ahcePHyM2Npbu+SMDoaGhmDRpEqysrHDixAm0bt2adSRCpCI/Px8zZszApUuX4O3tDYFAwDoSIUQGqBgjRIpWrlyJDRs2wN7eHubm5oiKisLt27dRWlqKLl26oG/fvuDz+eDz+ejTpw+MjY2hpiY/d5gQCoV4+vQpEhISkJCQgLt37yI+Ph5PnjypLDCtrKxga2uLIUOG0DVz+OcH1ODBgwEAV67o4ZPDAAAgAElEQVRcUdiJSRTJ3bt3IRAIoKGhAT8/P1hYWLCOREiD3Lt3D66urigoKMCZM2eU5vpaQkjtqBgjREquX78OKysrVFRUYMmSJdi+fTuAf07pu3nzJqKiohAXF4eEhAQ8efIEZWVlaNasGXr16gUjIyMYGRmhS5culf+/Xbt2nOz1z8vLw8uXL5GSkoLU1NTKf0+fPsWjR4/w7t07qKuro1u3bjA3N4eFhQWsra0xYMAANGvWTOp5lMGzZ89gZWWFHj16IDg4GJqamqwjKb3s7GxMmzYNMTEx2LdvH2bOnMk6EiH14uPjgzlz5sDS0hI+Pj7Q19dnHYkQIkNUjBEiBUVFReDz+UhLS6u8P5m3t7fY5d+/f4979+4hISEBDx48QEpKSmVxlJWVVbmcuro6dHV1P/inqamJ5s2bo1GjRlBTU/vgSMybN29QXl6OsrIyvH37FqWlpcjJyfngX1lZWeXybdq0gbGxcWUBaGJiAnNzc/Tu3RtNmjThZmUpqYSEBAwePBhjxozBkSNH5PLm1cqmvLwcq1atwsaNG7Fo0SJs2bIFjRo1Yh2LEImUlZVh+fLl2Lp1K5YuXYqNGzfSdZCEqCAqxgiRgu+//x47duyoLHSGDh2KiIiIerVVUFCA1NRUvHjxAtnZ2Z8UU6WlpZ8UXSKiIk1dXR0tW7ZEo0aNPinmdHV10b59e3Tu3BktWrSQxtsn/xMeHo5Ro0Zh6dKl2LBhA+s4KsPf3x9ffvkl+Hw+fHx80KFDB9aRCKlRRkYGpk6dilu3bsHLywtTpkxhHYkQwggVY4Q0UFRUFIYMGYKqm5KpqSnu3bvHMBVh5dixY5g5cyZ2796NBQsWsI6jMh4+fAhXV1dkZmbCw8MDrq6urCMRUq2AgADMmTMHrVu3hr+/P3r37s06EiGEIfmZOYAQBVRQUIDp06d/MglH1VMNiWqZPn06fvvtNyxevBgBAQGs46iMXr164ebNm5g4cSImTJiAOXPm4N27d6xjEVKpsLAQX3/9NcaOHQsXFxfcunWLCjFCCB0ZI6QhFi5cCA8Pjw+uwwIATU1NvH//nlEqIg++/vprHDp0COHh4Rg4cCDrOCpFdOShVatWOHbsGAYMGMA6ElFxt2/fxowZM/Dq1Sv85z//wcSJE1lHIoTICToyRkg9hYWFYe/evZ8UYsA/958qKChgkIrIi507d2L48OEQCARISkpiHUeluLi4ID4+HsbGxrCxscGvv/5a7XZKCNfKy8uxadMmWFtbo3379oiPj6dCjBDyAToyRkg9vH37Fr169cKrV69QXl5e7TLJycno0qWLjJMReSK6B1lRURFiYmLovmwyJhQKsX37dvz4448wMTGBl5cX+vXrxzoWURF3797FnDlzEB8fj3Xr1sHd3V2u7itJCJEPNCoQUg/ffPMNsrKyxBZiAJCTkyPDREQeaWtr49y5cyguLoZAIEBhYSHrSCqFx+Ph22+/RXx8PFq0aIGBAwdi2bJlKCoqYh2NKLGioiL8+9//hqWlJTQ1NXHnzh388MMPVIgRQqpFIwMhdRQcHIy//voLpaWlNS6Xm5sro0REnnXs2BHnzp3Dw4cPMW3atBoLeMKNHj16ICIiArt374aXlxfMzMwQFhbGOhZRQpcvX4aFhQV27dqFbdu2ITIyEqampqxjEULkGBVjhNTRpk2bAKDGm8uqqanh1atXsopE5Byfz4e/vz9CQkLwww8/sI6jkng8HubNm4d79+6hT58+sLe3xxdffIGXL1+yjkaUQHZ2NmbPno3hw4ejV69euHfvHhYuXEhHwwghtaJRgpA68vf3h6+vL7788kt06tQJAKCurg4NDY3KZdTV1ek0RfIBOzs7HDhwAH/++Sf27t3LOo7Kat++Pfz9/fHf//4Xly5dQo8ePbBx40aUlJSwjkYUUElJCbZs2YLu3bvjwoUL8PHxwZkzZ9CxY0fW0QghCkJ9zZo1a1iHIESRNGnSBL1794ZAIMB3332HjIwMZGVlwd7eHi9evEBxcTEqKipgaWmJESNGsI5L5Ii5uTkaN26MZcuWwcLCAj179mQdSWWZmJhg/vz5UFNTw/r163HkyBF06tQJJiYmrKMRBXH27Fm4uLjgzJkz+Oabb3DixAn07duXdSxCiIKh2RQJaSBLS0tYW1tj586dEAqFSEhIQGRkJEaOHIlevXqxjkfkEN2DTL6kp6djxYoVOHHiBIYOHYodO3aAz+ezjkXk1P379/H9998jJCQEU6dOxcaNG2FoaMg6FiFEQdFpioQ0QE5ODuLi4iqPgPF4PJibm2PRokVUiBGxdu7ciZEjR9I9yOSEoaEhjh8/jpiYGBQUFMDCwgLTp0/Ho0ePWEcjciQ5Ofn/2Lv3uJ7vxv/jz84OKVREtFTDomJtyCGnopoccqYh0kjMacQO1+Y015fRlHNjDqEQWyh0cqoccqjkVElyrCh0Pnx+f+zy+c3mrHp9Ds/77dbtclqfh+uaS8/P+4QxY8bAysoKDx48QHR0NHbu3MkhRkQfhGOM6ANERUVBRUUFPXr0EJ1CckRNTQ07d+6EqakpnJyckJ2dLTqJAHTq1Anx8fHYtWsXLly4gLZt22LcuHG4efOm6DQS6NatW/Dw8EDr1q1x5swZbN26FefOneP/7xNRleAYI/oAkZGR+Oyzz1C/fn3RKSRn6tSpg9DQUADgM8hkiKqqKoYOHYrk5GRs3rwZsbGxaNWqFb766ivcvn1bdB7VoDt37sDLywstW7ZEdHQ0AgICkJycjFGjRvEuiURUZfj/JkQfIDIykjfpoPdmYGCAsLAwpKen8xlkMkZVVRVubm5ISUnB+vXrceTIEZibm2PcuHFISkoSnUfVKCUlBR4eHjAzM8PBgwfh5+eHq1evYuzYsS/cNZeIqCpwjBG9p1u3biE1NRX29vaiU0iOmZubIzQ0FBEREZg6daroHPoHdXV1uLu749q1a1izZg3Onj0La2trODo6IiIiQnQeVaHo6Gj069cPbdu2xcmTJ7Fq1SrcuHEDnp6er32uJBHRh+AYI3pPkZGRqF27Njp37iw6heRcx44dsXPnTmzYsAFLly4VnUMvoampiQkTJiA5ORmHDh1CRUUFHBwcoK+vj+3bt6OsrEx0Ir2H8vJy7Nq1C4aGhujVqxeePHmC/fv3IyUlBZ6entDU1BSdSEQKjre2J3pPo0aNQnZ2No4ePSo6hRTE2rVrMWXKFGzbtg2jR48WnUOvcebMGeljCTQ0NNCgQQOMGzcOEyZMQMuWLQXX0ZukpaXht99+w5YtW/DgwQPpKcLHjx9Ht27dBNcRkTLhkTGi9yCRSBAVFcVTFKlKTZ48GXPnzsX48eMRFRUlOode4fLly+jbty8AwNDQEBkZGfD29sbu3bvRunVr9OjRA4GBgSguLhZcSn9XUlKCXbt2wcHBAR9//DECAwMxceJEpKenSx/A7uTkhIsXLwouJSJlwjFG9B6SkpLw4MED3ryDqtySJUswdOhQuLq68kYRMigjIwO9e/fGs2fPAABNmjRB06ZN8f333yM1NRWHDx9Go0aNMH78eBgZGWHq1KmIi4sDT0IRQyKR4PTp05gxYwaMjIwwZswY1KtXDwcOHMDNmzfx448/wtjYGI0bNwbw12Dr2bMnbty4IbiciJQFxxjRe4iKikLDhg3x6aefik4hBaOiooJNmzbBxsYGzs7OyMrKEp1E//PgwQP06NEDjx49Qnl5OQBIv4gH/roDo4ODA4KDg3H79m3MmzcPJ06cQOfOnfHRRx9h9uzZOHPmjKh8pXLu3DnMnTsXpqam6NSpEyIjI/HNN9/g9u3bCAkJgbOz8wu3pzc0NISKigrKy8tRUFCAbt268c8eEdUIjjGi9xAZGYmePXvyWTNULTQ1NRESEoIGDRrA2dkZ+fn5opOUXn5+Pnr06IG7d+9Kb9ahpqYGQ0PDl/76Ro0aYfbs2bh48SKuXLkCDw8PhIeHo2PHjjA1NYWPjw/Onj2LysrKmvxtKKzKykqcPXsW3377LczNzfH555/jzz//xNixY3H58mUkJiZi7ty5L4znvzMwMJDeMbGsrAyPHj2CnZ0dH8hORNWOX0kSvaOysjIcO3aM14tRtdLV1cX+/ftx//59uLq6orS0VHSS0iosLETv3r2Rlpb2wl0T1dTU0LBhwzf+861bt8YPP/yA5ORkJCcnw83NDfv370eHDh1gaGgINzc3BAYG8gv/d/To0SMEBQVhzJgxMDQ0RIcOHbBnzx6MGDFCOoJ//PFHWFhYvPFz6evrQ0VFRfr9srIyZGVloXfv3nwzhIiqFccY0Ts6c+YMnj59il69eolOIQVnamqK0NBQxMfHY/z48bzuSIDS0lL069cPiYmJ/7p9vYqKCgwMDN7p87Vp0wYLFizA1atXcePGDfzwww94/PgxPD09pYPihx9+QFRUFAoKCqrytyL3CgoKEBMTgwULFqBz587Sa/Nyc3Pxww8/4MaNG7h27RoWLVoEa2vrd/rcDRs2/Nefr7KyMly9ehVOTk4oLCysyt8KEZEUHyVP9I4iIiLQvHlz3r6aasTzZ5C5urqiefPm+Pnnn0UnKY2KigqMGDECJ06ckF4j9s+f19fXf+/Pb25uDm9vb3h7e6O4uBjHjx9HeHg49u7di4ULF0JdXR3W1tbo2rUrunTpgs6dO8PIyOhDfkty5f79+zh16hROnjyJuLg4JCQkoLy8HJ988gkcHR3x448/ws7ODrVq1frg1zIwMHjps+LKyspw7tw5DB48GH/88QefO0ZEVY7PGSN6R3Z2djA3N8emTZtEp5ASWbt2Lby8vLBhwwZMnDhRdI7Ck0gk8PDwwJYtW6TPoHqZkJAQDBo0qMpfPzs7G3FxcdIxkpCQgJKSEpiYmKBdu3awtLSElZUVLC0tYW5uDjU1tSpvqCmVlZVIS0vDpUuXkJycjKSkJFy4cAE3b96EhoYGPv/8c9ja2kpH6bsejXwbR48eRZ8+fV758+rq6hg8eDACAwPl+r9rIpI9HGNE76CgoAANGjTA5s2b+VBeqnHz5s3DihUrEBYWxtNkq5m3tzdWr179xl937Ngx2NnZVXtPSUkJzp07h1OnTuHixYtISkrCtWvXUFZWhtq1a6NNmzawtLSEmZkZTExMYGJighYtWqBp06bV3va27t27h4yMDGRkZCA9PR3p6elITExESkoKCgsLoa6ujpYtW8LS0hKffvopbG1t8dlnn6F27drV3nb+/HnY2Ni88df16tULkZGR1d5DRMqDY4zoHYSFheGLL77A3bt3X3kXNaLqIpFI8OWXX+LAgQM4ceIELC0tRScprObNmyMrKwtqamqvPTJ25coVtG7dugbL/r/S0lJcuXIFSUlJ0o+0tDTcunULJSUlAIBatWpJx5mhoSH09PSgp6cHAwMD6OnpQV9fH3p6eqhbty50dHQAAHXr1n3t6XilpaXS69mePn2KZ8+eITc3V/qRk5OD7Oxs5Obm4uHDh0hPT0dGRob0IdiampowNjaGqakprK2tYWlpibZt26JNmzbCTgPMzMzERx999Mqff/7vQa1atVBYWPjCzT6IiD4ExxjRO5g9ezYOHz7Mh/GSMKWlpXBycsL169cRFxeHZs2aiU5SSBUVFfjjjz/wyy+/IDY2FhoaGi+9pujBgwdo1KiRgMJXk0gkuHPnDjIyMnDz5k3p0aj79+8jNzcX2dnZyMnJwZMnT177eVRUVFC/fn3p9/Pz8994K34dHR3o6+tLR17jxo2lR+lMTU1hYmKCpk2bytxjQQoLC1G3bt1//fjz/91tbGwwZ84cuLq6Ql2dl9sTUdXhGCN6B+3atUP37t3x66+/ik4hJZafn49u3boBAE6cOAFdXV3BRYotNjYWXl5euHz5MlRUVKSj7Pm35fUaorKyMunRrOdHuADg2bNnKCsrQ0VFxQuDTUdHB2pqalBXV0e9evUA/HUUrV69etIjbvJ8gwstLS3pIyQ0NDRQUVEBCwsLrFq1Cj179hRcR0SKim/vEL2l7OxsJCYmYuHChaJTSMnp6uri0KFDsLW1haurK8LCwuT6i2BZd/nyZVy5cgVnz57Fnj174O/vj/z8fEgkErkdYsBfg8PQ0JCnXP/P8yGmra0NLy8vjBkzBp06dUJycjLHGBFVGx4ZI3pLu3btwpdffonc3FzptRVEIiUlJaFbt27o168ftm3bxutYqoFEIkHbtm3x2WefYcuWLQCAoqIibNu2DcXFxZg2bZrgQqoqv/32G548eQJPT0/pKYvTpk1DWFgYrl27JnOnVhKRYuAYI3pLnp6euHz5Mk6dOiU6hUgqKioKTk5OmDlzJp9BVg0OHz4MR0dHnD9/Hu3btxedQzUsNTUVrVq1QkhICAYMGCA6h4gUEMcY0VsyNTWFm5sbFixYIDqF6AWBgYH48ssvsXr1akyePFl0jkJxdHRESUkJoqOjRaeQIAMGDMCTJ0/47wARVQteM0b0Fm7evImbN2/C3t5edArRv4wePRq3b9/G1KlTYWRkhP79+4tOUgjXr1/HkSNHsG/fPtEpJJCXlxccHR1x4cIFHh0loirHE6CJ3sLRo0dRp04ddOrUSXQK0Uv5+PjA09MTI0eOxOnTp0XnKAR/f3+YmZnBxcVFdAoJ1KdPH1hYWMDX11d0ChEpII4xorcQFRUFOzs73rGOZJqfnx/s7e3h4uKC1NRU0TlyLS8vD5s3b8a0adN44wYlp6KigunTp2PXrl24d++e6BwiUjD8G4boDSorKxEZGYlevXqJTiF6LTU1NezcuROmpqZwcnJCdna26CS5FRAQAHV1dbi7u4tOIRng5uYGHR0drFmzRnQKESkYjjGiN0hKSkJOTg4cHBxEpxC9UZ06dRAaGgoAcHFxQWFhoeAi+VNeXg4/Pz94eHhAW1tbdA7JgNq1a2PSpElYt24dioqKROcQkQLhGCN6g4iICOjr68PKykp0CtFbMTAwQFhYGNLT0zFy5EhUVFSITpIrISEhuHv3LqZOnSo6hWSIl5cXnjx5gu3bt4tOISIFwlvbE72Bs7MzdHR0sGvXLtEpRO/k1KlT6NWrFyZMmMDTq96Bra0tjI2NERQUJDqFZMzYsWNx7tw5JCcn8yHrRFQleGSM6DVKS0tx/Phx9OzZU3QK0Tvr0qULNm3ahHXr1mHp0qWic+RCfHw84uPjMWPGDNEpJIOmT5+OlJQUHDlyRHQKESkIHhkjeo3jx4+je/fuSE1NhZmZmegcoveydOlSzJ8/H9u2bcPo0aNF58i04cOHIzMzE3FxcaJTSEb17NkTWlpaCA8PF51CRAqAD30meo2IiAiYmJhwiJFc8/HxQWZmJsaPH48mTZrwzqCvkJmZiZCQEAQGBopOIRk2ffp0DBo0CNevX0fLli1F5xCRnONpikSvERkZCXt7e9EZRB/Mz88Pjo6OGDFiBJ9B9gp+fn4wMDDAoEGDRKeQDHNxcYGZmRn8/f1FpxCRAuAYI3qFp0+f4uzZs+jdu7foFKIPxmeQvd6zZ88QEBAALy8vaGhoiM4hGaaqqopp06Zh8+bNyMvLE51DRHKOY4zoFY4dO4by8nKOMVIYfAbZq23evBklJSWYNGmS6BSSA+7u7lBXV0dAQIDoFCKScxxjRK8QGRkJS0tLGBgYiE4hqjJ8Btm/VVZWYtWqVXBzc4O+vr7oHJID2tra8PDwgJ+fH8rLy0XnEJEc4xgjeoWIiAgeFSOFZG5ujtDQUERERPDBxgBCQ0ORlpaG6dOni04hOTJ16lTcvXsXISEholOISI7x1vZEL3H//n00bdoUBw4cgLOzs+gcomrx559/wtXVFYsWLYKPj4/oHGF4q3J6X3wUAhF9KB4ZI3qJqKgoqKurw87OTnQKUbXp378//Pz8MH/+fKW9nfuFCxcQExPDhzzTe5kxY4b0QeFERO+DR8aIXmLChAm4ceMGjh8/LjqFqNrNmzcPK1asQFhYmNI9g2zs2LE4d+4ckpOToaKiIjqH5JCtrS2MjY0RFBQkOoWI5BCPjBG9RGRkJK8XI6WxZMkSDB06FK6urkhKShKdU2Pu3buHXbt2Yfr06Rxi9N5mzJiBkJAQZGZmik4hIjnEMUb0Dzdu3MCtW7c4xkhpqKioYNOmTbCxsYGzszOysrJEJ9WIdevWQUdHB25ubqJTSI4NHDgQBgYG8PPzE51CRHKIY4zoHyIjI6GtrY2OHTuKTiGqMZqamggJCUGDBg3g7OyM/Px80UnVqrS0FBs3bsSkSZNQu3Zt0TkkxzQ1NeHl5YWAgAA8e/ZMdA4RyRmOMaJ/iIiIgJ2dHTQ0NESnENUoXV1dHDp0CI8fP4arqytKS0tFJ1WbXbt2ITc3F15eXqJTSAFMmjQJJSUl2Lx5s+gUIpIzHGNEf1NZWYno6GjY29uLTiESolmzZjh06BASEhIwfvx4KOo9nnx9fTFixAg0adJEdAopAH19fbi5uWHVqlWorKwUnUNEcoRjjOhvLl68iEePHvF6MVJqlpaWCAkJwe7duzF//nzROVUuJiYGFy5c4EOeqUpNnz4daWlpCA0NFZ1CRHKEt7Yn+pv/+7//w4oVK3Dv3j3eXY2U3rZt2zBmzBisWbMGkydPFp1TZQYOHIj8/HxER0eLTiEF4+joiJKSEv67RURvTV10AJEsiYyMRM+ePTnEiAB8+eWXSElJwdSpU2FkZIT+/fuLTvpgqampCA0NRUhIiOgUUkAzZsyAo6MjLly4gPbt24vOISI5wNMUif6npKQEJ06c4CmKRH+zZMkSjBgxAiNHjsTp06dF53ywVatWwdTUFC4uLqJTSAH16dMHFhYW8PX1FZ1CRHKCY4zof2JjY1FUVMSbdxD9zfNnkHXq1AkuLi5ITU0VnfTe8vLysHnzZkybNg2qqvzrj6qeiooKpk+fjl27duHevXuic4hIDvBvI6L/iYiIgJmZGUxMTESnEMmU588gMzQ0hIuLi9w+gywgIADq6upwd3cXnUIKzM3NDTo6Oli/fr3oFCKSAxxjRP/DW9oTvdrzZ5A9e/ZMLp9BVl5eDj8/P4wbNw7a2tqic0iB1a5dG5MmTcKGDRvk7s8JEdU8jjEiAPn5+Thz5gyvFyN6DXl+BllISAiysrIwZcoU0SmkBLy8vJCbm4tdu3aJTiEiGccxRgTg2LFjkEgk6NWrl+gUIpkmr88gW7lyJVxcXGBubi46hZRAkyZNMGLECN7Ig4jeiGOMCMDRo0dhZWUFPT090SlEMq9Xr17YtGkT/vvf/2Lt2rWic94oPj4e8fHxfMgz1ajp06fjwoULiImJEZ1CRDKMD30mAtCmTRt88cUX+L//+z/RKURyY+nSpfjuu+8QEhIi088gGz58OG7cuIHz58+LTiEl07NnT+jq6mL//v2iU4hIRvHIGCm9u3fvIiUlhacoEr0jHx8feHp6yvQzyDIzMxESEsKjYiTE9OnTERoaKtePhCCi6sUxRkovKioKWlpasLOzE51CJHf8/Pxgb28vs88g8/Pzg4GBAUaMGCE6hZSQi4sLTE1NsWrVKtEpRCSjOMZI6UVERKBTp06oU6eO6BQiuaOmpoadO3fC1NQUTk5OyM7OFp0k9ezZMwQEBMDLywuampqic0gJqaqqYtq0adi8eTPy8vJE5xCRDOIYI6UXGRnJ54sRfYA6deogNDQUwF9HAgoLCwUX/WXz5s0oKSnBpEmTRKeQEnN3d4e6ujoCAgJEpxCRDOIYI6V29epVZGVl8Xoxog9kYGCAsLAwpKenY+TIkaioqBDaU1lZiVWrVsHNzQ36+vpCW0i5aWtrY+zYsfDz80N5ebnoHCKSMRxjpNQiIyOho6ODDh06iE4hknvm5uYIDQ1FREQEpk6dKrTl6NGjSEtL4407SCZ4e3sjKysLISEholOISMbw1vak1AYNGoSKigr8+eefolOIFMaff/4JV1dXLFq0CD4+PkIaHB0dAQDh4eFCXp/onwYOHIgHDx4gLi5OdAoRyRB10QGkmBISEvD48WPRGa9VWVmJiIgIjBkzBhERETX62vXq1UPHjh1r9DWJ3lVRURHi4uJQWVn5Tv9cnTp1MGXKFMyfPx9Pnz5Fz549q6nw5W7duoUjR45gyZIl1f5n++OPP8ZHH31Ura9B1S8zMxPXr1+v1tfo1q0bZs+eDT8/P3zyySfV+lpVTUVFBZ06dULdunVFpxApHB4Zoyr38OFDNG7cWHSGzEtLS4OpqanoDKJX8vf3F366oazT09NDTk6O6Az6QBYWFrhy5YroDJm2ZMkSzJs3T3QGkcLhkTGqcsXFxQCAY8eOwdLSUnCN7MnMzES7du1QUFAgOoXotZ49e4b69esjPT1ddIpMWrp0KQIDA0VnUBVQVVXFV199hZ9//ll0ikxq164dnjx5IjqDSCFxjFG1adCgARo0aCA6Q+Y8ffpUdALRW9PR0eGf41do0KAB1NTURGdQFVBVVeXfWa+hq6srOoFIYfFuikRERERERAJwjBEREREREQnAMUZERERERCQAxxgREREREZEAHGNEREREREQCcIwREREREREJwDFGREREREQkAMcYERERERGRABxjREREREREAnCMERERERERCcAxRkREREREJADHGBERERERkQAcY0RERERERAJwjBEREREREQnAMUZERERERCQAxxgREREREZEAHGNEREREREQCcIwREREREREJwDFGREREREQkAMcYERERERGRABxjREREREREAnCMERERERERCcAxRkREREREJADHGBERERERkQAcY0RERERERAJwjBEREREREQnAMUZERERERCQAxxgREREREZEAHGNEREREREQCcIwREREREREJwDFGREREREQkAMcYERERERGRABxjREREREREAnCMERERERERCcAxRkREREREJADHGBERERERkQAcY0RERERERAJwjBEREbuETAEAACAASURBVBEREQnAMUZERERERCQAxxgREREREZEAHGNEREREREQCcIwREREREREJwDFGREREREQkAMcYERERERGRAOqiA0hxRURE4MGDB6IzZE5mZqboBKK3lpmZiYiICNEZMikiIgLPnj0TnUFVoLi4GBEREejdu7foFJmUlJSEL774QnQGkULiGKMqV69ePQDAzJkzBZfINj09PdEJRK9laGgIAHBwcBBcIrssLCxEJ1AVaNy4MU6ePMl/11/DyMhIdAKRQlKRSCQS0RGkeAoKClBaWlqjrzl69GiEhYXB29sbCxYsqNHXflcaGhrQ1tYWnUH0Ro8fPxadINWwYUMAf71LLytfGNatWxeampqiM+gDlZaWoqCgQHTGO0lNTUWHDh0AAEePHoWNjU21vl79+vWhoqJSra9BpIx4ZIyqRd26dVG3bt0ae71du3YhLCwMAFBRUYEGDRrU2GsTKTJZ+bN0//596bfDw8Mxe/ZsgTWkaDQ1NeVuVBsbG0u/PXToUJw9exbm5uYCi4joffAGHiT3Hj58iMmTJ0vfsfv7F21EpBh2794NdXV1qKioYNu2baJziISrX7++9NsFBQWwt7fnddpEcohjjOTe5MmTUVBQgOdn3GZlZQkuIqKqtnXrVlRUVEAikSAxMRHXrl0TnUQklJaWlvRoXllZGe7evYsePXogPz9fcBkRvQuOMZJre/bsQUhICMrKyqQ/xncGiRRLeno6EhISpG+4aGhoYMeOHYKriMT7+7XHZWVlSEtLQ//+/Wv8mm0ien8cYyS3cnJy8NVXX0FVVfVfP05EimPXrl1QV///lziXlZXh999/FxdEJCN0dHRe+H5ZWRliY2MxZswYVFRUCKoionfBMUZya8qUKXj69CkqKytf+PHCwkIUFxcLqiKiqrZt27YXjn4Dfz3/LCEhQVARkWx42Q12ysvLsXv3bnh7ewsoIqJ3xTFGcmnfvn0IDg7+1xdoz/FURSLFkJSUhKtXr/7rxzU1NXmqIim95497+KfKykqsX78eS5cureEiInpXHGMkdx49eoSJEyf+6/TEv3v48GENFhFRddmxYwc0NDT+9eOlpaXYtm3bv46MEykTPT29V/6cRCLB/PnzsWnTphosIqJ3xTFGcmfq1Kl48uTJa78I45ExIvknkUiwdevWVx4Bz87ORkxMTM1GEcmQ+vXrv/TNiuckEgkmTJiA3377rQariOhdcIyRXAkNDcWOHTte+cUZAKipqfHIGJECiI+Px927d1/58xoaGti5c2cNFhHJFl1d3VeeJaKiogI1NTUAQKNGjWoyi4jeAccYyZWjR48CANTV1aV/yfyTuro6H/xMpAB27NghfY7Sy5SVlSE4OJi38Sal9fcHPz/3/EiZqakpfH19kZ+fDxcXl5pOI6K3xDFGcmXVqlW4fPkyfv31VwwcOBC6uroAXhxnpaWlHGNEcq68vBz+/v5vHFpPnjxBeHh4DVURyRZdXV2UlJQA+GuEqaqqon79+vjiiy9w48YNeHt7/+v290QkWzjGSO5YWFjAy8sLe/bswZw5c9CoUSP88ssv6NevH3R0dCCRSJCdnS06k4g+kLa2NrS0tGBkZAQjIyPo6+tDR0dH+n0jIyMAkH4xSqRsDAwMAPx1hGz27Nm4efMmvv/+exw7dgz5+fmC64jobahIJBKJ6Aii99WnTx8YGBggMDAQwF+3801OToahoSHPkSdSMEuXLsXatWtx69Yt0SlEMqGkpARHjhxBnz59oKWlBeCvo8VGRkZYtGgRvv76a8GFRPQmPDJGcqu0tBSnTp1Cjx49pD+mqqoKKysrDjEiIlJ4WlpacHFxkQ4xANDR0cGYMWOwevVq8P12ItnHMUZy68yZMygsLETv3r1FpxAREcmMKVOmIDU1FUeOHBGdQkRvwDFGcismJgbGxsYwNTUVnUJERCQzLCws0L17d6xZs0Z0ChG9AccYya3o6OgXTlEkIiKiv3h7e+PAgQPIyMgQnUJEr8ExRnKppKQEcXFx6Nmzp+gUIiIimTNgwAAYGRnx6BiRjOMYI7l0+vRpFBUV8cgYERHRS6irq8PT0xObN29GUVGR6BwiegWOMZJLkZGRMDExgYmJiegUIiIimTRx4kQ8efIEQUFBolOI6BU4xkguxcTE8BRFIiKi12jcuDGGDh0Kf39/0SlE9AocYyR3ioqKcPr0afTq1Ut0ChERkUzz9vZGQkIC4uPjRacQ0UtwjJHciYuLQ0lJCa8XIyIieoNOnTqhffv2vJEHkYziGCO5Ex0dDXNzczRr1kx0ChERkczz9vZGUFAQsrOzRacQ0T9wjJHc4fViREREb2/kyJGoV68eNmzYIDqFiP6BY4zkSkFBAc6cOcNTFImIiN5S7dq14e7ujg0bNqC8vFx0DhH9DccYyZWTJ0+itLSUY4yIiOgdTJ48GVlZWQgNDRWdQkR/wzFGciUmJgatW7dG06ZNRacQERHJDVNTUzg7O/M290QyhmOM5AqvFyMiIno/3t7eiI6ORkpKiugUIvofjjGSG0+fPsW5c+d4iiIREdF7cHBwgJmZGdauXSs6hYj+h2OM5MbJkydRUVHBMUZERPQeVFVV4eXlhd9//x3Pnj0TnUNE4BgjORITEwMLCws0atRIdAoREZFccnd3h0Qiwe+//y46hYjAMUZyJCoqikfFiIiIPkD9+vUxatQorF27FhKJRHQOkdLjGCO5kJeXhwsXLnCMERERfaApU6YgJSUF0dHRolOIlB7HGMmFEydOQCKRcIwRERF9IGtra3Tr1o23uSeSARxjJBdiYmJgaWkJfX190SlERERyz9vbG6GhocjMzBSdQqTUOMZILkRHR/OoGBERURUZOHAgDAwMsGHDBtEpREqNY4xk3uPHj3Hp0iU+7JmIiKiKaGpqwtPTExs2bEBpaanoHCKlxTFGMu/48eMAADs7O8ElREREiuOrr75CXl4egoKCRKcQKS2OMZJ5UVFRsLa2RoMGDUSnEBERKYwmTZpg0KBBWLNmjegUIqXFMUYyLzo6mqcoEhERVYMpU6YgPj4eCQkJolOIlBLHGMm0nJwcJCcnc4wRERFVAzs7O1hZWfE290SCcIyRTIuJiYGqqiqvFyMiIqom3t7eCAoKQk5OjugUIqXDMUYyLSYmBjY2NtDR0RGdQkREpJBGjhwJLS0tbN68WXQKkdLhGCOZFhMTw+eLERERVSNtbW2MGzcOa9asQWVlpegcIqWiIpFIJKIjiF7m4cOHMDQ0xMGDB+Hk5CQ6h4g+0OPHj5GRkYHbt28jNzcXubm5yMnJQU5OjvT7ubm5KC4uRnl5OZ4+fQoAKCwsRElJyQufS0VFBfXr1wcAaGlpoU6dOlBVVYWent5LP/T19dGkSROYmJigadOmUFXle5FEf5eamoqWLVti//796N+/v+gcIqXBMUYya9euXfjyyy/x6NEj1KtXT3QOEb2FrKwsJCUl4fr167h58yYyMjKkH/n5+dJfV7duXelQMjAweGE41a5dG6qqqtDV1QUA1KpVC7Vr137hdSoqKvDkyRMAQHFxMYqKilBZWfnCqPvnyHtOU1MTxsbGMDExkX6YmZmhbdu2aNWqFTQ0NGrgvyki2ePo6AgACA8PF1xCpDw4xkhmTZo0CZcuXUJcXJzoFCL6h8LCQly+fBmXLl1CUlISEhMTkZiYiEePHgGA9CjU8w9TU1Ppt5s1a4ZatWrVaG9lZSUePHjwwjjMyMhAeno6MjIykJmZidLSUmhqasLCwgKWlpawtLSEtbU1rKysYGhoWKO9RCKEhoZiwIABuHbtGj7++GPROURKgWOMZFbr1q0xePBgLF68WHQKkdK7c+cOYmNjpR/nz59HeXk5dHV1XxgulpaWaNu2rdzddKe8vBzXr19HUlKSdGAmJSXh1q1bAABjY2PY2dnB1tYWXbp0Qdu2baGmpia4mqhqVVZWwtzcHP3794evr6/oHCKlwDFGMunu3bswMjLCkSNH4ODgIDqHSOlkZGTg8OHDOHnyJGJjY5Geng4tLS3Y2NhIB0n79u1hYmIiOrVa5eXlISkpCfHx8Th58iTi4uKQnZ2NevXqoUuXLrC1tYWDgwM6dOjAcUYKYfny5Vi8eDFu374NbW1t0TlECo9jjGTSjh074O7ujsePH6NOnTqic4gUXnFxMY4fP47w8HCEhYXh6tWraNiwIbp27YrOnTujS5cu+Pzzz6GlpSU6Vbjr16/j5MmTOHXqFE6dOoVr166hYcOGcHBwgKOjIxwdHXlaI8mtnJwcGBsbw9fXF56enqJziBQexxjJJE9PT1y5cgUnTpwQnUKksO7du4eQkBAcOnQIMTExKC4uho2NDRwdHeHk5MSjPW8pIyMD4eHhCA8PR2RkJAoKCtCuXTs4Ojpi4MCB6NChg+hEoncyfvx4nDt3DomJiaJTiBQexxjJpI8//hgjRozAwoULRacQKZQHDx4gJCQEwcHBOH78OHR1deHs7AwnJyf06dMHBgYGohPlWmlpKU6ePInw8HAcPHgQKSkpaNGiBYYNG4Zhw4bh008/FZ1I9Ebnz5+HjY0NYmJi0L17d9E5RAqNY4xkTmZmJj766CNERkaiV69eonOI5F5OTg727duHoKAgxMTEQFtbGwMGDMDw4cNhb28PTU1N0YkK6/LlywgKCkJwcLD0DnXDhg3D0KFDYW1tLTqP6JVsbW1hbGyMoKAg0SlECo1jjGTO1q1b4enpicePH//r2UJE9HYkEgkiIyOxceNG/PHHH9DU1ET//v0xbNgw9O3bl9d+CXDp0iUEBwcjKCgIaWlpsLGxgYeHB0aOHCl9phqRrNi+fTvc3d2RmZmJJk2aiM4hUlgcYyRz3N3dcfPmTcTExIhOIZI79+7dw++//47ffvsNaWlpsLOzw8SJEzF48GC+uSFD4uLiEBAQgODgYADA0KFDMXHiRNja2gouI/pLaWkpmjdvjkmTJuGnn34SnUOksFRFBxD9U0xMDE9PJHpHERERcHV1xUcffYSVK1di4MCBuHLlCo4dOwY3NzcOMRlja2uL3377DVlZWVi+fDkSExPRuXNnWFpawt/fHwUFBaITSclpamrC09MTGzduRGlpqegcIoXFMUYyJSMjAxkZGejRo4foFCKZV1ZWhu3bt6N9+/ZwcHDA48ePsW3bNty+fRvLly9H69atRSfSG+jq6uKrr77CuXPncO7cOXTt2hU+Pj4wNjbGt99+i7t374pOJCU2ceJEZGdnY9++faJTiBQWT1MkmfL777/Dy8sLjx8/5jUtRK+Ql5eHjRs3ws/PD/fv38fw4cMxa9YstGvXTnQaVYFHjx5h3bp18PPzw6NHjzBy5EjMmjULlpaWotNICQ0ePBgPHz7ko2aIqgmPjJFMiY6Ohq2tLYcY0Us8ePAAM2fOhLGxMRYtWoThw4cjLS0N27Zt4xBTIA0bNsT8+fORkZGBNWvWICEhAdbW1nB0dMSpU6dE55GS8fb2xsmTJ3Hx4kXRKUQKiWOMZEpUVBR69uwpOoNIpuTk5MDHxwdmZmYICgrCf/7zH9y+fRvLli1D8+bNRedRNdHS0sKECROQmJiIsLAwFBcXo2vXrnB0dMTZs2dF55GS6NGjBywsLLBmzRrRKUQKiWOMZEZqaiqysrJ4vRjR/+Tl5eGHH36AqakpNm/ejAULFiA1NRWzZs2Cjo6O6DyqISoqKujbty9iYmIQERGBp0+fokOHDujfvz+PVlC1U1FRgZeXFwIDA5GXlyc6h0jhcIyRzIiOjkbdunXRsWNH0SlEQj179gyLFi1CixYtsHr1asyfPx9paWmYOXMm74qo5Hr37o1Tp07h4MGDuHfvHj799FMMHToUKSkpotNIgY0dOxZqamrYtGmT6BQihcMxRjIjJiYGXbt2hYaGhugUIiEkEgl27tyJTz75BMuXL8f06dNx8+ZN+Pj4QFtbW3QeyRBnZ2ecOXMG+/btw/Xr12FtbY1p06bxyAVVC21tbYwbNw5r165FZWWl6BwihcK7KSqpp0+fory8HBKJRPqXd2lpKTQ0NKCiogJ1dXXUq1cPAFC7dm3UqlWr2puMjIwwdepU+Pj4VPtrEcma+Ph4zJgxA2fOnIG7uzuWLl0KfX190VkkByorK/H777/Dx8cHEokEP/30Ezw9PaGuri46jRRISkoK2rZti0OHDsHR0VF0DpHC4BhTIA8ePJA+pysjIwN3795Fbm6u9CM7Oxu5ubl4+vTpO39uFRUV6Onp/evDwMAAzZo1Q4sWLWBiYgITExPpiHsX165dQ+vWrREXF4dOnTq98z9PJK/u3buHWbNmYdeuXejevTtWrFiB9u3bi84iOZSXl4dFixbBz88P5ubm8PX1hYODg+gsUiD29vaoVasWDhw4IDqFSGFwjMmZ8vJyXLt2DUlJSbh06RIuX76MtLQ03Lx5E0VFRQAADQ0NNG/eHE2aNHlhOOnr68PAwAD16tVD3bp1oampCQCoX78+VFRUoKamhoqKCgB/HSUrKCgAABQUFKC4uPiFYff8IycnB1lZWbh37560UU9PDyYmJmjZsiWsrKxgZWUFS0vL1971bf369fjmm2/w6NEjvptLSqG8vBy+vr746aef0KhRIyxfvhyDBg0SnUUKIDU1FXPmzMG+ffswePBgrFq1Ck2bNhWdRQpg//79GDx4MK5fvw4zMzPROUQKgWNMhlVWViIlJQUnT55EfHw8EhMTcfnyZZSWlkJTUxNt2rRB27ZtYWZm9sKRKSMjI6ipqdVoa3FxsfSIXHp6OjIyMpCamorExESkp6dDIpGgQYMGsLKygrW1Nbp27YrOnTvDyMgIADB8+HA8ffoUhw4dqtFuIhEuXryIiRMnIikpCfPnz8c333zDG3NQlTt8+DCmTJmC3Nxc/Pe//8XEiROhoqIiOovkWHl5OczMzDBs2DAsW7ZMdA6RQuAYkyHFxcWIj4/HiRMnEBsbi7i4OOTn56Nhw4bo1KmTdMhYWlqiVatWcnME6dmzZ0hOTkZiYiISExNx4cIFJCQkoKSkBMbGxujatStSU1PRq1cvLFmyhF8skMIqKirCwoULsWzZMnTq1AkBAQFo1aqV6CxSYEVFRfjhhx/g6+uLzp07Y+PGjWjZsqXoLJJjS5YswS+//IKsrCy+iURUBTjGBEtNTUV4eDjCwsIQExODwsJCtGzZEl26dEHXrl1ha2uL1q1bK9xAKSkpQUJCAmJjY3HixAnExcUhOzsbhoaGcHR0hKOjI/r27Yv69euLTiWqEseOHYOnpyfu37+Pn3/+GZMmTYKqKm9oSzXj/Pnz8PDwwNWrV/Hdd99hzpw5cvOGHsmWnJwcGBkZYc2aNZgwYYLoHCK5xzFWwyoqKnD8+HH88ccfOHjwIFJTU2FgYIA+ffrAyckJDg4OaNSokehMIa5cuYLw8HCEh4fj+PHjKC8vR+fOneHo6IhBgwahdevWohOJ3llxcTHmzZuHX3/9Ff369cOaNWvQrFkz0VmkhMrLy/HLL7/gp59+goWFBXbs2MGjZPRexo4di6SkJJw/f150CpHc4xirAZWVlTh58iSCgoKwd+9ePHz4EJ9//jn69esHR0dH2NjY8B3yfygsLERMTAzCwsLw559/IjMzE9bW1hg6dCiGDRuGjz/+WHQi0RtdvnwZI0eOxK1bt7BmzRqMHj1adBIRrl+/Djc3N6SkpGDlypWYOHGi6CSSM/Hx8bC1tUVsbCxsbW1F5xDJNY6xapSQkICtW7di9+7duHfvHj777DMMGzYMQ4cOhYmJieg8uSGRSBAfHy8ds1lZWfj0008xYsQIuLm5oUmTJqITiV4gkUjg7++POXPmwMbGBtu3b+efeZIpZWVl+PHHH/Hf//4XLi4uCAgIgJ6enugskiOff/45WrZsicDAQNEpRHKNY6yK5efnY+fOnQgICEBCQgIsLS0xcuRIDBs2jLeBrQKVlZWIjY1FUFAQgoKCkJeXhy+++AITJ06Eo6MjjzCScPfv34e7uzsiIiLwn//8B/Pmzavxu5sSva0TJ07Azc0N5eXl2LJlC+zt7UUnkZzYsmULPD09cevWLRgaGorOIZJbHGNV5PTp09iwYQOCg4MBAMOGDYOHhwcP31ejkpIS/PHHH9i4cSMiIyPRvHlzjB8/HhMmTOA1OSRETEwMhg8fDh0dHQQGBqJDhw6ik4jeKC8vD5MnT0ZQUBDmz5+PBQsW8I0teqOioiIYGxvj66+/xnfffSc6h0hucYx9gIqKCoSEhMDX1xexsbGwsbGBh4cHRo4cCV1dXdF5SiUtLQ2//fYbfv/9d+Tk5GD48OGYNWsW2rVrJzqNlMQvv/wCHx8fDBkyBBs3boS2trboJKJ3snnzZnh5eaFHjx7Yvn07T1ukN5o7dy527NiBmzdv8u6cRO+JY+w9FBQUYNOmTfD19UVGRgYGDhyIWbNmoXPnzqLTlF5ZWRmCgoLwyy+/4OLFi7C3t8f06dPh7OyscI8HINnw7NkzeHh4YO/evVi2bBmmT58uOonovZ0/fx6DBw+GiooK9u7di/bt24tOIhl269YtmJqaIigoCEOGDBGdQySXOMbeQV5eHlauXAl/f3+UlJTA3d0dX3/9NczNzUWn0UtERERg+fLlOHLkCD755BN8++23GDFiBE+/oSpz/fp1uLq6IicnB0FBQejevbvoJKIPlpubi9GjR+PYsWNYt24dxo4dKzqJZNjAgQORn5+P6Oho0SlEcolflb6Fp0+fYtGiRWjRogX8/f0xc+ZMZGZmws/Pj0NMhtnb2yM8PByXLl2CjY0NxowZAysrK+zZswd8D4I+VFhYGDp06AAdHR0kJCRwiJHC0NPTw8GDBzFr1iy4u7tj6tSpqKioEJ1FMmry5MmIiYlBSkqK6BQiucQjY69RUFCA1atXY9myZSgrK8OMGTMwffp0Xg8mp65evYqffvoJwcHBsLS0xMKFC9GvXz+evkjvbO3atZg6dSo8PDywatUqaGpqik4iqhZ//PEH3NzcYGdnh6CgIF4LSf8ikUjQunVr9O7dG2vWrBGdQyR3eGTsJSorK7Fp0yZ8/PHHWLhwITw9PZGeno7//Oc/HGJyrHXr1ti5cycuXrwIMzMzDBgwAJ07d0Z8fLzoNJITlZWV+Oabb+Dt7Y2lS5di3bp1HGKk0AYMGIATJ07g4sWL6NatG+7evSs6iWSMiooKpkyZgm3btiE/P190DpHc4Rj7h5iYGHz22Wf46quvMGjQIKSnp2Px4sVo2LCh6DSqIpaWlti7dy/Onj2LWrVqoXPnzhg1ahTu3LkjOo1kWFFREYYPH47Vq1cjODgYs2fPFp1EVCPatWuH06dPo6KiAh07dkRSUpLoJJIxY8aMAQBs3bpVcAmR/OEY+5/MzEwMGTIEPXv2ROPGjXHp0iWsXr0aBgYGotOomtjY2CA6Olo6zFq3bo3FixejqKhIdBrJmIcPH6JXr144fvw4oqKiMHjwYNFJRDWqWbNmOHXqFCwsLNClSxccOXJEdBLJkPr162P06NFYs2YNr8kmekdKP8ZKS0uxaNEitG7dGklJSQgLC0NYWBgsLCxEp1ENGTRoEBITE+Hj44OlS5fik08+QVhYmOgskhGZmZno1q0bHj9+jNjYWHTq1El0EpEQ9erVw8GDBzF8+HD069cPO3fuFJ1EMsTb2xtXr15FRESE6BQiuaLUN/A4c+YMPDw8kJaWhh9//BFff/01r/9Qcvfu3cOsWbOwc+dOjBo1Cr6+vjw6qsTS0tJgb28PAwMDhIeH83Rlov/58ccfsWjRIqxfvx4TJkwQnUMyomfPntDV1cX+/ftFp7zgyZMnyMnJwePHjwEAhYWFKCkpAfDXsyKf35hGU1MTdevWBQDo6urCwMCA9wqgaqeUY6ygoADfffcdVq1ahV69emH9+vUwNTUVnUUy5ODBg5g8eTIKCwvh6+sLNzc30UlUw65cuQJ7e3uYmZnhwIED0NHREZ1EJFOWL1+OuXPnwtfXF1OnThWdQzIgODgYo0aNQnp6OoyNjWvkNbOyspCRkYGbN2++8J/Z2dnIyclBbm4uysrK3vvza2hoQE9PD3p6ejAwMICJiQlMTEzQokUL6bdr6vdKiknpxlhkZCQ8PDyQn5+PX375BePGjeOtzemlnj59ivnz52PNmjVwcHBAQEAAmjVrJjqLasCFCxfQt29ftG/fHvv27UOdOnVEJxHJpHXr1sHLywuLFy/GvHnzROeQYOXl5fjoo48wZswY/Pzzz1X6uQsKCnDp0iUkJSVJ/zMpKUl6B8datWpJx5GJiQkaNWokHVHPh1SDBg2kv7Z27drSbxcXFwMAiouLpdeNP378WDrmcnNzkZOTg+zsbNy6dUs6+p7/Wh0dHbRt2xaWlpawtraGpaUl2rdvLz3KRvQ6SjPGSktL8e2332LFihVwdXWFv78/GjduLDqL5EBsbCwmTJiAhw8fYuPGjXB1dRWdRNUoPj4ezs7O6NatG4KDg6GlpSU6iUimbdu2De7u7pgzZw6WLFkiOocEW7hwIVatWoXbt2+jVq1a7/157ty5g9jYWOnH+fPnUV5ejoYNG8LKygqWlpawtLRE27ZtYWJigiZNmlTh7+Lt3Lt3DxkZGUhJSZGOw0uXLiE3Nxfq6uqwtrZG586d0aVLF3Tt2hVGRkY13kiyTynG2JUrV+Dm5oYbN27g119/hbu7u+gkkjOFhYWYOXOm9PoIX19fPvxUAZ07dw729vZwcnLC1q1boaGhITqJSC7s3bsXo0aNwty5c7FgwQLROSTQvXv3YGJigo0bN0pvef82CgsLERMTg7CwMISHhyM1NRVaWlqwsbGBra0tunbtis8++0wuzlC5e/cuzp07h9jYWJw6dQpnz55FSUkJzM3N4ejoCCcnJ/To0YNnXRAABR9jEokE69atw+zZs2FlZYXt27fDzMxMkAo/WQAAIABJREFUdBbJsT///BMeHh7Q1dVFYGAgOnToIDqJqkhSUhJ69eqF3r17IzAwEGpqaqKTiOTK/v37MWTIECxevBhz584VnUMCjRw5Eunp6Th9+vRrf92dO3ewd+9eHDx4EMePH0dZWRk6dOgAJycn9O7dGzY2NgpxdkJJSQkSEhJw7NgxhIeHIzY2Furq6rCzs4OzszMGDx4sFyOTqofCjrFnz57B3d0d+/fvx/z58/H9999DXV1ddBYpgPv372PcuHGIiorC8uXLMW3aNNFJ9IFu3LiBbt26oWPHjti9ezfvqkr0nnbs2IExY8bA19cX3t7eonNIkFOnTqFr1644ffr0v960vH//PkJCQhAUFISTJ0+iQYMG6NevH5ycnODg4KAUd63Nz8/HkSNHcOjQIRw4cACPHj2Cra0thg0bhqFDhwo55ZLEUcgxdu3aNQwaNAiPHz9GcHAwunXrJjqJFIxEIsGyZcswf/58jBw5EuvXr+fpBnIqIyMD3bp1wyeffIIDBw5wiBF9oI0bN2LSpEkICAjgZQFK7NNPP4WlpSW2bNmCkpIS7N+/HwEBAYiOjka9evUwcOBADB8+HL1791bqU8LLy8sRGRmJ4OBg7N+/H3l5eejRowfGjx+PIUOGKMSRQXo9hRtj+/btw7hx42BpaYng4GA0bdpUdBIpsMjISIwcORJNmzbF3r17eRqsnLlz5w569OiBJk2aIDw8nIOaqIr4+vpi9uzZ2LFjB4YNGyY6hwTYuHEjpk6divHjx2P37t3Iz89Hv3794O7ujj59+nBkvERZWRmOHDmCLVu2YP/+/ahXrx6+/PJLeHh4oG3btqLzqJoozBirrKzE999/j59//hleXl5YuXKlUr/TQjUnMzMTQ4YMwY0bNxAYGAhnZ2fRSfQW8vPz0a1bN9SuXRtHjhzhgz2JqtjChQuxaNEihIWFoVevXqJzqIZUVlYiLCwMy5Ytw7Fjx9CiRQt4enpi3LhxMDQ0FJ0nNx4+fIgtW7bgt99+w7Vr12BnZ4cZM2agf//+UFVVFZ1HVUgh/tcsKirCkCFDsHLlSmzZsgX+/v4cYlRjjI2NceLECQwZMgT9+/eHv7+/6CR6g4qKCgwZMgRFRUU4cOAAhxhRNfj+++8xYcIEuLq6IikpSXQOVbPi4mJs2LABFhYWcHFxgba2No4ePYq0tDT4+PhwiL2jRo0a4ZtvvsGVK1cQHR2N+vXrY/DgwWjVqhXWrl2LwsJC0YlUReT+yNjDhw/h4uKCjIwMhIaG8u52JNTzU3OmTZuG5cuX890rGeXl5YU9e/YgNjYW5ubmonOIFFZFRYV0jJ0+fRoGBgaik6iKFRQUwN/fHytWrMCTJ08wevRozJw5ExYWFqLTFM61a9ewYsUKbN26Fdra2pgxYwamTZvGR+3IObkeY1evXoWzszO0tLRw6NAhtGjRQnQSEfbt2wc3Nzf07dsXgYGBqF27tugk+pulS5di4cKFiIqKQseOHUXnECm8wsJC6WmKUVFRvDZTQRQXF2P9+vX4+eefUVBQgGnTpuHrr79Go0aNRKcpvOzsbPj5+eHXX3+FlpYW5s6dCy8vL369IafkdowdP34cAwcOhJWVFfbt24cGDRqITiKSOnPmDFxcXGBiYoIDBw7w3WAZERgYiDFjxiAwMBAjRowQnUOkNLKzs9GhQwdYWVkhJCSEz/GTY+Xl5QgICMCiRYvw6NEjTJkyBXPnzoW+vr7oNKWTm5uLZcuWwd/fHzo6Ovj222/x1Vdf8VFOckYuz6E6dOgQHB0d8cUXX+DIkSMcYiRzOnTogPj4eDx58gR2dna4e/eu6CSld/bsWYwfPx6LFy/mECOqYQYGBvjzzz9x7NgxzJkzR3QOvacjR47A2toaX3/9NQYPHoy0tDQsW7aMQ0wQPT09LF26FOnp6Rg+fDhmzZoFa2trhIeHi06jdyB3YywkJASDBg3CxIkTsXXrVj4TiGRWixYtcOLECdSpUwddu3bFzZs3RScprezsbAwePBhjxoyBj4+P6BwipWRpaYm9e/di1apV2L17t+gcegepqalwdXVF37590apVK1y+fBm//vorH04sIxo1aoSVK1ciOTkZrVq1gpOTE5ycnJCSkiI6jd6CXI2x7du3Y9iwYZg5cyZ+/fVXqKioiE4iei19fX1ERUWhSZMmsLOzw9WrV0UnKZ2KigoMHz4choaGWL16tegcIqXWu3dv/Pzzzxg/fjy/UJQDxcXF+P7779GmTRtcu3YNhw8fRkhICG98JKPMzc0REhKC6OhoPHjwANbW1pg3bx6KiopEp9FryM01Y+vXr4eXlxcWLlyI+fPni84heicFBQUYMGAAkpOTcfjwYVhbW4tOUhrffPMNtmzZgoSEBDRv3lx0DpHSk0gkGDZsmPQOi3y0hGw6efIkPDw8cPfuXSxevBiTJ0/mtUhypLKyEhs2bICPjw8MDAywYcMG9OzZU3QWvYRcHBkLCAiAl5cXVqxYwSFGcqlu3bo4cOAAOnToAAcHByQnJ4tOUgp79uyBr68vgoKCOMSIZISKigo2b94MNTU1jB8/HnLynrDSePLkCby8vNC9e3eYmZkhOTkZU6dO5RCTM6qqqpg0aRIuX76MNm3aoHfv3vDw8EBeXp7oNPoHmR9jO3bswKRJk+Dr64uvv/5adA7Re6tVqxb27NmDjh07ok+fPkhNTRWdpND+H3v3Hpfj/f8B/FVyyClKjbHUyqHoREiFyaFCbTo504jJhm1yjo0xmzGHzUSRjSgphySxQjqSqW4SJWnDnFIWpdP9+8Pv9k063Hfd1/W5D+/n4+Gxx+7u+/q8rqv7+nS9r+tzfa7MzEx8+umn2LBhA50NJETGtG3bFuHh4YiJicGPP/7IOg75fxcvXoSpqSmOHDmC/fv3IzIyErq6uqxjkSbo2rUrjh07hsOHDyMyMhImJiaIiYlhHYtUI9PF2NGjRzF9+nSsX78e8+fPZx2HkCZr0aIFQkNDYWRkhBEjRuDvv/9mHUkhvXr1CpMmTYKDgwMWLVrEOg4hpBa9evXC3r17sXr1aqSkpLCOo9TKy8uxcuVKDB8+HBYWFsjMzMTkyZNZxyJS5ObmhszMTAwePBijR4/G0qVLUVZWxjoWgQzfMxYdHQ1nZ2csXboUa9euZR2HEKl6+fIlRo0ahUePHiEuLo5mpJKyRYsWITw8HOnp6Wjfvj3rOISQeixYsACRkZFIS0tDu3btWMdROrdu3cLUqVORmZmJLVu2YPbs2awjEY4FBgZi4cKF6NGjB4KCgtC7d2/WkZSaTF4ZS0lJgYuLCz7//HMqxIhCat26NU6dOgUNDQ3Y29ujqKiIdSSFcebMGWzfvh0HDhygQowQObBx40a0bt0aCxYsYB1F6YSHh8PS0hIA8Ndff1EhpiQ+/fRTXL16FS1atMCAAQMQEhLCOpJSk7liLCcnB05OTpg6dSo2b97MOg4hnNHQ0EBUVBRevXoFFxcXGi4gBU+fPoWnpydWrFgBGxsb1nEIIWJo1aoVgoKCEBwcTAeFPKmsrMSyZcvg5uYGT09PJCQkoGfPnqxjER4ZGBjg4sWLmDNnDiZOnIhFixahoqKCdSylJFPDFB8/fgxra2t0794d0dHRaNasGetIhHAuJycH1tbWcHR0xO+//846jlwbP348Hjx4gPj4eJr5ixA5s23bNqxZswbp6ek0+ymHnjx5gkmTJiExMRG7du3C1KlTWUcijIWEhMDLywuWlpYICQmBjo4O60hKRWaKsbKyMowYMQJFRUW4ePEiPXeEKJWUlBTY2dlh1apVWLZsGes4cikgIABff/01rl69CgMDA9ZxCCESEgqFcHBwQFlZGWJjY6GiosI6ksLJzMzEuHHjoKKigrCwMJibm7OORGTEtWvX4OLigtLS0jezLhJ+yMQwRaFQiJkzZyIvL+/NfTSEKJNBgwbh0KFDWLVqFYKCgljHkTv379+Hj48Ptm3bRoUYIXJKRUUFv//+O65duwZ/f3/WcRTOuXPnYGtrCz09PaSmplIhRt7St29fXL58GUZGRrC1tcWZM2dYR1IaMlGMbdiwASdOnMCpU6fQrVs31nEIYcLZ2RkbNmyAl5cXrly5wjqOXPn8889hZWWFTz/9lHUUQkgTdO7cGVu2bMGSJUtw//591nEUxh9//AEHBwc4OTnh9OnT6NixI+tIRAZpaGjg5MmT8PDwwLhx4xAQEMA6klJgPkzxzJkzGDt2LA4fPozx48ezjEKITJg1axZiYmJw+fJlaGtrs44j88LCwuDp6QmBQAA9PT3WcQghUuDg4AB1dXUcPXqUdRS599133+Hbb7/F6tWrsXr1ahr+ScSyYcMGrFy5Er6+vjSzOceYFmN5eXmwtLTEZ599hvXr17OKQYhMKS0tha2tLTQ1NREVFUUT2dTj2bNn6NOnD5YsWYIvv/ySdRxCiJTk5eXBxMQE+/btg6urK+s4cmvp0qX4+eefsWfPHkyfPp11HCJnDh06BE9PT8ydOxdbt26lQp4jzIqxkpIS2NraolOnTjh16hQdcBJSzd27d2FpaQkvLy9s2LCBdRyZNXv2bAgEAiQkJFAfQoiC2bp1KzZu3Ijr16/TsDoJCYVCfPHFFwgICEBISAg++eQT1pGInIqMjIS7uzumTJkCPz8/+lvLAWbF2MyZM3Hu3DmkpqZCS0uLRQRCZJpoCG9oaCj9Ia3F+fPnYW9vj9TUVJr1iRAFVFlZCRsbG5iZmWHXrl2s48iNyspKzJ49GyEhIQgPD4e9vT3rSETOnTt3Ds7OznBycsIff/xBj46RMibF2MGDB+Hl5YX4+Hj069eP7+YJkRs//PADfvrpJ2RkZKBr166s48iMyspK9O/fH+PGjcO6detYxyGEcCQjIwMDBgxAcnIyLCwsWMeReaLZqcPCwhAREYFhw4axjkQURFJSEsaMGQN7e3sEBQXRFTIp4r0Yu3v3LszNzfHdd9/hiy++4LNpQuSOUCjEqFGjIBQKcfbsWaiqysQEqMzt3r0ba9euxa1bt9C6dWvWcQghHJo/fz4yMjJw4cIF1lFkmlAoxPz58xEYGIizZ8/C2tqadSSiYFJTUzFy5Ei4uroiICCA7iGTEl6LscrKSowYMQKtW7dGZGQk/RIJEcODBw9gYmKCpUuXYvHixazjMFdYWIiePXvi559/xtSpU1nHIYRw7OnTp+jVqxd27twJd3d31nFk1uLFi7Fjxw6cPHkSdnZ2rOMQBRUfHw97e3vMmjUL27dvZx1HIfB6mn3jxo3IzMzE3r17qRAjRExdunSBv78/fH198ddff7GOw9y6detgYGCAKVOmsI5CCOGBlpYWVq9ejSVLlqC0tJR1HJm0Zs0abN++HaGhoVSIEU7Z2tri+PHj2LVrF1auXMk6jkLg7crYlStXYG1tjbCwMIwbN46PJglRKHPmzMHFixdx9epVtGrVinUcJrKzs9G3b1/ExcVh0KBBrOMQQnhSUVEBMzMzTJo0Cb6+vqzjyJR9+/bBy8sLwcHBcHNzYx2HKIkTJ07Azc0N27Ztg7e3N+s4co2XYqy8vByWlpawtrbGzp07uW6OEIX04sULWFhYwNXVVWmnu3d2dkaHDh3wxx9/sI5CCOHZmTNn4OrqiqysLJrQ6P/FxsbC0dERW7dupQNiwrudO3di/vz5CA8Ph7OzM+s4couXYmz9+vXw9/fHtWvX0LZtW66bI0RhXbx4ESNGjMClS5dgbm7OOg6vzp8/DwcHB2RnZ+ODDz5gHYcQwoC9vT10dXXh7+/POgpzAoEAQ4YMwZw5c7Bx40bWcYiSWr58OX799VckJibSY2YaifNi7ObNmzA3N8fRo0fh4ODAZVOEKAVvb29cvnwZKSkpSjW17JAhQ2BhYUE3DBOixFJSUmBra4sbN27A0NCQdRxmHj16hP79+6Nfv34IDw9Xqr8FRLYIhUJMmzYNFy5cQHJyMl21bgROizGhUIhhw4ZBV1cXBw4c4KoZQpRKUVER+vTpg6+++gqLFi1iHYcX0dHRGD9+PHJzc9G5c2fWcQghDCn7cOWKigqMHDkSpaWliI2Npcd7EObKysowcuRIVFZW4ty5c2jRogXrSHKF02Js165d8PX1xY0bN9CpUyeumiFE6Rw/fhxTpkyBQCCAvr4+6zicGzRoEIYOHYqffvqJdRRCCGNXr17FwIEDkZGRASMjI9ZxePf1118jKCgIV65cQbdu3VjHIQQA8PDhQ/Tv3x+ffPIJfv31V9Zx5ApnxZjouSDbtm2jKagJ4YCbmxsqKytx9OhR1lE4FRERgcmTJyM3Nxfa2tqs4xBCZICbmxvU1NQQHBzMOgqvDh8+jClTpuDPP//EsGHDWMch5C2JiYkYPnw4du3aBU9PT9Zx5AZnxdiCBQuQlpaGuLg4LhZPiNLLz8+HkZERIiIiFPa5MkKhEP369cOYMWOwfv161nEIITLi2rVrsLCwwJUrV2Bqaso6Di9u3LgBS0tLrFu3Dl999RXrOITUaseOHViyZAkSEhKUbqKxxuKkGLt+/Tr69euHpKQk9OvXT9qLJ4T8vzVr1uDIkSNIS0tTyBu4w8PDMWPGDOTn56Njx46s4xBCZMiECRNQXl6O8PBw1lE49+rVKwwaNAi9evVCSEgI6ziE1Gv69Om4cuUKUlNToa6uzjqOzOOkGLO3t8cHH3yAgIAAaS+aEFLNy5cvYWRkhGXLlinkM2YGDx6MQYMGYevWrayjEEJkzNWrV2FpaYmbN28q/MyKixYtQnh4ONLT09G+fXvWcQipV3FxMSwsLGBvb0/3j4lB6sXYyZMnMWXKFNy8eZNmPSOEB4cOHcKCBQuQnZ2NDh06sI4jNcnJyRgyZAhu374NXV1d1nEIITJo+PDh6N27N3bu3Mk6CmdiYmLg4OCAc+fOwdbWlnUcQsRy6dIlDBkyBGFhYRg3bhzrODJNqsVYRUUF+vTpg5kzZ2Lp0qXSWiwhpB5CoRC2trYYOHAgtmzZwjqO1Li6ukJNTY2G5BBC6hQZGQl3d3fk5+cr5KzNBQUFMDU1haenJ9atW8c6DiESWb9+PX755RdkZGRAR0eHdRyZJdViLCAgAKtWrcLt27fpuReE8Oj8+fNwcHBATk6OQkx1nJOTg169eiEpKQkDBw5kHYcQIqOEQiH69u2LSZMmwdfXl3UcqfP09ERmZiYSEhLQvHlz1nEIkUhlZSU++ugjvP/++3RitR5SK8bKysrQs2dPfP3111iwYIE0FkkIkYCdnR169uwJPz8/1lGabMGCBRAIBDh37hzrKIQQGefv748VK1YgPz9foSYLOHv2LJydnXHlyhUYGxuzjkNIo9y+fRsmJiYIDg6Gs7Mz6zgySVVaCwoICEBlZSXmzJkjrUUSQiSwbt06BAYG4s6dO6yjNMmTJ08QGBiIL7/8knUUQogcmD59Opo3b44DBw6wjiI1L168wNy5c7Fs2TIqxIhcMzAwwJo1a/D555/j+fPnrOPIJKkUY6Wlpfj++++xcuVKtGrVShqLJIRIyNraGnZ2dvjuu+9YR2mS33//HVpaWnBycmIdhRAiB1q2bImZM2cq1Kxtq1atgrq6OpYvX846CiFN9tVXX0FHR4e+z3WQyjDFrVu3Ytu2bbh58yZatGghjVyEkEa4dOkSbG1tcf36dfTo0YN1HIkJhUIYGxtj8uTJWLVqFes4hBA5cefOHRgaGiIxMRGDBg1iHadJMjIyMGDAAFy4cAFWVlas4xAiFVevXoWVlRUSEhJgaWnJOo5MaXIxVlZWBj09PaxatUohn3NEiLxxcHBA165dsWfPHtZRJHbx4kXY2dnhzp07CjERCSGEP/b29tDV1YW/vz/rKE1iZ2eHXr16KfR0/UQ5ffXVV7h06RLi4+OhoqLCOo7MaPIwxeDgYJSXl8PT01MKcQghTeXj44MDBw7gwYMHrKNIbPfu3XBwcKBCjBAiMS8vLwQHB6O4uJh1lEY7duwYrl69irVr17KOQojUffPNN8jOzsahQ4dYR5EpTSrGhEIhNm7ciLlz5yrUDEaEyLORI0eiT58++O2331hHkcizZ88QFhaGzz77jHUUQogc+vjjj6Guro6DBw+yjtIor169wqJFi7Bq1Spoa2uzjkOI1HXo0AFr1qzB8uXL8fLlS9ZxZEaTirEzZ84gNzcXX3zxhbTyEEKk4Msvv8Svv/4qV2eIDxw4AE1NTTg4OLCOQgiRQy1atMCMGTMQEBDAOkqjbN26Fc2bN8f8+fNZRyGEM3PmzEH79u2xceNG1lFkRpPuGXNwcICuri52794tzUyEkCaqqKiAgYEBfHx85OYPu5mZGZydneV+NkhCCDtZWVkwMjJCeno6TE1NWccRW0FBAfT19REYGAgXFxfWcQjhVFRUFNzc3JCbm4v33nuPdRzmGn1lLD09HWfPnqVnAREig9TU1DB//nxs2bIFVVVVrOM06Pr168jIyMDEiRNZRyGEyLHevXvDwsICwcHBrKNIZNOmTTA0NMT48eNZRyGEc46OjjA3N8cPP/zAOopMaHQxtmvXLgwZMoQeRkiIjPr0009x//59nD59mnWUBoWGhqJPnz7o06cP6yiEEDnn4eGBw4cPs44htkePHmH79u1Yu3YtzTBHlMbatWvh5+eHe/fusY7CXKOKsZcvX+LgwYOYM2eOtPMQQqRES0sLLi4ucjHFfUhICDw8PFjHIIQoAA8PD9y+fRupqamso4jlhx9+gImJCcaOHcs6CiG8GTFiBKysrPD999+zjsJco4qxkJAQqKmp0bhmQmTcrFmzEBERgX///Zd1lDplZGQgKysLEyZMYB2FEKIAPvzwQwwYMAAhISGsozTowYMH8PPzo6nsiVJau3YtAgICkJ+fzzoKU40qxvbs2YNp06ahVatW0s5DCJEiOzs7fPDBB9i3bx/rKHU6fPgwTE1N0atXL9ZRCCEKwsPDA6GhoWjCHGW82LZtG3r37o1Ro0axjkII74YMGYJ+/fph8+bNrKMwJXExdu3aNSQkJMDLy4uLPIQQKVJRUcHs2bOxZ88emT0oOXz4MF0VI4RIlbu7O/Lz83Hp0iXWUepUXFyMXbt2YdGiRayjEMLMkiVLsHfvXhQWFrKOwozExVhgYCCsrKzoRntC5MSMGTOQm5uLuLg41lHekZ6ejuzsbBryTAiRqu7du2PAgAEIDQ1lHaVOgYGBaN++PZ2MIkrt448/RufOnZX6MVkSFWNVVVUICQmhjoMQOdKlSxcMGzZMJqd6joqKgoGBAXr37s06CiFEwTg6OiIqKop1jFpVVFRg69atmD9/PtTU1FjHIYQZVVVVLFy4EFu3bkVZWRnrOExIVIwlJibiwYMHcHd35yoPIYQDHh4eCAsLQ0VFBesobzl16hQcHBxYxyCEKCBHR0dkZmbK5OQAx48fx6NHj+iWD0LwerKx0tJSuXokhTRJVIwdPnwYNjY26Nq1K1d5CCEccHV1xbNnz3D+/HnWUd4oKipCcnIyHB0dWUchhCigAQMGQFNTUyavju3evRseHh7o0KED6yiEMKeuro4pU6Yo7VBFsYuxqqoqHDlyhK6KESKHtLW1MXz4cJma6vnPP/+Eqqoqhg8fzjoKIUQBqaqqwsHBQeYefJ+Xl4c///yTntVKSDWzZ8/GxYsXkZWVxToK78QuxuLi4vDw4UMqxgiRUxMmTMDRo0dRXl7OOgoA4PTp0xg2bBhat27NOgohREHZ29sjJiZGZvo9AAgICECfPn0waNAg1lEIkRmmpqYYOHAgAgICWEfhndjF2NGjR2FtbY3OnTtzmYcQwpFPPvkEhYWFOHfuHOsoAF5P3kH3ixFCuOTg4IAXL14gPj6edRQAryfu2LdvH10VI6QWs2fPxh9//KF0E3mIXYxFRkZi7NixXGYhhHBIS0sLAwYMkIkhO5mZmbh37x496JQQwikdHR2Ympri7NmzrKMAAM6ePYvHjx9j8uTJrKMQInMmTJiA4uJiREZGso7CK7GKsZycHNy+fRujR4/mOg8hhENjxoyRiZvZ4+PjoampCWNjY9ZRCCEKztbWFgkJCaxjAABCQkIwatQoaGpqso5CiMxp164dxowZI5OP4uGSWMXYqVOn8P7778PCwoLrPIQQDo0ePRpZWVm4e/cu0xyJiYmwsrKCqqrEz50nhBCJ2NjY4NKlS8yHPr169QrHjh2Dh4cH0xyEyLIJEyYgMjISL168YB2FN2IdCUVHR2PUqFFQUVHhOg8hhEMDBgyAtrY2Tp06xTRHQkICbGxsmGYghCgHW1tblJaW4sqVK0xznD59GqWlpfj444+Z5iBElo0ZMwYAlGqoYoPFWElJCc6dO0f3ixGiAFRVVTFq1ChER0czy/Do0SPk5ORQMUYI4UW3bt2gq6vLfKhiaGgoHBwcoKGhwTQHIbKsTZs2GDt2rFI9ALrBYiw+Ph6lpaUYMWIEH3kIIRwbPXo0YmNjUVlZyaT9hIQENG/eHAMGDGDSPiFE+djY2DAtxsrLy3Hy5EmMHz+eWQZC5IWrqytOnTqFkpIS1lF40WAxlpCQAGNjY7rZlBAFYWNjg//++w/p6elM2k9ISICFhQU9X4wQwhvWxVh8fDyeP38OR0dHZhkIkRcjR45EWVkZ4uLiWEfhRYPFWGJiIqytrfnIQgjhgaGhITp37szswCQ5ORlWVlZM2iaEKCdra2s8fvwYt2/fZtL+mTNnYGFhAR0dHSbtEyJPNDU1YWVlJROzP/Oh3mKssrISSUlJVIwRomCsra2ZFGNCoRAZGRkwNTXlvW1CiPIyNjaGmpoaMjIymLQfGRn5ZmICQkjD7O3tmd7fzqd6i7GMjAwUFxfD1taWrzyEEB6wGrKTl5eH//77D2ZmZry3TQhRXi1btkTPnj2ZFGP379+HQCCAvb09720TIq8cHByQlZWFO3fusI7CuXqLscTERGhra8NLzFvqAAAgAElEQVTQ0JCvPIQQHtja2uKff/5BXl4er+0KBAI0a9YMffr04bVdQggxMTFhcq/s2bNn0bZtWwwePJj3tgmRV/3794empibOnj3LOgrn6i3GkpKSqPMgRAFZWFigZcuWSE5O5rXdtLQ0GBoaQl1dndd2CSHExMQEAoGA93YTEhIwePBgNGvWjPe2CZFXqqqqGDx4MPNHUvChwWGK5ubmfGUhhPCkefPmMDIy4v0ssUAggImJCa9tEkII8LoYy83NxYsXL3htlyZCI6RxbGxskJiYyDoG5+osxsrLy5GVlUUHToQoKBZniQUCAU3eQQhhwsTEBFVVVbh+/TpvbRYUFCAzM5Meck9II9jY2CAnJwf//vsv6yicqrMYu379OsrLy6kYI0RBmZqa8lqMlZaWIicnh4oxQggT+vr6aN++Pa5du8Zbm8nJyVBVVcWgQYN4a5MQRTFw4EC0aNFC4Ycq1lmMCQQCqKur0+QdhCgoMzMz5Ofno6ioiJf27ty5g8rKSnz44Ye8tEcIITXp6+vz+qyxpKQkGBsbo3379ry1SYiiaNWqFczMzJCUlMQ6CqfqLcb69OlDN5wSoqBEV735ujommrlRT0+Pl/YIIaQmPT09XmeRpXvvCWkac3NzZs8H5Eudxdi1a9doOBEhCqxz587Q0tLitRjT0tJCu3bteGmPEEJq0tfX57UYo0mLCGkavm+pYKHOYiw7OxsGBgZ8ZiGE8MzQ0BC5ubm8tJWXl0dXxQghTH344Ye89XlFRUXIy8ujYoyQJjAxMcG///6Lx48fs47CmVqLsaqqKuTn59OBEyEKjs/7J/Ly8qCvr89LW4QQUhs9PT38+++/KCkp4bwtgUAAoVBIxRghTSDaf1g8sJ0vtRZj9+/fR1lZGRVjhCg4Pu+foCtjhBDWRH0QH/2eQCBAx44d0bVrV87bIkRRaWpqomvXrgo9VLHWYoxutCdEOfBZjN25c4f6FEIIU3wWY7m5uejRowfn7RCi6AwMDHidBZVvdRZjLVu2RJcuXfjOQwjhkZ6eHp49e8b59PYVFRV4/Pgx9SmEEKbatWuHNm3a4MGDB5y3RaMBCJEOvmdB5VudxZienh5UVFT4zkMI4RFfZ4mfPn0K4PVwA0IIYUlHRwcFBQWct0OjAQiRDqUsxh48eEBnsAlRAt26dQMAzs8Siw58tLW1OW2HEEIaoqmpiUePHnHeDl0ZI0Q6+H4kBd9qLcaePHkCLS0tvrMQQnjWpk0btGzZkvMDE9GUtNSvEEJY09LS4vzK2H///YenT59SMUaIFOjp6eHFixcKO719rcXY06dPaTgRIUqCjwMTGqZICJEVWlpab/okrty/fx8AaJQRIVLw/vvvAwD++ecfxkm4UWsxVlBQAB0dHb6zEEIY6NSpE+cHJgUFBWjfvj1atGjBaTuEENIQbW1tzvs80fLpWIqQphONquF6v2Wl1mLs0aNHcncG29nZGSoqKnB2dua13fz8fF7aUVFRkYsJVWrL2dhtxNU6N2W5fP2++dSpUyfOL/0/efIEnTp14rQNroi+LzX/OTs7w9/fn5d7TyQhze+3vPQ7sob1dqQ+rn6ampqc93mi5cvqsVR6ejr8/f3fHDutWrUKycnJrGPJHGke00iDsu7bmpqaaNasGS8T77BQ55Uxebq3Iz09HREREQCAiIgI3p7SvXnzZnTv3p2XtuSVIm0jRVqX6jQ1NTk/21RYWIj27dtz2gbfIiIiMGfOHHh5eclcQdYYivr95ps8b0d5zi4JTU1NPH/+nNM2nj59ijZt2qBVq1acttMYmzdvhrm5OebMmfPm2GndunUYPHgwnJ2deTuGkkfyuo/Ia24RFRUVXk6isPJOMfby5UuUlJTI7Nmc2ly6dAkAcOjQobf+n2s+Pj68tCNPhEIhhELhm/9XpG2kSOtSHR/3jJWWlqJt27actsE10Xdb9K+wsBC+vr6IiIhAbGws63hNVtv3u+b+TBomz/2EPGeXhJqaGl68eMFpGwUFBTI5e+zmzZvh4+ODuXPnIi0t7a3+LCYmBhERETA3N5frqyjSpCjHNPKauzo+7vVk5Z1irLy8/PUPVGu9aCZzioqKMGfOHDg5OWHixIlwcnLCnDlzOH+ILSGKQlVVFWVlZZy28erVK06Xz4KGhsabP3AHDx5knIYQIq7WrVtz3kZBQQHatWvHeTuSuHXrFnx8fODk5ISdO3fCzMzszc80NDRgZ2eHpKQkAEBoaCirmITUio9RPKzUWYxpaGjwHqYxrly5AgCYPXv2W/8VvV5TUVERgoOD34yT9vb2xq1bt956T11jcqu/Xv3ntb0/NjYW3t7eb+4tkeaZ8+Dg4DfLDQ4OrvM91e+jq+t91XOKxo3XHKJQff1EbauoqCA4OPidolfcbZSeno7Nmze/df9NXRmbovp2qG/5DeWRhXXhioaGxpv9niuVlZUyd2AiDaJ+UjTUpzpx9sHG7lvivF5dY7/fdS1bknV79OjRm7altW9Ub3/VqlW4devWO1lF/5+fnw9nZ2esWrVK7HVITk5+s+zqRO3U7COr96E1268tO1fbgvo48TRv3pzzE7ZlZWUydxx14cIFAMCKFSvqfI+VlRViYmLg7u7+zs8k7dMiIiLevLd6H1mzr+Pq8/W9Lm7/1NAxjbOzM7y9vd9pr6io6M0xZmPRvv02NTU1zo9VmBHWcPfuXSEA4cWLF2v+SCbNnTtXCED48OFDoVAoFD58+FAIQDh37txa3+/k5CQE8M6/tLS0N+8RvVZT9ddrW4aIr69vrT/39fVt9HqKlrFp06Z3lnvo0KG33itu+ydOnKj1fQCEMTEx77Rd2/udnJwk3kb1tVt9Xer6PYhL9N2o/q/69hNnO4jyNHVdZNmyZcuEJiYmnLYxefJk4dixYzltgyv1fQ8LCwtr3Q/E3Qcbu2/V97o0v9+1tSnputXW5zZl36ir/bq2g+j91dtsaB1Ev9ea637o0CEhAOHu3btrXdeGtqM4/bckqI9rnNDQ0Cb9bRGHt7e30NbWltM2JCXaFwsLCyX+rDT6tLS0tFqXU9vf/aZ+vqa6+oeG+qfa9uPq/2JiYt5kqy4pKenNejQG7dvvGjt2rHDmzJmsY3CizmIsNTWVRR6JiLLW7AxEO+vdu3ffel30xfP19X3TGYn+uFYv3iTdmasT7ZjV2ygsLHyTqeYOK67qHZ9ouaL1qX7QVr190frfvXv3Tfu1FVnVt5OoA6ltezg5OYm9zPq2kei1pKSkN6+JfpcNfVZcDW2H2tppTB5xPyvL1q5dK+zbty+nbUyePFno6urKaRtcqet3+fDhw1oP9BuzDzZm36rrdS6+301Zt+p9lujzNQtNcdXVfvUDl5rt1zyoEHcdRP9/8+bNN5+tfuAmcvPmTSHwvwKtvu3YUP8tjW1BfVzDTp48KQQgLC4u5qwNb29v4ahRozhbfmM09ncmrf2+vtel/fmG1l3c/kmc5Ts5Ob1zHCoqnKr3H+Kifbt2Y8eOFU6ePJl1DE68s7UFAoEQgDAjI4NFHomICqnqXySh8H8FRc0/wjWvotWlsQc9QuH//oDXPPMkOtO6adMmsdatrrZrZq+ZQbSONQtR0Q5WvcgSHVhs2rRJGBMTU+fZMlEbNTuV2pYpbscoFL4+mE1LSxOeOHGi3k6mMeoqyEUHTrUttyl5GvqsLNuwYYNQV1eX0zacnZ3lthMV/S7r+ufk5PTWviPJPtiUfauu16X5/W5K/yJunyUJSfbrutoXdx1qntkWtSH6uyM6sVbzzHh925HVthBR1j6uplOnTtX6d1qapk6dKnOjARr7O5Pmfl9zm4u730r6+ZokbUeS5Yv6gOrbR/S3oTFo367dhAkThBMnTmQdgxPvbO2MjAwhAOH169dZ5JFIQwdJDR1YNLTchl6vrw1xM0m6ro3JVNfP0tLS3jmorH6GqzHLFDdPfUONxGm3IZJkbmoecT4ryzZv3sx5MSbPZ7Tq+t06OTkJd+/eLdEBdlP216b0AY39fvORVxJct1/9Z6ITaKIz3qIiTPQ+0ZUw0Rnw+pbPelsIhcrdx9V08eJFIdDwidmmmDx5snDcuHGcLb8xREWVpEUol/sdq8839n11fc7JyenNyXbRsVXN4czion27dvJ8u0ND6izGZP3KWM1Coq5/4twLVlNTdmZxMjVGUzuY+n6Wlpb21lhkJycnsbdbYzqu3bt3C4HXZ9NiYmKEaWlpb+71E3ddGiJJ5qbkEfezsmzjxo1UjNVD0t+lNA5cJHlvQ+9ryvebj7yS4Lr9mj8THagIhcI3xbdQ+L9tKvpM9REP4mxHcbI0hPq4xrtw4YIQgPDJkyectSGLB451jSaqTvS7rT7sjsv9jtXnG/u+uj4nGnb88OHDd66eS4r27drJ4gkOaXlna9+4cUMIyH4xVtdlXJHa7idryjBFcb/cjT3z1BBxO466hhOILm/XNbGJUPh6m9U3BruuZdbXaYt7YFLbDfNN6RBqu99DtI7itCNuHnE/K8s2bNgg1NfX57SN8ePHK00xJsk+2JR9SygUr1+S5ve7MetWkzT267qGS4nTf0iyDtWHKlY/uKo+FL7mwa24/UR9r4uD+rjGE90zxuUwRU9PT5krxmobVliT6AC9+neay/1e3P22KZ+X5GRvY/pTofB/+8ShQ4fe3ALSWLRv187NzU1ujyMa8s7U9qLnb7x8+bLmj2TGo0ePsG7dOsydOxe6urq1vkdXVxdz587FunXr8OjRIwDAsGHDAAC//PLLm2ltRVOkVp9+1MnJCcDr6Y2B11OU/vLLL3XmqT5Frmg62E2bNr1pF3g9hbyKigo2b94s8fpKQtS+v7//m4c25ufnY//+/QCAMWPGvHmvaDpm0Xrq6urC0NCwzmXXtczhw4c3mKu2aYRFjxQoKirCpk2bGlyGJESZfHx83srs7+9f52fEzcP3unCNjwcyq6urc/6QVVkhyT4oIs6+JWm/VFNTvt8ijVk3aRJtj5rt17df1yTJOhgZGQEAnJ2dAQB6enpvvT5p0qS3/r86rqdOpz6u6Vq2bMnZstXV1WXuOEpXVxebNm2Cn58fvL2933pEw6NHj+Dv7485c+Zg06ZNsLKyevMz1vu9JJraT4qr5j6ioaGBQ4cOYdKkSYiIiICvr2+jl037du1KSkpYR+BOzepMHqa2r3mWsi6ioYzVpxYVZ2p70dnO6v9qm1K0+rKqnxmqawyuk5NTo8eo12y7vtfFnYJWdHa3tn/VxzpX/3xDyxRnG9W2fav/E50NqmudxVVbXtFZv+rLFTdPU9ZFlvExtf2UKVNk7iyxuBrzPZR0Gmhx9i1x+yVpfr+b0r9I0mdJQtKp7SVZRm2PHxG9t+bPRFcLar4u7nZsKKM4qI9rnOr3/3FFFqe2F6lvH6rrPieu9ntx91txX29sPylunrqO+4TCt68q1TcUVBy0b7/L0dFROGfOHNYxOPHON/HZs2dCAMJz584xiCMeJycnsWepqfnewsLCt77Qvr6+tX7hql9qrmvK4rS0tDd/kGvmOXTo0FvTLdd2o78kJO2gqud3cnKq85kRNZ/b4evr+85zMaq3IerUxJ3so65tVNvvoOZNr009UKm5HWo+c6M6cfI0ZV1kmY+Pj9DGxobTNmRxmmdxNfZ7KM4+KMm+VXOZde0n0vx+N6V/kbTPkkT19kXrI+7BliTrIBT+76RVzd+J6KRgzYMuSbYj9XFsBAUFCZs1a8ZpG0uXLhVaWVlx2kZTJCUlvfnbL7ofsq7bPkS42O8bWyTV93pj+0lx3lffcV/190tjchjat99ma2sr9Pb2Zh2DEypCoVCIaoqKitChQwecPHkSY8eOBSGip7XX+KoQBTFv3jwIBAJcvHhRrtuQR7RvSY+Kigrmzp2LnTt3so5CZNyePXuwaNEiFBYWctbGqlWrcOzYMQgEAs7aILLl1q1b6NWrF/VDHBk0aBBsbW05v92HhXfuGVNXVwcAlJWV8R6GEMK/srKyN/eKcqVNmzacLp8oBxUVlbfucwVen0AU/XEW3RdMSH34OL7R0tLC06dPOW+HyA7RPXRz585lnEQxFRQUoFOnTqxjcEKt5gstWrRAu3btUFBQwCKP0hCdERcHnTWn7cWlp0+fQktLi9M2WrZsyfmEBkT+SLpfnzhxAs7Ozhg8ePA7P3dycoKjo6M04/GK+jj+lJaWQkNDg9M2NDU16ThKSVTfd319fWFmZlbnzxtC+3bdnjx5orDF2DtXxgBAW1sbT5484TsLIYSBp0+fQltbm9M26MCESIOTkxNiYmLemqls7ty5OHToEPbv38/5ATZRDAUFBejYsSOnbejo6ODVq1coLi7mtB3CnmgGx02bNuG7775jnEYxlZeXo7CwkPMTx6y8c2UMeH15nYoxbsnT2Q9ZyCoLGRTV48ePoampyWkbWlpaVIzVQtm/141Zfzs7O9jZ2SncQY+yfxf49PjxY84P6kTLf/z4MeePDiFsnThxot6f077ddKLjB66PVVip9cqYpqYmjXUmREkUFBTwcmBSUlIic8/dIYQon6dPn/JyAkrUFiGkaUQXiHR0dBgn4UadwxTpLDYhyoGPYYqi5dOBCSGENT4mAujWrRtUVVXx999/c9oOIcpA9PDrDz74gHESbtRajGlpaeHRo0d8ZyGE8KygoACVlZWcXxkTnYV+/Pgxp+0QQkhD+JgIoEWLFnj//fdx584dTtshRBnk5eVBS0sL7dq1Yx2FE7UWY926dcO9e/f4zkII4dk///wD4PU+zyVRMUZX3AkhrD158oSXiQD09PSQl5fHeTuEKLq8vDzo6emxjsGZWosxPT093Lt3D+Xl5XznIYTw6M6dO1BRUYG+vj6n7WhpaaFZs2Y0TJEQwhwfj/MAqBgjRFry8vI4P05hqdZiTF9fH5WVlTTWmRAFl5eXhy5duqBly5act9W1a1fqUwghTD1+/BivXr3i5d4TKsYIkQ6lvTIGgDoRQhTcnTt3eOvg6MCEEMKa6B4uPvq9nj17IicnB5WVlZy3RYgiu3nzJnr06ME6BmfqnMCjXbt2dOMpIQqOz7NNVIwRQljLy8uDmpoa5/fJAoCJiQlKSkqQk5PDeVuEKKr8/HwUFRXBzMyMdRTO1FqMAa+HKtKBEyGKLTc3Fx9++CEvbVExRghhLS8vD926dYOamhrnbRkZGUFNTQ0CgYDztghRVAKBAKqqqujbty/rKJypsxjr2bMnsrOz+cxCCOFRVVUVcnNz0bNnT17aoxM8hBDW+DwB1bJlSxgZGVExRkgTCAQCfPjhh2jTpg3rKJypsxgzMTFBWloan1kIITzKzc3FixcvYGJiwkt7enp6ePHiBT1rjBDCDN+zspmYmFAxRkgTCAQC3o5TWKm3GMvJyUFJSQmfeQghPBEIBFBTU4ORkREv7YnuTaN7UQkhrPA9K5u5uTmuXr3KW3uEKJorV67A3NycdQxO1VuMVVZWIjMzk888hBCepKWloWfPnrxMaw8AH3zwAdTV1Wn4MyGEifLycty5c4fXWdmsra2Rl5eH+/fv89YmIYri6dOnuHXrFqytrVlH4VSdxZiBgQHatWtHl9cJUVB8X/pv1qwZjI2NkZ6ezlubhBAikpWVhbKyMl77vf79+6Nly5ZITEzkrU1CFEViYiJUVVVhZWXFOgqn6izGVFRU0LdvXyrGCFFQLMZh0/0ThBBWBAIBWrZsydukRQDQqlUr9O/fH/Hx8by1SYiiiI+Ph7m5Odq2bcs6CqfqLMYAGutMiKJ6/vw5cnNzYWFhwWu7pqamVIwRQpgQCARvppvnk42NDV0ZI6QREhISYGNjwzoG5+otxqytrZGSkoKKigq+8hBCeJCcnAwAvF/6NzMzw71791BQUMBru4QQwmpWNltbW1y9ehXFxcW8t02IvCopKcGVK1cwZMgQ1lE4V28xZmNjg5cvX9IU94QomISEBBgZGUFTU5PXdkUHQhkZGby2SwghAoEAZmZmvLdrZ2cHFRUVxMTE8N42IfLqwoULKC8vx4gRI1hH4Vy9xZi+vj66dOmChIQEvvIQQniQkJAAW1tb3tvV1tZG586daRIPQgivioqKkJ+fD1NTU97bbtu2LWxtbREdHc1724TIq6ioKAwePBgdO3ZkHYVz9RZjwOurY1SMEaI4KioqkJKSwmwctoWFBV1tJ4TwSnT/O4srYwDg6OiIyMhIJm0TIo+io6MxevRo1jF4IVYxRjeeEqI40tPTUVxczKwYGzx4MJKSkpi0TQhRTomJiTA0NISOjg6T9h0cHJCfn4+srCwm7RMiT3Jzc3Hz5k04OjqyjsKLBosxW1tb3Lt3D7m5uXzkIYRwLC4uDl27dsWHH37IpH0bGxvcvHkTjx8/ZtI+IUT5xMfHMxmaLWJiYoLu3bvT1TFCxBAVFYX33nsP/fr1Yx2FFw0WY/369YOOjg6NdSZEQURHR8PBwYFZ+1ZWVlBTU6Mr7oQQXlRVVSEpKYn5FNmurq4IDQ1lmoEQeXDkyBG4urpCVbXBMkUhNLiWqqqqGD16NE6dOsVHHkIIh0pKShAXFwd7e3tmGVq3bg1zc3MqxgghvLh+/ToKCwuZF2MeHh64dOkS8vLymOYgRJY9ePAAcXFxmDBhAusovBGr5HR0dMT58+fx6tUrrvMQQjh07tw5lJWVYdSoUUxz2NjYID4+nmkGQohySEhIgJaWFnr37s00x8CBA9G9e3e6OkZIPUJDQ/Hee+8xHVbMN7GKMXt7e7x8+RJxcXFc5yGEcCg6OhqDBw9Ghw4dmOawsbHBX3/9hdLSUqY5CCGKLyEhAdbW1lBRUWGaQ0VFBR4eHjh8+DDTHITIssOHD8Pd3V1phigCYhZjWlpaGDBgAN03Roici4qKYnq/mIitrS1evXqFy5cvs45CCFFwcXFxGDp0KOsYAICJEyciNTUV2dnZrKMQInPy8/ORlJSEiRMnso7CK7HLzrFjx+LkyZNcZiGEcCg7OxvZ2dkYM2YM6yjo0qULTExMcPr0adZRCCEKLCsrC/n5+Uzvk63OwsIC/fr1w969e1lHIUTmBAYGonfv3hg8eDDrKLwSuxhzd3fHzZs3IRAIuMxDCOFIaGgoevToAQsLC9ZRAABjxoyhYowQwqmoqCh069YNJiYmrKO84eXlhcDAQJSXl7OOQojMqKqqwt69e+Hl5cU6Cu/ELsZ69+4NU1NTGutMiJwKCQmRqdmJ7O3tcfXqVTx8+JB1FEKIgjp9+rRMDM2ubsqUKSguLkZERATrKITIjNOnT+Pff//FtGnTWEfhnUR3x7m7u1MxRogcysrKQkZGBjw8PFhHecPGxgbt27enq2OEEE6UlJTgwoULMleMtW/fHh4eHggICGAdhRCZsWfPHowfPx6dOnViHYV3EhVjEyZMwK1bt3D16lWu8hBCOBASEgIjIyOZGqrTvHlz2NnZUTFGCOFEbGwsqqqqMHLkSNZR3jFnzhxER0cjJyeHdRRCmHvw4AEiIiIwd+5c1lGYkKgY69GjB/r160dXxwiRM7I2RFFkzJgxOHPmDCorK1lHIYQomNOnT8PKygoaGhqso7zDysoKNjY22L59O+sohDD3888/o2/fvvjoo49YR2FC4kn8J06ciJCQEFRVVXGRhxAiZenp6cjKysKkSZNYR3mHg4MDCgsLkZiYyDoKIUTBREZGYty4caxj1GnRokUIDAxEYWEh6yiEMFNcXIyAgAAsW7aMdRRmJC7GZsyYgXv37iEmJoaLPIQQKdu9ezdsbW3Rs2dP1lHe0a1bN1hbW+PIkSOsoxBCFMjly5eRl5cHd3d31lHq5OTkhM6dO+PXX39lHYUQZvz9/dG+fXu4uLiwjsKMxMWYjo4OPv74Y/j7+3ORhxAiRSUlJTh48CBmz57NOkqdPDw8EBoaSlfbCSFSExISggEDBkBfX591lDqpqqpi8eLF+O2331BWVsY6DiG8q6iowNatW/HVV19BTU2NdRxmJC7GgNfPyDh+/DgePXok7TyEECkSXXFyc3NjnKRubm5uePjwIS5evMg6CiFEAQiFQoSGhsrU7LF1mTZtGlRVVekh0EQpBQUFobS0VKZPGPOhUcXYyJEj0bVrV/z+++/SzkMIkSJ/f39MnToV6urqrKPUqUuXLhg6dChNDEQIkYrk5GT8/fffMj1EUURdXR0rVqzA+vXrUVpayjoOIbwpLy/HmjVrsGTJErRp04Z1HKYaVYypqqpi1qxZCAgIgFAolHYmQogU3Lx5E/Hx8XJxxsnDwwNhYWE0qyIhpMkOHz6MwYMHQ1dXl3UUsXh5eaFZs2bYvXs36yiE8CYwMBClpaWYN28e6yjMNaoYA4CZM2ciPz8fZ86ckWYeQoiU7NixAzY2NjA1NWUdpUEuLi548uQJzp8/zzoKIUSOVVVVyc0QRZEWLVrA19cXGzZswMuXL1nHIYRzr169wvr167FixQqZHrnDl0YXY126dMG0adOwZcsWaeYhhEjBs2fPEBgYCB8fH9ZRxPLee+9h9OjROHDgAOsohBA5du7cOTx8+FAmn6tYH09PT7Rt25ZmViRKQXQVWB5G7vBBRdiEcYaZmZkwMTHBX3/9BTMzM2nmIoQ0wbp167B//37cuHEDqqqNPufCq/DwcEyfPh33799H+/btWcchhMihyZMno7S0FOHh4ayjSOzYsWP49NNPcevWLWhra7OOQwgnCgsLYWhoiF9++UUmn3/KQpOO0oyNjeHo6Iiff/5ZWnkIIU1UVlaG3377DT4+PnJTiAGvn7nTtm1bBAUFsY5CCJFDT58+RXh4OLy8vFhHaZRPPvkE/fr1g6+vL+sohHDmm2++Qe/evTFx4kTWUWRGk4/UfHx8EBwcjAcPHkgjDyGkiX7//XeUl5dj6tSprKNIpHnz5vj0008REBDAOgohRA7t378fOjo6cHBwYB2l0bZt24Z9+/YhPRAGeWMAACAASURBVD2ddRRCpC4rKwu7du3C1q1boaKiwjqOzGjSMEURS0tL2NnZYePGjdLIRAhppKqqKvTt2xdTpkzBypUrWceRWE5ODnr27InLly+jf//+rOMQQuSIiYkJXF1d8e2337KO0iTz5s3DjRs3EBsbSwesRKE4ODigS5cuCAwMZB1FpkilGIuIiMDkyZNx+/Zt6OjoSCMXIaQRgoODMW/ePNy5cwcaGhqs4zTKyJEj0aNHD+zcuZN1FEKInEhISMDQoUORm5uL7t27s47TJI8fP0bv3r3x008/YebMmazjECIVBw8ehLe3N27evInOnTuzjiNTpHJDiZOTE/r06YOffvpJGosjhDRCZWUlvv32W/j4+MhtIQYAs2bNwsGDB1FcXMw6CiFETuzZswf29vZyX4gBgLa2NjZt2gQfHx88fPiQdRxCmuzp06f46quv8MMPP1AhVgupXBkDgOjoaIwfPx65ubm0oQlh4I8//oCPjw9u376Ndu3asY7TaGVlZTA0NMTixYsxf/581nEIITLu8ePH6N69O44ePQp7e3vWcaRCKBRi9OjR0NTUREhICOs4hDTJjBkzcPv2bVy8eJGG3tZCalOt2dvbo3///vj++++ltUhCiJgqKiqwdu1aLFmyRK4LMeD1A1AXLFiA7du3o6qqinUcQoiM2759Oz788EOMHj2adRSpUVFRgZ+fH06ePIkTJ06wjkNIo505cwYhISHw9/enQqwOUp33+rvvvsPu3bvxzz//SHOxhJAG7Nu3Dy9evMC8efNYR5EKLy8v/PvvvwgLC2MdhRAiw0pKSuDn54clS5Yo3IGegYEBvv32W3z22Wc0XJHIpYKCAsyaNQsrV66EkZER6zgyS2rDFEUcHR3RpUsX7N27V5qLJYTU4eXLl+jduzdWrFiBuXPnso4jNYsWLUJiYiKSkpJYRyGEyKgdO3Zg/fr1yMvLQ4sWLVjHkbrKykoMGzYMHTt2xIkTJxSu4CSKzd3dHXfv3kV8fLxC7p/SIvUnwm7ZsgVBQUFITU2V9qIJIbX48ccf0bFjR8yePZt1FKlauHAhUlNTkZyczDoKIUQGVVVVYevWrVi4cKHCHug1a9YMBw4cQFxcHPz8/FjHIURse/bsQVRUFA4cOKCw+6e0SP3KGPD6IOqvv/5CXFwcncUhhEP5+fkwMjLCyZMnMXz4cNZxpG7ChAl49eoVjh07xjoKIUTGHD16FNOnT8fff/+NDh06sI7DqQMHDmDOnDlITU2FsbEx6ziE1Cs7Oxv9+vXD1q1bMWvWLNZxZB4nxdizZ8/Qo0cP7NixAxMmTJD24gkh/2/ixIkoKytDeHg46yicSEtLg6WlJQQCAY03J4S8ZeDAgRg2bJjSPFZnypQpyMjIQHJyMtq0acM6DiG1evnyJWxtbaGvr0/3fYuJk2IMeD2Oe+PGjbhx4wZat27NRROEKLWLFy/C3t4e169fh76+Pus4nHF1dUXz5s0RHBzMOgohREZERERg8uTJuH37NnR0dFjH4UVRUREGDBgACwsLmu6eyCxPT0/ExcUhNTUVmpqarOPIBanfMyby2WefoX379li7di1XTRCitMrKyjBv3jwsXLhQoQsxAFizZg3CwsIgEAhYRyGEyAChUIhvvvkGCxYsUJpCDAA0NDQQHh6OyMhIbNmyhXUcQt6xY8cOhIaGIiwsjAoxCXB2ZQwA4uPjYWdnh5SUFFhYWHDVDCFKZ926ddi7dy8EAoFSDFeZNGkSSktLcfToUdZRCCGMhYWFYdasWcjNzVXKA77Dhw9jypQp+PPPPzFs2DDWcQgBACQmJmL48OHYtWsXPD09WceRK5wWYwAwb948pKSkICUlBWpqalw2RYhSyMrKgrm5OY4fPw57e3vWcXhx8+ZNmJiYIDk5Gf369WMdhxDCSFVVFczMzODm5oZvvvmGdRxmvv76axw4cACJiYkwNDRkHYcouX/++QcDBw7E+PHjsWPHDtZx5A7nxdjz58/Rp08fLFiwAIsXL+ayKUIUnlAoxLBhw6Cnp4c//viDdRxezZgxA0+ePEFkZCTrKIQQRg4dOoQvvvgCubm50NDQYB2HmYqKCtjb2yM/Px+JiYnQ1tZmHYkoqaKiIgwZMgTa2tqIioqiaewbgfNiDABOnDiBiRMnQiAQwMDAgOvmCFFYfn5+WL16NTIzM9GpUyfWcXiVm5sLY2NjxMbGwtramnUcQgjPKioq0KdPH3h6emL58uWs4zAnOgju1KkTTp8+TQfBhHdlZWVwdHTEgwcPkJSUpNQnSJqCl2IMeP28oPv37+P8+fNo1qwZH00SolBu374NCwsL7Ny5E1OmTGEdhwkfHx/Ex8cjKSmJnmFIiJLZvn07tm7diszMTLRq1Yp1HJnwzz//YPDgwRg2bBj2799P/SLhjVAoxLRp03DmzBkaLttEvBVjjx49gpmZGby9vbF69Wo+miREYVRUVMDW1hadO3dW6gcgP3/+HIaGhti0aROmT5/OOg4hhCdPnz5Fjx49sGvXLri7u7OOI1PS0tJgY2MDLy8vbNu2jXUcoiQWL16M3377DbGxsRg0aBDrOHKNs6nta9LR0cHevXuxbt06pKSk8NUsIQph7dq1yM/Px549e1hHYap9+/b4/vvvsWLFChQXF7OOQwjhyerVq2FqakqFWC3Mzc1x7Ngx+Pn5wdfXl3UcogTWrl2L7du34/Dhw1SISQFvV8ZE5s+fj6ioKFy9ehXt2rXjs2lC5FJ8fDyGDx+OqKgojBw5knUc5iorK2FpaQknJyd6jiEhSuDatWuwtLREcnIyzM3NWceRWSdOnHgzy+TKlStZxyEKasuWLVi8eDEOHTpEJ0ekhPdirLS0FAMGDIClpSUCAwP5bJoQuVNYWAgLCwu4uLhg8+bNrOPIjAsXLsDBwQFZWVno3r076ziEEA6NGjUK+vr62L17N+soMi84OBhTp07F5s2bsXDhQtZxiILZtWsX5s2bhz179tCzxKSI92IMADIyMjBw4EDs3LkTn376Kd/NEyIXhEIhXFxckJeXh+TkZLRs2ZJ1JJni4eGB8vJyehA0IQosNDQUs2fPRnZ2Nk3fLqa9e/fCy8sL33//PZYtW8Y6DlEQW7duxaJFi7B9+3Z8/vnnrOMolGbffvvtt3w3+t5770FbWxsLFiyAo6MjunTpwncEQmTehg0bEBQUhOjoaLz33nus48icQYMGwcfHB7169YKxsTHrOIQQKXv27BnGjRuH1atXw87OjnUcuWFhYQF9fX0sXLgQZWVltO1Ik61fvx7Lly/Hb7/9Bm9vb9ZxFA6TK2MiM2fOxLlz53D58mWle2YSIfU5c+YMxo4di5CQELi4uLCOI7O2bduGH3/8EdevX0fHjh1ZxyGESNHs2bNx7do1xMfH0yNxGiE0NBRTp06Ft7c3tmzZQtPek0ZZunQpfv75Z+zbt09pH6vDNabFWElJCWxtbdGpUyecOnWKOltCANy9exeWlpbw8vLChg0bWMeRaZWVlbCxsYGJiQn8/f1ZxyGESMm5c+fg4OCA1NRUmJiYsI4jtyIjI+Hu7g53d3f4+/vTg6GJ2MrLy+Ht7Y39+/cjODgY48ePZx1JYTEtxgAgLy8PlpaWmDVrFn788UeWUQhh7uXLlxg6dCg0NTURFRVFJyjEIBAIYGlpidOnT2P48OGs4xBCmqikpASmpqaYOHEivvvuO9Zx5N65c+fg6uoKc3NzhIWF0SgC0qDnz5/D3d0dycnJCAsLo5mcOca8GAOA6OhojBs3ji6BEqUmFArh6uqKK1euIDU1lW5Wl8CqVasQHByMjIwMqKurs45DCGmC5cuX49ixY0hLS6OJi6QkMzMT48aNg7q6Ok6ePAl9fX3WkYiM+vvvvzF27FgUFhYiMjKSrkzzgLeHPtfH3t4e27dvx8yZMxEbG8s6DiFMrFixArGxsTh58iQVYhLy9fWFmpoali9fzjoKIaQJkpOTsXnzZuzevZsKMSkyNjZGYmIi2rZtC2trayQlJbGORGTQ5cuXYWVlBTU1NSQnJ1MhxhOZKMYAwNvbG1988QVcXFwgEAhYxyGEVzt37sTPP/+M8PBw6vwaoWXLlti7dy927NiB06dPs45DCGmE//77D1OmTIG3tzeGDBnCOo7C6dy5M2JjY2FtbY2PPvoIv/32G+tIRIYEBARgyJAh6N+/P+Li4vD++++zjqQ0ZGKYokhlZSVcXFzw119/ISUlhb4IRCmcOHECLi4u2LlzJ2bPns06jlxbu3Ytdu7ciYyMDLq6SIic8fT0xJUrV3D58mW0atWKdRyFJRQKsWHDBqxevRpTp06Fn58fbW8l9urVK3z++ecIDAzE6tWrsWrVKqiqysy1GqUgU8UY8HoCAzs7O5SXlyM2NhYaGhqsIxHCmZSUFNjZ2WHBggU0c6IUVFZWYsiQIejUqROOHz9OUzkTIidCQkLg6emJS5cu0egAnpw5cwaTJ0+Grq4uQkNDYWBgwDoS4VleXh48PDyQnZ2NoKAgjBkzhnUkpSRzpW/r1q0RERGB58+fY8yYMXj58iXrSIRwIiMjAw4ODnB1dcX333/POo5CaNasGYKCgnDhwgX4+fmxjkMIEcPdu3fh7e2NH374gQoxHo0ePRqpqalo1qwZLCws8Pvvv7OORHh08OBBmJubo7y8HKmpqVSIMSRzV8ZE/vnnH9jY2MDQ0BCRkZF0CZ0olKysLAwdOhRDhgzB4cOHaQp7Kdu/fz/mzp2LK1euoHfv3qzjEELqUFlZiREjRkBdXR2nTp2iq9kMvHr1Cr6+vvj555/h5uYGPz8/mv5egT1//hzz5s3DwYMHsXDhQmzYsIGOsRmT2WIMAHJycjB06FD0798fYWFh9LBCohByc3MxbNgw9O3bF8ePH6fvNUcmTZqE9PR0pKSkoF27dqzjEEJqsXz5cuzduxfp6eno3Lkz6zhKLSYmBp6enlBRUUFgYCBGjBjBOhKRsri4OMyYMQOlpaXYt28f7O3tWUcikMFhitUZGhrizJkzSElJwbRp01BRUcE6EiFN8vfff2P06NEwMDCgEwwc8/PzQ1VVFWbOnAkZPudEiNIKDw/Hpk2bcODAASrEZMCIESOQnp6OgQMHYtSoUZg1axaePXvGOhaRgqKiInh7e+Ojjz6CmZkZMjIyqBCTITJdjAFA3759ERUVhejoaHh4eKCsrIx1JEIaJTc3F0OHDoW2tjaOHz+O1q1bs46k0DQ0NBAeHo7o6Ghs3ryZdRxCSDU3b97EzJkz8d1332HUqFGs45D/p6mpiSNHjuDIkSM4deoUjI2NERoayjoWaYJjx46hT58+CA8PR1BQEI4dO0azDcsYmS/GAKB///6IjY3FxYsX4ezsTJN6ELlz48YNDBkyBN26dcPp06dpllCeGBsbY+/evVi+fDliYmJYxyGEACguLoaLiwtGjBiBpUuXso5DauHi4oIbN25g7NixmDBhAj7++GPk5OSwjkUkkJ+fDzc3N4wfPx4jR45EZmYmJk2axDoWqYVcFGMA0K9fP5w/fx4ZGRlwdHTEf//9xzoSIWK5evUqhg4dir59+yI6OpoKMZ65ubnhyy+/xKRJk/D333+zjkOIUhMKhZg5cyYqKyuxd+9emrBDhnXo0AEBAQGIjY1FTk4O+vTpg+XLl6O4uJh1NFKP4uJi+Pr6onfv3khPT8eZM2ewb98+aGlpsY5G6iDTE3jUJicnByNHjsR7772H06dP04w/RKYlJiZi7NixGDZsGEJCQtCyZUvWkZRSZWUlRo8ejf/++w/nz5+nIaKEMLJhwwZ8//33SElJgbGxMes4REwVFRXYtWsXfH19oa6ujnXr1sHT05MeDixDhEIhgoKCsGTJEpSUlMDX1xfz58+ne9PlgNztRYaGhoiLi8OzZ89gbW2NO3fusI5ESK2OHj2KkSNHwtHREUeOHKFCjKFmzZohODgYT548waRJk1BZWck6EiFKJygoCL6+vti7dy8VYnJGTU0Nn3/+ObKzszF+/Hh89tlnMDMzQ3h4OE2QxJhQKMSJEydgYWGBGTNm4OOPP0Z2djYWLVpEhZickLtiDAB0dXURHx8PDQ0NWFlZ4dKlS6wjEfKWLVu2wM3NDd7e3jhw4ADU1NRYR1J6oolTLly4gAULFrCOQ4hSSUpKwsyZM7F+/Xq4u7uzjkMaqVOnTtixYwcyMjJgbGwMd3d39O/fHydPnmQdTSlFRUVh0KBB+OSTT2BgYID09HTs3LkTnTp1Yh2NSEAuizEA0NHRwf+1d+dRWdb5/8efbFoKMgruqCwqKt6giYh4S4qot3YSFcOdyiU0l1xHZxynUmfKMhIX3EAZ85AoakoKKq5s4jpwC+Mgq0uUgCbrzf77o+J8beo3TgkXy/txzv2fR55yjgde93Xdn+vChQuo1WqGDRvG0aNHlU4SgsrKShYtWsTKlSvZsmULn332mdzGUY+oVCqOHj1KQEAAO3bsUDpHiCYhNTUVDw8PZs+ezerVq5XOES9A7969CQkJ4datW3Tr1o1x48bh7OzM0aNHqaqqUjqvUauqquLEiRMMGTKEsWPH0qFDB27cuMGRI0fo27ev0nniN2jQvyW+/PLLHD58mPnz5/PGG2/g6+urdJJowgoLC5kwYQJBQUF89dVXLFiwQOkk8Qvc3NzYu3cvixcv5sSJE0rnCNGo5eTkMGbMGJydndm6davSOeIFs7e359ixY1y9epXOnTvzxhtvYGtry44dO+Tk6xdMp9Oxe/du+vTpw4QJEzA3Nyc+Pr7mFkXRcDW4Azx+zfbt23nvvfeYNm0aO3fulA/oizqVkpLCxIkTycvL4+uvv2bAgAFKJ4n/4v3332fTpk2cP3+eQYMGKZ0jRKNTXFyMm5sbxcXFREVFyUmyTUBqaiq+vr784x//oEWLFvj4+DBr1iysra2VTmuw7t27x549e9i9ezf5+fl4e3uzbNkybG1tlU4TL0ijGWMAkZGRTJ06FQsLC44cOSL/+UWdOH78ON7e3tjZ2XH48GE6d+6sdJJ4DtXV1cycOZOIiAguXLiASqVSOkmIRqOsrIxx48aRlJREXFwcFhYWSieJOpSbm8uOHTvYs2cPDx8+xM3Njblz5+Lh4SGHWT2H8vJyjh8/TmBgIGfOnKFDhw7MmTOHBQsW0K5dO6XzxAvWoG9T/Dl3d3du3LiBoaEhjo6OnDp1Sukk0YhVVlayZs0aJkyYwIwZM7h48aIMsQZET0+PoKAg1Go17u7upKSkKJ0kRKNQWVnJlClTuHnzJpGRkTLEmiBzc3PWrl1LRkYGYWFhtGzZkhkzZtClSxeWLFlCTEyMnML4M9XV1cTHx7N06VIsLCyYMmUKRkZGHDt2jHv37vHhhx/KEGukGtWVsZ/odDoWLlzIvn37WLt2LWvXrsXAwEDpLNGIfPfdd8ycOZPo6Gh27tyJt7e30kniNyorK+P1118nOTmZqKgoLC0tlU4SosGqqqrizTff5Ouvv+bSpUvY29srnSTqiezsbPbv38+XX35JQkICXbp0wcvLCy8vL5ycnJTOU8z169cJCQkhNDSUzMxMVCoVU6ZM4a233qJTp05K54k60CjH2E8CAgJYtGgRAwYM4MCBA/JLlnghTp06xdtvv42JiQmhoaH069dP6STxOxUXF6PRaMjOzubChQvyTr4Qv0F1dTXz588nODiYs2fPymcxxa/697//zaFDhwgJCSEpKQkLCws0Gg0ajQZ3d/dG/fnCp0+fEhkZSUREBBERETx48IDevXvXDFN5Bl/T06jHGEBSUhLTpk0jMzMTf39/pk+frnSSaKB0Oh0rVqzA398fb29vtmzZQqtWrZTOEi/I06dPGTVqFIWFhVy4cEFuBxHif7RixQp27NjByZMnGTZsmNI5ooFITk7m5MmTREREEB0dTVVVFS4uLgwbNgy1Wo2zszMmJiZKZ/5mhYWFXLlyhdjYWM6dO0dsbCz6+vqo1Wo0Gg1jx47Fzs5O6UyhoEY/xgBKS0tZvXo1fn5+TJ06FX9//0b9rot48RITE5k2bRoPHz5k165deHl5KZ0kakFeXh5ubm6UlZURGRkpnwEU4jlUV1ezePFidu/ezVdffcWYMWOUThINVGFhIefOnePMmTNcvnyZpKQk9PX1UalUDB06FEdHR1QqFX369KmXB4GUlZWRnJyMVqvl2rVrxMbGkpCQQGVlJb169eLVV19Fo9EwYsQIjI2Nlc4V9USTGGM/OXPmDG+99RZGRkb4+/vz2muvKZ0k6rmysjI2btzI3/72N5ydndm/fz9du3ZVOkvUory8PEaNGsWTJ084d+4cVlZWSicJUW9VVlYyZ84cDh06RGhoqAwx8UI9fvyYuLg4YmJiiI6O5saNGxQXF2NoaEjPnj1RqVTY2dlhaWmJlZUVVlZWdOrUCT09vVprqq6uJjs7m4yMDDIzM8nIyCApKQmtVktKSgrl5eW0aNGC/v37o1arcXFxQa1W06ZNm1prEg1bkxpj8MNxq++99x7BwcFMmTIFPz8/uR1J/KIrV64wd+5c0tPTWbduHUuXLkVfv1EdQCp+xdOnT3nttdfIysri7Nmz9OrVS+kkIeqdsrIyvL29OXXqFGFhYbz66qtKJ4lGrqqqivT0dBISEtBqtWi1WpKTk8nMzESn0wHQvHlzunXrRtu2bTEzM6t5tWvXruauqFatWmFgYIChoSEmJiYUFBRQUVFBZWUl+fn5wA8/B3JycsjLy6t5PXr0iKysLEpLS5/5WnZ2dqhUKlQqFfb29tjY2MjBceK5Nbkx9pPw8HDmz59PQUEBvr6+eHt71+o7KaLhKCgoYM2aNWzfvp0RI0awa9cuuTrSBBUVFeHh4YFWq+XMmTM4ODgonSREvaHT6Zg0aRJxcXGEh4c36dPwhPJ+frUqMzOTR48ePTOkcnJyePr0KfDD0KqqqvqPv0dPT48//OEPwA+Dzdzc/JlRZ25ujqWlJdbW1lhZWdGxY0f53VH8bk12jMEP9yavWbOGbdu24ebmhp+fn5xi08QdO3aMJUuWUFRUVDPSRdOl0+nw8vIiOjqakydPMnjwYKWThFBcfn4+EyZMICkpidOnT8sbFaLBKi8vp7CwkJYtW9KsWTOlc0QT1aTvuTI2NsbPz4+YmBjy8vJwcHBgwYIFPH78WOk0Ucdu3brF8OHD8fT0xNXVleTkZBligpdeeonQ0FBGjx6Nm5sboaGhSicJoaj79++jVqtJTU3l0qVLMsREg2ZkZETr1q1liAlFNekx9hNnZ2euX7/Orl27OHbsGLa2tvj7+1NRUaF0mqhlubm5+Pj44OjoiE6nIzY2li+++EI+RyhqNGvWjODgYBYtWoSXlxeffvqp0klCKOLWrVs4OztjZGREXFwctra2SicJIUSDJ2PsR/r6+syaNYt//etfvPnmmyxduhQHBwdOnDhBE76Ts9EqKipi48aN9OjRg7CwML744gtiY2NxdnZWOk3UQ3p6enzyySf4+/vzpz/9ifnz51NZWal0lhB15tSpU7i6utK/f38uXbpEp06dlE4SQohGQcbYz5iamrJp0yaSkpLo3bs348ePZ9CgQYSHhyudJl6AkpISNm/ejI2NDRs2bGDhwoWkpKQwbdo0+RCu+K/mzZtHWFgYBw4c4PXXX6ewsFDpJCFq3Y4dOxg3bhze3t4cP35cno8khBAvkIyxX9G9e3dCQ0O5ceMG7du3Z+zYsajVas6dO6d0mvgNysrK2L59Oz169GDNmjXMnDmTjIwM1q9fL79YiP/JmDFjiIqKIiEhAbVaTVpamtJJQtSK8vJyFi1axMKFC9m4cSPbt2+X47qFEOIFkzH2X/Tv35+wsDDi4+Np2bIl7u7uuLq6cuLEiV88FlXULwUFBWzevJnu3buzYsUKJk2aRFpaGp9++inm5uZK54kGql+/fsTHx9OsWTMcHR05efKk0klCvFDffPMNw4cPZ//+/Rw5coTly5crnSSEEI2SjLHn5OTkxOnTp4mKiqJVq1aMHz+ePn36sHv37poHDYr645tvvmH16tV07dqVv/71r3h6enL37l02b95Mhw4dlM4TjYCFhQVRUVFMmjSJcePG8cEHH8gbNKJRiIqKYsCAATx+/Jj4+HjGjx+vdJIQQjRaTfo5Y79HcnIyvr6+HDhwAFNTUxYsWMC8efPkFD6FJSQk8Pnnn/Pll19ibm7O4sWL8fHxqXmIoxC1ITAwkIULF+Lm5saBAwdo3bq10klC/CZ+fn6sXLkSDw8P9u3bJ7dxCyFELZMx9jt9++23bN26lV27dpGfn4+Hhwdz5sxh5MiR6OvLhce6UFhYSHBwMIGBgVy9ehU7OztWrlzJ1KlT5dkhos5cv34dT09PDA0NOXjwIAMHDlQ6SYjnlp+fj4+PD6GhoXz00UcsX75cDjUSQog6IGPsBSktLSU0NJTAwEAuXrxI165dmT17NrNmzaJz585K5zVKV65cITAwkIMHD1JZWcnkyZOZPXs2arVa6TTRROXm5jJ9+nQuXLjAunXr+OMf/yhvyoh6LyYmhhkzZqDT6QgODmb48OFKJwkhRJMhY6wWpKamEhAQQFBQELm5ubi6ujJ58mQmTpxI27Ztlc5r0JKSkggJCSEkJISUlBReeeUVZs+ezfTp0zE1NVU6Twiqq6v5/PPP+fOf/4yzszP79++na9euSmcJ8R8qKipYv349f//73xk7diwBAQHyM0oIIeqYjLFaVF5ezunTpzl06BDHjx+nqKgINzc3Jk+ezIQJE2jTpo3SiQ1CSkpKzQBLSkrCysqKyZMn4+XlRf/+/ZXOE+IXJSYmMnXqVLKzs9m5cydeXl5KJwlRIz09nRkzZpCQkMCmTZuYN2+e3JYohBAKkDFWR3Q6HeHh4Rw+fJiwsDB0Oh0uLi5oNBo0Gg39+vWTH4Q/0ul0XL58mYiICMLDw7lz5w5dbx8dMwAACeNJREFUunTBy8sLLy8vnJyclE4U4rmUlJSwcuVK/P39mTlzJn5+fnKYjFBUdXU1+/btY+nSpVhbWxMcHEzv3r2VzhJCiCZLxpgCSkpKOHv2LOHh4URERJCZmUmHDh3QaDSMHDkStVrdpG5rqqys5Pbt21y6dInTp09z8eJFSktLcXJyYsyYMWg0GhwdHWWsigbr1KlTzJ49G4Bt27bh6empcJFoitLT0/Hx8eH8+fMsX76c9evX07x5c6WzhBCiSZMxVg/cuXOnZphFR0dTXFxM586dcXV1ZfDgwajVauzt7TEwMFA69YUoKiriypUrxMTEEBMTQ1xcHAUFBTWD9KdRKrdxisbkyZMnrFixgn379uHh4cG2bdvkcB9RJyoqKti8eTPvv/8+NjY27Nmzh0GDBimdJYQQAhlj9U55eTk3b94kJiaG6Oho4uLi+Pbbb2nRogV2dnY4ODjQt29fVCoVDg4OmJmZKZ38q6qrq8nIyECr1aLVaklMTESr1XL37l2qqqro1asXgwcPrhmdPXv2VDpZiFp3/vx5fHx8yMnJ4eOPP8bHx0eu+opac+vWLebMmUNycjJr1qxh1apVGBkZKZ0lhBDiRzLGGoCUlBTi4+NJTEysGTTZ2dkAtG/fnu7du2NlZYWVlRWWlpZYWlpiZWVFx44deemll2q1raCggHv37pGRkUFmZiaZmZmkp6eTmZlJamoqBQUFGBgYYGNjg729Pfb29jg4OODi4oK5uXmttglRX5WUlPDBBx/g6+vL4MGD8fPzk8NoxAv1/fffs379erZs2cLgwYPZs2cPtra2SmcJIYT4GRljDVRubi6JiYncvn2btLS0Z8ZQQUFBzZ9r2bIlZmZmmJmZ0a5dO8zMzDA2NsbU1BR9fX2MjIwwNjYGwMTEhPLycnQ6HfDDbVXwwzPUiouLyc3NJS8v75lXWVlZzddq3759zRi0tramR48eqFQq7OzsePnll+vwuyNEw3Dr1i3effddrl69yqxZs/joo4/kTQrxu1RVVREUFMSqVasA2LBhA++8845cfRVCiHpKxlgjlJOTQ2ZmJtnZ2TWjKTc3t2ZMFRYW/sfQAsjPz8fIyKhmOP18sP006n7+6tq1K1ZWVrRo0UKxf7MQDVV1dTUHDx5kxYoVFBcX85e//IVFixbRrFkzpdNEA3Px4kWWLVuGVqvl3Xff5cMPP5TTO4UQop6TMSaEEPVAYWEhH3/8Mb6+vnTu3JlPPvmECRMmKJ0lGoCsrCyWL1/OkSNH0Gg0fPbZZ/Tp00fpLCGEEM9BX+kAIYQQYGxszIYNG7hz5w4DBw7E09MTtVrN+fPnlU4T9dTDhw9ZsGABPXv2JDExkfDwcMLDw2WICSFEAyJjTAgh6pGuXbsSHBzMlStXaNGiBSNGjMDNzY3o6Gil00Q98d1337FkyRJ69OhBWFgYW7duJSkpCY1Go3SaEEKI/5GMMSGEqIecnJw4c+YMUVFRVFVVMXToUDQaDdeuXVM6TSgkNzeXVatWYWNjw+HDh9m4cSOpqam88847cly9EEI0UDLGhBCiHlOr1Vy8eJHIyEgKCgpwcnJCo9EQGRmpdJqoI1lZWSxduhRra2uCgoJYt24dqampctCLEEI0AjLGhBCiARgxYgQxMTFERERQWVnJyJEj6d+/PwcOHKC8vFzpPFELbty4wdSpU+nevTtHjhzh/fffJy0tjWXLlsnjQoQQopGQMSaEEA3I6NGjOXv2LLdu3aJv377MmjULGxsbNm3aRH5+vtJ54neqrq7m5MmTuLm54ejoyJ07d9i3bx9paWksX7685rmQQgghGgc52l4IIRqw+/fvs2XLFnbv3k1VVRXTpk1jzpw5DBw4UOk08T949OgRQUFB7N27l5SUFEaNGsWKFStwd3dXOk0IIUQtkjEmhBCNQH5+Pvv37ycgIICEhATs7e2ZO3cuM2bMkAf/1lNVVVWcOXOGwMBAjh8/jomJCTNnzmTu3LnY2dkpnSeEEKIOyBgTQohG5tq1awQEBBAcHExlZSWTJk3i7bffxtXVFQMDA6Xzmry0tDSCg4MJCAjg/v37DBs2jDlz5uDp6Unz5s2VzhNCCFGHZIwJIUQjVVhYyMGDB9m7dy9Xrlyhffv2TJo0CS8vL4YMGYK+vnxsuK5kZWVx+PBhQkJCuH79Op06daq5CmZjY6N0nhBCCIXIGBNCiCYgMzOTQ4cOERISws2bN+ncuTOTJk1i8uTJODs7o6enp3Rio/PgwQMOHz7MoUOHiI+Pp127dnh6euLl5cXQoUNlDAshhJAxJoQQTc3du3drRkJCQgIdOnRAo9Gg0WgYOXIkbdq0UTqxQaqoqCA2NpaIiAgiIiL45z//SZs2bZg4cSKTJ09m2LBhcpuoEEKIZ8gYE0KIJiw1NZWIiAjCwsK4fPky5eXlODk5MWbMGEaPHs0rr7yCoaGh0pn1VlZWFmfPniUiIoLIyEiePn2KSqWqGbeurq7y/RNCCPGrZIwJIYQAoLi4mIsXLxIeHk5ERASpqamYmJgwaNAgXFxcGDp0KIMGDcLExETpVEVUVlZy+/ZtoqOjiYmJISYmhnv37mFqaoq7u3vNALOwsFA6VQghRAMhY0wIIcQvSk9PJyoqitjYWGJiYkhOTkZfXx+VSoVaraZfv37Y29tjZ2dHixYtlM59oaqqqkhPTychIQGtVkt8fDwxMTEUFBTQtm1b1Go1Q4YMwcXFhYEDB8rVLyGEEL+JjDEhhBDP5fHjx8TFxdVcGUpISCA/Px99fX1sbGxwcHCgb9++qFQqbG1tsbS0pGXLlkpn/39VVFTw4MED0tPTuX37NlqtloSEBJKTkykqKsLQ0BBbW1sGDRpUM8B69uypdLYQQohGQsaYEEKI3ywjIwOtVotWqyUxMRGtVsvdu3epqKgAoG3btlhbW2NpaVnz6tKlC2ZmZpiZmWFubk7r1q1rpa2kpIS8vDzy8vLIyckhOzubzMzMZ1737t2rae3YsSN9+/bFwcEBlUpF3759sbOzk2d/CSGEqDUyxoQQQrxQpaWlpKWlkZGRQUZGxjPjJz09nSdPnjzz5w0MDDA3N68ZaM2bN6d58+Y1tz62atUKAwMDjIyMaNasGUVFRQAUFBRQUVFBRUUFBQUFVFdX14yvvLw8iouLn/k6zZs3p1u3bv8xDq2srLCxscHMzKxuvkFCCCHEj2SMCSGEqFNFRUXPXLH6vwMqLy+P0tJSSkpK0Ol0AHz//fdUV1dTVlZGaWlpzQEixsbGGBkZoa+vj6mpKXp6ejWD7tdeQgghRH0iY0wIIYQQQgghFKCvdIAQQgghhBBCNEUyxoQQQgghhBBCATLGhBBCCCGEEEIBhsAypSOEEEIIIYQQoqn5f2Ay4qRegXuaAAAAAElFTkSuQmCC",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "business_transform().data.visualize()"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "737ab3fbff475e9226da68056edb7a8c554373c4c8c7df04cf364bff44736a46"
  },
  "kernelspec": {
   "display_name": "Python 3.9.10 ('.venv': poetry)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}