gw loader

README.md

To get these scripts up and running, you will need to install Docker on your computer or be able to run Docker containers on a third party cloud server.

Note - there seemed to be a problem running newly downloaded versions of docker on Macs:-(

Download and install Kitematic. From the bottom right hand corner of Kitematic you can open a Docker command line.

Download the contents of this repository and ensure they're in a directory you can find.

Change directory to the directory containing the docker-compose.yml file and run the command:

docker-compose up -d

This will launch a database container linked to a Jupyter notebook server.

To stop the containers: docker-compose stop To start the containers back up again: docker-compose start

To destroy the containers and their contents: docker-compose down

Dockerfile

postgresdatadd:
    image: busybox
    volumes: 
        - /var/lib/postgresql/data

postgresdd:
    image: postgres #mdillon/postgis 
    environment:
        - POSTGRES_PASSWORD=PGPass
    ports:
        - "5432:5432"
    volumes_from:
        - postgresdatadd

datadive:
    image: jupyter/scipy-notebook
    user: root
    environment:
        - GRANT_SUDO=yes
    ports:
        - "9988:8888"
    links:
        #- mongodb:mongodb
        - postgresdd:postgres
        #- neo4j:neo4j
    volumes:
        - .:/home/jovyan/work
    
#mongodata:
#    image: busybox
#    volumes: 
#        - /data/db
#

#mongodb:
#    image: mongo
#    ports:
#        - "27107:27107"
#    volumes_from:
#        - mongodata
#    command: --smallfiles
#  

#neo4j:
#  image: ryguyrg/neo4j-panama-papers
#  ports:
#    - "7474:7474"
#    - "1337:1337"
#  volumes:
#    - /opt/data

loader.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Getting Started\n",
    "\n",
    "The base containers include:\n",
    "\n",
    "- a PostgreSQL database\n",
    "- a Jupyter notebook server containing a range of scientific python packages;\n",
    "\n",
    "The notebook container is lacking some libraries and packages we need to make life easier... The `-qq` and `--quiet` flags make the install a quiet one..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "!sudo apt-get update -qq  && sudo apt-get install -qq -y libpq-dev python-dev\n",
    "!pip install --quiet ipython-sql psycopg2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Jupyter notebooks support SQLMagic. This lets us run SQL commands in a code cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Connected: postgres@postgres'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%load_ext sql\n",
    "#This is how we connect to a sql database\n",
    "#Monolithic VM addressing style\n",
    "%sql postgresql://postgres:PGPass@postgres:5432/postgres"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also run SQL commands on the database using the `pandas` python package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sqlalchemy import create_engine\n",
    "engine = create_engine(\"postgresql://postgres:PGPass@postgres:5432/postgres\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing the base orientation data\n",
    "\n",
    "Loading CSV data directly into a PostgreSQL database often required the CSV to be well behaved; *pandas* is a bit more forgiving on the import and can be used to load the data from the original CSV file and then insert it into the PostgreSQL database. As *pandas* dataframes are stored in memory we need to load the data in from the source file in chunks of several thouasnds of lines at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "fn=\"companies-with-controlling-entities v6.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "!head \"$fn\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The PostgreSQL database table will be defined based on the dataframe column names properties - we may need to force column datatypes when we read in the datafile."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Import the data from the CSV file\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#We'll import the base data into a table called: sigcontrol\n",
    "#Drop the table if it already exists so we start from a blank state\n",
    "%sql DROP TABLE IF EXISTS sigcontrolchunks=pd.read_csv(fn,chunksize=10000,dtype=str)\n",
    "\n",
    "#Note that we can also read in from a zip file - as long as it isn't password protected:\n",
    "#pd.read_csv(fn,chunksize=10000,dtype=str, compression='gzip')\n",
    "for chunk in chunks:\n",
    "    #Pop the data into the \n",
    "    chunk.to_sql('sigcontrol',engine,index=False, if_exists='append')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%sql SELECT * FROM sigcontrol LIMIT 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Orientation Data Exercises\n",
    "\n",
    "To get you started with the data, here are some opening questions, with queries to solve them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>company_number</th>\n",
       "        <th>company_name</th>\n",
       "        <th>jurisdiction_code</th>\n",
       "        <th>Controlling Entity SKey</th>\n",
       "        <th>Controlling Entity Name</th>\n",
       "        <th>opencorporates_url</th>\n",
       "        <th>address_care_of</th>\n",
       "        <th>address_country</th>\n",
       "        <th>address_locality</th>\n",
       "        <th>address_postal_code</th>\n",
       "        <th>address_region</th>\n",
       "        <th>address_street</th>\n",
       "        <th>controlling_company_type</th>\n",
       "        <th>country_of_residence</th>\n",
       "        <th>dob_month</th>\n",
       "        <th>dob_year</th>\n",
       "        <th>family_name</th>\n",
       "        <th>given_name</th>\n",
       "        <th>middle_name</th>\n",
       "        <th>nationality</th>\n",
       "        <th>po_box</th>\n",
       "        <th>title</th>\n",
       "        <th>uid</th>\n",
       "        <th>ultimate_entity_company_number</th>\n",
       "        <th>controlling_entity_company_number</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>00928471</td>\n",
       "        <td>G4S 084 (UK) LIMITED</td>\n",
       "        <td>gb</td>\n",
       "        <td>0</td>\n",
       "        <td>G4S PLC</td>\n",
       "        <td>https://opencorporates.com/companies/gb/00928471</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>04992207</td>\n",
       "        <td>04992207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>01956974</td>\n",
       "        <td>G4S HOLDINGS 38 (UK) LIMITED</td>\n",
       "        <td>gb</td>\n",
       "        <td>0</td>\n",
       "        <td>G4S HOLDINGS 3 (UK) LIMITED</td>\n",
       "        <td>https://opencorporates.com/companies/gb/01956974</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>02380914</td>\n",
       "        <td>02380914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>02626613</td>\n",
       "        <td>G4S MONITORING TECHNOLOGIES LIMITED</td>\n",
       "        <td>gb</td>\n",
       "        <td>0</td>\n",
       "        <td>G4S CARE AND JUSTICE SERVICES (UK) LIMITED</td>\n",
       "        <td>https://opencorporates.com/companies/gb/02626613</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>None</td>\n",
       "        <td>00390328</td>\n",
       "        <td>00390328</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('00928471', 'G4S 084 (UK) LIMITED', 'gb', '0', 'G4S PLC', 'https://opencorporates.com/companies/gb/00928471', None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, '04992207', '04992207'),\n",
       " ('01956974', 'G4S HOLDINGS 38 (UK) LIMITED', 'gb', '0', 'G4S HOLDINGS 3 (UK) LIMITED', 'https://opencorporates.com/companies/gb/01956974', None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, '02380914', '02380914'),\n",
       " ('02626613', 'G4S MONITORING TECHNOLOGIES LIMITED', 'gb', '0', 'G4S CARE AND JUSTICE SERVICES (UK) LIMITED', 'https://opencorporates.com/companies/gb/02626613', None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, '00390328', '00390328')]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Who controls G4S?\n",
    "%sql SELECT * FROM sigcontrol WHERE company_name LIKE '%G4S%' LIMIT 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "38 rows affected.\n"
     ]
    }
   ],
   "source": [
    "# Who controls Whitbread?\n",
    "df=%sql SELECT * FROM sigcontrol WHERE company_name LIKE '%WHITBREAD%'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can create a graph that allows us to see how these companies are related to each other. The `networkx` library is a handy tool for this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "\n",
    "def companyInterestsGrapher(row,DG):\n",
    "    DG.add_node(row['company_number'], Label=row['company_name'])\n",
    "    DG.add_node(row['controlling_entity_company_number'], Label=row['Controlling Entity Name'])\n",
    "    DG.add_edge(row['company_number'],row['controlling_entity_company_number'])\n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "DG=nx.DiGraph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tmp=df.DataFrame().apply(lambda x: companyInterestsGrapher(x,DG), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DG.number_of_nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AqYCXxtBaWloWK+BL4u7du0hPT5dnX5YGY5H9448/YvXq1Xj//fdRv359XL58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UJlu6qsCTNmzCCGYWjYsGGC+fL38LffflPKDwwMJIZhBMe2c+fO0cCBA6lu3bpUrVo1Mjc3p759\n+yq0o+k3snjxYuEOe4eQNdHOzo70RCLylXv/B74bIzJVjA+OAHnI/Z36rjyDfzcg1ahRg5ydnenn\nn39Wski4u7srvWMquq9UIfSbKImfnx/VqFFDSWaGYahp06aCdU6dOsX3a2U+45qew4rgo9J45uXl\nYf/+/QgMDMTgwYMxZcoUHDx4EMOGDdO6DS8vL1y4cAEbN27EmTNn0LVrV5VlU1JS4OjoKOhfsCL8\n/4lEIgQEBGDEiBE4cOAABgwYUKZ2GjZsiK1bt0IikWDJkiVKmjtN3Lx5E2/y8tAasi9PDlMA9gAS\nyiCTMYCfCgvhc+oUWJbFnj170LBhQ6xYsQKXLl2Cq6urUp2q6o+DBw/is88+Q/Xq1RXStfWVGBMT\nA4ZhlLSrw4YNw759+3Dw4EH+6z0mJgY9e/ZUaLtu3bpwd3fHkSNHkJubqyRHcXExXr9+rdbPpVgs\nRufOnXHw4EEEBQUp5detWxfTp0/HtGnTEBgYiIULF2L37t3YvHkzOnXqhFGjRsHT01OjH0OGYdC/\nf39ERUVhz549GDt2LJ8XHh6OIUOG4K+//lLbhrawLIuAgADs3bsXN27cQOvWrbFnzx589tlnpW6r\nc+fO+OGHHzBnzhzs3LlTQZuyaNEiODg4YNWqVfj+++/LJKubmxsAICsrS0HjmZ2djcTEROjp6UEq\nlcLd3Z3PS09PR3p6Onx8fPg0TjO8c+dOxMbG4uzZs9DT01PKl4dLMzMzw86dOxXyli1bhoyMDKxa\ntUpBW2xmZoa7d+8CULSIZGZmIiIiAsOHD0dWVhbGjx+vcB4XFxdMnz4dRISHDx9i06ZN8PPzQ35+\nvqCGShtrC0dJa1bLli0RFhaGbdu24caNG7CwsICzszMuXbpUbmsWdz2cdlweeef8qiwDDMNg6dKl\nGD9+vFIELHXWhN27d8Pa2hqHDx/G69evVT5vDMNg/vz5SpYfhmEE2w8MDMSCBQvQtGlTjBs3DlZW\nVsjMzMSxY8fg6emJsLAwhXGSsxSVxMXFRaXs8jJw/Z+Tk4O5P/yAgqIi/C1fBuqtYqryvAF4APiO\nZWFhaQlLS0tMnDgR9+7dw+LFixVk0EbOiugroXbLcm6GYWBoaIikpCRcuXJF6bkICwuDoaEh8vLy\nVJ6zIp5xeYSewwqhUqazVcTu3btJJBJRRkYGERF17dqV+vTpo1ROncaTiCgmJoYYhqGZM2eqPd/n\nn39OtWrVohs3bmiUrSwaz5o1a1JxcTE1bdqUXFxc1LanTsPHYWtrSxYWFvzf3NfO1q1b6dmzZ0oH\nx8SJE4kFqHeJr9JCgOq9O0qr8SSA8gAyYlmqVq0ar2WytbWlb775Rkn299EfQhQUFFD16tVp+vTp\nasup03iOHTuW9PT0lL7Kjx07RgzD0Pjx4/k0fX19GjlypFIbQ4YMIZZlKS4ujk8bOXIkiUQiMjIy\n4rVREyZM4LWwJQkODiaxWKy0lrEknGYwJiaGdu7cSV27duU1DKNGjaLo6Gi6e/euoMaTZVnat28f\n+fj4kLu7O58XHx/Py9+5c+cK0XhydO7cmezs7KhNmzYkFotp0aJF9PTpU3r27JmCllqdxpOIKD09\nnRiGEdz8M3nyZKpZs2a51lLa2NiQkZERffXVV3xaVFQUsSxLPj4+1LNnT4Xyu3btIpZl6fDhw3xa\n48aNqWfPnlS3bl0aPHiwQnlVGk9119ynTx+ytrYWzFNlEcnPzydLS0tyc3NTSBe6h0+fPqWaNWuS\no6OjVm2rw8/Pj1q3bk3+/v4kFouJYRjS19enIUOG0NGjR6mgoKDCrFma+o1D6JoZhqHWrVsTy7K0\ncuVKrds9e/YssSxL58+fp2rVqglqirn3Gtf+/v37FfKFrn/Pnj3EMAwNHTqUCgsLldo8efIkHT16\nVKF9de9NdZQ8f2JiIgGgtgCxkO1YJ4CC3v2tSuPppELjufzd32HvtJ43b96kdu3akaWlpYIcQu8Y\nTbKWtq9Uoe5dxiFkreJkbt68OX377bcKeXl5eVSrVi0aPHgw/47lqIxnvLL5qEJmhoWFQSKRoH79\n+gBkGqWTJ08iMzOzVO1wX7TJyclqy02fPh25ublwdnZGhw4dMGvWLJw6dQqFhYVluwABGIZBQEAA\n/vrrLxw8eLBcbTk5OeHp06fIyclRSB81ahTMzMwUDnNzczx58gQAcOrYMRgBKAKQ+e5IBOAP4DGA\nwWWURx+AQXExDPX1oa+vDwAYOnQoIiMjUVxcLFjnffSHPPfu3cObN29gbW1d5vM0a9YMRUVFuHTp\nkkL677//DgDIyMhQKHvp0iWFL9OCggLExcUpla1fvz5mzpyJrVu3Yvfu3ejfvz/Wr1+Pnj17Cvaf\njY0NiouLcfv2ba3kNjQ0hI+PD06fPo3U1FTMmDEDZ8+eRceOHeHh4QFApsGTh5Pb29sb0dHRvLxh\nYWGwsbFBu3bttDp3aUlKSsKff/6JwsJCzJo1i/8NT58+Xes2GjRogFq1agk+93PnzoVIJEJgYGCZ\nZXRzc0Nubq5CmlQqhZOTE3r27Kn0++A05R06dFBI//vvv5GVlYVly5aVWZbyoKenh9q1a0Ms1mww\nMzU1hb29vcZ3qTqICBcuXMCuXbtw8+ZNhIaGorCwEP7+/nj48CEiIiLQq1cvjfJ4eXlh9OjRiIuL\nw5kzZ8osjzZ06NABXbp0wZIlS/D27Vut6oSFhcHBwQHu7u743//+h7CwMJVlhw0bBjs7O8H18CX5\n4YcfUKdOHWzevFlwfXG3bt0EtZsVQUhICMzFYnCro+9WULuDAJiLxdiwYQMsLCy0+i1qQ1X2FYeX\nlxciIiIU0g4dOoQ3b95gyJAh7zWEcGXx0Uw8nz9/jqioKIUNDYMGDQIAREZGlqotLmJCdna22nL/\n+9//cPHiRfTv3x/Xr1/H0qVL8fnnn6NBgwYVGpnEx8cHtra2Wr1k1KHqugIDA3H69GmF49SpUzAx\nMUF2djbupKRAH0AUALN3RwsAOyGbfC4pozzXATwHkJWdzU/+vLy88OzZM0RFRamsV9n9IQ/30VK7\ndu0yn8fb2xvGxsbw9/fH6dOnkZaWhl9//RUbNmwAwzB48+YNX/brr7/G33//jVGjRuHWrVu4ceMG\nRowYgUePHgGAQtng4GD8+OOP8PT0xJAhQ7BlyxYEBwdDKpVi7969SnJw1/Ds2bNSX4OVlRXmzp2L\n5ORknD17Fi4uLiAiLFiwAD179kRkZCTy8/P58t27d4eJiQl2794NAIiIiFDabFSRWFtb48yZMzhz\n5gwCAgJgYGAAS0tL9O3bt1Tt1KhRQ/D3YGJigh9++AG//vorbt68CQB4+fJlqdp2c3MDESn0v1Qq\nhUQiQfv27fHy5UvcuHGDz4uNjYW9vT1q166N169fA5B9hKSkpGDKlCkwMjJCZmYmf5RWHm3Jzs7m\nz/HPP/8gKCgIiYmJGDlypMa6RUVFSE9PV/n8yLctfwDA/fv38eOPP8Le3h6dO3dGfn4+vvrqK9y+\nfRtdu3bFkydPSv1cjhgxAkSEkydPalU+KytLUDZtCAoKwqNHj7BhwwaNZfPz8/Hbb7/xz4iXlxfO\nnj3Lf/yXhFt2FB8fjwMHDqhsNykpCXfu3Cl1uM/c3FzB+1JUVKR1G4BMaTGosBCp7/6uU6raAnJB\npvjIAdCtsBCRu3YhKipKq9+iJsraVxWNt7c3Hjx4gPPnz/Npu3btQteuXWFmZlYp51T3HFYGH83E\nc/fu3SgsLISzszOSk5ORnJyMzMxMfPbZZ2q/HIXgJkHaxIZu06YN9u7dixcvXuDy5cuYPXs2cnJy\nMHjwYK01Sxyq1oZwa9muXbtWLi2fqutycnJCly5dlA6xWIzk5GQQEfQAuAI4A9kEdDmA2gBeACjr\nPtGdALj9zefOnUNycjL09fVhZWWl9p5Vdn8IUZ6vTAsLCxw+fBj5+fn4/PPPYW1tje+++w4///wz\niEghNNzYsWMxe/Zs7Nq1C46OjmjVqhXu3r2LmTNnAoDGMHJTp04FwzA4ffq0ymvQZg2SKliWhYeH\nB1auXAmGYeDp6YmsrCwMHToUgwYNAhEhJSUFIpEIgwcPRnh4OH7//Xfcv3+/UieeRkZG8PDwQJcu\nXbBgwQL8+eefMDIywuDBg5W0B+rIyclR+XuYMGECGjdujMmTJ+Obb75Bw4YNkZaWpnXb3DpP7iOi\nqKgIcXFxcHNzg42NDSwsLBATE8PLkZCQADc3N9y6dQuWlpb46aefkJmZCSLCokWLlKwUAwcOrJTQ\nqPIWkWbNmiE4OBjBwcHw8/NTKltQUMAPWomJifD398fjx48xeLCwXUTI2mJmZgZ3d3dYWVlh4cKF\naNeuHVxdXeHm5oY1a9agWbNmlW7NAmTPCzfYy1uCtKVDhw7w8PDA0qVLNWo9Dx8+zD9HADBgwACI\nxWL+w00Ib29vjVrPW7duAVBcl6oNgYGBglawq1evalU/MzMTqampuJ2cjNcANgCoC6BjqaQQkAv/\nKj/CATx+9gwjR44slyWCo6x9VdE0adIEn376KcLDwwHIPn6OHTumsNa7otFk9axoPpqJJ3eTJBIJ\n7OzsYGdnh6ZNm0IqleLixYtITU3Vui1O62Bra6t1HbFYjDZt2mDhwoVYv3498vPzsWfPHj5fX19f\nQVslD2d+K7kIXZ6K0PLduHED5ubmpYqBy70wGcg2E3kA6AZgKoAdAPYDWF1GeXYD4JZJ9+/fn79n\naWlpOHjwoJJZUp731R916si+0V+8eFHm8wCySUdKSgquXbsGqVSKjIwMfhNM06ZNFcouWLAAjx8/\nRkxMDK5fv464uDhe01CybEkMDAxQp04dPH/+XCmPu4aK2PjG4erqitjYWNy6dQu9e/cGAMyYMQPO\nzs7Q09PDtWvXEBQUBGdnZzRr1qzCzquJ5s2b4/Lly+jXrx+GDRuGyZMna1wCk5GRgaysLJXPPRHB\n1dUVp0+fxrp165CTk4PZs2eXSiaRSISHDx8CAOLj45GbmwuJRAJA9u6SSqUAZNrOoqIidOjQAZMm\nTcLLly8xe/Zs5OXlwdLSEmfOnFGyUlSW6V3eIhIZGQkvLy/Mnj0ba9euVSobFRXFD1wtWrTAzp07\n4e/vjyVLhO0igYGBOHnyJFasWIHu3btDX18fJPMvjU2bNuHRo0dYvXo1/vzzT4WBt7KtWYDsA23D\nhg1KlqDSEBQUhIcPHyIkJERtufDwcHz66aewsbHh5ezdu7dWH+Dx8fEqP8BfvXoFQLuPa3nGjBkj\naAVzcHDQWJeI0KxZM/5adgJoCuAoANUjnJZyATj97lj0Lm3z5s349ttvy9ly2fuqMvD29sZvv/2G\nwsJC7NmzB2KxuMybabVBndWzMvgodrWnpqYiNjYWkyZNQqdOnRTyiouLMXz4cISHh2s9SGzfvh0M\nw6j0AaoJbncYN8AAMlPlnTt3BMtzmlErKyuVbXIvGX9//zJp+S5evIjk5GT4+vqWqh639lJI39cL\ngDuAHwGMxb/aS204DyD9Xb0QAEuXLuXXUb548QJjxozBgQMHVGrJ3ld/NGrUCIaGhvzuv/LAMAxa\ntmzJ/33q1CkwDKPgs5KjVq1a/ISEK2tpaQl7e3u158jJycGzZ88ETTJ3794Fy7IaJ69lwd7eHuPG\njUNERAS+//573LlzBxs2bAAR4dy5cxg1ahQKCwsrbC2WNtSoUQNhYWHo0KEDpk6dikaNGqktzz33\nPXr0UMp78+YNnJyckJKSopAeHh6OyZMna7121cDAgNd4SqVSmJub8797iUSCdevW8XkMw+D169dK\n2uv09HT8/PPP2Lt3r4KGUyQSVcr6L84iwuHp6cn7n/X29uY/zgDZh0hwcDAKCwtx48YNLFy4EC9e\nvFDpPzMxMRFbt27F3bt3eUuAr68vP2kBgPXr1ytYswDZ5IazZsnvrNdEaawcANC2bVu0bt1a6/ZL\nwq2HXrJkCcaNGydYhtNoTZw4UUETK5FI8NtvvyEpKUnlx5CPjw8WLFiA+fPno8Vbc/8AACAASURB\nVH///kr5xsbGALSbaMtjZ2encM9LA8Mw+O2335Ceno5vvvkGRwD0LEs7QnIB4KQyBfAdgC+++AKr\nV6/Gl19+CUdHxzLJDJS9ryqDYcOGYcaMGTh27BjCw8PRp0+fSjX/l3zGK5uPQuO5c+dOMAyDGTNm\n4IsvvlA4PD094e7urrW5PTw8HJs3b4ZEIuE3UKhCfg2GPEePHgUAhUlCr169cOnSJVy7dk2h7MuX\nLxEeHg4XFxeNZpzhw4ejSZMmmDdvXqlMamlpaRg5ciT09fVLtdkCkGl9GYZBgYr87wA8g8y5b2nY\nCaAGABfIXlRjx47l79mXX34JW1tbjffsffSHWCzGp59+iitXrmjdvjY8ffoUS5YsQatWrdS67AJk\n6yOvXLmCqVOn8mlv374V3BTFaYB79lR+1V+9elWl+6+KhFt+8uDBA4wePRoWFhbYsmULGjZsiO++\n+06tJruiYRgGEyZMQHR0NF68eIHi4mJ+o1ZBQQFWrlyJ/Px8nD17FgsXLoSNjY3gx46hoaHK+8S5\nD9IGfX19vH37FgkJCYiNjVX4uJBIJEhLS8PDhw8hlUpRr149LFq0SLAdGxubSjGra0vXrl2Rl5eH\ny5cvK6SbmprCw8MD3bp1w9SpU7Fjxw7s378fq1fL7CLZ2dnYsmULJk2aBCLCoUOH4OHhgQsXLiAp\nKQlBQUEKk06g6q1Z5SUwMBAPHz7EL7/8IpgfGRmJt2/fYvny5fz12dnZYdq0aQCgtdbz0KFDSvnc\nGJSQUBand5ohImRmZuKPP/5AREQEoqOjQURYsWIFfvzxRwCAkM6M03wK2wBlazk1aUe5uu3btwcR\n8Zs1y0pl91Vp4FzoLV++HNHR0ZVqZq8KPgqNZ1hYGJydnVX6ZuvXrx8mTpyI+Ph4ODs7A5A9MHv2\n7EGNGjWQn5/P+3qTSqVwcXHRyoQzceJE5ObmYuDAgbC3t0d+fj6kUikiIyNhY2OjsOB51qxZ2LNn\nDzp27IixY8fC3t4eGRkZ2LZtGx49eoRt27ZpPB/LspgzZw78/f1VDjpXr15FWFgYiouL8fLlS/zx\nxx/Yt28fWJbFzp07Bdev/P7774LLAFq2bIkWLVqgmY0NMlSsieoBwAnACgATAMjvA9wL4JZAnREA\nfoPMZB8PwL5JEyVzd79+/bBmzRo8e/ZMpWm4svqjJP3790dAQABycnIU5Hz16hXWrFkDhmEglUpB\nRFi7di0++eQTfPLJJ5gwYQJftnPnzmjfvj1sbW3x8OFDbNy4Ea9fv8axY8cUzhUdHY358+eje/fu\nqFOnDi5evIitW7eiV69emDRpEl/u0aNHcHFxgZeXF//CPHHiBI4fP45evXqhX79+Cu0WFhbiwoUL\nWkfTIiJs3rwZx48fV8qbMmWKVm2Ymppi40bZJ8m1a9cQGhqKTZs24fnz56hevTp+/fVXDB06VDDS\nUmnJyspSOUD7+Pjgs88+w7x58zBx4kR8/fXXOHPmDLKzs3Hy5EnMmzcP2dnZsLa2xqFDh1Rq5+bP\nn4/w8HB+ow9HdHQ0Dhw4oFU0La7t6OhoSKVShY+JNm3aQF9fH+fOnUNcXBysrKyQmJio1Ia+vj5+\n+OEHjeeqTLhlC+o8QgCyD+5OnTph3rx5iIuLw8GDB5GXl4fWrVuDYRhs3rxZ7drfD82aVRY6deqE\nzp07Y/HixYL3LTw8HC1atBBcpxgSEoLw8HC1axiHDx+OhQsXYt68eUqb6ezs7NCsWTMcPHgQq1ev\nVvIBrA1v375FWloaUlJSFI67d+8iJSWFN1ED4JdKfPLJJxgyZAhWr1qFmwBKetblbHt3AJQctd8A\nuA9A0x1KhOzDklPYaPotaqIi+qoi8fb2xujRo2FiYiKoSPhP8z58NlU2LMtSUFCQyvy0tDRiWZam\nTZtGRP/67+IOLrpFv379aNu2bXwkEE1ERUXR6NGjycHBgYyNjcnAwICaNm1KU6ZMEYyi8uDBAxoz\nZgw1bNiQqlWrRqamptS/f3/6448/lMqOHDmSjI2NldILCwvJzs6OWJalSZMm8empqakK18S13759\newoICKD79+8rtcX5XVR1zJs3j4j+9ePZR4XPtW3vfLJtk/Pjyao55r/7dyNA5mKxoH/TCxcuEMuy\nfMz799Efqnjy5Anp6ekpRWvhfN4J9V1Jv2nTpk0jW1tbMjQ0JAsLCxoxYgTdvXtX6VzJycnUo0cP\nMjc3J0NDQ3JwcKAlS5ZQQUGBQrmXL1+Sr68vNW3alGrUqEGGhobUokULWrx4saD/uePHjxPLspSc\nnKzxejm/cKqOjIwMvn/lo7PI+/FURV5eHjk6OlLNmjWJZVkyNDSk4cOHU7169dT68WRZVq0fT3Xy\nlrwu5l2sd/nDyMiIDh48qLFv5s+fr1QXANna2moVFcfS0pLEYjFJJBJiWZYuXryokC+RSPg8sVgs\neK6SPmw53pcfTyJZlBWWZenOnTt8Wkn/hbdv36bvv/+eTE1NCQCZmZlRcHAw3bt3T2v/gQsWLCCW\nZSk9PV0wv3v37uTg4MD/rc6PZ1hYGIlEIiX/o0KU149nyXfahQsXiGEYcnFxUWj3/v37xLIsBQcH\nC7YfHh5OLMvS5cuXiUi1n81t27YptC9//REREXw0JKF3Q1RUFO3YsYOkUimtWrWKGIahtm3bUqdO\nncjS0lLheRGLxdSkSRPq1q0bjR07lhYvXkx79uyhq1ev0vPnz5X6375JExovMGY8AUgfIE+Aikvk\nrXw3PhxW48eTABoPUHNbW/L19SWWZSkqKoq/prL68dTUVydPnqQjR46obbe8fjw5srKyaN68ebR7\n924+7X0+45XJR6Hx1OTioVGjRgplAgMDK2QXXPfu3dG9e3ety9erV0+luaUkoaGhCA0NVUoXiUT4\n+++/ldKtrKxK7erC3d1dqzrjxo3D2rVr4aUi3/fdwbcLmc9PdfwA2a7EJ4WFgmu0OnXqpCDb++gP\nVZiZmcHX1xchISEK2hkrKyuV/kZLsmzZMq02f9jY2AhqGUtSq1YtrbTkHCEhIRg4cKCSGVMIPz8/\nwR3LJSnZv9r8nvT19XlzZ0ZGBrZv347Q0FA8fPgQCQkJmDdvHvz8/BSixbRp00Ztu+fOndMoK/Dv\ndd25cwcuLi4KWv7Xr19jwIABCAoKQkBAAFhWeBXStGnT8Msvvyj4UwVkrlg2bNiAyZMnq5WhuLgY\nDRo0wMWLF2FgYIA2bdoo5EskEixfvhxEJPjb0tfXh6WlpVbXy0HlXPcpbxF5/vw5Dh48iOjoaHh5\neSmtFy4oKEBISAi2bduGS5cuoVatWhg2bBhOnz6NwsJCfPfddxCJRPxaWU3WlqqyZnHtVBSdOnWC\nu7s7Lly4oGCd4bT0qtx+9erVCyKRCGFhYWjbtq3K9rm1nvHx8UrWnyFDhuDPP//E0qVLER0djRYt\nWqCoqAgZGRlIS0tT0uADsqh8TZs2RevWrdGjRw+Ym5vD3Nwcbdq04b0zaEO3Xr0QsWEDVhUWKng/\nMQMwF7JxoBOAfgCqA5BCtum0B4A+Au1dBRAGoADATpaFORF27NgBNzc3pbH4yZMnCA4OVmrD2tpa\npZZ9yJAhSEhIwI8//ohr167By8uLj1x04sQJnD17ll/6oY6kpCTBc7u4uGjtB9TY2Bhz587VqmxF\nPuPycM9hhfNep7k6/rP06NaNrMRihVjt5TnkY7X/F7h37x4ZGhpSbGxsVYtSam7dukV6enp08+bN\nqhZFkOLiYoqJiaEvv/ySatSoQQCoS5cutGPHDoXIQxV1rnbt2glqErmjR48eCpG7SrJ161bBeiYm\nJvT8+XO157ewsKBOnToRy7LUsWNHpfz9+/cTy7KC7TMMQw0aNKB+/foJti2kcdZGG2JjY6O2PfnD\nwMCAHBwcaNGiRbxGqKCggI4ePUpGRkZ8uV69elFERAS9efOGiGQaOXmttTbWlj///LPKrFnaajyt\nra2V7kdJ60vJ/hSJRHy7LVu2VKmN4vDw8KC6detSUVGRoKWBSBbHfsWKFfx1T58+nXx8fEgikVDd\nunUFf0vVqlUjKysrGjVqFO3fv5/++usvunHjhtr74u/vr1ZWVZGLwlSMA+EASQCqCZAhQA4ALQQo\nv0S51BJWMy5me6NGjWjWrFlK7wl1VpBu78YcddpxoVjtvXv31soq0rhxY5Xn5qKWCVnwOnfuTC1b\ntlTb9vt4xoWsnhUNQ/QRuMHXUencvXsXLRwc4JWXV+qNRCUhyNxi7DIwQMLNm+WKCqTj4+L169fY\nu3cvQkNDceHCBRgbG2PYsGHw9/fHZ599ViEbam7cuIFBgwYJaso5GjVqhL179wpqmYqLi9GmTRvE\nx8cr5U2bNk2tZtvMzAzffvutypjv+fn5aNmypaAHjHHjxmnljPx9kZCQgG3btiEsLAyPHj2Ck5MT\n/Pz84OPjg3r16lW1eB8dr169UlhbKX+kpqYqBHCoX78+bGxsYG1tDRsbG4Wjbt26KjX6lUHP7t1x\n69w5JBQWoiK2Nb4C0EIshoOHB45rGQhAxwdGpUxndXyUbNy4kQDQgnJoOoshW+MJgDZt2lTVl6Tj\nAyYpKYkCAgKoYcOGBICaN29OS5YsoYcPH5a77aysLPL09FSr+axWrRqtX7+eiouLleqfOXNGZR11\n62hr165NixcvVpm/dOlSldpUdVrY98XTp09p9erV1Lp1awJAderUoYkTJ9LVq1cF+0mH9hQUFFBK\nSgqdPn2afv31V5o1axYNHTqU2rZtS3Xq1FFak9yiRQvq378/TZ06ldasWUNHjhyhmzdvUm5ublVf\nigIpKSlkZGBAoyvAUlYM0GiAjAwMKCUlpaovTUcZ0U08dZSKhQsXEt49/KU1u2e9qwdA5WJ6HTpK\nUlhYSCdPniQvLy/S19cnkUhEffr0oX379ils6MnOziZfX186efKk4MaAkhQXF9PKlStVbuLhjuHD\nh1NOTo5S/T59+giWHzx4sMpzGhsb07JlywTzHjx4wC81KHmsX79ei54qH/n5+XTo0CHy9fVV6Ne3\nb9/S/v37acCAASQWi0ksFlP//v1p//79Wm2o0iGjuLiYMjMz6Y8//qCIiAj66aef6KuvvqKuXbuS\njY0NiUQi/n6zLEuNGjWizp0706hRo2jhwoUUHh5Oly5dosePH//nJvk6pYUOeXQTTx2lZuPGjWRk\nYECNxGIKA+ithhdGHmRrfBqJxWRkYKB7aegoM8+fP6f169dT27ZtCQCZmprSlClT6K+//qItW7bw\nA3fDhg0pICCAkpKSNLYZExND9evXVzv5dHR0pNu3byvUu3nzpsJkQf5QtRbYyMiIVq5cKZg3YsQI\nwbacnZ21mkiXlfj4eJo6dSqZm5vz59y3bx9dvXqVJk6cyO9Kb926Na1evZqePHlSabL818nLy6M7\nd+7Q8ePHaf369TR9+nT64osvyNnZmYyNjRXua61atah169bk6elJM2bMoA0bNlBUVBT9888/H+WE\nXqe00MGhm3jqKBMpKSnUo1s3AkDmIhGNB2gzQJcA+uvdv5shc3lh/k6j1KNbN515REeFkZCQQNOm\nTeMnTKq0he7u7rR161ZBrSXHo0ePyMPDQ+3ks0aNGrRnzx6FeuPHjxcs6+rqKqiVMjAwoDVr1iil\nS6VSleeNjo4uf2eV4PHjx7RixQpq1aqV4Dlr1qxJAMjCwoKmTZtG169fr3AZ/osUFxfTo0ePKDY2\nlnbu3Enz588nf39/cnd3p4YNG2p0PRQZGUlXrlzRuAntY0WntNBBpJt46igniYmJ1Lt3b9IDlPwj\nMgxDzW1taeLEiR/sjmod/33y8/Npw4YNaieN3MRx1KhRFBMTIzgpLCgooO+//15jO1OmTOF3Rz9+\n/JifpJU8IiIilM6hp6dH69atU0grLCwkFxcXwTZ8fHwqrJ/y8vJo79691LdvX5WaWvlnNzw8XMl/\n7P8HXr9+TYmJiXT48GFavXo1TZ48mfr27UuOjo5UvXp1hX4yMzOjdu3a0bBhw2j27Nm0adMmOnv2\nLKWmpv6/7DttUFBaiMU6pcX/Q3S72nWUm3nz5uHnn39GSkoKkpOT8fbtW+jr68PW1lYpIpEOHZVB\nQECAoN88VTRt2hQjR46Er6+vko/Iw4cPw9fXFy9fvlRZXyKRIDIyEg0aNMCiRYsEd6lbW1vj1q1b\n0NfX59NEIhHWr1+PsWPH8mm//PKLYBzvGjVq4M6dO6hfv77W11USIsKVK1ewdetW7N69G8+fP9e6\n7qpVqzT6Jf0vUlxcjAcPHqjcIf7o0SO+rL6+vsLO8JL/r+zwsx8zN2/eREhICE4fP47byclKvigt\nTEwwxMcH48ePR/PmzatISh2VgW7iqaPcDBgwALm5uTipc22ho4pYtmwZli9frjBp0AaWZfH555/D\n398f/fr14yeJKSkp8PT0xLVr11TWNTMzw65duyCRSGBvb4979+4JysXF3CYisCyLjRs3YvTo0QCA\nzMxMNG3aVHBCuHjxYsycObNU18ORkZGBnTt3Ytu2bbh1SyhwrXoaNWqEOXPmYMyYMWU6f1Xz6tUr\npUkl9/fdu3cVXA/Vq1dPyeUQN7GsV6/ee3U99P+VnJwcJCUl8UqLGTNmQE9PTymksI6PA93EU0e5\nsbKywtChQ7FkyZKqFkXH/2MKCwtx4sQJhIaG4tChQ3w8cW0xMTGBj48P/P394eLigry8PEyaNImP\nNy8Ey7JYsGABGjZsCF9fX6X8Tz75BElJSahTpw6ysrLwySefYM6cOfD09IStrS1mzpwp6JuzadOm\nSEhIUBk3Xog3b97gwIED2LZtG06dOqV1VC0OIyMjDBo0CCNHjoS7u/sHPeEqLCzE/fv3BTWWd+/e\nxbNnz/iyRkZGghpLGxsbNG7cGIaGhlV4JTqEmDdvHtasWYNnz55ViO9eHR8WuomnjnLx/Plz1KlT\nB+Hh4fDyUhVUU4eO98vTp08RFhaG0NBQXL9+vdT1W7VqBX9/f/j4+ODIkSMYP3488vLyVJbv3bs3\nMjIyBJ3Kt2rVCm9zcnAnJUXBnMgwDMREKBBo78SJE/j88881yklEiI2NxdatWxEZGYlXr15pdX3y\neHh4wM/PD4MGDfpglsYQEV68eKGkreSOtLQ0PowqwzBo2LChkraS+7+ZmZlu8vIfIyoqCj169MDf\nf/8NOzu7qhZHRwWjm3jqKBdnz55F165dcevWLdjb21e1ODp0KEBEuHbtGrZs2YLw8HC8ePGiVPX1\n9PTQr18/uLu7Y/Xq1UhOTlZZtm7dugqmfhZAMQATAEMBtAXgAFlM6lwANwH8ASACwHO58v3798eB\nAwfUypWWlobt27dj+/btSEpKKtU1AUCTJk3g5+eHESNGoHHjxqWuXxHk5+cjLS1N0ByekpKCrKws\nvmytWrUEzeE2NjZo1KhRqTTDOj58Xrx4ARMTE2zfvh0jRoyoanF0VDC6iaeOcrF8+XLMnTsXr169\ngkgkqmpxdOhQSV5eHg4dOoTQ0FBERUUpbWbQhIWFBYyNjfHPP/+oLMOyLIqLi8ECqAdgCQBPAOqm\nRfkA9gKYAeAxgAU//ii4WSknJwf79u3D1q1bcf78+VLJDgDGxsYYMmQIRo4cCYlEolELSETIzMwU\nNGeHhYWhbt26Gus/efJEsH5KSgrS09P5eyAWi2FlZaXSJF67du1SX6+O/zbNmzdHly5dsG7duqoW\nRUcFo5t46igXI0aMQFJSEi5evFjVoujQoTXp6enYvn07QkNDy6Qx1MSXAFYCpYpNnQ1gKoDNABYu\nXIg5c+aguLgY58+fx7Zt27Bv3z68fv26VHKwLItu3brBz88PAwYMUFrP+PbtW6Smpqo0aWdnZwu2\nGx0dDTc3N+Tm5qqtn5uby9cxNTUV3MBjY2MDS0tLiMXiUl2bjo8bf39/XL9+HVevXq1qUXRUNO/N\ncZOOjxJHR0caN25cVYuhQ4DIyEhiGIYOHDiglNeyZUtiGIbOnz+vlNewYUPq0KED/7eVlRX17dtX\n8Bznz58nhmFo3759fNrWrVuJYRi6evUqpaamEsMwGg+WZSktLY1vT/4wMTEhV1dXCgsLUzq/lZWV\nQlkjIyNq164dbd++XaWsqg59fX2NPjy1OfQAagRQX4BCtXCSXfKYin/jcZf0javtUbt2bQoKCqL7\n9+/Tw4cPSSqV0o4dO2jevHk0YsQIatKkCenp6ZX5Gu3s7KhevXoKafr6+mRvb08NGjTgfYEyDEM1\natSgFi1a0PLlyzVG5Cl5j/T09MjGxoZ8fX0V/Dhyv6vly5erbY+IqKioiLZs2UKdO3cmExMT0tfX\np8aNG5O/vz9duXJFY30dVUNISAiJRCJ6/fp1VYuio4LRfWLqKDNv3rzB7du3MWnSpKoWRYcAbm5u\nAICYmBj079+fT8/OzkZiYiL09PQglUrh7u7O56WnpyM9PR0+Pj58miaTrFA+l2ZmZoadO3cq5C1b\ntgwZGRlYtWqVgrnbzMwMd+/eBQBMmTIFn376KQCZy6GIiAgMHz4cWVlZGD9+vMJ5XFxcMH36dBAR\nHj58iE2bNsHPzw/5+fn48ssvlWSTb1ue1q1b49KlSwgNDcXvv/+u9poF+wGAOwBfABkAogCMArAK\nwFEADVRX5TkC4FfITPOl1W7q6+vD0tIS+fn5uH//PpYsWYLFixfjzZs3pWpHGwwNDeHt7Y1nz55h\nw4YNiIyMxMCBA8GyLPz9/REREYHNmzeDiPDy5Uvs27cP06dPx5UrVxAeHq6xfe4eFRQU4M8//8Qv\nv/yCY8eOISEhQaOJX568vDwMHDgQUVFRcHd3x5w5c2BiYoLU1FRERkZi+/btuHfvXrl8peqoHFxd\nXVFUVISrV6+iY8eOVS2Ojoqkiie+Ov7DXL58mQDQ5cuXq1oUHSqwsbEhV1dXhbSoqChiWZZ8fHyo\nZ8+eCnm7du0ilmXp8OHDfFrjxo1LrfFkWZauXr0qWKdPnz5kbW2tdXtEsuhElpaW5ObmppAuJNvT\np0+pZs2a5OjoqFXbQvzzzz80Z84cpUg16o56UI5BHQ6QCKD2Wmg6kwGqAZATQEkA1QeIrQANbGUc\nI0aMICKivXv3EsuydOHCBb7vRo4cSTVr1lToz+LiYmrbti2xLEsPHz5U2e+q7tHatWuJZVlatGgR\nEWmv8ZwwYQKxLCsYprS4uJiWL19OGRkZ6n8MOqqEgoICMjIyoiVLllS1KDoqmA/XUZuOD55r165B\nJBLBycmpqkXRoQI3Nzdcu3YNb9++5dOkUimcnJzQs2dPXLp0SaF8TEwMGIZBhw4d3reoatHT00Pt\n2rW1WgdoamoKe3t7tTvQNWFra4uAgACIxWKMGTMGAwYM0FgnCMprOr0AjAYQB+CMhvqLIdvtHgqg\nCYClkO1y/5AQiUSwtraGiYlJqeoxDIPOnTsDAFJTU0t93i5duoCIeI24NmRkZODXX39F9+7dMXHi\nREGZvv32W5228wNFLBbj008/VXpH6fjvo5t46igz8fHxsLe31zlg/oBxc3NDQUEB4uLi+DSpVAqJ\nRIL27dvj5cuXuHHjBp8XGxsLe3t7pV3EBQUFyMzMVDrUhZUsD9nZ2fw5/vnnHwQFBSExMREjR47U\nWLeoqAjp6ekqd0LLty1/lOTgwYN4/fo1AgMDsX//fri7u8PJyUnQTA8A/VTIMwIyNaGmuF5HAdgC\n4FofBJkrpqqgcePGGDJkCGbNmgWGYTBgwAAkJyfjzZs3SElJwapVq0rdJreJq06dOu+l7vHjx1FU\nVIThw4eX+nw6PgxcXV11E8+PEN0aTx1l5tq1a3B2dq5qMXSowc3NDUSEmJgYdOrUCUVFRYiLi4O/\nvz9sbGxgYWGBmJgYODk5IScnBwkJCYLrIqOiomBmZiZ4jspwzj1q1CiF9Z8ikQjBwcHw8/NTKstN\nigHg0aNHWLx4MR4/foxvvvlGq7YB2TU8fPgQ5ubmfFpYWBgkEgmvERs+fDgmTJiABw8e4MGDBwgN\nDcXOnTuR+fQpCKpdJnH2AHX612wADwAMlEvTh8z/50YApYvBpB6xWKzkrog7srOz4e7uDk9PTyxd\nuhSALHQn56C9NHD3JCsrCxERETh48CBatWqllUNw7uOAW+M5efJksCyLQYMGaX1+LlRoixYtSiW3\njg8HV1dXLF68GOnp6bC0tKxqcXRUELqJpw6VlIyfa2try0c2KSoqwvXr1+Hp6VnFUupQR/PmzVGn\nTh3ExMQAkGmpc3NzIZFIAAASiQRSqRTjxo1DbGwsioqK+E1J8ri6uiI4OFhpwhYfH48ZM2ZUuNyB\ngYG8HM+fP8ehQ4cwe/ZsGBkZKZlNhSbFo0aNUhnCVb5teeTNx8+fP0dUVBRWr17Npw0aNAgTJkxA\nZGQkxo8fjxUrVmDOnDkwNTWFuqk3FwtI2DGRDC7eUMm4QZ8CUA6oqRmxWAwHBwe0aNGCn2Tu27cP\nx48fx61bt2BraytYj1ueUJYISPLk5OQo3BNu+cb27du1qi//ccAwDMzMzLB9+3a0bt1aaxm4a6hZ\nszROrXR8SHz22WcAgEuXLqkca9SNUzo+THQTTx0K3Lx5EyEhITh17JhgiL9mNjbo1qsXunfvjtzc\nXLi4uFShtDq0QSKRIDo6GoDMzG5ubg5ra2s+j3PQLJVKwTCM4KTM1NQUHh4eSukikajUjti1wcnJ\nCV26dOH/9vT0xMuXLzFr1ix4e3srmFy5SXFhYSFu3LiBhQsX4sWLFyqj2ZRsW4jdu3ejsLAQzs7O\n/GSMiPDZZ58hLCyM31l///59AFA78cx596+66Q+Xl1Mi3VFFeQMDA9jY2KCwsBD//PMPRo0ahcaN\nG8PAwAD79u1DWloaIiIiFKKJJSQk4Pjx4wq+NUvC+e0s7WStpNbb0NAQR44cARFBX18f1tbWpVpL\nyX0ciEQimJqaonnz5qWOHW9sbAwAKn2R6vjwqVevHqysrJQmntqOU+PGNRj6NAAAIABJREFUjYOD\ng0NViK5DDbo1njoAAHfv3kXP7t3h6OiIiA0b4JGcjM1EuATgOoBLADYTwSM5GREbNqBv375gAV1E\nkf8Abm5uyMrKQkJCAmJjY3ltJyCbeKalpeHhw4eQSqWoX79+lYVQ1ETXrl2Rl5eHy5cvK6Rzk+Ju\n3bph6tSp2LFjB/bv36+grSwtnMsfiUQCOzs72NnZoWnTppBKpbh48SK/QUZ+05YquBW0wjpGGcaQ\nRTq6USKdWz391VdfYeXKlWAYBoGBgcjNzUViYiK8vb3BMAyWLFmCgIAATJ8+HadPn4aBgYGCSyxA\npv0mIrWx6//66y8AUBis9fX1Vbpk4iaxBgYGCukikQgeHh7o0qULOnToUOoNPNzHgbu7OxwdHUs9\n6QQAe3t7EBESEhJKXVfHh4P8Os/SjlOOjo7o2b17qTal6ah8dBNPHdi0aRNaODjg1rlzCANwv7AQ\n6wH4A/gMQIt3//oDWP8uPwyygbKjRIJNmzZVleg6tIDTYEZHR0MqlSrsWG/Tpg309fVx7tw5xMXF\nfXC72eUpLJStdMzJKakXVKRXr15wd3fHjz/+WCYflqmpqYiNjcXEiROxd+9ehSMiIgJ6enr8xFRf\nX19je9sh04h+rqFcbwBJAK7IpXHSf/311xg4ULYC1NjYWO26WiMjIwQGBiI+Ph6RkZF8es+ePSES\nibBjxw7Vsm7fDj09PfTo0YNPs7Kywp07dwTL3759my/zocFdb0k/sjr+W7i6uuLq1asICQkp0zh1\n89w5tHBw0I1THxC6ief/c4KDg/HVV1/BKy8PCYWF8Ib6uNJ4l+8N4BYAr7w8fPXVVwgODq50WXWU\njU8//RT6+voICwvDgwcPFDSe1apVg4uLC9atW4fc3FxBM/uHwuHDhwEArVq10lj2u+++w7Nnz7Bx\n48ZSn2fnzp1gGAYzZszAF198oXB4enrC3d0dYWFhAMCvlVS12CAcshCYEgDKCxUUmQmZhnMUgCfv\n0hIhMx3a2tqiuFh750o+Pj5o0KABFi9ezKdZWlrC398fp0+fRkhIiFKdkJAQnDt3DqNHj1bQUPbq\n1QuXLl3CtWvXFMq/fPkS4eHhcHFxUdiU9aFgaWmJr776CidPnsTPP/+slE9EWLFiBR48eFAF0unQ\nFldXV+Tl5WH8+PFlGqduFBbqxqkPDN0az//HbNq0CQEBAVgAIKAM9WtCtuO2EYCAgADUrVtXcEe0\njqpFT08Pbdu2RXR0NAwMDNCmTRuFfIlEguXLl6tc31kWyrvu8/fff+e1lc+fP8fBgwcRHR0NLy8v\nNG3aVGP9Hj16wMnJCStWrMCECRMgEokE25anZcuWaNGiBcLCwuDs7IwGDYRjDfXr1w8TJ05EfHw8\nnJ2dYVq7Np69eIE9kG0Oyse/kYukAFwARAq2pIgtZBNVbwDNAPhAZnq3MDVFcHAwwsPDIRKJtNrd\nKxaLMXnyZMyYMQMnT55E9+7dAQArV67EnTt3MGHCBJw4cYLXbJ44cQKHDh2Ch4cHli1bptDWrFmz\nsGfPHnTs2BFjx46Fvb09MjIysG3bNjx69Ajbtm3T4uoqh9OnTwveywEDBsDR0RHLly9HSkoKJk+e\njN9++w19+vRB7dq1ce/ePezZswd37tyBl5dXFUiuQ1u4Dx7dOPURUQVO6yuFiorZzLIsRUREKNUp\nKiqievXqEcMwdOLECUEZgoKCFNqqXr06NWrUiPr27UuhoaEa4xSXJDk5mcaMGUM2NjZkYGBAxsbG\n1KFDB1q9ejW9efNGoWxBQQGtXr2a2rZtSzVr1qQaNWpQ27Ztac2aNVRQUKDUNhdP2VEggsp5gBiA\n9pVIvw7QIICsADIAqAFA3QBaA9BogIwMDCglJYUYhqGJEycKXtPevXuJYRiFSCd+fn5Uo0YNwfJ5\neXlax/qOi4uj27dvE8MwtG7dOr6NEydO8GUSExOVzjF06FAyNTUVPP9vv/1GvXv3JnNzc9LT06M6\ndepQ586dafXq1ZSTkyNYR9u2OTZs2EAMwyjINmvWLGIYhsRiMT158kSpTmZmJunp6RHDMDRjxgw+\nveT1161bVynet1DfMQxDtWrVEuxbrt7UqVMVrks+39DQkJo0aUJDhw6lSZMmaYxcZGNjI5h3/vx5\nYllW4TAwMCAHBwdatGgRFRYWKpS3tramfv36Cba1bds2YlmWtm3bprJt+WPevHn0559/EsuyFBQU\nJNgmEVFaWhqxLEvTpk0jIqJ27doR3kUZYgGqDlms9n4AbQMoX4uoRfJHCkATALJ71+96enrk4OBA\nEyZMoOvXryvIEhQURCzLUmZmppKcr169otq1a5OHh4dCutC74tNPP6W1a9cq9S/HgwcPaMyYMdSw\nYUOqVq0amZqaUv/+/emPP/5QKjty5EgyNjZW2X/q4O6RUHSpyMhIYhiGDhw4QKmpqQr3Tv63zbIs\nhYWF8fUaNmxItra25O7uTrVr1+Z/r/7+/hQfH690fqFIXAzD0NWrV/mISdq8j9LS0gTHGhMTE3J1\ndVWQkeNjGse4fuMOAwMDatq0KX3zzTf0+PFjra9DX0+Pvnz3bFi9G5smlXHcEr0r4+bmRmvXrlXq\ne6EIba9fv6b58+dTy5YtqXr16lSrVi3q2LGj4D0hIl72FStWqOwTVe9GIlk0Nm1+X9x7rWSesbEx\nubu709GjR5XaDgwMJIZhBN8XRESOjo5K74vK4KPReFZkzOb27dsrpZ09exaPHj2CtbU1wsLC8Pnn\nwiu2GIZBSEgIjIyM8PbtW2RkZCAqKgqjRo3CqlWrcPToUZWaFHmOHj2KIUOGwMDAAL6+vnByckJ+\nfj5iYmIwc+ZMflcfIFvg36tXL0RHR6NPnz7w9/cHy7I4ceIEJk+ejP379+Po0aMKjt6fv/OxlwLg\nEYCS0Y9LriCLBdAFgBWAMe/K34dsMfdayNalnSwsxNdjx2q8tpLr0xiGUblmrVq1akprtDZt2oTY\n2FiEhoYqaNZsbW3x9OlTteeeN28eIiIiNJ6/uLgYw4cPx+7du+Hi4oJJkyahQYMGePXqFWJjY/Hd\nd9/h1KlTvPlX3bVq8nOp6fojIiKUfFLu2bMHYrEYRUVFattev369gkbowIED2LdvH9atW8fv+gWA\njh07wtzcHIaGhujdu7egFqh58+YKMtesWRMhISEgIuTm5iI1NRWHDh1CZGQkunXrplBeHnV95u7u\nrvGa5ElJSVGZ5+vrC19f31K3ralMo0aNFMqEhobC0dEROyDTVpYXawA/Q6b99IFsw4+qvgwMDERg\nYKBgXs2aNfH8+XOldLFYjEmTJmHSpElay1SvXj388ssvWpUNDQ1FaGio1m3Lo+4ecdr4mJgY9O/f\nny+XnZ2N2rVrQyQSITAwELNnz+brpKenIz09Hd999x1++uknAIC1tTVatGiBLVu2CJ5H6Fnk0szM\nzJTeR8uWLUNGRgZWrVql8D4yMzPjN7XIjzWZmZmIiIjA8OHDkZWVxXtI4M7zMY1jDMNgwYIFaNy4\nMfLy8hATE4MNGzbg+PHjuHHjhsKmNKHrWPzTT8i8dQsrufbeHRsBfI/Sj1u1AMxhWdy+dQtr1qxR\neK8K3fcnT56gS5cuvGZ84sSJyMvLw759++Dn54fjx48jLCxMcExbunQpxo8fr7TxTtN4sHr1aoV1\n7EePHsXu3buxatUqBW8e8kumunfvDl9fXxAR0tLSsOHdBuATJ06gW7duCudWd/6SeS9evKicDcSV\nPrV9T1RWzGYOPz8/XitQs2ZNys3NVSqjTvsQHh5OIpGI2rdvr/Fcd+/e5eWW/zLkSE5OVog9PGbM\nGGJZltavX69Udv369cQwDH399dd8WmJiIgGghgBVA2iyFl+OvQCygHIsagLo6bt/w+S0Duo0ntrE\ndlbH6NGjydDQUDBPncazdevWJBKJlLSew4YNIzMzM4U07sswICBA8DwPHjzQGCdaVdslCQkJUdLG\nzpo1i1iWJU9PT5JIJEp1OnXqRIMHD9ao8SzJwoULiWVZwd8Vp12Wb68s1zVv3jxiGIZGjhypsZ2P\nhR7dupGVWCz4fJTlyAKokVhMPbp1q+pL+6CwsbEhV1dXhbSoqChiWZZ8fHyoZ8+eCnm7du0ilmXp\n8OHDfJrQWMGhSuOpSYNvbW2tdXtERPn5+WRpaUlubm4K6R/TOKaq36ZNm0Ysy9Lu3bvVXgc3ToXJ\nPReNAWpRznGLG6ekUqnC+YT6/vPPPyexWExHjhxRur4ZM2YQwzBKseS5sYZlWVq5cqVWfaKOZcuW\n8Rp0IYTG21u3bhHDMNS7d2+FdHX3lojIyclJQeNZ8toqio96c1FFxGwGgLy8POzfvx9eXl4YPHgw\ncnNzcfDgwVK14eXlhdGjRyMuLg5nzqiP2rx48WK8fv0amzdvFly0b2NjwzvRzsjIwJYtW9C1a1eF\nL2eO8ePHw8PDA5s2beIX0YeEhIAF0BKAL2Rfj480yJ8CmU9BIe9+pu/+HQTAXCyuFL+O5YVhGEyd\nOhVGRkaYP3++2rLZ2dlYsWIF2rRpgwULFgiWqVevHr799tvKEFUBb29vXLx4EWlpaXzavXv3EBMT\nA2/vitCvVTxz585Fp06dsHPnTty7d6+qxXkvrP/lFzwTi1ERvwgCMA1ApliM9VpqGf+/4ObmhmvX\nrim4sZJKpXByckLPnj2VwivGxMTwzus/JPT09FC7dm2IxZqNjv/VcUwVXbp0ARFpdHEUEhICc7EY\nJd3GN0b5xi1unNq9e7faunFxcTh58iT8/f3Ru3dvpfyffvoJdnZ2WLx4sZJbtQ4dOqBLly5YsmSJ\nVi7XKhp7e3uYmpqW+zejzqJUHj7qiWdFx2weNmwYLCws0LlzZ35Xa2kYMWIEiAgnT6qP2nzkyBHY\n2NjwURvUcfz4cRQXF2PEiBEqy/j6+qKwsBAnTpwAAJw6dgxGkN38OQAKACzScB4rAFch22WrCn0A\ngworMrhfxWJiYsK7yOHC6Qlx/vx55OTkKPlBrAr+97//wdzcHLt27eLTdu3aBVNTU37DSEXz5s0b\nweeioKBA6zZGjBiB4uLiMg9O/zWsra2xau1abAKwsBzt0Lv6mwCs/vln3tG/Dhlubm4oKChAXFwc\nnyaVSiGRSNC+fXu8fPkSN2786w01NjYW9vb2SmMAF2a15PHy5ctKkVt+rPnnn38QFBSExMREjBw5\nUmPd/+o4poqkpCQAUDAbC13HicOH0buwUHD3ennGLW6cOn38uNq6hw8fBsMwKsdWkUgEb29vvHjx\nAlKpVCk/KCgIjx49woYNZYk9Vj6ysrIqxExeWW7SPqqJp/zLJDExEf7+/nj8+DEGDx4sWH7UqFEw\nMzNTOMzNzfHkyROFciVjNg8bNgwnT54UfLjV4eQki9qs7iskOzsbGRkZWscXvnnzJgD1LmZatWoF\nIsKtW7eQnZ2NOykp4LwPNgYwArKvx8dqzjMdQC4AZwAdAMwCcArKMaS5FTqlmaS8Dzgt7LfffqtR\n63n79m0wDANHR8W4MUVFRRpf7hWNSCTCkCFDFCae4eHhGDJkiMJO7Ypk/fr1gs/FcQ0vanmcnJxA\nROX+4v4vMXr0aLi4uOAHAKOhPkSmEK8gW4c2FzI3Z7qdt8q4ubmBiPgQsEVFRYiLi4ObmxtsbGxg\nYWHB5+Xk5CAhIUHQUwMXZrXkMXDgQI1r8MqC/FjTrFkzBAcHIzg4GH5+fkplP4ZxTJ6srCxkZmYi\nIyMDERERWLBgAapXr44+ffqovY5/UlOxFf+6FpOnMco3brkAuJ2crNYncGnH1pJ06NABHh4eWLp0\naaVrPfPy8pCZmYlnz57h6tWrGDZsGIqLi1X+ZrRl1KhRFSShIh/N5iKg6mI2awsXP1ZdCLfSxhfW\nJsQdl/fq1SskJyeDiKAnlx8AYAdkX48rBeoDwP8AXATwE2RuYi4BWALADDLtTN935bipWmVpDsqL\niYkJvvnmGyxZsgRz584V3LTB3YOS8X6vXLmisGCfYRhkZ2ejevXqlSqzt7c31q1bh8TERD4Si5Af\nxopi8ODBGDNmjFK6Nv4zObT5rX9s/P3333zkn1AAxwEsBeAJ9T4H3wLYB+B7sRiZYjE2/fyzbtKp\ngubNm6NOnTr85DI+Ph65ubn8RguJRAKpVIpx48YhNjYWRUVFgu94LsxqyWVB8fHxmDFjRoXLLT/W\nPH/+HIcOHcLs2bNhZGTEL5vi+BjGMQ4iQteuXfm/GYZB48aNsWvXLtSrV0/ldSQlJWHs2LFYC8AE\nwpRn3PrknWxJSUlwdnYWrFvasVWIoKAguLu7IyQkBJMnT1bZTnnZvHmzgoP8atWqYebMmZg6dWq5\n2q0s/7wf1cSzKmM2awP3daXuh1za+MJcW+rKyz9A3JeX/De9NWRfj79C9kWoijYA9kKm5fwLwH7I\nHvjBAOIB2OPfEH+adgZXhlZBW6ZNm4a1a9di/vz5CppEDq5PS34NOzg44PTp0wBkO+tL7o6vLFxd\nXdG4cWOEh4eDiNC4cWO0b9++0r6iGzVqpPG50IQ2v/WPjfnz5/NO3oshW3/mA2ASw2AIET6F7MPM\nELKIRImQeYPYJxbjSWEhenh4YP0vv+jM6xqQSCSIjo4GIDOzm5ub830mkUiwbt06Po9R4ZuWC7Na\nEpFIVClr1EuONZ6ennj58iVmzZoFb29vBbPzxzCOcTAMg/Xr18POzg5isRgWFhZo1qyZxuswMjIC\nAHSC6klKecat5e/y7ty5o3LiKT+2ynsAkUfT5LRjx47w8PDAkiVLMG7cODVSlo/+/fvjm2++QX5+\nPv744w/8+OOPfDjb0vI+xuaPauIp/zLp1q0bmjVrhj59+mD16tWYMmVKmdqUj9ksD3dzUlNTtY5t\nza094qKdCFGzZk3Ur19fYZ2SOuTjL7ds2VKwjHz8ZS7EX8lX6xzIvh4XA+iv4ZxiyB7mNgDsIAtR\ntgfAD/g3xF+hirWeqmI7v084refSpUsxd+5cpXwuxvONGzcUXFHUrFmTfzGeOnXqvckLyBb1c7/F\nYcOGvddzlwUuPra63/rHxK1bt/j7w1EM2SYSB1dXbIqORsmVXgzDwL5JEwzt2RPjx49X6TJJhyJu\nbm44cuQIEhISEBsbq/BulkgkmDlzJh4+fAipVIr69etr/X5+33Tt2hVHjx7F5cuX0bNnTz79YxjH\n5Gnbti1at26tpaQyuHFK09SprOMWC5lD+gsXLmDo0KGC5Zs3b46DBw/i+vXrKgNr/PXX/7F35nE1\nZn8c/zy3274gLfZWKoQoS6WEDFnGrrJkiWwZ+1JRTNmXmYxEMbbClJ1kZ3IRg4QaM6mMfcmaVG6d\n3x/Xvb9u97lL6VZy3q/X86p7znnO+T7b+Z7zPcv3FhiGQfPmzaWWGxwcjC5dumDTpk2oVauWHCnL\nR6NGjUS6qWfPnqhbty6mTp0KNzc39O/fX5ROqHeluRLOy8urFN1co+Z4lqYyfTYrwo4dO8AwjNS9\n04T06dMH9+/fF5tAL42y+l+2tLQEwzAoPQPTHMAIAJsAPJVb6v8RzukUniOcxP38OfvMm+ri23n2\n7NnQ1NRknevZpUsXaGtrl+nZKhtvb29kZ2fjwYMH1XY1e0l27twJLpcrNsxWk1myZAmrpczPzw/j\nxo2T+N4AwYrrtH//RXh4OG10lgFhIyApKQk8Hk9sxXq7du2grq6Oc+fOITk5udqtZi+JsHMua54h\n8O3qsa9BqKfS5KQrr94STjWTtRahT58+IIRgx44drPHFxcWIjY1FnTp1ZL5nLi4u6NKlC1asWFGu\n51ce/Pz8YGFhgaAgcV9PQr177949iXM+ffqEhw8fVopurtENT6DyfDbLIzY2Flu2bIGjoyPrEE9J\n5s6dCy0tLfj6+kpMEAcEk7rDw8MBlN3/so6ODqzMzcE2SBsEgbu/lZDciPe8FFmPfflr/eXvXwD0\na9XCtWvXqpVv59LDB0KrZ1xcnMTEcD09PcycORM3btxgtYgCKJPf7IqgefPmWLNmDVauXCma3F9d\nWbx4MZKSkjBq1Cg0bty4qsVROnfu3GGddqGuro4FCxZIfVe+p2kIFYm9vT3U1dURExODJ0+eiFnx\n1NTUYGdnhw0bNiAvL6/CXMAqA6EjBUXmTn+LeuxrEOqpawqkLY/eSvjyV1Zd2qlTJ3Tv3h2///47\njh07JhEfEBCAjIwMzJs3T2ShlUZISAiePn2KzZs3y0xXUaioqGDWrFlIT0/H4cOHReHdunWDqqoq\nNm7cKNFR3rRpE4qKiuDh4SEKu3r1qlLkq1FD7WxUps9mQDBvJi4uDjo6OigsLBR5fODxeLCzs8Mf\nf8j32mxubo7Y2Fh4enrCxsZGzHMRj8dDfHw8xowZI0pfVv/L7h4e2LB+PUqrQ2HvcTskP2B/CIY9\nBkDQyCyEwA/1H1/OGw3BIol4FRX0HzQIJ0+eLJNv58LCQoSFhUmE6+vrl2n+kTTYrFGzZs3Cb7/9\nhtTUVBgYGIjFLVq0CP/88w/CwsKQkJCAAQMGoGHDhnjz5g2uXbuGffv2oUGDBlBVVZXItzR5eXms\n12ZkZITx48crfA1fO1FcUdLT01kVUYMGDcSUTUFBgSjdp0+fkJ2djUOHDiEtLQ29evXCb7/9Viny\nVjWLFy9mfb8mTpyIBg0aSJ3vzOHU+H6/UlBVVYWDgwOSkpKgoaGBdu3aicU7OjpizZo1Uud3loev\nnfdZUte8fv0ahw4dQlJSEry8vNCsWTO553+LekyYj6KUvo4mFhaIycqCb3ExZA3Ul1Vv/QnBIqNa\ntWqJ6VE2duzYge7du6N///7w8vJC586dUVBQgP379+PChQvw9PTE7Nmz5V6bi4sLXF1dceHChUpb\n3zB69GgsWrQIK1asQL9+/QAIvGktWrQICxcuhIuLC/r16wctLS3weDzs2bMHPXv2FNttYOfOnWjf\nvn3FC6eUbemrgOrgs1noFUB4CH3c9uvXj2zfvp0UFhaW6ZoyMjKIn5+fmK92R0dHsn79egl/uWXx\nvyz0CNGWxWNKBkBUv/i0LekB4gQE/tibA0QPAl/tzQAyncVzUevWrcmuXbvI+PHjFfbtLO1ZNG3a\nVCK9r68v0dLSYr1nf//9N+FwOBKeizgcDqvvWqGHICMjI9b89u3bRzw8PIiRkRFRU1Mrs692T09P\nqdfWqlUrQoh0z0UqKirk48ePUvPOz88nHA6HzJ07V+b1l0Se5yJZ30VJrzClr0tXV5dYWlqSYcOG\nkcOHD8u9LzWFW7duifyElzw0NTXJ06dPCSGEbNq0iTVNenp6FUv/7RIQEEA4HA7p3LmzRNyBAwcI\nh8MhtWvXJsXFxRLxsnQFm694RTwXmZuby8yv5KGhoUGaN29Oli9fLlE31yQ9pqiXHlnXgS9+1oV6\nyAwg/b5Sb9WX4rlI2r0X+mq3tbUl2traIl/tO3fuZL0eDodDpk2bJvU6VVRUKtRzkbTyCBF4kSvt\nKZAQgQcqR0dHoqurSzQ1NUnz5s1JaGioxLO9c+eOwnKWBYaQauhmhqJ0evXogfRz53Cbz2f1RlRW\n3gOw5XJhZGsLVQ0NXL58Gfb29ggKCkK/fv2qdBU7haIsBg4ciAMHDkiEz5w5E2vWCNbORkZGslrt\n7927p5C1i0L5XlGWnmru5obj5dwAn/L10LGe7xRlufj7Y98+8Hg8nD59Gtra2ujfvz/s7OwQHx9f\n6fMiKRRlcuPGDdZGp5aWFubOnSv6TYfaKZTyQV3R1kxozfedokwXfwzDoFu3bjh//jwuXLgAQ0ND\nDBkyBK1atcLu3bvl7vFJoXwLhISEsIZPnToVxsbGot/SOlzK8jxFodQUqCvamglteH7H+Pr6IjQ0\nFAsBjIdyXPy5uLjg1KlTuHTpEkxMTODt7Y3mzZtjx44dUvf6pFCqO3/99ZdoVXJJdHR0JDzfUIsn\nhVJ+KkNPUSoXWvN95wQGBiIqKgq7NTTQkstFLAQr/2RRACAWgrkyuzU0EB0djYCAAJnndOrUCceO\nHcO1a9dgY2MDHx8fWFlZITo6GoWF8kqkUKoXwcHBrOH+/v4SOyRIs3jShieFohhiekpFRWl6ilI5\n0JqPAl9fX9xOS0NzNzcMB9CYy8VkAFsBJANI/fJ3K4DJAJpwuRgOoLmbG26npZWpB2lvb4+DBw8i\nJSUFbdu2xYQJE9C0aVNs3LhRaS4gKZSK5MqVK0hISJAI19XVxaxZsyTC6VA7hfL1iPRU164YDqAh\nwyhNT1GUC214UgAI5tIcP3kSd+/exbBJk3De0hK+DIOOAFoD6AjAF8B5S0sMmzQJaWlpOH7yZLnn\nyrRu3RpxcXG4ffs2nJycMHXqVJibmyM8PLzSvDtQKOVB2tzO6dOni/ncFkKH2imUikGop/r27Qt+\nrVqIBiT1FMNUmJ6iKAe6nRJFKrm5ucjIyEBBQQE8PDzg6+uLFStWKKWsf/75B0uXLsWuXbtgYGCA\n2bNnY+LEidDR0VFKeRRKeeDxeKybkteqVQtZWVmoU6eORNyyZctYh/hevHgBQ0NDpchJodRkIiIi\n4O/vDw0NDTx9+hSZmZkoKCiAuro6LC0tqd6o5tAuN0Uq+fn50NLSQqNGjfD69Wt06NBBaWU1a9YM\n27Ztwz///IO+fftiwYIFMDU1xbJly/D+/XullUuhlAVpcztnzJjB2ugE6BxPCqWi6dixI4qLi2Fm\nZgZNTU2YmpqiQ4cOaNOmDW10fgPQmo8ilfj4eFhZWcHS0hIAcPDgQWzZsgUfPpR1XaHimJubIyoq\nChkZGRg6dChCQkJgamqKJUuW4O3bt0orl0KRx59//okzZ85IhNeuXRvTp0+Xeh4daqdQKo7Hjx8j\nIyMDAPDff/+hVq1aWLhwYRVLRSkLtOajSOXmzZsABJZPQOC31dfXt1L24TQxMUFERAQyMzMxatQo\nLFu2DCYmJggKCkJOTo7Sy6dQSiPN2jl79mzUqlVL6nl0cRGFUnGGVqyvAAAgAElEQVS0b98ew4YN\nAwB8+PABnz59wpUrV6pYKkpZoA1PilRSUlIkwkxNTVG7du1Kk6Fhw4b45ZdfkJWVhQkTJmDdunUw\nNTXFvHnz8OLFi0qTg/J9c+7cOZw/f14iXF9fH9OmTZN5LrV4UigVR8eOHSXCUlJS6KLUbwha81FY\n4fP5SE1NlQi3s7OrAmmAevXqYdWqVcjOzoa/vz82btwIU1NTzJw5E0+fPq0SmSjfB4QQLFq0iDVu\nzpw50NWV7UWazvGkUCoOtoYnn8/HjRs3qkAaSnmgNR+FlXv37omG2EvSpk2bKpDm/xgaGmLp0qXI\nzs7GnDlzsHXrVpiZmWHq1Kl4+PBhlcpGqZmcOXMGFy9elAg3MDDA1KlT5Z5Ph9oplIqDreEJgA63\nf0PQhidFgtzcXBw6dIg1rqosnqXR19fH4sWL8eDBAyxcuBC7d++GhYUF/Pz8kJWVVdXiUWoIsqyd\n8+bNU2gFLR1qp1Aqjnbt2rGGJyYmIjk5GSkpKcjNza1kqShlgdZ8FABAWloapk2bBhtLS+jp6SEw\nMFAsXvXLX21t7coXTga1atVCYGAgsrOzERoaigMHDqBp06YYO3asaOUjhVJeTpw4gcuXL0uEGxsb\nY/LkyQrlQS2eFErFoampKfbtCHXT6dOn0bFjR9jZ2UFPTw82lpaYNm0a0tLSqkZQilRow/M7Jysr\nC7169ECLFi2wd+NGuN2/jy2E4AoELsiuQOCCzBeAPoBu3bqhV48e1c6qqKuri7lz5yI7OxurV69G\nYmIirKysMGLECKSnp1e1eJRvEHnWTi0tLYXykdbwZBim3LJRKN8rPB4P5Msogj4EumkrIKazthAC\nt/v3sXfjRrRo0aJa6qzvGkL5bomKiiLaGhrEhMslMQApAAiRcRQAJAYgTbhcoq2hQaKioqr6EqTy\n6dMn8ttvv5FGjRoRhmHI0KFDSWpqalWLRfmGOHr0KAEgcdSrV4/k5eUpnM+0adMk8mAYRomSUyg1\nk6ioKKKppkYaftFFNUlnfU9Qi+d3SlhYGMaPHw+v/Hzc5vPhDUBNzjlqALwB3OHz4ZWfj/HjxyMs\nLEz5wpYDDQ0NTJkyBRkZGYiMjMTVq1fRqlUrDBw4ULQ/KYUiDSLD2hkQEABNTU2F82KzeNJhdgql\nbAh1lndhIdKBGqezviuquuVLqXyioqIIAPKznN6ivGPJF+tNdHR0VV+SXAoLC8nvv/9OLC0tCQDS\nu3dvcuXKlaoWi1JNOXjwIKu1s2HDhuTTp09lymvSpEkS+aipqSlJcgql5vE96qyaTI1oeHI4HLJ3\n716J8KKiIlK/fn3CMAxJTExkPTckJIQwDCM6tLS0SJMmTUjfvn3J77//TgoKChSSYdu2bYRhGHL9\n+nXWeFdXV2JraysR/vnzZ/Lrr78SBwcHoqurS3R0dIiDgwMJDw8nnz9/liqntMPNzY0QQoiPj4/U\nNACI75cP8TxAGIDsK8dHXPwlH3VVVeLq6koMDAyImpoaadCgARk6dCg5e/asxPX+999/xM/Pj5ia\nmhJ1dXViZGRE+vfvT3g8nkTa8+fPi2SOiYlhva+Ojo6EYRiJe2tiYiJ2zUZGRqRz584kPj6e7Nq1\ni1hbWxMApEePHiQpKYkQQoidnR1hGEZqpRQdHU0YhiHa2trk+fPnEvFOTk7Ezs6OEEJIUlIS4XA4\nZNGiRax5hYaGEoZhyMmTJ1njCSEkMDCQMAxD3r17JzXN6dOnCcMw5NChQxJyMgxDkpOTJc4pLi4W\nfRcDBgwQhfP5fMIwDJkxYwYhhBBnZ2eF3rmwsDBCCCENGzaUmqZv376icoKCgli/uX79+pHt27eT\nwsJCqddbGRQVFZHWrVuzNjw3bNhQ5vz8/Pwk8tHQ0FCC5N8Pf/zxB2EYhhw8eFAirlWrVoRhGHL+\n/HmJuMaNGxMnJyfRbxMTE7F3syTC+mffvn2isJL1fHZ2tkLfB4fDIQ8ePBCrz4SHvr4+6dixI2v9\nVroO09bWJu3btyc7duyQKqu08quLftTU1CRPnjyRiJelHxctWkQ4DENUAaIDEAeAhAPkM4tOMvmi\nz9yl6KxNJb7Bw4cPi8oJDg4mDMOQnJwcUZhQh7Zu3Zr1mhiGIf7+/qLf8t6HFStWiF2vtHQ2NjZi\n5aSmppJBgwYRExMToqGhQRo2bEjc3d3J+vXr5d53Hx8foqOjIzMNW9tF+Nw5HI7cMsoDt3Lsqspl\n586d6NSpk0T42bNn8ezZM5iZmSEmJgY//PAD6/kMwyAyMhLa2tooKCjA48ePceLECYwdOxa//PIL\njh07hoYNG8qVQ9ZiAba4vLw8eHh4ICkpCX369MGYMWPA4XCQmJiIn376Cfv370dCQgI0NTUxaNAg\nNG3aVHRubm4uJk6ciIEDB2LgwIGicGNjY1F5Ghoa2LJlCwghovgVy5bhSVoa1pYY/ivvEgcGwCcA\nBZ8/4+aNG1gQEIB69erh6dOnOHDgALp37w4ejyfad43H48HDwwMcDgfjx4+HjY0Nnj17hm3btqFz\n584IDw/HlClTJMrR1NREbGwsvL29xcIfPHiAy5cvsw57MgwDOzs7zJ49G4QQPHnyBJs2bcKQIUMQ\nGRmJO3fuYN++fQgNDUXnzp3Rvn17pKSkiN6VcePGSb3uT58+YcWKFVizZo1EmUKcnZ0xbtw4rFy5\nEsOHD0ezZs1EcZmZmVi6dCmGDx8Od3d36feXYRRagCItjfC+tW/fXixc+F1oaGjIzDc4OFjMO9SV\nK1ewYcMGLFq0SOxdFO7tyjAM7O3tWf2WN2rUSELmzZs3Q1NTEwUFBXj06BESExMxevRo0TdXv359\n2ReuJHg8Hm7duiUR3rhxY5nvhTToUHvF4+zsDAC4ePEifvzxR1H4hw8fcPfuXaiqqoLH48HV1VUU\n9+jRIzx69AjDhw8Xhcn7vtjihWGGhobYtWuXWNzq1avx+PFj/PLLL2L1rqGhoWhxy/Tp02Fvbw8A\nyMnJwd69ezFixAi8e/cOkyZNEiunZB329OlTREdHw8fHB4WFhazvYsm8S1Id9CMAFBQUYPny5fj1\n118lyiiNUD9euHABmgyDMABaABIB/ATgAIBjAErW/syX3+cAvABgVCrP3V/yyAOwLCwMffv2FZVf\nWgbh79u3b+PAgQMYMGCAQtfo7e0NDw8PifCSWxEyDIPGjRtj+fLlYu8JADH3u5cuXULXrl1hYmKC\nCRMmoF69enj48CGuXLmC8PBwufsIf60Okacjyo1SmrPVBB8fH2Jvb0/Wr19PdHV1WRcEhISEEA6H\nI9bTERIbG0tUVFRIp06d5Ja1bds2wuFwpFo8u3TpItGjmzBhAuFwOCQiIkIifUREBGEYhkyePJk1\nv1evXhGGYcjixYtZ40ePHk10dXXFwu7evUvwZbK1sAd4/issnqu+nOvxpQeZlpYmVt6uXbvItWvX\nCCGEvHnzhtSrV4/Ur1+fZGVliaXLz88nLi4uhMvlksuXL4vChb34wYMHEzU1NYlntHTpUlK/fn3i\n4uIicW9NTU0lLBnPnj0jOjo6xNraWhRWVFRE9u/fT4yNjQkAYmVlRTgcDnn48KHEPRVaEtu2bUu0\ntbXJixcvxOKdnZ1FFk/hNRsbG4us0EJ69epF6tatK3F+aYKCggiHwym3xXPw4MGkfv36pLi4WOyc\nsWPHkk6dOpHGjRvLtHiWZs+ePYTD4bBapwkhpFGjRmL5lee6du7cSTgcDnF2dpabjzK5dOkSsbCw\nELNSbtq0qVx5jR07VsLiWfrbpJQdc3Nz0rFjR7GwEydOEA6HQ4YPH0569eolFrd7927C4XDIkSNH\nRGFs9YQQaRZPWfV8nz59iJmZmcL5ESKYBtSoUSOJd55NtpcvXxJdXV3SokULhfKWRWXrR2Hdqamp\nSZ4+fSoWL0s/ltZZBCARX3TP5FLhpl+snbW/WEVLxj0CiApAhnw5t6TOYrvO0aNHEy0tLWJtbU3a\ntGkjcU3SLJ5r1qyRez/YrpcNDw8PYmxsTN6/fy8R9/LlS7nns7UDSsP2Tgvvx+DBg+WWUR5q7OKi\n/Px8HDhwAF5eXhgyZAjy8vKkboouDS8vL/j6+iI5ORlnzpypUPkeP36MrVu3olu3bmK9XCGTJk2C\nm5sboqOj8eTJkwopMzIyEkZcLgZXQF75AJYDaA5gHwAjLhcbN24USzN8+HBR7zsyMhIvXrzA6tWr\nYWpqKpZOXV0d27dvBwAsWbJELI5hGPz4449QV1dHXFycWFxsbCyGDh2q8EbcxsbGsLGxEdtWg8Ph\nYMCAAdDS0sKPP/4IXV1dFBcXw9HREUePHpXojTIMg8DAQBQUFGDFihUyy6tduzZ++eUXnD9/XnR9\ncXFxSExMxKpVq2BoaKiQ3OWBYRh4e3vj2bNnOHv2rCi8oKAA+/fvh7e3t8S1VQdGjBiBMWPG4NKl\nS7hw4UKVyWFjY4NXr15hyJAhcHNzg6mpKUaPHl2uvKjFUzk4Ozvj5s2bKCgoEIXxeDy0bNkSvXr1\nkvBkc/HiRTAMAycnp8oWVSaqqqqoU6cOuFz5A5AGBgawtrbG/fv3v6rMqtCPDMMgICAAfD4fy5cv\nl5lWqB8bNmzIqrMmAXADEA2gtHbUADAQQGyp8FgItl/6AQLLaB0VFQmdVRoVFRUEBQXh1q1bOHjw\noMy0yiAzMxMtWrRgdctrYGCg9PJLjzJWFDWi4ZmTkyMRdujQIXz8+BGenp4wNjZGly5dEBMTU+a8\nR44cCUIITp48qVD6d+/eIScnR+x49eoVPn/+LJbu+PHjKC4uxsiRI6XmNWrUKPD5fCQmJpZZbiEl\n5Ug8cgS9+XwUyD9NLhcBvIZgxaAGgEF8Pk4fPy41/dGjR6GhoYEhQ4awxpuamsLZ2Rlnz54VUyQA\noKWlhX79+mH37t2isFu3biEtLa1MHwafz8fDhw9Rt25dsXAej4fs7GwEBgbi6tWrcHd3x+vXr9G3\nb1+0a9cOBw4cEGs8WFpaYvjw4YiMjMTLly9llunp6YkffvgBc+bMQVZWFqZPnw5XV1eMGTNGYbnL\ni4WFBdq3by92344ePYqPHz9i2LBhSimzsLBQ4v3Pyclhdb8qjbJ+c8pg3bp1KCwsRHh4OM6ePYur\nV69CTU3eGlp22Bqe1GvR1+Ps7IzPnz8jOTlZFMbj8eDo6IhOnTrh7du3uHPnjiju0qVLsLa2Rp06\ndcTy+fz5M+s7+/btW6XI/eHDB1EZ//77L0JCQnD37l2FOjZFRUV49OiRxDWw5V3yKE1V6UczMzOM\nGjUKUVFRePbsmdR0Qv3ILyjAID6fdfX6KAB8CIbeS+MFIBlAVomw3QAGAxA277sVFcnUWUK8vb3R\ntGlTCaOINPLy8lifQWkPZkVFRazp8vLyRGlMTExw/fp13L17V6GyKxoXFxel5Fsjaj8jIyOxuWgA\nEBMTA0dHRzRo0ACAoAFw8uRJ1o9QFi1btgQAhXqYhBB069YNhoaGYoeRkREuXbokllboTaF169ZS\n82vdujUIIeXeAD03N1dMjn+zs7ENQEU0OdIh6DW2/PLbHsDf9+9LdVWWlpYGKysrqKqqssYDguv9\n/PmzmMchoVXO29sbSUlJePz4MQDB8zU3N5eYv1iSkgolNTUVI0eOxIsXLzB06FCxdLt27YKZmRkc\nHBzAMAxmzpyJT58+4ffff0ft2rUxcOBAtGnTBteuXROdExQUhIKCAqxcuVL6TfrCxo0bkZeXBwcH\nB7x+/RqbNm2Se05F4e3tjf3794s6PrGxsaJ3VBkcP36c9f2PiIhQOI+yfHPK4PXr11i3bh2mTJmC\nevXqAcBX3a9hw4ZhxYoVcHJygqGhIZYsWYJ58+ZVlLjfLc7OziCE4OLFiwAEijw5ORnOzs4wNzeH\nsbGxKC43Nxe3b98WzQ0tyYkTJyTeWUNDQwwYMEApm/yPHTtWVIaVlRXCwsIQFhYGHx8fibQl67C7\nd+9izJgxeP78udQOfMm8S35/1UE/CgkMDMTnz59ljhgJ9ePTFy/gICVNawjGy9m0Y1cA9SBobOJL\nmhQIDCVCmkO2zhLCMIzI6qmIVTg4OJj1GVy/fl0sXXp6Omu62bNni9LMnj0beXl5aNOmDZycnDB/\n/nycOnUKfD5frhwVgTLef+D/jf9vmlOnTkFfX1/0+/Xr1zhx4oTYBOZBgwZhypQp+OOPP1iHtqUh\n9MX84cMHuWkZhkFERITYwgshM2fOFLN8CPNjM6ELEca9f/9eYXlLoqmpKRouzsjIgJ+fH9YD6Fyu\n3MQRSiSUvgUgKke42KQkHz58kHmtgOzr7dGjB/T19bFnzx7MmjULe/fulWshECoUIVwuF6NGjRIb\n5uHz+YiPj4efn58ozN3dHXXr1sW///6Ls2fPgsfj4eeffxY1GI8dO4Y5c+bA29sbkZGRmDt3rsyG\niampKYKCghAYGIigoCCxhUbKZtiwYZg1axYSEhLg5uaGhIQEbN68WWnlOTo6YsmSJRLD+GW55rJ8\nc8pgzZo1KCoqwpw5cyokPw8PD3h4eODJkyd49+4dFi5cWCH5fu/Y2Nigbt26osZlSkoK8vLy4Ojo\nCEDwLvJ4PEycOBGXLl1CUVERa8OzY8eOCAsLk3hnU1JSKuwdKElwcLBIjtevX+Pw4cMICAiAtrY2\n/P39xdKWrsMAQeNSWoe3ZN4lqQ76UYiZmRlGjhyJzZs3Y/78+aIFsSUpmV9zKfkItQmbduQAGApB\nwzMAQAyAJgCcAQibyOb4v86Sx/DhwxEaGoolS5aILWZjY8KECawdg+bNxa/EzMwM0dHREu9dyYWY\n3bt3x+XLl7Fs2TKcOHECV65cwcqVK2FoaIjo6GjR4qhvjRrR8OzatavY7z179oDP56NNmzainhgh\nBB06dEBMTEyZPixhb0heo0mIg4MD2rZtKxFep04dsd6kMD9ZH6wijVNZqKiowM3NDcD/fay7ALAt\nV27i6H35K5ReuLKw9DC5EF1dXbmVk6zr5XK5GDJkCGJjY+Hg4ICHDx/KHWYXKhRAMFxvY2MDPT09\nsTQJCQnIycmBg4OD2LvSpUsXxMbGIiwsDE5OTkhMTERQUBDCwsIQEBCArVu3Yty4ccjPz8fKlSux\natUqmbI4ODiAEIJ27drJTFfRGBsbw83NDbGxscjJyQGHwxHbBaGiMTQ0FL1z5aWs31xF8urVK4SH\nh8Pf3x9GRqXXxH4dRUVFdIi9gnF0dERSUhIAwTC7kZERzMzMRHEbNmwQxTEMw9ooMzAwYH1nVVRU\nlDIPumXLlmI6a/DgwXj79i3mz58Pb29vsalAwjqMz+fjzp07CA0NxZs3b6RO+yidNxtVqR+FBAUF\nYefOnVi+fDnWrVsnEV8yP2mOaYXaRFrJ3gDWQ+BGczcEw+8lEa7XlqazSsLhcBAUFAQfHx8cOnRI\nZuOzadOmcp8BINDJitSV7dq1Q3x8PPh8Pm7duoUDBw5g3bp1GDJkCFJSUmBtbS03j+pGjawFY2MF\n04odHR3RtGlTNG3aFM2aNQOPx8Ply5eRnZ2tcF7COUKWlpYVKqONjQ0IIUhNTZWaRrilS+meUnlQ\nV1cHINhGoiKwhmCY4/aX359KlVMaGxsb3Lt3T2Kua0lu3boFVVVVVosxIBg2vnnzJkJCQtCmTRtY\nWVnJlFGoUNzc3NChQweJRicgeFcYhsGAAQPE3pV9+/bhv//+A4/HE6U1MzMDh8PBnj17YGtriwUL\nFkBdXR3r16/Ho0ePZMpSlXh7e+PIkSOIiopC7969RZ2Q6oqyvjlFWL16NQCIDXdVFMXFxbThWcE4\nOzvj3bt3uH37Ni5duiSydgKC+v/Bgwd4+vQpeDweGjRoILGwsbrQrVs35Ofn4+rVq2LhwjrM3d0d\nM2bMwM6dO3HgwAGJ7YjKQnXQj2ZmZhgxYgQ2b97MOtdTqB8B6TpLuOGZNO3YHgKr5nQA2ZBseApn\nnUvTWaUZPnw4LC0tFZ7rWdFwuVy0a9cOoaGhiIiIQGFhocSC22+FGlcLZmdn49KlS/D390d8fLzY\nsXfvXqiqqoo+PEXYsWMHGIaRusdZeenVqxdUVFSwc+dOmWWrqqqiZ8+eX12epaUlGIZB2lfnJMAZ\nQB0IepIEwF0IphpIq4D69OmD/Px8qR9KdnY2Ll68iG7dukmtCJydndGkSRNcuHBBbC++8pKbm4sj\nR47A29tb4l2Ji4uDoaEh64R7Gxsb7N+/H6mpqXBxcUFBQQFsbGzw5MmTarlSXGjhvHr1qtJWKVYk\nyvrm5PHixQusX78eP/30k1JWjBYXF9PV7BWM0IKZlJQEHo8ntmK9Xbt2UFdXx7lz55CcnFztVrOX\nRDhnT958Qw8PD7i6umLp0qX49OmTzLRsVCf9GBQUJHWup1A/ApCqs3YAUAUgSzt6ATgPQeO0Vam4\nTMjWWaURWj1TUlLKvANARSPcLebp06dVKkd5qXENz127doFhGMyZM0e0ubrwGDx4MFxdXRVevRcb\nG4stW7bA0dHxq4cPS9OoUSOMGTMGp0+fRmRkpER8ZGQkzp07B19fX9EE8K9BR0cHVubmuCY/qUJo\nApgHQaUwF8BfAKwtLERzfgDBBPa//voLAODn5wdDQ0PR6u6SFBQUiFZ5S/OPLWT9+vUIDg7GiBEj\nvvoa4uPjkZ+fD39/f4l3ZeDAgejduzfi4uIkViMKsbW1RUJCAvr164f8/HxkZmbizp07WLdundjK\nRCHKmqgtL189PT1s3LgRISEh6N27t1JkqCh27NghcijQuXNFzEZWnJUrV4LL5WLmzJlKyZ8OtVc8\n9vb2UFdXR0xMDJ48eSJm8VRTU4OdnR02bNiAvLw81mH26sKRI0cAyF5sKmTevHl49eoVoqKiylxO\nddKP5ubmGDFiBDZt2iRh9RTqRwDYxnJuJASbxPsCkKUdfQGEAFjNEpcGSZ0ljxEjRsDCwgKLFy9W\nWn1ekvPnz7OGHzt2DAC+yWF2oIbM8YyJiUGrVq1ga2uLmJgYtGnTRqonhX79+sHf3x8pKSmiRTCE\nEMTFxUFHRweFhYUizww8Hg92dnb4448/FJKjrNaudevW4d69e5gyZQoSExNFls3ExEQcPnwYbm5u\noqG/8sDn88UqkSYWFojJykKH4mIMhbjHh3iwrw4cDUCaT4o5EHy8ayHowTgYGmLbtm149uwZDh48\niGvXrolW8+vr6yM+Ph59+vRB27Zt4evri+bNm+Pp06fYvn077t+/j/DwcHTo0EHmNfXt27fCJlTH\nxMTAyMhI6sr4fv364ffff8fx48fRp08fAOzPeNWqVUhISADDMNDT08PcuXOxbNkyzJ49G5MmTRLN\nVyqPNZQQglWrVkl4kOByuaKV0Wz5lg5jWzFbHuRdw6NHj1gVl66uLvr16yeWz969e6GlpYXCwkKR\n56LLly+jXbt22Lt3b4XIqyjPnj1DREQE5syZI7YQoyKhFs+KR1VVFQ4ODkhKSoKGhobEHGpHR0es\nWbNG6vzO8vC1oxp//vmnyFr5+vVrHDp0CElJSfDy8lJoEV7Pnj3RsmVLrF27FlOmTBF7p0rmXZLq\nqh8DAwOxc+dO3Lt3T7RCXsi6detw7Ngx/PnkCfoBEPoCSgRwGIJ9POVpxyYA2EwZBMAZFRWM6NVL\nIdmFcDgcBAYGYsyYMVIbntevX2etAy0sLERe/ADB1ovSGvnCET1/f3/k5eVhwIABsLa2RmFhIXg8\nHv744w+Ym5srtAVXYWGhaK1DSfT19UXzeSt7pK5GNDxHjRqF4OBg8Pl8/PPPPzKtZn379sW0adOw\na9cuMVd/kydPBiBwEWVgYIA2bdpg27Zt8PLykrkFUEnK6n5NW1sbZ86cQUREBHbt2oW5c+eCEAJr\na2uEh4dj0qRJMhWVPHdYBQUFGDVqlFhYcXExxkDw0TYR5gNAmpp3g/SGJwNBb7QOgF8A/P333/Dz\n84OBgQGcnJywcuVKsYaks7MzUlNTsXTpUsTHx+Pp06eoVasWnJycsG3bNla3bor2Ktncnck699mz\nZzh//rzMD9fd3R2ampqIiYkRNTzZ8mzWrBk8PT0RGxsLU1NTxMfHY/ny5QgKCsKKFSswc+ZM2Nra\nlquHzDAMli5dKhGuoaEhanjKcusnL++y3jd5+V6/fl3inQMElW7JhifDMJg4cSKA/39zdnZ22LFj\nBzw9PRXaTLsiWbFiBdTU1DBjxgyllUHneCoHZ2dnXLx4Efb29hJ1tZOTE9auXQs9PT1Wa2J53vfy\nuNksGbd+/XrRbzU1NZibm2Pp0qUS84plyTZ79myMGTMGMTExou+tdN4lqa760cLCAiNHjsT27dtZ\n9ePx48fRunVr3IVgyJxAsL4gHIJN5EtrRwaKu4B+U1QkdyEVm8wjRoxAWFgY7t+/z1p/7tmzB3v2\n7JE4z8fHR6zh+ejRI9a6Evh/w3PNmjWIi4vD8ePHERUVhcLCQjRp0gRTp05FYGAg67qF0nz+/Jn1\nmVtaWoquvzKstyVhSHWclEZRGr169ED6uXO4zedLXQ1YFt4DsOVy0dzNDcercMPv6sjDhw+xcuVK\nREVFQVNTE9OmTcNPP/2kNIsapXw8efIE5ubmCAgIkDvV42vw8fFBZmamaBU2hUKRT68ePZB29izu\nFBVRnVVDoN3v74yITZvwistFRcxiIwBmAcjhchFRiZuifys0btwY69evR1ZWFsaMGYNVq1bB1NQU\nAQEBePXqVVWLR/nCsmXLoKWlhZ9++kmp5dChdgql7ERs2oTnDIOKGIugOqt6QBue3xlmZmb4Zf16\nRAMI/Yp8yJfzowH8+ttvor3zKJLUr18fa9euRXZ2NiZNmoTw8HCYmJhgzpw5Mt3GUZTPo0ePsHnz\nZsyePRu1atVSall0cRGFUnbMzMzQ1sEBW0B1Vk2B1oLfIb6+vggNDcVCAOPx/414FeU9gAkQTNoO\nCwvDuHHjKlrEGomRkRFWrFiB7OxszJgxA5s3b4aZmRl++rWBi9YAACAASURBVOknkStQSuWydOlS\n6OrqSniMUQZ0jieFUj4+fvwIe3t7qrNqCLQW/E4JDAxEVFQUdmtooCWXi1gAhXLOKQAQC8H8mN0a\nGoiOjkZAQIDyha1hGBgYIDQ0FA8ePMCCBQuwc+dOmJubY/LkyXjw4EFVi/fd8ODBA0RHR2POnDmV\n4iWJDrVTKGWnsLAQ6enpGDNmDNVZNQS6uOg7JysrC5P9/JB46hSMuFwM4vNhD4HvdU0IPBLdhWCf\nzn1cLl7w+ejp7o6ITZvoUEUF8f79e2zYsAFr167F27dv4ePjgwULFsDCwqKqRavR+Pn54cCBA8jM\nzCzTXn7lZdCgQcjLy8Px48eVXhaFUlO4desW2rRpg4sXL8LJyYnqrBoAbXhSAABpaWmIjIzE6ePH\n8ff9+2L7ejEMA2sLC3Tv1QuTJk2CjY1NFUpac/n48SMiIyOxatUqvHr1CsOHD0dgYKBCe/tRykZW\nVhaaNWuG5cuXY9asWZVS5oABA/D582ccPXq0UsqjUGoC27dvx+jRo/H+/XuxkQmqs75daMOTIkFu\nbi4yMjJQUFAAdXV1WFpaVopFiCLg06dPiIqKwooVK/Ds2TMMGzYMgYGBaNGiRVWLVmMYN24cjh07\nhszMTGhpaVVKmT/++CMIITh8+HCllEeh1ARmzpyJw4cPIyMjQ2oaqrO+LWjDk0KppuTn5+P333/H\n8uXL8fDhQwwaNAhBQUEKudWjSCcjIwPW1tZYvXo1pk+fXmnl9unTB1wuFwcPHqy0MimUb51u3bqh\ndu3a2LdvX1WLQqkg6OIiCqWaoqGhgUmTJuHff/9FVFQUbty4gTZt2uDHH3/EX3/9VdXifbOEhobC\nyMgIfn5+lVouXVxEoZQNQghSUlJoZ7uGQRueFEo1R01NDePGjcO9e/ewfft2/P3333BwcICHhwcu\nX75c1eJ9U/zzzz/YuXMnAgICoKmpWall0308KZSy8fjxY7x+/VrkvpNSM6C1IIXyjcDlcjFq1Cik\npaUhNjYWDx48gKOjI9zd3fHnn39WtXjfBEuWLEGDBg3g6+tb6WXTfTwplLJx69YtAKAWzxoGrQUp\nlG8MFRUVeHl54fbt24iLi8PLly/h6uoKV1dXnDlzBnTaNjvp6emIjY1FQEAANDQ0Kr18OtROoZSN\nlJQU1K5dG02aNKlqUSgVCG14UijfKBwOB4MHD8bNmzdx6NAh5OXloXv37nBycsLx48dpA7QUS5Ys\nQePGjTF27NgqKZ8OtVMoZePWrVto3bo1GIapalEoFQitBSmUbxyGYdCvXz9cvXoVCQkJAAAPDw+0\nb98ehw8fpg1QAHfu3MHevXsRFBQEdXX1KpGBWjwplLIhbHhSaha04Umh1BAYhkGvXr3A4/Fw+vRp\naGlp4ccff0Tbtm2xb98+FBcXV7WIVcbixYthYmKC0aNHV5kMdI4nhaI4Hz9+xL///ksbnjUQWgtS\nKDUMhmHQrVs3XLhwARcuXICBgQEGDx6MVq1aYc+ePSgqKqpqESuVW7duIT4+HgsXLoSqqmqVyUGH\n2ikU+SQnJ2Pt2rXYunUrCCF0RXsNhNaCFEoNxsXFBadOncKlS5fQpEkTeHl5oUWLFtixYwf4fH5V\ni1cpLF68GBYWFhg5cmSVykGH2ikU+Rw6dAizZs3CtGnTAAgcL/Tu3Rvv37+vYskoFQVteFIo3wGd\nOnVCQkICrl27BisrK/j4+MDKygpbtmxBYWFhVYunNG7cuIEDBw5g0aJFVWrtBKjFk0JRBOEWSkKe\nPn2Kixcvivlpp3zb0FqQQvmOsLe3x6FDh3Dz5k3Y2dnB19cXTZs2xcaNG1FQUFDV4lU4ISEhaNq0\nKby9vataFDrHk0JRgNINTwB0ZXsNg9aCFMp3SJs2bRAfH487d+7AyckJU6ZMgYWFBcLDw/Hp06eq\nFq9C+Ouvv3DkyBEEBweDy+VWtTh0qJ1CkcOrV6/w+PFjiXC6wKhmQRueFMp3TIsWLRAbG4v09HR0\n69YNM2fOhJmZGdasWYOPHz9WtXhfRXBwMKytreHp6VnVogCgQ+0UijzYrJ0AbXjWNGgtSKFQYGVl\nhe3bt+PevXvo06cP5s+fD1NTUyxfvhwfPnyoavHKzJUrV5CQkICQkJBqY2WkFk8KRTq5ubmifYhL\nQ1e21yxow5NCoYiwsLBAdHQ0MjIyMGTIEAQHB8PExARLlizB27dvq1o8hQkODkaLFi0wZMiQqhZF\nBJ3jSaGIk5aWhmnTpsHG0hJ6enpYu3atWLxwOSD9bmoW9GlSKBQJTExMEBERgczMTIwcORLLli2D\niYkJFi5ciJycnKoWTyY8Hg8nT55ESEhItVJYdKidQhGQlZWFXj16oEWLFti7cSPc7t/HFkJwBUAq\ngCsAtgLwBVAXQLt27dCrRw9kZWVVpdiUCoIh1J8ehUKRw7Nnz7BmzRpERESAw+FgypQpmDlzJoyM\njKpaNAm6d++Oly9f4ubNm9WqoWdpaYkhQ4Zg2bJlVS0KhVJlREdHY7q/Pwz4fCzl8zEYgJqM9IUA\n4gEs4HKRw+Xil/Xr4evrWznCUpRC9amVKRRKtaVevXpYtWoVsrOz4e/vjw0bNsDU1BQzZ87E06dP\nxdK+ffu2ylbGX7hwAWfOnKl21k6AWjwplLCwMIwfPx5e+fm4zefDG7IbnfgS7w3gDp8Pr/x8jB8/\nHmFhYcoXlqI0aC1IoVAUxtDQEEuXLsWDBw8wZ84cbN26FWZmZvD398fDhw8BAAsXLoS5uTnWrl1b\n6Svjg4ODYWdnh/79+1dquYpA53hSvmeio6MRFBSEnwFEASjrdvC6X85bAiAoKAhbtmypaBEplQWh\nUCiUcvL27Vvy888/E319faKqqkpGjBhB1NTUCAACgBgYGJBly5aR9+/fK12Ws2fPEgDk8OHDSi+r\nPDRq1IgEBwdXtRiUKmDbtm2EYRjCMAzh8XisaRo1akQYhiF9+/YVC2cYhvj7+4t+Z2dnE4ZhyJo1\na1jzmT9/vqgsWUevXr3Ezjtw4ABxd3cn+vr6RENDg1hbW5P58+eTN2/eSJQxbNgwwjAM6dChg0Rc\nfn4+YRiGzJkzRxSWmZlJtDU0iC9AyJcjFyDhAOkGkHoA0QNIO4BEAaS4RLrSRzFAfAGipa4uUQ4b\nHTp0IA4ODmJhxsbGrPdaSHh4uOg+3b17VxQ+b948wjAM+fjxI0lMTFToPmtqahJCCImMjJSahsPh\nkFu3bondP+HB5XJJ3bp1iYODA5k5cya5d++ezOv9Fqj6XZUpFMo3S61atRAUFISffvoJGzduREhI\niJgLzlevXmHBggVYtWoVpk+fDn9/f9SuXbvC5SCEYNGiRbC3t0efPn0qPP+KgA61UzQ1NREbGwtH\nR0ex8AsXLuDx48fQ0ND46jK8vLxga2sr+v3mzRv4+/vD09NT7Nto0KCB6P+pU6ciIiIC7dq1Q2Bg\nIGrXro1r165h7dq12LNnD86dOwdTU1NReqEXoWvXruH48ePo1auXTJkm+/nBgM9HyTXrfwOYAaAH\ngLkAtAEkAJgA4DqAjVLyYgCsAXCCz8dDBZaosHk8YhgGmpqaOHnyJN68eYM6deqIxcfGxkJTUxP5\n+fkS5wnza926NXbt2iUWP2vWLNSrVw9z584F+SJbSecVDMNg+fLlaNiwoYRMJiYmYr979+4NLy8v\nEELw9u1bpKSkYMuWLfjtt9+wbt06TJ48We61V1uquOFLoVBqCM+fPyeampoiayfboaenR4KCgsir\nV68qtOyTJ08SAOTYsWMVmm9FYmxsTEJDQ6taDEoVILR4Dh48mBgZGZGioiKx+AkTJhAHBwdiZmb2\n1RbP0jx69IgwDENWrFjBGr9161bCMAwZM2aMRNylS5eIpqYmsbe3Fwv39PQkderUIebm5hJWz9IW\nz7t37xIAJKaU5fI5QO6xWDS9AaICkEcyrJ4EINu+1Cljx46Vef0dO3aUsHjWq1ePeHh4EB0dHbJ5\n82axuPv37xOGYciQIUMIh8MRs3jOnz+fcDgc8vHjR9ayLC0tJSzJQiIjIyXyY4PNYizk5cuXxMHB\ngaioqJCzZ8/KzKc6Q7vfFAqlQtizZ4/cRUXv379HaGgoTE1NMX/+fLx48eKryyWEIDg4GB06dJBr\nealK6BzP7xuGYeDl5YWcnBycOnVKFP7582fEx8fD29tbZCWrLAgh+Pnnn2FsbIwNGzZIxHfq1Akz\nZszAjRs3cPjwYbE4LpeLgIAAXL16FYmJiVLLiIyMhBGXi8Glwo0ANGNJPwCCFuXfcmQf8OVvSkqK\nnJTsaGtro1+/foiNjRULj4mJQf369eHm5laufJWJgYEBdu/eDQBYunRpFUtTfmgtSKFQKgR/f3+c\nPHkSzs7OctPm5uZixYoVMDU1xaxZsyRWxpeFEydO4PLly1iyZAnrsFp1gQ61U0xNTdGxY0dR4wEA\nEhIS8P79+ypx7Xr37l1kZ2dj0KBB0NTUZE0zatQoEEJw9OhRibjRo0fDxMQEixcvllrGqYQEDOLz\n5a5eFyKsCQzkpFP/8jc7M1PBnCXx8vLCn3/+iSdPnojCdu/ejWHDhintW3379i1ycnLEjjdv3ih8\nvoWFBTp16oSkpCQUFBQoRUZlQ2tBCoVSITAMA3d3d/z55584d+6cQhaDT58+Ye3atTAzM8O0adPw\n6NGjMpVJvsztdHJygru7e3lFrxSoy0wKAHh7e+PgwYOiRkNsbCxcXV1Rr169SpclLS0NANCqVSup\naaysrKCuro709HSJOBUVFZHV88SJExLxHz58wL3MTDgoKE8BgHAA1gAU8c7OAHj99i1yc3MVLEGc\nnj17ok6dOtizZw8A4MaNG7h37x68vb3LlZ88CCFwdnaGoaGh2GFhYVGmfFq2bInPnz+LdhL51qAN\nT0qlk5ubi5SUFCQnJyMlJaXclQalesIwDLp06YKzZ8/i4sWL+OGHH+SeU1BQgPXr18PCwgITJ05E\ndna2QmUdO3YM165dw+LFi6u1tROgFk+KgKFDhyIvLw9Hjx5Fbm4ujh49iuHDh1eJLB8+fADDMNDV\nlb25kY6ODt6/f88aN2bMGDRp0oTV6nn//n0QQtBcQXkmAMgCIDnoL5uMjIwyniGAy+Vi8ODBIgt0\nbGwsLC0tYW9vX6785MEwDLZs2YLTp0+LHYcOHSpTPjo6OgAEz+9bhNaClEqhtE9eOzs7dOzYEXZ2\ndtDT04ONpSWmTZsm6oFTagZOTk5ITExEcnKyQqvNCwsLsWnTJjRt2hTjxo2TqVCEcztdXFzQtWvX\nihRbKdA5nhRAME+ve/fuiI2Nxf79+1FcXIzBg0vPgKwcdHV1QQiR24DJzc2V2jgVzvVMTk6WsHoK\nrbpaCsjyM4BdAFYB6KJAerZyyoO3tzdu3LiBv//+G3v37lWatVNIhw4d0LVrV7Gjc+fOZcpDaKyR\n12GortBakKJUFPHJu4UQuN2/j70bN6JFixbUJ28NpH379jhy5AiuX7+OAQMGyE3P5/OxdetWWFlZ\nYdSoUfj7b8mlBocPH8aNGzeq/dxOIXSonSLE29sbCQkJiIyMRK9evaqsAWFjYwMASE1NlZrmn3/+\nQUFBAZo3l263HDNmDBo3bixh9VRXF8zEzJMjxyYAwRBsrzRDAblLIyynPLi4uKBhw4aYPHkynjx5\nAi8vr3LnVVncuXMHampqaNKkSVWLUi5ow5OiNKKjo2HbvDnSz51DDICHfD4iAIwB0AGA7Ze/YwBE\nfImPAZB27hxsmzdHdHR0lclOUQ5t27bF/v37kZqaimHDhsltMBYXF2Pnzp1o3rw5PD09cefOHVF4\ncHAwunbtCldX18oQ/auhQ+0UIQMGDACHw0FycrLSLWyyaNmyJUxMTLBv3z6JPSuFbN++HQzDoG/f\nvlLzKWn1LLnC3dLSEgzDQNY4VhyAKQBGAFhdrqsQlPM1eHp64vz582jbti2aNWNba199yMjIwOXL\nl+Hq6go1NUWXbFUvaC1IUQrUJy9FFra2ttizZw/u3r2LESNGyG2QEUKwd+9e2NraYtCgQVizZg1u\n3bolczVtdYNaPClCtLW1ERkZiZCQEJkNOmXDMAwWLlyI58+fY+rUqRLbOV2+fBnr1q1Du3bt5MpZ\n0uop7FDq6OjAytwc16SccxrASAA/APi9HPITAPq1a4vmPJaXiRMnIiQkBMuXL/+qfJTNy5cvRRbZ\ngICAKpam/FDPRZQKp6RP3qBynC/0ydsEAp+89erVw7hx4ypURkr1wMbGBjt37kRwcDCWLVuGHTt2\ngM/nyzxn//792L9/PwwMDCqkx5+bm4uMjAwUFBRAXV0dlpaWX63I2KBzPL9vSjfqRo4c+VX5nT59\nmnXf3AEDBsgcFi/N2LFj8ddff2HTpk1ITU2Fp6cnateujatXr2Lbtm1o0KAB9u7dKzcfVVVVLFiw\nAJMmTRIbyXD38MDejRvxS6ktle5DsBenOoAfAewplZ8dIHNRknBWp7qmJquBwt3dHe3bt5crNwCY\nm5tj0aJFCqX9GgghOHLkCG7evCkR17lzZ7Gh8/T0dMTExIAQgnfv3iElJQVxcXHIz89HREQEXFxc\nlC6v0qiKXeuVRWpqKhk0aBAxMTEhGhoapGHDhsTd3Z2sX79eLJ2JiYlUH63nz58nDMOQffv2scZv\n2LCBMAxDOnbsKFWO0n5Y9fT0iKurK6tXlZI+fNn8tyYnJyt07Tt27CAuLi6kdu3aREtLi9ja2pIl\nS5ZIeFjo1asXqVOnjsT5N2/eJAzDEFNTU4m4s2fPEoZhSFRUFCHk//eIYRhy48YNsbSZmZmEy+EQ\n1VJeJlwBwkg5bEp5o2BLM2jQIPL48WMJ2YqLi8n27dtJhw4diL6+PtHV1SXNmjUjo0aNIleuXBGl\nk/dcfXx8iI6OjliYq6srsbW1FQszMTERe0ZGRkakc+fO5MCBA6z5EvJ/TyPyDg6HQx48eCB2fxmG\nISoqKsTIyIgMHjyYpKenS+TPJqeQV69eEYZhyOLFi8XC5X0rISEhCsns5uYmun/yfBWXfA7Srn/9\n+vXEz8+PqKqqyvSAVPL44YcfJPxfy/PucvfuXeLv70+4XK7UfFu0aMHqZSQgIEAkb05Ojii85DvE\n9l0DkAgzMzMjhBASHBws8748f/6c9V1SVVUlBgYGxNHRkQQEBJD//vuP9XopVcu2bdsIh8Mh169f\nl5nOzMyM9OvXTyyMw+GQadOmiX5nZ2cTDocj9YiJiRE7/9GjR4TD4ZCVK1fKLHv//v2ke/fuRF9f\nn2hqahIrKyuyYMECVl/tnp6exMjISCK8sLCQmJqaEg6HI9dzUSJAODKOFQp6LpJ2H4TffseOHUn7\n9u3F5Kxfvz4ZOnSozPvB5mlo/vz5REVFRabnIg8PD5n5STv27t1LCBF4LioZzuVyib6+PnFwcCCz\nZ88m//zzj0y5vwVqjMXz0qVL6Nq1K0xMTDBhwgTUq1cPDx8+xJUrVxAeHo6pU6eK0sqbVyYrPjY2\nFmZmZrh69SoyMzNhbm7Omq5Hjx6ijXcfPHiAjRs3om/fvkhMTJTYb5BhGPz8889ivnCFyJu7Ulxc\nDC8vL8TFxcHFxQWLFy+GlpYWkpKSsHjxYsTFxeHMmTMwNDQEIOhVnThxAnfv3kWLFi1E+fB4PHC5\nXPz333948uSJmB9fHo8HhmEkNgZnGAYhISFiW0FM9vODOiESczgYAI0BLIegtihJLZa0PwMwBfAG\nwDyGEc0LFE6qFuLv74+IiAj0798fI0aMAJfLxb1793D8+HFYWFigQ4cOYvJKo6QPXlnpGYaBnZ0d\nZs+eDUIInjx5gk2bNmHgwIGIjIzEhAkTJM4xNDSU8Om7evVqPH78GL/88ouYJcTQ0FC0sGr69Omw\nt7fH58+fkZqaio0bN+LChQu4c+cOjIyMFLouNhT5VgYNGoSmTZuKzsnNzcXEiRMxcOBADBw4UBRu\nbGwskkFDQwNbtmyRsOywDS8Lr600nTt3xtSpUxEYGAgXFxeFtlU6ceIETpw4ga5du2LRokUy53xm\nZWVhsp8fEk+dghGXC00+HxYAIiFYeZsHoBMAFQBpX76Rnu7uiNi0CWZmZgAEHprk+XF2cXERe+bF\nxcUYOXIkmjVrJmZZEVpWhedGRkZCW1tbQu7S/u29vb3h4eGB4uJivHnzBteuXcOvv/6KX3/9FVu2\nbMGwYcPk3jdK5eHj4wMfHx+56TJZNkMvKioS+21iYiIRJouGDRsqlH7AgAEKLfwDILYBfklUVVUl\nFoY2b94cPd3dEXDuHPry+RAuo/oBgOJXIc57AIu4XPR0c8Pxkydlpr18+bJEWMkN46Xh5+cHPz8/\nsbBly5Zh2bJlUs/5999/y5QfG+rq6mV6vt8kVdvurTg8PDyIsbExef/+vUTcy5cvxX6bmpqWy+KZ\nmZlJGIYhBw8eJEZGRmTJkiWseZT2rUsIIenp6YRhGNK7d2+xcEV7wtJYunQpYRiGzJs3TyLu6NGj\nREVFRawH9ueffxKGYUhkZKRYWi8vL9K/f3+ip6cn6nkJ+eGHH4ihoaHot/AetW3blnA4HHLz5k1C\nyP97ti4A0S3VO+0CEFs5PVhhL5YDkOslwmJK9Gzj4uJEcjx//pxwOBwyceJE1ntT8rnLs3iOHj2a\n6OrqioV16dJFwpLI9u48e/aM6OjoEGtra9a82ejTp4/I2lUaabIKe8yrVq2SK6cQNotnWb4VWfmU\nhO3+sSHvOQi5du0aYRiGBAQEkJkzZ8r1AV/y6Ny5M9m5c6eExTMqKopoa2gQEy6XxACkACCmAOlb\n6h1kADIQIFyAzAJIEy6XaGtokKioKMLj8cT8OJe0eMq6B4WFhSLZ2AgJCZHIjw1Zltz//vuPWFlZ\nEQ0NDZKamiozHwqlMsnMzCTaGhrEVwEdIO8oBogvQLQ1NEhmZmZVXxqlHNSYCUeZmZlo0aIF67YU\nBgbynG8pRkxMDPT19dG7d28MHjwYMTExCp9rbW0NAwMD3L9/v0JkAYD8/HysXr0a1tbWrH5be/fu\nDR8fHyQmJuLq1asABNvaqKmpgcfjiaXl8XhwcXFB+/btxeIIIbhy5QocHR3F0jMMA39/f9SuXRsh\nISEA/u+T17TCrlDAIAC1OBwUFxeL3b+srCwQQiRkE1JRz10exsbGsLGxUfoWUJ07dwYh5Kvfocr4\nVr6W+/fvg2EY9OzZE2vWrEF2djbmzJmjkHU3KSkJI0eOBCEE6enpIISUebFbQwAuAB5DfLHbzJkz\n0apVK7HRAkUoLi4uU/ry0LhxY2zbtg0FBQVYuXKl0sujUBTFzMwMv6xfj2gAoV+RD/lyfjSAX3/7\nTTQKQfm2qDENTxMTE1y/fh13795VKP3nz58l/KXm5OTg7du3Us+JjY3FoEGDwOVy4eXlhX///RfX\nr19XqLx3797hzZs3qFOnjtT40rK8fv1aZp4XL17Emzdv4O3tLXXRQmk/u+rq6mjXrh0uXrwoSvPo\n0SM8fPgQjo6O6NSpk1jD8/bt23j//j2r/209PT3MmDEDR44cQUpKisgnr7SXqghADsshb483dQCt\nvijukvfPxMQEABAXF8c6yZ6NDx8+SNznV69efdUGxHw+Hw8fPkTdunXLnYciCBu20t4hRSnrt1IW\n2L4pts2p2Z5DTk6OmIyEEMTExKCoqAhGRkawtbUFIQTjxo2Dnp6eQvJER0fDzMxMtNgtCoCiOyZ6\nATgCwbB7FIAQAMnJySgsLBR1tuRhamqKsWPHihqeshYXCTcSL31P3r17p6DEQMeOHWFhYYFTp04p\nfE55ePDgATgcDnbs2KHUcig1B19fX4SGhmIhgPEAyupz5z0Eno0WQbBrCl1w+u1SYxqes2fPRl5e\nHtq0aQMnJyfMnz8fp06dkrpC9sSJExL+Ug0NDTFgwABWq8r169fx999/w9PTEwDg7OyMhg0bSrV6\n5uf/j70zj6sp/eP455xuukkpKlkrRaSQRCWjkLHP2GUNpUky9rGEoojBWEahUJQRQmOb7FvoN7I1\nGktK1kGWikpufX9/3O5xT/e2ICLn/XqdV93nec6znHvuvd/zfb5LLifUJCQkYPDgwSgoKMCAAQMU\n2hIROnXqpDCXevXqlbjmpKQkMAxTYp7dFi2kGW/l8+w6ODggLS0Njx49AiAVYNXV1WFtbQ17e3tc\nvXoVr1+/5uqU2XdSoR3fhAkToK2tjTlz5pSak/dfAHpFDn0AU5W0zYBUKH0AIBrAlcJy+fzfBgYG\nGDFiBPbv34969eqhX79+WL58OW7cuFHsHEaPHq1wnfX19blcvWVB/qHl6tWrGD58OJ48eYKBAweW\nuY+yIBPO/vvvP8TGxmLSpElgWRb9+vUr8bzw8HCwLAuWZTlNtzxTp05FRkYGLCwsUKNGjVI/K6VB\nREhOTkZWVhZ0dXV5h56entJ7vrj34cmTJwCkAlSHDh0QEhKCevXqwcXFBVOmTEGXLl0QGhqKtLQ0\n+Pn5lUkIv5eWhjGQRlgwh9Rbtih7IP0ylM8u3x+ABMDEwjoRpPbHt27eLLNdLcuyYBiGs9nKzs6G\nn58f7t69q7T98ePHFa6LnZ1dmcaSYWFhgadPnwqpaAW+OGbPno2QkBD8IRbDQiTCVgB5pZzzBsBW\nAJYiEf4QixEaGvpVhxISqEThlDp37oxz585h0aJFiI2Nxfnz57FkyRLo6ekhNDRUIQaZra0tAgIC\nFBwhLl++jGnTpin0HxkZCQMDAzg6OnJlgwYNQmRkJJYtW6bwQ7RhwwZeAPQqVapg+vTpmDRJMS8D\nwzAICgriOXMAyp0y5JFpkkrKeiGrk8+z6+DggF9//RWnT5/GwIEDcfbsWVhbW0MkEsHOzg75+fk4\nf/48OnXqhDNnzkAsFhebu1ZLSwsTJ06Er68vl5P3VDFzMYZ0i6Soc1FR8ZoAdCpSVgfSJ16ZQCwj\nLCwMbdu2xcaNG7Fnzx7s2bMHU6dORceOHbF582aeGA0XGgAAIABJREFUkxQAzJs3T6n2dsmSJTh7\n9mwxM+cje2iRIRKJMGLEiHKPATd69Gje/amvr4+IiAhYW1uX6Xx1dXVER0crlKuqqgKQCkWZmZn4\n9ddfS/yslERubi5+/PFHnDlzBizLws3NDdra2sjKysKVK1cQHx+PqlUVE+YV9z7UqFGD+//QoUNY\nunQpIiIiEBUVBSLC4cOHMXjwYKxfvx5z587FxIkTERQUhGXLliE9PV2hPwZAbQC/Fb5uD2AjpNoW\n+U9NHKRfhvLxBrUBdAXwV2FdIqSOR9eIkEFUJuHzxo0bYFmWu29lgqeTk5PSrCM2NjYK95EyZ6OS\nkM/j/CnCQgkIfAxubm7o1KkTxnl4YOjhw5gkEqGfRILWAJoBUAeQA+AagAsAokUiPJFI0NXJiefk\nJ/D1UmkETwCwtrbGzp07IZFIcOXKFezevRu//fYbBgwYgMuXL6NJkyZcW11dXZ72TIaKioqCMFpQ\nUICoqCg4OTnxvA7btGmDZcuW4ejRo+jcuTPvnB9++AHjx49HXl4e/v77byxcuBDZ2cVvKtvY2KBV\nq1bvtV6ZUFlSnl1lwmm7du3AMAzi4uIwcOBAxMXFoUuXLgCA6tWrw9zcHHFxcejUqRPOnj0LGxsb\niETF3yo///wzli5diszMzBJz8mqAr1EqDgbSTEaNINV8bgRworBO2Za4p6cnPD098eLFC8TFxWHt\n2rU4cOAAXFxccPLkSV5bCwsLpXm9t2zZUoaZSZE9tABA1apV0bRp0zJv/b4PMuHs1atX2L17N7Zt\n2/ZeHuzdu3fnIg7In7d161bY2NggPT0d5ubm8PPzK/azkp+fX6J94sSJE3H48GG0bdsWSUlJWLdu\nHa/+9u3bSrd9i3sf5JHFBZw6dSpMTU1hYGAAlmWxfft2VKlSBZs3b4aWlhZmzJgBb29vrF27Fr/+\n+iseP37M9UEAluCdkOkA6cPPWUi9amXEARgEqWZFniEA/gRgAWA/pJlVDhUUYFeJM+evAeDbeJb0\nHtaoUeOD8s5nZ2dzAv7XnsdZoPJjbGyMg4cOISkpCWvXrsWRgwex9vZt3m8vwzBoYmKCQd26wdPT\nk0vvKfD1U2m22uURiUSwtraGv78/goKCkJeXhx07dnxwf8eOHcOjR4+wbds2NGrUiDtkKf+UbbfX\nq1cPHTt2RNeuXTFnzhwsW7YMq1evxp49ez5maTyaNm0KIioxz66sTj6gcI0aNdCkSROcOXMGr1+/\nxtWrV3kOOvb29jhz5gwePHiAu3fvKtVMyaOlpcWlfbv8MQuSwwZAR0gDDMdAqi0FSnbS0NHRQc+e\nPbFv3z506NABZ86cwb1798ppRu+QPbQ4OTmhbdu2n0ToBN4JZ71798amTZvQq1cvuLm54cGDB7x2\nYrFYwcaVYRi4uLhwdsJisRiA1Exg586dGDJkCIgILMtyn5X58+fjzZs3mDRpElauXAlTU1OIxWKe\nmYY89+/fx4YNG9CtW7difxRMTEzw008/KZTPmjULurq6qFq1Klq3bq1UM8uyLCZMmIBx48bh7t27\nuHTpEqZOnQoVFRVERkby7gUNDQ2MHz8eOTk5aNeuHRfmSR3SLXMZDpAKo/KudQUALgLoi3f3mQz7\nwvYvIN0SHIB3Qa2JCF5eXtDR0YG2tjbPblqGzMZTttUus6t1dHQEy7JQUVHBqVP8PYLDhw/DysoK\n6urqaNasGXbv3q3Q75QpU3Dq1CmMGzcOtWrVQv369bm6y5cvc4HwxWIxLCwssGkTPy/M27dvMXfu\nXLRu3RrahZlfvvvuO5w4cUJhrIyMDLi6ukJbWxs6OjoYNWpUibbwAgJlxdzcHKtWrULSrVvIzMzE\npUuXcP78eVy6dAmZmZlIunULq1atEoTOSkalFDzlkW0Ry+wZP4SIiAjUqlULO3fuVDgGDx6M3bt3\nl+qc4uHhARMTE/j4fEguH+U4ODhAW1sbW7duVdDSypDl2e3Zs6fCuYmJiTh06BAKCgoUBM/4+Hju\nR6g0wRMA5syZA+DdlmZ5wgLoVvj/kSNHynROebzvXxqBgYHIzc1VyNJhaGiIe/fuKdyDRkZG3MOJ\nzBHrwIEDyMzM5GyV5ZHZCsfHx+P333+Hh4cHli1bxtv+lufgwYMoKCjA0KFD32sdRISGDRtiwYIF\nWLRoEVRVVTFw4EAcPHhQoe2RI0ewceNGWFhYYNWqVdxDX9EIBwDw559/4tWrV1iyZAknzFmB771u\nDKnZhryI+ALAW0iFTJmgKeNi4d8HALoAqIF320REhOzsbAQGBmLQoEFc9iN5ZNpNmZAsExB9fHwQ\nERGBLVu28H5Ub9++jcGDB6N79+4IDAyEqqoqBgwYgKNHjypcm3HjxuH69euYN28eZsyYAQDYv38/\n7ty5wwntsms2ZswYrFq1ijs3MzMTGzduhJOTE5YsWQI/Pz+kp6eja9euCg+yvXv3RmRkJEaMGIGA\ngADcv38fI0eOfO/4sQICJVGtWjW0bNkSbdu2RcuWLQUzkcrM54vc9Gk5fvy40vLFixcTwzC0YsUK\nrux94njm5OSQlpYWubu7K21/9uxZYhiGtm/fzpUpi+NJRBQcHEwsy1JMTAxX9rFxPAMCAohhGJox\nY4ZCnbI4njI2b95MDMOQvb09mZmZ8epu3rzJ1YlEIsrIyODVFxeLUVdHhwBQy3KO40kAeQIkVlOj\n2rVr05s3b4hIGj8zKSlJYW15eXnUsmVLEolEXFzETxnH80P4kDieRESDBg0idXV1LpMNEVFMTAwx\nDEMrV64konf31IULF6hFixYEgMv6NHDgQGrVqpXStcyYMYMAkLq6ukI8SWVxPCdPnkwsy9LVq1d5\n1y8vL4/S09O5Q74vZWuTSCRkaWlJnTt35spu3brFxW4FwGUPefHiBenr6xMAhVi0vXv3poYNGxIR\n0T///EMAaJCSe2wgQBoASQrjeDYFyKSwLrgwFqh34euphXE9pwF0vrDMVy5maFpaGjd+gwYNiGEY\n3pyMjIxo1KhR9OjRIwJAlpaWxLIsnTx5ktfO19eXy2y0Z88erjwzM5Pq1KlD1tbWRPQujicA6tCh\nAxUUFHBt79y5Q9WrVycACpmcXFxcSEdHh3Jzc4lImvHr7du3vDYZGRlkYGBAbm5uXNmePXsU4oYW\nFBTQd999RyzLUnh4OAkICAi8D5XGxtPb2xvZ2dno06cPmjRpgry8PMTFxWH79u1o2LAhRo0a9UH9\nxsTEICsrC71791Zab2trCz09PURGRir13pXH1dUVc+fOxeLFi3n9EREOHDigdEvT3t6+RGPqGTNm\n4PLly1iyZAnOnTuHfv36QV1dHadPn0ZkZCSaNWuGsLAwhfNkWsxz584pXJtGjRpBV1cX586dQ/Pm\nzcu8ldx3wACErF+PKwCUPatmACgu8qm8zqyo7vYNpAbmTh074q+//kJYWBjGjh2L+/fvo02bNujY\nsSM6deoEAwMDPHnyBH/88QeuXr2KSZMmFaut+1qZNm0atm/fjhUrVnCxW3v16oUuXbpg0qRJiI+P\nB8uyXNihxMREsCyLc+fO4fvvv8e+ffugo6MDExMTPH/+HGlpaQgKCuI+KwAwYMCAMl03mcOaTDMh\nkUgQGRmJhIQE/PbbO923WCzG8+fPoa6uzpWdOnUKOTk5eP36NQoKClCrVi2cO3cOiYmJsLS0xJUr\nV7i2VlZWiI+PR3R0NDZv3oz09HQYGRlh69atXCaQFy9e4K+//uI0f2lpaQCAuwCKZnF+DWkIL1kg\ntOeQajMBoF3hX1kAo7MAGkJqJyoPA+l9eurUKS6cmYGBAe7evYtXr14paGtkGs/StITVq1fHq1ev\neOY71tbW2LdvH+fxL8Pc3BwRERF4+fIl/v77b0RHRyM7OxtdunSBmZkZLzxVly5dEBUVhYsXL8LO\nzg4Mw3B220SEly9fIj8/H61bt8bFixe58w4ePAhVVVWeuYQshu/p06dLXIuAgICAUipY8C03YmNj\nyc3NjczNzUlLS4vEYjE1btyYJk6cqJCNRVk+XBknTpwglmVp165dRCTVomhoaFBOTk6xY48aNYrU\n1NTo+fPnRKSYW1cePz8/nsZDpp0q7iirRiE8PJzat2/Py9Xu7+9P2dnZxZ5Tt25dUlFRodDQUIW6\nH374gViWpfHjxyvUya5RUY2cLHMRA5CWEo1nSXl5y5K56Nq1a2RqakqNGjWigoICysrKotWrV1O3\nbt2oQYMGpKamRtWrV6d27drRxo0byzRnGa6urqSlpcUrc3R0pObNm/PKSrp33oeePXty2rmilDZX\nJycn0tbW5mUeysvLo/nz55O5uTlVqVKFAFCLFi3ojz/+oG7dulHfvn0pPDycxGIx7d69m9zc3EhV\nVZVEIhH3WRk9ejQBIH9/f4Ux09PTiWVZXrauSZMm8TSeyu5fFNEMytYmKy96yDSqT5484cpq1apF\nVapUoZo1a1Lnzp1p9+7dFBQURCoqKlxucllWJ1ke4927d0s1psUcAGh5ocZTFaC1cllRAJAzQLkA\nqQE0ssi97Ft4j8vmp6WlRY6OjlS3bl0CQKdOneI0kTKN571797j3pCSNJ6CYe1qWlz0+Pp6n8WRZ\nlqpUqUK6urpkZ2dHkydP5sqLy/kur00NCwuj5s2bU5UqVXjtTExMuDZdu3YlQ0NDhfvh6tWrxDCM\noPEUEBB4byqN4CnwZdDV2ZkMRSLKLMO2elmODIAaqKhQV2fnil7aV0NR840tW7aQWCwmOzs76tOn\nD9eu6FZ7SekYlbFu3TpiGIa2bt1abJuiJgynTp0ilmWpY8eOtGnTJvrrr7/o6NGjNHToUGJZlmuX\nk5NDABTMQGQ8f/6c1NTUaNGiRURE1L59e2rTpg1Xf+nSJYLc9rj8kV/4YNQXoH8LhcircvVdAHIH\n6HRhXYgSwVMmvBZ3aGtrU8eOHal69erk6OhIp0+fJgA0Z84cpYKn7P1wdHRUKN+4cSOxLEvx8fFE\nVLx5zn///UcMw9CIESPo6NGjSg/ZQ7gspWi/fv0oIiKCDh06REePHqVOnTrxTEAEwVNAQKC8qTRb\n7QJfBkHr1sHS3ByTJRKEfGRfBGAygAf5+Rhpa4uCgoISM78IKKdPnz7w8PBAfHw8oqKiyq3fbt26\ncR7mLi4uZTpn165dUFdXR2xsLC9E14YNG3jt1q9fD0AaskwZOjo66NGjByIjIzFkyBDExcXxnGdM\nTU3BMAySiNC2yLksAFtIPdvPAKgOwFKu3h7AdgAmkG6pK3OtU+7K946XL1/i2LFjAIATJ06gffv2\nAKTxgIkIJ0+ehKGhIRo0aMDbfk9OTlboS5YQwcjIqMQx9fT0oKmpifz8/FJDMkVHR8PExAQ7d+7k\nlc+dO5f32tDQEMeOHeOFawKA69evl9i/gICAQHEIv+IC5Up55+TdAMCxUycsWLAAXbp0+SThkSo7\nGhoaWLt2LXx9fd8rOHxp1K9fH6NHj8bBgwexZs0apW2Khr9SUVEBwzC8LEl37tzh4o0C0piUixYt\nAgBoa2sXO/7w4cNx7do1TJs2DSKRCIMGDeLqqlWrBrOGDXkB4eVxAPAEwCZAQTC1B3Ad0jBeNQE0\ngXI+5Kk9JSUFRIS5c+fCyMgI+vr66Nq1K3x8fJCdnY2HDx9i1653UUIzMzOxZcsWWFlZQV9fv8S+\nZVmtoqOjlaZDlQ+wryw5RXx8PM6dO8cr6969O96+fYvg4GCurKCgAKtXrxa82gUEBD4IQeMpUO64\nubnh8ePH8PHxQRqA5Sh7fmxAmqFoCqSBvgMCAjBr1iwcOXIErq6usLS0RFBQEBc3VEA5VCS81vDh\nwz/JOCtWrMCdO3cwYcIEbNu2Db169YK+vj7S09MRFxeHvXv38sIF9ejRA8uXL8f333+PIUOG4PHj\nx1zWLlkYn7Vr1yI9Pb1UwaZHjx6oWbMmduzYge7du0NXV5dX79y9O6KCg7FCIuGFVALeaTHPQ5qD\nXR5bSDWd5wEocymUQPpg9GEJRvmkp6cjNjYWsbGxXFn//v3RsGFDmJqa4vr163jy5AnCw8N55xV9\nf2UEBgbixIkTaNu2Ldzd3WFubo7nz58jISEBx44d44TPnj17YteuXfjxxx/Ro0cPpKSkYN26dWjW\nrBkv1WavXr24FMSpqakwNzfHrl27SkxaISAgIFAiFbvTL1CZCQkJIQ2xmBqIRBQJ0JtS7DlzCx2J\nGohEpCEWKzg9PX/+nFxcXKRhcgYNUgj5IyClrCG6ijpK3blzh1iWpeXLl7/XeAUFBRQeHk6dO3cm\nXV1dqlKlCunr65OzszOFhIRw4a9kbNq0iczMzEhdXZ3Mzc0pPDycfH19iWVZevXqFenr65Obm1uJ\nTnoyvLy8iGVZioqKUqiTObtFKrnXsgudilQAOqKkvkWhHedSJXV9i9hz1qtXj2rUqFGizefHHrVr\n16aePXuSr68v+fj4lPj+Pn36lLy9vcnQ0JDU1NSoTp065OzsTBs2bOC1CwwMJGNjY1JXVydra2s6\ncOAAubq6Kji9vXjxgkaOHEna2tqko6NDrq6udOXKFSGckoCAwAfBEBXz6CwgUA6kpqZinIcH/jp8\nGPplzcnr7FxiTt5t27bB09MTVatWRVhYGJydnT/begQ+Lb/++itmz56NmzdvlmrTCACTJ0/Gxo0b\n8d9//3HZmeTp1qUL/j1+HIkSyXtp3YsjE0BTAP9BmvFIhra2NqZOnYrGjRvj4sWLuHDhAhISEvDi\nxYtyGJXP9OnTsXjx4nLvV0BAQOCzUNGSr8C3wbVr18jb25uamppy4WBkB8Mw1NTUlLy9vZUGhFfG\nvXv3yNnZmQCQt7c3vX79+hOvQOBTk5mZSTVr1qSffvqpTO1zc3NJT0+PxowZU2yblJQU0hCLya0c\nIiwUADSmFI92a2trOn/+PBFJNcG3b9+mqKgocnV1JQBUrVq1j9Z+Ll26lCQSSblccwEBAYHPjaDx\nFPjsvHr1iksvKMsp/SHp0QoKCrBmzRpMnz4dhoaGiIiI4FJlCnx9LFq0CL6+vkhOTublHi/K06dP\ncfjwYezcuRN//vknLl68yKX7VEZoaCjc3d2xAMCHJqyVObvNLa1hIW5ubli0aBFnd3rlyhW0bNkS\n8fHx0NHRQUJCAi5cuMBpRuXtKstC1apVYWVlBWtra7Ru3RqtW7dG48aNlToNCQgICHxJCIKnwFfP\nv//+i+HDh+PKlSuYO3cuZs6cyQvVI/Dlk5mZCWNjY7i4uOD3338vse3Jkyfh5OSEWrVqYe7cufD0\n9Cy1/4CAAPj4+MANH+fs5ufnB5FIBH9/f+Tk5JR4no6ODgICAjB27FhcuXIF1tbWSEhIQKtWrXjt\nCgoKcOvWLZ4gevHiRbx+/VqhT21tbezatQsJCQmc8CoLwaShoYFWrVpxgqi1tTUaNWokhCATEBD4\nohAET4FKwdu3b7FgwQIEBATAxsYGW7ZsQaNGjSp6WgJlxN/fH/7+/rh9+zbq1q37ScYIDQ3FRG9v\n1JRIsEgiQX9AwdtdnjcAogHMFInwTCTCyt9/x5gxYwAAd+/exeTJkxEdHV3quK1atcL48eMxevRo\nXL58GS1atCj1nPz8fNy4cYOnGb106RIcHBxw6NAhXtuXL19ydqUywTUlJQUAoKmpCWtra55m1MTE\nRAiFJCAgUGEIgqdApeLcuXMYMWIEHj58iOXLl2Ps2LHCj+wXzsuXL2FsbIwRI0Zg5cqVn3Ss8nZ2\nO3ToELy9vXHz5s0yjX/ixAl06NDhg+YukUjw4sUL6OnpldpWFkJJXnCV5a+vXr06TxC1traGsbGx\n8DkREBD4LAiCp0Cl49WrV5g6dSrWrVuH7t27IzQ0FLVr167oaQkUg6+vLxYvXoyUlJTP9j4lJSVh\n7dq1OHLwIK7fvs2Li8kwDJqYmKBzt27w9PTkxSFVxps3b7B8+XL4+/sjOzu7xLZaWlpYunQp3N3d\ny2Ud70N6erqCbaksIYOOjg4nhMoE0qJZlQQEBATKA0HwFKi07N+/H2PGjIFEIsH69evRt2/fD+qn\nvJyhBBR58eIFjIyM4ObmhmXLllXIHMrr/S3r9vu0adOwZMmSD51uufL48WMFzejDhw8BADVr1uSE\nUJlQWq9ePUEYFRAQ+CgEwVOgUvP06VN4eHhg9+7dGDlyJFauXInq1auXep5MI3b4wAHcKExzKINh\nGJg1bAjn7t3x008/wdzc/FMuoVIzZ84cLF++HCkpKahVq1ZFT6dcKGn7XV1dHdevX0eDBg0qYGZl\n49GjRzxB9MKFC3j8+DEAQF9fX0EzWqdOnQqesYCAwNeEIHgKVHqICJs3b4a3tzd0dHSwefPmYu3s\nlNkA2gAwB1AVQDaAJAB/o+wB7wWU8+zZMxgZGcHT0/OL0QCWF2/evMFvv/2GBQsW8Lbf1dTUoKmp\nicWLF8PV1fWr8DgnIjx8+JDbnpcJo0+fPgUAGBgY8LSirVu3hoGBQQXPWkBA4EtFEDwFvhnu3LmD\nkSNH4vTp05gyZQr8/f2hpqaG8PBw6Ojo4MmTJ5jo7Q1diQQLy+D1nAdgJ955Pa9YvRpubm6fZzGV\ngFmzZmHVqlVITU0tk8PM18jdu3cxZcoU7Ny5E4DU+W3NmjWIiIhA27ZtERQUpBBe6WuAiHDv3j0F\nm9Fnz54BAOrWrcsTRK2traGvr1/BsxYQEPgSEARPgW+K/Px8/Pbbb5g9ezbMzMzg7++PwYMHczEZ\nxwD4De8X5zELwGRI4zz6+/tj9uzZ5T7vysbTp09hbGyMCRMmYOHChRU9nU9OYGAgZs6ciTt37sDQ\n0BCnTp2Cl5cXrl27hp9++gn+/v6oUaNGRU/zoyAipKWlKWhGX758CQCoX78+TzNqbW3NBdgXEBD4\nhvhcKZIEvk4YhiFvb+9S223atIkYhqG0tLRS24aFhRHDMJSQkFAeU/wgrly5QhYWFrz0nQuKSZU4\nEiCjMqRUnF/YT2hoaIWt60tg3rx5xDBMiW2mTZtGmpqalJ6e/plmVbH89ddfBIDu3bvHleXl5dFv\nv/1GmpqapKurS6GhoZSfn1+Bsyx/CgoKKDk5maKiomjatGnk5OREWlpa3GfOyMiI+vfvT4sWLaLD\nhw/T8+fPK3rKAgICn5gv38BI4IPYsWMHWJZFTEyMQl2LFi3AsixOnjypUNegQQM4ODi893gMwyh4\nuwYHByM8PLzY9hVJ8+bN8cMPP4CIwEKq6SwunSJTeJSGDwA3AF6enujcuTMMDAygpqaGmjVrokOH\nDli+fDmysrLKaQWfn1GjRoFlWe6oXr06WrZsieXLlyMvL49rp+xekOfx48f4/fff8fPPP6NmzZqf\nY+oVTkFBAQDwbDpVVVUxceJE3LhxA127doWbmxvs7e2RkJBQUdMsdxiGgYmJCQYOHIglS5bg2LFj\nePHiBW7evImtW7eiX79+ePr0KQICAuDs7IwaNWrAxMQEgwYNwq+//orjx48jIyOjopchICBQjgiC\nZyVFJjyeOXOGV56VlYVr165BVVUVcXFxvLr79+/j/v37aN++/XuPN2LECOTk5PC8dYOCgooVPCua\n69evIzAwECyA2pBur5cHOQDevH2L/8XHw8vLC+vWrYOvry/q1q2LOXPmfHBIpy8FsViMyMhIRERE\nYNGiRahZsyamTp0KV1fXMvexZMkSqKqqYvLkyZ9uol8Y+fn5AKDUmah27drYsmULTp48iezsbNjY\n2MDT0xPPnz//3NP8LLAsi0aNGsHFxQVLly7FiRMnkJGRgX///RcRERHo3bs3Hj58CD8/P3Ts2BHa\n2tpo3LgxhgwZgmXLluHkyZPIzMys6GUICAh8IEJC60pK7dq1YWxsrCB4njt3DkSEAQMGKNSdOXMG\nDMOgXbt27z0ewzCoUqUkV5zyIzc3F2Kx+KP6MDMzg6+vL+bMmYMleD+bzuJYDGArgB4A9r96hf79\n+3PBx729vfH48WNs3ry5xD6ICHl5eVBTUyuHGZU/IpEILi4u3GtPT0+0bdsWUVFRWL58eanezI8e\nPUJQUBBmzJgBHR2dTz3dLwaZxlNFRaXYNt999x0uXryINWvWYO7cudixYwcCAwMxevTor8L7/WNg\nWRZNmjRBkyZNMHToUADv0obK24zu2bMHOTk5YBgGjRs35tmMWllZVcr4ukIcYYHKRuX+NvvGcXBw\nwKVLl/DmzRuuLC4uDhYWFujWrRvOnz/Pa1+S4BkTEwNLS0uIxWJYWFggNjaWVx8WFgaWZXH37l0A\ngLGxMa5du4YTJ05wW7MdO3bknfP69Wt4eHhAV1cX1atXx8iRIzlHBBlGRkbo3bs3Dh06BBsbG6ir\nq2P9+vVcfUREBFq3bo2qVauiZs2acHFxwf379xXWNXDgQBgaGkIsFqNBgwaYMmUKHj58CH0VFfSX\na7sHgAWk6RObF74uCzkAlgCwhNTTXV8kQnBwMK9NrVq1MG3aNF4Zy7KYMGECtm7dCgsLC4jFYu7a\nZmdnY8qUKWjQoAHEYjGaNGmiEGQ9LS0NLMsqFWhZlsX8+fO5176+vmBZFjdu3MDAgQNRvXp16Orq\nYuLEibx75H1gGAaOjo4ApFEDSiIiIgJWVlbIzc3FihUr0KFDBxw5cuSDxv3aKEnjKY9IJMLPP/+M\nGzduoHv37nB3d6902+9lRUVFBebm5lwq1bi4OGRmZiIxMREbN25E586dkZycjJkzZ+K7776DlpYW\nmjVrhpEjR2LVqlU4e/ZsqZmkvlSSkpIwYcIENDU1hZaWFqysrGBrawsrKytoaWmhqakpJkyYgKSk\npIqeqoDAeyNoPCsxDg4OiIiIQHx8PL777jsAUsHT3t4ednZ2ePnyJf755x9YWFgAAM6ePYsmTZoo\naKJOnz6NXbt2Ydy4cdDU1MSqVavQv39/3L17l2tb1K5v5cqVGD9+PDQ1NeHj4wMi4gUIJyKMHz8e\nOjo68PPzw40bNxAUFIS7d+/i+PHjXDuGYXCmi6l5AAAgAElEQVT9+nUMGTIEHh4eGDt2LMzMzAAA\nAQEBmDt3LgYPHgx3d3c8ffoUq1atQocOHXDp0iVoaWkBkNq75uTkYNy4cahZsyb+97//YfXq1VBX\nU8Ow/HwuZNIhAP0hFTwDATwDMApAvTJc6zMAXgKYDkAMoJ9EgiMHD5bhTODo0aPYvn07xo8fD11d\nXRgZGQEAevXqhZMnT8LNzQ0tWrRAbGwspk2bhocPH35Qlh/Z+zNw4EAYGxsjMDAQ58+fx6pVq/Dy\n5UuEhYW9d58AkJycDAAl2mv6+fnBz88PANC1a1f06NED8fHxOHbsGDp37vxB435NlEXjKY+BgQE2\nb94Md3d3eHl5wcbGBh4eHggICPjqvd8/BpFIBAsLC1hYWHDmHW/fvkVSUhJPM7pt2zbk5eWBZVmY\nm5vzNKMtWrSAurp6xS6kGJTFEZ6OInGEifD37duICg7G6tWrhTjCAl8fFeraJPBJSUpKIoZhKCAg\ngIiIJBIJVatWjSIiIoiIyMDAgIKDg4mIKCsri0QiEXl4ePD6YBiGxGIxpaamcmVXr14lhmFozZo1\nXFlYWBixLMvzarewsCAnJyeFecm82tu0aUMSiYQr//XXX4llWdq7dy9XZmRkRCzL0uHDh3l9pKWl\nkUgkosDAQF75tWvXSFVVlRYtWsSV5ebmKszBz8+PANBSOa/0lgDVBShLruwIQAxAxqV4tK8CiAXo\nz8LXGwBiGIYyMjIoPT2ddxS9viKRiK5fv84r37NnDzEMw1sHEdGAAQNIRUWFUlJSiIjozp07xDAM\nhYeHK6yRYRjy8/PjXvv6+hLDMNSnTx9eOy8vL2JZlhITExX6kMfV1ZXzRE9PT6fbt2/TwoULiWVZ\nsrKy4o3Dsiz3Ojk5mVRUVMjExIRq1KhBGRkZJY5TGdm+fTsB+KC1v337llasWEFaWlpUs2ZNCgkJ\nqXTe7+XNmzdvKCEhgdavX09jx46lVq1akaqqKgEgFRUVatGiBY0ePZqCgoLof//7n9LviM9NSEgI\naYjFZCgSUSRAb0r5znkDUCRADUQi0hCLKSQkpKKXICBQJoSt9kpM06ZNUbNmTc6W8/Lly8jOzoa9\nvT0AwN7ennMwOnv2LPLz85V6tDs7O3NaOACwtLSElpYWUlJSPmp+Y8eO5WmAPD09oaKiggMHDvDa\nGRsbK2jFoqOjOVvVZ8+ecYe+vj4aNWrE05rK20tmZ2fj2bNnqFu3LgBpTBcA+A/AFQCuAOStpzpB\nqm0oDZmrg+zcZpBqdQ8ePAg9PT3o6+tzf4s6jTg6OnJaXBkHDx6ESCSCt7c3r3zKlCkoKCjAwTJq\nU4vCMAy8vLx4Zd7e3iAiheuujFevXkFPTw96enowNTWFj48P2rVrh127dhV7zu7du7kYj9OmTeM0\n0d8SZd1qV4ay7Xc7OztcuHChvKdZaahSpQpatWoFd3d3rFu3DgkJCcjKysLff/+N33//HTY2Nrh4\n8SImTJiANm3aQFNTE61atcLYsWOxfv16JCQk8CI1fGoCAgLg7u4Ol9xcJEokGIKSk1egsH4IgH8k\nErjk5sLd3R0BAQGffrICAh+JsNVeybG3t8fp06cBSLfZ9fX1uS0Ze3t7rFmzhqtjGEap4Fm/fn2F\nMh0dHbx48eKD58UwDExNTXllGhoaqF27toKtoLItpOTkZBQUFCj0Ietb3tHp3r17mDNnDvbu3asw\n57eFf9MK/yr2BpgBuFTKemTOSa8K/8o28mrVqsXZMYaHhyMiIkLhXHmhXkZaWhrq1KkDDQ0NXrnM\nWSktLU3hnLJS9JqZmJiAZdlSbTQBaa7xffv2gYigpqYGY2PjUnN1yx5QqlevjvHjx3/wvL9m3ner\nXRlFt9/btGmDsWPHIiAg4JsJS/UxqKmpcVvuMnJycnD16lVui/78+fPYuHEj8vPzUaVKFTRv3pyX\ngalZs2ZQVVUt13mFhobCx8cHC1B8SLeS0AQQAqABAB8fHxgYGGDMmDHlOkcBgfJE0HhWchwcHJCR\nkYHExEScPXuW03YCUsEzLS0Njx49QlxcHOrUqaNUCCrux5I+U9IrZfZYBQUFYFkWhw4dwpEjR3jH\n4cOHsW7dOq5d586dcfDgQcycORMxMTE4cuQI53STW05zbAKp9vSfwtc5hX+1tbXRsWNHdOzYEQ0b\nNizz+spKcfEyZYLOx/ShDBUVFTg5OaFjx45o165dqUInIA3hVVBQgKlTp36z3rjK4nh+KO3bt8fF\nixexYsUK/PHHHzAzM0NISIjS97y84vnKnPyUcfLkSbAsy9N6h4eHg2VZXLx4kXOAK+1QUVHB3bt3\nuf7kj5o1a8LOzg5bt25VGN/IyIjXtlq1amjbti22bNlS7Fxlh4aGBuzs7DB+/HiEh4fDx8cHmZmZ\nOHv2LJYuXYpmzZrh1KlTcHd3h5WVFTQ0NNC2bVt4eXlh06ZNuHr1KiQSCfz8/BT6NTQ0RO/evREW\nFlas9jQ0NBQeY8dCDGARABMAgwDEKm0txQ/SH+6ix7zCejc3N54zp6urK29uYrEYZmZmmDdvXolO\nhRkZGRCLxVBRUcGNGzeUtika21dTUxMmJiYYMGAAdu3apfQ3wtHREc2bN+eVyd7Dn3/+WaG9svtL\nxp07dzB+/HiYmZlBQ0MDGhoaaNasGcaPH4/ExMRi11aWvgHAxcWlTPfuuHHjAAC2tra8+1lbWxtN\nmzaFq6srTpw4Uep8vhUEjWclR/bjcfr0acTFxWHSpElcnbW1NdTU1HD8+HHEx8ejR48e5Tp2SQIN\nEeHWrVvo0KEDV/b69Ws8evSoTPMwMTEBEcHIyEip1lNGYmIibt26hS1btnBhWmRjAcCDwteGhX9v\nKelD+Vcun/YAqgPYBmAmgGtQrtUtK4aGhjh69Chev37N03r++++/XD0AzrmraDSAkjSit27d4s4H\n3mmPlT10lAc3b94EADg5OX2S/r8GPmarXRkikQgTJkzAwIED8csvv2Ds2LEIDQ3FmjVreBo9+Xi+\nP/zwA1deNJ6v/OdQFs9X/vNS2sOJsnpZmZ6enoKmf+nSpXjw4AFWrFjBE0709PSQmpoKAJg4cSK3\nlmfPniEqKgrDhg1DRkYGPD09eeNYWVlh6tSpICI8evQIoaGhGDlyJPLy8pRq/+T7lsfOzg5Vq1aF\nnZ0d7OzsAABHjhxBly5dULt2bdSpUweNGzfGsWPHEBwcDCKCuro6p3EeOXIkZ+L06NEjxMbGYvTo\n0VixYgX279/PmfjIrsG0adOgxjDwBVADQDKAIwCiAHxfzLXuB6CR3OtXAH4C0BdANwC/sCzqmptz\nqXsZhoFYLMaGDRtARMjIyEBMTAwWLFiAlJQUpQI68O6hxcDAAJGRkbwIGfLI952Tk4O0tDTs3bsX\n/fv3h6OjI/7880/eA2dx9wrDMAgJCcHMmTMVwrIpO2ffvn0YPHgwVFVVMXToUO5B6vr169i1axfW\nrl2L1NRUpTt2pfUtw9vbG7169eJe37x5EwsWLICXlxdsbW258saNG3N9NWzYEAsWLAAR4dWrV7h1\n6xZ27dqFzZs3Y/jw4QgLC6vwBCoVTgXYlQp8RvLy8khdXZ3s7e2JZVk6d+4cr97e3p6rW716tcL5\nxaXMNDIyolGjRnGvlTkX2dra8pxO5NsyDEM2Njb09u1brnzJkiVKnYt69eql0Mft27dJJBLRsGHD\nlK772bNnRESUmJhIDMPQ5s2befU9evQgANRRzljfqtC5KFOu7FAZnYsIoIWFDkbTAfIEqKmpKW/M\nuXPnEsuy3NxKur4xMTHEMIyC89SgQYN4zkVERHp6etSvXz9euylTphDLskqdi3788Ude23HjxhHL\nsnT16lWl11KGzLmoNOSdi5KTk4llWWJZlvr160cFBQWlnl8Z2bhxIwH4ZE5Bp0+fpubNmxPDMOTh\n4cFzYmvYsCHZ2try2sfGxhLLsjR06FDq1q0br+6PP/4o8+eQiOjEiRPEMAxFR0dzZbLvg+LS4vbs\n2ZOMjY3L3B+R9LusXr165ODgwCtXNrenT5+SpqYmNWvWrEx9l8TIkSOpdevWtHr1atLU1KTs7Gwi\nIsrMzKSTJ0/SsmXLyNLSkksDCoCqVq1K7dq1o59//pnGjRtHKioqvPdAIpGQpqYmodBBqOh3ydMy\nfN/IjvTC7yi/wteRhXNISkoiouI/t3Z2dqSiokJPnjxRuu4OHTpQ//79acqUKWRiYqK0TUnfCYsX\nLyaGYWjw4MG8ckdHR7K0tOSVGRkZkaWlJVWpUoV+/vlnXp2y9+z27dtUrVo1srCwoMePHyuMnZ+f\nT6tXr6b79+8rnVtJfZfEmTNniGEYioqKUlpva2tLNjY2Sufj7u5ODMOQr69vmcaqzAgaz0qOqqoq\nbGxscPr0aYjFYlhbW/Pq7e3tsWzZsmLtOz8Ga2trrF27FgEBATA1NYW+vj5P65WXl4dOnTph4MCB\nuH79OoKDg9G+fXv07Nmz1L4bNmwIf39/zJo1C6mpqfjxxx+hqamJlJQU7NmzBx4eHpg8eTKaNGkC\nExMTTJkyBffv34eWlhaio6Px8uVLMAyDvxkGeQUFqALpVldPAO0AjIY0nNLvkIZXelX8VDhmALgO\nYCmkW1+tdXURFhaGFy9e4OLFi9ixYwdq1apVpuD3vXr1gpOTE2bPno3U1FQunNLevXsxadIknt2r\nm5sbAgMD4e7ujtatW+PUqVO4detWsaYQqamp+OGHH9C1a1ecPXsWkZGRGDZsGCwtLcuwyvfD398f\n+vr6GDVqFBYvXoz27dujb9++UFNTw99//426det+Ew4RMo3np9J0ODg4ICEhAcHBwfDx8eGCz48Z\nMwYODg6IioriApAD/Hi+RR3YPiaRxKdEVVUVOjo6EIlK/9nS1dVFkyZNyrTdWhK5ubnYvXs35s2b\nhwEDBmDixImIiYnB4MGDoampie+++w7fffcdp0G+ffs27ty5gwsXLuDChQvYt28fbt++DQA4f/48\nmjdvjs6dO6NRo0bIysqCBsuivxITCd2PmHM/AJMK4wivWrWq2HYODg6Ij49HSkoK9PT0eHX37t3D\n6dOnsWPHDtSvXx/Lly/H+fPneVq+0pg+fTqOHTuGHTt2YMGCBaXu/hgZGaFt27YICQnBjBkzSkxG\nsXjxYmRnZ2PTpk3Q19dXqGdZ9ouyJ2dZFkFBQTh+/Dh+++03TJ8+/YsN6fU5EGw8vwEcHBzAMAxa\nt26tYBjfrl07MAwDLS0ttGjRQuHc4vJul5aPGwDmzp2L7t2749dff8WQIUOwYMEC3vm///47zM3N\nMW/ePGzevBlDhw7Fnj38kO0ljfPLL78gOjoaKioqmD9/PqZNm4Z9+/aha9eunD2aSCTCvn37YGVl\nhcDAQMyfPx9mZmbYvHkzGIZBVkEBdhb29z2AHQAKAMyCNHh8GABrlC1XOwMgHMBEABJIt7Q9PDzg\n7++Pu3fvYtGiRbhx4waqVq1a6voYhsHevXsxceJE7N+/H5MmTcL169exdOlSLF26VOE6u7m5ITo6\nGr/88gvnTa+sb4ZhEBUVBTU1NcycORMHDx7EhAkTEBoaWoYVll1wYhiGM3GYOXMmFi5ciI0bNyI3\nNxc+Pj6YN28e7t69i06dOpWpv68dmU3yp9xik0VBuHnzJnr16oWxY8fC1tYW9erVw9u3bxEfH8+1\nVRbPV0Zx8Xzfvn3LiyAhO4qaeZQXWVlZ3Bi3bt2Cr68vrl27Vqb0rPn5+bh//36x2bHk+5Y/ihIT\nE4PXr19j8ODBqFWrFhwdHREZGVnsuFpaWnB0dMTUqVOxbds2JCcn4/nz51ixYgUYhkFeXh727NnD\n2QRqFBTgddkuR5lRQ9niCMtMGpRdo61bt6JatWro0aMHbGxsYGJiUuK6i2P48OEoKCjA4cOHy9R+\n9uzZePv2LQIDA0tst3//fpiamio1l/hSEYlEGDx4MLKyshSSt3xzVLTKVUCgIunq7EyGIhFve/1j\njozCuHpdnZ0remkKyLbA5bf6PyXDhw+nOnXqUE5OzmcZ70smODiYRCLRZx3zzJkz1KJFC277d/bs\n2UT0YfF8jYyMiGGYYg+WZct9q51lWd4YIpFIIa6tbG5du3bl4sv+888/NHz4cGJZliZMmFCmvmVl\nRbdte/XqRe3bt+deh4SEUJUqVRTi8Zb22Xr58iUxDMOZxKSmphIKt8irAdS90FTn4gd85xTdapeP\nI5yVlaU0/u7SpUuJZVlq0aKF0vk2b96chg8fzr2ePXs26evrK5iKlGZ+c/nyZWIYhqZMmcKVFbfV\nLjOXGD16NFWtWpX+++8/IlLcDs/MzCSGYahv375Kr7N8zOTSvns+11a7jG3bthHDMN98zFVB4ynw\nTRO0bh3SRSJMLoe+CMAUAM9EIgQVetV/q1y/fh2RkZGYPXt2mUwLKjv5+fmfPd96u3btcOHCBaxa\ntQoMw2DJkiVcjMoPiedra2uLo0ePKkSRKKqBLy/mzZvHjbF9+3a4uLhg1qxZWL16tULb2NhYLr6s\npaUlIiIiMGrUKCxZsqTUvuWjYchnhXr+/DliY2MxZMgQrqxfv34AgO3bt7/XWmTONVlZWQDeOQPO\nB9AK0qxpPpDurlhDarLzMcjiCMuyihWNvztt2jQ4ODgo7DABwNWrV5GYmMhbt4uLC9LT0xVSJZdG\n0XWXBR8fnxK1npmZmby+5XF0dOTWqaenh6CgoPea76fmQ65HZUSw8RT4pjE2NsaK1avh7u4OQ3xY\nHD1AKnT6AwgFEPr77998+rr58+ejbt26QjzBQgoKCj4qhueHItt+379/P44fPw4PDw/Ur18fOjo6\n7x3PV1dXV2lkAhUVlU8SWs3CwoILCQQA/fv3x8uXLzFjxgwMGTKEF7vU1tYWAQEBkEgk+Oeff+Dv\n748XL17w4vmW1Lcytm3bBolEgpYtW3J2mkSEtm3bIjIykudZXxqvXkmtxDU1pRF/ZWGMfoD0O+cV\ngHhITXsiAfSGNDRbaUHki0NmPSgbRz7+7v3797FkyRI8efJEqZ1hREQEqlWrBiMjI27dampqMDQ0\nRGRkJLp161bmeRRdd1kwNjbG8OHDsX79esyYMUOhXtaXrG951q9fj6ysLDx+/BjDhg0r85ifiw+5\nHpURQeMp8M3j5uYGf39/zAHgDuB9n0UzAYwFMBfSDCTfurCVlJSEbdu2Yfbs2bysUd8yMhvPiqJT\np06QSCQIDw/n7BvHjh2L9PT0Msfz/RLo1KkTcnNz8b///Y9XLhOKnZ2dMWnSJGzZsgW7d+/GypUr\nP3gsWcxQe3t7NGrUCI0aNULjxo0RFxeHc+fOlSnhggyZDa3MwUb2ucgurK8GaZa0LQBGArgNqSD6\nocjiCMvGkY+/O2LECBw5cgSPHj2Ch4eHwrnbtm3D69evYW5uzlt3WloaYmJikJ2drXBOcRRdd1mR\n2XouXrxYoU5LSwu1a9fm2SXLsLGxQceOHWFvb//Z4ky/D4mJiR8VZq+yIAieAgKQftGFhITgD7EY\nFiIRtgIoLWHeGwBbAViKRPhDLEZoaChmzZr16Sf7gcybNw/5+fm87cRPgZ+fHxo0aIBRo0Z90nG+\nJipiq10emQbz1atXqFatGvr06YPt27fDzMwMFy9e5MXz/dK82eWRSCQAlGu75OnevTs6dOiAhQsX\nIicnp8S2yrhz5w7Onj0Lb29v7Ny5k3dERUVBVVVVaTD74pA5M37/vTQ6p6mpKRiGQZKStjJ3mUfv\nPet3lBZH2MDAAJMmTcLevXt5QvyJEydw//59LFiwQGHd69evR3Z2ttLt+eLYvHkzWJaFs7Pze82/\nYcOGGDZsGNatW4dHjxSvRI8ePZCcnPxVpY2VSCTYtm0btLS03is6QGVEEDwFBApxc3NDYlISzJ2c\nMBRAfZEI4wBshFT7cLXw70YA4wA0EIkwFIC5kxMSk5K+eU0nIH2i3759O3x8fIrd5vwWqaitdhmt\nW7eGmpoaIiMj8fDhQ0yfPh03btxA7969MX78eLAsy4WoKe+wauXJ3r17AUBpBI6i/PLLL0hPT0dI\nSMh7jxMREQGGYTBt2jT07duXd/Tv3x8dOnQos5f31q1bsWHDBtjb23OmCioqKmhQpw7+VtL+QOFf\ns/ee9TsuAGhiYlJipjBvb2+oq6vzbCll2+xTp05VWPeYMWNgampa5nUHBgbi8OHDGDx4MExMTN57\nDT4+PsjLy8OSJUsUokHIwhGNHj0aT548UTj3fTK3fQ7y8/Px008/ITU1FVOmTPnm7d4FG08BATmM\njY1x8NAhJCUlYe3atThy8CDW3r7N27ZhGAZNTEwwqFs3eHp6cvnTBQBfX18YGxtj5MiRFT2VL4qK\n1ngqi+erqqqKTZs2wd3dHT/++COuXr0KhmHQrFmzchnzY7c6T506xWkrnz9/jpiYGJw+fRouLi5c\nppiS6Nq1KywsLLB8+XJ4eXnxBH/5vuVp3rw5LC0tERkZiZYtW/IyDcnTu3dveHt74/Lly2jZsiUA\n6Xp37NiBatWqIS8vDw8ePEBsbCzi4uJgZWXFc0jKzs5G2oMHCAGgB8AIwEtIQ7idAdAHQOmitXLe\nAIgWiTCoFFvMGjVqYNSoUQgODsaNGzdgbGyMXbt2wdnZudiHxt69e2PVqlVIT0+Hrq402qhEIuGE\n0dzcXKSlpeHPP/9EYmIiOnXqxKUvfl9kWs/w8HAFwdPU1BRbt27FkCFDYGZmxmUuIiKkpqZi69at\nUFFRQb169co01s6dO7mscPK4uroWew8Ux/Pnz7nr8fr1a9y6dQvR0dFIS0uDq6srl1Hqm6bC/OkF\nBL4SsrKy6NKlS3T+/Hm6dOkSZWVlVfSUvkguXbpEAGjTpk0VPZUvjoULF5Kenl6FzmHWrFnEsiwv\nPJCMnTt3EsMwBIB0dHRo7dq1JJFIuHpjY2Pq3bu30n5PnDjxQeGUGjZsWGJ/8odYLCZzc3MKDAzk\nzau0uYWHhxPLshQeHl5s3/KHn58fXbx4kViWLTHDTFpaGrEsy4UJkoVTkh1Vq1alBg0aUO/evSk8\nPJzy8vJ450skElqwYAEBID2A1AvDKlkDtBygt+8ZTokFaH4JmYu0tLSUriMlJYVUVVVp1KhRtGvX\nLmJZlsLCwopd98mTJ3lZ7lxdXXnrrlatGjVs2JAGDBhAu3fvVtqHo6MjNW/enFdW3HuYnJxMqqqq\npKKiojTkUUpKCnl5eVHjxo2patWqpKGhQebm5uTl5VVqJjai0u+HuLg4XvszZ84Qy7IlhlOSP19L\nS4uaNGlCrq6udPLkyVLn863AEH2BFrgCAgJfHT/++COuXbuGf//9t0zZZb4lAgICsHr1avz3338V\nPZUSefLkCX755ReEhYXB2toaQUFBaNOmTUVPq9LSrUsX/Hv8OBIlEpSHn3MmpDbn5k5OOHjoUDn0\nKCBQ/gg2ngICAh9NQkICYmJiMHfuXEHoVEJFb7WXFX19fWzatAlxcXHIz8+Hra0t3N3dkZ6eXtFT\nq5QIcYQFvkW+/G9CAQGBLx5fX1+YmZnBxcWloqfyRVLRzkXvi729PS5cuIDVq1djx44daNy4Mdau\nXcvlnBcoH2RxhEMhjQP8ocjHEV4pxBEW+MIRBE8BAYGP4n//+x/27duHefPmCdrOYqjoOJ4fgoqK\nCry8vHDz5k38+OOP8PT0RNu2bXk53wU+HiGOsMC3xtf1TSggIPDFMW/ePJibm2PgwIEVPZUvlq9l\nq10Z+vr62LhxI5dOU9h+L3++hTjCAgIyvs5vQgEBgS+Cc+fO4a+//sK8efO+qq3kz83XttWuDDs7\nO1y4cAFr1qzBzp07he33ckaIIyzwrSB4tQsICJTIq1evkJycjDdv3kBNTQ2mpqZcYOouXbrg0aNH\nuHLlyler0fscTJ8+HXv27MHNmzcreirlwpMnTzBz5kxs3LgRrVq1QlBQENq2bVvR06o0yMcRvl5M\nHOHOQhxhga8UQfAUEBBQQPbDd/jAAdxISVH44TNr2BDNWrZEdHQ0oqOj0bdv3wqc7ZfP1KlTsX//\nfqVBqr9mzp07By8vL1y6dAljxozBokWLoKenV9HTqlSU9OAnIPA1IgieAgICHKmpqRjn4YG/Dh+G\nvkiEfhIJbACYA6gKIBtAEoC/AWwH8AzA987OCF63TvCkLYHJkycjNjYW165dq+iplDv5+flYt24d\nZs+eDYZhsHDhQri7u3+0aYEgcAkIVE6EvTEBAQEAQGhoKCzNzfHv8eOIBHBPIkEQgFEA2gKwLPw7\nCkAQgIcAIgH8e/w4LM3NERoaWlFT/+L5mp2LSkNFRQXjxo3DzZs30adPH3h6eqJNmzYf5P2elJSE\nCRMmoKmpKbS0tGBlZQVbW1tYWVlBS0sLTU1NMWHCBCQlJX2ClQgICHwOKuc3oYCAwHsREBAAd3d3\nuOTmIlEiwRAAyrM1v6MKgCEA/pFI4JKbC3d3dwQEBHz6yX6FVAbnotLQ09PDhg0bcPbsWRARbG1t\n4ebmhqdPn5Z6bmpqKrp16YJmzZohKjgYTrdvYwMRzkPqVHMewAYiON2+jajgYDRr1gzdunRBamrq\np16WgIBAOSMIngIC3zihoaHw8fHBAgAhwHun7tMsPG8+AB8fH2zYsKG8p/jV8zXG8fxQ7Ozs8Pff\nfyMoKAjR0dEwMzNDcHBwsd7v76tpvyeRIBJAkqBpFxD4OqmgHPFfNNu3byeGYWjPnj0Kdc2bNyeG\nYejEiRMKdfXr16d27dpxrw0NDalXr15Kxzhx4gQxDEPR0dFcWVhYGDEMQwkJCXTnzh1iGKbUg2VZ\nSktL4/qTP2rUqEG2trYUGRmpML6hoSGvrYaGBrVp04Y2b95c7FyLGz8qKkrhnPz8fKpduzYxDEN/\n/fWX0mvg6+vL66tq1arUoEED6tWrF23atInevHmj9LyiyF+3on0bGBhQTk6O0vXL3htXV9cyXetR\no0YREVGHDh2KbdO0aVOFeckOkUhEdbfIwuAAACAASURBVOvWJVdXV3rw4IHCnGT99u7dW6FOdj8s\nW7ZM6TU4cOAAMQxDdevWVajz8fEpcV2QJj4hZ4AIoKEAaRf+X/QIA6g9QNUBqgpQc4D8AcoGqAAg\nN4A0xGJKSUmhdu3aEcMw1LdvX4U5JScnE8MwtHLlSqXr+fPPP4lhGGrQoIHSeiKiunXrUp8+fYqt\nL4pEIinzZyouLo6bo3x5jRo1qEePHhQfH1/iWJMmTSKGYWjYsGFEROTh4UHW1tYK65cdqqqqpKur\nS/b29jR79my6d++eQp9HjhwhhmEoJiaGKwsNDeU+v48fP1Y4p127dmRlZaVQnp+fT2FhYdS5c2fS\n1dUlVVVV0tfXp++//55CQ0MpLy+v1OtZXN9Fr4Ps/mrVqhWdO3eOhg0bRgzDkI6ODvn5+REK75vM\nwnvsX4CYwmOl3L13pLAsBiBJ4f+yvt/3vSzaRv5zJbtvZXVaWlrUpEkTGjFiBB09erTU6yIgIFAy\nQpoRJTg4OAAAzpw5gx9++IErz8rKwrVr16Cqqoq4uDh06NCBq7t//z7u37+PoUOHcmUMw5Q4jrJ6\nWZmenh4iIiJ4dUuXLsWDBw+wYsUKnpexnp4et+U0ceJEtG7dGgDw7NkzREVFYdiwYcjIyICnpydv\nHCsrK0ydOhVEhEePHiE0NBQjR45EXl6e0phw8n3LY2dnp1B27Ngx/PfffzA2NkZkZCS+//77Yq/B\n2rVroaGhgTdv3uDBgweIjY3F6NGjsWLFCuzfvx9169ZVem7RfpTx5MkTBAcHY9KkScW2/+mnn+Ds\n7My9Tk1Nxdy5czF27Fi0b9+eKzcxMeHOrV+/PgIDA3nvAwBUr15dYZwFCxbAyMgIubm5OH/+PJcL\n+59//kGVKlV4bRmGwb59+3Dp0iVYWVmVum4ZkZGRMDb+f3t3Hh/T/f0P/HVvJstIgkiQ2LKIUKIV\nW4lEElvVWsSSKbVUayuhtfRHEK2lpVTQWquWzOAjaKo+PrZaglZRtPhU6VerSCyxi4RJzu+PO/ea\n5U4yIabaz3k+HvPQ3nvnPffeuTM5836/7znB+P333/Htt9+iRYsWyroePXpYpFy5ffs2hg0bhu7d\nu+OX06dx+fRpfFRQgBB5P0wPc/kAegLYCCAWwIcAtAD2ApgMYD2AXQBmA9huNGLooEHK8aSnp+On\nn37Ciy+++ETHs2/fPjRv3txmm6I+X9ZcXFxsPlPLly/H3r17sWrVKov3smbNmrh16xYAoE+fPnjl\nlVeQn5+PM2fO4LPPPkOLFi1w5MgR1KpVy+Z1iAjr1q1DcHAw0tPT8eDBA7tD7XLbBQUFuHHjBg4f\nPoxPP/0UKSkp+PLLLxEfH+/QMT948AAff/wxZs+eXeT2OTk56Ny5M3bt2oXo6GiMGTMGFStWRHZ2\nNvbu3YshQ4bgyJEjWLhwoZ0zWfi+mPP09IQoiti+fTvGjh2Lpk2bonr16nB1dcWdO3cwefJkfAgg\nyew5egAekBKk27ym6V8XAPI7uQlAGhFeeOEFnD171qH30lqDBg0sjiswMBDTp08HEeH+/fs4e/Ys\nNm7ciNWrVyMhIQGrV6/+n+nBZqzE/YVB73MtJCSEmjRpYrFs27ZtJIoivf766/Tqq69arFuzZg2J\nokibN29WlgUFBRW7x1MURYueO3MdOnSg4OBgh9sjInr48CFVqVKFoqKiLJar7du1a9fI29ub6tSp\n41Dbhenbty81bNiQ5s+fT97e3pSTk2OzTXJyMomiSNnZ2TbrDAYDubi4UNOmTYt8LbXzJvd41q9f\nnwICAig3N9fiOYW9N0eOHCFBEGjlypWq62NjY6lu3bpPtF9ERO+//z6Jokjr16+3aTcoKIh8fX2p\nc+fOFusK6/G8f/8+eXl50YIFC6hBgwY0YMCAQvcrKyuLBEGgxMREAkB6q17N3gD5WC37wNTDNEGl\nF/QrgESAOpn+X2/WwxUSEkI+Pj7UrVs3i30orMfzzp07VKpUKVq0aBG99NJL9Pbbb6uOQlSpUoW6\ndOnyVKMQgwcPJldXVyKyvc7lfQRgMQoBB3vaUlJSLLYFoIxCzJkzx+b45VEI8+3r1q2rjEKY93jK\n+2rdPgCLUYioqCilV1IehZC3Wbhwoc35Sk5Otji2wkYhzNu2Jvf2y691+/ZtMhqN9Pnnn5Obm5vF\n/na0up6sj0fu/ZT/P920XT+VdQAoPj6eNmzYQAUFBTbXW/Xq1VU/u/n5+bR8+XKKjY0ljUZDgiBQ\nUFAQ9e/fn44cOaJsM3jwYBIEgZKSkuizzz4jQRBs/k6YEwSBhg8fbne9PZMnTyZBEFS/G2WFjZoJ\ngkAHDhxQfV6VKlVIEASb7z/zfY2NjXVodGDKlClEZDuCZv4w/1tZUqNc7O+Nf7LZERUVhWPHjiEv\n7/Hv7gMHDiA8PByvvvoqvv/+e4vt9+/fD0EQ0KxZM2fvaqFcXV3h4+PjUA1tPz8/1KpVC7/99ttT\nvWZubi42bdqEhIQEdO/eHTk5OUhPTy9WGwkJCRg4cCAOHTqEXbt2PdF+CIKASZMmISsrq8jeG2eK\njo4GEameZ29vb4waNQpff/01jh8/7lB7GzduRG5uLrp3746ePXti48aNePiwqIJ7wKFDh1BBo0F8\nEdvlQOrJrAOpp9NaZwC9AXwD4EcA3QBU0GiQmZmJMmXKIDExEZs2bcLPP//s0PFs2LABRqMR8fHx\n6NmzJ9LS0pTk5Pv377fY1mg0WoxCmJNHIcx7rUtiFGLp0qXKiEG9evVQvnx56PV6pKamIjU1FVFR\nUQgPD8dLL70EAAgODkbz5s0RFhaG5ORkuLi44N1331V9nYiICBgMBkyaNAmCIODChQvo27ev3Xmz\nrVu3hiAIGDlyJFxcXNCuXTusXr3a7ihEZmYmAKBSpUoYPHiwapuiKGLJkiVITU3FggUL8NZbb+Hm\nzZsYMGAAGjdujEuXLhV6Ds1pNBql99HFxQVDhgxBp06dLM6z0Wz770z/1oPUu9kHUs9mKoD/B9ue\neA9IPaTLALiblp07dw7x8fFo2bIl7t27Z7G92vubm5uL9u3bK6M8VatWRdWqVdG3b198//33ePnl\nl3H58mWIoogFCxYgLCwMKSkpWL16NYKDg/HDDz/g//7v/xw+J46QRwsc2U6NVquFwWCwWb53715c\nunQJHh4ehbablJSkXM+pqalITEyEIAg2y+X8vfK1a/45kB9jx4612efFixeXyPXF/p448LQjKioK\njx49skgJcuDAAURGRqJp06a4desWTp48qaw7ePAgatWqBR8fH4t2Hj16hOzsbJuHPPRT0u7evau8\nxtmzZ5GcnIxTp06hX79+RT43Pz8fFy9etDkGtbbNH9bS09Nx//599OrVCxUrVkRsbCz0en2xj6VP\nnz4gImzfvr3Yz5VFR0ejRYsWmDlzpsWPiKeVn5+vei5ycnKKfK48LcLeeU5MTISPjw+Sk5Md2heD\nwYC4uDhUqFABvXr1wp07d7B58+Yin3fu11/RzWgs8u71fQDuAHgdtn/4ZW9A6m76BlIA0M1oxK2b\nNwEAo0aNQunSpTFlyhSHj6dly5bw9fVFr169cPPmTRw7dgzBwcE2geeNGzdAROjevbvNuif5MUhW\nUyfMlSpVCjqdDo0aNQIAhIeHo3LlyvD09ERCQgJ0Oh26du2KEydOoHfv3srz/vzzT3h4eECr1SI6\nOhqbN2+Gv7+/6mtVrlwZCQkJmDJlCgIDA6HVauHl5YVPP/1UdZ9CQ0MhCAL69++P3r17Y+/evWjd\nujWqVq1qs21qaiqqVasGQRBw/fp1PHjwwO6xduvWDTqdDv3790dSUhIyMjKg1+tx8uRJdO/e3e7z\n1PaPiFBQUKAsy8vLAxEhCNL1lGW2vRwqyZMyGkLKnKAD0FKlfQ2ABABvAoiS2zAY8NFHH2HPnj14\n6623LLbPz8+H0Wi0+My+88472LZtG1JSUrB7925UrlwZvr6+ynfnzJkzlee7uLggISEB9+/fx/ff\nf485c+bAz8/vib7fSoK967Vdu3ZYv369xXkHpHPTsGFD+Pv7F9puy5YtodPplIc8/axVq1YWy8PD\nw5XnyNeu+XqdTofY2Fib9kvq+mJ/Txx42hEVFQUiUv6Y5efn49ChQ4iKikJISAgqVqyorLt37x5+\n/vln5cNpbtu2bShfvrzNo0uXLsWeo+aIAQMGKK9Rs2ZNTJs2DdOmTUPfvn1ttjUPik+dOoX+/fvj\nypUrdj/45m3LjwoVKuDq1asW2+n1ekRGRqJSpUoAgF69emH79u2qQWph5C+1p+2BnTx5MrKysrBo\n0aKnasfcf//7X9VzMXr0aJttb9++jezsbFy6dAkbNmzABx98AK1Wiw4dOqi27eXlhZEjR2Lz5s1F\n9npeu3YNO3fuREJCAgCpt6Zp06YO/SG8fuMGGjlwrKchBQiFzdB8yfSvXJenIYAHubkoKChA6dKl\nMWLECHz11VcWP9bUZGVl4dtvv1WOJzg4GI0bN4Zer1cdhcjOznbKKMStW7dw9epVZGRk4M0334Qg\nCKqfk/T0dNy7dw8RERGYN28eAKlXdvv27Thx4gQiIiLg6+uLG6bPQlZWlk0bsvDwcFy9ehVhYWEO\nfQaSkpKQl5dnESjJ5FGIwMBACIKAhw8fWoxCyN8FOTk5ICLVH8bFHYUQBEH5DH/77bfK8jNnzgAA\nhkGaJyz3b+VDmiv8pOQ5ygsXLsTYsWPRpk0brF+/HufOnVO2OX/+vM1n94svvkCTJk0wfPhw1WN4\n9913le8yQHpfiAienp5o37494uPj/7LAU40gCEhISEB2djZ27NihLH/06BHS0tKg0+kK/YH1VymJ\nUS7298CBpx0vvPACfH19leDy+PHjyMnJQWRkJAAgMjJSGdo7ePAg8vPzVQPPJk2aYNeuXdi5c6fF\n45NPPnkm+z158mTlNf71r38hISEB48ePx/z58222NQ+K69ati9TUVPTv31/1D5d12/Jjx44dKFeu\nnLLNjRs3sG3bNuh0OmVZt27dAAD/+te/inUscpWSu3fvFut51qKjoxEXF1eivZ7BwcE27+uOHTsw\ncuRIi+2ICC1btkT58uVRtWpVdO/eHV5eXvj6668t/phZS0xMRNmyZYvsJVyzZg1cXFwsSlYmJCRg\n69atuH37dpHHUbvILQD57BeWZkled8f0bx3Tv/L5HjVqFLy9vYs8HoPBADc3N7z22mvKsoSEBHzz\nzTdo2LChzShEdnb2U41C5ObmKu3YG4UgIrRq1Qr+/v6IiYnBuXPnkJKSgo4dO9psu2zZMpT29kbr\n1q3xrSmwC4R0nvdBqvbUkQgPHz0CAMyYMcNuPkr5+v/zzz/t9o7L+3/r1i34+PigW7duWLhwoU3u\nTHkUIiAgAABsfpx8/fXXKF++PGbOnAkisrjZxlxxRyHkm+3S0tKUZX9euABAmp7hCeA6pApYOwDI\ney1/Su+b1mXj8bVljwukP2g7t25V9rWgoMAi+KpUqRKCg4OVz+yoUaMgCILqzZT2eHl5gYgQHh4O\njUaDhIQEnD17FkePHnW4jWctKCgITZo0wZo1a5Rl//73v3Hnzh306tXrmbymvdE9+Rp1REmMcrHn\nH9/VXojIyEhkZGQAkIbZK1SooJQFjIyMxGeffaasEwRBNfD08/NDXFyczXIXF5dn8qszPDzc4o7m\n+Ph43Lp1C++//z50Oh18fX2VdU2aNMG0adNgNBpx8uRJTJ06FTdv3rS407qwttWsXbsWRqMR9erV\nU3ppiAgvv/wy9Hq9xZ31RZHnZ3l7FzezpK3k5GTExMRg0aJFSExMfOr2PD09Vd9Xa4Ig4PPPP0eN\nGjVw+/ZtLF++HPv27bN7jmWlS5fGyJEjkZycjBMnTqBs2bKq2+n1ejRu3BjXr1/H9evXAQD16tVD\nXl4e1q9fj4EDBxb6OqWKPILHQWVh4b91cKo1/SsP9ZUtWxYjRozAtGnTcPLkSWi1WusmAEjH07Rp\nU1y9elXpSY+IiEBubi7u3r2rjELId7nfuHHDZhQiPDxcGYVQCyjkH1zA46FK+f/tjUJ8/vnnqFq1\nKnbt2oUFCxao5qRMSUnBzp07UVoQMAeAb34++gK4AGkaQnNIPccuAEZDmjfbG8BeUz5KD09P5Y83\nAGRmZoKIcO3aNdXeOABYsWIFiAgxMTEQBEE5nuTkZOX7ST6vkZGRqFixIgDglVdewdSpU5GdnQ1f\nX1/ExMRg586dWLlyJVatWqX6WsCTjUIIgoAtW7YgLy8PDx8+xIPcXIgA/CFdfzcBrIOUJL4pgIOQ\nAnQCMB7ABIdfSTq/v/z2G+7du6e6r6VKlYJWq1W+x7Zs2QJBEJTpE444ceIEgMfZPKKiolC5cmXo\n9Xq7AftfQafTYfz48UrJUYPBgJiYmCKH2Z+U+edKJggCZsyYYTPP056SGuVizzfu8SxEVFQUbt++\njZ9//hkHDx5UejsBKfD8448/kJmZiQMHDqBSpUoICgr663a2EC1btkRubi5++OEHi+VyUNy6dWuM\nGjUKq1evxqZNm5CSkvLEryVPaI+MjESNGjVQo0YNhIWF4cCBA/juu+/w+++/O9yW3HsVGhr6xPsj\ni46ORmxsLGbOnFmsX+AloVGjRmjRogW6dOmC9PR01KlTBzqdrsj5oImJiShTpozdXsJz587h8OHD\n2L9/v3Kua9SogejoaAiC4NDwX9EzUoEXIAUBPxWyjbxO7kGVZw+ap5wZNWoUvLy88MEHH6i28csv\nv+DYsWPYs2ePxfHExsZCEATs3r3bYhTi0aNHyM/Pf6pRiI4dO0Kj0RQ6CiEIAho3boz27dtjzpw5\neOeddzB69GglAAGkyk9yb/c9IrwHoJ9ZGyKAAZACqgQA8is1xOPKT9nZ2RajEHv37gURYcCAAXZH\nITp27KjcDLRz507s2rULrVu3xqpVq5Rez/z8fGUUQk7/VKVKFQCPRyH8/PzQokULhISEqL6O7ElG\nIQRBQE5ODr755hvlBjP5Z5cAKQD9EsBXkOZyAkAr07phAHaaHupnwOq1IP2YOHfunEP7eueO1I9a\nnB+3mzZtAiDNo5T17NkTa9eufa6GsHv06KGc93v37uGbb76xSPdX0tRG93bs2KFMm3FESY1ysecb\n93gWQv6jlZGRgQMHDljkgmzQoAHc3d2xe/duHDp0CO3bt/+rdrNIRqN036j1HZ7W2rVrh5iYGEyf\nPh2DBg2y2ytlz++//46DBw9ixIgRNnkXCwoK0Lt3bxgMBowfP96h9latWgVBEOzmAC2u5ORkxMXF\nYfHixSXS3pMQRREzZsxAXFwcFixYUGhPgNzrOWXKFLzxxhs261NTU+Hm5obU1FSbnIIZGRmYP38+\nLl68qAQZak5DqgpTmOaQejL1AN63s81KSH/05Vmrp0z/uru7K9vIvZ7Tp0+3mIphfjzu7u5ITU21\n6Xncs2cPFi5ciBYtWihzOeWenKcZhVi/fj0EQUCLFi0cHoWYOHEivvjiC0ycOBGA9EcyKSkJgQDK\n4XFOylMAJkHq3TwK6Y7tLwDEQ5rX+C2koWS58lMagFtEGD16NAICAjB69Gi4ubkVOgoh57h9+eWX\nlTypVatWRZ06dZRg9ebNm8ooRF5eHgRBgMFgeOpRCEdupJPFxsbCYDAoPVqu5scA4AfTsh4A3gEQ\nYFoXBkAeYylOSCcfp7yv9pQuXRqA44HOo0ePcPjwYbi6uiIgIEDpmWvcuDFmz56NXbt2oVWrVsXY\n02fHz88PrVq1gsFgwP3791FQUGCTF7akX8+RUaDClOQoF3uOOSNn09/Vw4cPSavVUmRkJImiSN99\n953F+sjISGXd/PnzbZ7/POTxJJIq4oiiSGfOnCly37Zu3WqTX9DRPJ4ffvghiaJIFy9eVF3fpk0b\nql27tvL/ck43ADZVovR6vZKXr6j8jCtWrCAAFB0dbdG2nCPUfP/j4uIoICCAypQpY5OfUX4A6nka\n5SpR9erVs1mnViVKfj/9/f0ttvX09CRPT08qW7asRd662NhYCgkJsbsvAKhPnz7K9jVq1KBWrVqp\nVom6dOkSiaJIM2fOtDjX5m2KokiBAH0JUF4ReTynmHJ1djTlTTxqtq6XqT13gB6Ylg0BSOvhQRER\nERa5M1evXk0AqFq1akquS1lISAi1bduWtm/fToIgKJ+pvn372uZ2NDsO2cGDB0kQBOrRowdptVoC\nQP7+/tS8eXOaPHkyERH5+flZvHfW77P838HBwXTu3DmLc2V+Xb/33nskiiI1aNDAIt/kx6bj/90s\nv6R1nkkBoBam/x4EUIxpmRagagBp3dwoMDCQtFotTZs2jQBQ586daefOnarHb30MoihSZGQkeXp6\nUs2aNcnT05NEUbR7TZUrV47c3NyoUqVKVKdOHQJAZcuWtfi8XbhwgQYNGqTkAS1VqhT5+vpSWFiY\nzWfTPMdobGwsiaJIS5YsIQ8PD3rxxRcJALmYjtkVoA6Qql8tASjQat+8IFXK2gSpcpFolcfTG6AI\nU1sxAGlMzzt27BilpqYq1aPk9oKDgy3yeC5ZsoQAUGBgIBERZWRkKNeNtfz8fAoLC1P9bpDPe79+\n/WjChAkkCALdvn3bbh7PwqpQCYJAAwcOtMlxXFBQoHzOu3TpopxnOcftqFGjlO/Cor7PAFCtWrWI\nSKoApvZZMM/1mZaWZrNOzsHZqVMn8vPzo/bt29scp7XCcjcTEe3fv58EQaBx48YV2Rb7++Iez0K4\nurqiUaNGyMjIgIeHh838ncjISMyePdtuz8qToKccqtm3b5+SJuXGjRtIT09HRkYGEhISEBYWVuTz\n27Zti/DwcMyZMwfDhg2zqLZi3ra5F198EXXr1oVer0e9evXsVhrq1KkThg8fjuPHj6NevXoW65Ys\nWYIbN24olYvkIVNHq0QVRe79mDx5ss2vcusqUefPn0dSUhK8vb2xePFimypRsldeeUUZmrx79y6+\n//57vP766xZVoohItUrUnDlzcPnyZQwcOFB1Tp15lagNGzYow3vydI5Dhw7h3LlzGDFihGqVqEqV\nKqF+/frQ6/UYM2aMcg4WLVoEo9GIYcOGoXLlyrj8558YAGAugC2Qep/UTABwAlKVGAKwFlIv3j5I\n8/MA4CGAhQCGAtig0aCs6YYY897LHj16YODAgbhw4YJFL+2BAwdw/vx5jBkzBgaDQblpQ36+VqtF\nhQoV8PDhQ2RlZaFv375YtWoVvL29MW3aNABSlSoiwtdff41Hjx6hUaNG6Ny5M3788UfMnDkTycnJ\ncHd3V94LQKpctGvXLjRv3hzR0dGYOnUqEhMTba4RNzc3rFmzRnneyJEjMW/ePGW4XT5C29uNgERI\n0xWGAngFUlqq3ZB6PP+LxzfUPIA09SH34UNcvHgRaWlpiIiIwIQJE7Bz5068/fbbEAQBo0aNQqlS\npTB16lTUqFEDZ8+exbhx4ywqQ/n7++OVV17Br7/+CiJCYmKiMgqRm5uLd955BzdN6a58fX3RpUsX\nXLp0CXv27FGWmb837dq1gyiKqFatGrKysqDT6aDX65GdnY2OHTuiSZMmyvbnz59XPjNyj2CHDh0w\ncuRIZfpMPqT5nY9M506exznd9G80gP2QUiidAtDVdB6tvx3zARwHEAzgrGm9IAgIDQ3FuHHjIIoi\natd+fAvdlStX8OjRI2UaijztRp6WEBUVhYoVK+LKlSv45JNPEBAQgJycHJw9exbr1q1Trtv1623v\nv5c/p0OGDHnqHJxqOW/lz3lROTgFU7W04OBg5OXl4e2334bRaESPHj2USnyJiYnKXE9BENCwYUMc\nPnwYbdq0sciAYj1aIggClixZAq1Wi7y8PFy8eBH/+c9/cP36dWRkZCAzM1O5ge1JlPQoF3tO/YVB\n79/C+PHjSRRFi9402aZNm0gURSpbtqxFlQxZcHCwat1tIqlXQBTFYvd4hoSEFNqe+cPDw4Nq165N\nH330ERmNRof3beXKlSSKolK5R61t88eUKVPoxx9/JFEUKTk5WbVNIqI//viDRFGk9957j4ge//qF\n6Ze2+S/o0aNHkyAIDlWJKk6PJ9HjqhwAVM/1kSNHCAD5+fmpHofc46l2LgAoVaLk9zMgIMCmd/nq\n1askCAK5ubkp105sbCxVr17dpnf51q1b5OPjQ6Io0pw5c4iIaMSIESSKIp0/f95ulagpU6aQKIr0\n888/W5yPrKwsEkWRRo4cSQBomKkHqqlZj2c5qx5P+fGmWU+UXKu9pWlZfYACINVzB6TKRfXr17fp\nXe/Tp49y/uQez6FDh5KLiwudO3eOypYta9F70q9fP/L29qaJEyeSKIrk7u5OkZGRNu+Bde+O+SjE\ntWvXiMi2p3/w4MEEgPr3769auUhuq2XLllS/fn2L97BTp04EgNxM25QxO0+/m/V0bjAtiwaoMqSa\n9o1N60SrHj5XgLqY/vv06dMW1ZKGDh1KoihaVC6Sz4Pc021OrokOwKK3dtasWQSA2rZtS+XKlSMX\nFxdyc3OjihUrUvXq1S3au3nzJvn7+1NAQADNnTuXXFxclOtbfm21z4L18tu3b9OqVavogw8+IHdT\n5aLmpuM1r1wUZHreG6ZzkwJQlul6q6rS4+lmOqdpZufzhdBQmjFjhvL9sWzZMpteXrV9la+XJk2a\nWGzn4eFBoaGhVKlSJQJAvXv3Vv1ekHvcu3btqhzzk/R4xsfHk5eXl03logEDBlDTpk2patWqhfZ4\nWv8NGTp0KAmCQLt371aWmX8O5Apg9vaV6HGPp3xc1uSRBOsKedYK6/HU6/UW1xf75+LAk/3l3njj\nDXJ3d7coazlp0iR68cUXKTU1lXx8fCy2HzZsGLm4uNCNGzeUZc/LtIa6detSbGysxTJ7+9aoUSPy\n8PBwuG01Dx48oNKlS9Ps2bMpKyuLXFxcaM2aNTbb2fvCb9u6NQVqNDTA9Ed7p52AU36sMG1nPtSe\nbFr2lSnYKiuK1LZ1a7vHLx/jf5JO6gAAEvZJREFUp59+arOfaWlpJAgCGQwGZZkceMqaN29OgiCQ\nVqulhw8fPj6Wtm2pTJkyyrDnsWPHbNpXey+8vLxUA08iotdee40A0KxZs0gQBIvpKm+++SYBoPKm\n4x5uJ/BMBCjV9JhnCtRFgF43bRsLUF2Aypq2PwRQBY2Ghg8frgSe/v7+FBgYqPyAlPc1OjqaBEGg\nuXPnUmpqqvL46aefiIioVq1aFgHzgwcPyNfXl+rUqUMFBQW0YMECEgRBOVfylIxFixZRamoqdevW\njQRBoLCwMBIEqQTt5cuXlfbOnz9PGo3G4seh+VC7p6cnLVq0yOJ8+/r6klYQKKaQwPMVs3OWClCI\nadsdZtv2M53jtpCmi2hN2/j5+ZEoitSqVSu6d+8eLVu2TPmRLwiCzQ/KyMhI8vb2JlEUKS4ujmbP\nnk2DBg0iAFS5cmXSaDS0ePFi5ZjMyyKbKygooAoVKlBYWJhF4Nm0aVOaOnWqxaN///6qgacoirRx\n40Yl8B0/fjxNnTqVkpOTycPDgzp06EBlypQpNPAUBMHie23t2rUkiqJFCc2SDjzlUr+CINCECRMs\nrkXzaVTW19fy5cvpww8/pKioKNXri/0z8VA7+8tFRUUhNTUVhw4dUoYD1apEyTcmFJWf0dqzrhIF\nSNMa9Ho9Tp06heXLlxf5XEerRFkzHwIF7FeJcjRX3+eLF6Nu7dq4ajSCAGyHeoUYR0RBuikks6AA\nn5qSp6tp3rw5qlSpAoPBYJP31GAwwNPTUxkSNCefj/r16yMjIwMvvfQScnNz4eoq3aoSGBiInTt3\nApBuGpFLVpoTiihFaG9d/fr1lX2WK0pt/uoriAC8IOWiVG0PgPmZcIOU13MqAOvbyspAutloOqTK\nTzu3bsV7770HAIiLi8O6deug1+uVG80EQcD+/ftBREo+StnkyZNhNBrx66+/YtKkScry/fv348aN\nG3j33XchCAI6duyIESNGIDU1VZn+IggChg4darFvYWFhmDBhAhISEpTzDUhTP6KiovDtt98qN3uZ\nn8vmzZtjzZo1GDRoEAApFdHNmzdRQAS57ITaGd9hegCPuylhOjfyrTtXTMu3QbpuAaAA0o2fgwcP\ntsgFC0jZMSpUqIBr167h2rVryrQZURQRGhqK4cOHY+XKlZg6dSpycnLg4eGB7OxspKen46233kK5\ncuWQm5tr9+YhQRDQvn17i6kzgiDg0KFDFrlnARQ6pap69eqoXLkyLl26hI8++kjZnoiwZcsWi+eq\nXa+ODvObbyeX2M01ZVeQeXp6Fjm0L5OriE2bNs1iGk1gYKDF59n8+vLw8ICfnx/q1auHFStW2Fxf\n7B/qr4x6GSMiOn36NAmCQNOmTSMiIqPRSF5eXpSamkpERP7+/rRw4UIiIrp79y5pNBoaNGiQRRtB\nQUE2k/2tJ/6XdI+n+Q0bgiCQRqOhGTNm2GwfFBREbdu2pevXr9P169fp5MmT1KdPHxJFkUaMGOFQ\n2/KyK1euWGzfsWNHiykGS5cuJTc3N7p+/brFdoUNcS1dulS6cQCgbk/R4/k+Ht+cMHfuXIvjt+5l\nHDt2LImiSGfPnlWW3blzh7Rarc1QZr9+/ey+r+Y9badOnSJPT08SBIEiIiJo5MiRlJ6erkw9sEfu\n8VRjft7GjBmj3Exz584dZbiYCunxFE3/mj9EU6+mvG2sqceTAPrAtH6y6TyeOnWKBEGg2bNnq+7f\nJ598otz05oh58+Ypw/WO8PHxoYiIiEK3SUxMJFEU6eTJk0Rk2Wu/ZcsWixuzxowZQ6GhodS2dWty\nFwSqY3V9BZl6MK+bHicg3bwmAjTSatvBpp5QAug2QOVNw+anTp2y2D+5J/HEiRN09uxZ0mg0NHr0\naGV9VFSU6jGeP3+ePD09ydfXlzw8PCx6uwuTlJRkt2dQZm+oXd7PlJQU8vHxUXr0u3btSm3btiWi\nxz2UMqPRqPR4qlHr8TRXpUoVu9835tddUcd1/fp1EgSBevbsafe4GSMi4jye7C/HVaIKb/tZV4ka\nOHAgPvjgAxCkJN7FzaCXByni/AhSPktHqkT17t0bRKTkfQWk6jZ5eXmqN41ptVrV91buEQKA2rVr\n4/jx4+jTpw/++OMPzJs3D6+99hoqVqyIZcuWFfOobOl0OqVCjXwTTs8invM2HuehlB87YL9iVCKA\nsgD2QOrlKk7eW0cUN2/l3bt3i9xWXi+3ba5NmzYoV64c1q5dCwBYt24ddDodPl+8GI8EAZdV2tsG\noLzpUQ/ABgBvQLq+ZEZI6acSIF177wG47+oKX1/fQvPXhoaGQqfTYdGiRTbVnawFBQUhKSkJN2/e\nxNixYx26ObOk9OzZE3fv3lWqDf373/9WTUFWUiIjI1VzcPbo0cPhNjgHJ3MUD7Wz5wJXiSq8bTUl\nWSVqxIgRUk17QUC4KGKG0Yh4PE70rSYPUlDwuSiCCgowd+5cJCYmIjo6usgqUXXr1kV4eDjWrFmj\nDAUbDAb4+fmhTZs2Ntu7uLg4lCMwNDQUK1euBBHh9OnT+OabbzBz5kwMGjQIISEhRZ7TwtSrVw+1\natWCwWBQ/rhGF/GcGnich9IRpQGMBJBs+n95CLSkFDdvpbe3d5HbyuvVAlSNRoPu3bvDYDCgUaNG\n+PPPP6HT6RAcHIwaNWrgzJkzmIrHuU8BoAmAaab/LgUpI0Bpq3b/DamMZkMA7wJYBmDapEk4fvw4\nDAaDkulAzcSJE2EwGDBz5kzMmjWr0GNr1KhRoSVEn5WKFSsiLi4OBoMB2dnZEEXRoixuSStfvjzn\n4GROwz2e7LnAVaKK71lUiRr41luoHReH1wFU1WgwFMByAIcgVSf6DVIP0wwA1TQavA6gfFAQRFFE\nnz59ADheJap379749ddf8eOPP+LKlSvYs2cPevbsaZMM/0kIgoA6depg3Lhx2LhxI4jIoUpORdHp\ndFi7dq1S/9vxFOqOS4Q0bxRAkaVVi6tWrVogItV0PWpeeOEFnDlzBo9MteXVnDhxAq6urqhRo4bq\nep1Oh2PHjiE5ORn16tVDzZo1AQABAQGoWLEiJgJ4C4972v0AxJkeL8M26AQAA6S5oV0gpQITBAFJ\nSUnYsGEDLly4oIyQqAkNDUVCQoJDvZ5/JZ1Oh82bN2Pp0qVo3749PD09/+pdKlRJVppj/2wceLLn\ngnWVqGbNminrrKtEma973jxJlSi13KhFkatEDR8+HGlpaRaPdevWwdXV1WIYuyhy/ryePXti6/bt\nOHXqFHoOGYI9oaEYKAhoAuAlAB9CCjyPVKmCnkOG4PTp0+itUlUpOTkZWVlZhVaJkvN0GgwGrFu3\nDgUFBc+kpJ+cDzUzM/Op29LpdMjMzMSFCxcASJWfSlppSEEXANy+fbtE246KioKPjw/WrFnj0ChA\nhw4dkJubq5q3EpCuw/3796Nly5YWNxZZv2a1atWwd+9em/e3QoUKWLp0KdZ4eCBco8F9SDcIFSYb\nUnlND0GAu6srhgwZolz769evR/ny5Yv8kTFx4kTk5eXZneryPJB7OH/44YdnOsxeUjgHJ3MUD7Wz\n50LDhg3h7u4OvV6Py5cvW/R4urm5ISIiAp999hlycnJKLFn/s7B582YAUL2j2tq4cePQrl07LF26\nFCNGjCjW68hlJceMGaOasH/p0qXQ6/UOlSc1GAz44osvEBkZqQy31a5dG/NMd6bfu3cP586dQ15e\nHrZt24YpU6ZgQ3o66tevb7fN5s2bIyYmBh9//LHdAKdq1aqIjo7G2rVrUalSJQQHB+Pll4sq4Gnf\n/v370aRJE2g0ll9rW7ZsAQClTvnTCAkJQUpKCh48eIAvlyzB4d9+Q/+nbtWWH6S7rWfNmuXQXcqO\n0mq1GDduHN5//32MHTtWdahZr9ejZs2aaNiwIQYNGoSUlBSMGTMGTZs2Vaa/AFJZyv79paM3v3Ne\nzfz583Hs2DH07t3bZt3AgQPRsmVLDB00CP/ZsQM7BAFDidAQQB0AWkjJ9U8BOAIgVRSRV1CAJo0a\nwbB2rcU+AdL7vX79esyfP9+iAIa5GjVqoFevXli4cCGqVKmCUqVK2d33kjz/xWm3dOnSWLhwIS5c\nuPBcl2QGpKBzxYoViI6ORnR0URNQ2P86DjzZc4GrRD37KlFEhPXr18PLywsPHz60qBIVERFh94Yk\nLy8vpY1ffvnF4fOmViXKWu/evfH2228jMzMTSUlJdrczGo12e7G6du0KrVaLjz/+GEePHkXXrl2V\nKj5Hjx7F6tWr4efnZ3e+aXENHz4cgFRBa93ChZhr6uVWcxRSjXtr1SHNZVSTB2CzRoOG9evj8OHD\nJR74jBkzBqdPn8acOXOwe/duxMfHw9/fH1lZWfjqq69w+PBhHDx4EABQrlw5pKWloUOHDqhfvz4G\nDhyI2rVrIzMzEytXrsRvv/2GefPmFfmDoWPHjujYUa2ukyQ4OBhbt29HlSpV4Obmhj0uLlj02282\nqYNqVa+Osnl5cH/wAN9ZpSiSderUCV9++SW2bt2KDh06AFD/rCclJWHNmjX49ddfbSqpmXuS7wki\nwqxZs2xSEWk0GowbN85uu9bLzKsIPY2ijuHixYuqny9vb2906tTJop1169ahVKlSeGiqsPWf//wH\n3333HRo0aIB169bZtMGYNQ482XMjKioK+/fvR8OGDW1yuTVr1gxz5swp0fyMRf1BL6o987vX3dzc\nEBISgunTpytlFR3Zt9GjR6N///42+RnV7owH7OdntFZUfsanyZ/naCAUExODmJgY7Nu3z+5z4uPj\nMXz4cDx69KjQ4cS8vDzl/FiLjo5GtWrVMGHCBBgMBuzduxcGgwE5OTkICAiATqdDUlISAgMD7R7P\nkwR3gwcPxvz585EGab6hdQsCpNKia1We2xeWgaf5czcAuGo0YvP8+Wjbtm2JD7cLgoAVK1agc+fO\nWLJkCWbPno07d+7Az88PzZo1w8yZMy0CyaioKPz000+YPn060tLSkJmZiTJlyqBZs2ZYsWIFmjZt\nqvoaju6LOTc3N9StWxfp6ekWPe3u7u4IDQ3FvXv3ULVqVfTr189um61bt4ZWq4Ver1cCT7X9CQsL\nQ69evWAwGJ4ot2tRxzV9+nSb5R4eHkrgWVI5OO0tK067R48eVf18Va9e3SLwFAQBgwcPBvD4OyQi\nIgKrVq1Cr169bEYbGFMj0LO43Zcxxv4HvNqmDf67ezd+NhpREvfy3gFQV6NB7bg4bN2+vcjtGWPs\n74YDT8YYe0Lnz59H3dq1kZCbi6VP2RZByvu5xsMDP58+bTN3kTHG/gn4rnbGGHtCwcHBmDt/PpZB\nKoP5pMj0/GUAUhYs4KCTMfaPxRMyGGPsKQwcOBBXrlxBUlIS/gAwByjWsPsdSJV3lkGq/PTmm28+\ni91kjLHnAg+1M8ZYCVi2bBlGDh8OX6OxWJWf/p9Gg2yNBikLFnDQyRj7x+PAkzHGSsj58+eVfJQV\nNBp0Mxrt5qPcoNHgqtGItq1b4/PFi3l4nTH2P4EDT8YYK2GnT5/GokWLsHPrVvxiJx9lq1dfxZAh\nQ/DCCy/8hXvKGGPOxYEnY4w9Q2r5KL28vIp+ImOM/QNx4MkYY4wxxpyC0ykxxhhjjDGn4MCTMcYY\nY4w5BQeejDHGGGPMKTjwZIwxxhhjTsGBJ2OMMcYYcwoOPBljjDHGmFNw4MkYY4wxxpyCA0/GGGOM\nMeYUHHgyxhhjjDGn4MCTMcYYY4w5BQeejDHGGGPMKTjwZIwxxhhjTsGBJ2OMMcYYcwoOPBljjDHG\nmFNw4MkYY4wxxpyCA0/GGGOMMeYUHHgyxhhjjDGn4MCTMcYYY4w5BQeejDHGGGPMKTjwZIwxxhhj\nTsGBJ2OMMcYYcwoOPBljjDHGmFNw4MkYY4wxxpyCA0/GGGOMMeYUHHgyxhhjjDGn4MCTMcYYY4w5\nBQeejDHGGGPMKTjwZIwxxhhjTsGBJ2OMMcYYcwoOPBljjDHGmFNw4MkYY4wxxpyCA0/GGGOMMeYU\nHHgyxhhjjDGn4MCTMcYYY4w5BQeejDHGGGPMKTjwZIwxxhhjTsGBJ2OMMcYYcwoOPBljjDHGmFNw\n4MkYY4wxxpyCA0/GGGOMMeYUHHgyxhhjjDGn4MCTMcYYY4w5BQeejDHGGGPMKTjwZIwxxhhjTsGB\nJ2OMMcYYcwoOPBljjDHGmFNw4MkYY4wxxpyCA0/GGGOMMeYUHHgyxhhjjDGn4MCTMcYYY4w5BQee\njDHGGGPMKTjwZIwxxhhjTsGBJ2OMMcYYcwoOPBljjDHGmFNw4MkYY4wxxpyCA0/GGGOMMeYUHHgy\nxhhjjDGn4MCTMcYYY4w5BQeejDHGGGPMKTjwZIwxxhhjTsGBJ2OMMcYYcwoOPBljjDHGmFNw4MkY\nY4wxxpyCA0/GGGOMMeYUHHgyxhhjjDGn4MCTMcYYY4w5BQeejDHGGGPMKTjwZIwxxhhjTsGBJ2OM\nMcYYcwoOPBljjDHGmFNw4MkYY4wxxpyCA0/GGGOMMeYU/x/sfVfprk0wxAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5287369898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nx.draw(DG,with_labels=True,labels=node_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'00224163': <matplotlib.text.Text at 0x7f5287f29080>,\n",
       " '01044129': <matplotlib.text.Text at 0x7f5287f295c0>,\n",
       " None: <matplotlib.text.Text at 0x7f5287f29b00>,\n",
       " '01508577': <matplotlib.text.Text at 0x7f5287f30080>,\n",
       " '04120344': <matplotlib.text.Text at 0x7f5287f305c0>,\n",
       " '05386807': <matplotlib.text.Text at 0x7f5287f30b00>,\n",
       " '00504918': <matplotlib.text.Text at 0x7f5287f37080>,\n",
       " '00029423': <matplotlib.text.Text at 0x7f5287f375c0>,\n",
       " '03082773': <matplotlib.text.Text at 0x7f5287f37b00>,\n",
       " '29423': <matplotlib.text.Text at 0x7f5287f3d080>,\n",
       " '06319724': <matplotlib.text.Text at 0x7f5287f3d5c0>,\n",
       " '00629992': <matplotlib.text.Text at 0x7f5287f3db00>,\n",
       " '03416224': <matplotlib.text.Text at 0x7f5287f41080>,\n",
       " '06682973': <matplotlib.text.Text at 0x7f5287f415c0>,\n",
       " '00562422': <matplotlib.text.Text at 0x7f5287f41b00>,\n",
       " '02370894': <matplotlib.text.Text at 0x7f52876b0080>,\n",
       " '00017030': <matplotlib.text.Text at 0x7f52876b05c0>,\n",
       " '10317272': <matplotlib.text.Text at 0x7f52876b0b00>,\n",
       " '00370005': <matplotlib.text.Text at 0x7f5287688080>,\n",
       " '02289106': <matplotlib.text.Text at 0x7f52876885c0>,\n",
       " '06354009': <matplotlib.text.Text at 0x7f5287688b00>,\n",
       " '07707656': <matplotlib.text.Text at 0x7f528768f080>}"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XmZkJIlKpG4c6Z9naxtzcHA4ODrUy5VYTYjJ4G+7cuYM2bdrA0NBQJe7vktn7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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f528750a320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'00224163': 'WHITBREAD HOTEL COMPANY LIMITED',\n",
       " '01044129': 'WHITBREAD DEVELOPMENTS LIMITED',\n",
       " None: 'Mr Gary Whitbread',\n",
       " '01508577': 'WHITBREAD SHARE OWNERSHIP TRUSTEES LIMITED',\n",
       " '04120344': 'WHITBREAD PLC',\n",
       " '05386807': 'WHITBREAD GUARANTEE COMPANY TWO LIMITED',\n",
       " '00504918': 'WHITBREAD GOLF AND COUNTRY CLUB LIMITED',\n",
       " '00029423': 'WHITBREAD GROUP PLC',\n",
       " '03082773': 'WHITBREAD SUNDERLAND (1995) LIMITED',\n",
       " '29423': 'Whitbread Group Plc',\n",
       " '06319724': 'MILTON 2 LIMITED',\n",
       " '00629992': 'WHITBREAD PENSION TRUSTEES',\n",
       " '03416224': 'WHITBREAD QUEST TRUSTEE LIMITED',\n",
       " '06682973': 'WHITBREAD MEDICAL LIMITED',\n",
       " '00562422': 'WHITBREAD INVESTMENT COMPANY LIMITED',\n",
       " '02370894': 'WHITBREAD RESTAURANTS (AUSTRALIA) LIMITED',\n",
       " '00017030': 'WHITBREAD EAST PENNINES LIMITED',\n",
       " '10317272': 'WHITBREAD CONSULTING LIMITED',\n",
       " '00370005': 'WHITBREAD INTERNATIONAL TRADING LIMITED',\n",
       " '02289106': 'WHITBREAD NOMINEES LIMITED',\n",
       " '06354009': 'WHITBREAD FINANCE PUBLIC LIMITED COMPANY',\n",
       " '07707656': 'WHITBREADS TRADING LTD'}"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "node_labels = nx.get_node_attributes(DG,'Label')\n",
    "node_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nx.write_gexf(DG, \"companytree.gexf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Show the most popular named entity nodes\n",
    "for node in sorted(DG.in_degree_iter(),key=itemgetter(1),reverse=True)[:20]:\n",
    "    print(node)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "How many different nationalities are beneficial owners?\n",
    "A simple count of nationalities reveals 1,725 but with a lot of duplicates (i.e. there are 23 different ways of spelling/representing the nationality \"Zimbabwean\". We might need to remove text after a \"/\" to remove duel nationalities in some cleaning. We then might need to match to a complete list of nationalities to understand.\n",
    "How many royalty control companies?\n",
    "What is the age of the youngest person who controls a company?\n",
    "df = pd.read_csv(\"companies-with-controlling-entities-v5.csv\")\n",
    "df.dob_year.min()\n",
    "df[df.dob_year == 2016]\n",
    "There are 1097 Registered in this year.\n",
    "What is the age of the oldest person who controls a company?\n",
    "df = pd.read_csv(\"companies-with-controlling-entities-v5.csv\")\n",
    "df.dob_year.min()\n",
    "df[df.dob_year == 1916]\n",
    "There are three persons born in 1916\n",
    "There is someone born in the future; in the year 9998!\n",
    "Which individual controls the most number of companies?\n",
    "df.apply(lambda x: ' '.join([str(x.given_name),str(x.family_name)]), axis=1).value_counts()\n",
    "The individual Gabrielle Southern  owns 761 companies ( ! )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Spend Network Data\n",
    "\n",
    "If you try to unzip the data, you may get an error depending on the format of the zip fule used:\n",
    "\n",
    "- *unzip message need PK compat. v5.1 (can do v4.6)* : install the `p7zip-full` package and use `p7zip` to unzip.\n",
    "\n",
    "Install `p7zip`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "!sudo apt-get install p7zip-full"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "Launch a terminal from the notebooks homepage (*New -> Terminal*) and run the following command (when prompted, the password is *****):\n",
    "\n",
    "`7z e PATH_TO_FILE/FILENAME.csv.zip` \n",
    "\n",
    "For example:\n",
    "`7z e Spend\\ Network/central_gov_slim.csv.zip`  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Load the data in (this may take some time)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done.\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "decoding with 'utf-8-sig' codec failed (KeyboardInterrupt: )",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m/opt/conda/lib/python3.5/encodings/utf_8_sig.py\u001b[0m in \u001b[0;36mdecode\u001b[0;34m(input, errors)\u001b[0m\n\u001b[1;32m     22\u001b[0m         \u001b[0mprefix\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m     \u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconsumed\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcodecs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutf_8_decode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     24\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconsumed\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mprefix\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: ",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-22-42926f452e42>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;31m#Note that we can also read in from a zip file - as long as it isn't password protected:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;31m#pd.read_csv(fn,chunksize=10000,dtype=str, compression='gzip')\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mchunk\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mchunks\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m     \u001b[0;31m#Pop the data into the\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.5/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    913\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__next__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    914\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 915\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_chunk\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    916\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    917\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.5/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36mget_chunk\u001b[0;34m(self, size)\u001b[0m\n\u001b[1;32m    969\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0msize\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    970\u001b[0m             \u001b[0msize\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchunksize\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 971\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnrows\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    972\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    973\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.5/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, nrows)\u001b[0m\n\u001b[1;32m    936\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'skipfooter not supported for iteration'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    937\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 938\u001b[0;31m         \u001b[0mret\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnrows\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    939\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    940\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'as_recarray'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.5/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, nrows)\u001b[0m\n\u001b[1;32m   1503\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnrows\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1504\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1505\u001b[0;31m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnrows\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1506\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1507\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_first_chunk\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/parser.pyx\u001b[0m in \u001b[0;36mpandas.parser.TextReader.read (pandas/parser.c:9884)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/parser.pyx\u001b[0m in \u001b[0;36mpandas.parser.TextReader._read_low_memory (pandas/parser.c:10347)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/parser.pyx\u001b[0m in \u001b[0;36mpandas.parser.TextReader._read_rows (pandas/parser.c:11161)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/parser.pyx\u001b[0m in \u001b[0;36mpandas.parser.TextReader._convert_column_data (pandas/parser.c:12536)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/parser.pyx\u001b[0m in \u001b[0;36mpandas.parser.TextReader._convert_tokens (pandas/parser.c:13203)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/parser.pyx\u001b[0m in \u001b[0;36mpandas.parser.TextReader._convert_with_dtype (pandas/parser.c:14853)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/parser.pyx\u001b[0m in \u001b[0;36mpandas.parser.TextReader._string_convert (pandas/parser.c:15538)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/parser.pyx\u001b[0m in \u001b[0;36mpandas.parser._string_box_decode (pandas/parser.c:21480)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: decoding with 'utf-8-sig' codec failed (KeyboardInterrupt: )"
     ]
    }
   ],
   "source": [
    "fn='central_gov_slim.csv'\n",
    "%sql DROP TABLE IF EXISTS central_gov_slim\n",
    "\n",
    "chunks=pd.read_csv(fn,chunksize=1000,dtype=str,encoding='utf-8-sig')\n",
    "\n",
    "err=0\n",
    "\n",
    "#Note that we can also read in from a zip file - as long as it isn't password protected:\n",
    "#pd.read_csv(fn,chunksize=10000,dtype=str, compression='gzip')\n",
    "for chunk in chunks:\n",
    "    #Pop the data into the \n",
    "    try:\n",
    "        chunk.to_sql('central_gov_slim',engine,index=False, if_exists='append')\n",
    "    except:\n",
    "        err=err+1\n",
    "print(err)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>1170000</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1170000,)]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql SELECT COUNT(*) FROM central_gov_slim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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