{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Creating Helper Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 429,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>album</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>artist</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>customer</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>employee</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>genre</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>invoice</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>invoice_line</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>media_type</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>playlist</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>playlist_track</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>track</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              name   type\n",
       "0            album  table\n",
       "1           artist  table\n",
       "2         customer  table\n",
       "3         employee  table\n",
       "4            genre  table\n",
       "5          invoice  table\n",
       "6     invoice_line  table\n",
       "7       media_type  table\n",
       "8         playlist  table\n",
       "9   playlist_track  table\n",
       "10           track  table"
      ]
     },
     "execution_count": 429,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sqlite3\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm\n",
    "%matplotlib inline\n",
    "\n",
    "db = 'chinook.db'\n",
    "\n",
    "def run_query(q):\n",
    "    with sqlite3.connect(db) as conn:\n",
    "        return pd.read_sql(q,conn)\n",
    "\n",
    "def run_command(c):\n",
    "    with sqlite3.connect(db) as conn:\n",
    "        conn.isolation_level = None\n",
    "        conn.execute(c)\n",
    "\n",
    "def show_tables():\n",
    "    q = '''\n",
    "    SELECT\n",
    "        name,\n",
    "        type\n",
    "    FROM sqlite_master\n",
    "    WHERE type IN (\"table\",\"view\");\n",
    "    '''\n",
    "    return run_query(q)\n",
    "\n",
    "show_tables()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Selecting New Albums to Purchase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genre</th>\n",
       "      <th>tracks_sold</th>\n",
       "      <th>percentage_sold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Rock</td>\n",
       "      <td>561</td>\n",
       "      <td>0.533777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alternative &amp; Punk</td>\n",
       "      <td>130</td>\n",
       "      <td>0.123692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Metal</td>\n",
       "      <td>124</td>\n",
       "      <td>0.117983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R&amp;B/Soul</td>\n",
       "      <td>53</td>\n",
       "      <td>0.050428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Blues</td>\n",
       "      <td>36</td>\n",
       "      <td>0.034253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Alternative</td>\n",
       "      <td>35</td>\n",
       "      <td>0.033302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Latin</td>\n",
       "      <td>22</td>\n",
       "      <td>0.020932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Pop</td>\n",
       "      <td>22</td>\n",
       "      <td>0.020932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Hip Hop/Rap</td>\n",
       "      <td>20</td>\n",
       "      <td>0.019029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Jazz</td>\n",
       "      <td>14</td>\n",
       "      <td>0.013321</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                genre  tracks_sold  percentage_sold\n",
       "0                Rock          561         0.533777\n",
       "1  Alternative & Punk          130         0.123692\n",
       "2               Metal          124         0.117983\n",
       "3            R&B/Soul           53         0.050428\n",
       "4               Blues           36         0.034253\n",
       "5         Alternative           35         0.033302\n",
       "6               Latin           22         0.020932\n",
       "7                 Pop           22         0.020932\n",
       "8         Hip Hop/Rap           20         0.019029\n",
       "9                Jazz           14         0.013321"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "albums_to_purchase = '''\n",
    "WITH usa_tracks_sold AS\n",
    "   (\n",
    "    SELECT il.* FROM invoice_line il\n",
    "    INNER JOIN invoice i on il.invoice_id = i.invoice_id\n",
    "    INNER JOIN customer c on i.customer_id = c.customer_id\n",
    "    WHERE c.country = \"USA\"\n",
    "   )\n",
    "\n",
    "SELECT\n",
    "    g.name genre,\n",
    "    count(uts.invoice_line_id) tracks_sold,\n",
    "    cast(count(uts.invoice_line_id) AS FLOAT) / (\n",
    "        SELECT COUNT(*) from usa_tracks_sold\n",
    "    ) percentage_sold\n",
    "FROM usa_tracks_sold uts\n",
    "INNER JOIN track t on t.track_id = uts.track_id\n",
    "INNER JOIN genre g on g.genre_id = t.genre_id\n",
    "GROUP BY 1\n",
    "ORDER BY 2 DESC\n",
    "LIMIT 10;\n",
    "'''\n",
    "\n",
    "run_query(albums_to_purchase)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmwAAAFyCAYAAABIoYZTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b21f358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genre_sales_usa = run_query(albums_to_purchase)\n",
    "genre_sales_usa.set_index(\"genre\",inplace=True,drop=True)\n",
    "\n",
    "genre_sales_usa[\"tracks_sold\"].plot.barh(\n",
    "    title=\"Top Selling Genres in the USA\",\n",
    "    xlim=(0,625),\n",
    "    colormap=plt.cm.Accent\n",
    ")\n",
    "\n",
    "plt.ylabel('')\n",
    "\n",
    "for i, label in enumerate(list(genre_sales_usa.index)):\n",
    "    score = genre_sales_usa.loc[label,\"tracks_sold\"]\n",
    "    label = (genre_sales_usa.loc[label,\"percentage_sold\"] * 100\n",
    "            ).astype(int).astype(str) + \"%\"\n",
    "    plt.annotate(str(label), (score + 10, i - 0.15))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Based on the sales of tracks across different genres in the USA, we should purchase the new albums by the following artists:\n",
    "\n",
    "- Red Tone (Punk)\n",
    "- Slim Jim Bites (Blues)\n",
    "- Meteor and the Girls (Pop)\n",
    "\n",
    "It's worth keeping in mind that combined, these three genres only make up only 17% of total sales, so we should be on the lookout for artists and albums from the 'rock' genre, which accounts for 53% of sales."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Analyzing Employee Sales Performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employee</th>\n",
       "      <th>hire_date</th>\n",
       "      <th>total_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jane Peacock</td>\n",
       "      <td>2017-04-01 00:00:00</td>\n",
       "      <td>1731.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Margaret Park</td>\n",
       "      <td>2017-05-03 00:00:00</td>\n",
       "      <td>1584.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Steve Johnson</td>\n",
       "      <td>2017-10-17 00:00:00</td>\n",
       "      <td>1393.92</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        employee            hire_date  total_sales\n",
       "0   Jane Peacock  2017-04-01 00:00:00      1731.51\n",
       "1  Margaret Park  2017-05-03 00:00:00      1584.00\n",
       "2  Steve Johnson  2017-10-17 00:00:00      1393.92"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employee_sales_performance = '''\n",
    "WITH customer_support_rep_sales AS\n",
    "    (\n",
    "     SELECT\n",
    "         i.customer_id,\n",
    "         c.support_rep_id,\n",
    "         SUM(i.total) total\n",
    "     FROM invoice i\n",
    "     INNER JOIN customer c ON i.customer_id = c.customer_id\n",
    "     GROUP BY 1,2\n",
    "    )\n",
    "\n",
    "SELECT\n",
    "    e.first_name || \" \" || e.last_name employee,\n",
    "    e.hire_date,\n",
    "    SUM(csrs.total) total_sales\n",
    "FROM customer_support_rep_sales csrs\n",
    "INNER JOIN employee e ON e.employee_id = csrs.support_rep_id\n",
    "GROUP BY 1;\n",
    "'''\n",
    "\n",
    "run_query(employee_sales_performance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "hidden": true,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl8AAAFyCAYAAADLZb9oAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b1254e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "employee_sales = run_query(employee_sales_performance)\n",
    "\n",
    "employee_sales.set_index(\"employee\",drop=True,inplace=True)\n",
    "employee_sales.sort_values(\"total_sales\",inplace=True)\n",
    "employee_sales.plot.barh(\n",
    "    legend=False,\n",
    "    title='Sales Breakdown by Employee',\n",
    "    colormap=plt.cm.Accent\n",
    ")\n",
    "plt.ylabel('')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "While there is a 20% difference in sales between Jane (the top employee) and Steve (the bottom employee), the difference roughly corresponds with the differences in their hiring dates."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Analyzing Sales by Country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 352,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>customers</th>\n",
       "      <th>total_sales</th>\n",
       "      <th>average_order</th>\n",
       "      <th>customer_lifetime_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>USA</td>\n",
       "      <td>13</td>\n",
       "      <td>1040.49</td>\n",
       "      <td>7.942672</td>\n",
       "      <td>80.037692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Canada</td>\n",
       "      <td>8</td>\n",
       "      <td>535.59</td>\n",
       "      <td>7.047237</td>\n",
       "      <td>66.948750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>5</td>\n",
       "      <td>427.68</td>\n",
       "      <td>7.011148</td>\n",
       "      <td>85.536000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>France</td>\n",
       "      <td>5</td>\n",
       "      <td>389.07</td>\n",
       "      <td>7.781400</td>\n",
       "      <td>77.814000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Germany</td>\n",
       "      <td>4</td>\n",
       "      <td>334.62</td>\n",
       "      <td>8.161463</td>\n",
       "      <td>83.655000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>2</td>\n",
       "      <td>273.24</td>\n",
       "      <td>9.108000</td>\n",
       "      <td>136.620000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>3</td>\n",
       "      <td>245.52</td>\n",
       "      <td>8.768571</td>\n",
       "      <td>81.840000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>2</td>\n",
       "      <td>185.13</td>\n",
       "      <td>6.383793</td>\n",
       "      <td>92.565000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>India</td>\n",
       "      <td>2</td>\n",
       "      <td>183.15</td>\n",
       "      <td>8.721429</td>\n",
       "      <td>91.575000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Other</td>\n",
       "      <td>15</td>\n",
       "      <td>1094.94</td>\n",
       "      <td>7.448571</td>\n",
       "      <td>72.996000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          country  customers  total_sales  average_order  \\\n",
       "0             USA         13      1040.49       7.942672   \n",
       "1          Canada          8       535.59       7.047237   \n",
       "2          Brazil          5       427.68       7.011148   \n",
       "3          France          5       389.07       7.781400   \n",
       "4         Germany          4       334.62       8.161463   \n",
       "5  Czech Republic          2       273.24       9.108000   \n",
       "6  United Kingdom          3       245.52       8.768571   \n",
       "7        Portugal          2       185.13       6.383793   \n",
       "8           India          2       183.15       8.721429   \n",
       "9           Other         15      1094.94       7.448571   \n",
       "\n",
       "   customer_lifetime_value  \n",
       "0                80.037692  \n",
       "1                66.948750  \n",
       "2                85.536000  \n",
       "3                77.814000  \n",
       "4                83.655000  \n",
       "5               136.620000  \n",
       "6                81.840000  \n",
       "7                92.565000  \n",
       "8                91.575000  \n",
       "9                72.996000  "
      ]
     },
     "execution_count": 352,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_by_country = '''\n",
    "WITH country_or_other AS\n",
    "    (\n",
    "     SELECT\n",
    "       CASE\n",
    "           WHEN (\n",
    "                 SELECT count(*)\n",
    "                 FROM customer\n",
    "                 where country = c.country\n",
    "                ) = 1 THEN \"Other\"\n",
    "           ELSE c.country\n",
    "       END AS country,\n",
    "       c.customer_id,\n",
    "       il.*\n",
    "     FROM invoice_line il\n",
    "     INNER JOIN invoice i ON i.invoice_id = il.invoice_id\n",
    "     INNER JOIN customer c ON c.customer_id = i.customer_id\n",
    "    )\n",
    "\n",
    "SELECT\n",
    "    country,\n",
    "    customers,\n",
    "    total_sales,\n",
    "    average_order,\n",
    "    customer_lifetime_value\n",
    "FROM\n",
    "    (\n",
    "    SELECT\n",
    "        country,\n",
    "        count(distinct customer_id) customers,\n",
    "        SUM(unit_price) total_sales,\n",
    "        SUM(unit_price) / count(distinct customer_id) customer_lifetime_value,\n",
    "        SUM(unit_price) / count(distinct invoice_id) average_order,\n",
    "        CASE\n",
    "            WHEN country = \"Other\" THEN 1\n",
    "            ELSE 0\n",
    "        END AS sort\n",
    "    FROM country_or_other\n",
    "    GROUP BY country\n",
    "    ORDER BY sort ASC, total_sales DESC\n",
    "    );\n",
    "'''\n",
    "\n",
    "run_query(sales_by_country)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Visualizing Sales by Country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "metadata": {
    "hidden": true,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvAAAAOkCAYAAADAzgAvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzsnWd4VNXWgN81CRBCScBQVaQj0qQoVooNRVFRQVFsiIJe\nr8pnuyqKKHqvBbEgNgRERSUiKogEFRS9IIqIoIBwBRJRFAKEFlqS9f3YZ8JkMukhkwnrfZ7zZM4+\nu6xzMrP3OmuvvbaoKoZhGIZhGIZhRAa+cAtgGIZhGIZhGEbhMQXeMAzDMAzDMCIIU+ANwzAMwzAM\nI4IwBd4wDMMwDMMwIghT4A3DMAzDMAwjgjAF3jAMwzAMwzAiCFPgDcMwDMMwDCOCMAXeMAzDMAzD\nMCIIU+ANwzAMwzAMI4IwBb4cISJfisjccMtRHhCRa0UkS0Q6FbP8JBFZV9pyHSo8eXeGWw7DMAzD\nKC1E5BhvLL8m3LJUNEyBLwEi0k5E3heR9SKyR0Q2iMgcEbm1mFVqqQpYCDzZswKOPSKyWkSeFJFa\nZS1PECV5HlrC8mVNmckrIj4RuV5E5onIFhHZKyLrRGSCiHQuCxkKQkRai8gIEWkUblkMozwSYOQI\n7Lt/FZEXRKRuEetq4P3e2hexXFMReUVEfvPa3y4i34jIbSISU7Q7KnSbA0Tk9kNRtwHiuEZEvvXG\nhx3e9+oNEekabvmMg0SHW4BIRUROAeYCycCrwF/A0cBJwG3A2PBJVyQU+BF4GhAgBugM3AF0w92P\nUUHwBtXpQC/gK+AxYCvQGOgPXCMijVT1z7AJ6TgOGAHMA1LCLIthlFcUeBBYj+u7TwNuBs4Tkbaq\nureQ9TTE/d7WAcsKU0BEzgemAnuBycDPQGVPhidxv+Ghhb2RInAl0AZ47hDUbcALwC3Ah8BbQAbQ\nCjgP+A1YFD7RjEBMgS8+DwBpQBdVzeH6ICIJ4RGp2Pyhqu8EnE8Qkd3AnSLSTFV/y6ugiMSqavqh\nF9EoJZ4GzgFuV9UXAi+IyEhgWFikyo1QhBkJEYkpgrJiGBWJ2aq6xPs8QUS24n7HFwHvFbIOKUqD\nItIYeAen8J+hqpsCLr8kIg8C5xelzsOF8jxmejM3NwOvqOrNQZeHRaBuU6ExF5ri0xT4JVh5B1DV\n1MBzz13hCxH523NX+EVECmWZEJHKIjJSRNZ4ZVNE5AkRqRyU72wR+VpEtonIThFZJSKPleD+/vb+\nZgS0Mcmru6mIzBKRHbg3dP/1riIyW0TSRGS359N/SpCcjURknCdfuoikishUETmmEM8iXkS+855B\ni4D0i0XkZ28Kd5mIXJxH+VgRGe2V3+vJcGdQnmki8kNQ2gxvivqCgLQTvbRe3vl13vkpIvKMiGwS\nkV0i8oGIHFHQvQXU20REkryyf3gDYeD1dSIyPUS5Kt709Uv51H0kcBMwJ1h5B1DHM4HWdxHpKCKf\nenXvFJHPg6dRReRhEckK0Z7/mTQKSFsvIh+LyKkissj7n/0mIlcH5LkWZ9kD+NKrI1NEugXVcY6I\nfC8i6cBN3vdtaR73/quIfJrXszGMCsRcnELexJ8gInEiMsbrP/aKyO/iXCJqi0h34DvcC/OkgN9b\nfj7L9wLVgBuClHcAVHWtv4+RfHygvfSHAs6ri8izAXL+Lc4t9Xjv+jzci4G/ziwRWRtQvo6IvC4i\nf3l9y9LgdgPk+T8RuVVE1nrj1RwROUocD3rPKF1EpotIfAjZzxOR+V5fvUNEZorIcUF58hwzRaSF\nN95s9GT9XUTeEZEaeT10ce5ROyWEe5JX9k8REe+8izeWbPbuY62IvJ5X3R5NcN+dBaEuBuo2IlJL\nRJ4WN+bu9MaIWVJINywRaSXOBXmLd//fi0ifoDzR4ly7Vnt5UsXpOWcWpo2Kjlngi08ycJKItFHV\nXwrIOxQ3vfgRTiHuA4wTEVHV/BQuAWYApwCvAKuAdjjrSgvgEi/fcV6+pbjp1H1Ac69cYagkB5XM\nGKCT18ZXqpockE9x35kk4GvgTiDdk+EMYBawGHgYyAKuB+aKyGmqutir4wScW847wAac68YtwDwR\nOS4vK6q4N//PgDigm6qu99LPAd7HPd9/AUcAE726g5kBdAfGAz/h3EieEpGGqupX5L8GLhSR6qq6\ny0s7BcgETgdmemndvLT/BjwbcNOPW71n0Nh7jmOBAaHuK4hoYDawELgbOBcYKSJRqvqwl+ct4G4R\niVfVtICyFwLVgTfzqf88IIqAl6788L5X84HtwH9w390hOKW6m6p+72XNy38/VLrivruJwOvAJGAQ\nMFFEFqvqSq/N54F/AqNw33uAlQF1HAtMwf0uXgV+BXYDr3rfoxUB93GC1+bIwty3YUQ4zb2/WwBE\npBrwDc4N4nWcy2QCrs84ClgBPAQ8gvs9fe2VD6nEeVwArFXV0naneAU3rr2A+70fgXPJaY0b30bh\nxoAjcW6eAuyCbPfAr3DGtRdwbkX9cC8lcSGMFlfj+tzngNrAPTjDwTfAybg+rznOJfZpYLC/oDiD\nwyRcf30PEIuzXH8tIh1V1e/2F3LMFJFKXlolXF/3l3dPFwDxQF4BDd7DjZfnA9MC5KnqlZ2gqioi\ndbz6NwH/xnkLNPaebX74x/t+IvK+qu7JJ29T3HcoETcTU4+D48NxqvpXXgVFpA3uOW/w5NuNc+H8\nUEQuUdWPvKwjceP6q8D3QE2gC05H+aKAe6n4qKodxTiAs4D9wAGcEvcf4GwgOkTeKiHSPgXWBKXN\nA+YGnA/06j85KN9NOOXxJO/8du+8VjHuYx1O2Q4+5gfXh1OMM4FRIer5Ffgk+L5xPnOzC3gWJ3pt\nXhWQdq3XViegPk5BXw0cFVT2R1wnUD0g7UyvvrUBaRd5af8KKj8Vp5g28c47e/l6eedtvfN3gQUB\n5T4EFgfJmxV4r176aO97UqOA/4P/2Y4JSp8B7AFqe+ctvHZuCsr3EfBbAW2M9tpoX8jvxnSv7WMC\n0urjFPp5AWkjgMwQ5f3/w0ZB37dM4JSAtASvnScD0i718nXL4zubCZwVlF4T90L5eFD6c8AOoGpR\nfx922FFej4DfV0+conskcDmwGafUNvDyjfTyXZhPXf5+75pCtFvDy/tBIeU8Jq+6vfSHAs63Ac8X\nUN+MwL49IN0/Dl4RkBaFG5+3A9WC5PmLnOPGY176j4AvIP1tr3+q5J1XwxlpXgpqv44n/8sBaSHH\nTKCD11bfYvzffwemBqX1C+xXceNdJtCxGPVP8spuwb0k/B/QKkS+SiHSGnnP6oH8/v/A595zjg4q\n/w2wKuD8R+DjsvpNRdphLjTFRFU/x72lfwS0x1lMk4A/gqeBVHWf/7OI1PSs3fOBpvlNlwGX4awQ\nq0XkCP+BU/QF13GDe7sG6OufPisi3+KU3rNwb/b34xTXGSJSJUT+lwNPvOnNFsA7QXLWwL0ld/Pn\nDXoW0SJSG1jr3UOokJFH46wqPpwytyGgfH1cRzhJD1rLUdUvcFalQM7DKerBVpjRXt3neec/4gY/\nv8yn4zrMyUDngKnL0zhoqcpuGmcpCORr3CBSoIuQx4tB52NxC8POAlDVNbhFRFf5M4iLFnQuBVvW\na3p/CwxXKSI+3AvpdA2YhVFnVZkCnCYi1QuqJw9WqGq2dU/dtOyvOItOYVnn/QazUdUduN9j9myH\ndx/9cfeRnzXJMCIRwfWxm3H91BTcy+rFqrrRy3MJ8JOqflxKbRa6HykGaUBXEWlQjLLnAX+p6rv+\nBFXNxFm4q+NmXwOZGjhucHBx5mRVzQpKr4x7QQK3higOeDdovFMvb09y83LQ+Xbv77me9bwoJAK9\nRSQ2IO1y3Fo2f7+ahvtuXCgiRfK0UNXrgFtx4/LFwFPASnHukw0D8h3wfxYX2aw2zoDyK6HHcn/e\nWrhnlAjEBT3DOUCLgP9/GtBGRJrnUd1hjSnwJUBVf1DVy4BaOCvy47iOIlFEjvXnE+fv+7mI7MJ9\nITfj3vbBdQR50QK32n5z0PErrrPwhwp7D2dleA342/OF61cEZT5VVeep6lxV/VRV/4ObLjyFgGlD\nj4xAJTpATnBKbqCcm7zylUUkznsWMSLyiIik4Fx9Ur18cSGeheBcQhKAHpp7Ss6vFP8vxD39GiLv\nn6q6Oyh9ZcB1vI57IU5xx/v7Ne75RuHcpo7DTbkGK/DgBtFAtnl/CxOSMwvXaQayGvccGgekTQZO\nFZGjvfP+uGnaghT4Hd7f/F4a/dTBTQuvDnFtJa7vODrEtcIQKqrMNgr3jPzkFeN/MtBIRE7zzs/G\n/U7ycy0yjEhFca4bZwE9gONUtVnQy20z3AxmaVGUfqSo3IMzHv0ubo3MCBFpUlAhj2OANSHSV+L6\n0GAjSnBf7Veqg8c3f7q/f2ru1TeP3OOdv78JJNeYqc4FdDRufEwVt3bsFhGpScG8h+ubL4RsF6nz\nOLhuCFX9Cuda+pBX/4fi1iRVDlFfLlT1JVU9ATf2XoRzjz0D5/qK166IyDARWU3Osbwd+es1/uf3\nKLl1m4e9PP5n+BDOpWi152v/pIi0K8w9HA6YAl8KqGqGp8wPx/mnVcZNaSEiTXHTRbVx/tC9cZ3t\nGK94fv8DH7Ccg9bxwONsYJzX/l5V7ealT8b9gN4D5hTTIg8H/cu6BaXvC84YcA93hpDzLJzFwm/p\nGAvch3NJ6efdx1m4KclQz2Ia7gd8R3Fuoph8A5zgzT6cDsxX1e24QfB071BCK/CZedRZ3P9DKN7F\nzSb4rfBX4dx5Qg1egazy5CjtDjCvaDFReaSXxjPKy5ru9/sc6J0PxE2Vm7+kUVH53jO+zFfVYMNF\nqaMucMOfOEW7UEVCJXqzY8F1J+Jm4m4F/gDuAn4RL1hAKZNXP1RQ/+TD3dNVhB6XLwoqF2rMRFXv\nxs3eP4Zbe/Y88HOglTuPcotw/v39vaQLvfLvBeXrj/MSeAEXJnQCsDjIcp8vqrpNVWeq6gW4mfDT\nAgxHD+BeQr7EPYtzcM9gBQXrNeDWFYTSF87GM8qp6te4F9DrcbrQDcASERlU2HuoyNgi1tLHv1jT\nPwV0IU6h76Oqf/gzFXIV9W84f+V5hWnYyzcPuEtE7sMt+OmJi0pQVPzfjcK4SfjDTO5U1YLauhTn\n8nKPP8FTlHOt8sd1ki949T8iImmq+mTAdb9rR4tcJd2CrUCSgTNFpFqQFb51UF3gFPPKOFeMhhxU\n1OfjXmj+Blar6ubQt1hsfLjBK3BGwX8f6/0JqrpNRD4BrhKRKcCpuIVWBfEpbnAaiPPrzI/NuOnQ\n4OcI7pllcdCCtQ2ce5jnxuKncSFkyotibWqlqlneM7lWRP6FG0xfUdVi1WcYFYDfKFjZLurvYyZw\no4h01YIXsvpnIYP7+JBuhar6N87l5GUveMGPOGUxqQBZkwltnAjVx5eE33DK/OZCjHf5oi4Axi/A\n4yJyEm7h8FCc5Tk/pgK3eW6MlwPr9WBQgcD6v8NFGHpQRAbg+v0rcMp8UVmMG/8a4Pr+S3Fr9m4K\nzCQuYk9+Y6N/lvlAYZ6fumANbwBveC8fX+Ms9cW5hwqFWeCLiYj0yOOSP/atP3KGPwxj9rP23Emu\nK0QzU4GjROTGEO3H+N+kJfSOqT/hOplQPuyF4ULvb8iwfEH8gOvU7vKm84JlDYwdm0nu791t5G2t\nRVVH4d7W/yMiQwLS//LkuzZwLYGInI3bRCSQWbiXkuBdcofhlNHAEIOLcP+3e4Gt6iKjgOs4TsJ1\nYqGs76VBsHy34hbBBluQ38S5Vz3lyVpgvGdvGvc14BwJsVuwNyX6f+Ki8mTh/BEvkpxhIOvhXmy+\nDvAf9Q9o3QLyVQNKsnX2bq/OUC92BfEmbsbrFdyCs4JeVgyjIjMN6CAiwZbhQPxGjcL+3p7EveCP\nlxC7vopIMxG5DbIt9qnkns39BwHKuOdHncOFxFsf8yc5x7HdhHbRmAXUF5HLA+qMwkWz2omzIJcG\nSTg3ovtD+ZdLIWKli0gNT7ZAfsGNRYUZs9/z8l2Hi6aWo/+XEGEvcToB+dUvIvVEpHWI9Eo463gW\nBw1MmQTNmopIPw6uFQiJZ/j6EhjirWMLbish4HPtoLLpXvvF1WsqFGaBLz4veAr0dJyyXhlnCe2P\ne8Oc5OWbg4skM1NEXsH5DQ7GWXFzfXmDeNOr7yUR6clBP+zWOPeTc4AlwEPiYmR/grMy1MP5Rabg\n3EEK4kgR8btjVAaOx0W62UQhdpRVVRWRwbgO9BcRmYib/jwSNwOwnYPTijOBq8XFw12Bm+I7E9fB\nB5PdOajqPd6LzzgR2aWqfqXsPq/O/4rIBFw0hltx7i6BswczcLMTj3k+lf4wkn1wkV+yfapVdY+4\nWPAnAYELv+bjFEK/FSBPeQuZHsw+3KKmSbiXiN4438bHVHVLUN5PcFEC+gGzNGjvgXy4E2flf05E\nLsE9u2246AH9cBZ3v5/jcFyn/V8RGYfrsG/CfUfuCahzDu67NkFEnuJgCNFNFN9PfqnX3r3eYLQP\n+KIw96mqS0XkZ+9+VqhqYV5CDSMSKUzf8hQuIEKi1zf/gOsn+wBDVHU57iU8DRjqrdXaDSzyfLVz\noaprReRKnDvfShEJ3In1VK+9iQFFxgP/EpHXOGjJbREkfw1gg4i8j+ufd+HcKbrgIqH4+QHoLyKj\ncaEFd6nqTFwAgSG4sJFdOBhG8mTcxnXB65+KQuBYtFNEbsa5qy4RkXdxFudGOAPeNxQ8I3oGMFZE\nEnHrjKJxBo8MAsJD5oWq/igiv+HcbyoT4P/uca2I3ILTT37DPdsbcWPxrHyqPgr4TkTm4oxGf+H8\n0Qfg3H3GqOpWL+9MnGV/Am7moB3OlSbPjR8D+AduDF3ufSfW4vSWk3F6Q0cv3woR+RL3P9+KC0N9\nGc7dyChpGJvD9cApz6/h3pq343xyf8X5ticE5T0fNw24G/flvhP35hwcYm8eTkkJLBuF8wNchrN4\npOKmxB7AC4GFW7z0AW5aa4/3902gWSHuwx+Sz38cADZ65ZsE5Z0IbM+nrva4leWbPFnX4pTBHgF5\nauI687+95/YJriNfC7wekC87jGRAmuCsqftwLkn+9Itxg0c6zk/uIk/W34Lki8VZ8n/Hbf+9ChiW\nx7084bV/Z1D6alwn2zgoPZe8Xnp38giHGOrZ4txOZuMsRn8CD+ZTZqxXd/8ifncFp2B/iesU9+IG\nuwlAh6C8HXAd/nZPps+AE0PUeTyuE9/jfaduI3QYybXARyHKh/ruD8ItStsf+Ay9+nPVEVT2LtyL\nxD3h6B/ssONQH3n1OXnkjceFU03xfqPJuJjwtQLyXOD1n/u8egsTUrIZzt3lN6/e7ThD061A5YB8\nMTgFeyvuRWEK7iUi09/H4WKi/wdnlErDWbmXkDtkbixufNrilQ8MF5zAwfFlD84QcHVQ+WO8csOC\n0v199SWFec64l5BZ3j3txo0NrxMQupE8xkxcP/+aV2Y37gXgcwLGykI8+0c9uVaFuHY8LqjBOty4\nuBEX+jjfsJI4o9et3n0l48aGNNxLyfVBeSvjZmI24F62vsIF85hLQF8e8LyvCfEM/Ma+vd538yMC\nQmviDHQLvf/1Lpy+dS8QFe7fX3k4xHtIhmFEGCLyDE7Jra95bIB1uCIit+MWWDXW3FGTDMMwDCOi\nMR94w4hAvIW/A4H3TXkPySDgS1Peyz8iMlREfhK3Fft2EVkgIucG5XlE3Dbx6SLymVhcaMMwDnNM\ngTeMCEJE6ni+p+/gFmqaL6CHiMSKyAAReRUXdWNMQWWMcsHvuGnxTrgdQecCH4vbbwERuRc3rX8T\nbop+N5AkhYxpbRiGURExFxrDiCBEpDvOX/xv4BFVfSnMIpUbROQYnM/nNuBFVS0oFJtRThGRLcBd\nqjpRRP4EnlLVMd61mrjv/7WqGrx4zzAM47DAFHjDMAyjXOBt7tMftxCxA24h8m/A8aq6LCDfl8CP\nqjosHHIahmGEG3OhMQzDMMKKiLQVkZ24CCiv4CIr/YYLtas4i3sg+Ybh9dypOkkRdp00DMOIJCwO\nvGEYhhFuVuEs7nG4OM/veu5ixeVY4IcffvihNGQzDMMoSwq1d4xZ4A3DMIywoqoZqrpWVX9U1Qdw\nG5ndjNtIRnCbvARSz7tmGIZxWGIKvGEYhlHe8OE2a1mHU9TP9F/wFrF2xW0cZhiGcVhiLjSGYRhG\n2BCRx4FPcTsx1sBtx94NGOVleRYYLiL/w+0Y/Chu98ePylxYwzCMcoIp8IZhGEY4qQu8ATQAtgPL\ngF6qOg9AVZ/0FqO+AsQDXwPnqer+MMlrGIYRdkyBNwzDMMKGqg4uRJ6HgYcPuTCGYRgRgvnAG4Zh\nGIZhGEYEYRZ4wzAM47AkJSWF1NTUcIthVBASEhJo1KhRuMUwDhNMgTcMwzAOO1JSUmjdujXp6enh\nFsWoIMTGxrJy5UpT4o0ywRR4wzAM47AjNTWV9PR03nrrLVq3bh1ucYwIZ+XKlQwcOJDU1FRT4I0y\nwRR4wzAM47CldevWdOrUKdxiGIZhFAlbxGoYhmEYhmEYEYQp8IZhGIZhGIYRQZgCbxiGYRiGYRgR\nhCnwhmEYhmEYhhFBmAJvGIZhGIZhGBGERaExDMMwjADKywZPtjGQYRh5YQq8YRiGYXikpKTQulUr\n0vfuDbcoxMbEsPLXX8u9Er9nzx6efPJJevbsSbdu3cItjmEcFpgCb+RARNYDe7wDYLGq3hQ+iQzD\nMMqO1NRU0vfu5fn42rSIDt8QuSYjg9vStkbExkDp6emMHDkSETEF3jDKCFPgjWAU6K+qy0NdFJEo\nVc0sY5kMwzDKlBbR0bSrXDncYkQEqhpuEUqEqrJ//36qVKkSblEMo9DYIlYjFJLjRGSiiLwuIl8B\ny720t0TkOxFZKiIzRKSul36MiGwTkYdFZLGIrBaRcwPqOllEvvbKLRWRPl56cxGZKSKLvPRbyvB+\nyz0iEi0iI0RkpYgsF5EfROQDEWkfbtkMwyif/Pnnn9xwww0ceeSRxMTE0LRpU2655RYyMjJ4+OGH\n8flyqwCTJk3C5/ORkpKSnbZ48WJ69epFnTp1iI2NpWnTptxwww0AJCcnU7duXUQku06fz8cjjzyS\nXX7u3LmcfvrpVK9enVq1anHxxRezatWqHO36y65evZorr7yS+Ph46taty4MPPgg416aLLrqImjVr\n0qBBA8aMGZNL9v379zNixAhatGhBTEwMjRo14t5772X//v058vl8Pm677TamTJlC27ZtiYmJISkp\nCYB3332XLl26ULNmTeLi4mjfvj3PP/98Mf8DhnHoMAu8EYr3RGQvzho/0kvrBJyqqune+e2qugVA\nRO718t3sXYsDlqrqwyLSC3gOOFZEagHTgUtUdYFXNl5EfMA7wFWqulpEqgLfisgiVf3h0N9uRDAJ\niAW6quoOABE5A2gFLCtMBSIiABrp5jLDMApk48aNnHDCCezYsYMhQ4bQqlUr/vjjD95//33S09MR\nEbwuIQfB6Zs3b6ZXr17UrVuX++67j/j4eNavX88HH3wAQJ06dXj55ZcZOnQol1xyCZdccgkA7ds7\n28Lnn39O7969adasGSNHjmTPnj08//zznHbaaSxZsiTbPcjf5uWXX06bNm144okn+OSTT3j88ceJ\nj4/n5ZdfplevXjz11FO8/fbb3HXXXZxwwgmcdtppgLOi9+nThwULFjBkyBCOPfZYli9fzpgxY1iz\nZk22vH6++OILpk6dyq233kpCQgKNGzfm888/58orr+Tss8/mySefBGDlypUsWLCA2267rTT/PYZR\nYkyBN0KRw4VGRC4GEgOUd4CBIjIQiAGqAIEhG/ao6ofe54VAU+/zycAqv/IOoKppItIaaAO8KwdH\njurAccBhr8CLSHPgIuAov/IOoKpzA/LcCfTD/aY3AUNU9XcRGQG0wz3Po4BzROS/wFvAGcDRwH9w\nax5uBOoD96nqe169bwEtgcrA78ANqrpJRI4BluJezi4AagK3qepsT5aWqjrEqyMO+B/QQlXTDsUz\nMgwjJ//617/YtGkT3333HR07dsxOf/jhh4tUz4IFC0hLS+Pzzz/PUY/fwh4bG8ull17K0KFDad++\nPVdeeWWO8nfffTdHHHEE3377LXFxcQBcdNFFdOzYkREjRjBx4sQc+U8++WTGjRsHwI033kjjxo25\n5557eOKJJ7jrrrsAuOKKK2jYsCETJkzIVuDffvtt5s6dy/z58zn55JOz62vTpg0333wz3377LSed\ndFJ2+urVq/n5559p1apVdtqwYcOIi4vLtsYbRnnGXGiMUOQ2y8Cu7IsipwL/BM5V1XbAnThF3s++\ngM+ZQFQh2tuiqp1UtaN3NFPVN4snfoWjI/A/Vd0e6qKIDMBZ4k9W1S7AFOClgCwnAQNVta2q/uml\nxarqqUBPYDTQUFVPAfoDLwSUvV1VT1TV44FvODgjAwdnWrrgvg/PeunjgYtEpKZ3fj3woSnvhlE2\nqCofffQRF154YQ6luzjEx8ejqnz88cdkZGQUqexff/3FTz/9xPXXX5+tvAO0a9eOs88+m1mzZuXI\nLyLZrjngXF26dOkCwKBBg7LT4+LiaNWqFWvXrs1Oe//992ndujUtW7Zky5Yt2UfPnj1RVebNm5ej\nrR49euRQ3v33unv3blPgjYjAFHijONQCdgDbRKQyMCToevALgP98AdDCewFAHLWAX4EdInJddgGR\nZt41IwgRaSoiP4rIKhGZAFwMnAksEZEfgbtx1nY/s1Q1OKj1ewCq+hvO+p7onS8GagUo3wNF5HsR\nWQ7cAHQIqCPkTIv3ovE+4B9xbwbGlvS+DcMoHJs3b2bHjh20adOmxHV1796dyy67jEceeYSEhAQu\nvvhiJk2alMuvPBTJyckAtGzZMte11q1bk5qayp49e3KkB0fciYuLIyYmhtq1a+dK37ZtW/b5mjVr\n+OWXX6hTp06Oo1WrVogImzZtylG+cePGuWS65ZZbaNmyJb179+boo4/mhhtuMGXeKLeYC40RTCj/\n6OC02cBAnOKdCnwONMwnv0K2u0xf4BkRqYGzzj+oqp+IyAXAcyJyB+57uRm4EgPgR6C5iMSp6nZV\nXQt0FJEg/FCIAAAgAElEQVRrgL7AfuDfqjo+j/K7QqQFBrnODDpXIDpgpqWrqm7xFhwHWuDzm2l5\nAfhYRFYBm1T1p4Jv0zCMsiKU/ztAZmbuIGNTp07lu+++Y8aMGSQlJTFo0CCeeeYZvv32W2JjY0tV\nrqio3BO2odIgZ/SbrKws2rVrx5gxY0JGxTn66KNznFetWjVXnjp16rB06VKSkpL49NNP+fTTT5k4\ncSLXXnttLlcfwwg3psAbOVDVpiHSBgWdZwBXBGV70LuWDNQOyLubAMVOVb8DTgvRxjrgwpLIXlFR\n1f+JyEfA6yJyQ4ArTXWcsv0hcKeITFPVbSISDbRV1aXFbNI/shd3pgVV/VVE1gKvAncVUw7DMIpB\nnTp1qFmzJj///HOeeWrVchOcO3bsoGbNmtnp69evD5n/xBNP5MQTT+TRRx/lnXfe4aqrruLdd99l\n0KBBeb4MHHPMMQD8+uuvua6tWrWKhISEkIp0cWjWrBnLli2jZ8+eJaonOjqa888/n/PPPx+Am2++\nmVdffZUHH3yQpk1zDY+GETbMhcYwIoPrgJ+BRV4Yyfk4t5knVPUdXJSaeZ4LzY843/a8CDlDEuJ8\nNrAaN9PylVdvUep5DffyNi0fWQzDKGVEhIsvvpgZM2awZMmSkHmaNWuGqjJ//vzstN27dzN58uQc\n+dLSci9d6dDBedLt2+cm4fxW+OC89evX5/jjj+eNN95gx47s9ff8/PPPzJkzJ1tJLg369+/Phg0b\neO2113Jd27t3L+np6SFK5WTr1q250tq1awccvFfDKC+YBd4wIgBv1uNh7wh1fSwh/MxVdWSItKZB\n53WDzgN3rynWTItHT2CcbfxlRCJrirhgs7y1//jjj/PZZ5/RrVs3brrpJlq3bs2ff/7J+++/z3//\n+1/OOeccGjVqxKBBg7j77rvx+XxMnDiRunXr8vvvv2fX88YbbzBu3Dj69u1Ls2bN2LlzJ6+99hpx\ncXH07t0bgJiYGI477jjee+89WrRoQe3atWnbti1t2rThqaeeonfv3px00knccMMNpKenM3bsWGrV\nqsWIESNKdI+BXH311UydOpWbb76ZefPmceqpp5KZmcnKlStJTExkzpw5dOrUKd86Bg8ezNatWznj\njDM46qijWL9+PWPHjqVjx460bt261GQ1jNLAFHjDMEoVEWkAzAW2AL3CLI5hFImEhARiY2K4LS23\nNbasiY2JISEhoVhlGzZsyKJFi3jwwQeZMmUKO3bs4Mgjj6R3797ExsYSHR3Nhx9+yC233MJDDz1E\n/fr1s8MoBkZ86d69O99//z3vvfcef//9N3FxcXTt2pUpU6Zku8gAvP766/zzn//k//7v/7I3VGrT\npg1nnnkms2fPZsSIEYwYMYJKlSrRo0cP/vOf/+Qonx95uegEposIH330EWPGjGHy5Ml8+OGH2ZtO\nDRs2LMdC2rxi4F999dW8+uqrvPTSS6SlpVG/fn0GDBhQqi8ahlFaiO3pYhiGYVQkRKQT8MMPP/yQ\np9V1yZIldO7cmVB5UlJSSE0NDtxU9iQkJOSKymKUT/L7PhlGEQn9xhqEWeCNComuGN0AaATUCTgS\ngj5Xw/0G/EdU0Of9wG4gfV/VSr/sqh1bG9gOpOE2S/oD2OA/EuIGby6r+zMM49DRqFEjU5wNwyjX\nmAJvRCy6YnQcbgOjlkFHc6BGabaV5ZNduJ1k8yR1+/i9OKV+DfBLwLEiIW5wqFCOhmEYhmEYRcYU\neCMi0BWjqwEnBB2Ny6x9nxRmRVkM0Mw7zg0snrp9/O/AcuBb3IZWixLiBu8udUENwzAMw6jwmAJv\nlEt0xehawNnA6cApQHvC+H3N8klWCYoLzp2nEeCPm5aZun38MpwyvwD4MiFu8J8lk9IwDMMwjMMB\nU+CNcoGuGC3A8UBv4DzgJHKHJQwb6ivUmpKiEAV09I5/AKRuH/8zkISLvz4/IW5wwXuVG4ZhGIZx\n2GEKvBE2dMXo6jhXk97e3wbhlShv1CdlEa6prXfcCexM3T7+M2AG8GFC3ODcu6kYhmEYhnFYYgq8\nUaboitHRwDnAQOAiIDa8EhUOFSnrXYtrAJd4xyup28d/CkwBZiTEDd5TxrIYhmEYhlGOMAXeKBN0\nxegTcUr75UDdArKXO9Qn4XTnqYx72bkIZ5n/CKfMz0mIG2y7nBqGYRjGYYYp8MYhQ1eMTgBuBK7F\nhXuMWFSkUrhl8KiBexEaCGxI3T7+NeDVhLjBf4VXLMMwDMMwygpT4I1SR1eMbgfcDlyFC60Y8aiU\ny9/KUcBIYHjq9vHTgXEJcYO/CrNMhmEYhmEcYsqjUmJEILpitA+4AKe4nxFmcUofkSrhFiEfKgH9\ngf6p28f/AjwPTLIoNoZhGIZRMTEF3igRumJ0DDAYp7g3D7M4hwyViJlJaAO8AjyUun380zj3mvQw\ny2QYhmEYRiliCrxRLDzFfQhwL+U4/GMpUjXcAhSRI4ExwP2p28ePAcYmxA3eGWaZDCMiSElJITU1\nNdxikJCQQKNGjcItRpFJTk6mSZMmTJo0iWuuuabM2//qq6/o2bMnX375Jd26dSvz9g2jLDAF3igS\nyUmJlXy+zOuObMiDIhwdbnnKkGrhFqCY1AEeB+5O3T7+WeCZhLjBu8Isk2GUW1JSUjj22GPZsyf8\n0VqrVq3KqlWriqzEL1y4kDlz5jBs2DBq1qxZ5HZfeuklYmNjufbaa4tctrwgUuqb7xlGucIUeKNQ\nJCclCnAl8EhWVlTTjIzoBZUqZRxOCnz1cAtQQmrhFrzekrp9/CM415qMsmhYRKKA4cAVwAEgA/gO\nuEdVd5RiO9cCF6tq30LknQicDWwCqgALgJtV9ZA9ExHJAuJD3XPgNRGZCQxT1TWHShYjb1JTU9mz\nZw+DBg2iQYPwTS5u3LiRCRMmkJqaWmQFfsGCBTzyyCNcf/31xVLgx40bR506dSJagTeMio4p8EaB\nJCcl9gCeBTr401K3JNSrX++vLBHKeoOjMkdhLyKR4gNfEPWAF4eNq9Unbff0F2eM6juzDNqcAMQD\nXf3Kq4hcCtQGSk2B9yjKjrlPqurz4kKEzsO5hL1YyvIEkp9s2ddU9YJDKINRSBo0aBCR7isAqmWx\ncbRhHN7k52pXFu5vFV75MopPclJiveSkxLdwyk2HwGsHDlRulpER/W14JCtb1CcVyuVk7tIqi9J2\n+84FZvQZPn12n+HTWx+qtkSkGXApcF2g5VlVp6nqehF5UER+FJElIrJcRLJE5Giv7J0i8q2ILBaR\nWQHplUTkSS//UhGZFdBkDRGZIiLLROQ7EWlckIyqegD4Bsh+DiLSRUS+8Or4QUQu89KPEZFtIvKU\niPzkyXBm4LWAOqp5lvXsJOBu715XiciVQdf85daJSHvvc0MRSfTuZ6mIjCzofiINEbnPe847RORv\nEZkuIi2D8kz0vhuBx6y86jycGTlyJPfccw8AjRs3xufzERUVRUpKCpmZmTz66KM0b96cmJgYmjRp\nwgMPPMD+/QcDVjVp0oRffvmFL7/8Ep/Ph8/n44wzXGCxbdu2cdddd9G+fXtq1KhBXFwcvXv3Ztmy\nZaUi+wsvvEDbtm2pVq0atWvX5oQTTuDdd9/Nvp6SksItt9zCscceS2xsLAkJCfTv35/k5ORC1b9o\n0SLOPfdc4uPjqVatGj169GDBggU58uzatYs77riDJk2aEBMTQ7169TjnnHNYunRpqdyjUTFISUmh\ndatWdO7cOeTRulUrUlJSDqkMZoE3cpGclOgDhgKP4SynIUndklC3fr2/VIQK7WyoPqkwUVyyssh8\nZ261hICkXsCyPsOnvwSMmDGq77Y8ihaXTsAaVQ1Zr6o+CjwKICKvAAtV9XcRGYDb/OtkVVURGQi8\nhAtVej/QAuioqhkickRAlV2ADqqaIiL/xi2yvjk/AUUkDudO82LA+avAear6t1f/EhH5r1ckDvhF\nVe8Wka7AxyLS1H9LwbcYdJ6pqp1EpAmwWES+UdX8evm3gNmq2s+T7Yh88kYqpwMvAItxY9K/gTki\n0lpVAx3RPwWu4+DLzr6yFDJSuPTSS1m9ejXvvvsuzz33HEcccQQiQkJCAjfccAOTJ0+mf//+3HXX\nXSxatIh///vfrFq1imnTpgHw3HPPceutt1KjRg2GDx+OqlKvXj0A1q5dy8cff0y/fv1o0qQJf//9\nN6+88go9evRgxYoV1K9fv9hyv/baa9x+++3079+fO+64g71797Js2TIWLVrEFVdcAcD333/Pt99+\ny4ABAzjqqKNYv34948aNo2fPnqxYsYKYmLwnSufOnUvv3r3p0qULDz/8MD6fj4kTJ3LGGWfwzTff\n0KVLFwCGDBnCBx98wD//+U9at27Nli1b+Oabb1i5ciXHH398se/PqFikpqaSvncvz8fXpkV0TlV6\nTUYGt6VtLZb7W1EwBd7IQXJSYhecotSloLwHDlRunpERvbBSpYyTD71k4SNLJPyr2UqJjxdWXZiR\nKacFJUcD/wQu6zN8+g0zRvX9tKzlEpHhwNE4BR3gYtx3cIm3GM3HQWX4fJz/fAaAqm4JqGphgEK8\nELg1n2bvFpEbgJZAkqpO8NJPAZoCn8rBlXCKe6FYh/Pjf8Nre5GI/AF0BH4vxK2O98qtE5H5QDec\nkp4LEakGnIZ7uSDEvVYIVLV34LmIXIdbm9AZNzPiZ5+qbi5D0SKStm3b0qlTJ959910uuuiibAVi\n2bJlTJ48mZtuuomXX34ZgKFDh1KnTh1Gjx7NV199Rffu3bnwwgt54IEHqFOnDgMGDMhRd/v27Vm9\nenWOtKuvvppWrVrx+uuv88ADDxRb7lmzZtG2bdscFvdgLrjgAi699NIcaX369OGkk05i2rRpXHXV\nVXmWvfnmmznzzDP55JNPstOGDBnCcccdx/Dhw5k9e3a2HDfeeCNPPvlkdr677rqruLdlVHBaREfT\nrnLlsLRtLjQGAMlJiXHJSYljgUUUQnn3s2XLEQmqRfI7jjjUJxViQ6QDGeybsbBq03yyNABm9Rk+\n/dU+w6eX1qLdJUALEamVVwYRuQansF+qqn6XEwH+raodvaODqhbG/LU34HMm+RspnlLVDjhrfnsR\n6RXQ9s+q2img/caq+mVet4BT8DOC2gsVejR4tqqg346GKFPRicfd99ag9B6ei80qERknIrXDIFvE\nMmvWLESEYcOG5Ui/8847UdUcim1eVKpUKftzVlYWW7duJTY2llatWrFkyZISyRcfH8+GDRtYvHhx\nnnmqVDm4n15GRgZbt26ladOmxMfH59v+0qVLWbNmDQMGDGDLli3Zx86dOznzzDOZP39+DjkWLVrE\nxo0bS3Q/hnGoMQW+CIjIehFZ6fnsrhCRt0Sk1OKDe76x1bzP2X6wh5rkpMSewM/APyjid2L/gSot\nMjOjvjskgpUT1CcVYqp+ytxq32apNCxE1htxbjXdS9qmqv4GTANe91xTABCRS0SksYichYtQc36Q\nu8SHwFC/4i8i0SLiV+A/Bm4XkcretUCXoOLIuAG3EdlYL2LOAqCJ37fda6ODiPiV80rA1V76ibgX\nn6XAX17asV6+UAGwr/fyNMZZ1+eHyOOXa7d3/c4AOUp0r+Udb8bjWeAbVV0RcOlT3PM8A7gH6A7M\nCpghMQogOTkZn89H8+Y599urV68e8fHxhfIjV1XGjBlDy5YtqVKlCgkJCdStW5fly5ezffv2Esl3\n7733Ur16dU488URatmzJrbfemss/fe/evTz00EM0atQoR/vbt2/Pt/01a1xAp2uuuYY6depkH3Xr\n1mX8+PHs378/u/yTTz7Jzz//zNFHH03Xrl0ZOXIk69atK9G9GcahwFxoioYC/VV1OYAX7u06nMtJ\nNiLiC7AkFr5y1U6lIWRhSU5KrITzP76bErzMpW5JiK9X9+8K6wuf5ZMD4ZahpKTvkx1f/VSlbRGK\nNAHm9Rk+/Tngvhmj+u4tqEA+DAIeBBaJyAHcd20+8AXOn70qB91VFOitqlM8C+s8EVFcXzUBpyg/\ngVufsURE9gN/ctD1prDksHyr6gwRuQMXSnKsiJwPjBaRp4HKQDJulgBgO9BWRJYCUcAAT9lGRP4J\nfCIiqcD7IdqMEpElQCzwT1X9PeBaKNmuAV4QkZ+B/cBHuHCgFZVxwHHAqYGJqjo14PQXEVkO/Ab0\nwC2yNwpJSd55HnvsMR566CEGDx7MqFGjqF27Nj6fj9tvv52srCIPeTk49thj+fXXX5k5cyazZ8/m\ngw8+YNy4cYwYMYIRI0YAcOutt/LGG28wbNgwTjrpJOLi4hARLr/88nzb918bPXo0HTp0CJmnenU3\n6divXz+6devG9OnTmTNnDk8//TRPPPEE06dPp1evXiHLGkY4MAW+6AiAuLCCscA2cfGnr8VN+bYA\nbhKRU4ABuGd8ALhdVb8VkQ7AJA5OjTcFnlbVRyWfONGlTXJSYgtgCkVwl8mL/furtMrMjFoUHZ3Z\nteSSlT/UJ2USL/1QMuHTaj8qUlSLugB3AOf2GT79mhmj+n5fnLZVNRN42DuCOSOfcmOBsSHSD+Cs\nsPcEpb+B55vunX8ChPQLUNVBIdLODPi8FDgzOI9f+VHVXO2HkgF4KuBalPdxRIhyUQGfmwZ83ghc\nFuoeKhoiMhboDZzu3XeeeGsIUoHmmAKfi1BK+jHHHENWVhZr1qyhVatW2embNm0iLS2NY445Jt/y\nANOmTeOMM87g1VdfzZGelpZGnTp1Six31apV6devH/369SMjI4O+ffvy2GOPcd9991G5cmWmTZvG\nddddl8M/fd++faSlpeVbb7NmzQCoUaNGdkSd/KhXrx5Dhw5l6NChpKam0rFjRx577DFT4I1yhSnw\nRec9EdkLNMZFTZiKm04/ETheVf8HICL/U9Ux3ueuOKW9tar+hFvwhoj0wEW7eM2ru0x8yZOTEgcB\nz1OKu4umbkmoWb/e36VVXblCfRLRPv7bd8vmH9ZU7lyCKo4FFvQZPv0/wCMzRvWN+BmJEhLR34fy\niKe8XwR0LyAqjz//UcARwCFzVA63D3RJ2q9WzXXtaWlp2YtYe/fuzf3338+zzz7LSy8dnDQePXo0\nIsL555+fo3wopTgqKipXjPnExET++OMPWrRoUWx5AbZu3Urt2geXNURHR9O6dWtmz57NgQMHqFy5\nMlFRUbks7c8//zyZmZn51t25c2eaNWvG008/zYABA7Kfj5/U1FQSEhLIyspi165dOTa/SkhIoGHD\nhuzbVyE8KY0KhCnwRae/qi4XER9O+X4SWA4s8CvvHp1F5H7cIJMBtBSRKqq6D0BE2gITce4Cf3ll\nDqkLSnJSYrwnc7/Srnv//iqtMzKivouOzjyxtOsON1k+KdnccJgZ93GNlSDdSlhNNM5X/Zw+w6df\nOmNU3w2lIFrEoarJuA2ojFJCRMbhZisvBHaLSD3v0nZV3eutCxqBW0vxF87q/gSwGkgqbXkSEhKo\nWrUqEyZMKDjzIaZq1aokJBR92UPnzp1RVe6//36uuOIKKlWqRJ8+fbj22mt59dVX2bZtG927d2fR\nokVMnjyZSy65hO7du+co//LLL/PYY4/RvHlz6tatS8+ePbngggt49NFHGTRoEKeccgrLly/n7bff\nzrZwl4RzzjmH+vXrc+qpp1KvXj1WrFjBiy++yAUXXJCtcF9wwQW8+eab1KxZk+OOO46FCxfyxRdf\nhHxGgS8aIsL48ePp3bs3bdq04frrr+fII4/kjz/+YN68ecTFxfHRRx+xc+dOjjrqKC677DI6dOhA\n9erV+eyzz1i8eDHPPPNMie/RMEoTU+CLjgCoapaITMNNkS8Dsjf7Ebez4zScNWmJiNQA0nBbtu8T\nkYbAdOBaVV1ZFkInJyW2xS3+a3Ko2tiy9Yjq9epuOlTVhw31Ra5r/9/bfBtWb4g+qRSrPBFY3Gf4\n9H4zRvX9uhTrNQ5fhuJmNb4MSr8emIyLJtQetx4gHrfmIQl4yHOnKlUaNWrEqlWr8txhsSwp7m6O\nXbp0YdSoUbz88sskJSWRlZXFunXreP3112nWrBmTJk3iww8/pH79+jzwwAM89NBDOco/9NBDpKSk\n8NRTT7Fz5066d+9Oz549uf/++0lPT2fKlClMnTqVzp07M2vWLP71r3/lcrspqq/90KFDefvttxkz\nZgy7du3iqKOO4o477sgRmvL5558nOjqaKVOmsHfvXk477TQ+//xzevXqVWD73bt3Z+HChTz66KO8\n+OKL7Nq1i/r169O1a1eGDBkCQGxsLP/4xz+YM2cO06dPJysri+bNm/PSSy9x0003Fel+DONQI7bl\ncuERkXXARaq6zDt/CqcQz/DSL/HSawCbgaNVdbOIPAA8AtQCsnAL+J5S1XeC6s/2gQ9uqyQkJyX2\nAd4GapS0roJo2OCPxdHRmSX2qy9PbE+oNj+jSnRJLdhh4cGJcd9sSI0OjvteGhwAhs0Y1ffFQ1C3\nYZQIEekE/PDDDz/QqVPo2ABLliyhc+fO5JfHMAqLfZ8OL/z/708T6uaKA798/37OS91Uku9Cod5+\nLYxk0VCcD/wSLwrCsbjwczkzqe7EuRt8LyLfkzM29SW4DWHuloNbyPtf7fOKRFFskpMS78GF5Dvk\nyjvAlq1HlFpYzfKC+iSq4Fzlj/V/R/1vQ2rUKYeo+krA2D7Dp0/oM3x6eHaxMAzDMIzDFHOhKQKB\n0SGCCI48gao+DTwdkDTa+zvZO0LVHzISRXFITkqsAryCi45TZuzbF9MmM9O3OCoqq8JY4VUiU4Ef\n+2GNrSDNC85ZIq4HmvcZPr3vjFF9K9wuoYZhlIwDBw6wdWvwnlw5iYuLIyYmpowkMoyKgVngKyDJ\nSYn1gLmUsfLuZ8uWI6oUnCtyUCHiLMy/rK+0fMuOqLJaUHw68G2f4dNbllF7hmFECAsWLKBBgwZ5\nHg0bNmTq1KkFV2QYRg7MAl/BSE5KbAfMBIq+8qmU2LuvarvMTN+SqKisiuEIKBJxLyQvzahe1pFz\nmuOU+EtmjOr7ZRm3bRhGOeX444/n888/zzdPmzZtykgaw6g4mAJfgUhOSjwZt3FNrXDLsmXrEdF1\n62wOtxilggoRNbe7cEXlxbv3+sLhwlQLmNNn+PQrZ4zqG7wLqWEYhyFxcXGF2jzJMIyiYS40FYTk\npMSzgM8oB8o7wN69VdtnZvp+DLccpUTEKPCq6KSk6mWyYDkPKgHv9Bk+vdT3GjAMwzAMw2EKfAUg\nOSnxYpzbTKntrFoabN1aO3IDqOekXD3X/EhaHLNwf4a0KjjnISUamNJn+PTLwyyHYRiGYVRIzIUm\nwklOSuwHTKEc/i/37I09PjPT91NUVFaHcMtSQqqHW4DCkJHJgffnxx4Zbjk8ooG3+wyf7psxqu87\nBeY2jDCxcmWZ7KVnVHDse2SUNeVO6TMKT3JS4gDgTaDchjncuq12Vp2E8O9oWFwU9kXKItZpX8d+\nm5klp4dbjgCigDf7DJ8uM0b1nRJuYQwjkISEBGJjYxk4cGC4RTEqCLGxsSQkJIRbDOMwwRT4CCU5\nKXEgMIlyrLwD7NkT2zEzy7csypfVPtyyFAf1yS6g3Cvw+w6QnrQ4pjyGcYwCJntK/NvhFsYw/DRq\n1IiVK1eSmhq5BgajfJGQkECjRmELAGccZpgCH4EkJyWeD0yknCvvfrZtrZWRkBCZe/yoSDpwRLjl\nKIjJn1X7XlW6h1uOPPAr8b4Zo/q+GW5hDMNPo0aNTOEyDCMiMQU+wvBCRU4lgv536XuqdcrK2rrc\n59N24ZalqGT5ZE+4ZSiIXXskbcEvVY4PtxwF4AMmeZb4kDsRG4ZhGEZFIb91EaUxWxMxSqAByUmJ\nrXHRZmLDLUtR2bqt9r6EIyLPCq8+2RduGQri1U+q/wTl1voeiA+Y2Gf49F0zRvX9INzCGIZhGEZp\nsykzExHJd31N1apVWbVqVYmUeFPgI4TkpMQjgSSgdrhlKQ7p6dW6ZNXa+ovPpxG15V55V+C37vD9\ntXxdpRPDLUcR8AFv9Rk+veeMUX0XhVsYwzAMwyhNdmgWqsqgQYNo0KBBrusbN25kwoQJpKamlkiB\ntzjwEUByUmI8MBs4OtyylISt22qnh1uGopLlkwPhliE/Xvy4+mqQquGWo4hUBT7uM3x6k3ALYhiG\nYRiHggYNGmSvswk8Qin1xcEU+HJOclJiDDADaBtuWUpKenq1E7KyZEW45SgK6pPMcMuQF39uiUpe\nuzH6lHDLUUzqArP6DJ9eLnYONgzDMIxIwhT48s8k4LRwC1FabEurtTvcMhSF8qzAvzC9xp8gkesG\np9rqrAWbn5jZ8tnIvQfDMAzDCAOmwJdjkpMS/w+oUNvR795d/YSsLImYLeuyfKLhliEUa/6IXvXX\nNt9J4ZajuPgydd/ln/65sNmG9BuBZ8Mtj2EYhmFEEqbAl1OSkxK7A0+EW45Dwba0WjvCLUNhUZ+E\nW4SQvPhRjd0g5VO4AqiyLzPt6hkbVsXvyvC7//xjZstnbwyrUIZhGIYRQZgCXw7xIs68RwWNErR7\nd7WuWVnya7jlKAwqUu5+I0vWVFq6fbevc7jlKA41dx7YcPWMDVtj9md1CLr04syWz1YYVzHDMAzD\nOJSUO+XkcCc5KbESkAjUC7cshw4hLS1+W7ilKAzqK38K/PhZ1SPyxa7+5r0rr/j0zypRWTQNcbkS\n8P7Mls/WLWu5DMMwDCPSKHfKicEY4ORwC3Go2bW7etesLFkTbjkKQqV8LRL98qcq3+3Z74u4iEQt\n1+/6/sJ5fzcSqJNPtnrAhLKSyTAMwzAiFVPgyxHJSYlXA/8Itxxlg0ja9vhyvzWrCpXCLYOfLCVr\nyhfVjgi3HEXlxGXb5vf4bksngWqFyH7+zJbPltpvQESyRKRmUNo6EWlfiLKvibgdbkXkIhEp1oZZ\nInK+iMzL49pEEbkt4Pw+EVkuIg1EZIiI3FmcNvORpZqIZJVmnYZhGEbZU66si4czyUmJzYGXwy1H\nWdSq7pIAACAASURBVLJrV/Wu8fFp//OJNg+3LHkiUiXcIviZubDqwgOZcmq45Sg0qnruN5u/Ombj\nnh5FLPnUzJbPzr1g9R2lEa2o2FGEVDVwYe3FwFLgu0Mlh4g8hQsZe7qqpgGvFLOtfJspjCyHAykp\nKaSmpoa8tm/fPqpUyfunn5CQUKIdFA3DMEqKKfDlgOSkRB8u3ntsmEUpY0S2p8VtqlUrrdwq8CqU\nCwX+QAb7PlpQ9Zhwy1FYfJm6/7I5G7+vtfNAj2IUrwpMmdny2a4XrL5jfwlFyTdSj4isAyYDZ+O5\n8KjqY961eTiXtgPAhcBZInItMFZVJ4jIQOBWXD+6C7hNVZeJc7t6HjgL2Ap8U4CM0SLyGnAMcKaq\npnvtjwDiVPX/vHYHAptxm7rtBfqr6nov70jgSq+9OcBAVW3iXRsC3AnsBKYH3X8v4HEgCtgG3KKq\nK72Zh7HA18CpuNnagcAwoBOwG7hEVTcWcG/lkpSUFFq3akX63r0hr4sIqnm/51StWpVVq1aZEm8Y\nRtgwBb58MAw3SB527NxV46T4+LTfRGgWblnyoGq4BQB498tqi7JUuoVbjsJQeX/m9itm/bmu6v6s\nknynjwceA+4uJbHyI05VTxGRI4DfRGRCoGKqqp+KyMfAj6r6PICInAIMwFnLD4jIacAUnHI9BGgB\ntMa9QMwpoP37gOVAL1U9kE++LkAHVU0RkX8D9wI3i8j5QF/vWrqITMCzsotIW+Bh79omEXnMX5mI\n1AXeBrqp6goRuRJ4H2jjZWkFXK2qt4jII8AXwMmqukZExgJ3eDJEHKmpqaTv3cvz8bVpEZ1zGJy7\ndy9P7drBoEGDQm55vnHjRiZMmEBqaqop8IZhhA3zgQ8zyUmJxwKjwi1H+BBf2vb4v8ItRT4Uxm/7\nkLJnn+yc92OV48ItR2GosevAH1d/vCG16v6s40uhujtntnz2jBLWkZcZNTB9CoCqbgHWAk0KUe9F\nQHtgkYj8CLwAxItzuToDmKyqmaqaQcELc+cBxwGnF5Bvoaqm+D9D9kvvGUCi33IPvB5QpicwS1U3\neecvBVw7EVimqisAVHUK0FBEGnrX/6eqS73Pi4HVqupfeP4d7iUlomkRHU27/2fvzsPjOsu78X/v\nM4s0kuVN8iI7ceItTkKczYmykTgEaCgUSIEEyAaY/gql/ZVSCrTvS+GwtUBKm4b1sJgkbIWWYoJN\nYrIQ2Y5jK7GdeLdjx7ZiS7Y12qXZz9zvH2ecyLIkazTLMyN9P9c1V6yZc85zS17ynWeecz/B4GmP\neX4fAKC+vh7z5s074zFUqCciKjYGeIOOrP1vH7ylM5WGSzGqt7fmOlUcMl3HMCaZLuDHa6u3KqTO\ndB1nMysc2/u+37f4/em8fZoiAB5afcH903O4RhuAwTf+1gE4OeDrgesoXIzuk0kB8JCqXqmqV2Qe\n56hqfIhjz7bmfAOA9wD4hYi8aYTjxlJnLgaPV+zxiYhoGAzwZn0KwDWmizBPrO7uKS2mqxhMgQRE\njHah6e6X8HP7glearGE0Fh3pf/6dT504x8r//gXnAPhODuevhbekBQAgIvcCOKiqJ7K8Tg+AKQO+\nfgTA3SJybua6IiKnNtd6IvOaX0SCAD50tour6gYA7wLwMxF5c5a1PQXg3ZkOMzJovKcAvCWzXAYA\nPjrgtU0AlorIxZnv4X0Ajqpqyf1dJCKi0zHAG3Jk7X9fAuALpusoFT29k69VxWHTdQyklvSZruF7\nq2t2AVJjuo6RXLWja/0tm8OXS+E+rXjv6gvuv3WM534C3rKQF0VkK4D3Abh9wOuDZ8d1mF//BMB7\nRWSLiKzIBO5PA/hNZgnNTgDvzRz7AwAHAOwGsA7AthHqe3UMVX0G3lr2n2RuLh0VVV0D4LeZcTYD\n6Mo8oKq74K2B3yAiWwBEB5wXBnBXZrwX4L3RuR1ERFTy+BGoAZmuMz8GEDRdS+kQX3fPlGNTp3Sf\nb7qSU1QkAiCX5Rs5aeuyju1t9l9ravzR+JMNJxvnt0SXF2Gob6++4P5L/mz/3w3dNmQYqtoB4N4R\nXl8w6OuGAb++ZcCvn4d3g+rAY38F4FdDXDOFUe7noKorBn29EcDszJdrBzz/EICHBny9BsCaAafe\np6qfBwAR+Qa8NfKnjv0BvDcVp3xlwGt/wBA32apqI7xuM0OOp6o/g3cDLBERGcAZeDP+Al5HCRqg\np2fyNapoPvuRxaGWRM9+VOF8c1XNIaB0+tAPZKU1eftjLc8UKbwD3g2b/1SkscrRwyKyVUR2AzgX\nwD+bLoiIiAqHAb7Ijqz97+nw+i7TGcTf0zP5iOkqTklbktVsbz4dOeE7+Eqb7zpT448kmEh33/27\nozun9ySL3fr0M6svuL/sO58Ugqq+K3ND7cWqekfmkwciIhqnGOCL70s4sysGZXT3TLlOFUdN1wEA\nakmumwiN2bdW1YQB8ZkafziT+lOt9/zu6MlQPH2FgeErAPy7gXGJiIhKCgN8Ea1a07g0nK68UBXG\nb44sXeLv6Z1cEi0l1ZKRNtUpmN1H/LvCPb6S6040sz2+7/2/Pwa/qyZnwf8shxtaiYiIxgUG+OK6\n75X05Ft2ubW9MfU9e/bDJ6bu7inXlsIsfNoS18S43/1djZE3DiNZ2Ny/5bYnj8+xFKWwi81/rL7g\nft6AT0REExYDfJGsWtN4K4BbASAJX/0et/a6Q+7krenS3cDIIAn09tYY/7moJalij7lpT3BLX9TK\nxy6mebNsV9eGN24KXyZAqbSzvAjAX5kugoiIyBQG+CJYtabRAnDf4Oe7tPLK7e6Mue3pykZV9Bso\nrWR1dU+9RhVGN5RRS862g2Z+x1Pog2snVRVzzLN508a2p6/a1f16Kb2Ws59ffcH9xnfJJSIiMoEB\nvjg+BGDpUC8oJNicnrx8t1vbHVffpiLXVcIk2Ntbc8BkBWmRoo73+JbKTfGkXFTUQYdhpTX57j+0\nbFh4NHKz6VqGUQvgY6aLICIiMoEBvsBWrWn0A/jc2Y5LwDdnt1t77SF38hYuq/FkZuFbTY2vlhTt\n74ebRupXjVWlsL4cgWS6967fHd1e15V8velazuKTqy+4v6Q+sSAiIioGBvjCez+AeaM9uEsrl213\nZ8zt8JbVRApYVxmQit6+mv2mRlcpXoD/3w1Vz7ppOb9Y4w1nUn+q9Z5HjrZUxdPLTNcyCjMB/KXp\nIig3IvJPItIkIj0ickJEfiMiFwxx3BdFpEVEIiLyuIgsMlEvEVEpYIAvvE9le4JCgke8ZTWdcbU2\nF6KoctHVNfUaVZwwMbZaxVn3nUgi+mhTpfENimZ0xF96/++PIeDqEtO1ZOFTqy+4vyR3q6VRuxHA\nNwFcA+BNAAIA/iAioVMHiMhnAPwNvDdsDQD6AawVkWDxyyUiMo8BvoBWrWl8K4ZZ+z4aCfjm7nbr\nrjnsTn4+rSiZHUqLSyr7+ibtMzGyigSKMc5PnqhuUpXZxRhrOPOP9m/98yeOzyyRNpHZmAPgw6aL\noLFT1beq6k9UdY+q7gDwQXifWg78FOjjAL6kqqtVdSeAe+H93t9W9IKJiEoAA3xhfTofF+nUyqu2\nuzNmd6QrGlURzcc1y0lX99SrVXGy6AOLFHxmtz8m3Rt2VlxW6HFGcvme7mfevDG8VIApJuvIwWdW\nX3B/Ud5sUVFMBaAAOgBAROYDmA3gyVMHqGoPgM0ArjNRIBGRaQzwBbJqTeM1AJbn63oKqTiSnrJ8\ntzu9Pa5WU76uWw5UrVBf/6Q9RR8XKHiA/8HvJ20DZGqhxxnOLZvaGq/Z0XWDeMsWytU8AB8wXQTl\nTkQEwP0ANqjq7szTs+EF+sFL6U5kXiMimnAY4AvnM4W4aAL+c3a7dQ2H3ZrnJtKymq6uqVeroq2o\ngwpCZz9o7Dp75eSLBwMNhRxjOJLW1J8/3rp+cXMkb28yDfsn7s46LnwHwMUA3me6ECKiUsYAXwCr\n1jReAOCdhRyjU0NXb3dnzO6cIMtqVK2q/v7qXUUetqAtCr/9SM1eQIreBjGQTPfdtfrYCzM7EzcW\ne+wCWgDgPaaLoLETkW8BeCuAm1V1YPvY4wAEwKxBp8zKvEZENOEwwBfGp1CEn61CKg6npyzf404P\nJybAsprOrmlXqyJcxCGrC3Xh1nbryMEWf9HX71ZHUifueeTo0eqYe1Wxxy6CvzJdAI1NJry/E8Ab\nVLV54GuqegheUH/jgOMnw+tas7GYdRIRlQoG+DxbtaZxNoB7ijlmHP5zd7l1DUfcmqa0ovnsZ5Qn\nVau6P1KcWXgFkoW8ifWbq2qOAcXpcnNKbWfi4J1rjiUDrl5YzHGL6KbVF9x/sekiKDsi8h0AdwG4\nE0C/iMzKPCoHHHY/gM+KyNtFZCmAhwEcBfDb4ldMRGQeA3z+fRhFuPlxKB0aatjuzpjZma54WhUx\nEzUUWmfntGWqXneKQlJL+gp17YMt/n2tHb6izr6fdyzywrsfb62zFOcUc1wDPmq6AMraRwFMBvA0\ngJYBjztOHaCqX4fXK96B130mBOBPVTVR7GKJiEoBA3z+3W1ycIVUHk5PuXmPO/1kQq3nTNZSCKrW\npEikanvBxxEp2C643/ptTS8gUqjrD3bpvp6Ntz7TdnEZt4nMxj2PL/lSQW8+pvxSVUtVfUM8Hh50\nnK2qc1S1SlVvVdUDpmomIjKNXRvyaNWaxqsAlMTyhDj883a5dfNqJdp0rtU7R2T8zLx2dE5fVlUV\n6RJBwdovqlWYG4NfOBh4savPKtr685ubwk9fcLh/uXg3AY5bFlK9031Htk21jtVbkr4d3hILIiKi\ncYkz8PlldPZ9KO0aanjRnVHb5S2riZuuJx9UrZpIpOqFQo6RtqQgS5B+sGZSUf7OSVrd255oXbfk\ncP/N4zm8V0rP/nP9W9ctDGyQ6b5XbrIkvRjACtN1ERERFRIDfJ6sWtPoB/B+03UMRSGhQ96ymuNJ\ntZ43XU8+dHROv0IV3YW6vlpW3t/srNte0RSJW0vzfd3B/Kl0/51rjm2d1ZG4qdBjmSBIx6dZzc8s\nDGzYMS+w9YKQ1XOTCCYNOOSm/ZfctsBYgURERAXGAJ8/bwYw03QRI4nDf95Ot+6qZrdmsyqOmq4n\nF6rWlGg0tK1g17cklc/rpRXpnz5ZPS2f1xxKVTTVds8jR49MirpXF3qsYgsgcmSu/8XGRYF1fTP8\nL9/gk9Rwb4YE3JmViIjGMQb4/Clq68hctGvomhfdGdO70sFGVZRtF4f2jtqCzcKnRZL5vN6azaFn\nkylZnM9rDja9K/HyXauPxYMpHUetFNWdYrVsXhDYuOX8QNO8aqtzuQhqR3EiN3UiIqJxiwE+D1at\naZyEAu+8mm8KqTqUnrp8rzu9pVyX1WRm4QuyFl4tSefrWikXiVXPhM7L1/WGMq8l8uJ7/tA6bby0\nifQjfqLet+vpxYHGk7P8+6/xS2KZSFZr+S/ef8ltJXFDORERUb4xwOfHuwFUmS5iLGLwn7/Trbvq\nFXfSJlW0mK4nWx2d0y9VRW++r5vPAP/Lp6s2pdNSsGC9dH/PxrdsaLtQgIIv0Sks1UnStvX8wKZN\n8wPP1tb42m4WQX0OF3x33kojIiIqIQzw+VFy3WeyFdaqa190Z0ztLrNlNem0b1o0FtqS9+ta+enT\nHkug78mtlRfl41pDuem59sbrXui8TgxtHpYPFpJdM337GxcH1h2eE9h1ZVBi14rkpcVtTgFeRA6L\nyB4R2SYiO0XkY2O4xsdFpKD3xojIB0TkN4Ucg4iISgsDfI5WrWmcAeAW03Xkg0KqXvaW1RxLqpX3\nUFwoHR3TL1VFXndOVSs/nRcfXDvpeYXMyMvFBlJNv+Op4+suOtRXtj3eQ9K5a57/uQ0LA89UTPW1\nLBfR+Xke4or9l9yWyzUVwB2qegWAtwL4FxG5ZDQniscC8HcAZudQw2hpEcYgIqISwY2ccvdGjLM3\nQjH45+906+bXSWTTOVbfeTkuYyi4dNo3PRarfDoUit2cr2uqiC/Xa/RGpGPz3uCV+ahnIH8qHbnj\nsZadNRG37NpECtzIdF/zlmnWK3WWpF9XhCHfDeDfcjhfAEBVm0VkH4ALROQtAD4IwAWwHcDHVLVX\nRD4PYCmASQDOAfArAHMA/FJEoplz/hzAFFX9ewAQkb8GcJWqfkhE/AAegPdvSjuAjQCWqeobRGQW\ngF8AqAFQCeCPqvq3OXxfRERUxsZV8DTkTaYLKJSwVl273Z0xObOsJq9dWfKtvaN2qSr683U9tZBz\ngP/e6kk7AJmcj3pOCUXdtnseOXqoJuI25PO6hVYhvQfP8W9rXBRYn6z1HbnRknTBlhUN8q58XERE\nlgJYAi+QfwjAdap6GYAIgK8OOPRaAHer6iWq+kUALfBm8a9U1e3DXP7U7PlHACwEcBGAGwFcOuC1\nLgB/pqpXA7gMwHwRuSMf3xsREZUfBvjcjdsADwBpSHVmWc0rSZWtpusZTjrtq43FKvPWTUdFgrmc\n39Zttew+ErgmX/UAwLTuxKG7Vh+NBlNajJnrPEgnp1qvbFwY2PDCeYEtC6us7uUimFLkIq7Zf8lt\n03M4/5cisg3Ad+Ht8Ho+gF+q6qkbp78Lbw+IU36vquFB1xjtEqdbAPxUVdOq6gJ4aMBrFoCvi8gL\nALYBWAbg8qy+EyIiGje4hCYHq9Y0LgRQ0PaApSIG/4Kd7gzMkMizc62+80txWU17R+3Fc+cci4jk\noSOQSCCX07+9quZlQObkXEfGOcejO9667uRcAXIJo0URQPToDP+Bg9XSfrEIrjdcjgUvGP/PGM+/\nQ1V3nPpCRAZ/P4PXnp/tXowUcNqnO5UjHDvw2n8PYAaAq1U1KSLfOMu5REQ0jnEGPjfjevZ9KG1a\ndd12t66mpwSX1aTTvhnxeMVz+biW5hCOXjnpe/nISd91+agDAC4+0LvpretOLi7t8K7pydbx5+YH\nnn3u/MDmOZOs9uUiyP/Nu2Pz5rMfMqzBs+dPALhDRCZlvv4IgLUjnN8NnPapwwEAV4mIJSJVOL1T\nzlMA7hQRv3hvIO8d8No0AMcz4X02gNvH8L0QEdE4wRn43Ey4AA8AaViTDqanLg8heXCRr6vHL3qF\n6ZpOaW+vvWjOnJaoCEI5XSiH87+5quYkIAtyGj/j9VvaGy8+2HejlOibbR8SbXW+g7smWycXiejV\npusZxlj/np7R2UVVHxOR1wHYJCKv3sQ6wjW+CeCHItIP7ybW/4UXvncDOApgK17bQ8IBcAmAXQA6\nATwPb809APwngP8RkR3w1tU/PsbviYiIxgEG+DFatabRAvAG03WYFEVg4Q53BmZKZOMcq2+BSFHa\n5Y3ITftnxuMVjZWV8eU5XmpMy3D2Nvt3t3X7rs1xbEA1/fanT6yf05bz91EQ1RJ+cYb/YH8A0atE\ncLPpes5iwf5Lbjv3gp2rXsnmJFUd8k2Yqn4DwDeGeP4LQzz3IwA/GvT0e4a5bkpEPqWqfZmOND8D\n8GzmtVcADHlPhao+hNPXyxMR0TjHAD92lwOoNV1EKTipVdeH3cre+VZ3Y40kb8jTJjxj1t5Re+Gc\n+paYSE5rhKvHctJ3HqmJ5zAmAMCXSkfvWNv64uT+VEmFdwupnlrf4W1TrJa5lqQvM11PlpYD+Knp\nIkbhCRGpgLeEaz28tpJERESnYYAfuwm5fGY4aVg1B9PTloeQPLDI19XnFzXWIcN1/bPiiYp1lRXx\nMfVJVyAFkazDf9Pe4NbeqJVT3/fKmNv+vkePtVQkNfdZ/DyplO69M30H2iqk90oRlNSbiizcjDII\n8Kql8/tORESlq+ABXrwNcT4L4H0AkvC6MDQB+LSq9hR47LcB+AdVLcRSFwb4IUQRWOQtq+nfOMfq\nXySCgm4jP5z29trFc+pb4iKoyPZcFekDMDWrcxT648cm5dQVZGpP8sh71rbAp1iay3XyQeBGp1mv\nbJ3me2WqT9zXAbjQdE05Mt0Nh4iIKG+KcWPcSgBXArhGVS9V1Svh3YBVrI4aed9ifNWaRgGQty4j\n49FJrb5+u1tX2ZsONKoiVezxXddfn0gEN4/lXLUQyfacJ7dVbo4l5eKxjAcAc09Ed97xWEu1T822\nJQ1K/6Fz/C80Lgqsj9f5D9+QCe/jwZL9l9yWe3tRIiKiElDQGXgRWQivTdq5A2fbVfXXIjJLRJ7C\nEFuDi8gHANwNoA1eV4YYvH7Mh0faUnzAVuRvAtABYMOAWvK5FfkieNul0wjSsCYfSE9bXoXkSwt9\nXRG/aFHXTYfb6xbNqW9JiCCrTZnUkmg2x7tppH75dNWs7Kp7zUUHezffuKXjUkGOnXPGLJ2aYrU+\nX+s7HPQheYUI5pupo6AsePetbDRdCBERUa4KPQN/JYCXVLVziNc6MfLW4FcB+EdVvRTAkwA+M4rz\nPgJgMbytyF+fGf+UfG5Fzh0QsxBBYPEOd8ZlLW71M6poK9a4ruufk0gEN2V7nloSy+b4Vc+Enk25\nMqbQe/22jsYbt3RcbSK8+xFrrffvfHpxYF14lv+la/2SvFJk1LuGlqOSaXdKRESUC5O9pX0YeWvw\nZ1W1+dSvASwcxXm3AHhYVV1VTcFbvnNKPrciZ4AfgxNafcMOty7Yq4F1qnCLMWZ7e+2CbDecSouM\nupNMIoXY7zeHFmVdmKq+7ekTjUtf6l1e3B7vqjXWyS3zA5s2zw9smlljhW8uhfafRZLTDcZERESl\notA3sW4FsFhEpg0xC/9JjLw1+MBZUBev1ZrNluKF2oqcAX6MXFhTDrjTbqpCct9CX1fcL3ppIcdL\nuYFzEsng+opg4sbRnqOWNerA//MnqzenVbLqzOJz07Hb17Zum9JXvDaRPiQ6an2Hdkyxjp8vosuK\nNW6JYYAnIqJxoaAzf6p6EMCvAfxIRF7dTlxE3gXv4+yxbA0+0pbiTwC4O7MVeRDAh0Z5XrbKrQd2\nyYkgsGSHW7e0GMtq2ttrz8/mRtq0JaM6NhKT7sbtFVm9AamMux33PHJs/5S+VFFugq6Sjh3n+Z97\nZkFgY9VUX+tyETV6k6xhr9t/yW1Z3Q9BRERUiorRB34FgH8GsFlEkvDeNKwD8HEAvx7D1uAjbSn+\nA3g3ve6GdxPrenhLZc523qitWtM4GcDcsZxLg4mc0Oobwm6oe4Gve101kjeIwJfvUVKpwLnJZGB9\nMJgc1Sy8WjKq5T0/fHTSC8DoZ9+n9Cabb1/b4vrSKOinDoJUX63vyNap1rFZlqSNt6QsIQF4/z5s\nNV0IERFRLgoe4FXVBWBnHoONamtwVV0DYE3m1yNtKZ4C8NfDvDbseVkq937YJceFNeWl15bVJPyi\neQ+d4fa68+pnt6ZGs0usWpI+2zFdfdK27UDgqtGOX38ytvvtT5+YId4yroKokN6XZvpeaq2UnitE\nMKZNrCaAJWCAJyKiMsedWLN3kekCxqvMshqdLZENs63+C0VQl69rp1KBeclkYEMwmHz92Y5NW3LW\nTizfeaRmDyCjCslLDvU1LX+u/RIB8t6HXJCOT7WObpnua57kk9Sl8Low0fD48yEiorLHAJ89zsAX\nlMhxrX59mxvqyiyreb1Ifu7VCLfXnVM/u9U92zIdtUbO78c7rFdeOuYf1Rr2a17sXHfZvp4bBPld\nGhRApHmm/8DLVdJxiQh3Gc1C9h2DiIiISgwDfPYY4IvAhTX1JXfaTdVI7Fno63Z9opfkes1UKnB+\nMhV4JhhI3jDScSoy4huGb66qeQWQc0ccTFX/dP3JdfOOx/LYaUbdydbxLXW+Q5YPiWUimJe/a49f\nyUDqZDQUPxGtinXHKhPuBaYLIiIiyhEDfPYmchePoutH8KLtbp3OtvrXz5bIxSKozeV67e21c2bP\nOp4eaVZfreH/Xrzc6t/f0u67dqQxLFfjt/+hZcvU3vy0ifQhfnKG7+DuGqttsYg25OOa44lC3URF\nsjUaip+MVsf6oqG4xisTFcmAW6uicyCYCWBm5vCFI12LiIioHDDAZ69gNyHScESOpyfd2IaqzoW+\nrnVVSI15WU0yGZyfSvk3BgKpYZedqEhguNe+9dtJ3cDwM/QVcbfrfY+2HKlMpHNe1lItbdtm+F+O\nBRC9SgQ353q9cpaWdDxemTgarYq3R6pisVgoofGKRLXrd+tUMBeCcwCcM4pLzf7vD1xccftDu0e9\nWRcREVGpYYDPHgO8IS6safvd6TdVI7F7oa8bPtGLx3KdcHvdrBFn4QVD9grf/nJge2ev7+rhrju5\nL3n09sda4v702PcJsJDsrvUdfmGK1XKuJXrFWK9TjlzL7YmFEi2RqlhXtCoei4XivkQwVeP63ZkA\nZkOwELnPoAuAcwEcyLlgIiIiQxjgs5DpAV9huo6Jrh/Bi7e7del6q3/9LIm8TgTTszk/mQwuHGkW\nXiFD/h47qycNe3frrLbYnnf88UStNbpZ4DOEpGv3DN+B9grpWyaCou3QWmxJf6otVhU/EamKdUer\n4slYZSKYDKQmp33p2fC6Dk0uQhlzwQBPRERljAE+OzPPfggVh1it6Uk3nkRVx0Jf1/oqpG7IZllN\nuL1u5uxZx1UEZ4ZyQWjwUxt2VjwXiVtDzr4vPtz33Bua2i8WoDqr7wBuZLqvecs062itJe6YPk0o\nNQpNJ4Kp1lhVrC1SFe+NVsXS8cpkRdKfmqaWzoFgBsx/ipXTfRRERESmMcBnx3TwoEFcWNP3u9Nv\nnCSJXQusbhntsppkMrgolfI/GwikhmoHeVqATyvSDz9ePXWo61y9o3P9FXt6rs+mTWRQ+l6e6Tvw\nSki6LhfBqHaHLSVp0US8InEsWhUPR6tj0WgoromKZFXK79Zlbhqdi9LerTirT2yIiIhKDQN8dhjg\nS1SfBl+33a1Lz7H618+UyCUimHa2c9rba+tmzTox1Cz8pIFfPNpUuSmZktOX26jqrc+0rTu/JTrK\n5S7p5FSr5fnpviMhvyQvB7BgdOeZ4VrpvlgofiwaindGq2PxaChhJYLJSa7fnQFgDgTzAcw3ccIn\nHAAAIABJREFUXecYcQaeiIjKGgN8driEpqSJ1eItq2lf6OvaEPKW1Qy7bj2RrFjsur7Nfr97zann\nFHAh8uoMfMpF8jcbqk5b1265mnj3463PTe9JnjW8+xE9NtN/4KVqab9YBKPa/KlYUv5UezSUOB6t\ninVHq2KJWCgRSLy2Hn0GgCWmaywQzsATEVFZY4DPDmfgy0AKVu0+d/rrM8tqLJ/oRcMdG26vmzpr\n5muz8Crox4AbKf9nXdWzblpuOvV1MJHuft/vj70cSqRH2AxK0zXWia11vkNpP+LLRMwsJ1GoJoOp\n49FQ/GS0KtYTrYq7scpERSqQmpr21qPXYmLORk/E75mIiMYRBvjsMMCXkdeW1fStmynRS0Vwxjr2\nRKJiycBZeLXk1QAfS6D/D1sqX915t6Y/1XLHoy0Rf3ro9o4+JMJ1vpd3TrZOLBTRqwr0bZ1GRZPx\nikRLtCreFqmKRWKhuMYrk6GU361V0bkQ1AOoL0YtZYQz8EREVNYY4LPDJTRlR6yWdM1NJ1EdHm5Z\nTbi9bvLsWScAAGpJ5NTzDz8+6XlVWQ4AM8Pxfe/84/EplmLR4BGqpH37DP/B3iAiVxdiw6W0lY7E\nKhPHolWxjojXH10SFcnqlM+dCcEcCM4DdwjOxpgCvIgcAvBOVd2exTn3AehV1S+KyEcATFLVb4xl\nfCIiolMY4LOTVZtAKh0pWHX73Omvr5HEjvlWV8AneHVmPZGouCiV8jX5/W6DisQAoDcqnc/uDl4O\nAAub+59/46bwEgFqTp1jIdU73Xd421Srpd6S9KU51+dzu2KhuLeJUXU8EatM+JPB5GTXl54FwSwA\ni3Mdg151RpvQYlBVx8S4pU5EbgTwKQDL4H1adJuqPjLg9R8D+MCg0x5T1bcWr0oiotLCAJ8dNV0A\n5aZXg0u3uzPcuVbfuhkSvUwEUwCgvaN20qyZJ5G2JAEA3189aTsgy5ft7Fq/bHf3dZL5u1IpPftm\n+F46USm9V4rgppHGGkihmgykTsRC8ROR6nhvtCqWilcmKpKB1JTMevSpwJlLfKgghtxpdxQUAETk\njwCeB3ANvMD5hKr+Vea12QAehLehVwuAdgB7Mq99HsBUVf2EiFwC4Lvw3kxUAvi5qv7LWL+hMlcN\n4AUAPwLwv8Mc8yiADwKvfnoWL3xZRESliwE+Owzw44L4jqVrbjqBqrZFvu5nKpG6Ph6vvDiV8j2v\nlrjtPVbrzsOBhjc/09a44FhkucCNTbOObp7ma57sE3cphunOolA3XpH0+qNXxfqiVXGNVyRCqYA7\nLbMefTaA2cX9XmkIgTxcYwGA5fB2Zt4tIteo6mYADwDYrKpvEZE58ILpngHnnfo35BCAW1Q1KSKV\nADaKyBOq2pSH2sqKqj4G4DEAEJHhukbFVbWteFUREZU2BvjsMMCPIyn4Zux1p8+okfj2BVZ3RXtH\nbWjy1O6u7/2mev971rb66ru7zp/hP9BYJZ1LRXADAKQlHYtXJo5FquLt0apYNFoVl0RFssr1uTPU\nW48+D8A8w98ajSwfAf6XqqoAYiLyAoCFADYDeCOATwKAqraIyCPDnF8F4LsicjmANLwZ+8sBTLgA\nP0o3i8gJAJ0AngLwWVXtMFwTEZExDPDZYYAfh3q14tIX3Rnu3GjfM6GD0ZPLf/F8YJZvX8id2320\nvTqGY6HErkQwWeP60rMBzIJgIbzARuXJysM1YgN+7WL4f0uH+zfjXwC0AbhMVVVEfg1vKQ2d6VEA\nv4b3qcVCAP8K4Pcicl3mTRQR0YTDAJ8d/s9iHFGoq0gfTvhix/sD3anDgY6aY88fjPQt7VkYwPTu\nCp0UDWlUq9MRqdaIVms0GtJYzIe0kZsgybhhNwUb4HEAHwZgi0g9gHcA+PYQx00DsDsT3pcAeDOA\nxrxVOo6o6q8GfLlLRHYAOAjgZgB/NFIUEZFhDPDZYYAvUwqNpMV9Oebr7+wLdKE32DG9P9CzQCV9\n2mx6ytJ1afEtjsOHuFSgBzWAb/DFtMNCui2AZHelJmJVGk1XpyOBao1MqtLo9JDGZlnQsd4oSYU3\nmiA+FB3038HPA8DfAXhQRHYCOAbgyWGu9WUAPxGRD8ALo8MdR4Oo6iERCQNYBAZ4IpqgGOCzwwBf\nBhTalrISzVF/X29voKOiN9g5O+brPw+CS/IygMj0NHzTvZBfiW5MPj3kex/rt/ngtgU01VOJWLwq\nHcUkjQSqNFpTrdHpFRqbZfHvnynuWE5S1QWZX94y6Pk7Bvz6OIC3DHP+Fwb8+gUAS8dSx0QnIufA\n20231XQtRESmMEBkhwG+hChUFdqc9MVa+v09id5gR3VfoPPcpC8xCyZ3zfU6acxw4Z/hih8xVKLL\nGtQhUtUF0OqH2x7QZG9IY4kqjaJaIxXVGqmpSkdrK5CYKflZr02n6zddAL1GRKrhzaaf+mRkgYhc\nBqAj8/g8vDXwxzPHfQ3AfgBri18tEVFpYIDPDgO8IQqNp8V9Oe6LtPcFutO9wY6p/f7uBWnLLc9d\nSEV8AOpT8NenxI8oQujAtNOPUU0KtMUHtyOoyb5MyJdJGqmsSkemVGm0tgJJc29Uylef6QLoNFfB\nWwqjmcepnWofAvAxAJcCuBfePgkt8IL751Q1WfxSiYhKAwN8dhjgi0ChXa4kD0f9fd29wU5/b6Bz\nZtTfNx+iF5murahEAgo5JwXrnJQEEEEV2gcfoxoX6HE/3M6gJvpDGktWa8SqTkdC1RqdEtLojCBS\n04a6/ATGAF9CVLURI3/SNOSSJCKiiYwBPjv86D3PFOljCSt+NBLoifUGOkN9wc65CV9sLrye2HQ2\nIhUKOS8J67ykBNCPaoRRe/oxqv0CPRlAqjOoiUiVxlLVGvFVpyOhKo1Mq9LYDD/cyWa+ASN6TRdA\nRESUCwb47JwwXUC5UmhKkX457ou29Qe6Uz3Bjin9ga75rpWaC2Cu6frGNZFqhcxPIDg/IUH0YdKZ\nx6j2WEif9CPVVamJaEijbnU64q/WSFW1RqeFNDbLh3RV8YsvCM7AExFRWWOAzw4D/CgotNeV1KGY\nv7+rL9ApvcHOGRF/z3wVvQDABabroyGITE7DNzkBHxLDt8/stJA+GUCqu1LjA9tnVg9on1lhpP7s\nMMATEVFZY4DPznHTBZQahR5PWvFXov7e/t5gZ2VvoHNO3Bc5F4JLTddGeSYyLQ3ftFM98odvn5kO\nBzTZU4l4rCod1WqNBDM98msrS6N9JpfQEBFRWTP9P9JyM2Fn4BWaVujhhC96vD/QnewNdNb0BTvn\npazkbACzTddHJeDV9pm+Ga74Mu0zp5x+jGoawHEf3PagJnsqNZ6o1ggyIX9yVTpWW4F4odtnhgt4\nbSIiooJjgM/OhAjwmV1LD8V8/R19gS7tDXbU9gd65qukFwBYcNYLEA1HxAIw24V/djTTPrMTZ/TI\nTwnQ6kOqfWD7zGqNVFanI5OrNFoXRLJOxr6jKjcAIiKissYAn51xt4RGoeGUJJqjgb6e3kBn0Nu1\ntO88CF5nujaaoET8CsxNITD3LO0zT/jhdrzWPjNqVWt/ZXU6OiWk0ZkjtM9kgCciorLGAJ+F2962\nvGfVmsYogJDpWrKV2bX0laQVO9Yf6En0BjurvF1L47MB1JmujygrXvvMeUlY815rnzmIasQL+anO\nCk1EQpn2mbVuV4uJkomIiPKFAT57JwCcb7qIkSg0noZ7KO6PhvsDXemeQMfU/kD3/LTlzgMwz3R9\nREUhUqWQ+UkE5ycz7TPbAD3sn3fUdGk0cTU3NyMcHv42jLq6Osybx3+miWhkDPDZK6kAf9qupYEu\nf1+wY2bE33c+RC80XRtRCTrpOE7MdBE0MTU3N+OiJUsQiQ3/R7CqshJ79u1jiCeiETHAZ8/YjayK\n9LGklcjsWtoR6g12zkn4YueAu5YSjdZh0wXQxBUOhxGJxfDA1OlY7D/zf78vpVL4264OhMNhBngi\nGhEDfPYOF3qAzK6lh+K+6Mn+QHeqN9gxuY+7lhLlwxHTBRAt9vuxNBg0XQYRlTEG+OztyefFMruW\nHo75+jv7gl3SG+w4tWvpYgCL8zkWEXEGnoiIyh8DfPZ2jfVEhZ5IWolXov7evt5gR2VvoLM+7ovM\ng2BpPgskomEdMF0AERFRrhjgs3fWAJ/ZtfRIwhdt7Q/0JHsDHZP6gl3zUlZiFoBZRaiRiIa21XQB\nREREuWKAz9Jtb1vesWpN4wlkgrhCo2lxX475Ih19gU7tDXbW9ge656uk5wOYb7ZaIhogAWCH6SKI\niIhyxQA/Bl3Bk7/tD/Rc0hfsnBX19Z3PXUuJysIOx3ESposgIiLKFQP8GByesqsPwPWm6yCirGwx\nXQAREVE+WKYLKFNcR0tUfhjgiYhoXGCAHxsGeKLywwBPRETjAgP82OwD0G+6CCIaNd7ASkRE4wYD\n/BjYDXYawAum6yCiUeMNrERENG4wwI/detMFENGocfkMERGNGwzwY/e46QKIaNSeN10AERFRvjDA\nj90GABHTRRDRqDSZLoCIiChfGODHyG6wEwDWma6DiM6qxXGcF00XQURElC8M8LnhMhqi0rfGdAFE\nRET5xACfmz+YLoCIzooBnoiIxhUG+BzYDfZOAK2m6yCiYcUAPGG6CCIionxigM8dwwFR6XracRxu\nukZEROMKA3zuuA6eqHRx+QwREY07ftMFjAMM8ESla7XpAoiytWfPniGfr6urw7x584pcDRGVIgb4\nHNkN9nG7yd4CYJnpWojoNLscxzlsugii0TrpuhAR3H333UO+HgqFsHfvXoZ4ImKAz5OfggGeqNRw\n+QyVlR5NQ1WxYsUK1NfXn/Zaa2srVq5ciXA4zABPRAzwefILAPeBP0+iUsLlM1SW6uvrGdKJaES8\niTUP7Ab7BNgTnqiUHAew0XQRREREhcAAnz8/MV0AEb3qQcdxXNNFEBERFQIDfP78FkCP6SKICArg\nB6aLICIiKhQG+DyxG+wogP8xXQcR4SnHcV42XQQREVGhMMDnF5fREJnH2XciIhrXGODzqxFAs+ki\niCawMIDfmC6CiIiokBjg88husBVeT3giMuMhx3ESpoug0RORG0XkERE5JiJpEXnHEMd8UURaRCQi\nIo+LyCITtRIRlQoG+Px7EEDadBFEE9QPTRdAWasG8AKAj8G7Afk0IvIZAH8D4C8BNADoB7BWRILF\nLJKIqJQwwOeZ3WC/BK8jDREV13rHcfaaLoKyo6qPqernVPW3AGSIQz4O4EuqulpVdwK4F8AcALcV\ns04iolLCAF8YXzNdANEExJtXxxkRmQ9gNoAnTz2nqj0ANgO4zlRdRESmMcAXgN1gb4Z3QysRFUcn\ngP82XQTl3Wx4y2pODHr+ROY1IqIJiQG+cDgLT1Q89zuOEzNdBBERUTEwwBeI3WA/CmC76TqIJoBO\nAPebLoIK4ji8dfGzBj0/K/MaEdGExABfWF83XQDRBPDvjuP0mC6C8k9VD8EL6m889ZyITAZwDYCN\npuoiIjKNAb6wfgngiOkiiMaxDgD/aboIGjsRqRaRy0Tk8sxTCzJfn5v5+n4AnxWRt4vIUgAPAzgK\ndvsiogmMAb6A7AY7BeAbpusgGse+4ThOr+kiKCdXAdgGYAu8G1a/AWArgC8AgKp+HcA3ATjwus+E\nAPypqnLDLiKasPymC5gAfgTgcwDqTBdCNM60wwt2VMZUtRFnmUxSVRuAXYx6iIjKAWfgC8xusCMA\nvmq6DqJxiLPvREQ0ITHAF8cDAF4yXQTROBIGZ9+JiGiC4hKaIrAb7KTdZP8DeNMVUb78m+M4faaL\nIBovmpubEQ6Hh329rq4O8+bNK2JFRDQSBvgisRvsR+wm+wkAbzJdC1GZawPwLdNFEI0Xzc3NuPDC\nCxGNRoc9JhQKYe/evQzxRCWCAb64PgHgBQA+04UQlbFPOY7Tb7oIovEiHA4jGo1ixYoVqK+vP+P1\n1tZWrFy5EuFwmAGeqEQwwBeR3WDvtJvs7wP4K9O1EJWppx3Hech0EUTjUX19PQM6UZngTazF9zkA\nXaaLICpDCQAfNV0EERGRaQzwRWY32GEAXzRdB1EZ+prjOPtMF0FERGQal9CY8S0AHwGwxHQhRGXi\nAIB/MV0EUbkaqcvMnj17jI3N7jZEY8MAb0CmreTfAPgDADFdD1EZ+CvHcWKmiyAqR83NzbhoyRJE\nYsX/K3S2sasqK7Fn3z6GeKIsMcAbYjfYT9hN9ncA/LXpWohK3M8dx3nCdBFE5SocDiMSi+GBqdOx\n2H/m//afisVwX19P0cd+KZXC33Z1sLsN0RgwwJv1aXh94bmUhmhonfDarxJRjhb7/VgaDJ7x/IFU\n0tjYwMhLeLjEhmhoDPAG2Q12xG6y7wGwEfy9IBrKPzqOc9J0EUSUfyddFyKCu+++e9hjuIEU0dAY\nGg2zG+zn7Cb7KwA+b7oWohLzFIAfmC6CiAqjR9NQVW4gRTQGDPCl4csA3grgatOFEJWI4wDudBxH\nTRdCRIXFDaSIssc+8CXAbrBTAO4BEDVdC1EJcAG833GcE6YLISIiKkUM8CXCbrD3wbuplWiisx3H\nedp0EURERKWKAb60fBvA46aLIDLoD+CGTURERCNigC8hdoOt8JbSvGK6FiIDjgG423GctOlCiIiI\nShkDfImxG+wTAN4BoN90LURFlIK37r3NdCFERESljgG+BNkN9gsAPgCAHThoovis4zjrTRdBRERU\nDhjgS5TdYP8awBdM10FUBGsAfN10EUREROWCAb60fRHAr0wXQVRAewHcy37vREREo8eNnEqY3WCr\n3WR/EMBCAMsMl0OUb0cB3Oo4TofpQoho4mlubkY4HB7ytbq6Om4uRSWNAb7E2Q121G6y3wngOQBn\n7jVNVJ46AbzFcZxm04UQ0cTT3NyMCy+8ENHo0PsnhkIh7N27lyGeShYDfBmwG+xjdpN9G4BGAJWm\n6yHKURTA2x3H2WW6ECKamMLhMKLRKFasWIH6+tPnxlpbW7Fy5UqEw2EGeCpZDPBlwm6wm+wm+24A\n/wX+vlH5SgG4w3GcZ0wXQkTj20hLZPbs2QMAqK+vZ0inssQgWEbsBvvXmRD/MwA+0/UQjcFfOo6z\n2nQRRDS+NTc346IlSxCJxUyXQlQQDPBlxm6wf2k32T4AD4MhnsrLPzmO82PTRRDR+BcOhxGJxfDA\n1OlY7D8z6jwVi+G+vh4DlRHlB9tIliG7wf45gA8B4JbzVC7udxznq6aLIKKJZbHfj6XB4BmPeX7O\nf1F5Y4AvU3aD/RMAHwZDPJW+hwH8vekiiIiIxgsG+DJmN9gPAvhLANwEh0qVA+BD3KiJiIgofxjg\ny5zdYP8IwEfBEE+l5+uO43zUcRx+SkRERJRHDPDjgN1gfx/AX4MhnkrHZx3H+YzpIoiIiMYjBvhx\nwm6wvwvgLgAJ07XQhJYG8P87jvMV04UQERGNVwzw44jdYP8CwJ/A26aeqNhiAG53HOdbpgshIiIa\nz9gHfpyxG+xGu8m+AcCjAM4zXQ9NGB0A3uk4zgbThRARlbKRdogFgLq6Ou4OS2fFAD8O2Q32HrvJ\nvhbAbwE0mK6Hxr0jAN7iOM5e04UQEZWy5uZmXHjhhYhGo8MeEwqFsHfvXoZ4GhED/DhlN9jH7SZ7\nOYAfAbjTdD00bjUCeJ/jOMdNF0JEVOrC4TCi0ShWrFiB+vr6M15vbW3FypUrEQ6HGeBpRAzw45jd\nYMcA3GU32TsBfAWAGC6Jxg8F8FUA/+w4jmu6GCKiclJfX8+ATjnhTawTgN1g/yuA2wD0mK6FxoV2\nAG9zHOf/5BLeRSQgIl8TkZdEZJeIvCgi92ZeO09EPjLo+EMicmmOtVMZEpHPi0h60GO36bqIiExh\ngJ8g7Ab7EQCXA9houhYqa88CuMJxnEfzcK2HACwAsFRVXwfgHQD+UUQ+BGA+vA3K8kpEfPm+JhXN\nTgCzAMzOPF5vthwiInO4hGYCsRvsQ3aTfROAzwL4ZwAMM5SN/wDwGcdxkrleSEQWwQvs56hqDABU\n9YiIfBLA9wBEAMwTka0AmlX1tsyp7xaR78ELcitV9SuZ680C8AC8zkshAL9V1c9lXjsE4JcA3gBg\nP4B7cq2fjEipapvpIojKFbvfjC8M8EUgImkAU1W1Z8BzhwC8U1W3i8hyAP8KoBJABbyWfO8a+D8r\nEWkEUK+qF+RSi91guwC+YDfZfwDwU3gzoEQj6QbwIcdxfpPHa14B4CVV7Rr0/LMAzgVwO4D/q6pX\nDnp9iqpeLyK1AA6KyEpVbYU3m/8VVV2fmWVfLSLvVtVfZ86brqrX5LF+Kr7FInIM3n4DzwL4J1V9\nxXBNRGWB3W/GHwb44tDhXsiEjf8FcIuqvph5bjGA/gHHLIIXatpE5CZVXZdrQXaD/azdZF8O4JsA\nPpDr9Wjc2gpvc6aXTReS8XMAUNV2EXkZwHwR6QbwRgAzReTUjdrVAJYMOO/BolZJ+bYJwAcB7ANQ\nD8AGsE5ELlHV/hHOI5pQhptl37NnD7vfjDMM8MUxUveXmszjxKknVPWlQcesAPAwgOMA/gJAzgEe\nAOwGuxfAB+0m+/fwli1My8d1aVyIAvgSgH/Lx5KZIWyDN6M6TVUH7hx8PYBmAMMtlYgN+LUL798w\ngfcm+RpVHa7WvhzrJYNUde2AL3eKSBO8/QfuAPBjM1URlZbm5mZctGQJIrHYsMew+834wQBvmKp2\nici3AewXkfXwPhr+5akQLyIWgHsB3AigE8BXRKRGVXvzVYPdYP/KbrI3AvgJgJvzdV0qW2sBfKyQ\ns+6qekBEfgfg+yJyr6pGReR8AP8G4IsAegFMGeW1+kXkjwD+D4AvAICI1AMQVW0pRP1klqp2i8h+\nAItM10JUKsLhMCKxGB6YOh2L/afHu6diMdzXx0Z04wm70BTHcEtoFABU9RMAXgfvRrsLAGwVkesz\nx7wNwMuqeiizXvgJFGBjJrvBPgrgFgAfgjfTTxPPcQDvdxznLUVaMnMvgEMAdojILgCPAPiaqq4E\nsB3ALhHZISKrMscP/ns08Ou7ACzKHL8dwK8B1A5zHpU5EZkEL7y3mq6FqNQs9vuxNBg87THPz54V\n4w1n4IujDV6YGPj2tw7AyVNfZG7GehjAwyLyXXgfDW8E8GEAF2bW+wq8G13nA3DyXaTdYCuAB+0m\n+9cAPgfg4wAC+R6HSo7C+/P0j47jdBdtUG+5y6czj8GvufC61Ax8bsGgrxsG/DqMYbrLDD6Pyo+I\n3Afgd/CWzcyF90lLEsAvTNZFRGQKA3xxrAXwEQD/CACZzWoOquoJEakGcKOqPpZ5LQTgIgD/IyIz\n4c2Kzz21ZCZzk95REVmqqjsKUWxmbfyn7Cb7h/BaB/5pIcahkrAdwEccx9lkuhCiEZwD7wbmWngT\nIhsAXKuq7UarIiIyhEtoiuMTAOZkdprcCuB98NrkAd6s+kdFZK+IbAPwXObxHXjdYdYOXO+uqgpv\n1unDhS7abrD32Q32WwG8HcCBQo9HRdUHb+Z7GcM7lTpVfb+qnqOqIVWdp6p3quoh03UREZnCGfgi\nUNUOeOt9h3qtD8BtQ70G4L5hzvmHPJU2KnaDvTrTN/7vAfxfAJOKOT7lVT+AbwO4z3Gc4Xf0ICIi\nopLFAE+jYjfYCQBftZvshwF8Bl47yyqzVVEWGNyJiIjGCQZ4yordYLcA+LjdZH8ZwN8C+BsAU81W\nRSPoh7cc6z7HcbgNPRER0TjAAE9jYjfYbQD+2W6yvw7go/CW18w2WxUNEMFrM+4M7kREROMIAzzl\nJNOx5j67yX4AXg/5TwFg2z5zeuG1hLzPcZyTZzuYiIio0JqbmxEOD716s66ujrvDjgEDPOWF3WDH\nAXzPbrJ/AOC98IL85WarmlA2AvghgF85jtNvuhgiIiLAC+8XXnghotHokK+HQiHs3bu3ICF+pDcO\nQHm/eWCAp7yyG2wXXr/mn9tN9mXwWmHeCWCW0cLGpzCAnwD4oeM4u00XQ0RENFg4HEY0GsWKFStQ\nX19/2mutra1YuXIlwuFw3oP02d44AIV981BoDPBUMHaD/SKAv7eb7E8DuBVemH8HgAqjhZU3BfAE\nvNn2VY7jJAzXQ0REdFb19fVFDcojvXEACvvmoRgY4Kng7AY7BWANgDV2kz0V3hKbewFcb7Sw8nIY\n3mz7SsdxDpsthYiIqDwU+41DsTDAU1HZDXYXvJssHbvJXgwvzN8K4Frwz+NASQDrATwK4PdcIkNE\nRESnMDCRMXaD/RKALwP4st1k1wB4A4A/yTwWm6zNkGPIBHYATziO02u4HiIiytJIN07u2bOnyNUU\nh6nveSL+rE9hgKeSkGlH+UjmAbvJPh+vhflbAEwzVlzhxAFsxmuz7NsN10NERDlobm7GRUuWIBKL\nmS6laEx9zxPxZz0QAzyVJLvBPgzg+wC+bzfZPngtKS8HcOmAx3RjBWavE8ALmce2zH/3OI6TMloV\nERHlTTgcRiQWwwNTp2Ox/8yI9VQshvv6egxUVjimvueJ+LMeiAGeSl6mNeWWzOO155vsuTg90F8K\nYAmAQLFrHCAN4ChOD+rbHMc5YrAmIiIqosV+P5YGg2c8fyCVNFBNcZj6nifizxpggKcyZjfYx/Da\nunHvuSY7AGA2gJnwes+P9JgGwDeKodIA+gEcH/RoHeK5k47juLl/d0RERERDY4CnccVusJMAXsk8\nzn58ky3w/h74Afh9k30WvF7rSQApACnHcbRA5RIRERFljQGeJjS7wT4V1r3P2hoArDBZEREREdHI\nLNMFEBERERHR6DHAExERERGVEQZ4IiIiIqIywgBPRERERFRGGOCJiIiIiMoIAzwRERERURlhgCci\nIiIiKiMM8EREREREZYQBnoiIiIiojDDAExERERGVEQZ4IiIiIqIywgBPRERERFRGGOCJiIiIiMoI\nAzwRERERURlhgCciIiIiKiMM8EREREREZYQBnoiIiIiojDDAExERERGVEQZ4IiIiIqI9yhEzAAAg\nAElEQVQywgBPRERERFRGGOCJiIiIiMoIAzwRERERURlhgCciIiIiKiMM8EREREREZYQBnoiIyoKI\n/LWIHBKRqIhsEpGrTddERGQCAzwREZU8EXkvgG8A+DyAKwC8CGCtiNQZLYyIyAAGeCIiKgefAOCo\n6sOquhfARwFEAKwwWxYRUfExwBMRUUkTkQCAZQCePPWcqiqAJwBcZ6ouIiJT/KYLICIiOos6AD4A\nJwY9fwLAkiGOrwSAPXv2DHmxU88/FYvhQCp52mvPxRMAgB07dqC1tfWMc8Ph8GnXyMZI455tbFPj\nFnJs/qz5s+bP+kzLli27EsBeVY2MVIN4kxhERESlSUTqARwDcJ2qbh7w/NcA3KSq1w06/k4APytu\nlUREebNMVbeOdABn4ImIqNSFAbgAZg16fhaA40McvxbAXQAOA4gVtDIiovzbe7YDOANPREQlT0Q2\nAdisqh/PfC0AmgE8oKr3GS2OiKjIOANPRETl4N8BPCgiWwA0wetKUwXgQZNFERGZwABPREQlT1V/\nlen5/kV4S2deAHCrqraZrYyIqPi4hIaIiIiIqIywDzwRERERURlhgCciIiIiKiNcA09ERERUACLy\nVgCuqq4d9PytACxVfbTA488EMBODJmxVdXshx51IRMQP4E4Aa1V18GZzBcMZeCIiohGIyHTTNVBu\nROQLInKegaG/OszzMsJrORORZSKyE0ArgO3wbvreNuC/lCeqmgLwPWR2gC4WBngiIqIhiMifiMiv\n4O0CW4jr+0TkH0SkSUSOi0jHwEchxiwVIjJZRD4oIl8SkWmZ5y7L7LpbCO8EcFBEnhSRO0WkokDj\nDLYYwL4hnt8LYFEBx10JYD+A6wEsADB/0H8pv5oAXF7MAbmEhoiIKCMzS7sCwAcATAPwKIB7CzTc\n5wH8BYBvAPgygK8AOB/AbfDaZeaViGwDMKrWc6p6Zb7HH1DHJQCeABABcC6AHwPoBPBeAHPh/ezz\nSlUvF5ErAHwIwH8C+LaI/BeAlar6XL7HG6AbXmA+POj5RQD6CzjuAgDvVtUDBRzjNCLSidH/+SrY\np1oi8h4AdwCYByA4aNxC/bn+DoB/F5FzAWzBoN/bQixZYoAnIqIJTUSCAN4FL0zfBOBJAOcAuEJV\ndxRw6LsA/H+qukZEbAC/UNWDIrIdwLUAHsjzeKvyfL2x+g8APwfwSQA9A55fA+CnhRpUVbcB2CYi\nnwTwdnhh/hkR2QvgRwAeVNXuPA/7WwD3i8ifq+pBABCRRfDetD2S57EG+iOAywAULcAD+LsijjUk\nEflbeG+EH4T3qcuPASwEcDWAbxdw6P/K/Hfg31nF/2PvvuPlqqr+j3++offeFCkBBPxJR7CAVAFR\nOgKigIgKSBce5EE6IoJKEVCw0URsdERApeODFEFBOgRCkRJ6b1m/P9YecnIy9+YmmTOTe/N9v173\nlcw5Z87aM3fuzJ591l47U6UCmKrTAV0H3szMpliSTiInoL1Kph38KiIek/QOsFxE3N1g7NeApSNi\npKT/Ap+LiH9KGg7cHhGzNRW7lyS9CKwcEQ9KeoV8nh+WtAhwb0Q0mktcvrBtRl5pWRv4O/ABcoGw\nr0fE7zoYazbgcmBl4PGyeUHgemDziHixU7FqcecFziYf213AO9X9EdHkl4eeKV/GDo+Ic2uvrSOA\nOSNi94bi9ju/IiIe7XRMj8CbmdmUbDcyf3W7iHigy7EfBxYARgIPAesB/yRHC9/qclu66R1g5jbb\nFwdGNRVU0krkqPsXyef3LGC3VpqJpD3IEdSOdeAj4iVJnwQ+Q46IvwH8OyKu61SMPnwMWKXEHadZ\nNDAi3BdJ0zNuKsvLfRw+qRYiv7RAPtezlP+fDdwENNKBb6KDPj6exGpmZlOyLwGvAHeXCY7blBHa\nbrgAWKf8/yTgSEkPkB3LX3U6WJkcO3f5/wv1SbNdnEB7CXBwKb8HEJI+SFZlOb+JgJLuJDtwiwI7\nAR+KiANqOeLnAvN0OnakKyPiBxFxchc67wAnA+cAC0TEsNpP4513STNJOlnSM2Q++Au1n6Y8BbTy\n60eSqWiQv3c1GBdJ20m6UdKTrRF5SXtL2qSReE6hMTOzKZ2kRcnR2R2AmcgJrFtHxB+72IZPAJ8A\nHoiISxo4/w7AbyPiLUlfoZ8JhxFxZqfjV9oxB9lRXwaYHXiMTGG5BdggIl5tIObBZHpUIxWFarH2\nBH4WEW+W//cpIjo9z6HVhleA5Vt5990m6RRgLeBgcvR7N3KC8s7AARFxTkNxfwE8FhGHS9oN+AFw\nI5nCdH5E7NRQ3F3JiecnAN8BPlpSd74C7BARa3U8pjvwZmZmSZLIVJadgI3JlI7zI6LfjphNOElr\nkGklM5OpQ1fEEOiUSBpB5vg/V/7fl4iIRko6SjoTuD4iftHE+QcQfySwfURcI+llYMUy52E74IsR\nsWFDcYeRC2S9W25vQ5bSfAA4LSLebiju3cCBEXFhLff+o8A1ETF3x2MOgb8VMzOzjisLOG0P7BgR\ny3XonBsP9NgmJxpKugq4NiIOr22fAzgvItZuKnYvSJoK+AqZstRuZdKh9ni/Q1aF+RNwJ+NOYm1k\n5L8S/1XgI2WC9uPkhN2by5WuOyOi3RyIQUvSG8BSEfForQO/BDnnYYZOx/QkVjMzs5qSn/12RJxA\nXhbvlHopx1apufo2aHai4ZrAMqU2+pciolW3elpgjQbjIul44MGIOKW2fTdgeETs20DYE8kO/J/I\nqixDffTya2RlpTUY9/cZdL5Ead3DZN75SHLRqq3IyeIbAR2tvCNpWeCuiBhd/t+nJuqxFyPIhZzq\nk1k3AO5pIqA78GZmNsWStBEwV0ScUdn2HTJ3d+oyUr11RHRk4l1EvD/yK2ld4BjgQOD/yuZPkIs6\nHdiJeOOxLnAacJOkjSLikS7EBPgC2ZGruwn4X7I+fKdtA2wVEZc1cO6xSDpuoMdGxLeaaENELNrE\neSfA6WR61LXk5ORLJO0OTAN0+jHfAcwPPFP+3+5LMTRbfec4cnGw6UvsVSR9kXw9f62JgE6hMTOz\nKZakq4E/tkaDS8m/64FDyJGzo4A/N9HRknQXsEtE3FDbvjo5CXLpTsesxBhNdnpeIjtbnyE71vcA\nTzZZqUTSm8D/q0+wLAsc3dVEHXhJTwJrRsT9nT53m1hXD/DQ6EbqTpnXQS/nF5SqLCuRV146Ogpe\nzj0yIqIX9dgr7fgScBi5cBTAk8ChEfHLRuK5A29mZlOqUuZu/bJKZ2v09CMRsUG5vSFwYkQs0UDs\nN4CPRcRdte3LAv9oIm+2EuM9ssTgM+X2QcBB5BWBgxruwP8HOCUiflLbvhuwexNfXJSrrw4v558i\nOj6Stgf+B2i9du8HfhARZ/euVUOfpBmBmVt/W01xCo2ZmU3JZgGeq9xeDfhD5fZ/yBKHTbgFOE7S\ndhHxNICk+cjSdzc3FLNlrBSDiPiupHuAxspHVpwAnCBpLuCqsm0dYH9gv4ZirkaWNfxs+QJRn9S5\neUNx3yfpQyXWY12I9S3gSLIe/I1l82rAqZLmjojjG47fV9WmAN4EHgSui4j3OhBrspgYXonxOvB6\n03E8Am9mZlMsSQ+Sq3FeIWlmsjO/dkTcWPavSJY37PgCPyVl5ALgw2QtdIAPkSXvNq0tMtTp2O+n\nHdS2fxRYqck68CXOHmSe/3xl0+PAYRHR8QWsSrzT+9sfETs2FHdq4FBgT8asPvsquXDX4RHxTl/3\nncS4I8j0jbNq23cgn+dGc+RL/HmAGRmzcNMcZMf2VbIS0MPAWpP6haakg1XVc+Dff403dWWpfPH+\nIWOqHNW/IHc8rjvwZmY2xZJ0NLAp8D1gQ7Jm9PDWyKCkb5D1rFdrKL7I/POlyqZ7gL9OQWkeCwBv\nRERHK5NMLiT9FNicnFNRnah8GHBhROzaUNw3ycWEHqxtX4Is49jxeQa1OFsBuwJfa811KF9YTwN+\nDtwA/BZ4KiK27GDcfieGR8RfOhWrFvfPwELkFY//UqtyFBEXdTzmFPIeYWZmNg5JM5Cdio3IZdi/\nERHXV/ZfDVweEcf0qImNkbQyWd5vIbJ85Pu6kVIyJZD0ErBNRPy5tn1D4NyImK2huHcBv4mI79W2\nH0RWVVqmibiVOA8CW0bEHbXtK5DrDAwvE8bPi4gFOhi3JxPDS+331euPt0nOgTczsylWRLxBLtbU\n1/6OL4FeJWkmsk53u050Y7W6ywqVZwFXkCvPXkmm8sxHpvU0RtI8wLH0vajStO3u14G4W9L3F5YV\nm4gJvAU80mb7CKCRVUGLQ4HfSfo0Y3LgP0U+51s1GLflA7TvY05NVj+CrNIyS4fjLkb7OvMvAYt0\nOFbVY7QvXdkYd+DNzGyKJekF2i/q8xJZteOHDV52XwG4jMwTngl4HpibzBN+hmYX2zkQ2CciTimj\nh3uRncrTyBSAJp1BdrR+QJt0gyaUSZVHldibkKUzFwM+BpzS9z0n2cnAwZJ2jIi3SlumA75T9jUi\nIs6TtCqwD5kiBpmetUqr4lLDrgZOk/S1SoWnFYCfMmbi8jLka66TejUxfG/g+5J27tZ6Ck6hMTOz\nKVaZ1NfO7GTd6q3JVIBLGoh9DfklYRfyC8NyZHWUX5OlK8/vdMxK7NfIWuyPSHqOrJF+p6Slgas6\nmdbQJvYrwKe71JFsxbyXnDR6bm2p+yOAOSNi9w7Gqv/e1iVH4v9Vbi9HXgH421BNVZI0P3A2OeLf\nmqg7NfA3YLuIeFrSWsA0EXFlB+N2bWJ4my//M5GP8XXGrXI0Z6fitngE3szMpljjq7Yi6Q5yNcWO\nd+DJpdd3LkvAvwdMVzqV+5PlHBvrwJOVQVrpC08AHwXuJL+4zNhgXMiKM90ePVwI+Hv5/xuMeexn\nkyvAdqwDT34ZqzqvdruRMpKSZh3osRHxchNtqJz/KeAzkpYiO9MA90XEfZVjBrrg1YTEfbCso9CN\nieF7d/h8E8QdeDMzs75dSi5w1IR3gFYJvGfITuY9ZAfwQw3FbLmO7OTcSda9P1HS2mXb3xqOvQ9w\ntKSvR8TjDcdqeQqYE3gUGAl8nBwRX5QO5y43VZJyAF5k4F+MGluoqyoi7gXu7UasSswg53R0bGS/\njzjdWDOhT+7Am5mZ9W06mptseDuZg/0AcC1whKS5ge2Au/q7YwfsDrRKCR5Ffpn4JDla/N2GY59N\njoA/Kullxk03mLeBmFcBG5PP+enA8WVS68o0e6Wjm6oTrhcBvk/m/FfLKe5AXlFqlKR+6/lHxFcb\njL0OfU+QbiRufWXjyva5gGdcB97MzKyLJJ0ALBURGzRw7pWBWSLiaknzklVhPkl26L8aEf/q9wQT\nH3dqYFtygaqnm4gxnvg79bc/In7ZQMxhwLCIeLfc3oYxz/VpEdHIl7SyoFGfHa2IGN5Q3L8Bv4iI\nc2vbtyVLpa7ZRNxKnHolo2nINK3ZyTkWjeT+SzqUrLl/K+3rsW/WUNzRwPxtOvAfAB6KiBk6HtMd\neDMzm1JJOq6PXbMBK5L5u5+OiNu616rmSXodWDoiHu11W4YySXvVNk0DrABsAPwgIr7fUNzXyYm6\nD9S2fxi4IyKanufQrk3DyCo0D0XEsQ3F+C+wf0Sc3cT528Tbs/z3eOBgcpXZlqmATwOLRMQKnY7t\nFBozM5uS9fXB+jLwF2DziOh0qbvJwc3kJNqeduAlTUN2at8XEa83FGt6YFnap1Zc3ETMiDixj7bs\nRqbvNOUx4OvA/rXtX6OhSbTjUyZrHwdcQ64D0IRpGTNZuRv2Kf+KrCb1XmXf2+QaALs0Edgj8GZm\nZj1Q6lP/kDH5umNNpmwib7YSeyvgaHLk8DbgtVrsfzcYe0bge+SCQvPV9zeSLyxtQKYozd1mdzT5\nXPfRnuHkSPiAK8dM4Pk3JOczPAj8o2xeBVgC2CIiLmsi7gDbdWZEzNPQ+Y8BXo2II5s4fz9xrwY2\nJwfGIyJGNR3TI/BmZma9cQZZeeZIurSgUcVvy7/tFosKmq1ScgxZ7WYfckLpnsCC5IjxAQ3FPIms\ntnNEL/L+29iSXLirERFxWUmX2ZUx5RQvAU6NiMZH4NukpglYAPgcWSK1KdMD35C0LvBvxp0g/a1O\nB5Q0O1k96gFgjrLtBfJv7KCIaLcy7KTH9Qi8mZlZ95UFhVaPiDt6EHvh/vY3mRsvaSSwQ5m8+wqw\nQqnfvQPwhYj4fAMxXy5xHur0uccT93bG/mImYH5gHuCbEfGzbranW8qIdNVo4FmyGtCvWpOJuxB3\nLBGxVn/7JyLenGSVnw8C55AdeYCPkBPFHwM+GREvdDIueATezMysVx6jwzXIJ8CrEfEcgKQPkaPf\nMwAXR8T1DceeC2h1pF+mjFqStelPaSjm+cCalbjdcmHtdqsje02pkd6IsphROwG8CYyMiLeait/p\njvJkHPcQMtd9sfqVHUmHkLXoD2FMrnzHeATezMysByStB+xLrsb6SJdiLkOmUrSWl98GuJxcBj7I\nVVi3jIh6x7OTbbiTHH2+vpQ7vC0i9i8TOw+MiA82EHMmMif8KXLxqnpqRbtUokGrlDVsdfBaXxKr\nHb53gN+Rr703G4h/FTkB/MXa9lmBCyNi7Q7HG0gt/4iILToc9xHyObyij/0bkGlLi3QyLrgDb2Zm\n1hMlT3ZG8mr464zbqZyzgZh/Bt4lF/nZDvg8cAU5Ag+ZK75SRHy807ErbdgPeCciTixfYi4mR6an\nA/4nIvoq7TkpMXcEfkaOPj/H2J3ZaKoee4k9FbAZsHTZdDdwUVNpJCXmRmSllx+SFYcgJ7HuCxxO\nvua+D/wuIvZrIH5fddHnBZ6IiGna33Oi450+kOM6vUqupLfI0fe2KwpLWhB4MCKmb7d/kmK7A29m\nZtZ9Jee7T00s1S5pFLB2RPxb0sxkCsvHWnXuJS0F3BQRs3c6dj9tGk6WVHwwIv7ZUIynyAm734+I\n0U3E6CPu/yOveMwH3Fc2f5hMo9koIhpZcVfSTcCh9ZFhSesDR0bEKpI2BX4UEYt1MG4rdecOYG3G\nnqg7FVn/fucmRqR7QdITwNYRcUMf+1cnvyR9oOOx3YE3MzObMtRHRssk0uUi4uFyez7gyabKKpa6\n75cCu9cXGWqSpOfJLyrdnsT6f2RnfYfWREZJc5AViOaJiE82FPcNctLuvbXtSwG3R8QMkhYB7u7k\nok59pO5UvQHsERG/6lTMXpL0K2Ax4DP11XwlTUde3Xo4Ir7a6diexGpmZtZjZZGhaavbIuLlhsLV\nR+66NpIXEe9IWqmbMYszga3J+vPdtDywcrUKSUS8IOk7wC0Nxr0XOEDSN1ody/Ll6YCyD7JySqdL\nai5KdtwfJlN2nq3sext4JiLea3fHQeoQ4FbgAUmnkM+tyHSpb5JpYds1EdgdeDMzsx4oEyuPIRc0\nmqvNIU3VYj+j5O5C1s0+VVJrIafpGopZdQ6wI/CdLsRqmQrYv6SQdKU+eHE/mT7zn9r2eclFlpqy\nGzm34HFJrUW5liGfh1aZzuHATzoZNCIeLV8UzgSea7Ic6eQgIh6X9AnyeTyasScM/4W80tRI3X2n\n0JiZmfVAGbFbCzgYOJvsdH0Q2Bk4ICLOaSBmTyb71dpwAtmBv5ccvayvArt/AzH7qw8ena6KUom7\nITmZ9DDgprL54+TI7QHA+7nTnb7iImkW4Etkzj1kDv5vIuKVTsbpI/aLZArPiKZjTS5KatQS5eaD\nEdHYQl3gDryZmVlPlAWNto+Ia8pCQyuWBY22A74YERv2uImNkNRfnfmIiE93rTENKznhLX2VdRT5\nuJtc/barJJ0J3BERx/e6LUOVU2jMzMx6Y04yVxiyGkyrbOQNwE970qIGlWozIyJi9S7HnYacPLl8\nU1Vf+tGTBY0AJC1R4s8LDKvui4gjGg7/AHCIpE8BtzHuVZYhVXe/F9yBNzMz642HyUl/I8l0kq3I\nmt0bAS/2c7/B6gFgAaBVAed3wJ71FSw7rUycHUlzcwr6i31tt2MCSPo6+SVwFLl41Vh174GmO/A7\nka/hlcpPVZAlPW0SOIXGzMysByTtA7wXET+WtC5ZL1xkNZp9IuLEnjaww8ZXwrLh2DsBmwPbNZ2b\n3Cb26uS8huHAFyLiiZImNaKv+uEdiPko8JOIOKaJ81vveQTezMysB6r5wRHx11KjeyXggYi4s3ct\nG5J2BxYHniyd23pKx4pNBJW0BTlB+RxgRcZU+ZkNOBBoap7DHMAfGjr3BJEkyCT/XrdlKHEH3szM\nrIskrQ2cDHy8WnmklOB7Efi7pG/VV9EcAoLe1aC/sEtx6g4CdomIsyRtU9l+Y9nXlD8A6wGnNhij\nX5K2B/6HUplF0v3ADyLi7F61aShxB97MzKy79gZ+3q5sYES8JOk0YA9yFcehRPRfgx6AiNi804Ej\n4vBOn3OAlgSua7P9JWD2BuM+CBwp6ePAnYxb977RHHRJ3wKOJL+o3lg2r0b+vud2dZpJ5xx4MzOz\nLiopHBtExD197F8KuDIiFupuy5rV6xr0kmYHtgQWI0eCn5e0IvB0RDzRUMyHgW+UFKn3c/7L6PQB\nEfGRhuL2V389ImJ4E3Fr8Q+NiLNq23cADouIRZuMPyXwCLyZmVl3zUdtRLTmXWCeLrWla5pcHGp8\nJC0L/JUc+V4E+DnwPDmxdSFg+4ZC/xw4UdJXyXShD5SVO39IjlA3YjLoIC8A/L3N9r+XfTaJho3/\nEDMzM+ugJ4CP9rN/WeC/XWrLlOI44IyIWAJ4s7L9MqDJhaO+D/wG+BswM5lO8wvgtIg4qcG4vfYg\nWRa1bmuynKhNIqfQmJmZdZGkk4A1gY9FxJu1fTOQteCvjog9e9C8IUnSS+RKtw/VUlkWBu6LiOkb\njj8tWQVnZuDuiHi1gRjHAQdHxGvl/32KiG91On6tLVsAvyOverRy4D8FrANsFREXNBl/SuAUGjMz\ns+76Lpm6cb+kk4H7yvalgN3IBYeO6lHbhqq3gFnbbP8w8GzTwSPibeDu1m1JUwHbRMQ5HQyzAjBN\n5f89ExHnSVoF+Bawadl8D7BKRNzeu5YNHR6BNzMz67Iy8vtTYH2yOgtkjvQVwG4R0d8kRJtAkn4B\nzEWmdTxPpim9R5aXvC4i9m4g5kxkFZoHWxWHyradyUpE80XEdP2cohGSZomIVxo69zBgP2ATckGy\nq8hJq280EW9K5hx4MzOzLouIRyNiQ2BuYFXg48DcEbGhO++N2JdMX3kGmAG4lszTfhX4TqeDlYmq\njwG3AI9KWk7Sl4FHS7zfkNVwOh13n/HsnwW4vNNxK74DfA94hZzrsSdwSoPxplgegTczM7MpgqRP\nAcuRnfl/RsRfG4rzN/KKyvHAl4CVgQ8AhwGnNDUiLekNYOd6+cayb2byCs9cEbFUQ/EfIEt0/qzc\nXhf4EzBDRIxuIuaUyh14MzMzG5LKpOB1IuLScvtooJq28i5wSH0ycQfijgLWjYg7JM0GvADs0PQq\npJK2BM4Gto6IiyvbZyI77/MCa0REI1WOyiJdi0fEY5Vtb5ZtjzcRc0rlSaxmZmY2VO0AfA64tNze\nHfgP0BoBX4os2dnplUHnBJ6E91fXfQ24qcMxxhERfywLVp0r6XMRcU3pvF9Orj/QWOe9mJqxy3RC\nrnkwTZtjbRK4A29mZmZD1ZeAY2vbto2IhwFKXvpudL4DH8AsZfRZ5fYMksaqhNOa3NrRwBG/kDQn\ncJGkTYAjyPSdNSLiyU7HqxFwRhmJb5keOLV8iWm1cfOG2zHkuQNvZmZmQ9XiwJ2V228C1Vzsm2lm\nkqWA+2u3b6/dDrJkaMdFxLGlE/834BFgzS6lsJzZZtuvuxB3iuMOvJmZmQ1Vs1PJeY+IeWr7hzF2\nTnynrNXAOcdL0vm1Te8Ao4ATJb2/sakR8IjYsYnz2rjcgTczM7Oh6nHgo4xZLKtu2XJMR0XEtZ0+\n5wC9VLt9bk9aYY1zFRozMzMbkiSdCKwLrFSvNFMq1NwK/DUi9upF+8wmljvwZmZmNiRJmg+4A3gb\nOJkxeelLkhVppgZWiIine9NCs4njDryZmZkNWZIWBX4KfIacPAo5gfQvwDdbFWnMBhN34M3MzGzI\nK1VZFi83H4yI53vZHrNJ4Q68mZmZmdkg4io0ZmZmZg0oq6AeAKwDzEuWrXxfRAzvRbts8HMH3szM\nzKwZvwDWAM4G/kvm3jdC0sYDPTYiLm6qHdYdTqExMzMza4CkF4HPRcSNXYg1urYpGDNpt3U7/xPR\nyAqw1j3Dxn+ImZmZmU2EF4CuTJaNiGGtH2A9snzmZ8nVaGcHNgT+CWzQjfZYszwCb2ZmZtYASV8G\nNgF2iIjXuxj3LmCXiLihtn114GcRsXS32mLNcA68mZmZWYdIup2xc90XB56W9AjwTvXYiFixoWYs\nBrzYZvtLwCINxbQucgfezMzMrHMu7HUDgFuA4yRt11pltqxK+wPg5p62zDrCKTRmZmZmQ4ikxYEL\ngA8Dj5XNHwIeADaNiAd71TbrDHfgzczMzBog6WPAsIj4R237qsB7EXFrg7EFfAZYqmy6B/hruOM3\nJLgDb2ZmZtYASTcDR0fEBbXtmwPfjohVu9CG6YG33HEfWlxG0szMzKwZHyHLOdbdXvY1QtIwSQdL\negJ4FVi0bD9S0k5NxbXucQfezMzMrBlvAfO32b4A8G6DcQ8CvgLsD7xd2X4X8LUG41qXuANvZmZm\n1owrgaMlzdbaIGl24HvAXxqMuz3wjYg4B3ivsv1fjMmJt0HMZSTNzMzMmrEfcB3waKkPD7A88DSw\nXYNxPwi0qzQzDJimwbjWJe7Am5mZmTUgIp6QtCzwJWA54A3gdODciHin3ztPmruB1YFHa9u3JPPv\nbZBzB97MzMysIRHxGvCzLoc9AjhT0gfJUffNJS1JptZ8vsttsQY4B97MzMysIZK2k3SDpCclLVy2\n7SNpk6ZiRsRFwEbAusBrZId+aWCjiGgy9966xB14MzMzswZI2hU4DvgzMAcwVYlhQFYAACAASURB\nVNn1ArB3k7Ej4vqI+ExEzBsRM0bEahFxZZMxrXvcgTczMzNrxh7A1yPiKMYuG3krsExTQSU9LGmu\nNttnl/RwU3Gte9yBNzMzM2vGorSfNPoWMFODcRdhzGh/1XRkhRob5DyJ1czMzKwZI8iykfVqMBsA\n93Q6mKSNKzfXl/RS5fZUwDrAI52Oa93nDryZmZlZM44DTpE0PSBgFUlfBP6XZlZEvbD8G8CZtX3v\nkJ33fRuIa12miOh1G8zMzMyGJElfAg4DFiubngQOjYhfNhhzBPCxiBjVVAzrLXfgzczMzBomaUZg\n5oh4ptdtscHPHXgzMzOzBkg6BLghIq6qbZ8J2DcijuhgrD2Bn0XEm+X/fYqIH3cqrvWGO/BmZmZm\nDZA0msw9/9+IOK6yfT7gyYhoVylmYmONAFaOiOfK//sSETG8U3GtNzyJ1czMzKw525MTWZcBdo6I\nt5sIEhGLtvu/DU0egTczMzNrQBmBnx+YBbgEeBHYlKxI09EReJuyeATezMzMrBkBEBEPSfo48Hvg\nNmCXJoNKmgr4Cln3fV5qC3dGxNpNxrfmuQNvZmZm1gy1/hMRL0vaEDiBMfXam3Ii2YH/E3AX5YuE\nDR3uwJuZmZk1Y0fg/dVQI2I0sKek24FPNxh3G2CriLiswRjWQ86BNzMzMxtCJD0JrBkR9/e6LdaM\nYeM/xMzMzMwGStLaku6WNGubfbNJ+o+k9Rtswo+AvSRpvEfaoOQReDMzM7MOknQxcHVEHN/H/j2B\n9SLi8w3FvwBYC3ge+A9Zi/59EbF5E3Gte5wDb2ZmZtZZywHf7mf/lcB+DcZ/EbigwfNbj7kDb2Zm\nZtZZ81Eb9a55F5inqeARsWNT57bJg3PgzczMzDrrCeCj/exfFvhvl9piQ5A78GZmZmaddRlwpKTp\n6zskzQAcDlza6aCSXpD0fJufEZKukPSZTse03vAkVjMzM7MOkjQf8E/gPeBk4L6yaylgN2AqYMWI\neLrDcXfoY9fswErA1sCWEXFJJ+Na97kDb2ZmZtZhkhYGfgqsz5gVWQO4AtgtIkb0oE3fIjvwn+x2\nbOssd+DNzMzMGiJpDmBxshP/QES80MO2fBi4KSLm7FUbrDOcA282CEhaTNJoSdv2ui1mZjZwEfFC\nRNwSETf3svNeTAe83eM2WAe4A2/jJembpfP4f71uy+RK0jSS9pZ0i6RXJL0s6R+SdpM0Va/bZ2Zm\nBuwE3NHrRtikcx14G4htgdeAVSQNj4iHe92gyYmkmYDLgU8CFwO/LLs+C5wEbCppo4h4s0dNNDOz\nKYCk4/rYNRuwIvBh4NPda5E1xSPw1i9Ji5Ad0wOBN4Av9agdkjRdL2IPwI/J52iXiNgsIk4tP5sA\newHrAMf0d4JuPz5JM3YrlpmZdc0KffzMDfwF+GhE3Na75lmnuANv4/NlsuN+OnARtQ68pGklvSjp\ntPodJc0u6S1J36tsm07SEZIelPSmpEclHS1pmsoxU5WUneMkbSfpP8CbZEcYSd+WdKOk5yS9XtJW\nNm0TfwZJJ0saVVJazpf0oXLuA2vHflDSGZKeKu26s59yXNX7LQTsAFwRET+v74+Ik4DrgZ1LWbGB\nPL45JJ1VntfnJf0SmLWP+EtLOq/yXNwsacPaMV8r8T4l6VRJzwBdr35gZmbNioi1+vjZJCL270Xl\nG2uGU2hsfLYFLoqIVyX9GthG0kqtb/AR8bakC4HNJO0aEaMr992cfI2dCznKDPwJWAU4FbgfWA7Y\nF1gM2KoWe31gG+AU4HlgZNm+J3Ae8Gtg2tLG8yR9NiKurNz/18CmwBnALcDaZIrLWKWXJM0P3ExO\n7Pkx8BywIXC6pJki4if9PD8bkpUFzu7nmLOA1crjOau/x1eeo0uAVYGfkLWDtyC/QNXbvQz55eBR\n4GjgdbLG78WSNo2I1iIhrfudBjwFHAbM0E97zczMbDLmDrz1SdJK5KIT+5VNVwLPkqPw1UtwvwO2\nA9Ytx7RsBdwfEXeW2zsAawCfioibK3HuAU6StHJE3Fq5/xLARyLiwVrThkfEW5X7nwL8C9inFV/S\nx4DNgGMj4oBy6KmSziKXsK76PrnYxvIR8VLZdpqk3wNHSPp5RLzT9kmCj5R//9XH/tY+AUvXto/z\n+CRtQabj7B0RPy7bTgWua3Pek4AHgVUj4r2y7SeSbiqPqb7K39MRsW4/7TQzM7NBwCk01p8vkR32\nKwBKJ/F35Ci8Ksf9BXiRHP0FQNJc5Ij3byvHbQncCTwkaa7WD3A12cFdqxb/b20679Q677OTK8zd\nQE7QadmAHHn+ae3uJzFmQY3WVYHNyPSgqWvtuhKYA1h+3KfmfbOUf1/p55jWvnoaTLvH91ngLeBn\nrQ3lqsbJtXbPTU5E+j0we6Xdc5O/r6UlzVM5b1TPaWZmZoOXR+CtLUnDyA75VcAilf7634E9yHzt\nvwJExLuSzgc2l7RzRLxLdtanIjuYLUuQi1k82yZkAPPWtj3SR9s2JifVLkfWtG2p1rZdGHg3Ih6t\n3b3eYZ6f7IR/k1zeeiDtqmp1zmfp55i+OvmPtDl2YeCJNhVr7qvdXqL8ezQ52l7Xanf1uW4Xz8zM\nzAYZd+CtL2sDC5BpMFvX9gU5Ov/XyrbfkvVl1wMuK/f7T0TcUzlmGFl/dj8qo8kVI2u336gfIGkt\n4ALyi8UuZE73O8DXyVzxCdW6CnUmmTPfTn/pMa3Htyxwdx/HLFf+re8f5/FNgFa7j2Hs30NVfbLS\npMQzMzOzyYQ78NaXLwNPkyPT9c72FuSk1V0q6SxXA88AW0u6lUzvOKR2v4eAJSPi6klo1+ZkTfoN\nKnnfSNq5dtyjZErMwrVR+CVqxz1VzjcsIq6aiPZcRn6h2Z6x04WqtievDlwxgPM9CqwmafraKPxS\nteMeKv++PZHtNjMzs0HKOfA2DknTk3nhl0TEBRFxfvWHzMeeFdi4dZ+Sp30esAnZ+R/G2OkzlNsL\nS9qxTcwZJA2kMsp7wGgyPad13+HARrXjriC/eHyztn0PKtVcypeAC4CtJNUnmbZyzftUvhycBawv\n6Wtt7r87sDpwWkQ83d+5isvItKD3v5AoV3Ldvdbup8i8/10ljZPiM752m5mZ2eDlEXhrZxMyb/vi\nPvbfxJhqNH+obP8dsCtwKHB7RDxUu98ZwBeAn0tal8ynn5qszvIFchLrv8fTtj+RZSSvkHQumebz\nTTJH/P+1DoqImyVdBOxXJnPeUs6/WOuQyjn3J68Y3Czp52RazJzAymTne/7xtGkvcmT/NEmfY8xI\n+4bA58kUl2+P5xwtF5DP7w8lLcaYMpLtFl7alaxOc1dp9whgPuBTZP77ypVj26Ustb4cvAP8NSLW\nG2AbzczMrIfcgbd2tiVrirfNrY6IkPQnYFtJc0TEC2XX9cCTZKd6nHSSiBgt6fNk3fftGJMO8xDw\nI8akhUB2sKPNOf4i6etkp/sE4OFyviWpdOArj+MHZK31Lcrj+RKZi/5m5ZxPlbKTh5Y2zU/Wgr+L\nAXS8I+KVkpu/ezn/D0rb7ynbTqum+4zn8UX5EnAimXrzHnBheYy31o79j6SVybruO5IVc54BbgeO\nbBOvnZnLv0+O73GamZnZ5EERfX2umw09pcN7M7B1RPxhfMcPdaWiz3nk8tr1SjdmZmY2GXIOvA1Z\nJZe/bi9yVPv6LjdncrUm8Gt33s3MzAYPj8DbkCXpcLK84zXkxNfPAZ8BTomIPXvYNDMzM7OJ5g68\nDVmS1gcOAj4CzETWmT8DODr8wjczM7NByh14MzMzM7NBxDnwZmZmZmaDiDvwZmZmZmaDiDvw1idJ\nh0kaXds2laRjJY2U9J6k88v2mST9QtJ/JY2WdFxvWj35kLSdpHskvS3p+V63x8xsMJC0cPkc2b62\nfQNJt0t6o3z+zNqheI9I+lUnzjW5Kp/doyUd2Ou2NK3dY5X0tbLtA71sWye5A99FknYoL6DWzxuS\n7pN0kqR5J/BcC0g6VNKykxD7CUmXS9pD0sxt7hZk9ZaqnYD9gN+TCw0dX7Z/p9w+BfgycPaEPJ6h\nRtKSwOnAA8DXgG/0tkX9k7RG5bWxbR/H3Fj2j2+1XLMhQ9JwSadJeqi8b74k6QZJe/ZRqrYTMb8o\naa8mzt1rlc+iFcdz6FgT9CTNSa72/Tq5+vZ25EKAA437ifKZ2a7TP7oer1ck/VvSI+M55sYyWDZo\n+3CVTnbr5x1Jz0m6RdJx5TO0k9ounjiYeSXW7gvgYOARYHpgNWBX4LOSPhoRb/Zz36oPkCuHjgAG\n2qGqxp6GXHF0TXJF029J2jgi7qwcfyRwdO0cawGPR8R+bbbfFBHfHWBbhro1AQF7RcSIHrdlQrxB\nrmD7m+pGSQsDnyj7zaYIZVXk35MrN59Frs48Lfm+fSxZ4WqXBkJvS64sfWID554c9NuRiohHJc0A\nvFPZ/DFy5eiDIuLqiYj5SeAQcmDl5dq+JRl3sKpXfg0cLWm1iLihvrO8F38c+HFETC5tnhSXk49Z\nwOzAcuTK4rtL2i8iftzLxk3O3IHvjcsj4p/l/78q6RX7AJuQIwwDoQ7EBjhG0prAn4CLJC0dEW8B\nlDeHt2v3nxd4sc155wX+M5FtGockAdO22jIIzVf+rX9QjEPS9BPwxa1plwEbS5ozIqppP9sCT5FX\nFOboScvMukjSIsC55CDJ2hHxTGX3TyUdTK4tYTWSZoyI1yflHBFR/+xpvae+NJGn7PMzMyLe6Wtf\nD/yGHDjbFhinA1+2t44bCu6NiPqA0QFkn+Q4SXdHxF9707S+SZohIno6oDVoL78MMVeRby6LtjZI\nmk3S8ZJGSHpT0mOSzpQ0p6Q1gJvJUYwzyuWn9+r5ggMVEdeQo+0Lk+kvrTa8nwPfykkkR5Y/Wom5\nRtm+CPD5yvaFyv2mlXS4pAfK4xgp6RhJ01bbUO73Y0nbSrqLHPFav+yTpL0l3VUuYT8l6VRJs9fO\n8YikiyV9StI/yrEPSdqu/pj7e34rxwyo7W3OPQI4rNx8tjy2Q2ptXK9cKnyDkl5TLikeLOnBEm+E\npKPaPFetc6wt6VZJr5fLrmuW/VtIurM8/lslLd9feysCuAh4C/hCbd+25Ehk2xEfSV+utOU5SedK\nWrB2zGqSfi/p0crzeZxqaQiSzpD0iqQPSLqw/P8ZST8oX+zMuuHb5PoRO9U67wBExMMRcRL0nbNd\n9r3/919uzyzphMp7z9OSrmz9nUq6mvxi0DrnaEkPV+4/j6RflvfBNyTdUY9bac+3JO0u6WFJr5U4\nC5b31IPL+97rki6ov5+W83xW0nWSXpX0sqRLJX2kdkzr73W4pMskvUyOqE60+vNZnpMzyu5by75f\nVY5fVZkO+mJ5nNdI+mRl/6HkFROARzTu59QjtfO10nxWk3SypGclvaBMpZpa0uySzpL0fHm/O6bN\nY5AG8LlVFxGPA9cBW0qaqs0hXwQeiohbSpzpJB0p6bby+F8tj3/1ATzPv5b0QJvt35U0zpea8rxU\n3+fPUQM55WXw6IvkZ9J3am2YV9Kvyt/NG8o5EV9ue6LxkLSppD8p04nfVH7WH1j/nFGmzP1T0sck\nXS/pNeDwsm8VSX+RNKo8Lw9L+tnEPfIJ4xH4ycPi5d/nICeEkt+8lwR+CdwOzA1sDCwI3E1eCjwC\nOA24vtz/75PQhrOB7wHrlZgwds7Ys2Tn/iDyQ+0A8kvH3WX7CcBjwI9ax5c/gkvIS5enAfcCy5BX\nG5YANq+1YR1gK+BkYBSZ6gPwMzK//lfkJeVFgT2A5SV9KiLeq7R3CeAP5TGcAXwVOF3SrRFxDwzo\n+X1+ItpetRewA7ApsDOZp9lKcwpgKXL05LTy2O4r+35ZHufvgR8CqwL/W47fonL+AD5M/s5OJS/t\n/w95BWUv8svDyeTv50Dyqs5A8wlfBy4m3zxPA5C0HJkqsBN5eXMskr5DvhZ/C/wcmAfYE7hW0goR\n0boK8QVgBuAn5Gt9FfL3+EFg69rjGwZcAdwE7AusC3wLeLDVLrOGfR54OCL+0eHznka+f5wE3APM\nRabkLA3cAXwXmI38u9ib/Dt+FfJqHXAtMLzc/xHy7+oMSbO1vlBUbEd+zp8IzAnsT76/3ECmxH2f\n/PzZk3zP+VrrjsqBjzPIFIf9gRnJdM/ry9/1yHJolBhXkJ9F+5LvI530XfJ98uvkZ9AjwEOlnWuT\nVw5vJd/7RpMpGFcp01BuBc4j3zO3Id+fnyvnfbbyGNo5CXiSTD39OPn8vET+vh4i3583BPaTdGdE\nVL+4DPRzq51zyNfJ+uWxUR7rR4GPMmaACDLt5Cvk1aLTgFlLO6+UtHJE9HdlvK+88HG2ly9Bh5Cf\nXT8nr7rvBaxSXg+v9hNngkXEI5JuAD6pMtotaUbyy83C5O/mUbLPcJakWSLipxMYZkfy9/kj8nN6\nHfK1NhNjf3EI8vFeSv5uzgT+K2k+8nX/JHAUecV9EbIv0byI8E+XfshO3XtkvvhcjOm4PEu+QS9Q\njju8HLdxP+daiXyj2n4CY6/YzzEvALdWbh8KvFc75mrg323uOwK4uLbty2QO4ydq279R2vLxyrbR\n5dgla8euVvZtXdv+mbJ9m1ob3gM+Wdk2N5m3fWxl20Ce3wG3vY/7H1qOm7PN8/QesG5t+7Ll8Zxa\n235sOX6NNudYpc3z8Rrwwcr2r5djPz2e9q5R7r85+YH0Xus8pQ0PtPv9AwuV5+nbtfN9hEy/OqCy\nbbo2cb8NvAssWNl2eol/YO3Y24CbO/136R//1H+AWcrfw/kDPH7hvt6Py/ZDKrdfIPOX+zvfJeSX\nh/r2vcrfRvV9byrgRrIjMlOtPU8BM1eOPapsvx0YVtl+TnmfnKbcngl4HvhpLf48pf2nVra1/l6/\nO8DnaiCfReM8n33dj+zY/6m2bTqyg315Zdu+5f4LtYk3AvhVLdboNue9sWw/ubJtGLnK91WVbQP+\n3Orj8c9efh+/rm0/ujyGxWvxp64dNxvwTPX3V14no6vvq+Qg0P1t4h8JvF25PZx8n963dtwy5Pv/\nfhPxN9Zqz3H9HHNSebxL1X6HW9bO84/yupyhn8e6U7nvB6qvkzYxf07+LU1V2XZ9ue9XasduUbYv\nM6GPvxM/TqHpPgF/Izvtj5HfZl8GNo2I/5ZjNgf+FREXd7ltr5IfXJ2yJTnCdL+kuVo/ZCdQ5BeZ\nqmsi4r4253gR+FvtHLeX9tbPcXdEvH8lIiJGkW/wwyvHDOT5ndC2T4gRMW5O34bkt/zja9t/VOLV\nc23vjoibK7dbo4R/jYgnatvF2I9/fK4kP7y3Kbe3pu98yy3K+f9Qe56eIfPl33+eojKfQdKM5bj/\nIz+AVmhz7vpI+/UT+DjMJlarUskrDZz7RWBVSQtMxH0/CzwVEb9tbYgcyf0xOcFzjdrxv4+xR0Zb\n7xNnxdgTIP9BTs79YLm9HtkJ/G3t7zrKse3e/06diMczSZRpR0sA59baOQv5OfvpSTh9kKPnVf+o\nby/P462M/d40oZ9bYweOeJEx85FmqOzamhxke7AaPyLehffTduYgi1TcCoyv0s9AbUE+7vNqj+e/\nwMPjezyToPXabfVLPgs8ERF/bB1Qef3PCow3baiq9pk0c3lMN5B/Sx+uHf4641bXe5H8/Nu4j3Sn\nRjmFpvuCLIH1APmN9uk2ndbFgD/W79gFMwNPd/B8S5DpH8+22de6JFX1SB/nmJ3sEA7kHCPbHPcC\nY0+8HMjzO6FtnxAj2mxrjTg9WN0YEU9LerHsrxpZO+7lkrb3eO241oSvAU88jYh3Jf0B2FbSLcCH\n6LsDvzjZAX+wzb6gMgla0ofIkZ2Nau0JsrNQ9WZEPFfbVv89mjWllfbVyQGNlv3J1JTHJN1GdtTO\nioFVq1qY/Oyou4fsSNTfJx6r3W69H/T3PvEI+XctcsCiLhh3cv67kbnb3bZE+fesPvaPLqlFEzvx\ntf550jpPu+e1+t40oZ9b7ZwDbEYWt/itpE+R6Rn1QR4k7UimGC7J2P26+wcQZyAWJ0e1H26zr93r\noVNa5a1bX6QXpv1j6uv136+SknQUObev+rfe7jPp8Rg37ekq4AIyhXQ/SdcAFwLnxriTsDvOHfje\nuCXGrgTTc5I+SL5g23XEJtYw4E4yb7zd5MP6m2C7Gd3DyC8V2/ZxjnoHu6+8wgmd/DihbZ8Q/c1c\njwGeo6/H2anH/xuyPN5hwB1tvmS2DCO/eGxA+wmurdzdYcBfyQ+1o8mrIq+RI35nMu6E+v7yQ80a\nFRGvSHqSzDce0F3abVSbOt0R8QdJ15Gds/XIdTW+LWmziLhiYtvch4l9nxhGPqYv035Q593a7V5V\nC2s9v/sC/+rjmEnJzZ6Q56/6Hjuhn1vtXEp+MdiWnF+0Lfm8j1WpTtJXyPlTfyTfW58t7TuYMVdU\n+tLX5019NHlYib1BH8c3caUK8u/vXdoP7k2ScqXiOnI+xP+WGG+Sc7OOYtzPpHE+tyPzaLaQ9HFy\nzsz6ZErZ3pI+GQ1XqXEHfvL0EOP/4BhoR2+gti/nvLyD53wIWDYmrmZv9RzrAH+PzpWUHMjz24m2\nT4hHyTeMJRgzqRXlAl+zl/1dExE3SBpJXpLfv59DHyI/oB6pXtZtYxnysW0XEee0NkpatxPtNWvA\npcDXJa0a45/I+kL5t15hpO2IYEQ8TaacnCppbjK14jvkhDjo+/39UfJvqW7pyv5OaP1dPxsRV3Xo\nnE14qPz7ygDa2enPzP5M8udWRLwt6Y/AduVzYEvgbzFuRaQtgPsiYqvqRknfG0CYFxj3NQs50l/1\nEGUEPiIeGcB5J5mkRcm5BNfGmDLLjzLmqkvV0uTvd0Je/2uTg5afrf59ayIWkIqIm8iCCweVyd9n\nkpPL+7oy1BHOgZ88nQcsJ2mTfo5prUDXb0mqgSiz+A8iL491srbs74EFJX29Tczpy4zygZxjanL2\ne/0cU0mqX+YaiIE8v51o+4S4jPzA3Lu2fV/yjelPHY43EHuQE377Kwl3Pjnyfmi7nRpTlrM1YlV/\nz9mbIbY6ng0Zx5J5r79Qm5WyJS0maU/IEXuyclY953o3Kq9vScNUWwm0zNN5kpx42fIa417Ch3yf\nmF/S+1WbSu7tHuQo6LUDfnT9u4JMizhQ0jgDfeVLx+TgNrJzuV+pLjaWWjs79pk5AJ363DqHnJtw\nGlmQ4Zw2x4xzNaCk23xsAOd/CJhLUusLYOtq/Ea1484jX8fje5/viPJ7O5f8TDyqsusy8nN5i8qx\nU5Ov/5cZU5FvIMb5TJI0HVlpaaDtbPdaal0Jmq7Nvo7yCHz3DSSV4Qfkt+0/SDqdfJOai/yj2jly\ntdSHyAkUu0h6lXxz+sd4vh0L2LD8sU5NLoyxNjkzfgRZlaWTeVtnkyWefippLXIG/1Tkt+UvkJeP\n+00liojrJJ0GHFAmLF1Jznr/MPkc7Ul2IifEQJ7fSW77hIiIf0s6E/hGubR3LVlGcnuyEkanPpgn\npE2XkNUw+jvmYUkHAd8rIyYXkh2J4WQZzdOA48gynA8BP1LWh3+ZHDnqxoep2QQrr+1W+sI9kqor\nsX6KfA85vXKXX5DvUz8nJxB+mhwtrL7nzwI8XkZW/0Wmd3wGWJnMYW65DdhK0o+AW4BXI+JSsjTh\nzmTZyJUZU0byE+Sqz68x8d5vZ0kh2pUcQfynpN+SqRkLkRPqbyDfeycl1k6SPttm3wkDaWNpZ0j6\nGtmx+095P3+CTB1Zi0xBaQ3U3Fbu/73yeN4hK6f1leYw0WtOdPBz61pyvsIm5JfJC9occyk5ifJ8\n4M/kHK+dyRLP4+tE/oYsH32xpJPInPNdyffr90sGR8QDyjKSR0hajCw1/Cr5Pr8ZWS3mxwCS1gH+\nQq6YO5CrAEtJ+hL5fM8KLE++pmcE9qhdBT+VrKx2tqRVyRH3rckvK7tPYMrKDeTn0K/LYx9Gll2t\np4f1Z6fy+ruQHACdtbTvBTqbzdCWO/DdN97Rxoh4TdJq5OjnZmQn7hkyh/jxcsy7ykUujgZ+Sv4u\nd6T/XLEo54ScXPg8mee9J3BGH2/+7drb17axtpc3103IPPLtyQ7d6+QL/XjGnowyzv0r59lV0q3k\nm9JRjMmJO4vsWI/3HNXtA3x+J6TtE6K/Nu5EdnK/UuI9RT7eIwZ4jgnd3u64gaj/no+RdB/5XLVG\nnB4j38AuLse8K+nz5Jv8AWSu4fnAKbTPXR3v79GsaRFxiaRlyXUWNibnhbxNduT3IzvULUeQo6Rb\nkh2Qy8iqGc8w5nX7OvmaX49872lNAN81Iqrn+gnZgfoKeZXqUeDSiHhTuZDf98n3pVnJlLuvRES9\nQkZ/7wdtH27tsZ8r6Qny73U/sjP4BDnKeXp/9x2AIJ/Ldk6vHNNvG0s7r5X0CTLnezeyE/oUWTHm\ntMpxt5bBhl3IXOVhZG32kbR/ribmMVXbNdDPrb5PmJ9D55LP/8XtPqMjonWF6Ovk47qbrCD2ZTKf\nu97G6mfhKEmbk9XOjiU/f/Yl07TGWvMjIo6SdA/5eqy+z/+J/BLRMnOJ8eRAHmJp8/rkldyXyc/Y\nXwI/i4ixPmcj4nVJnyZf/zuQr/97ydTMevZAv5975bF/rjz275Kd7jPIjv1l7e7SZtvVZKWfLzJm\nlfqbgMMjYlLmyQ2IMgffzMzMzGziSTqOHID6cKu8pTWj0Rx4Sf8r6WblEsxPK5drrtfWRNIRkp5U\nLkP7F0mLtzufmZkNLpJWl3Sxcrny0ZL6XKVQudT86FZueWX7dJJOUS5X/oqkP7bLSzeznluDHIF2\n571hTU9iXZ3MjVqVXAp9GnJ53/cXJpD0bWB3coXLVchc7iskTdtw28zMrHkzAXeQ61/0eclX0mbk\nZ8UTbXafQOZeb0Hmln+AnFhnZpORiFgpIs7sdTumBF1NoSkzi58hl3W/oWx7EvhBRBxfbs9K1k/d\nISJ+37XGmZlZoySNJledvri2/YPkqrzrk/mnx0dEa1LcrOQEym0i4oKy5bxtqgAAIABJREFUbUly\n8ZaP11YkNjObInS7jOTs5AjM8/B+nc/5ySWPgVxRkpx88okut83MzLpMksiJfcdGxD1tDlmJnKRf\n/Zy4j5x86M8JM5sida0DX96kTwBuiIi7y+b5yQ59faW3p8u+dueZUdKKDdThNjOz7jsAeDsiTu5j\n//xlf325dn9OmNkUq5tlJH8CfISsnzsplgJuu+222ya9RWZm3TXRtaWHIkkrkWVsV+jwqf05YWaD\n1YA+J7oyAi/pZGBDYM2I+G9l11NkQ+er3WW+ss/MzIau1YB5gMckvSPpHWBh4DhJD5djngKmra9g\nij8nzGwK1ngHvnTeNwHWioiR1X0RMYJ8A16ncvysZCWCvzfdNjMz66mzgGXJRWNaP0+Si8qsX465\njVwEp/o5sSS5Kuj/dbOxZmaTi0ZTaCT9hFyhamPgNUmtkfaXIuLN8v8TgIMkPUiuUnYkuRrmRU22\nzczMmidpJmBxxlwWHi5pOeD5slrhC7Xj3wGeiogHIAsbSPolOSr/AvAKuaLvja5AY2ZTqqZz4Hch\nJ6leU9u+IznyQkQcWyYanUZWqbke+GxEvN1w28zMrHkrk0uOt5Y2/1HZfibw1TbHt6ttvA/wHvBH\nYDrgcmC3jrfUzGyQaLQDHxEDStGJiMOAw5psi5mZdV9EXMsEpGtGxPA2294C9ig/ZmZTvG7XgTcz\nMzMzs0nQzTKSZmZmZjYAI0eOZNSoUZN0jrnnnpuFFlqoQy2yyYk78GZmZmaTkZEjR7LkUkvz5huv\nT9J5pp9hRu679x534ocgd+DNzMzMJiOjRo3izTdeZ/lN9mKWuRacqHO88tzj3HHRiYwaNcod+CHI\nHXgzMzOzydAscy3IbAss1utm2GTIk1jNzMzMzAYRd+DNzMzMzAYRd+DNzMzMzAYRd+DNzMzMzAYR\nd+DNzMzMzAYRd+DNzMzMzAYRd+DNzMzMzAYRd+DNzMzMzAYRd+DNzMzMzAYRd+DNzMzMzAYRd+DN\nzMzMzAYRd+DNzMzMzAYRd+DNzMzMzAYRd+DNzMzMzAYRd+DNzMzMzAYRd+DNzMzMzAYRd+DNzMzM\nzAaRqXvdALMp0ciRIxk1atQknWPuuedmoYUW6lCLzMzMbLBwB96sy0aOHMmSSy3Nm2+8PknnmX6G\nGbnv3nvciTczM5vCuANv1mWjRo3izTdeZ/lN9mKWuRacqHO88tzj3HHRiYwaNcodeDMzsymMO/Bm\nPTLLXAsy2wKL9boZZmZmNsh4EquZmZmZ2SDiDryZmZmZ2SDSaAde0uqSLpb0hKTRkjau7T+9bK/+\nXNZkm8zMzMzMBrOmR+BnAu4AvglEH8f8GZgPmL/8fLHhNpmZmZmZDVqNTmKNiMuBywEkqY/D3oqI\nZ5tsh5mZmZnZUDE55MCvKelpSfdK+omkOXvdIDMzMzOzyVWvy0j+GTgPGAEsBhwNXCbpExHRV8qN\nmZmZmdkUq6cj8BHx+4i4NCL+ExEXA58HVgHW7GW7zMysM/orZiBpaknHSPq3pFfLMWdKWqB2jukk\nnSJplKRXJP1R0rzdfzRmZpOHySGF5n0RMQIYBSze67aYmVlH9FfMYEZgeeBwYAVgM2BJ4KLacScA\nnwO2AD4NfIC8emtmNkXqdQrNWCQtCMwF/LfXbTEzs0nXXzGDiHgZWL+6TdLuwD8kLRgRj0uaFfgq\nsE1EXFuO2RG4R9IqEXFzNx6HmdnkpOk68DNJWk7S8mXT8HL7Q2XfsZJWlbSwpHWAC4H7gSuabJeZ\nmU22ZidH6l8st1ciB5v+1jogIu4DRgKf6HrrzMwmA02PwK8MXE2+GQfwo7L9TPJy6rLA9uQb9pNk\nx/2QiHin4XaZmdlkRtJ0wPeB30TEq2Xz/MDbZbS+6umyz8xsitN0Hfhr6X+Uf4Mm45uZ2eAgaWrg\nD+Rgzzd73Bwzs8naZDWJ1czMpjyVzvuHgPUqo+8ATwHTllz4qvnKPjOzKY478GZm1jOVzvtwYJ2I\neKF2yG3Au8A6lfssCSwE/F+32mlmNjmZrKrQmJnZ0CJpJrI0cKsCzXBJywHPkxXHziNLSX4emEbS\nfOW45yPinYh4WdIvgeMkvQC8AvwYuNEVaMxsSuUOvJmZNam/YgaHAxuV7XeU7Sq31wKuK9v2Ad4D\n/ghMR5al3K0LbTczmyy5A29mZo35/+zdeZhdVZWw8XcxJ6igBgICYTBI4oTMYDuj4izafkqLgDig\n3aCIqDhAM2mrKAgK0ti2oqC2dtuKI8ikMjSiAgqSAGEqwhAoZjJAhPX9sU+RWzdVlZDUPefeuu/v\neeqh7j6n7l6kqs5adc4elmMxg2UO5czMh4EPVR+S1PccAy9JkiT1EAt4SZIkqYdYwEuSJEk9xAJe\nkiRJ6iEW8JIkSVIPsYCXJEmSeogFvCRJktRDLOAlSZKkHmIBL0mSJPUQC3hJkiSph1jAS5IkST3E\nAl6SJEnqIas1HYCk5gwMDDA4OLjCXz9lyhSmTZs2jhFJkqRlsYCX+tTAwAAzt5rBgkULV/g9Jq81\niVnXzLaIlySpRhbwUp8aHBxkwaKFHDz1XWy8xvpP+OvnPnInx847ncHBQQt4SZJqZAEv9bmN11if\n6Wtt0nQYkiRpOTmJVZIkSeoh3oGXJFZ+Qi84qVeSVA8LeEl9b2BggBkztmLhwkUr9T6TJq3F7NnX\nWMRLkjrKAl5S3xscHGThwkV86EXPYKN11lih97j1/kf42oW3OalXktRxFvCSVNlonTXY4umTmg5D\nkqQxOYlVkiRJ6iEdLeAj4sUR8bOIuDUiHouIN41wzlERcVtELIiIsyNieidjkiRJknpZp+/Arw1c\nAfwLkO0HI+IQ4ABgP2BHYD5wVkSs2CBUSZIkaYLr6Bj4zDwTOBMgImKEUw4Ejs7MX1Tn7A3MA3YH\nftTJ2CRJkqRe1NgY+IjYHNgAOHeoLTMfAP4A7NJUXJIkSVI3a3IS6waUYTXz2trnVcckSZIktXEV\nGkmSJKmHNFnA3wEEMLWtfWp1TJIkSVKbxgr4zLyRUqjvOtQWEU8BdgIubiouSZIkqZt1dBWaiFgb\nmE650w6wRURsDdyTmbcAxwOHRsQc4CbgaGAucEYn45IkSZJ6VUcLeGB74HzKZNUEjq3avwO8JzOP\niYjJwCnAusAFwGsz85EOxyVJkiT1pE6vA/87ljFMJzOPAI7oZBySJEnSROEqNJIkSVIPsYCXJHVM\nRLw4In4WEbdGxGMR8aYRzjkqIm6LiAURcXZETG87vmZEnBQRgxHxYET8T0SsX9//hSR1Fwt4SVIn\nrQ1cAfwLZS7UMBFxCHAAsB+wIzAfOCsi1mg57Xjg9cA/Ai8BngH8uLNhS1L36vQkVklSH8vMM4Ez\nASIiRjjlQODozPxFdc7elB25dwd+VC0v/B5gj2peFRGxLzArInbMzEtr+N+QpK7iHXhJUiMiYnNg\nA+DcobbMfAD4A7BL1bQ95WZT6znXAAMt50hSX7GAlyQ1ZQPKsJp5be3zqmNQdud+pCrsRztHkvqK\nBbwkSZLUQyzgJUlNuYOyU/fUtvap1bGhc9aoxsKPdo4k9RULeElSIzLzRkoRvutQW1Wo7wRcXDX9\nGfh72zlbAdOA/6stWEnqIq5CI0nqmIhYG5hOudMOsEVEbA3ck5m3UJaIPDQi5gA3AUcDc4EzoExq\njYj/BI6LiHuBB4GvAhe5Ao2kfmUBL0nqpO2B8ymTVRM4tmr/DvCezDwmIiYDpwDrAhcAr83MR1re\n4yDgUeB/gDUpy1LuX0/4ktR9LOAlSR1Trd0+5nDNzDwCOGKM4w8DH6o+JKnvOQZekiRJ6iEW8JIk\nSVIPsYCXJEmSeogFvCRJktRDLOAlSZKkHmIBL0mSJPUQC3hJkiSph1jAS5IkST3EAl6SJEnqIe7E\nKkmSpK41MDDA4ODgSr3HlClTmDZt2jhF1DwLeEmSJHWlgYEBZm61FQsWLVqp95m81lrMuuaaCVPE\nW8BLkiSpKw0ODrJg0SK+tNG2PHPNJ6/Qe1z/8IN8/NbLGBwcXKkCvpueBFjAS5Ikqas9c80n85xJ\n6zbW/8DAADNmbMXChSv3JGDSpLWYPXvlnwRYwEuSJEljGBwcZOHCRXzoRc9go3XWWKH3uPX+R/ja\nhbet9JMAsICXJEmSlstG66zBFk+f1HQYLiMpSZIk9ZLGC/iIODwiHmv7uLrpuCRJkqRu1C1DaK4C\ndgWiev33BmORJEmSula3FPB/z8y7mg5CkiRJ6naND6GpbBkRt0bE9RFxekRs0nRAkiRJUjfqhgL+\nEuDdwG7AB4HNgd9HxNpNBiVJkiR1o8aH0GTmWS0vr4qIS4GbgbcD324mKkmSJKk7dcMd+GEy837g\nWmB607FIkiRJ3abrCviIeBKleL+96VgkSZKkbtN4AR8RX4qIl0TEphHxQuAnwGLgBw2HJkmSJHWd\nxsfAAxsD3weeDtwFXAjsnJl3NxqVJEl9YmBggMHBwZV6jylTpjBt2rRxikjSWBov4DPzn5qOQZKk\nfjUwMMDMmTNYsGDhSr3P5MmTmDVrtkW8VIPGC3ipTt5lkqThBgcHWbBgIcd/4kNM32SjFXqPObfc\nykeO+RqDg4NeH6UaWMCrb3iXSZJGN32TjXjulls0HYak5WABr74xdJfp5G+8ly2fteEKvcd1197O\nP+/3n95lkqQJyie16gUW8Oo7Wz5rQ7Z+waZNhyFJ6jI+qVWvsICXJEnCJ7XqHRbwkiRJLXxSq25n\nAS9JakxErAp8FtgDmArcBpyamZ9tO+8o4H3AusBFwD9n5pyaw5X6jnMCupMFvCSpSZ8B3gvsDVwN\nbA+cGhH3ZeaJABFxCHBAdc5NlIL/rIiYmZmPNBK11AcGBgaYudUMFixayTkBa01i1jXOCRhPFvCS\npCbtAJyRmWdWrwci4p3Aji3nHAgcnZm/AIiIvYF5wO7Aj+oMVuong4ODLFi0kIOnvouN11h/hd5j\n7iN3cuy8050TMM4s4CVJTfo18LGI2DIzr4uIrYF/AA4CiIjNgQ2Ac4e+IDMfiIg/ALtgAS913MZr\nrM/0tTZpOgy1sICXJDUmM78eEZsA10TE34FVgM9k5n9Vp2wAJOWOe6t51bEVtrJjex3XK6kpFvCS\npMZExIeBfYB3UMbAvwA4ISJuy8zTOtXvwMAAM2bOYOFKrPc9afIkZrvWt6QGWMBLkpr0aeDIzPzv\n6vXfImIz4FPAacAdQFBWqGm9Cz8VuHxFOx0cHGThgoW85ci3sN5m6z3hr7/rprv4yeE/cVyvpEZY\nwEuSmrQK8Ghb22NVO5l5Y0TcAewK/BUgIp4C7ASctLKdr7fZemw4Y8U27JGkpljAS5Ka9FPg0IiY\nC/wN2JYygfWbLeccX50zh7KM5NHAXOCMekOVpO5gAS9JatJHgCOBE1mykdPJlCIdgMw8JiImA6dQ\nNnK6AHita8BPPG4aJC0fC3hJUmMycwHw8epjrPOOAI6oISQ1ZGBggJkzZ7BgJSYWA0yePIlZTi7W\nBGcBL0mSGjc4OMiCBQs57YvvZOYWK7Zp0Kwb7mSvQ77v5GJNeBbwkiSpa8zcYn22ffbGTYchdbVV\nmg5AkiRJ0vKzgJckSZJ6iAW8JEmS1EMm5Bh4l6GSJEnSRDXhCviBgQFmzJzBwpVchmrS5EnMdhkq\nSZIkdZkJV8APDg6ycMFC3nLkW1hvs/VW6D3uuukufnL4T1yGSpIkSV1nwhXwQ9bbbD02nLFh02FI\nkiRJ48pJrJIkSVIPsYCXJEmSekhXFPARsX9E3BgRCyPikojYoemYJEmSpG7UeAEfEe8AjgUOB7YB\n/gKcFRFTGg1MkiRJ6kKNF/DAQcApmfndzJwNfBBYALyn2bAkSZKk7tNoAR8RqwPbAecOtWVmAucA\nuzQVlyRJktStml5GcgqwKjCvrX0esNVYXzhr1qwx26+7+DoGb1qx3Vjvve3eMftYXrfffjv33Xff\nSr3Huuuuy4YbrtxymN0QRzfEMPT9PPfsK7nu2ttX6D0Gbh4c9l4rE8e86y/jocG5K/Qe8++/c9zi\n+PP8WdzySPuv4LLdufielY4Buutn4/JbH+LW+x9eofe486HFw95rJNtuu+0KvbckSa2aLuBX2Lve\n9a4xj59/yvkd70O96fOfO2Ol32M8fjau/d0PuiKO0+/5deMxdIsfXrFif/S3GuvfozxglCRp5TRd\nwA8CjwJT29qnAneM9YWnn346M2fOHPFYt9zRe9e73sU73/Ue1p+6Yu9z57zb+f7p3xrz/3V54zh4\n73ewyQbrr9B73HLHnRz73R+ucBxDMRz94dew+UZPW6EYbrz1Hg776pkr9W8B3fGzMZHiGK/fkwPX\nm8HGa0xeofeY+8gCTrhr9oT52ZAkaVkaLeAzc3FE/BnYFfgZQERE9fqrY33tzJkze+Jx9Lbb78wz\npz9rhb72+jnX8v3TvzUu/68v32EbnrvlFiv0tVdddwPHfveHKx3Ha188g22fvfEKfe1lV8/lsK+e\n2TPfdz0xL33yVJ4zad0V+tq/LbyPE+6a7c+GJKlvNH0HHuA44NSqkL+UsirNZODUJoOSJEmSulHj\nBXxm/qha8/0oytCZK4DdMvOuZiOTJEmSuk/jBTxAZn4d+HrTcaizZt1wZyNfK0mSNJF0RQGviW3K\nlClMnjyJvQ75/kq9z+TJk5gyxQ16JU0cAwMDDA6u3OpHU6ZMYdq0aeMUkaReYAGvjps2bRqzZs02\nSUlSi4GBAWbOnMmCBQtW6n0mT57MrFmzvD5KfcQCXrWYNm2ayUWSWgwODrJgwQI+cvBn2HiTTVfo\nPebecjPHH/s5BgcHvcZKfcQCXpKkBm28yaYrvNywpP60StMBSJIkSVp+FvCSJElSD7GAlyRJknqI\nBbwkSZLUQyzgJUmSpB5iAS9JkiT1EAt4SZIkqYdYwEuSGhURz4iI0yJiMCIWRMRfImLbtnOOiojb\nquNnR8T0puKVpKZZwEuSGhMR6wIXAQ8DuwEzgYOBe1vOOQQ4ANgP2BGYD5wVEWvUHrAkdQF3YpUk\nNemTwEBmvq+l7ea2cw4Ejs7MXwBExN7APGB34Ee1RClJXcQ78JKkJr0R+FNE/Cgi5kXEZRHxeDEf\nEZsDGwDnDrVl5gPAH4Bdao9WkrqABbwkqUlbAP8MXAO8GjgZ+GpE7FUd3wBIyh33VvOqY5LUdxxC\nI0lq0irApZl5WPX6LxHxXOCDwGnNhSVJ3cs78JKkJt0OzGprmwVMqz6/Awhgats5U6tjktR3LOAl\nSU26CNiqrW0rqomsmXkjpVDfdehgRDwF2Am4uKYYJamrOIRGktSkrwAXRcSnKCvK7AS8D3h/yznH\nA4dGxBzgJuBoYC5wRr2hSlJ3sICXJDUmM/8UEW8BvgAcBtwIHJiZ/9VyzjERMRk4BVgXuAB4bWY+\n0kTMktQ0C3hJUqMy81fAr5ZxzhHAEXXEI0ndzjHwkiRJUg+xgJckSZJ6iAW8JEmS1EMs4CVJkqQe\nYgEvSZIk9RALeEmSJKmHNFrAR8RNEfFYy8ejEfGJJmOSJEmSulnT68AncCjwH0BUbQ82F44kSZLU\n3Zou4AEeysy7mg5CkiRJ6gXdMAb+kxExGBGXRcTHImLVpgOSJEmSulXTd+BPAC4D7gFeCHwB2AD4\nWJNBSZIkSd1q3Av4iPg8cMgYpyQwMzOvzczjW9qviohHgFMi4lOZuXi8Y5MkSZJ6XSfuwH8Z+PYy\nzrlhlPZLKTFtBlw3jjFJkiRJE8K4F/CZeTdw9wp++TbAY8Cd4xeRJEmSNHE0NgY+InYGdgLOpywd\n+ULgOOC0zLy/qbgkSZKkbtbkJNaHgT2Aw4E1gRuBY4GvNBiTJEmS1NUaK+Az83Jgl6b6lyRJknpR\nN6wDL0mSJGk5WcBLkiRJPcQCXpIkSeohFvCSJElSD7GAlyRJknqIBbwkSZLUQyzgJUmSpB5iAS9J\nkiT1EAt4SZIkqYdYwEuSJEk9xAJekiRJ6iEW8JIkSVIPsYCXJEmSeogFvCRJktRDLOAlSZKkHmIB\nL0mSJPUQC3hJUteIiE9GxGMRcVxb+1ERcVtELIiIsyNielMxSlLTLOAlSV0hInYA9gP+0tZ+CHBA\ndWxHYD5wVkSsUXuQktQFLOAlSY2LiCcBpwPvA+5rO3wgcHRm/iIzrwL2Bp4B7F5vlJLUHSzgJUnd\n4CTg55l5XmtjRGwObACcO9SWmQ8AfwB2qTVCSeoSqzUdgCSpv0XEHsALgO1HOLwBkMC8tvZ51TFJ\n6jsW8JKkxkTExsDxwCszc3HT8UhSL3AIjSSpSdsB6wGXRcTiiFgMvBQ4MCIeodxpD2Bq29dNBe6o\nNVJJ6hIW8JKkJp0DPI8yhGbr6uNPlAmtW2fmDZRCfdehL4iIpwA7ARfXHq0kdQGH0EiSGpOZ84Gr\nW9siYj5wd2bOqpqOBw6NiDnATcDRwFzgjBpDlaSuYQEvSeo2OexF5jERMRk4BVgXuAB4bWY+0kRw\nktQ0C3hJUlfJzFeM0HYEcETtwUhSF+rYGPiI+HREXBQR8yPinlHO2SQiflmdc0dEHBMRjsuXJEmS\nRtHJYnl14EfAySMdrAr1X1GeAuwM7AO8GziqgzFJkiRJPa1jBXxmHpmZJwBXjnLKbsAMYM/MvDIz\nzwIOA/aPCIf2SJIkSSNocrjKzsCVmTnY0nYWsA7wnGZCkiRJkrpbkwX8Boy8NfbQMUmSJEltntBQ\nlYj4PHDIGKckMDMzr12pqCaQubfc3MjXSpIkaWJ6omPNvwx8exnn3LCc73UHsENb29SWYz1typQp\nTJ48meOP/dxKvc/kyZOZMmXKOEUlSZKkXveECvjMvBu4e5z6/j/g0xExpWUc/KuB+2nbla8XTZs2\njVmzZjE4OLjsk8cwZcoUpk2bNk5RSZIkqdd1bLWXiNgEeBqwKbBqRGxdHZpTbZ39G0qhflpEHAJs\nSNke+8TMXNypuOo0bdo0i29JkiSNq04u13gUsHfL68uq/74c+H1mPhYRb6CsE38xMB84FTi8gzH1\nrTm33NrI10qSJGl8dayAz8x9gX2Xcc4twBs6FYOGxuJP4iPHfG2l3mfy5EmOxZckSeoCbpg0wZWx\n+LMdiy9JkjRBWMD3AcfiS5IkTRxNbuQkSZIk6QmygJckSZJ6iAW8JEmS1EMs4CVJkqQeYgEvSZIk\n9RALeEmSJKmHWMBLkiRJPcQCXpIkSeohFvCSJElSD7GAlyRJknqIBbwkSZLUQyzgJUmSpB5iAS9J\nkiT1EAt4SZIkqYdYwEuSJEk9xAJekiRJ6iEW8JIkSVIPsYCXJEmSeogFvCRJktRDLOAlSZKkHmIB\nL0mSJPUQC3hJUmMi4lMRcWlEPBAR8yLiJxHxrBHOOyoibouIBRFxdkRMbyJeSeoGFvCSpCa9GPga\nsBPwSmB14DcRMWnohIg4BDgA2A/YEZgPnBURa9QfriQ1b7WmA5Ak9a/MfF3r64h4N3AnsB1wYdV8\nIHB0Zv6iOmdvYB6wO/Cj2oKVpC7hHXhJUjdZF0jgHoCI2BzYADh36ITMfAD4A7BLEwFKUtMs4CVJ\nXSEiAjgeuDAzr66aN6AU9PPaTp9XHZOkvtOxAj4iPh0RF0XE/Ii4Z5RzHmv7eDQi3t6pmCRJXe3r\nwLOBPZoORJK6WSfvwK9OGZt48jLO2weYSrmTsiHw0w7GJEnqQhFxIvA64GWZeXvLoTuAoOSJVlOr\nY5LUdzo2iTUzjwSIiH2Wcer9mXlXp+KQJHW3qnh/M/DSzBxoPZaZN0bEHcCuwF+r859CWbXmpLpj\nlaRu0A1j4E+KiLsi4g8RsW/TwUiS6hMRXwf2BN4JzI+IqdXHWi2nHQ8cGhFvjIjnAd8F5gJn1B+x\nJDWv6WUkDwPOAxYArwa+HhFrZ+aJzYYlSarJBymTVH/b1r4vpVAnM4+JiMnAKZRVai4AXpuZj9QY\npyR1jSdUwEfE54FDxjglgZmZee3yvF9mfq7l5V8iYm3g44AFvCT1gcxcrifBmXkEcERHg5GkHvFE\n78B/Gfj2Ms65YQVjAbgUOCwiVs/MxSvxPpIkSdKE9IQK+My8G7i7Q7EAbAPca/EuSZIkjaxjY+Aj\nYhPgacCmwKoRsXV1aE5mzo+IN1CWAbsEWEQZA/8p4JhOxSRJkiT1uk5OYj0K2Lvl9WXVf18O/B5Y\nDOwPHEdZ43cO8JHM/GYHY5IkSZJ6WifXgd+XsorAaMfPAs7qVP+SJEnSRNQN68BLkiRJWk4W8JIk\nSVIPsYCXJEmSeogFvCRJktRDLOAlSZKkHmIBL0mSJPUQC3hJkiSph1jAS5IkST3EAl6SJEnqIRbw\nkiRJUg+xgJckSZJ6iAW8JEmS1EMs4CVJkqQeYgEvSZIk9RALeEmSJKmHWMBLkiRJPcQCXpIkSeoh\nFvCSJElSD7GAlyRJknqIBbwkSZLUQyzgJUmSpB6yWtMBSNL1Dz/YyNdKktSLLOAlNWbKlClMXmst\nPn7rZSv1PpPXWospU6aMU1SSJHU3C3hJjZk2bRqzrrmGwcHBlXqfKVOmMG3atHGKSpKk7mYBL6lR\n06ZNs/iWJOkJcBKrJEmS1EMs4CVJkqQeYgEvSZIk9ZCOFPARsWlEfDMiboiIBRFxXUQcERGrt523\nSUT8MiLmR8QdEXFMRPhHhSRpKRGxf0TcGBELI+KSiNih6ZgkqQmdmsQ6Awjg/cD1wHOBbwKTgU8A\nVIX6r4DbgJ2BZwCnAY8Ah3YoLklSD4qIdwDHAvsBlwIHAWdFxLMyc+WWMZKkHtORu92ZeVZmvjcz\nz83MmzLzF8CXgbe2nLYbpdDfMzOvzMyzgMOA/SPC1XEkSa0OAk7JzO9m5mzgg8AC4D3NhiVJ9atz\nuMq6wD0tr3cGrmy7c3IWsA7wnBrjkiR1sWr45XbAuUNtmZnAOcAuTcUlSU2p5U53REwHDgA+2tK8\nATCv7dR5Lcf+UkNokqTuNwVYlZFzxlYjnL8WwKxZs0Z9w6Fj113TPlogAAAgAElEQVR8HYM3PfER\nOPfedu+w91kRQ1972Z8uYe4tN6/Qe9w57/Zxi+P8P17OnFtuXaH3uOWOO8ctjl9fMJvZN9y5Qu9x\n4633rFQcQ1937tlXct21t6/QewzcPLhSMbR+7bzrL+Ohwbkr9B7z7x+/78mf58/ilkfaf/2Wz52L\nx+d78rsH53H9ww+u0HvMfWTBSsXQ+rWX3/oQt97/8Aq9x50PLV5mHNttt922wOzMXDDWe0W5ibF8\nIuLzwCFjnJLAzMy8tuVrNgJ+C5yXmR9oaT8FmJaZr21pmwTMB15bDakZKYZtgT8D22Xmyu2/Lknq\nehGxIXArsEtm/qGl/YvASzJzl7bz3wl8r94oJWncLLPGfaJ34L8MfHsZ59ww9ElEPAM4D7iwtXiv\n3AG0ryAwteXYaGZTHqXOXma0kqSJYBB4lCU5YshURs4XZwF7AjcBizoamSSNv2XWuE/oDvwTUd15\nPw/4I7BXtnUUEa8Bfg5sODQOPiL2A74IrJ+ZizsSmCSp50TEJcAfMvPA6nUAA8BXM/NLjQYnSTXr\nSAFf3Xn/HXAj8G7KnRMAMnNedc4qwOWUZSQPATYEvgt8IzMPG/egJEk9KyLeDpxKWX1maBnJtwEz\nMvOuBkOTpNp1ahLrq4Atqo9bqragjJFfFSAzH4uINwAnAxdTxr6fChzeoZgkST0qM38UEVOAoyhD\nZ64AdrN4l9SPOjaERpIkSdL4q3MdeEmSJEkryQJekiRJ6iG1bOQkaXQR8Trg0fa9DyJiN2CVzPx1\nzfGsD6xP2x/4mfnXOuOQJBXmCbXzDjwQEU9rOgY1IyKOjIhNGw7jC6O0xxjHxl1EbBcRVwG3A3+l\nTBK8vOW/Ut8yT/S3LsgV5gkN09cFfES8OiJ+RNnhr47+Vo2Ij0XEpRFxR0Tc0/pRRwzdJiKeEhHv\njoijI+KpVdvW1c6LdXgzcH1EnBsR74yINWvqt9WWwDUjtM8GptcYx7eAa4EXUlaQ2rztv1LfMU80\nrwvyBDSfK8wTGqbvhtBUf0G/B9gHeCrwa2Dvmro/HHgfcCzwWeBzwGbA7pSl0ToqIi6nLOW5TJm5\nbYfDISKeC5wDLAA2oezyey/wDmAjyveoozLzBRGxDbAvcAJwUkT8F/CtzPxjp/uv3E+58N3U1j6d\nsrxqXbYA/jEz59TY5+Mi4l6W/+eztruhEfE24O3ANGCNtjg6/nui+pknzBPtuiBXmCcwT7TqiwI+\nItYA3kq5KL4EOBfYGNgmM6+sMZQ9gfdn5i8j4gjgB5l5fUT8FdgZ+GqH+/9ph9//ifoK8H3gYOCB\nlvZfAqfXFURmXg5cHhEHA2+kXKAviojZwH8Cp2bm/R0M4Qzg+Ih4S2ZeDxAR0ykJ/Gcd7Lfd+cDW\nQCMXZuAjDfU7qoj4MKWAOpVyB+7bwDOBHYCTmotM48088TjzxCgazhXmicI8MdTvRF8HPiK+BrwT\neIjy6OdbmXlLRCwGts7Mq2uMZT4wMzMHIuJ24PWZeVlEbAFcnpnr1BVLN4iI+4DtM3NORDxI+X7c\nEBGbAbMzc62a41kDeAvlztsrKBuMPYOyacz7M/OHHep3HeBMYHtgbtW8MXAB8NbMvK8T/Y4Qx/rA\naZT/76uAxa3HM7POJNEVqsR8ZGb+oO1n9CjgaZl5QMMhahyYJ7pXt+WJKqbac4V5ons1lSf64Q78\n/pRtt/fKzOsajmUusCEwAFwPvBq4jPJX2sMNxtWUxcCTRmifDgzWFUREbEe5k/JPlO/Dd4H9hx4R\nRsSHKHe9OlLAZ+b9EfFCyg7GWwMLgb9m5u870d8YdgB2rOJo9/guynWLiLVY+pHkA6OcPt6mURIV\nlO/Lk6vPTwMuASzgJwbzRPfqijwBzeYK88TY+jFP9MMk1j2BB4Grq8kne1R/PTfhJ8Cu1edfA46O\niOsoF4FvdbrzahLUlOrze9snRzUwUernwGERMfSHZEbERpQZ9f9bRwARcSXlF2xz4L3AJpn5ybbx\nfT8A1utkHFn8JjO/lJknNnBRBjgR+B6wYWau0vZR60U5ItaOiBMj4k7K+M572z7qcgcwNI5ygDKE\nAcrPS9QYhzrLPFExT4ysG3KFeWK4fs8TE34IzZCI2Jzyl/M+wNqUiUnvyMz/aTCmXYBdgOsy8+c1\n9LcP8F+Z+XBEvJsxJoJk5ndqiOeplAvw84B1gVsojyH/CLwmMx+qIYbDKI/La1lhoqXfDwPfyMxF\n1eejysxOj3kdiulB4AVD4yubFBEnAS8HDqPcxdifMmHtA8AnM/N7NcXxTeCWzDwyIvYHvgRcRHmM\n/b+Z+d464lA9zBPmiTHiqD1XmCeWGUtf54m+KeCHRERQHkm+F3gT5RHc/2bmmL8c6pyIeCnlkeCT\nKI+Kz8oJ/oMZETdSxnXeXX0+mszMWpbmiojvABdk5jfr6G8ZsQwAe2fmbyPiAWDbagzsXsA/Zebr\naopjFcomKX+vXu9BWT7tOuCUzHykjjhUL/NE9zFPmCdGiKWv80TfFfCtomzMsTewb2Zu3aE+3rS8\n59Y5+SMizgN+l5lHtrU/FfhxZr6irliaFBGrAu+mPLIeaVe5vvh3AIiIz1Bm+P8SuJKlJyfVcoen\niuUh4NnVRL65lElal1Z3SK/MzJHGxErjzjxhngBzxRDzRPfo2wK+Gk+3Vqcfv0XEY21NydJjohKg\nzvFjVVx3Ux7z7JmZ86v2qcBtdcQSEV8B5mTmSW3t+wNbZObBNcRwIuWi/EvKznLDfiEy86BOx9At\nuuUOTxXLX4EPZebvIuIc4IrM/Fj1GPkTmblxB/t+PnBVZj5WfT6qdNvwCc08YZ5o6c9cgXmipe/G\n88SEL+Aj4o3A0zPz1Ja2z1DGTK0GnEcZ49jxCQ8R8Urgi8Cngf+rmnehbNbx6cw8u9MxtMTyGLAN\ncAplrOcbM/Ommi/Mc6t+L29r3w44o5O/fC19DVIewf2q03219Xvc8p6bmR/tZCzdKCIOAh7NzK9W\nvzc/pxQ0qwMfzcwTOtj3Y8AGmXln9flIxRSUZNXIigsaX+aJUWMxTyzpr/ZcYZ4YW7/niX5YRvKj\nwOMTkKIsw3QU8K/ALMri+4dV53Xa8cAHM/PClrazImIB8A1gZg0xtLodeCll04E/RsT/o/yb1GUK\nwzfmGHJ/dawOj9DMhhTbLOd5jfyFXY0Bpqkxppn5lZbPz4mIGcB2lDtxnb7rvTlwV8vnmvjME6Mz\nTxRN5ArzxBj6PU/0QwH/HIZfdN8GnJ2ZnwOIiEWUbZHruDA/Exhps4X7KVtl12nocezDwDsj4lDK\nJhFfrDGG64HdgK+3te8GjPWYbjwdCxwYEQfUeRHKzJfX1dcTERF7Ax8HtqxeXwt8KTNPazKuzLwZ\nuLnGvpb6XBOaeWJk5oklas8V5oknpt/yRD8U8E+mjOEb8iLgv1te/42yJFUd/ggcFxF7ZeY8eHws\n4Zcom4jUadijnsz8bETMAjq+LFiL4ylbQz+d8ogaygShTwAfqymGF1GWoXptRPyNpSfkvLWmOACI\niE2qfm+ps9+q748CR1PW+b2oan4R8O8RMaX1bkcNsYy22kcCiyh3wn6fmY92oO+unFCojjJPjMw8\nsUTX5ArzxOOx9HWe6Icx8HMoO6WdFRFPolykX5GZF1XHt6UsR9XRjXqqvqZTNul4FmUtW4BNKEsN\n7Z7DN4TodCybAgPtdxIi4rnAdlnD+r5Vfx+ijPWcWjXNBY7IzI5vWFL1/+2xjmfmvjXEsBpwOPBh\nluw4+BBlE5cjM3PxaF87znHcCByemd9ta9+H8j2p7TFhFct6wGSWbMjxVGAB5d9mfeAG4OXjncSW\nY0Lh478zjoGfGMwTo8ZinlgSQ6O5wjwxaiz9mycyc0J/AJ+njNfbi7JL2s3Aqi3H9wMurDGeofWF\nP1x9vIrqD6l+/qBsHb5u03E09P9+MjCPsvnE86uPD1DGnp5cYxyLgOkjtG8JLKr53+TtwPnAM1va\npgPnAnsAGwMXAv/T4TheCfyZ8rj+KdXHbpS7pK9q+mfHj3H7PpsneuDDPGGeaOuzr/NEP9yBn0SZ\nQf9Gyna3+2XmBS3HzwfOzMw6x/R1hYjYnvILMA0Ytm141jx0pJ9FxP3AHpn567b21wE/yMx1aorj\nKuD7mflvbe2HUlbgeF4dcVR9zgHelplXtLVvQ1l/eotqouGPM3PDDsZxFUtPKCQiXkzZIbHuCYXq\nAPPE6MwT3cE8MWIsfZ0nJvwY+MxcSNmEY7TjtU4SiYi1KTP6R7oY1rkBwh7Ad4GzKHd6fkN5ZDuV\n8vi2jhjWA45h9I0x1hjp6zoQx9sYPUFtW0MIDwM3jdB+I2Xlg7ocDvwwIl7CkrGN/0D5/ry9xjig\njDce6fq0GrBB9fltlLHLndRNEwrVIeaJUeMwTwyPpclcYZ5YWl/niQlfwEfEvYy8xNL9wLXAl7Om\ndXWrvwp/RRmvtTZwD2UZrAXAnUBtF2bKeMKDMvOkiHgQOJByITiF8kiuDqdSfvC/xAgbY9ShmgTz\nuSqWN1OWSnsmsANw0uhfOa5OBA6LiH2zrPZARKwJfKY6VovM/HFE7AQcBOxeNc8Cdsy2NZhrcD5w\nSkS8b6jv6vfnZJZMZHsenV+FopsmFKpDzBOjMk9UuiBXmCeW1td5oh+G0OwzyqF1KeuFvoPyCObn\nNcTyW0oy+CAlMWxNmcl+OnBCZv5vp2NoiWU+8Jwsm3LcDbwsM6+MiJnAeZ183NQSw4PASxr4pW+N\nYTZlAtAPqni2zswbIuIo4GmZeUCH+m3/Xr+ScoflL9XrrSl3eM7tx8fUEbEBcBrlrs7Q5KzVKGMb\n98rMeRHxcmD1zPxNB+PomgmF6hzzxKixmCeWxFF7rjBPjK3f88SEvwOfy5glHxFXAJ+i7ODVaS8A\nPpBl691HgTWrC8AnKMty1XZhpszYHnqsdCvwXOBKSsKaXFMMc2nobkqLacDF1ecLWfJvchpwCdCR\nAp6SmFv9uO11LcuDRcRTlvfczBxpM5WOyMw7gFdF2ZjjWVXzNZl5Tcs559cQx5wo22S/CphRNc8C\nzsmJfvejj5gnRmWeWKKJXGGeGLuvvs4TE76AXw6/AA6tqa/FwNDSQ3dSLgizKL+km9QUw5DfU37Y\nrqSsd3xCRLyiaju3phgOAj4fEe/PzLk19dnuDuBplFUnBoCdKXc3NmfkbZHHRdawPOVyuo/lT461\nL5mYmbOB2XX32xZDUsb+duwOjrqeeaK/8wQ0kCvME8unX/OEBTysSX0TQC6njJe7DvgdcFRETKEs\nXXZVTTEMOQBYq/r8c5Sk8ULKX/ifrSmG0yh3MW6OiAdYemOM9WuI4TzgTZTvzbeBr1QTlban3jtd\nTWmdnLcZ8AXKGM//q9p2Afah3H2sTUSMub5zZr6nxlh2ZfQJdLXFoUaZJ/o7T0B/5wrzxLJjqT1P\nTPgx8MsSEccDMzLzNTX0tT3w5Mw8PyLWp8zufyHlQv2ezPzLmG8wfnGsBryTsjHJvDr6HCWO9451\nPDP/s4YYVgFWycy/V6/3YMn35JTM7HjSrjajGPUXMTO36HQMVRznAt/MzB+0tb+Tsqzey+qIo+qz\nfYWL1SmP79eljL2tZbxnRBwO/CvwJ0aYQJeZb6kjDjXLPNHfeaKKo9FcYZ4YMZa+zhMTvoCPiONG\nObQOsC1l3NRLMvPP9UXVvIhYAMzMzJubjqXfRcSBbU2rA9sArwG+lJlfqCmOBZSJWde1tT8LuCIz\n6xrzOqIqgZ4MXJ+Zx9TU5+3AJzLztDr6UzPMEyMzT3QP88Ty6ac80Q9DaLYZpf0B4GzgrZnZ6SWG\nutGllMlSXXFhjojVKRekx2Xmgpr6Xouyq91Ij75+1un+M/OEUeLan/J4ti63AO8HPtHW/j5qmiw1\nlmpS33HAbynrQtdhDZZMXNPEZZ4YmXlieP+N5QrzxPLppzwx4e/Ad5NqXdAvs2Sc1LCJL5lZ2+SP\niHg7Zfvwr1C2AJ7fFstfa4hhMvBvlM0fprYfr+PfIyJeQ3lEPWWEw1nn96RdRGxBuaOx3CsArGR/\nr6OMbZ0D/KFq3pGyRfY/Zuav6ohjLFWM38nM9Wrq74vAQ5l5dB39SeaJpWJoPE9UcXRlrjBPLK1f\n8kQ/3IHvJqdSVhQ4mgY3pKj8V/XfkTYFSeqZSf5FymoGB1EmBX0Y2Jjy1/0na+gf4GuU1RWOanKc\n5yjeRtnEpRaZ+avqMeg/s2QprJ8D/56Ztd5ZGWFIQwAbAq+nLKVXl7WA/SLilcBfWXoC3UdrjEX9\n4VTME626IU9A9+YK80RLE32UJ7wDX6Nq84cXZ+YVXRDLpmMdr2PMY0QMAPtUk7UeBLap1lPdB/h/\nmfmGGmJ4oOr3+k73NUYMlzM8SQdlG+j1gH/JzG80EliDIqJ97d7HgLsoK0F8a2giWQNxDJOZLx/r\nuPREmSeWiqHxPFHF0WiuME8srd/zhHfg63ULHVxb/Al6KDPvBoiITSh3MyYBP8vMC2qK4enA0MXw\nAeCp1ee/p56tqaEs//Wyljia8NO210MXod9W69vWotqIYiQJLAIGstrCu9O6pTDuljjUV8wTw3VD\nnoDmc4V5or3DLrk+NxWHd+BrFBGvBg6m7LJ3U0MxPI/yuGtom989gDOBtSm/gJMpW4a3Xyw6EcuV\nlDsHF1RLU/05Mz9RTcr5dGZuVEMMa1PG891B2ayk/dHXSI+OJ6SIeIwld3iGCojWC8Ri4IeUn99F\nHY7lPMrEwfva2p8C/DQzX9Hh/pdnXefMzH/sZBzqP+aJpWJpPE9UcZgrME+09dNonrCAr1FE3Eu5\n8K0GLGDpC8DTaojh18DfKRsx7AW8ATiLcmcFyji/7TJz5xpi+RiwODNPqJLWzyh3FdYEPp6Zoy3t\nNp4x7At8g3Ln4G6GX4iyxrV1VwXeAsysmq4GzqjrEWAVwxsps/a/TFl9AsrkpIOBIyk/t18AfpiZ\nH+twLI8BG2TmnW3t6wO3ZubqI3/luPX/7eU5L7tnp0RNEOaJpWJpPE9UcTSeK8wTS8XS13nCAr5G\n1Zi9UWVmxyddRMQg8IrM/GtEPInySHKHofWNI2IGcElmrtvpWEaIbQvKclhzMvOymvq8gzJB6wuZ\n+diyzu9QDM+h3O2aClxTNT+L8nj0jZlZy+6LEXEJcHhmntXWvhtwdGbuGBG7A8dm5jM7FMPQ49kr\ngFcwfHLWqpQ1jz+QmZt1on+paeaJZcZWe56o+m00V5gnhvVlnsACvu+0/8VaTQraOjNvqF5PBW7r\n9JJY1Xq+vwAOyLYNIeoUEfdQElOTk1j/j3IR3icz763ankpZjWK9zHxhTXEspEzSmt3WPgO4PDMn\nRcRmwNXZoc06Rnk822oh8KHMHHMLbUkrzjwxYiyN5grzxLC+zBM4ibUxUTaEWKO1LTMfqKn79r/a\nav8rLjMXR8R2TfTd5jvAOyjrDDflBcD2QxdlgMy8NyI+A/yxxjhmA5+MiP2y2ha8SqCfrI4BbAR0\ncgm1zSkX5Bsoj2Xvajn2CHBnZj7awf6lrmGe6Jo8Ac3nCvPEEuYJLOBrVU2C+SJlQ4qnj3BKXRtB\nnBoRQ7PE1wL+PSKGNuhYs6YYAL4H7At8psY+260KfKJ6/NfUOt/XUh6L/q2tfX3KZhl12Z8yvnRu\nRAxt0PI8yr/R0FJtWwBf71QAmXlzlQy+A9ydbuGuPmOeWEo35AloPleYJyrmicIhNDWKiJOAlwOH\nAadRfhE2Aj4AfDIzv1dDDF0zOS8ijqdcmGcDf2LpXf7at2ruRAxjrd+anZ7FXsXwOsqkoCOAS6rm\nnYF/pdzVuLAloI7efYuIJwN7UsZWQhlr+f3MfLCT/Y4Qx32Ux7T9uH29+ph5YqlYGs8TVRyN5grz\nxIhx9HWesICvUZQNKfbOzN9G2RRi2ywbUuwF/FNmvq7hEGsVEWOtI5yZ+ZLagmlQNZ5vyGjLcwUN\nbtddt4j4DmV78K80HYtUJ/PEcOaJwjyxtH7PEw6hqdfTKGO2oMzqH1oO7ELg5EYiakC1isCNmfni\nhuNYnTLZ5QV1zeAfRVdsRgEQEVtS4lkfWKX1WGYeVWMo1wH/GhH/APyZpe+69cWay+pL5gm6J09U\nsXRDrjBPLK2v84QFfL1uoEy+GKA8Dnw7ZR3VNwL3jfF1E811wIbA0AoHPwQ+nJmdnPSylGqC1AD1\njSkdLY7fNdn/kIh4P6VAGKRsVjJsnWOgzgvzeym/E9tVH62SspybNBGZJ4quyBPQHbnCPDGivs4T\nDqGpUUQcBDyamV+NiFdS1nQNyioDB2XmCY0GWJNlLVFWcyzvBd4K7JWZ9yzr/A7G8WLKGNctgP+X\nmbdWj8xvzMwLx/7qcYvhZuDrmfnFOvqTtDTzRNFNeaLqv/FcYZ5QK+/A16h1nFZmnlOtm7odcF1m\nXtlcZH3tAGA6cFt1YWp/BLdtpwOIiH+kTFb7HrAtS1Z4WAf4NFDXmNenAv9dU1/LLSICysDOpmOR\nOs080bUazRXmibH1Y56wgK9BRLwCOBHYuXV2eLUU0n3AxRHx0Wzb2WwCS7pgjeHKTxvqt9WhwAcz\n87sRsUdL+0XVsbr8N/Bq4N9r7HNUEbE38HFgy+r1tcCXMvO0RgOTOsA8sZRuyhPQfK4wT4ygn/OE\nBXw9PgL8x0hLO2Xm/RFxCvAhoF8uzMHYawwDkJlv7XQgmXlkp/tYDlsBvx+h/X6gzq3K5wBHR8TO\nwJUsvc5xbeMJI+KjwNGUguaiqvlFlJ+TKf266oAmNPPEcF2TJ6p+ms4V5ok2/Z4nHANfg+px22sy\nc9Yox2cAv8nMafVG1oxuWmMYICLWBd4GPJPyl/s9EbEtMC8zb62h/xuA/arH5Y+P86zuLHwyM5/d\n6RiqOMZaSzczc4s64miJ5fDM/G5b+z7AEZm5eV2xSHUwTwzXbXkCms0V5olRY+nbPOEd+HpMpe2v\n1DZ/B9arKZbG1XnBXZaIeD5wDuUuxmbAfwD3UCYrTQP2riGM/wBOiIj3UB4RPyMidgG+TLm7UIsu\nu9htCFw8QvvF1TFpojFPtOimPAFdkSvME0vr6zyxyrJP0Ti4FXjuGMefD9xeUywa7jjg1MzcEljU\n0v4roK4NQr4AfB84F3gS5THpN4FTMvNrNcXQbeZQls9r9w7K8nLSRGOe6G5N5wrzxNL6Ok84hKYG\nEfE14GXADpm5qO3YJMoav+dn5ocbCK+vRcT9lJ0Or297LLkpcE1mrlVjLGtQVjl4EnB1Zj5UQ5/H\nAYdl5vzq81Fl5kc7Hc+QasWFH1LueA2NbfwHYFfg7Zn5k7pikepgnuhu3ZIrzBNL9HuecAhNPT5L\necx2bUScCFxTtc8A9qdsDvG5hmLrdw8DTxmh/VnAXXUGkpmPAFcPvY6IVYE9MvN7Hex2G2D1ls+7\nQmb+OCJ2BD4K7F41zwJ2zMzLm4tM6hjzRHfrilxhnlii3/OEd+BrUv2VfjKwG2V2PZRxbGcB+2fm\nWBND1CER8U3g6ZTHcPdQHlM/Slky7PeZ+ZEO9782ZXWBOUOrT1RtH6CsSjE1M9cc4y1qERFPzswH\na+hnFeBjwJspG9ecR5mMtLDTfUtNM090ryZzhXliqX7MEzgGvjaZeXNmvg6YAuwE7AxMyczXeVFu\n1MGUR5F3ApOA31HG1T0EfKaTHVcTkG4B/gjcHBFbR8S7gJurvr9PWe2go6qdH8c6/mTgzE7HUfkM\n8G/Ag5QxwR8GTqqpb6lR5omu1kiuME+MyDyBd+AlACLiH4CtKRfoyzLznBr6PJdyd+0rwJ7A9sAz\ngCOAk+q6mxARC4EPtC/FVR17EuXu39Mzc0YNsVxHWZ7tG9XrVwK/BCZl5mOd7l+SxlJ3rjBPjBiL\neQILePWpalLYrpn5i+r151myNTWUJdv+tX0y2TjHMAi8MjOviIh1gHuBfereQS4i3kbZovsdmfmz\nlva1KRfl9YGXZmbHV8CoNm2Znpm3tLQtqtrmdrp/SWrVdK4wT4wYi3kCJ7Gqf+0DvB74RfX6AOBv\nwNDdjBmUJds6uZPb04Db4PGdFucDl3SwvxFl5v9UG5T8ICJen5m/rS7KZ1LWpq7lolxZjeFLtEFZ\nG3v1Ec6VpE5rOleYJ5ZmnsACXv1rT+CYtrZ3ZuYNANUYw/3pbAGfwJOrOwdRvZ4UEcNWOsgRtlYf\n90AyvxkRTwPOiIg3A0dRHtO+NDNv63T/Ldq3T4cRtlDPmrZPl9T3ms4V5omlmSewgFf/mg5c2fJ6\nEdA6du5SOj8pJoBr215f3vY6KcvHdVxmHlNdnM8FbgJe1sDjyO+M0HZ6zTFI0pCmc4V5YmnmCSzg\n1b/WpWUcY2a2b1G+CsPHOXbCyzv8/sslIv63rWkxMEjZtvvxxjruZnTb9umS+l7TucI80cY8UVjA\nq1/NpWxbfs0ox59fndMxmfm7Tr7/E3B/2+sfNBKFJHWfRnOFeUKjcRUa9aWIOAF4JbDdKNuW/wk4\nJzMPbCI+SVLzzBXqVhbw6ksRMRW4AngEOJElYwy3oqwysBqwTWbOayZCSVLTzBXqVhbw6lsRsTll\n2/JXMXzb8rOBfxlaZUCS1L/MFepGFvDqe9WM+unVyzmZeU+T8UiSuo+5Qt3EAl6SJEnqIa5CIzWs\n2s3uk8CulO2oV2k9nplbNBGXJKk7mCfUzgJeat43gZcCp1G25K7tsVhEvGl5z83Mn3UyFknSqMwT\nGsYhNFLDIuI+4PWZeVEDfT/W1pQsmaQ19Lp8klnLTn+SpOHME2q3yrJPkdRh9wKNTIbKzFWGPoBX\nU5ZLey1l98F1gdcBlwGvaSI+SRJgnlAb78BLDYuIdwFvBvbJzAUNxnEV8MHMvLCt/cXANzJzZjOR\nSVJ/M0+onWPgpQZExOUMH8M4HZgXETcBi1vPzcxtawrrmcB9I7TfD2xWUwySJMwTGpsFvNSMnzYd\nwAj+CBwXEXsN7SpY7UL4JeDSRiOTpP5jntCoHEIjCYCImGpSGxIAAAX/SURBVA78BHgWcEvVvAlw\nHbB7Zs5pKjZJUvPME93DAl5qWETsAKySmX9oa98JeDQz/1RjLEHZLnxG1TQLOCe9UEhSY8wTamcB\nLzUsIi4FPp+ZP2lrfytwSGbu1EBMawEPe0GWpOaZJ9TOZSSl5j2bsixXu8urY7WIiFUi4rCIuBV4\nCNi8aj86It5bVxySpKWYJzSMBbzUvIeBDUZo3xD4e41xHAq8G/gE8EhL+1XA+2qMQ5I0nHlCw1jA\nS837DfD5iFhnqCEi1gX+DTi7xjj2BvbLzO8Bj7a0/4UlYx0lSfUzT2gYl5GUmvcx4PfAzdW6vwAv\nAOYBe9UYx0bASCsIrAKsXmMckqThzBMaxgJealhm3hoRzwf2BLYGFgLfBn6QmYvH/OLxdTXwYuDm\ntva3UcZZSpIaYJ5QOwt4qQtk5nzgGw2HcRTwnYjYiHI35a0RsRXlkekbGo1MkvqceUKtHAMvdYGI\n2CsiLoyI2yJi06rtoIh4c10xZOYZwBuBVwLzKRfqmcAbM7POMZaSpDbmCbWygJcaFhH/DBwH/Bp4\nKrBqdehe4CN1xpKZF2TmqzJz/cycnJkvyszf1BmDJGk484TaWcBLzfsQ8P7M/BzDlwP7E/C8uoKI\niBsi4ukjtK8bETfUFYckaSnmCQ1jAS81b3NGnvzzMLB2jXFsxpK7Oq3WpKw8IElqhnlCwziJVWre\njZTlwNpn9b8GmNXpziPiTS0vd4uI+1terwrsCtzU6TgkSaMyT2gYC3ipeccBJ0XEWkAAO0bEPwGf\nop6d7X5a/TeB77QdW0y5KB9cQxySpJGZJzRMZGbTMUh9LyL2BI4Anlk13QYcnpn/WWMMNwI7ZOZg\nXX1KkpaPeUKtLOClLhIRk4EnZeadTcciSeo+5gmBBbzUuIj4V+DCzDyvrX1t4ODMPKqDfX8Y+EZm\nLqo+H1VmfrVTcUiSRmeeUDsLeKlhEfEYZQzhpzLzuJb2qcBtmTnSjP/x6vtGYPvMvLv6fDSZmVt0\nKg5J0ujME2rnJFapO+xNmaD0POADmf+/vbt5taoMwzB+3TmwBvkR1GkmQYiDUNJJOBATSogGIaHO\nSpoEgkEEjqVxahD0PzgR8gOsgdMgsgYZpIgjiyYaDsV8HOzj1rNZ+xwne71rca4fHNicd8O6R+t+\neFnr3fWgj4tW1RtdnyVJg2NPaModeKmx5Z2V14GXgQvAf8BHTE4aWOjOiiRp+OwJzXIHXmqvAKrq\nVpJ3gHPAr8DnfYZIsgH4lMl5vq8x80NvVXWgzzySpCl7Qis4wEvt5cmHqrqf5APgLE/P3e3Lt0xu\nzJeAP1guDElSc/aEVnCAl9o7Bkx/1a6qHgEnkvwG7Osxx1HgcFVd7vGakqS12RNawWfgJQGQ5G9g\nf1XdaJ1FkjQ89sRwvLD2VyQtQpIDSf5MsqljbXOS60kO9hjpG+CLJFnzm5KkhbMnNI878FIjSX4A\nrlbVmTnrJ4D3q+rDnvKcB94F7gLXmZw5PFVVh/rIIUmasCc0j8/AS+3sAk6usv4j8FVPWWByLNn5\nHq8nSVqdPaFODvBSO0vM7F7MeAi82lMWqupYX9eSJD0Xe0KdfAZeaucO8NYq6zuBf3rKIkkaHntC\nnRzgpXYuA18neXF2IclLwCng4qJDJLmX5G7H3+0kV5K8t+gMkqRO9oQ6+RKr1EiSJeAa8D/wHfDX\n8tIO4DiwAdhdVf8uOMcnc5a2AHuAI8DHVXVhkTkkSSvZE5rHAV5qKMk24HvgIE9/aa+AK8Dxqrrd\nKtsTSb5kcmPe2zqLJK039oS6OMBLA5BkK/Amk5vzzaq61zjSVJLtwM9V9UrrLJK0XtkTepan0EgD\nsHwj/qV1jjk2Ag9ah5Ck9cye0LN8iVXSWj4Dfm8dQpI0WPZEz9yBl9a5JKfnLG0GdgPbgX39JZIk\nDYk9MTwO8JLenvP/+8BPwKEhvCQlSWrGnhgYX2KVJEmSRsRn4CVJkqQRcYCXJEmSRsQBXpIkSRoR\nB3hJkiRpRBzgJUmSpBFxgJckSZJGxAFekiRJGhEHeEmSJGlEHgNa2VSBqG2r8gAAAABJRU5ErkJg\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b2cf240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# tk need more plots here - see if we can find a neat way to keep the colors consistent across plots\n",
    "\n",
    "country_metrics = run_query(sales_by_country)\n",
    "country_metrics.set_index(\"country\",drop=True,inplace=True)\n",
    "colors = [plt.cm.Accent(i) for i in np.linspace(0,1,avg_order.shape[0])]\n",
    "\n",
    "fig, axes = plt.subplots(nrows=2,ncols=2,figsize=(9,10))\n",
    "ax1, ax2, ax3, ax4 = axes.flatten()\n",
    "fig.subplots_adjust(hspace=.5,wspace=.3)\n",
    "\n",
    "\n",
    "# top left\n",
    "sales_breakdown = country_metrics[\"total_sales\"].copy().rename('')\n",
    "colors = cmap(np.linspace(0., 1., sales_breakdown.shape[0]))\n",
    "sales_breakdown.plot.pie(\n",
    "    ax=ax1,\n",
    "    startangle=-90,\n",
    "    counterclock=False,\n",
    "    title='Sales Breakdown by Country',\n",
    "    colormap=plt.cm.Accent,\n",
    "    fontsize=8,\n",
    "    wedgeprops={'linewidth':0}\n",
    "    \n",
    ")\n",
    "\n",
    "# top right\n",
    "cvd_cols = [\"customers\",\"total_sales\"]\n",
    "custs_vs_dollars = country_metrics[cvd_cols].copy()\n",
    "custs_vs_dollars.index.name = ''\n",
    "for c in cvd_cols:\n",
    "    custs_vs_dollars[c] /= custs_vs_dollars[c].sum() / 100\n",
    "custs_vs_dollars.plot.bar(\n",
    "    ax=ax2,\n",
    "    colormap=plt.cm.Set1,\n",
    "    title=\"Pct Customers vs Sales\"\n",
    ")\n",
    "ax2.tick_params(top=\"off\",right=\"off\",left=\"off\",bottom=\"off\")\n",
    "ax2.spines[\"top\"].set_visible(False)\n",
    "ax2.spines[\"right\"].set_visible(False)\n",
    "\n",
    "\n",
    "# bottom left\n",
    "avg_order = country_metrics[\"average_order\"].copy()\n",
    "avg_order.index.name = ''\n",
    "difference_from_avg = avg_order * 100 / avg_order.mean() - 100\n",
    "difference_from_avg.drop(\"Other\",inplace=True)\n",
    "difference_from_avg.plot.bar(\n",
    "    ax=ax3,\n",
    "    color=colors,\n",
    "    title=\"Average Order,\\nPct Difference from Mean\"\n",
    ")\n",
    "ax3.tick_params(top=\"off\",right=\"off\",left=\"off\",bottom=\"off\")\n",
    "ax3.axhline(0,color='k')\n",
    "ax3.spines[\"top\"].set_visible(False)\n",
    "ax3.spines[\"right\"].set_visible(False)\n",
    "ax3.spines[\"bottom\"].set_visible(False)\n",
    "\n",
    "# bottom right\n",
    "ltv = country_metrics[\"customer_lifetime_value\"].copy()\n",
    "ltv.index.name = ''\n",
    "ltv.drop(\"Other\",inplace=True)\n",
    "ltv.plot.bar(\n",
    "    ax=ax4,\n",
    "    color=colors,\n",
    "    title=\"Customer Lifetime Value, Dollars\"\n",
    ")\n",
    "ax4.tick_params(top=\"off\",right=\"off\",left=\"off\",bottom=\"off\")\n",
    "ax4.spines[\"top\"].set_visible(False)\n",
    "ax4.spines[\"right\"].set_visible(False)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Based on the data, there may be opportunity in the following countries:\n",
    "\n",
    "- Czech Republic\n",
    "- United Kingdom\n",
    "- India\n",
    "\n",
    "It's worth keeping in mind that because the amount of data from each of these countries is relatively low.  Because of this, we should be cautious spending too much money on new marketing campaigns, as the sample size is not large enough to give us high confidence.  A better approach would be to run small campaigns in these countries, collecting and analyzing the new customers to make sure that these trends hold with new customers."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Albums vs Individual Tracks, Part 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 401,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>album_purchase</th>\n",
       "      <th>number_of_invoices</th>\n",
       "      <th>percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>no</td>\n",
       "      <td>497</td>\n",
       "      <td>0.809446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>yes</td>\n",
       "      <td>117</td>\n",
       "      <td>0.190554</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  album_purchase  number_of_invoices   percent\n",
       "0             no                 497  0.809446\n",
       "1            yes                 117  0.190554"
      ]
     },
     "execution_count": 401,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "albums_vs_tracks = '''\n",
    "WITH invoice_first_track AS\n",
    "    (\n",
    "     SELECT\n",
    "         il.invoice_id invoice_id,\n",
    "         MIN(il.track_id) first_track_id\n",
    "     FROM invoice_line il\n",
    "     GROUP BY 1\n",
    "    )\n",
    "\n",
    "SELECT\n",
    "    album_purchase,\n",
    "    COUNT(invoice_id) number_of_invoices,\n",
    "    CAST(count(invoice_id) AS FLOAT) / (\n",
    "                                         SELECT COUNT(*) FROM invoice\n",
    "                                      ) percent\n",
    "FROM\n",
    "    (\n",
    "    SELECT\n",
    "        ifs.*,\n",
    "        CASE\n",
    "            WHEN\n",
    "                 (\n",
    "                  SELECT t.track_id FROM track t\n",
    "                  WHERE t.album_id = (\n",
    "                                      SELECT t2.album_id FROM track t2\n",
    "                                      WHERE t2.track_id = ifs.first_track_id\n",
    "                                     ) \n",
    "                                     \n",
    "                  EXCEPT \n",
    "                  \n",
    "                  SELECT il2.track_id FROM invoice_line il2\n",
    "                  WHERE il2.invoice_id = ifs.invoice_id\n",
    "                 ) IS NULL THEN \"yes\"\n",
    "             ELSE \"no\"\n",
    "         END AS \"album_purchase\"\n",
    "     FROM invoice_first_track ifs\n",
    "    )\n",
    "GROUP BY album_purchase\n",
    "'''\n",
    "\n",
    "run_query(albums_vs_tracks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Albums vs Individual Tracks, Part 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 400,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>album_purchase</th>\n",
       "      <th>number_of_invoices</th>\n",
       "      <th>percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>no</td>\n",
       "      <td>475</td>\n",
       "      <td>0.773616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>yes</td>\n",
       "      <td>139</td>\n",
       "      <td>0.226384</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  album_purchase  number_of_invoices   percent\n",
       "0             no                 475  0.773616\n",
       "1            yes                 139  0.226384"
      ]
     },
     "execution_count": 400,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "albums_vs_tracks_2 = '''\n",
    "WITH invoice_first_track AS \n",
    "    (\n",
    "     SELECT\n",
    "         il.invoice_id invoice_id,\n",
    "         i.customer_id,\n",
    "         MIN(il.track_id) first_track_id\n",
    "     FROM invoice_line il\n",
    "     INNER JOIN invoice i ON i.invoice_id = il.invoice_id\n",
    "     GROUP BY 1, 2\n",
    "    )\n",
    "\n",
    "SELECT\n",
    "    album_purchase,\n",
    "    COUNT(invoice_id) number_of_invoices,\n",
    "    CAST(COUNT(invoice_id) AS FLOAT) / (\n",
    "                                         SELECT COUNT(*) FROM invoice\n",
    "                                       ) percent\n",
    "FROM\n",
    "    (\n",
    "    SELECT\n",
    "        ifs.*,\n",
    "        t.album_id,\n",
    "        CASE\n",
    "            WHEN\n",
    "                (\n",
    "                 SELECT t3.track_id FROM track t3\n",
    "                 WHERE t3.album_id = t.album_id\n",
    "                 \n",
    "                 EXCEPT\n",
    "                 \n",
    "                 SELECT il2.track_id FROM invoice_line il2\n",
    "                 INNER JOIN invoice i2 ON i2.invoice_id = il2.invoice_id\n",
    "                 INNER JOIN track t2 ON t2.track_id = il2.track_id\n",
    "                 WHERE\n",
    "                         il2.invoice_id <= ifs.invoice_id\n",
    "                     AND i2.customer_id = ifs.customer_id\n",
    "                     AND t2.album_id = t.album_id\n",
    "\n",
    "                ) IS NULL THEN \"yes\"\n",
    "            ELSE \"no\"\n",
    "        END AS \"album_purchase\"\n",
    "    FROM invoice_first_track ifs\n",
    "    INNER JOIN track t ON ifs.first_track_id = t.track_id\n",
    "    )\n",
    "GROUP BY 1\n",
    "'''\n",
    "\n",
    "run_query(albums_vs_tracks_2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Album purchases account for 22.6% of purchases.  Based on this data, I would recommend against purchasing only select tracks from albums from record companies, since there is potential to lose one fifth of revenue."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dscontent",
   "language": "python",
   "name": "dscontent"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.4"
  },
  "notify_time": "30"
 },
 "nbformat": 4,
 "nbformat_minor": 2
}