{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Retrieving image cutouts from r-dropouts in SMASH\n",
    "\n",
    "\n",
    "## Summary\n",
    "In this notebook, we will look for objects that are detected in i and z in SMASH and in ALLWISE, but are undetected in u, g, and r.\n",
    "\n",
    "## Image cutouts\n",
    "We'll pick out some promising dropout candidates, and show how to call the Simple Image Access (SIA) service to get cutouts for them.\n",
    "\n",
    "## Known issues\n",
    "The notebook only retrieves cutouts for one object.  In order to retrieve cutouts for all candidates, the SIA service needs to be called in a loop.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initialization\n",
    "\n",
    "We begin by importing the requisite libraries and getting the authorization token for the Query Client."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Start\n",
      "Got token anonymous.0.0.anon_access\n"
     ]
    }
   ],
   "source": [
    "print \"Start\"\n",
    "import numpy as np\n",
    "import sys\n",
    "\n",
    "import pandas as pd\n",
    "from cStringIO import StringIO\n",
    "from dl import authClient\n",
    "from dl import queryClient\n",
    "from pyvo.dal import sia\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import astropy.utils\n",
    "%matplotlib inline\n",
    "\n",
    "# Get the security token for the datalab demo user\n",
    "token = authClient.login('anonymous')\n",
    "print \"Got token\",token"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Catalog query\n",
    "\n",
    "For our query, we will look for objects that are undetected or have large errors in u, g, and r, but are detected and have small errors in i and z.  We will only keep objects that have a match in the ALLWISE catalog.  Using subqueries to limit the object and xmatch tables using indexed columns makes the query run much faster than it would otherwise. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your query is: SELECT db1.fieldid,db1.id,db1.ra,db1.dec,db1.umag,db1.gmag,db1.rmag,db1.imag,db1.zmag,db1.uerr,db1.gerr,db1.rerr,db1.ierr,db1.zerr,db1.depthflag,db2.wise_id,db2.wise_w1mag,db2.wise_w1err,db2.wise_w2mag,db2.wise_w2err FROM (SELECT * FROM smash_dr1.object WHERE depthflag > 1) AS db1, (SELECT * FROM smash_dr1.xmatch WHERE wise_match=1) AS db2 WHERE ((db1.id=db2.id) and (db1.ndetu=0 or db1.uerr>0.3) and  (db1.ndetg=0 or db1.gerr>0.3) and  (db1.ndetr=0 or db1.rerr>0.3) and  (db1.ndeti>0 and db1.ierr<0.1) and  (db1.ndetz>0 and db1.zerr<0.1))\n",
      "Making query\n",
      "5769 objects found.\n",
      "CPU times: user 46.9 ms, sys: 14.8 ms, total: 61.7 ms\n",
      "Wall time: 39.8 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "db1='smash_dr1.object' # the SMASH object table with average magnitudes\n",
    "db1sel='db1.fieldid,db1.id,db1.ra,db1.dec,db1.umag,db1.gmag,db1.rmag,db1.imag,' +\\\n",
    "    'db1.zmag,db1.uerr,db1.gerr,db1.rerr,db1.ierr,db1.zerr,db1.depthflag' # select ID, coordinates, and mags\n",
    "db2='smash_dr1.xmatch' # the SMASH cross-match table, which contains cross-matches to ALLWISE\n",
    "db2sel='db2.wise_id,db2.wise_w1mag,db2.wise_w1err,db2.wise_w2mag,db2.wise_w2err' # ALLWISE W1&W2 mags\n",
    "db1where='(db1.ndetu=0 or db1.uerr>0.3) and ' + \\\n",
    "        ' (db1.ndetg=0 or db1.gerr>0.3) and ' + \\\n",
    "        ' (db1.ndetr=0 or db1.rerr>0.3) and ' + \\\n",
    "        ' (db1.ndeti>0 and db1.ierr<0.1) and ' + \\\n",
    "        ' (db1.ndetz>0 and db1.zerr<0.1)' # pick ugr dropouts\n",
    "db2where='(db1.id=db2.id)' # only pick dropouts that are found in ALLWISE W1\n",
    "\n",
    "# Create the query string.\n",
    "query = 'SELECT '+db1sel+','+db2sel+' FROM (SELECT * FROM '+db1+' WHERE depthflag > 1) AS db1, '+ \\\n",
    "    '(SELECT * FROM '+db2+' WHERE wise_match=1) AS db2 ' +\\\n",
    "    'WHERE ('+db2where+' and '+db1where+')'\n",
    "        \n",
    "print \"Your query is:\", query\n",
    "print \"Making query\"\n",
    "\n",
    "# Call the Query Manager Service    \n",
    "response = queryClient.query(token, adql = query, fmt = 'csv')\n",
    "df = pd.read_csv(StringIO(response))\n",
    "\n",
    "print len(df), \"objects found.\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Examine the results\n",
    "\n",
    "Let's look at the columns of our Pandas dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fieldid</th>\n",
       "      <th>id</th>\n",
       "      <th>ra</th>\n",
       "      <th>dec</th>\n",
       "      <th>umag</th>\n",
       "      <th>gmag</th>\n",
       "      <th>rmag</th>\n",
       "      <th>imag</th>\n",
       "      <th>zmag</th>\n",
       "      <th>uerr</th>\n",
       "      <th>gerr</th>\n",
       "      <th>rerr</th>\n",
       "      <th>ierr</th>\n",
       "      <th>zerr</th>\n",
       "      <th>depthflag</th>\n",
       "      <th>wise_id</th>\n",
       "      <th>wise_w1mag</th>\n",
       "      <th>wise_w1err</th>\n",
       "      <th>wise_w2mag</th>\n",
       "      <th>wise_w2err</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5764</th>\n",
       "      <td>143</td>\n",
       "      <td>143.606683</td>\n",
       "      <td>328.994058</td>\n",
       "      <td>-75.331512</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.9900</td>\n",
       "      <td>21.9871</td>\n",
       "      <td>21.2820</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.9900</td>\n",
       "      <td>0.076493</td>\n",
       "      <td>0.029318</td>\n",
       "      <td>3</td>\n",
       "      <td>J215558.55-751953.2</td>\n",
       "      <td>16.818</td>\n",
       "      <td>0.082</td>\n",
       "      <td>17.139</td>\n",
       "      <td>0.336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5765</th>\n",
       "      <td>66</td>\n",
       "      <td>66.174940</td>\n",
       "      <td>126.894873</td>\n",
       "      <td>-72.594395</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.99</td>\n",
       "      <td>24.4057</td>\n",
       "      <td>23.7287</td>\n",
       "      <td>22.4523</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>0.3013</td>\n",
       "      <td>0.075184</td>\n",
       "      <td>0.058873</td>\n",
       "      <td>2</td>\n",
       "      <td>J082734.73-723540.2</td>\n",
       "      <td>16.232</td>\n",
       "      <td>0.041</td>\n",
       "      <td>16.044</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5766</th>\n",
       "      <td>20</td>\n",
       "      <td>20.554956</td>\n",
       "      <td>34.967641</td>\n",
       "      <td>-67.319301</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.9900</td>\n",
       "      <td>21.9749</td>\n",
       "      <td>20.8371</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.9900</td>\n",
       "      <td>0.030733</td>\n",
       "      <td>0.030527</td>\n",
       "      <td>3</td>\n",
       "      <td>J021952.20-671909.6</td>\n",
       "      <td>15.675</td>\n",
       "      <td>0.037</td>\n",
       "      <td>15.377</td>\n",
       "      <td>0.067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5767</th>\n",
       "      <td>57</td>\n",
       "      <td>57.446698</td>\n",
       "      <td>110.441960</td>\n",
       "      <td>-54.514229</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.9900</td>\n",
       "      <td>23.7300</td>\n",
       "      <td>22.5305</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.9900</td>\n",
       "      <td>0.099939</td>\n",
       "      <td>0.064908</td>\n",
       "      <td>2</td>\n",
       "      <td>J072146.04-543050.9</td>\n",
       "      <td>16.845</td>\n",
       "      <td>0.064</td>\n",
       "      <td>16.640</td>\n",
       "      <td>0.156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5768</th>\n",
       "      <td>19</td>\n",
       "      <td>19.418884</td>\n",
       "      <td>31.620555</td>\n",
       "      <td>-78.234641</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.9900</td>\n",
       "      <td>23.5604</td>\n",
       "      <td>22.7129</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.9900</td>\n",
       "      <td>0.099802</td>\n",
       "      <td>0.084973</td>\n",
       "      <td>2</td>\n",
       "      <td>J020628.86-781404.6</td>\n",
       "      <td>16.951</td>\n",
       "      <td>0.071</td>\n",
       "      <td>16.537</td>\n",
       "      <td>0.175</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      fieldid          id          ra        dec   umag   gmag     rmag  \\\n",
       "5764      143  143.606683  328.994058 -75.331512  99.99  99.99  99.9900   \n",
       "5765       66   66.174940  126.894873 -72.594395  99.99  99.99  24.4057   \n",
       "5766       20   20.554956   34.967641 -67.319301  99.99  99.99  99.9900   \n",
       "5767       57   57.446698  110.441960 -54.514229  99.99  99.99  99.9900   \n",
       "5768       19   19.418884   31.620555 -78.234641  99.99  99.99  99.9900   \n",
       "\n",
       "         imag     zmag  uerr  gerr    rerr      ierr      zerr  depthflag  \\\n",
       "5764  21.9871  21.2820  9.99  9.99  9.9900  0.076493  0.029318          3   \n",
       "5765  23.7287  22.4523  9.99  9.99  0.3013  0.075184  0.058873          2   \n",
       "5766  21.9749  20.8371  9.99  9.99  9.9900  0.030733  0.030527          3   \n",
       "5767  23.7300  22.5305  9.99  9.99  9.9900  0.099939  0.064908          2   \n",
       "5768  23.5604  22.7129  9.99  9.99  9.9900  0.099802  0.084973          2   \n",
       "\n",
       "                  wise_id  wise_w1mag  wise_w1err  wise_w2mag  wise_w2err  \n",
       "5764  J215558.55-751953.2      16.818       0.082      17.139       0.336  \n",
       "5765  J082734.73-723540.2      16.232       0.041      16.044       0.089  \n",
       "5766  J021952.20-671909.6      15.675       0.037      15.377       0.067  \n",
       "5767  J072146.04-543050.9      16.845       0.064      16.640       0.156  \n",
       "5768  J020628.86-781404.6      16.951       0.071      16.537       0.175  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simple plots of the results\n",
    "\n",
    "We'll make an z-W1, i CMD of the objects and a i-z,z-W1 color-color plot to pick out which candidates we'd like to follow up further."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7feb4c67f690>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAHHCAYAAABuqcP8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7feb9852ed10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(10,5))\n",
    "ax1=fig.add_subplot(121)\n",
    "ax2=fig.add_subplot(122)\n",
    "ax1.plot(df[\"zmag\"]-df[\"wise_w1mag\"],df[\"imag\"],'.',alpha=0.1)\n",
    "ax1.axis([0,10,25,14])\n",
    "ax1.set_xlabel('z-W1')\n",
    "ax1.set_ylabel('i')\n",
    "\n",
    "ax2.plot(df[\"imag\"]-df[\"zmag\"],df[\"zmag\"]-df[\"wise_w1mag\"],'.',alpha=0.1)\n",
    "#ax2.axis([-2,4,1,8])\n",
    "ax2.set_xlabel('i-z')\n",
    "ax2.set_ylabel('z-W1')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selecting candidates\n",
    "\n",
    "The cloud of points in both plots are probably galaxies, while stars should trace out a sequence in the color-color diagram.  Let's take a closer look at those candidates with i-z colors greater then 2.0 and z-W1 less than 4, which we think will be stars with red SEDs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "42\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fieldid</th>\n",
       "      <th>id</th>\n",
       "      <th>ra</th>\n",
       "      <th>dec</th>\n",
       "      <th>umag</th>\n",
       "      <th>gmag</th>\n",
       "      <th>rmag</th>\n",
       "      <th>imag</th>\n",
       "      <th>zmag</th>\n",
       "      <th>uerr</th>\n",
       "      <th>gerr</th>\n",
       "      <th>rerr</th>\n",
       "      <th>ierr</th>\n",
       "      <th>zerr</th>\n",
       "      <th>depthflag</th>\n",
       "      <th>wise_id</th>\n",
       "      <th>wise_w1mag</th>\n",
       "      <th>wise_w1err</th>\n",
       "      <th>wise_w2mag</th>\n",
       "      <th>wise_w2err</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5502</th>\n",
       "      <td>104</td>\n",
       "      <td>104.550934</td>\n",
       "      <td>176.107300</td>\n",
       "      <td>-38.764921</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.9900</td>\n",
       "      <td>22.8623</td>\n",
       "      <td>20.8363</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.990000</td>\n",
       "      <td>0.034805</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>3</td>\n",
       "      <td>J114425.78-384553.9</td>\n",
       "      <td>17.001</td>\n",
       "      <td>0.090</td>\n",
       "      <td>17.382</td>\n",
       "      <td>0.424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5526</th>\n",
       "      <td>22</td>\n",
       "      <td>22.589562</td>\n",
       "      <td>39.894183</td>\n",
       "      <td>-74.438929</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.9900</td>\n",
       "      <td>23.2871</td>\n",
       "      <td>21.1734</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.990000</td>\n",
       "      <td>0.035547</td>\n",
       "      <td>0.016528</td>\n",
       "      <td>3</td>\n",
       "      <td>J023934.56-742619.8</td>\n",
       "      <td>17.786</td>\n",
       "      <td>0.130</td>\n",
       "      <td>17.477</td>\n",
       "      <td>9999.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5594</th>\n",
       "      <td>181</td>\n",
       "      <td>181.279342</td>\n",
       "      <td>343.462964</td>\n",
       "      <td>-78.197903</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.99</td>\n",
       "      <td>24.1645</td>\n",
       "      <td>22.6290</td>\n",
       "      <td>20.5591</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>0.372108</td>\n",
       "      <td>0.043736</td>\n",
       "      <td>0.016403</td>\n",
       "      <td>3</td>\n",
       "      <td>J225351.09-781152.4</td>\n",
       "      <td>16.990</td>\n",
       "      <td>0.088</td>\n",
       "      <td>16.795</td>\n",
       "      <td>0.275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5647</th>\n",
       "      <td>143</td>\n",
       "      <td>143.357304</td>\n",
       "      <td>330.078534</td>\n",
       "      <td>-76.359593</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.99</td>\n",
       "      <td>24.1651</td>\n",
       "      <td>22.9585</td>\n",
       "      <td>20.9505</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>0.353104</td>\n",
       "      <td>0.066035</td>\n",
       "      <td>0.017624</td>\n",
       "      <td>3</td>\n",
       "      <td>J220018.91-762134.2</td>\n",
       "      <td>17.739</td>\n",
       "      <td>0.163</td>\n",
       "      <td>17.602</td>\n",
       "      <td>0.482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5654</th>\n",
       "      <td>91</td>\n",
       "      <td>91.452798</td>\n",
       "      <td>163.335036</td>\n",
       "      <td>-42.190873</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.99</td>\n",
       "      <td>99.9900</td>\n",
       "      <td>20.9372</td>\n",
       "      <td>18.5298</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.990000</td>\n",
       "      <td>0.062298</td>\n",
       "      <td>0.093738</td>\n",
       "      <td>2</td>\n",
       "      <td>J105320.44-421127.3</td>\n",
       "      <td>15.915</td>\n",
       "      <td>0.045</td>\n",
       "      <td>16.216</td>\n",
       "      <td>0.157</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      fieldid          id          ra        dec   umag   gmag     rmag  \\\n",
       "5502      104  104.550934  176.107300 -38.764921  99.99  99.99  99.9900   \n",
       "5526       22   22.589562   39.894183 -74.438929  99.99  99.99  99.9900   \n",
       "5594      181  181.279342  343.462964 -78.197903  99.99  99.99  24.1645   \n",
       "5647      143  143.357304  330.078534 -76.359593  99.99  99.99  24.1651   \n",
       "5654       91   91.452798  163.335036 -42.190873  99.99  99.99  99.9900   \n",
       "\n",
       "         imag     zmag  uerr  gerr      rerr      ierr      zerr  depthflag  \\\n",
       "5502  22.8623  20.8363  9.99  9.99  9.990000  0.034805  0.015223          3   \n",
       "5526  23.2871  21.1734  9.99  9.99  9.990000  0.035547  0.016528          3   \n",
       "5594  22.6290  20.5591  9.99  9.99  0.372108  0.043736  0.016403          3   \n",
       "5647  22.9585  20.9505  9.99  9.99  0.353104  0.066035  0.017624          3   \n",
       "5654  20.9372  18.5298  9.99  9.99  9.990000  0.062298  0.093738          2   \n",
       "\n",
       "                  wise_id  wise_w1mag  wise_w1err  wise_w2mag  wise_w2err  \n",
       "5502  J114425.78-384553.9      17.001       0.090      17.382       0.424  \n",
       "5526  J023934.56-742619.8      17.786       0.130      17.477    9999.000  \n",
       "5594  J225351.09-781152.4      16.990       0.088      16.795       0.275  \n",
       "5647  J220018.91-762134.2      17.739       0.163      17.602       0.482  \n",
       "5654  J105320.44-421127.3      15.915       0.045      16.216       0.157  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfcand=df[((df[\"imag\"]-df[\"zmag\"])>2) & ((df[\"zmag\"]-df[\"wise_w1mag\"])<4)]\n",
    "print len(dfcand)\n",
    "dfcand.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simple Image Access setup\n",
    "\n",
    "To use the Simple Image Access (SIA) service, we need to define the service URL and the size of the cutouts that we would like to retrieve."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "DEF_ACCESS_URL = \"http://datalab.noao.edu/sia/smash\"\n",
    "DEF_SIZE = 0.0085  # degrees\n",
    "svc = sia.SIAService (DEF_ACCESS_URL)\n",
    "size = DEF_SIZE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selecting one object\n",
    "\n",
    "Let's pick off the first candidate in the list and retrieve the list of images available as a VOTable.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The image list contains 112 entries\n"
     ]
    }
   ],
   "source": [
    "ra1=dfcand[\"ra\"].iloc[0]\n",
    "dec1=dfcand[\"dec\"].iloc[0]\n",
    "id1=dfcand[\"id\"].iloc[0]\n",
    "\n",
    "images = svc.search((ra1,dec1), (size/np.cos(dec1*np.pi/180), size), verbosity=2)\n",
    "print \"The image list contains\",images.nrecs,\"entries\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selecting the images for retrieval\n",
    "\n",
    "We'll convert the VOTable to an AstroPy Table.  Printing the full image table shows that the SIA service finds raw, processed, resampled, and stacked images (proctype=RAW, InstCal, Resampled, or Stacked), different versions of the stacks (proctype=Stacked and prodtype=image or image1), as well as the exposure map, weight map, and data quality masks of the stacks (proctype=Stacked and prodtype=expmap, wtmap, or dqmask).  The NOAO Data Handbook and the NOAO Archive (archive.noao.edu) have explanations for the meanings of these different data products. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "&lt;Table masked=True length=112&gt;\n",
       "<table id=\"table140648687924368\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>assoc_id</th><th>access_url</th><th>access_format</th><th>access_estsize</th><th>dataproduct_type</th><th>dataproduct_subtype</th><th>calib_level</th><th>dataset_length</th><th>im_nsubarrays</th><th>im_naxes</th><th>im_naxis</th><th>im_pixtype</th><th>im_wcsaxes</th><th>im_scale</th><th>obs_title</th><th>obs_id</th><th>obs_creator_name</th><th>obs_collection</th><th>obs_creation_type</th><th>obs_creation_date</th><th>facility_name</th><th>instrument_name</th><th>obs_bandpass</th><th>obs_datasource</th><th>proposal_id</th><th>obs_publisher_did</th><th>obs_release_date</th><th>preview</th><th>target_name</th><th>target_class</th><th>s_ra</th><th>s_dec</th><th>s_fov</th><th>s_region</th><th>s_calib_status</th><th>s_resolution</th><th>em_min</th><th>em_max</th><th>em_resolution</th><th>em_res_power</th><th>t_min</th><th>t_max</th><th>t_exptime</th><th>t_resolution</th><th>o_ucd</th><th>o_unit</th><th>pol_states</th><th>object</th><th>airmass</th><th>project_code</th><th>magzero</th><th>prodtype</th><th>seeing</th><th>fwhm</th><th>file_set_id</th><th>exptime</th><th>photflag</th><th>proctype</th><th>date_obs</th><th>mjd_obs</th><th>elliptic</th></tr></thead>\n",
       "<thead><tr><th></th><th></th><th></th><th>byte</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>deg</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th></th><th>arcs</th><th>m</th><th>m</th><th>m</th><th></th><th>d</th><th>d</th><th>s</th><th>s</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>object</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>object</th><th>int64</th><th>int64</th><th>int32</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>str1</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
       "<tr><td>ct4m20140602t230356</td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230520_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>413493</td><td></td><td></td><td>0</td><td>0</td><td>0</td><td>2</td><td>[2160 4146]</td><td></td><td></td><td>[0.27]</td><td></td><td>ct4m20140602t230356</td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>r</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_230520_ori.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230520_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79400000000001</td><td>-39.423699999999997</td><td>--</td><td></td><td></td><td>--</td><td>5675.0</td><td>7155.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>0</td><td>image</td><td>0</td><td>0</td><td></td><td>30</td><td></td><td>RAW</td><td>2014-06-02T23:03:56.253448</td><td>556810.96106775</td><td>0</td></tr>\n",
       "<tr><td>ct4m20140602t230455</td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230648_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>398590</td><td></td><td></td><td>0</td><td>0</td><td>0</td><td>2</td><td>[2160 4146]</td><td></td><td></td><td>[0.27]</td><td></td><td>ct4m20140602t230455</td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>g</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_230648_ori.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230648_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79400000000001</td><td>-39.423699999999997</td><td>--</td><td></td><td></td><td>--</td><td>3960.0</td><td>5480.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>0</td><td>image</td><td>0</td><td>0</td><td></td><td>60</td><td></td><td>RAW</td><td>2014-06-02T23:04:55.374376</td><td>556810.96175202</td><td>0</td></tr>\n",
       "<tr><td>ct4m20140602t230920</td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231111_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>531624</td><td></td><td></td><td>0</td><td>0</td><td>0</td><td>2</td><td>[2160 4146]</td><td></td><td></td><td>[0.27]</td><td></td><td>ct4m20140602t230920</td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>z</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_231111_ori.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231111_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79400000000001</td><td>-39.4236</td><td>--</td><td></td><td></td><td>--</td><td>8500.0</td><td>10020.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>0</td><td>image</td><td>0</td><td>0</td><td></td><td>60</td><td></td><td>RAW</td><td>2014-06-02T23:09:20.851020</td><td>556810.96482466</td><td>0</td></tr>\n",
       "<tr><td>ct4m20140602t230752</td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>493500</td><td></td><td></td><td>0</td><td>0</td><td>0</td><td>2</td><td>[2160 4146]</td><td></td><td></td><td>[0.27]</td><td></td><td>ct4m20140602t230752</td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>i</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_230944_ori.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79400000000001</td><td>-39.4236</td><td>--</td><td></td><td></td><td>--</td><td>7100.0</td><td>8570.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>0</td><td>image</td><td>0</td><td>0</td><td></td><td>60</td><td></td><td>RAW</td><td>2014-06-02T23:07:52.956307</td><td>556810.96380736</td><td>0</td></tr>\n",
       "<tr><td>ct4m20140602t235630</td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140603_000254_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>590923</td><td></td><td></td><td>0</td><td>0</td><td>0</td><td>2</td><td>[2160 4146]</td><td></td><td></td><td>[0.27]</td><td></td><td>ct4m20140602t235630</td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>i</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140603_000254_ori.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140603_000254_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79499999999999</td><td>-39.4238</td><td>--</td><td></td><td></td><td>--</td><td>7100.0</td><td>8570.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.01</td><td>2013B-0440</td><td>0</td><td>image</td><td>0</td><td>0</td><td></td><td>333</td><td></td><td>RAW</td><td>2014-06-02T23:56:30.548452</td><td>556810.99757579</td><td>0</td></tr>\n",
       "<tr><td>ct4m20140603t001436</td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140603_002102_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>632064</td><td></td><td></td><td>0</td><td>0</td><td>0</td><td>2</td><td>[2160 4146]</td><td></td><td></td><td>[0.27]</td><td></td><td>ct4m20140603t001436</td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>z</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140603_002102_ori.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140603_002102_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79499999999999</td><td>-39.4238</td><td>--</td><td></td><td></td><td>--</td><td>8500.0</td><td>10020.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>0</td><td>image</td><td>0</td><td>0</td><td></td><td>333</td><td></td><td>RAW</td><td>2014-06-03T00:14:36.890457</td><td>556811.0101492</td><td>0</td></tr>\n",
       "<tr><td>ct4m20140602t234146</td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_234707_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>520495</td><td></td><td></td><td>0</td><td>0</td><td>0</td><td>2</td><td>[2160 4146]</td><td></td><td></td><td>[0.27]</td><td></td><td>ct4m20140602t234146</td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>r</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_234707_ori.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_234707_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79499999999999</td><td>-39.4238</td><td>--</td><td></td><td></td><td>--</td><td>5675.0</td><td>7155.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.01</td><td>2013B-0440</td><td>0</td><td>image</td><td>0</td><td>0</td><td></td><td>267</td><td></td><td>RAW</td><td>2014-06-02T23:41:46.494291</td><td>556810.98734368</td><td>0</td></tr>\n",
       "<tr><td>ct4m20140603t003239</td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140603_003905_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>353385</td><td></td><td></td><td>0</td><td>0</td><td>0</td><td>2</td><td>[2160 4146]</td><td></td><td></td><td>[0.27]</td><td></td><td>ct4m20140603t003239</td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>u</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140603_003905_ori.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140603_003905_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79499999999999</td><td>-39.4238</td><td>--</td><td></td><td></td><td>--</td><td>1000.0</td><td>1000.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.03</td><td>2013B-0440</td><td>0</td><td>image</td><td>0</td><td>0</td><td></td><td>333</td><td></td><td>RAW</td><td>2014-06-03T00:32:39.443724</td><td>556811.02267875</td><td>0</td></tr>\n",
       "<tr><td>ct4m20140602t231048</td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>307850</td><td></td><td></td><td>0</td><td>0</td><td>0</td><td>2</td><td>[2160 4146]</td><td></td><td></td><td>[0.27]</td><td></td><td>ct4m20140602t231048</td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>u</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_231239_ori.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_ori.fits.fz&amp;extn=37&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79499999999999</td><td>-39.423699999999997</td><td>--</td><td></td><td></td><td>--</td><td>1000.0</td><td>1000.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>0</td><td>image</td><td>0</td><td>0</td><td></td><td>60</td><td></td><td>RAW</td><td>2014-06-02T23:10:48.733417</td><td>556810.96584182</td><td>0</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_osd_i_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>1670</td><td></td><td></td><td>2</td><td>0</td><td>0</td><td>2</td><td>[10943 9366]</td><td></td><td></td><td>[0.27]</td><td></td><td></td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>i</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_230944_osd_i_v1.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_osd_i_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.798</td><td>-39.335999999999999</td><td>--</td><td></td><td></td><td>--</td><td>7100.0</td><td>8570.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>29.8736</td><td>dqmask</td><td>0</td><td>3.79253</td><td></td><td>180</td><td></td><td>Stacked</td><td>2014-06-02T23:07:52.956307</td><td>556810.96380736</td><td>0.0452475</td></tr>\n",
       "<tr><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_ose_i_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>5959</td><td></td><td></td><td>2</td><td>0</td><td>0</td><td>2</td><td>[10943 9366]</td><td></td><td></td><td>[0.27]</td><td></td><td></td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>i</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_230944_ose_i_v1.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_ose_i_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.798</td><td>-39.335999999999999</td><td>--</td><td></td><td></td><td>--</td><td>7100.0</td><td>8570.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>29.8736</td><td>expmap</td><td>0</td><td>3.79253</td><td></td><td>180</td><td></td><td>Stacked</td><td>2014-06-02T23:07:52.956307</td><td>556810.96380736</td><td>0.0452475</td></tr>\n",
       "<tr><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_osj_i_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>385956</td><td></td><td></td><td>2</td><td>0</td><td>0</td><td>2</td><td>[10943 9366]</td><td></td><td></td><td>[0.27]</td><td></td><td></td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>i</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_230944_osj_i_v1.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_osj_i_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.798</td><td>-39.335999999999999</td><td>--</td><td></td><td></td><td>--</td><td>7100.0</td><td>8570.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>29.8736</td><td>image1</td><td>0</td><td>3.79253</td><td></td><td>180</td><td></td><td>Stacked</td><td>2014-06-02T23:07:52.956307</td><td>556810.96380736</td><td>0.0452475</td></tr>\n",
       "<tr><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_osi_i_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>385779</td><td></td><td></td><td>2</td><td>0</td><td>0</td><td>2</td><td>[10943 9366]</td><td></td><td></td><td>[0.27]</td><td></td><td></td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>i</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_230944_osi_i_v1.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_osi_i_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.798</td><td>-39.335999999999999</td><td>--</td><td></td><td></td><td>--</td><td>7100.0</td><td>8570.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>29.8736</td><td>image</td><td>0</td><td>3.79253</td><td></td><td>180</td><td></td><td>Stacked</td><td>2014-06-02T23:07:52.956307</td><td>556810.96380736</td><td>0.0452475</td></tr>\n",
       "<tr><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_osw_i_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>208611</td><td></td><td></td><td>2</td><td>0</td><td>0</td><td>2</td><td>[10943 9366]</td><td></td><td></td><td>[0.27]</td><td></td><td></td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>i</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_230944_osw_i_v1.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_230944_osw_i_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.798</td><td>-39.335999999999999</td><td>--</td><td></td><td></td><td>--</td><td>7100.0</td><td>8570.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>29.8736</td><td>wtmap</td><td>0</td><td>3.79253</td><td></td><td>180</td><td></td><td>Stacked</td><td>2014-06-02T23:07:52.956307</td><td>556810.96380736</td><td>0.0452475</td></tr>\n",
       "<tr><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_osj_u_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>382058</td><td></td><td></td><td>2</td><td>0</td><td>0</td><td>2</td><td>[10941 9370]</td><td></td><td></td><td>[0.27]</td><td></td><td></td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>u</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_231239_osj_u_v1.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_osj_u_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79900000000001</td><td>-39.335900000000002</td><td>--</td><td></td><td></td><td>--</td><td>1000.0</td><td>1000.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>24.695</td><td>image1</td><td>0</td><td>5.34066</td><td></td><td>180</td><td></td><td>Stacked</td><td>2014-06-02T23:10:48.733417</td><td>556810.96584182</td><td>0.105443</td></tr>\n",
       "<tr><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_osi_u_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>382019</td><td></td><td></td><td>2</td><td>0</td><td>0</td><td>2</td><td>[10941 9370]</td><td></td><td></td><td>[0.27]</td><td></td><td></td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>u</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_231239_osi_u_v1.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_osi_u_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79900000000001</td><td>-39.335900000000002</td><td>--</td><td></td><td></td><td>--</td><td>1000.0</td><td>1000.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>24.695</td><td>image</td><td>0</td><td>5.34066</td><td></td><td>180</td><td></td><td>Stacked</td><td>2014-06-02T23:10:48.733417</td><td>556810.96584182</td><td>0.105443</td></tr>\n",
       "<tr><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_osw_u_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>203104</td><td></td><td></td><td>2</td><td>0</td><td>0</td><td>2</td><td>[10941 9370]</td><td></td><td></td><td>[0.27]</td><td></td><td></td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>u</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_231239_osw_u_v1.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_osw_u_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79900000000001</td><td>-39.335900000000002</td><td>--</td><td></td><td></td><td>--</td><td>1000.0</td><td>1000.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>24.695</td><td>wtmap</td><td>0</td><td>5.34066</td><td></td><td>180</td><td></td><td>Stacked</td><td>2014-06-02T23:10:48.733417</td><td>556810.96584182</td><td>0.105443</td></tr>\n",
       "<tr><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_osd_u_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>1234</td><td></td><td></td><td>2</td><td>0</td><td>0</td><td>2</td><td>[10941 9370]</td><td></td><td></td><td>[0.27]</td><td></td><td></td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>u</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_231239_osd_u_v1.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_osd_u_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79900000000001</td><td>-39.335900000000002</td><td>--</td><td></td><td></td><td>--</td><td>1000.0</td><td>1000.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>24.695</td><td>dqmask</td><td>0</td><td>5.34066</td><td></td><td>180</td><td></td><td>Stacked</td><td>2014-06-02T23:10:48.733417</td><td>556810.96584182</td><td>0.105443</td></tr>\n",
       "<tr><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_ose_u_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085</td><td>image/fits</td><td>5450</td><td></td><td></td><td>2</td><td>0</td><td>0</td><td>2</td><td>[10941 9370]</td><td></td><td></td><td>[0.27]</td><td></td><td></td><td></td><td>2013B-0440</td><td>archival</td><td></td><td></td><td>DECam</td><td>u</td><td></td><td></td><td>ivo://noao/vo#ivoa.siav1:ivo://datalab.noao/smash_dr1/c4d_140602_231239_ose_u_v1.fits.fz</td><td></td><td>http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_231239_ose_u_v1.fits.fz&amp;extn=5&amp;POS=175.767334884,-39.3914092178&amp;SIZE=0.0109985558489,0.0085&amp;preview=true</td><td></td><td></td><td>175.79900000000001</td><td>-39.335900000000002</td><td>--</td><td></td><td></td><td>--</td><td>1000.0</td><td>1000.0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td></td><td></td><td></td><td>Field104</td><td>1.02</td><td>2013B-0440</td><td>24.695</td><td>expmap</td><td>0</td><td>5.34066</td><td></td><td>180</td><td></td><td>Stacked</td><td>2014-06-02T23:10:48.733417</td><td>556810.96584182</td><td>0.105443</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table masked=True length=112>\n",
       "      assoc_id      ...  elliptic\n",
       "                    ...          \n",
       "       object       ...   object \n",
       "------------------- ... ---------\n",
       "ct4m20140602t230356 ...         0\n",
       "ct4m20140602t230455 ...         0\n",
       "ct4m20140602t230920 ...         0\n",
       "ct4m20140602t230752 ...         0\n",
       "ct4m20140602t235630 ...         0\n",
       "ct4m20140603t001436 ...         0\n",
       "ct4m20140602t234146 ...         0\n",
       "ct4m20140603t003239 ...         0\n",
       "ct4m20140602t231048 ...         0\n",
       "                ... ...       ...\n",
       "                    ... 0.0452475\n",
       "                    ... 0.0452475\n",
       "                    ... 0.0452475\n",
       "                    ... 0.0452475\n",
       "                    ... 0.0452475\n",
       "                    ...  0.105443\n",
       "                    ...  0.105443\n",
       "                    ...  0.105443\n",
       "                    ...  0.105443\n",
       "                    ...  0.105443"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgTable = images.votable.to_table()\n",
    "imgTable"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Narrowing down the image list\n",
    "\n",
    "We narrow down the list by selecting only processed images with exposure times longer than 60 seconds, ignoring secondary data products like data quality masks, and make different tables for each of the r, i, and z filters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      assoc_id      ... elliptic\n",
      "                    ...         \n",
      "------------------- ... --------\n",
      "ct4m20140603t001436 ...        0\n",
      "ct4m20140603t002037 ...        0\n",
      "ct4m20140603t002638 ...        0\n",
      "ct4m20140602t230920 ...        0\n",
      "      assoc_id      ... elliptic\n",
      "                    ...         \n",
      "------------------- ... --------\n",
      "ct4m20140602t235630 ...        0\n",
      "ct4m20140603t000834 ...        0\n",
      "ct4m20140603t000231 ...        0\n",
      "ct4m20140602t230752 ...        0\n",
      "      assoc_id      ... elliptic\n",
      "                    ...         \n",
      "------------------- ... --------\n",
      "ct4m20140602t234641 ...        0\n",
      "ct4m20140602t235136 ...        0\n",
      "ct4m20140602t234146 ...        0\n",
      "ct4m20140602t230624 ...        0\n",
      "ct4m20140602t230356 ...        0\n"
     ]
    }
   ],
   "source": [
    "rTable=imgTable[(imgTable['proctype']=='InstCal') & (imgTable['obs_bandpass']==\"r\") & (imgTable['prodtype']=='image') & (imgTable['exptime']>60)]\n",
    "iTable=imgTable[(imgTable['proctype']=='InstCal') & (imgTable['obs_bandpass']==\"i\") & (imgTable['prodtype']=='image') & (imgTable['exptime']>60)]\n",
    "zTable=imgTable[(imgTable['proctype']=='InstCal') & (imgTable['obs_bandpass']==\"z\") & (imgTable['prodtype']=='image') & (imgTable['exptime']>60)]\n",
    "zTable.pprint()\n",
    "iTable.pprint()\n",
    "rTable.pprint()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting the URLs of the images\n",
    "\n",
    "Now we pick off the URLs of the r, i, and z cutouts, and take only the first one from each potential list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r: http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140602_235202_ooi_r_v1.fits.fz&extn=34&POS=175.767334884,-39.3914092178&SIZE=0.0109985558489,0.0085&preview=true\n",
      "i: http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140603_000254_ooi_i_v1.fits.fz&extn=34&POS=175.767334884,-39.3914092178&SIZE=0.0109985558489,0.0085&preview=true\n",
      "z: http://dldb1.sdm.noao.edu/cutout?fileRef=c4d_140603_002102_ooi_z_v2.fits.fz&extn=34&POS=175.767334884,-39.3914092178&SIZE=0.0109985558489,0.0085&preview=true\n"
     ]
    }
   ],
   "source": [
    "rurl=((rTable['preview']).data).data[0]\n",
    "iurl=((iTable['preview']).data).data[0]\n",
    "zurl=((zTable['preview']).data).data[0]\n",
    "print 'r:',rurl\n",
    "print 'i:',iurl\n",
    "print 'z:',zurl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Retrieving the image cutouts\n",
    "\n",
    "Now we retrieve the cutouts.  This could be done through parallel threads to speed things up, but here we keep it simple and do it sequentially."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 33.9 ms, sys: 25.5 ms, total: 59.4 ms\n",
      "Wall time: 6.56 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "rimg = plt.imread(astropy.utils.data.download_file(rurl,cache=True,show_progress=False,timeout=120))\n",
    "iimg = plt.imread(astropy.utils.data.download_file(iurl,cache=True,show_progress=False,timeout=120))\n",
    "zimg = plt.imread(astropy.utils.data.download_file(zurl,cache=True,show_progress=False,timeout=120))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Displaying the cutouts\n",
    "\n",
    "Now let's show the cutouts.  The object in question is indeed invisible in the r-band image, but is visible in both i and z, and appears point-like."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7feb08210cd0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAggAAACpCAYAAABOI8UBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzsvXl8ZNlZ3/09te/7qqW0tNTd6nW6p2fzjD023jD+YMAE\nQ1gMvMALfExeAiFx8pIASUhIAiFAwCF5k9gh2AnGhB3G4GWMl3HP9HRP71K31pZKpdqk2veq+/5x\n6xyrNVIvmhnGM1O/z0cfdd86de7Vvc895znP83t+R2iaxgADDDDAAAMMMMB2GF7tCxhggAEGGGCA\nAb7+MHAQBhhggAEGGGCAF2HgIAwwwAADDDDAAC/CwEEYYIABBhhggAFehIGDMMAAAwwwwAADvAgD\nB2GAAQYYYIABBngRBg7CAAMMMMAAAwzwIgwchAEGGGCAAQYY4EUYOAgDDDDAAAMMMMCLMHAQBhjg\nbxFCiB8QQvSEEIlX+1oGGGCAAe6E162DIIT4WSHEHwshNvoD8s/doe2QEOKTQogtIURRCPFHQoiJ\nu/Q/KYRo9Ps+fY/X1Nvj5x/taBcTQvwbIcTnhBClfpu37NKfXQjxISHEp4UQ6/2254UQPyaEeNGz\nvc978l1CiOeFEHUhREYI8V+FEMFd2jmFEL8mhFjt349rQogfu5f78QaF1v+5I+7VBra1f5MQ4ktC\niKoQIiWE+HUhhPMu5/iefr+le7lwIcSTe9hvVwjx8I62DwkhPiKEOCeEaAkhunv0OSKE+HkhxFkh\nxKYQIiuE+LwQ4u0v5Z4IIUz9fhf6drnQt3/jLm0PCCE+1T9/VQjxRSHEW+/lngxwb+iPE/9cCPGX\nQoh8/9l98A7tDwshnhJClPvtf0cIEbrLOZ7YZo+Be7imsTvY8wd2tD0ohPgPQogv98fEXZ18IURA\nCPEPhRBf6I+bW0KIZ3b2t8978hP98bUhhFgTQvx7IYRjl3YRIcRHhRBpIUStP47/nbvdj12hadrr\n8gfoAUngL4Au8HN7tHMCN4AU8A+AnwRW+j/+O/T/J0Cp3/fp+7imp4Dv3vEzs6Pdk/1+Z4Ev9f/9\nll36O9r/7NP9a/8R4FP983z0JdyTH++3/TTwY8AvAhXgAmDZ1s4AfBmoA78M/Cjwf/rf/cevtg18\nPf4AYvs9vEO7e7KBftsHgBpwDvi/gX/RfyZ/fof+ncBa34ZL93jtT/af7a/uYsOBHW1/HmgAzwLX\nge4efX6ob1u/27e7vwc81z/P97+Ee/J7QAf4z/178t/7ff72jnYjQBZYBz7cP/95oAU88Wrby+vl\nBxjr3/8l4LP9Z/fBPdoO95/Jjb59/GMg338upj2+I/rjkxyTA/dxTb+7iz2P7mj7/UAbuAg83z9H\nYpc+39u3+//Tt6UfBz7TP8/Pv4R78m/7bf93355/rW+jf7mjnRu4CRSAX+if//P9737XfT+3V9tw\nXoLBOe7yeaL/O9i/OXtNhv+IHZM8cKhvDL+4x3fejT4A//Od373LNfWA37iHdk7A1//3t+81EPb/\ntpldjv+3/ncm7/eeAGZgE/jcLobfAz607dh3sPtA/vtAFQi92nbyWv25Vxvof/4X6JO9c9uxH+p/\n5x17fOffANeA/8n9Owjvv4e2YcDa//d/ZG8HYYYXOxeW/rWt7OeeAGfYfUD+ZXSn4di2Y78FNIGp\nbcfs6AuE515tO3i9/PTHlUj/3w/2n89ek+FH0J3G4W3H3t7/zg/v8Z0fAzLozuv9Ogg/fQ9tffL9\nQl+M7eUgjLHDuegf/wy6E2+/33sCxNCdgY/uOP6h/nW8d9uxf9g/9uS2YwI4i7443NXB2uvnNZFi\nEEL8Qj/8MiOE+IQQYhP44p2+o2narXvs/tvRB4Lz2747h+7R7RYWMqF7b78GLN7r37CjD5sQwrrX\n55qmVTVNK9ytH03T8pqmXd/loz/s/57Z0f5e7skx9Jfhkzu+++foL+13bTv8BHq4/Pd29PG/0QfZ\nb7mH872hIO6Rg3CvNiCEcAPvAP6npmnVbR/9DrqTtpsNTwN/H/hp9AnzviGEcO0WrpfQNC2raVrz\nbv1omnZd07TNHcda6E7PyPY0yb3eE+DN7G2XBuA7tx17Arigadr8tvPU0SOEp4UQB+7hfG8I3CEk\n3xNC9O70XU3T2pqmZe7xVO8H/kzTtOS2738WPaKwmz37gX8J/DOgeM9/0O19OIQQ5r0+1zStsOP9\n2qvdiqZpq7t89EeAFZjc1vZe78ljgJHd7Vnw4jE5q2naF7adR0Mfz2PoTv494zXhIPC1nO3vAzbg\nnwD/30vtVAghgBPoodmdeBY4IF6cx/0p9An0X+3ztD+APnDXhRBXhRB/d5/93Anx/u/cPr4rHZf6\nLp/VgVM72nbRvdvtqPV/P7iP87/ecU8chPvAccCEHvb82kk0rQ28wO3PS+LXgM9qmvbUPs/5UfRQ\nbqPPB3glnnMc3Y5qd2u4C/ay4d3s0rpLu73avtGRBb53x88Pok/K6ZfjBEKIISDC3mPybvb8i+gp\n4v+yz9P+PPripyGEeFYI8c599nMnvBJj8v3as+A+7dl0P42/DnBB07Tvexn7C6Df0NQun8ljQ+g5\nHYQQMeCfooekKrp/cV/4MroXuNzv90PAx4UQHk3T/vN9X/0u6HvBfx89uvHcPrq4iT6BPQ78j239\nHkIPG2tCCL+maVvAHLpn+yjwlW19SOLY8D7OP8D9IY7+vPay4Se2HxBCvBc94nBiH+dqoXNc/gJ9\noDsC/AzwN0KIN2madnEffb4IQogp4NuA3+uvfu4Xc+iD4ePoqQKJ3exyDnhCCOHcsUJ88y5t39DQ\nNK0GfGL7MSHEb6Gnfl6uaKGcSPey54AQwtx3gBFCnEDPyX+jpmnafY7Jkmf1h+jh90n0qNpfCiG+\nWdO0v9zn33Ab+hGOHwL+RtO0/ThS2+35C9uO72XPbxdCjO6IZLwFfZy4L3t+LTkIGjrh6OWEvf97\nt1BoY0cb0IkiC5qm/bf9nEzTtDdv/78Q4r+jE2/+tRDiY/cSkr0H/BZwGPgmTdPuGPbb4xrzQohP\nAt8vhJhFf3lGgN9AnyDM6PdkC32w+Dngo0KID6E7F+9GJ8Zo3H7vBnhlcDcbVs+g7zz+KvCf+mm0\n+4Kmac8Az2w79GdCiD8ALgG/BHzT/fa5E0IIO3qksIYeKdwP/gLdMfgVIUQdPbryKPpKs83tdvmf\ngG8GPimE+Fn06N6H+NpKa2DDe6DPuP9x4Kc0Tfubl6nbex2T2/1//wY6Gfez93ui/gT6nu3HhBC/\ni85/+ffAS3YQ+lHqTwBedNLifUPTtAtCiLPAh4UQ6+ikwyPoXI2d9vxf0fkYvy+E+Cn0yM53At/a\n//y+7Pm1kmKQWHqZ+5OhmN34ALbtbYQQjwLfg746f1mgaVoH+E30lMVLDmUKIf4h8MPAP9U07dMv\noasfRR9kfxlYAJ5GnwT+rP95BaDvDX8zOqns0+jP598CP4Hu8VZewjUMcG+4mw1vDzf+NDpB9Rde\nrpNrmrYA/DHwNrGPkNp2CL009/fQHdxv1zRtY5/X1ER3VvLoEY9l4GPopOItttllP83yE+gRg+fR\nV2DvAf5fBja8J4QQD6A7Vx/XNO3XX8au72dM/k50x+8fvFwn70dGPwoc6qc7Xip+E3gX8EOapl15\nCf28H72C4r+hj7N/jP6uXOB2e74M/F30aMiXgHl0+/5J9mHPr6UIAuyeW3kp2ET3VOO7fCaPrfd/\n/zt0YuSKEGKsfyzc/z0khMjuQU65G+R37lq3eycIIX4AnZn+EU3Tfuml9KVpWgn4NiHECDCOziZf\nFUJ8GZ0AU9rW9ktCiEn0XLgT3YhlGOvGS7mOAe4JKfQXfy8bXgcQQniAn0WPMHmFEN7+91z6x2IM\nqGmalt3HNayiO4lOXtqE+l/RJ/bv3k6y2g/65N3jQogZwI++Kmyg8y+e3tH2I0KIj6KnXVro3I0f\nRo+CDWx4B4QQPuAP0MtNf+Rl7l6mFvay502ZXkAfk38f6Gwbk/393wkhhFXTtN1SFXfD9jF5/U4N\n7wQhxM+jr+Y/rGnaJ+7W/k7o/x1v6ZNmY8BNTdMyQogkO2xU07T/I4T4E+Akegr4PPC2/sf3Zc+v\nNQfhZUU/Z3UZvSxqJx4BFrflJUeBBC+OYmjojOcC+5vkJUt6PwMzAEKIb0EnbX5K07Sf2G8/O6Fp\n2hp6+ZwcFB5EfyF3ttPQIwzyet6Jfl/++uW6lgH2xBX0SoQz6KtlQKUTHuBrzGc/ujPwj9Dr/Xdi\nCZ1p/f59XMMBoKFp2r6dAyHEL6PXmv+kpmmfvFv7e8X2Kh8hxDehR01fZJf9yoWz29q+E31B8uWX\n61peD9gWMvcAb9M0rXGXr9wXNE1bF0Jk2X1MfhjdeZMYRdcs+J5d2p7vt70nEbsdeDnG5A+hkx9/\nVdO0X9lvPzvRj9gt9M9xBN1p+u+7tOuwjbi8bUz+zP2c7w3tIPTxKeCXhBCnZaljn5D3DegeqsSP\nADtVq96OHr75afTQJP3v29GdiZymafn+sZCmabcxWPslan8fnfB1Gwv9XiF0Jbn/hb4q+t799HGP\n+CV0b/Q/3OV6wuiT0MX95AUHuD9omlYSQnwG+F4hxL/c5tB+EH1FLyfbDF/LQ27HT6KHab8LUCF9\noatmhoBb/clzLxs+iZ5m+vP9/g391Ng/QNcd+c399nOXc9jRS+HW0cvD7tT2Tegkyd/SNK38SlzP\naxi/ALwTnRR4r6Xk94s/AD4ohBiWpY5CV9Y8iM4NkNjNnv8ueink96ETD+l/34M+maZkBHQPex5G\nr8y4uE9CoUx9/Dp66fHP7KePeziHQJ+fqtyFm9cva/5R4E+3l/PeC163DoIQ4nvRRStkmeKTfRIS\nwO9sSwd8BH3y/wshxK+gr8Z+Cj3U9auyP03TXuR59dmpAp2den7bRw+jE0l+AV3VDuBDQohvBf4U\nuIVexfCD6F7w9/Y9vu19/1N0j+9o/xwfFEK8uX8t/6rfJoEeveihK3d9YEca+FI/J3Vf90QI8WF0\nPYSz/fvxbejM95/d8XcihHganbg2j/4C/ki//5dMWHuj415soI+fRV/p/o0Q4r+g29RPA5/WNO2v\n++1lbf/Oc3wb8JCmaX+646O/h05AfSsgCWi/1yf9fQXd4TiK/rwr7CAU9m1TVhyd6R+Ttraiadrv\nbjv/v0UPfc4JIXauBv9qe9rjXu+JEOL30J2Ba+ir3f8LmEAn71a3tUugO1F/gu4gHUMfTF9Av68D\n9CGEOIZexfUFILbzWWma9vG7fP9D6HwrmYJ8nxBitP/v39jmjP1r4O8ATwshfh1dHfBn0NOXH9t2\nvt3sWZZBPrVDX+Pb0LkFP4CuEQLw7/oh+8+i28oEekWEA91x3t6vB/h/+FqFlwD+nhCiABQ0Tfut\nfruH+v3ngM/vYs9f0TRtaVu/93RPhBC/hs7BeAGdKP496O/VB/uR3u3XehU90nsLnYvwY/3r+fGd\n9+uu0L4OVLbu9oMeqrkndaxt3/l8/zu7/bxlR9sh9FDsFnpN7x+xQ4Vwj3N8P7soKfI1Sdh/tu3Y\nO9BllpPoudA8OhHwyT367u1x7Z1dzrPXz8/t556gT+7PoKdNyuiTz67qecCvoFcv1NAH2N8Bxl9t\nm/l6/dlmMy9SYduPDWxr+yZ0jky1/xx+nW3Kinc4x0eB4i7H5Tu33S5+om8XWXTuzhr6gP2id4Wv\nqS7udv2f2+U89/qu3tM9QZ9QrvbvRw7dgT6+y3X6+p8l0VMK8+gaJ3e9d2+0n7uNN/fw/aU7fD+x\no+0MehVBGX2s/B9A+B7Osetcse29++C2Y9+JPiZu9O05jT6xPrBLv1J1cbdrX9zlPHv9fHA/96Tf\n73l0/ZEC8Fc7341tbT+OTsyto/MpfpN9qtqKfocDDDDAAAMMMMAACq9qmaPQdyJcEvruWF/th2cG\nGGCAAQb4W8ZgPB5gJ141B6FP5Pj36CGhU+j5pU+Lu2zpOcAAX28YDKwDvNYxGI8H2A2vWopBCPFV\n4KymaT/Z/79Az5f8hqZp/+6OXx5ggK8T9AfW/4FObnoWneD6HcBBbQdDeoABvl4xGI8H2A2vSgSh\nX6P9IDp7FFC19J9B37lqgAFeK/gp4D9rmvY7mqbNojOGa+is+QEG+LrHYDweYC+8WimGEHpN/c46\n0zS6StQAA3zdYzCwDvA6wWA8HmBXvCZ0EPqiLe9GL914WZW7BnjFYEOXaf601heLeh3iTgProZ2N\nB3b8msQbwY7vCwM7fk1iX3b8ajkIOfQ6z+iO41G2qbltw7vRazsHeO3he9ixRewbGAM7fu3i9WzH\ng/H4jYP7suNXxUHQNK0thHgeXar4T0CRYt6Ovn3nTiwDRKNRfvAHf5BMJkO73abZbGI0Gmk0GlQq\nFTRNo9vtkkgkSKfTdLtdJicnMZlM5PN5Go0GHo+Hp556iieeeAKTyYTVaqVYLFKpVBgfH6fX62Ew\nGNA0jVwux/DwMLVajY2NDSKRCJqmYbVaKZfLNBoNnnnmGY4cOUIkEsFgMNBqtXC5XFSrVVwuF+12\nG5vNxtWrV3nHO97BwsIC9XqdZlPfzdTtdmOxWPjiF7/IAw88gM1mIxaLUSqV6HQ6dLtdms0mzWaT\noaEhGo0GrVYLk8lEo6E778ViEavVitfrxe/384d/+Ie8973vxeVyce7cOU6fPs38/DztdptKpYLZ\nbObMmTNUKhWq1SqdTodGo0GhUMDhcNBsNgkGg5RKJWZnZzlx4gSRSIS5uTmGhobo9XqYzWaq1So+\nnw+LxUIymaTX62G1WgmHw6TTaf78z/9cPbvXKe53YF0GMJlM2O127HY7QgiEECQSCYLBIOFwmG63\ny9bWFtlslmAwiNFopFarkclkMJvNJBIJWq0Wzz77LN/4jd+IxWKhVqtRr9epVCo4HA46nQ6BQIBa\nrcbi4iImk/6qRyIR9Xm321XP8vz585w4cYJSqYTX6yUUCrGxsUG9XsfhcNDr9ZAqnS6XC4BUKqXs\nM5FIkEwmuXXrFo888ghra2sMDQ3hdrvp9Xo0Gg2EEITD+v5m7XYbh8NBu91mdnaWWCyGpmlUKhX1\nDp49e5bp6WmGhobI5XJ4PB7q9TqlUgm/308wGKRQKBAIBNja2sJut9NqtbDZbGiahs1mY3Fxkbm5\nOR5//HHS6TQej4ehoSFeeOEFRkdHcTqd1Go1TCYTi4uLJJNJut2uei+LxSKFQkE9u9cj9jsee71e\nvuVbvoVGo8HCwgLlchm3283k5CTtdhuDwUCz2WR1dZVoNEo8HsdkMpHNZnG73dhsNprNJk8//TRv\nf/vbKZVKCCHodDq02200TaNUKjE0NMTk5CQrKysUi0WGh4fJ5XIsLCwwOjqKyWTC4XBgtVr5q7/6\nK44cOYLFYsFisahxzWq1omkavV6PaDRKt9slmUxy+PBh7HY79XqdXC5HvV7HarViNpt57rnneN/7\n3sfGxgbdbhePx0Ov18NoNAKo64xEIhiNRlwuF+VymdnZWbrdLhaLhWq1ytLSEmfOnFHfc7lcJJNJ\njEYjDocDu93O1tYWhUIBi8VCJBLBbrcTCoW4ceOGek8qlQqrq6s89thjCCEol8tUq1Xa7TbdbheT\nyYTJZMJgMNDr9XA6ncTjcSqVCufOnePGjRvq2d0rXs0Uw68CH+sbpmR/O9gmpbkNDdAHVrPZzMzM\nDHNzc2iapgZbs9mMyWRiZGQEl8tFIBCg1+uRTCYZHx8nGAwyOzsL6A8okUiwsbGBz+fD6XRSr9dp\ntVpomkYikUAIgdFopFqtMj4+jtVqpVqtqgHd5/PRbrcxm82cOnWKaDRKPp+n0+lgtVrJ5XIYjUZl\n8IcPH6bdbhMIBPB6vfR6PeW4dLtdjEYjw8PDBAIBDAYD3W4Xs9lMt9ul0+lgMBgYHh5ma2sLr9dL\nOBzmxo0bbG1tkUgkqFarmM1mrFYrJpOJ0dFR6vU6Dz74II1Gg9HRUXw+H1euXMHlclGpVHC5XNRq\nNarVKsFgkGAwyNbWFp1Oh/HxcW7evKmMbnR0FL/fryajWq2mJpJarYbRaMRqteJwOCgWixw+fFg6\nCK/bEOQ+BtYGQCgU4tixYxw9epT5+XnS6TQnT55kc3OTUqmE2+3GbrczNjaGy+Uik8kQj8fVoGc0\nGlWbaDRKvV4nmUxy6NAh0uk06XQas9mMz+dT/47H46yvr5NKpYhEIszMzGCxWFhaWqJSqdBqtXA6\nnQwPD5PP59nc3CQQCFAqlQiHwzgcDrrdLqVSiUKhQDAYJBaL0ev1cLlcGI1GYrEYq6ur9Ho9pqam\n6HQ6VKtVHA4HrVYLu91Oo9Gg2+0yPDxMt9tlY2OD6elpXC4XhUKB6elpyuUyy8vLmEwmxsfHsdvt\nWK1WOp0OJ0+eZHFxkVAoxKc//WkeeughvF4vwWCQtbU1nE4nJpOJSkXfN2p4eJjZ2Vm8Xi9ut5tL\nly4RiUQ4ffq0cqLktcXjcWw2G+vr6+q6u90uf/zHf6ye3esY9z0eG41GMpkM0WiUY8eOUSgU6HQ6\nxONxyuUyFosFk8mExWJhfX2dcDiMxWIhHo/jdDrZ3NzEaDQqW93a2lKfr6ysYLfbGR0dJZ1O02g0\nCIfDxGIx8vk8RqOR9773vWxsbNDpdFhdXeXw4cNYLBYOHTpEsVikVCopp9Ln8xGNRpmbmyMQCBAO\nhymXyxSLRUKhEB6Ph0AgQL1ex2g00uv1OHfuHOVyGY/Hg8fjodvtUq/XMZvNeL1e1tbWePzxx9Xf\nIYTAbDYzMjJCqVTCZrMRj8dJpVJ4PB7y+TwTExOUSiWGh4exWq202208Hg8ul4vp6Wk2Nzfxer1s\nbm6ysrLCwYMHSSaT2Gw2Dhw4wPz8PMFgEKvVqpxbs9mMpmlsbW0BkEgkcDgc5PN56vU6xWIRj8dz\n27O7V7xqOgiavmPbz6DvVXABfavVd2t32G7WYrFQKpWo1WrY7XblIXm9XsbHx9VNaLVajI2N0e12\n8fl82Gw2LBYLx48fV6t7IQQGg4FqtYrRaKTb7QJgNpux2WzKG240Gsrz9Hg8+P1+RkZGiEajGI1G\nDAYDuVyOlZUVms0mpVIJn88HQL1ep91uc+jQIYQQyivudrtUq1WKxSKaphEMBjEYDBiNRuU8jI6O\nsry8rLxMgIWFBRYXF2k0GiwtLeFwOJiamsJgMJDP56lUKiwtLWEwGNS55ubmyOVyNBoNDAYDR44c\nYXNzk0qlov7udruN0+nE4/EQDAZxu91UKhVisRgGg4GhoSHy+Txms5larUYgEFD3sdlsUq/X2dra\nolKpqJVssVh8Ba3n6wq/CvyIEOKDQojDwG+z98AKoJ712toaoVCIgwcPYjQaMRqNRCIRzGYzCwsL\nLCwsYLfb1WBmNBpJJBKEQiElhfrss89y8+ZN2u22esY+n4+pqSm2trYYGRlhaGiII0eOMDExQTQa\nxefzkUqlWF/Xd7INBALKOZSDl8/nw2AwkMlkKJfL3Lhxg3K5jNVqxe/343K5sFqtlEol2u02RqNR\nXaPFYmFqakoNtI1GQ71XQgiKxSIbGxtYrVYAHA4Hi4uLFItFNWmPjo5is9mUIwRgtVqpVCp4vV6u\nXbvGwYMHiUQieL1etVhoNBq43W5CoRD1ep0jR46osaLdbnPy5Enq9Tpzc3NMTEwouy2Xy1QqFXK5\nHK1WC7PZrFZ0bwTsZzy2Wq0YDAampqYIhUI4nU5GRkbI5/UUt9FoZGlpiV6vx8mTJymVSjSbTWq1\nGleuXKHVaqkxst1uE4vFGB0dpVgs4nK5CIVCDA0NEY1GuX79OrlcjsXFRXw+H7VaTUVAZfS43dZ3\ngW61WmqMdjqdTE5OYjabKZfLmM1m9W6Ew2E6nY4aDwuFAqVSSUUbzGYzvV4Pn8/HyMgI8Xic6elp\nut0uDocDt9vNs88+S7vdplgsqmup1+sqQigXeNFolMnJSQB1rNPpMDw8rMbhzc1Ntra26Ha7RCIR\nXC6XcnQ6nQ5msxmDwUA2myWVStFsNimXyyoSePjwYcbHx3E6nRQKBcLhMCaTCZvNps59v3hVSYqa\npn0EfbOke0K322VtbY1Go4HD4SAQCJBMJm/Tjs7n80SjUVKpFDdu3MDpdGI0GllfX+fBBx9UIViH\nw6EGU5vNBsDW1ha9Xo9KpaKiAZ1OR31uMpkoFou0Wi08Hg+JREJFLgwGA263m2azST6fJxAIMD8/\nr47H43FcLhfNZpNGo6GcFkCFclutFi+88AK9Xo9YLKaiIYlEgueffx4hBCMjI1QqFZrNJpqmqRXT\nyMgItVqNsbExLl26pFIAMmTtdrsRQpDP5xFCYLVaWVtbw+/3YzKZ6HQ6uFwuNE1TL8SNGzdoNBp4\nvV4KhQKbm5s4HA5u3rxJt9tlaGgIm81Gp9NRRi7PWa1W93yOrydomvbJvpjMv0BPLbzAXQZWGa6U\nabLNzU31IstJzuVyIYRQUa3R0VEuX77M+vq6GhANBgMPPvggtVqNq1ev3uao2e12AoGAGmwuXLiA\n0+nEarWyvr6Ox+NhbGxMDWzNZlM5FvPz8yq8KVdbtVqNUqnEwYMHVYqr2+3S7Xax2+3q806no0LF\nMprVbDaxWCwqrSHTgvPz85hMJuXcOJ1OisUiRqORVCpFp9NhbW1NTfSgv6OBQEBFTqTTsrW1pWzV\n6XQq52dpaQkhBB6PB6vVSr1eV4sB+S72ej2VCmw0GspRq1QqXL9+fa/H+LrD/Y7HrVYLt9vN+vo6\nRqMRn8+nUgjtdltFfVwuFyaTCafTicPhoFwuq8lf2r7P52NjYwOPx0M2m1WpoI2NDTY3N7HZbFit\nVlqtFgsLC4TDYTY3NzGbzTidTvWudDodstksBw4cIBQKcfHiRWw2Gz6fDyEEjUaD69evq2uJRCK0\nWi2azSY2m41isUi5rO8ZJaMbAOl0mna7zYkTJ1hcXOTmzZsYDAY1l0hb1jSNWq1GJBIBUBE/m83G\n/Py8ipzJqLfdbmdubk45xoFAAKvVis1mU+e32+0q7SyEoFqtEovFiMfjasFpMBio1+sqTWcymcjl\ncgSDQRpVAPDXAAAgAElEQVSNBslkcs/neCe8qlLL94tms0mxWMThcBAMBjGZTCo/K71+6UkuLS2p\nSblUKpFIJFRet9lsqptntVrJZrMqj2U2m1XIyGQycezYMc6dO4fValVhrmKxyNraGplMBtBzUb1e\nj1KphMvlotfrqSiAnEAdDgepVIparUa73WZkZIROp0M6naZUKqlrlzwGacAyEtBqtZiYmFB5MCEE\nqVSKTCaDyWQiEAjgcDjQNE0NxHa7HbfbjcfjoVqt0mq1VM4ZUC+GdBJkakRGIyKRCEIIZXiapqkJ\nSobH5LXGYjHMZjPNZpNOp6M4Fm8EaJr2EU3TxjVNs2ua9pimaefu1F7mDG02G7lcTqVxZDjUbDYT\ni8WU7ch8uMz3O51OQqGQWq37/X4OHjyI2WwmEAiQSCTQNI3FxUVqtZp6JjLP6Xa7iUajyt62trao\n1WpEo1EqlQrnz5+n1+sxMTHBkSNHaDQa+Hw+RkdH6fV6tFotarUa6XRaRTpk9MxoNNJsNkmn0yqX\nKyNyRqMRTdPU5CuvLZVK4Xa7qVar5PN51tbW1OrN4/EobpB8z7a2tgiFQoRCIRwOhwqzyhXT1atX\nabVaKiQtI3DSruVKbGVlRU0atVqNRqOB1WpldHSUVqt1W5RjgN0ho1uSB2YwGBQvAMDn89Htdslm\ns4yNjSlugoyobm5uomka5XKZTqfDxsaGigTcunVLpbQajQaHDx/G7/cr56Jeryund2ZmhuHhYZWa\ny+VyzM/PqwinpmmkUimi0ShmsxkhBLFYTPECTCYTW1tb6l2UY6x0YNbX17FYLFy4cEGNrSMjI5jN\nZlqtFoFAQHEqHA6HcnytVitCCK5du6Ym80gkwujoqPqbg8EggIpaSB5Ou93m1q1b+Hw+lUKoVqsc\nO3aMarXKxsYGmqZhsVhoNpsqPVwsFonH44A+xssxYj94TTkI4+PjalAAlDHZbDYVdq1UKhSLRYLB\noFrhHD16FKPRyPj4OPF4nKmpKTVhypW4JNTUajVl8EajEbvdTq/XY3h4WIWGjUajWiWPjo7idruV\nN1mv10mlUioUGggEKBQKimAiPUA5CMo88pEjR7BarSq0JkNYRqNR5WNLpRJra2t0u11cLhdTU1Mq\nFCUJPeVyWb0skojjcDgQQpDJZPB4PIRCIeWtCiGwWCwEg0EymQzhcBifz6eiB6dPn2ZjY0MN7na7\nHY/Ho5ysXC5HsVgklUpRLpeZmpqi2Wzu22N9I0ASO61WqwpvapqGx+OhXC6rCV1Gr1KpFKlUinA4\njMFgUA5xPB5XqyaZMnO73UQiETVAx+NxSqUSwWBQkV3leyInTIPBoFbhFy9e5B3veAdGo5FSqcQL\nL7yg+pcr+nQ6jc/nw2g04vF4cDgchEIhTCYTwWAQi8WiVv71el1xV2S6QYZO6/W6cgwOHDhAJBJR\n4VuHw8GhQ4ew2+3MzMworkuj0aDZbOJ2u9XgaLFY1ABaKBSUEyJXVYlEgpWVFZaXlzEYDKyvr6uV\nnnSQXS4X9Xod0KMUW1tbitA5wO4YHh6m1Wrh8/lUuqBYLCqC3HYy7oEDBxgeHlY8mE6nw/r6Ok6n\nU5EK5eKmUqkwNzdHs9nEYDAQj8cRQrC2tqbC/zdv3lTclI2NDRqNBul0mmhU5wvLvgwGg3IiZOR5\na2uLubk5RkZGsNlsGAwG7HY7hUJB2bDVamV6elrxD4LBIMViEbfbTTgcplKpqEigdDiGhoYIhUJq\noSTHeslhSyQSrK+vE41GuXnzJsFgkNXVVcVbsFqtKsJWKBRUKl0uxsxmMwcOHKDT6RAKhfD7/Spl\nJ52ulZUVqtUqW1tbKhpTrVZxu937esavKQfhgQceIBqNkkwmKZfLihQi85SRSASPx4Pdbmd4eFit\nvra2tohGozQaDex2O9PT0/h8PjVYWiwWyuUyY2NjyqCnp6exWq2srKwQj8ex2+0kEgmuXr2qjM/t\ndjM6OorRaCQajeL1evH5fPh8PkKhkHJQJNtbhjjb7Ta5XI5IJMLExIRKAWQyGYxGI7du3VLe88LC\nAteuXaPRaFCv1zEYDPj9fsxmM6VSiVQqxaVLl1hfX8dutzM+Ps7hw4dVTrfValEoFNjY2FA51aGh\nIUWMMZvNWCwWhBDK6EwmE4lEgmKxyNDQED6fj2KxiNfrJRKJKMelXq+zualvuT41NYXZbMbhcOBy\nuchm94ywv+EhQ66ZTEYNWLlcjmQyicFguI33InkoN27cUBUATqcTm83G9PQ0gHIkZF52c3PztklT\n8kEOHTrE5OTkbZOjdPgOHDignNWtrS1VyePxeBge1reqF0Jw5MgRHA4H2WwWh8PByMiIqvQRQhCN\nRtUKqtVqqXC+dH5HRkZUGk8IgdPpVO+mjIgsLi5y69YtDh48iNvtplQqUalUFAcoHo+rVIHkXdjt\nduUsSJ6FjLyNjo4yPDzM9PQ0NpuNYDCoHGgZQZAhasnfaTabtNtt0umdEhcDSMRiMXV/PR4PnU6H\nfD5PtVolk8lgtVqVE1yv13nhhRfUGCwJ2pJX0+v1KJfLKn0rK3qkTUjuTblc5vr16/R6PRVZkiv+\nzc1NQqEQyWSSRqNBKBQikUiofh9//HHlDI6NjVEoFLh+/Tomk4l4PM7w8DD1el1FdY8cOcLo6CjZ\nbJaNjQ21gnc6nQSDQZX+SyaT1Ot1CoUCsViMWCyG2+3G6XRiMBgU8VamhGVEzuv18q53vYvHHnuM\ncrlMoVBQ1XbValWlWSRh3m638+53v5u1tTXa7TZCCGXjknPT6/WIRCKKfG6z2fB4PBgM+5vqX1MO\ngnwQXq9XMeclx6BardLtdtVELb1NyS6tVCpsbGwodrLNZqPX66ncq8/nY2FhQYW8stksnU6HWq2m\nQr/pdJrJyUlGR0fVhCtXfLIcbWVlRTG1l5aWiEajyoudnJykXC4TDAax2+0sLS2xsrKiHA5pUNLR\nWV1dJRgMIoTA6/WyuLioJhQ5GHe7XfL5PK1WS3nnkh0u2bmS5HX48GHMZvNtob1Go6GIn/l8Xg38\nq6urKhwooy3r6+vk83mazSbhcFg5aNVqFavVqlYI8noH2B0y1y5zrTKaI9n++Xwen8+n7OAtb3kL\nfr+fWq2mVuLtdptsNsuVK1dYWlri+vXrrK6uKk5DuVzmyJEjXL9+/TZbbzabRCIRFRLd2tqiXC5j\ns9lwOp2Mjo6qVRnozoyMfAkhWFxcZGVlRa305AB+8+ZNjh07xtTUlApvSkKj3O+lXq+Tz+cVvyca\njVIoFPB4PMzOzqoUn8VioV6vI4QgEAiwtrbGCy+8QDKZxGKxkMvl+OIXv0ij0WBtbY1yuaw4G3LF\nn8lkWFtbU857p9PBZDIxNzenynFlWlAIgclkwu/3U61WCQQCTExM4PV6BxGEO6Ddbqucv3Q4DQYD\nqVSKeDzO1tYW6XRakb1Br+CJRCLq+csVsxxnQ6EQ0WiUYDCoJlGn06kq0paWlnjzm9/M2NgYRqNR\npYzm5+ep1Wpqpe7z+XC5XPh8Po4eParKtmXIHVDpMpnWGxkZwWKxsLm5SbFYVCWSy8vLNJtN1tbW\nqNVqqiqhVCpx4cIFNjY2VD8yCuF2u1VKcGVlhVwux8TEBOFwmEuXLqkI3ebmJouLi2pxNzw8TKVS\nwWKxqMhMMpnkS1/6EuFwmLm5ObxeL/F4XJWoS5KuXOhJHhnohGiz2bxvR/c1oaQoIVcQy8vLAPj9\nfjKZDG63m1gshtfrVR6sJD05HA5lgJFIhHK5rEiBkpUfCoWw2WxqNSy9NUCthG02G61Wi8OHD1Or\n1RTJMBQK4XK5uHnzJn6/n4mJCdLpNMlkErfbrXJQsoZchmrj8Ti5XA6/38+tW7fU57ImW5b8SC/V\naDRy8OBB6vU6sVhMhWKHh4eJRqP0ej1qtZoKLclVorzu6elpisWi4m04nU7cbrdaSeVyObxeL16v\nl3a7TTgcZm1tjTNnzpBKpchms4o8E4vFEEIo5m2xWOTixYvEYjEVzpJ/zwAvhiTZSadP1on3ej38\nfj9ut5tCoaAGUqvVyoMPPsjVq1dZW1tjZmaGVqulVlsyDSa1BeRkF4/HVQRIrqokP2V0dFQx/2Xe\nU7Ku3/SmN3HlyhVKpRJ2u51KpaIcEoPBQCKRwOv14nK5VDj2s5/9LJFI5LZSX03TcLvdtNttVeLo\ndDpptVpMTU2xtram+BWBQEDVo0tm9/LyMn6/H4fDQTgcJhAIKM0SmYeWdtlqtfB6vapkU5JkJW9o\nfn5ehcMlM106DMViUVXyVKtV9c5LDYcBdocsg02lUhw8eBC/369KRiORCKVSiY2NDeLxOIVCAZ/P\np1Kz0hlbWlpSDp4sTy0WiwQCAcrlsirrlgsRs9mMy+ViYWFBpYocDgelUonp6WlCoZC6Bpl+DofD\nNJtN1tfXSafTtFotZmZm2Nzc5NixY7Tbbebn51XEbG1tDY/Hg9PpJJPJEIlEyOVyjIyMsLy8zPT0\ntIr0RaNRZevy70+lUgCqVL1arfLmN7+Z1dVVVldX8fv9tNttgsEg58+fp1Qq8eijjwKoyMADDzxA\ntVplfX2d4eFhms0my8vLircm+Q+SPyOjiDabjXw+Ty6XI5PJqGix5MvdL15TEQQ52S0uLiomdSAQ\nwOPxqMHP6/UqIqMUD7pw4QLXr19XpJBIJEIymSSTyVCtVhUxT3qqsn5bihN5vV48Hg8+n4/FxUWM\nRiNTU1NKnMLlcqkw6fT0NKurq0rX4PLly6oMZnZ2Fp/Pp4gtpVKJarWK1+tV+VYZXpPG2mg0VH5K\npgpWVlbY3Nzk6tWrbGxsqMk6EAgQj8cJBoM4nU5FDJqeniafzxMOh7Farao6Ynl5mXK5TLlcJpfL\nqbKhZDLJ1tYWTqeTS5cuUSwW8fl8SqOhXC6zubmpvNVwOKxKhoxGo/r7B9gdcgCTpL9Dhw4pDkkw\nGKTdbqty1MXFRZ555hkKhQJ2u12VKMqIgyyDdTgcnD59WoXFLRYLzz33HAaDQZGgJiYmVEg9mUxy\n7do1tXIymUzU63UmJyfxeDycOnWKsbExstmsigBIJ7pcLrO6usr6+jrPP/88lUqFRx55hI2NDRYW\nFtja2mJoaIhOp8PKygrtdpv19XWWlpZwOp2KMe71ehFCqPRJuVzG6/UyOTmp7GltbU1FB+v1umKk\nJxIJDh06pFIT4+PjSgAqHo8Tj8eJRqNkMhn+6I/+iF6vp/qSgmftdpujR48qsRy/38/x48eJRCKk\n02lWV1cJhQa7He+F2dlZLBaLela5XE6VQcuafJkykmV5zWZTse8lMTwWi3H8+HEOHjyI0+lU/JxK\npaIcTKPRyOjoKMeOHWN5eZlgMKicRyle1+l0SCaTWK1WJiYmeMc73sFb3vIWfD4fhUKBYrGIEAK3\n283nPvc5MpmMeu4LCwuUSiWi0ahaiSeTSYaHhxkZGVFEyuPHjxMMBhUva2ZmBrvdTi6nb9wqhFBE\nSYvFohav6XQao9FIIBDg8OHDDA0NKaKiLMMMhUKcOXOGiYkJRYKX1zM1NaU0RxKJhCrJ9Pv9RKNR\nleZxOByqVDcWixGNRpmfn+fAgQP7esavKQdBTqySGV0oFFhYWKBQKJDJZNRDCoVCWCwWYrEYa2tr\nPProo5w4cYKVlRWVRzpx4gRTU1Mq/yXJNVJQQ3qRgUCA1dVVPve5z6nw2cbGBuvr68q7rVQqSrlx\ncXERv9/P448/rsh/vV5PCdTIgXh9fZ1sNku5XFbCNFLxK5vN3qbFcOLECdbW1gCdGGQ2m/H7/Uq8\naWVlhVKppJTD2u02ly5dotvtEgwGSSaTOJ1OFV0xmUzMz89jNBq5du0azzzzjArnZbNZRkdHSSQS\n6uWU4WdZ8jUyMsL4+LhSrJOplmg0yszMDMePH983a/aNgLW1NW7dusXZs2c5evQoBw4cUHl2qXOx\nsLBAPp/n8uXLXL16lcXFRWw2G9/wDd/A1NSUWjmPjo4qh/Ls2bO0Wi2VmxVCkE6nVfmuFAHz+Xyq\nkqFcLpPJZBgdHVU14S6Xi6GhIaXmJnP8drsdh8PBqVOnSCQSZDIZpqam1Kre5XKxtLREtVpViozB\nYJBsNksoFOLRRx9lZWWFdDqtHJWxsTGGh4dVzrper3Pp0iV6vZ4i6zocDgqFAmtrazgcDi5fvozZ\nbCaTyTA+Ps5jjz3G/Py8IvDKXK7kFBw8eFCRfg8ePEi5XObAgQNUq1WuXr1KoVDAZrOp9KUUTTp8\n+PCgiuEOCIfDjIyMEIlEiEQiylZkbb7NZuPEiRMYDAai0Sirq6t4vV7W19eV8/vwww9TLpfJZrNc\nunSJa9eukcvlSKfTuFwuRV5NpVI4nU6effZZpX4row9SmTESieB0OtXY2G63SaVSzM/PK/2aRCKB\ny+VSXIALFy7wla98hVwup6JLkpAej8fZ3NzkwIEDjI6OcujQIVKpFCsrK2QyGa5fv654WpOTk2Sz\nWTWHFAoFJR4nU1gjIyNqXJydnWV9fZ3JyUksFgsnTpxQ81WxWFTRvAsXLlCr1XC5XORyOZxOJ1tb\nW6qqzefzsba2xvLysuJjSAdbkpGHhob2vWB7TTkIi4uLdLtdJiYmWFpawufz8cgjj6hw7faqhGq1\nyjPPPKPC41KOWNM0QqGQUroym80Eg0GGhoYIh8OMj4+rML6sk240GnzHd3wHfr9fhYdDoZDKtyYS\nCQAlRmGxWPjkJz/J+fPnMRqN3Lx5k5GRESUvOjw8TLFYJBwOMzQ0pMoGH3vsMcVWFUJw4sQJDhw4\nwOzsLDMzM4rgJQfiWCzG1NQU09PTxGIxJUNaLBY5c+YMmqbx9NNPK7LQoUOHyOfzvPDCC0qq02az\n8dBDDyn1SZkT7HQ6ZDIZ5TFfu3aNiYkJVeK5sLCgSjklEW1ra4unn35aSWEPsDs+8IEPKPvKZrNc\nu3ZN2aDH48HtdivJ6/e97324XC7lyH3qU5+i3W6rSJRcyafTaTY2Nkgmk0qspVwuEw6H+cxnPkO9\nXmd2dlY9cykFKysEstks3W6XmzdvAvq71mw2uX79OufOnSOZTHLw4EEefvhh5ubmWFlZwWAwcPXq\nVcrlMpcvX+YTn/gETz75pCJcSXuX0rFSjCgSiRAOh1UY1e12YzKZWFpaYmFhQdW2yxxup9PhySef\nVHYqicpf/epXsVqtXLlyhW63y9TUFKdOnVKps2KxyPr6uuIMTU9PqxXe+fPn1UqvWq1SKBTo9XrK\nwSgWi5w9e3bf7O83AmKxGMvLy6o8VLLp5bgpS04dDoeauCW/ZmlpiXA4zLPPPsvKygq9Xo9EIsED\nDzxAPB5X5YmyXPqJJ54gmUxy9OhRJcg0MTHBo48+ynve8x7lcEqe18rKCvPz89y6dYupqSlSqZTi\nqxgMBrVqP3ToEH6/n4ceeohSqaTI4F6vV/Gqzp49i8lkYnV1VTm4Pp+PJ598ErvdzoULF1hYWFDR\ngnq9TjgcVtUKsVgMq9XKuXPnMJlM/PVf/zVnzpxR5YfSkWm323i9XsUhczqdjI+PK/L7mTNnAJTk\n+tzcnCp7vHz5MtevX1dOtkxNOxwOPB4PrVZrX89YyPDhywUhxD8Bvg04DNSBrwAf1jTtxo52/wL4\nYcAHfBn4cU3T5vfo8zTw/Dvf+U6i0Sh+v5+lpSUsFgsGg4GxsTFVXihXzVLmM5PJKM+q2WwSCAQU\n+SSRSJBKpQgGg7hcLtLptJIKtlqtjI2NMTs7S7Va5W1vexsLCws0Gg1WV1eV8qDT6VShdZl7v3Ll\niqrXXV5e5q1vfSsXL17E6XTi9XqVuphUJJTMXpmbk2xXuWp0u91K4Ejm82T5mCx5kfwJmZ87fPiw\n2kfhy1/+MseOHVPhaSlnKjUZNjc3SaVS+Hw+xsfHlbH2ej3cbjfPP/888XhcSehmMhm1ghVCEIlE\n1L2S/I2lpSX+9E//FOBBTdPOv6xG9reAV9KO3/rWtxIKhZiYmFDEQlltI5+3JLlKie6LFy/S7XZ5\n+OGHqVQqHD58mOXlZer1urJnaZNut5tz585x8uRJCoUC6XRaOSSlUkk5mplMhomJCcVXCYVCXL9+\nXYVHZf5Tck+kjodM4wHq2oUQbGxsUCwWicViShHS4XCwsbGBxWJhdXUVj8dDNBrlypUrjI2NKfGY\nSqXC1NSUKukNBoPk83mVP5WStJubmxw9epQbN27wzd/8zfzBH/wBZ86cweFwsLS0RKPRULya1dVV\npVYXDAaVOFqhUFBRDSnitLGxoaIucm+SiYkJLl68yJe+9CUY2PH2tqeB57/7u78bQI0LFy5cUOkl\nSWCWBLpsNqtC7na7nWvXrvH2t7+dpaUlksmkihgEAgGy2awqhTWZTITDYcWBGR4eJhKJqLE4HA7j\ndDqVzLhMZTidThUF0zQNIQSXL1/G7/dTLBY5dOiQkoPu9Xo899xzOBwOfD4fw8PDWCwWbty4oSTQ\npZ3IiOzCwgJHjhzhK1/5Cm9729sAlHjS8PAwqVRKlSRLjpBU7e31eoyNjakomyT1Tk5OkkwmVRS6\nVqthMBjUex6JRFhZWWFmZkbp0UghPClU5XA41DxSKpWYn5/H5/Ph8Xj42Mc+Bvdpx6+Eg/AXwP8C\nzqGTIH8JOAbMaJpW77f5MPBh4IPom0f8InC83+ZFro40yPe85z1qQLNarWrgkLkoqVBYrVYJhUJq\nVTA1NcXly5eV4uHy8jIPPvigKo/pdDoqz9psNpVYhiS2vPOd7+Tpp59Walw2m42NjQ3sdrvKGUtd\ng9OnT5NKpdjc3OTBBx/kueeew+VyKXLflStXFMkvmUwSDodZX19XuTnpDMgyTLkZjd/vZ25ujkOH\nDinmrlT82trawmw2q1WTHOyvXLnCsWPHlICG0+lUwiXSqUmlUkrON5PJqNLHarXK0aNHWV5e5uLF\niwwNDSnNdKPRyObmJk6nk1wup0SUbt26hd/vJxKJsL6+/lp3EF4xO37/+9/P4uIio6OjSnFNqmzO\nzc0p503W73/1q1/lkUceUaFLqb1hNpu5evUqxWJRKVumUimGhobUYBkIBIhEImpVJPXyPR4PyWRS\naSnIsjO5gZRMHaysrBAMBolGo+qZV6tVLBYLlUpFVUJIfYJDhw4pPflut6v4FrKKIp/Pq/fhwoUL\nqnS5UCiQSqUYGxsDUGVhMrwsJckzmQyzs7O86U1votVqqZRaKBRSk5HcBwX0Qfu9730vly5dwmQy\nMTU1xdLSkionO3bsmKqhd7vdSplRpjADgQAf//jHYWDH2/s8DTz/wAMPcOLECZrNpqo+2b5XTC6X\nY2lpSZVGGwwGzp8/z9jYGA6HA7/fTy6XQwhBs9lkZGREVXVJDRmpPzA3N0c0GlWCRW63W6XTcrnc\nbXywbDarxMYsFgsrKyuqBDYYDPKFL3yBY8eOkc1mFdu/1Wqp1IhU6ZV74sgqIKk/Ignvt27dUhL0\n4XBYSf1LZVFZjSD5AHJBNj8/r+YAk8nEQw89pFIlch4DfVw/evQooVCIs2fPKhn0Wq2G2+0mnU4z\nNjbG9evXSSaTiqvm8/nURlJSfKpUKvHMM8/Afdrxy17FoGnaN23/vxDiB4AM8CDwpf7hnwT+paZp\nf9Zv80EgDXwr8Mm9+pa5LEngk6GemZkZVcKSyWTUKuDUqVM8//zzLCwsYLFYmJycJJfLqUFCljrZ\nbDYlTxmJRBRBT5bKgC7SJMlUUqRlZGSE1dVVpWhlNBoV2WVoaIjFxUUOHjzI5z//eaVIt76+js/n\nU/tBSAZ1MBgkEAhw69YtVRmRTqfVQCXLfXK5nMr1SWnjRCKh9oTQNI3x8XFmZ2dpNBqKISx1wpeW\nlggGg0pNzul0cuDAATRNU4JHIyMjXLhwQdXgnzp1imw2y/nz53nXu96lGMdS6EayiA8fPszCwoJS\nCHwt45W0406no3bTlKVRUgFN1k8HAgEl4/2BD3yAp556ioceekjJF5tMJrWaTqfT3Lx5UzGuJR8l\nFAphtVpZXFxkZmaGer2ulD5lqF0qu8myRelQAmpXPqmwKQdbSZ5Np9MMDQ2xvr7OqVOnVBoqEomw\nuLioSILtdlsRcqWccaFQUGFdqSYpORGA2glPpuS+/OUvEwqF1MrP5XIpB0hGX+TeKFLyVu6Md+3a\nNSYnJ9nY2FBy1sBtRF2/34/P51MOf98G9s3+/nrBK2nHMzMzKnxtt9sZGhqiWCwq3YOtrS1VcSMj\nn9/3fd/Hb//2b3Py5EmlDirLthcWFvB6vUq7Q2obyJLHxcVFVY0lbWBra0ulMLa2thTfSqp5yoim\njHaWy+XbnFwpoSztXPLEhBAMDw+rHW3lPkAHDhxQ0d1YLKYibD6fj6tXr9Jut8nn84yNjXHs2DFy\nuZyK1m1sbDA2NkY+n+f06dOYzWZyuRyf//znldDS9rlHVt+srq6qDfIajYYSApQqt3IDQLPZzOjo\nKIDiL8mN/Parg/C3UeboAzRgE0AIMQHEgM/KBpqmlYQQZ4HHuINByhWNrNM+dOiQ2thG5nMDgYCS\n+i2VSqTTaZX/koOBJPnl83nFSZCb1dRqNRwOB5ubm4rs8txzz6nBymAwsLi4iMvl4tKlS1gsFmw2\nm6phlyxZGZKSimw+n4/19XXGxsbUpN9oNEgkEgwPD6u8p1zV37x5k/HxcdbW1hQRUuZK4/E4+Xxe\nVWtIZ0GWkklOg3R4bt68SSgUwufz4ff7icVialOnUqnEpUuXVNVHIpFQDk4mk2FsbOw2/XtJcgyF\nQjz77LNqIJflTENDQ8qheZ3hZbPjpaUlSqWSYibLEkepWyGrBSQvYHl5Wcn/aprG5cuXqdVqKsrk\n8Xg4cuSIIunJVUMgEGBsbEwphErRGhnmdDqdSjX00KFDzM7O8vzzz3P48GHy+Ty3bt0iEAgAKOGj\naDRKs9lUeVCpCimE4OjRo2pzJyEEt27dUlyCbrfLgQMHaLfbyvGUm+nIa5bRvHQ6rchkUhDp+PHj\nismTcAQAACAASURBVJ8j011ylzrJO5Isevn+y11F5b4X4XCYa9euUSqVcDqdzMzMcOXKFcLhMHa7\nnZWVFQBlxyMjIzz11FOvlD29WnjZ7FjuyCijrlKYTWpjxGIxAEqlEvV6HY/Hw4ULF3jiiSduS43J\nklO5epdOZLlcVqXTgJLu9vv9XLt2TZUEplIpJZ08PDzM9evXWVhY4NSpU2or5na7Ta1WU7uiyhSA\n3JisVqupyhYpy5zNZonFYrhcLqUwK6tm5KJIYmRkRG0CJff7kTwCmVqT4kwPPfQQ2WxWlVnKPUyk\ns/TVr36VkydPqlJG0An6knv30EMPqT1GpCMmS31v3Lihyivdbrfio126dGlfxvKKkhSFXgz/a8CX\nNE271j8cQzfQncoN6f5ne0KWUck9sJPJJNlsVrFFZejK6/UqxTRZ1igJjmNjY+rGy4FjbW1NbWtb\nqVRYX19XK3gpSRuPx9WmNVI4qVarqcFP1ojLnbSkJ7hdcEOSeeTAGYvF1IslNyxxuVy4XC5lmFIR\nMpvNqnxaKpVSERNZQSGdGynxKVdWcntQl8uF1+ul2WyytLSkNraKx+P4/X5FhJG1x1KhToooVSoV\njh8/ruSAb9y4oTY6kZOcTPXIspvXC15uO56YmKDZbDI7O6tKVOUELAeVjY0NyuWyqts+evSo2htD\nrrbtdjtra2usr69TKpWU1LIs15J2td3GJEtfyrRK5UuZZpDpCemsSnKTFJeR+iFTU1NMTk4SCASU\nqJOsPZclYfl8Xg2Yy8vLXLt2jVqtpvQPnnnmGTXA3bp1S0kjy0Ff6onIDX/sdruafHK5HMPDwypa\nWCqVWF5eVuk2l8vFwYMH6fV6yuE3mUxMT08rtcXNzU0l8mW1WlXURlb7PPfcc68rRdCX247X19dx\nOBxqQ6Lt8sLS3mq1mloZLy8vK6Esuf/N1NSUivRITpWM4Ei5bClyJbeBzuVyHD16lE6nQ6FQoNls\nKpVXKZd95MgRZU+yGiaZTJLP53nggQdwOBwkEgkVHc3n86oqTCqJSkdTllAKIajVaqpcWKak3G63\nIi/KtMLy8rLSiJHlnFISWhJfx8fHlW6NfP+DwSAPP/ywKleUO/5u1/+R5ZmAuh8ygiPvf7vdxu12\nMzIygtPpVPflfvFKVzF8BDgCfNfL0dno6Kjas13WycrtOaUePNy+S9vJkye5deuWKo1MpVJKTSsU\nChEOh2n9/+y9WWzkZ3ru9/xJFlnFWlj7vnPfem91q0erI9mzObHHMBz7wkDgIAkQwwFyc3JxLsbH\nvggSIzkXOQGSq9jJsQ2MLzyeYGxDGssajaSWemN3c1+qWPu+slj7kovW85qckedklG5retIfMBiJ\n3c2myO///d/vfZ/n93S7SCaTqFarEmPLmTDTHjlXqlarYrUkpMhoNAq1sVqtwmKxwGq1iviQWeL8\nPMPhUPQRLBzK5TJyuZykzlGkxSwF3vrcbrccvsViUXzhjUYDwBOv+ubmJk5PTyXemrcuMsIHgwGc\nTiesVqvMnFl18jbApDamjuXzeQmjIt+bDzUDoXQ6nXRU+v3+0/iR/7ysp7qPW62WsCo4J+TNlwI6\nnU6HpaUlrK2tSUgNb1I6nU7ESNSpsENAkZjNZhMkMm1jhP6cnp6i1WpJS5XBZ8lkUpTVxWIRrVZL\nkg0ByM/Y5/NJoUJdAr3hPLg0Gg1CoZAcUGfT6ebn54WW99JLL0kaHwNnPB4PFhcXEQgEpHOSTqeR\nSqXQ6/WkVctCiIx9m80Gj8cjhFB2JR48eIBCoQCHwyHhYsxUIZSJnTfin3d2dkQE9wu0nuo+bjQa\n8Pl8CIVC0unR6/XQ6XTo9XrY2dlBo9FAo9FAKBTCxMQEPB6PIJN5wSPch99/igsZJ61SqUQnZjQa\n4Xa75YXLixAZGKS/8s8Oh0MJbSL4K5/Pw2QyIZvN4vDw8Jy9vFqtIhaLoVQqyZnIIDuVSoVWq4VE\nIiHd4fHxcZhMJiQSCbGi89nQ6XTyeZrNprAbeFEk4ZcESuo0zgaTUcvDbsHFixdFgxYIBOBwOETs\nzrEMaZX8PtFW/EXWMxsxKIryvwD4OoBXR6NR5swvZQEoeBKNe7ZqdeBJDvk/u/b397G/vy9Ji+12\nGwsLC5iZmRHhHNX1xBcDkArMbDaLbYaHtEqlgt1ul6qL8CVu1sePH+PGjRvY29vD/Py80AZpRWEg\nCatMvnAp3vL5fNIKY0FAbzdbq2ehITzseMB5PB5sbGxgdXVVaHlUebPNbDab5abHti9fNBaLRfgG\nFNj4fD4ZTbTbbUxOTmJnZ0ecF9zM8XhcnCAejwfZbFYKLb4I1Go17t69i8PDQ7kJA/iFsTk+i338\n0UcfiY7j8ePH6Pf7WF1dlYe9Wq1K94ZiO/q+OaevVqvo9Xoyvur3+5L8ptVqMRqN8Oqrr4pv3Ol0\nCojobDdpMBiIQjwYDCIajeLixYsySqpUKlIE5nI50ZYYDAaUSiV+j4SpzwRSduNoVWPIDR00TKAr\nFovSPaC/G4DkSITDYclK4B72+XyiNSCe3Gg0ShofO3xOp1NGKrzh7u3ticMpkUjAbDYjm82KBiQe\nj8uzS4HZL8J6Fvs4EonIrZgargsXLsjt/eDgQC5vzBdgd3ZtbU20MMSLm81mlMtloYSyW8TikRTY\nRqMh4DDqTRgfzosiiwS9Xo9PPvkEly9fxo0bNyRX4e2330YoFEIkEhEhbzKZFL0DXQEGgwF3796V\n/Bm9Xo/t7W2srKxI56JaraJcLotIkCNDvuAByIiFIzS9Xi+uO16sCHIio0Gj0Ui42MWLF9FqtRCJ\nREQQWiwWhenATjYAbG5uCiqdRcgXvbA9kwLhs834nwB4fTQaxc/+2mg0iiqKkgXwHwF49NnvNwC4\nAeDf/bTP+xu/8Rs4Pj4+d4MiOY7I2UAgIBbIbreLra0tBINBuZFrNBoR1XCme1a0p9FoROxiMBhw\n8eJFedlR4MJMc7ZlGYbBQ4j6gJmZGRSLRaHE9Xo9+cG63W6ZkxJENDk5KRGfZ0OUKCJk5TkcDuXA\nH41GMpaoVqvCiahUKvjkk09gMpkwNjYmClm9Xo9sNivVPiOb1Wo1gCdJg/V6HT6fD+l0WipotVot\nlfLc3Jxw8QEImIMvs+npaezt7SGdTj+9TfUlrGe1j69fvy5FLTkbHHtx/9TrdWmNJhIJSXyk3oQ3\npKmpKVFSAxAxUq1Wk0Q9lUqF8fFx6HQ6lMtl4Q40m01EIhFotVrMz8+L+KpYLAogqNfria+a6Z9U\nY5vNZqG2MQeEIwq6cYiDNRqNcDqdiMViQtucmpqScZfFYpHkRd6k6Ixpt9sycuNtjzqgUqkko7Vs\nNovZ2dlzxQfHiplMBvv7+8KQYPbIzMwMAoGA3BZpiaTyu9ls4tNPP32q++pfej2rffz2228L3bLT\n6QgqnImdxBk3Gg2YTCbcuHED+/v7IgKk68zpdIpQm8LQwWAg7XUSCPnCJFZ4YWEBhUJBusWTk5OY\nnp4W5oZarZbnqFqtYnFxUUTsjHCmYJzd4lKphGq1ioWFBajVaqTTaej1etkzTMY9G0RGTDcvW+zA\n8jLncDhQLBblZc8cIb/fL4mTDAjT6/XSuWPHgvApWuDD4bCgodmpJl6dzzo7acTuj0Yj/Omf/unP\nvHeeeoGgKMr/CuC3AfzHAE4VRXF89ku10WjU/uyf/y2Af60oyiGe2Gr+CEASwHd/2ueuVqtyC6Fl\nkdx3sgGMRqMcXtFoVDC2RCqrVCoMBgP4/X4JqqHfnzcqsreNRiNCoRDi8bjMi7RaLeLxuETZUpzI\nDgBjmev1urDFKQBkd2M4HErcJzc9AR7lclksYfV6XeZIrVZLNAgEurDTQXU246PT6bRkpBM9ygKF\nnmSbzXbOKkk18tjYmIxdyBb3er3n4CJ8sREXXalUpItyenoqzPTneT3LfUyxH4mJVqtV2Bvs3vCF\nqdfrsbGxgaWlJSGscX7O7ALuYUVRUKlUpOWq0WhE4cycksFgIIS16elpBINB7O3tIZFIQK/XY3l5\nGfv7+1hdXUUsFhP1P58R+ts5S6U+ZmtrC1qtVmaiBM7w2aBFkUFmHNPxpjQ1NSVKd6Y98nMw86PV\nasnX3e/3pUA1GAyoVCqC/CWPn7NripRZrKfTaSwuLiIUCgmHhAp3xvjOzMxgbGxMCufndT3LfUwX\nlsFgkNTD09NTuXDZbDaxBxI8RJAPNVwWi0XOWkVRxHlDYa3JZEKj0TjXyWIiLh05Z89dpoqyW8ti\nutFoYHd3Fz6fD8FgEKVSSeBZHK+dLUYofGQRaTabUSqVMDk5KdoyJqYCOLcndTqdBFSx48bOg8Fg\nwPj4uDyTHMeWSiVMT0+LeLPX66HRaGBmZkasjbTVP378GJ1ORy7KLJBY5AYCARErMhTr56mD8F/h\niejlH3/s4/8ZgD8DgNFo9D8oijIN4H/DE1XtBwC+9nme27Mrl8vh0qVLaLfbKJVKIuxjmiIBQ0RW\nMko2Ho/L/NTpdGJ3d1fgQFRl04HAlziZAuTV8+8fDAbycuULm7e0VquFw8NDaTctLS3hr//6r7Gw\nsCAbqt1uw2QySQufcZxU2lIExhY0ALn17e3tyceYAEg/+unpqbRlgSfwkrPeZNIROXIwmUwiKuLD\nBkBwtixS1Gq1jGZSqRScTicKhQJarRYcDocUScFgEDqdTpS9bD8/x+uZ7WNaufgyA4BAICCCWGbM\n05JLnLXdbkc2mz0X1mUwGGCz2aSFWyqVpNhlx4njAibiMdOErgCLxQKXy4XBYIBYLIZf/uVfFv86\nx1UkI/KFHY1G5YBiMh0tll6vV6AwRqNRcjuov6H6nYyDUCiEbrcrmSiMq+W+t9vtGA6HMBgMKBaL\ncLlcOD4+lhZyKBTC+++/f+6GaTAYBNqUSqVEd0S8M4NsOFoAnszUaW2jU+qL2sN+jtYz28cE9TCe\nXKVSCUOFroR+v4/Z2VlkMhn5n9/vh1qtxvb2Nvr9PsxmswTIsVXu9XrFIsjxER1pAASP3ev1hFfB\nF7OiKDLTZ7FhMBhw7949zM7Oyu17YmJC3BC8eNFJxC6wwWCQADCKF4n8J7CIf44BUwxR4yiZgszR\naCR7lPAnOnBqtZok/wJPXEMsOJhezGRJItZZOCUSCQkuY0eCxe7i4qIIRL/IehYchP9XT9RoNPo2\ngG//LJ+bSVuZTAYXL16UFhJb941GQ9LmrFYrIpEIPvroIxk7qNVqHB8fC07Z6/VKe4ssa7aDWEGy\nQ8GkLJfLJRZCjhXIojcYDMIDbzQa+OCDD+ByuRCNRrG6uopOpyNiwlwuh6mpKQSDQYyPj2N//wnY\njLdHbpCNjQ14PB4Ui0XU63X5/RqNBv1+XwoVHuQqlUrsRvv7+wgGg7h8+TKOjo5gMpnkQOasj7oG\nAFJQMFzHYDBgb29PooGPjo7khcOuCPUenPWGw2HE4/HnPib3We5jdot4y+fMXK/Xw+12o1wuo9/v\nIxqNwmq1ih4mEong2rVrePz4sXSbVCqVcN9JT9vd3UUwGJQ2Pw+OXq8Hp9MphxRvaHq9Xopapi2W\nSiWsra1JSz8YDMpBSiEZR25OpxPtdltU5OR4MA2xVquhWCzi9PQUGo0G6+vrEo5GhwWfscFggM3N\nzXN5IGyRfvb9Rq1Wk7/n/v37eOWVV36CYcAuIkdo1AixyGAA2+7uLgwGAxRFEa87nUcTExOoVqs/\n0775eVvPch8TPtTv98+9uDg6Ghsbk0CycrksDidaoy9duoRyuYx2uy36g/HxcdGA8Mxtt9uYnZ1F\ntVqVNERarzUaDY6Pj2Gz2RAKhcTOyAKYwtfRaISXXnoJiqKgXC7L5+a4lj93shn4jtBoNBLs12q1\nJBBwf38foVBIMN5M9yXEj7d5wp9OTk5EO9Pv95FIJHDjxg1xEd29exdjY2OYnJwUnRqfcTqK9Ho9\n9vf3ceHCBej1esGUc+zITu5gMJBL5+npKZxO5xfmeTxXcc+0LV6/fh2bm5vwer2o1+sSsnFycoJm\ns4lCoYBOpyPt0v39fali6a0NBoMCoTCbzYI+Ho1GEm5B1fdZpDFtg2zxzMzMCAaz3+8LUYsiGrZU\nc7kcSqWStG258RhNy7YmxVyEPjkcDty6dQsbGxuC5eRYIBaLSSs0k8kI13t1dRWffvqpbMBHjx4h\nEong0qVLMo+jRTOZTMLj8aDX64kwkrcsgp4ODw9hs9ngdDrx6NEjGAwGzMzMnLNQnpycwGKx4B/+\n4R8kuOXF+vyl0Wjg9/uxv78vOSLsHgGQopXuEa/Xi/HxcbjdbqRSKbHaUnXNjlOz2RSB1A9/+EPY\n7Xa4XC5BujYaDYTDYRF/0Y5FqxZ1M8lkErdu3ZJo9LNqbu5Jq9WK0WiEbrcrN/2NjQ0RINZqNemG\nKIoCm80mXYzj42OEQiF5+VYqFdEYMFmShyLdRsefMf+JdE6n09LCvXfvnoDCqBHa3t6W4qTT6Uj3\n4qzuaGNjQ26XJpNJujK8pdIG+WJ9/jo4OJAU2tPTU+RyOenGMjMjkUigVqvh1VdflZ8Rv8/MPuCo\njPZbYsNTqZQQFLVaLVQqlaDgvV6vvKwnJyfRbDZxcHAg3TOSFnO5HOx2O/b29mAymfDyyy+LyJo5\nCtQCkKFDQS47d4Tazc3NScd1dnYWCwsL2NnZkf+mTqcjvARybbrdLsLhMNLptBSh09PTcpEqlUpY\nXFxEoVCQr0Or1UKj0UhiJAAUCgWsr69jbW0N3W5XsNFjY2NwOp0YGxsTdPjZIuXo6Aj9fv8L2xzH\nv/3tbz/FLfNs1h/+4R+6APyXp6encLvdAl1hMAYffopkaPlqNpvwer2YnZ2VMBAKrEimYuTs2QQ7\nIlwnJyfh8XhweHgIv98Pt9uN4XAon4/hUGxRZjIZ5PN5YQxcunQJuVxOGPd8EPjnWQxQ+8A8862t\nLSQSCRFVjo+Pi0PAYrHg6OgIDodDwpPUajXcbrd4vFOpFPx+v7xgOFejRoNdkuFwiPn5eWkHs0ql\nIJIjHIq+iAddXFyEWq3G7u4uUqkUgCcjDb4QjEYj7t27h3g8DgD/+7e//e3MP/vD/f/R4j42mUx4\n6623pJX54MEDIWnev38fOzs7wiywWCwSupRMJtFut6FSqXDhwoVzhyQPJf455hswjY43ktFohMPD\nQ0k7bDabYuU7OTnBV7/6VWg0GkmqGxsbw9jYGEwmk3wdvAECENzrwcEBVCoV1tbWkMvlkM/nRR/D\nThdTS/mCX1tbg16vx9HRkegiGBU+OzuLmZkZ2XMcfdEiR4sxLw0UtRGR7vV60Wg04Pf7EQqFsL6+\nLiMJZgEEAgGZYbfbbWxubmJychI+nw+Hh4fo9XpwuVxMMX2xjz9b3Md+vx9vvfWW6Emox+LtnUmz\nFIyXy2UUi0VMT0+j0WgIeIg8FTpxAAhsKxaLyQuQepfJyUnE43G88soruH37NhYXF6HT6YRuS70C\nABGDnyWLxuNxhMNhscnystRsNqFSqUT4Td1Yu92GwWCQjI/Hjx+LpZC4cWoZcrkc2u02MpkMrFar\nCBWpqTg8PIRer5dxFwBJTd3f35eLFgDpqty9e1eE5+VyGevr6xgfH0ckEhGmAi93DNzj2CWfz4vj\n6TMb5s+0j596FsOzWGR//9Iv/RLeeOMNOfzYWiIoSK1WI5lMwmazCQeAKu1EIgFFUcTzTxoWwzlY\nlQ2HQ0xNTWFychKlUgnD4RDLy8vCd2e4R7FYRCgUQjqdxtjYGK5duyYVH7sBDIzp9XpYWVkRAcpw\nOEQikRDrIg/rSCQiNkvewu/duyds81gsJkFVi4uLooxla+rsYcuMe0VRcP/+fVy4cEFQtLQlhcNh\neaDr9To6nY7cJqkg/+Y3v4mPPvoInU4HL730kuBt/X4/stksHj16hFqthrW1NWGmWywWhEIh/PEf\n/zHwnDLsn8XiPn7ppZewtraGeDwuY5lOpyORtna7HblcDltbW1hfX0e1WoXb7ZbgFaYhFgqFc7f4\n2dlZcQlYrVYUi0XRDpRKJXHDEABzfHwMl8uF3d1dzM3NQafTwWQywWQy4d69e/jKV76Czc1NAMDF\nixeRz+exv7+PTCaDl19+GYlEQvQ5e3t78Pl88Hq9yGQyuHHjhghY4/E4RqMRnE4nVldX0ev1EIvF\nkM1msby8LEUvLZCxWEz2GRXfXq8X9+/fx/T0NObm5sQKSoEXkc9LS0tQq9VysFMRzthpAs/MZjPe\neecdhMNhRCIRhMNhgSlxXMPRz5/8yZ8AL/axLO7ja9euweVy4Rvf+IYIvjc3N0UzMBwOpePJ72sw\nGMTf/u3fSljZ/v6+ZCawe0n3Fn8OtJQz1pkamlarhVwuhytXrsi/U8vA85sRzeyKZbNZxONxxONx\nnJycYH19HY1GA1qtFlNTU5ifn0cymRQyIQtvg8GAK1euYGtrSyzBGxsboslhJDNdMLTPlstl+P1+\nibpeX1/H1taWvMPu3Lkjo2vadCkqZ+AaHUgXLlzAcDjE7du35XsUDAZlbE3xL4F71O7s7e3h8PAQ\nf//3fw982WFNz2JxQ964cQNf//rXBZM5OTkpNhrOXXq9HtRqNWw2G6ampqDVavHRRx+h1WrB5XIJ\nIZHwDSpJKYJiDvj3v/993Lx5E5ubm5ifnxcBGa2Cx8fHEmVLv6vJZBIvrs1mk1nx0tISstksIpEI\nVlZWZB7aaDQkc5z42XA4jKmpKeRyOSESfv/735f5MFMWSZJk5W6z2STx8fXXX0epVEKr1cLR0dE5\nxTjnxLS8AU+IZcRUJ5NJCSrx+/24d+8e6vW6UCqpMgcgKWTlclnae3zBbGxs4L333gNeHKyyuI/X\n19dx8+ZNjI2NIR6PS3Y7Pd68sajVaiiKgjt37uCrX/0qxsfHkc/nUSwWxfZIDYFWq4XVahUCYLlc\nxsWLFzE/P4+HDx/KrJZCMGaDNBoNiZtld6hYLEqAUqfTEXw2UbWtVgvlchkGgwHr6+uYmJhAJBLB\ncDjE5uYmlpaW0Ol0cOfOHSwsLMDlckmBTYcF2QtvvPGGRCtPT09DpVJhe3sbo9EIPp9PMhdMJhOC\nwaAUQ4PBQKxnzP/o9XpiDyPcidoKxmCzW8IwHwDC9+CN7/T0FA6HAzabDX/3d3+Hd955B3ixj2Vx\nH9+6dQuBQEASFQuFAvb39+FyuWA0GrG/vw+TySS49uFwKHbzXq8n50mz2ZSQO4bt9ft9sad2u10s\nLS2h1WohGo2i3++LqLbT6eD27dt47bXXUC6XRXTO4pW6HF7q1Go1HA4HnE6nFBV8bkhU5K2cX4/d\nbkcoFILBYMDOzg6i0SiuXLkiY2STyYTbt29Do9GI/bxer8NsNkv+j0qlQiqVkmwQo9EoFzSK7tkN\nO2uB1uv1SKVSUBQF9XodLpdLdGF061DTw4hssjuo5bDb7YhGo/ibv/kb4MsOa3qWKxAIIJfLCdVQ\nr9eLGJEq/Gg0isFgINkDlUpFxEtkJiwtLckLejQaidgxn8/D7/ejWq0K2/7WrVu4f/++/IDo911e\nXpbuAHGjkUhEFN/1el1mr9yIa2trMJlMiMViEvo0HA6h0+mwuLiIWq2G+/fv4/r161AURZSnnPnn\n83kZibCYYCAJefo7Ozv4zne+IzPiWq0mM16mM9JGQ0ELZ3ubm5sYHx9HMpnE/Pw8MpkMrl+/Li4J\non5pI1Kr1SLeoXiSIqAXGoR/fjmdTrlRuN1uNJtNABD+RDQaxdbWlrzAVlZWBHqVTqclaZEHWKPR\nEOAL8ckTExPY3d1FJBKRWHO73S7ds4ODAzSbTdRqNclrePvtt5FMJkUExoM4kUhIHPje3h7C4bBo\nKCKRCHZ2drC0tIS7d+/CZDLB6/Xi8PAQt27dQrPZlLyHYDAoRcnMzAysVitu374ts1mOLc4G5jDA\nikIvZo5MTU3BYDAgEolI94AcfwBoNpuCpCX7gHkq9JarVCpEo1F0Oh353nDcMDY2hq2tLXENvVg/\nuTizJ7jL4/EISpnfUxZd5L9QPOp2u/Hxxx/L2IiOB+BJu7xer8NkMonTJJPJoFKpQKfT4YMPPoDP\n55O8nDfffFNehgCEIvjxxx9LQWw0GrG2tiYhcxw19/t9GcmORiPo9XokEgm4XC44nU70+33k83l0\nu13cvn0bfr8fb775pjARpqenRTRPHRxBTaTKms1mPHr0SDgMU1NTAkViEU4gmN1uRyKREG0d2Qzk\nzGg0Grz99tsoFovY3t4WZgfHxDs7OwgGg2IrzeVykuz6RdZztfudTqfQqE5OTpDJZMT/zZfTtWvX\n0O/3cXBwIJ5w4jd5s8hms4IDZY6D1+tFuVzG0dGR0OzMZjN2d3clZMPpdIqli0E6g8FAEut4MyO0\nZXV1Fd/73vfwa7/2azLjj0QiEjV7Fk2aTqdhsViwtrYmiu5SqYS7d++K1SWZTJ7TCVAARqUr/xtJ\nSoxEIggEArDb7XA4HOLyUBRFWs10TNRqNRiNRhGHkbNQq9WQTCYxNzeHTCaDdrstYhj+My08VN/T\n2fBiff5iyzKXy50T5VGx7fF4sLCwgEwmI75/o9EoFj+iiRnqxGeAPz/mkbhcLnFAEGbTaDQwNzcn\nxM5AIIB+v4+bN29KrCx91ywAWUDyptVqtUR389577+HixYuw2+1YXFxEp9PBJ598Im1Tdsj4su/3\n+0gmk3C5XAIZ4/jP4XDIqIKkzmq1ipOTE7jdbrhcLrz//vuSs3B8fIyLFy9Kx+NsgcTbJDuCHCkG\ng0H8+Z//OYLBoISvMbuk3W5L8A31DMTnvlg/uZgd4nQ64XK5JPbZ4XBgMBhIGBipl8vLy6hUKshk\nMtDr9YLO39vbQy73BOLIHBhmilA0TridRqPB0tISjo+Psba2hs3NTVgsFjQaDWGLJBIJISKS27K7\nu4ulpSWxTdKBZrfbUS6X0ev1xKI4OzuLaDQqYmLgyQjNarXCarWKA4zOIl6ydDqdnH9MbdzakbMW\nnwAAIABJREFU2pKzv1KpwOv1iv14f39fdG8HBwfodrsiOifgKJlMYnl5WV7+4+PjGI1GaLVamJiY\nQKFQkM652WzGa6+9JmC1er0uI5Tx8XHcuXPnZ/4ZP1cFAm/DzOvmPzPuVaPRiEWJcxmbzYZarSb2\nMd7UCVlJp9PyMgQgYAn6aJn8RWXzwcGB2LEoaKQCnN7rdruNK1eu4P3334fP5xPRDOOaJycnEQqF\nMBqN0Gw2JWiHiWTcqKenp5IktrCwIDchin7YOmPBROtcp9MRrj8frnK5LOjQmZkZqSgp7hwfHxd1\nPFtcuVxOKF/MfiCIRK/XIx6PSwFCrQcJaRTgvFg/uSYmJhAOh3H37l2Zz1NDQk1Bq9VCsViEz+cT\nhgUPoKOjo3NRxwwk63Q6OD09lQODoyTqBGiH5J8dDodid2y1WpicnJR9xHks56gsWDlLplblm9/8\npnS+aDujOOrg4ECcB263G61WC3Nzc/D7/YjFYojH41heXhb2Qa1Ww/LysvAYSqUSnE4nrl69KiFl\nVqsVk5OTUKlU8uyw0KeIjdZfBvgcHx/DbrdjZ2cHjx49wsrKiuxZnU4nz/Pk5KQU4fSyu91uPH78\n+EveMT+fq9lsStBSt9uVS1S73UY0GsVwOBTbdzwel/GNRqOR6GZelsbGxsSWSqU/dVkul0sSSmkb\ndzqd2N7elv3I4pMWdABy+z46OsLKyop0IKhZo/CWI2Y+YywYK5WK6BFYhG5sbMBoNMpIcHp6Wkie\nxEOfnp7KGJgOC57NJEVS0EuOA/NKuLcdDgcikQgMBgM2NzflPccx8NLSkrAmyBihlZlOpkqlInAw\ndil/1vVcFQi81TNi1GKxSKQzD0WGsrDbQEQlbxIPHz5EOByWUcBgMJD5JAWCvI3z/6lAXV1dxfXr\n1yWPfGxsTJT7VqsVw+FQELY7OztyQE9OTgrumM4AVrYUQnIuW6lUBDozGAxE2W0wGOSGzpZsIpGA\n1WqVDc0bKL25KysrGB8fl2qTh+BgMIDH48HY2Biy2SxGo5EI33hjzWQyAj/h5+UNjUx8jm44X0wm\nk+dCm16sz1+9Xg+Li4sS28yXG/3M7FKRVzE3N4dYLAa9Xi+2K6qsWRQEAgGcnp5KNsfu7i6azSYW\nFxfRarXEqgVALLwU4xJNy+wPjs14m6dgq1arwe/3C4RrOByiUCig0WhgYWEB77//PgwGAy5dugS3\n2y1x6uwmWa1WwZhPT09jaWlJFOS0sWk0GmEkMAAtmUwin89DrVYLrInUTxbK5EiQH8KRI4WczEyZ\nm5vDyckJ0uk0NBqNBDex1VsqlXB8fAyLxSJJgy/W5y+ihhnNzEJrOBzC4/Gcw3WzC7a7uyuALLq5\nGLm8s7MjXQiKya1Wq3TSKNDlHuVl5CwGnAwBttyBJ4VCKpWCRqMR7UKr1ZK5P+3iHD8QsOdyuZDN\nZmUUTQ1QKBTC7u6uhCJRE0ObPL8m4MkFrN1uw+FwiACRILRYLCasDe51auNINmW6pMfjEfgS3wkc\nmzNQj+NsFsqkP7bb7S/cCXvmmDBFUf47RVGGiqL8Tz/28X+jKEpaUZSmoijvKIoy9x/6XKws+T9a\nGVl9nVXg8wdTKpXg8/lk7tjtdpFIJCRW1m63IxAIiHAQeFKIcGxwfHx8zkVAcuPZCFK+yDudDjqd\njvDIvV4vLBYLtra20Ol0kM/nUalURAsRiUSER845Pw9fzqNo59zd3cXJyYmoVxVFQTgcFqsXb4IM\nNiHKk2pWn88nbdPBYHCOuse/nza5YrEoLAkG73C2SwgO7Z2sricmJmCz2TAzMyP+31+k9TT3sclk\nwsOHDzE9PS0iVyKq6ZKpVCpipaKwirAvq9Uqt3iGc0WjUdk/TIdbXV3F2NgY8vk8lpaWcOXKFUlD\nJehrbGxMopQBSN4DPepsaTKDIZ1O4/j4WDj5tHHxsGYMNVP8yMinsLFSqYhPnS1/sgf6/b4Q687y\nTXK53Dl2x+Liouh8aH2mtZg5ALlcDgcHBxKkU6lUcPPmTWQymXOY32q1in6/L/Q/n8+HK1euwOfz\nSfH1i7Se5j4OBoPiMiBJsNfrYWpqSub77XZbbuyRSATAk/OVQLZisYhyuSyC6cFgAIfDIWJFOr+m\npqawu7uLTCYjBM9CoXAub4QZItRIcdRmMBgAQNwBFJKfpdXSoUZwE1NyGWrGJFCv1yv//bQvckRB\nazgvXgzTozsnm80imUyKtkClUp2DgRGDbrVa4ff7Ua/XUSwWMTs7KxbddDot9nryR6g3IJ6dDg3+\nOt8LX2Q90wJBUZTrAP4LAA9/7OP/CsDvf/ZrLwE4BfD3iqL81HKdc1PiKDl34nyWoApWcW63G4FA\nQPy29XodTqfzHPugWCzKLJ7iRyaQ8bbCKM3x8XEJ7+DN5eTkBIVCQdj4zAgn+tjr9aLZbEoxcZYz\nwI9zk7MF1ev1UK/XRSmu1WpRqVRESUsGA7Gi5EDMzMxgenpaWsHJZFJePjx84/E4ms2mvJCoJeDt\njSE23Nh8yFg88bDn94+jFfqMOd/7omCOn8f1tPfxxMQEYrGYOAjsdrscXiQfMl6WDgMWY4PBQDI6\nONvlgUsBbbVaxdLSEl5++WVJe6NWgaOkQqGAZrMprgmGlTEJktS4SCSCfD4v1EXedPr9vrxYzWYz\nEokEbt26JRofdrWYgEqUcrVaxWg0Qjqdlq+ZxQcLb0beVqtVmEwmzM7OQqfTwWw2w+l0SqfE7/cj\nnU6jUCjAZDIJtpz6GkVRBEbmcDgQi8Xg9/tFd0OnDkmL5PkHAgFJiX3esxjOrqe9j1UqlZw5ZB/U\najWk02mZ0zcaDTSbTbTbbdRqNUG9T01Nyb6im4dnGTte1NbwwuFyucQmfvbnptVqBeh1ttXOy2Au\nl4Pb7Rba7o+3/ufn5+VFazAY0Ol0kE6n8fDhQ7nUra6uCqWW+Qy8FBLXXa1WpUigvozaimKxCL1e\nL1ZEXtra7Ta0Wi08Ho9cDkjGJWyKWgN2VtjNoNumXC4jmUwiFovJeJfZOuwef9FsnGdWICiKogPw\nfwH4zwH8OK/0vwHwR6PR6P8ejUabAH4XgBvAr/20z0nrIl+I2WxW5j5Ms6JIqdVqIZVKSRVG4R1J\nU0ajERqNRl6Q1WpVDrHT01PU63WUSiVxPACQtEa2giYnJwVCNDMzIwd6pVJBPp+Xuf38/Lx4wtVq\nNaLRqLgJcrmcAC7438Svf2JiAg8fPhQQDrUHDMNJpVI4Pj6W1MWzty21Wi1QkMFgIL/HYDAglUoJ\nVprxwMxKJ3ucMdQnJyd48OCB3KTGx8fhdDrlgUun06jX69JF6fV68Hq9MBqNT3dDfUnrWexjipjI\n31Cr1SL6Y0eHN2zOWI+PjzE5OSnKcavVKtZTanKYuDk5OYlCoYD79+9LR6vZbOKDDz5AJpPB1NSU\nhBQxcTMUCknhR9swsxU6nQ6mpqZgNBolwEulUsnHDAYDHA6HWG/ZnSLJrtFoiOWr0+mIU6hQKKBQ\nKMDpdEpCaiqVku7b2awRh8MhI69GoyHPmsFgkGdLp9PBaDSeg8fwZstcBhYgzA4hie/sqIxCOq1W\nK9qk5309i31McidRxoPBQNT75MvQPULX1rVr14R7QPEs7dx8AZ6eniKVSkk3goJyxikzDOry5cvi\nBjCbzULr5CWK5xiF4Ox2sSN2cnIijgG1Wi1gMharLGo8Hg/S6TRGoxH8fj9KpZKAwMgdmJiYkBEF\n01gBCNeBX08qlYLP55NCn1AjPrvUsUWjURldUD+2tbUlYxzCAnnusnAiTM9isUCv10tG0M9jB+Hf\nAfjeaDT6h7MfVBQlBMAJ4Af82Gg0qgP4BMDLP+0TEpHJGwJbQEy6IlqS8CKGxTDpTafTYWdnR3jt\nZwmCtMbQ/zw7OyvpXWzr9no9AXawC6AoitxaarWa8LeXlpYEhlGr1VCr1YRlv7i4iPn5edhsNvh8\nPgCQlhh/qGq1GrlcTpIhHQ6HULpoJeOsmnqGRCKBZrMJp9OJ27dvS8eD4UBsS7FzQP88ACkw+H1m\njjkFOXa7Hfv7+4jH4+eS8gKBgNDHer0ednZ2xJf+C7Ke+j4GnuTD80DIZDKSE3A2pZRY43w+LyOk\nk5MT6S7wALRYLOdGOjqdDo8fP8bGxgZsNhvGxsZgt9ulDZpIJETPwhEAY2g5PqIfmyMqCn9JwuP4\ngZ0PomivX78uehpyDVwulwhfPR4PUqmUBNEcHByce1mQAkmyYrVaRS6XEwgOR210N3AGy5RUImrZ\nNSO+/CyfPxaLSQrmxx9/LMUv9z9zHZ73uPIfW099H09NTcHv90sOgkajwezsrJxHp6enGBsbg9Fo\nxGAwONdmn56ellv2gwcP0Gq1xP3FCx1fuiwIyuWysAAKhQLGx8fhcrmkmODolNoIACJyjUQiMpcn\nQbRQKCCbzcrZzLOW1kSGShG6xL+DY49CoYBKpSLuBmrNOJ4DcO5Z4QUuFouJ9oiixHg8jtPTU6Ew\nsvPAbovP54OiKMjlcjLaIOKa9FTqJqanp2WcTPHzFx2VPRORoqIo/ymASwCufc4vO/EkXSz3Yx/P\nffZr/+yiCpuVUqfTEZUpRUlut1uQsrSTsRXb6XSwsrJyblZvs9kk+pkzYIo/Ll26hEqlAqPReO4H\nNjMzg93dXXEYMLyItx0Akl3v8XjQ6XTw6aefwmKx4NGjR1hbW0Oj0ZDYasKJ2H5iVU0hIG8/hUJB\nKlfe5ihmjMVigovmfx+tZqVSCevr60in07KhLRaLzM7IxGcXhaMYm82G7e1trK+vo1wui9UtFosB\ngLzIzn7dHo9HcKnP+3pW+5jjGB4mZwsy4sJLpZIcBh6PR2a9JF/S4st2P4OYGLk7OTmJQCAgLPx4\nPI65uTkYDAYZL3W7XWi12nPYcQrAeHDx97D9TqCS2+0Wh4PZbMb+/j4WFxfP8QQo2K1UKmi1WhLH\nXKvVMD8/Lzd80ujC4TC2trZkjEGC3MzMjESIsyVrMBjk62ZBwpYq27x+vx+1Wk1EnScnJzAajbDZ\nbDg6OoLdbsfc3Jx8Dhbc5HjwpfS8r2e1j0ejER49eiTMFtrN+VLt9XqybzlG8Hg80Gg00skajUaY\nm5tDt9uVl69arZakUrbuyXVRqVRyyfN4PDg+PpbPTy4CX8gAhJtDhka320UgEBDCoc1mQ7FYFK6I\n2+0WcR/zdpg2ORwO0Wq1pNg1GAxCKdXpdIL9ByAXQGanDIdDXLp0SZxDsVgMdrsdo9EIMzMzQtSt\nVCoIBAJwOBzyOekOc7vd0lFsNBrI5XJYXV0VgTGhUuyasMhmYNQXWU+9QFAUxYsn+eJvjUaj3tP8\n3D/84Q+hUqkwGAygVqul5UPBidFolJsE7Yt37tyB1+tFNBqV2U0gEEC9XhelNOezFosF4+PjODw8\nlIOTIq/j42PcvHlT4p7JuI7H45iYmIDVahVPMNs59LGqVCrMzc3BZrNJG//09FRarww1oV0okUjI\ng8Q5HMEhJycnIuI5e2sMhULSNel2uxITvLm5iUuXLiGTyYhdjfhQitXMZrN0IsxmM05PT6XIYOeg\nVCrh+vXrEibCh503gFwuJ0XR2aCr53U9y3387rvvCg6WOe5EDhM5yzjiQCAgjI+DgwPBAtMZwNx4\nZnpQ8DcajXD58mVEo1Hxo5PzzhtFr9dDMBiEVqvF0dERAAgP3+VyiYaGh065XJaZMzU2o9EIqVQK\nFy9eRLValZh1Pjss3Dl/rVarosuhpoL2WQbPZLNZibHm4RsOh7G7u4tQKIRIJIJms4lwOCzzajqa\niOPljZQajrfeekvoehQuM5q4UChAo9GgWCwiFouh3+9LgfK823Wf5T5+55135Of72d+F5eVlCazj\nOJNjJrfbLeNKuhq63a6Ir3U6HW7cuCEibLb70+k0+v0+fD6fkBozmYxY+DQajSDFM5mMOFZIxzw8\nPEQymcSbb74p3d54PI6rV68K54YWcmrYyO5QqVQoFArCCJmbmxPHl8fjwf7+vlw+KZJnemK/34dG\no4Hdbkej0RB42L1790QQyTFMtVqVxMpWqyX457t378Ln84mosVKpIBgMCp30k08+weLioozaVSoV\nkskkPvjgA3S7XUxPT8uz+0XWs+ggXAVgA3Bf+afBxziA1xRF+X0ASwAUAA6cr1odAB78tE/8xhtv\nQK/Xy62aLyPOvbRarYj16vU6PB4Pdnd3odVqZfZJTKXX60U8Hhf+Og9cMt7T6TRefvllHB8fw2q1\nyswyFotJ28hiscj8i2TGcrks9jPOeWOxGILBIO7cuYM33ngDOzs7EtZEdCjzFywWCw4PD2EwGHB4\neIj9/X0sLCzA7XaLbYhUMv4/50/dbldgNVNTU3C73Xj11Veh1Wqxv78Pr9crYw6/3y+tWo5LBoOB\n/Dl2XRwOBwqFAq5fvy4Cx1AoJOmYtVoNVqsVKysrACDBPrlcDn/2Z3/21DbVl7Ce2T4Oh8N44403\npB1OD3m1WhUUMMEz2WwWDx48wK1bt7C7uysZCIqiCCXUaDSKbsDv92N7exvLy8vY3t5GKBRCNBqF\nyWSCSqVCOp2G1WrF+vq6ZDIQYVyr1eQWl81mpbXJA4tun0ajgXv37sFgMJyL/OZzyWIknU6LzoWx\nu7QeU43NeSwFryTedbtdpFIpJJNJ6fAdHR0Jn+SVV17BwcGBWHo5YyYQim1kl8uFarWKBw8e4M03\n3xTyKGmO2WxWdBQUhgGQDly/38f3vve9p7mv/qXXM9vH3/jGN6Aoitj3yHIZHx8XEaxarZbRks1m\ng8vlki5koVCA0WjEysoKUqkU1Gq13IKpTanX67BYLJLSyXGrVquFzWZDtVrFJ598IhkztHnzIkQR\nMDUs7777Lm7dugW3241PP/1UxhzpdFoKEEVRxCnEjmssFsPKygrK5TIeP36MGzduCDPDYrEgk8mI\nzVClUsFisYitt1gswmq1wul0Ym9vDxMTE5IqSstup9M5Z5Os1+swGAzy3rl79650vdVqNba2tuBy\nuQT+1G63ZcwbDodx69YtFAoFeDwePHr0CPV6nVkMP9N66lkMiqJoAQR+7MP/B4AdAP/9aDTaURQl\nDeB/HI1G//Nnf8aAJ5vzd0ej0Xc+53NeAXDv1Vdfxdtvvy1q1dFoJIlhtVoNKysryGQyEjdrNpux\nsbGBX/3VX5VZJ9v6fr9fbF702Q4GA5nTBgIBeL1eHB0dIZlMirCm2+1KOMxZUhi7ExQArqysyIgj\nEAjgO9/5DgKBgMxHQ6EQUqmUxHRSfcv28czMjOB1qbRNJBISThWJRBAMBmWTGQwGOJ1O1Go1ZLNZ\nmEwmOeRbrZbc1hhmAjxJEePDzc1FAU+n0xGB2vT0NC5duoRWqyX6D5VKdQ4pnU6nBQXqcrlw//59\nfPDBB8BzyrB/lvv4N3/zN2VsNTk5iWvXriGZTMr3kcyCixcvSkZHKpXCpUuXxCNNuBBb7dwv9J9H\nIhGYTCa0Wi08ePAATqdTnDqZTEZ+TrS4RqNRrK2tSfcrnU7DYDBIHLhGo0E6nUapVMKFCxfg8XiQ\nz+dxenoq5DmDwYC5uTk8evQIpVIJ4+PjMk92OBxQqVSCLb9y5Qo+/PBDhEIhuN1uvPfee/id3/kd\niSA/ODjA1NSUdNd4ALvdbvj9fhwdHcnh+tJLL0lCJSFnfG729/ehUqnwta99Df/+3/97fO1rX0Mm\nk5H5+PHxsaS0cuRRr9cFHlWv13Hv3j3gxT4++zmvALj327/92xLwxTZ4Op2WXAYKBskPYHvdaDQi\nEolIjkE2m8Xh4SGsVqvg8zmm4si03W7j008/xauvvgqz2Ywf/ehHwgYgXIzCQKfTCa1Wi+3tbSkm\nKpUKHjx4gKWlJcER05lDaywL4GKxiGQyKWMPWmI3Nzdx8+ZNjEYjZLNZ6cw6nU556QNPCJMTExOI\nRqPw+/0yHtvY2MClS5dwcnICnU4nhcVoNJJ46+FwKPySfD6PRCKBt956S6LhU6mUOC263S6CwaC4\nnjjipXODOpCZmRn84z/+I8cMX24Ww2g0OgWwffZjiqKcAiiNRqOdzz70bwH8a0VRDgEcA/gjAEkA\n3/1pn9toNEqrnS36ZrMJq9WKubk5AbBw/tRsNvGtb30LqVQKV69exebmplhvGFY0NTUFm82Gk5MT\nwRi3Wi0cHx8LDtdgMOCjjz4Sqh392GQC8KVLSEcsFkM+nwcARCIR3Lt3D0ajEXfv3sWtW7eEKEYP\nO0cJOzs7mJt7Yj9ut9uYmZlBKpXC2toa/uqv/gq/8iu/glqtJnOwzc1NeQgVRYHJZEKv18Pm5ia8\nXq90RQwGA+x2u4wHHj9+jPn5eXQ6HRwcHGA4HOL111+XkQiVuplMBh6PB8ViEe+9954wH+h7n5yc\nlNvbW2+9hdPTU3z66acIBAJ49OjRU9lPX9Z6lvvYYDBIaBejj4fDIUajkQSEFYtFABCaYjAYxA9/\n+ENoNBqsr6/D5/Ph/v37gpW9f/8+bt68KV0zYsULhQK+/vWvo1wuY2VlRV78lUoFOzs7cDqd8Hg8\nuHr1Ktxut/jSqUpXq9VIJBIi+LPZbHIrAv6pm7W1tYWFhQUkk0kUCgVcvnwZiURCItapRXA4HBIE\nNTY2hpmZGRweHkKlUglu9mxxAACLi4ui/YlGo6J2p13x3XffxcLCAnw+H05OThAMBtFqtZDJZHDt\n2jVkMhn85V/+Jdxut7SEt7e38dprr2Fvbw9bW1u4cuUKPB6PwL5IfvwscOy5Xc9yHw+HQ1itVhGw\n8kyj4NVms8FqtYqw1O/3I5fLSYHLbi8A3Lp161yOBtkchFel02lcvXoVExMTuH37thQkzWZTilCq\n+iko53lIQaPb7Ra0MfNpyJ3hyNhiscDr9cqliqFm8Xgcf/AHf4AHD540VRYWFpDP52V8UCgUYLPZ\nMBgMhCFDCifF8qTOchwGAPl8XjQc3W4Xy8vLyOVyIjZfWVnB4eEh+v0+ms0mbt68iffffx92ux2X\nLl0Sp0OlUpGznc4KAPD5fJiZmcGtW7e+kA7hXyTNUVGUfwCwMRqN/tszH/s2nvhujQA+APBfj0aj\nw3/mz18BcO9b3/oWVlZWJNGQ0bZjY2Ni/+DchWmGVqsVpVIJV65cEUEI5zEUNtH/z1t8NpuFxWJB\nOBzGe++9h7W1NZm10qNNKAhtZWcZ4mtra0LJm56ehsvlknx5+sZPTk7QarXgdDoxGAxEkc32FA9Q\n3uYXFhbQarVQKBQAPPHS63Q6JBIJQZpSEU9MKNtce3t7MJlMcrhTbEO6o91uFyeCVqsVemS1WsXB\nwQFeeukl7OzsYHZ2FlqtVpwRnPU5nU5B4zLvYTgc4i/+4i+A5/Tm9Xnrae3jGzduSCTx1atX5eZy\n+/Zt0dYoiiL7gcWrzWaTOTpJnwTLnKUF0iLZarWkaH348KHMOMl+v3HjhrT/6QFPp9NIJBKChH3p\npZcwGAzk7yLBsNPpwGAwYDAYYGFhAeVyGXt7e+KqoKKcmgOioLl/VCqVHJKVSkUEgV/5ylckDc/n\n86FarSKTySAcDgN4wj6hoDgQCMghzQ4Z9Qj00Xu9XuTzeayvryMWi6FYLEp7l9ZntsWJLOe5QdfD\nu+++C7zYx2f//BUA937rt34LgUAAWq0WH374obyEfT6fFHq0Z5OAe3JyArPZLFkKzFsol8tCtczn\n8yJwJbhrfHwc8/PzuH37toCEeDkrl8uiR6AeR6vVolariUiRyZD5fB6vvvoqvvvd7yIcDsuzxK4u\nO6Hcn6RqUnfjcrlw584drKysCP+Do+0f10son+WL0A3HrmE+n5dClnwEg8Egz83ExIRYhlk8/N7v\n/R4ODg4wGAwEEc7MC77DXC6XuHc4vmEgWbPZ5KjsFzfu+dd//dcxPT2NUCiEQqGAVqslBxwLg7Ns\nbrY1f/CDH2B5eVkqK6o82RYFIILBfr8Pk8mETqeDTCYjB7Narcbh4aF4TGOxGFQqFdxut/imdTod\nrFYrtFotdnd3MTY2JnjXjY0NNBoNzM/Pi6KbrS/GOHPMwRFKsVhEPp/H/Pw8HA7HudjQYrEohzrR\nxlStDgYD+Hw+GbXwYSWOl5QzshLOEsRcLheSySRCoRC+8pWv4P3334dGoxELEAU4pPiRnJdKpUQA\n2u/3sb29je9///vAL9DB+v91cR9/9atfhVarxfHxMS5cuIBWqyV7t9VqodfriY5mamoKZrMZm5ub\nIiA9PT2F0+mUDBC9Xi+WR+7nx48f4+rVq8jlcpIgOhqNzr1I+fOnE4exsHxpEs3t8XhQrValfU/x\nayAQkAN/fX0dd+7cwfHxsUQzc17KMeDk5CSq1SrC4TDu37+PYDAotk6Oz9jqZ/w6RZGcT5P5UK/X\ncXBwgNXVVYl6j0QiODk5kfk0dQjc18ViEcPhELOzs7h3757Y4XgLNBgMaLVaCIVCACBq8+9+97vA\ni30si/v4zTffRDgchk6nE/w6X1Aej0cSQNfX10WbAkDa99REqdVqRCIRdDodXLx4EePj47BarWJF\npMasUqnA7/fD4XDgnXfegdPpRC6XQzgcxsTEhFwSo9EoMpkMAoEArFYrTk5OEI1GZfzGPc/RRiAQ\nwMTEhFycSIJkZk86nZaOEu27/Pr8fr8EMul0OuTzeUxPT0t3g10wCh4BiGvirbfeQjKZFLAYiwS+\np/b29iQrh6JPQpgqlQrMZjNMJpM4Jfis5PN5KbzW19fx8OFDZDIZhjX9TPv4maOWn+ZiOFE6nZYb\nFsE9Wq0WpVIJg8FAvLTHx8eYmJjAm2++KfkDsVhMlKJMOGSa49kbkkajESEidQazs7NCwcvlchiN\nRqhUKpK+NTc3h2q1isPDQ8l+oNhFp9PB6XSi0WiIz5aRo6VSCalUCsATENH+/j5qtRqCwaC0aD/8\n8EMJPFlaWsLc3Jy02egXJtxoamoK0WgUOzs7Mk8lUtTlcomydvQZkppcf443CJ/55JPwa9SgAAAg\nAElEQVRPZJxCaAn9tHx5UAUeDocxPT0N4EnkNqNXX6yfXBTIOZ1OmWEyNc5gMMjLkC9yqvpZEPLF\nms1m0el0pHtTKBQQjUYlaKlYLJ4TUFEtPTU1hYsXLwrwijNRFioejwcTExMSN02YUDQaxf3795HL\n5eTGZDaboVKp8PDhQ5RKJSwvL0s3oFKp4N1335WQpbW1NXg8HoEaORwO4dK73W7Y7XasrKzA7/cL\nwItocq1Wi0AggEKhgFgshr29PaTTaaHZHRwciLCL8e1sefv9fvGZLy0tyfdjdXUVOp1OoobZ2gae\nzJFpoX6xPn+1Wi3Mzs5K9HCpVIJGo4HFYsHU1JQgsd99911hT/zgBz/AYDCQ0UKv10On08Hc3Bzc\nbrdYrePxOCKRCKrVqnAUuOdprZ2amkK9XkcsFsPp6SkODg5w//59Icnm83kRgV+8eFE6BQAk8n5i\nYkLyDmiPJGOAMDMimZeXlwFARtKtVks6uOxKabVaGQ9TaF6pVHD58mXprhQKBczPz2N3dxftdhtG\no1HQ3vv7++fSJknLnZ6eRjKZRDqdRrFYxMcff4xMJoMf/ehHYs998OCB4KcJDeTXRHjYz7qeqwKB\nBxUpgw6HQyowzij5YqIFb2trS5jgtF2x/crbGVXk3DAMlOHhx4hptnImJiYQDAbl1ynoazQaWFxc\nlG4E8cwUN5KQNzExgaOjIwHBNJtNsW/SxlIqlWAymaDT6TA2NiYv4EwmI2AaBunU63Vh4zudTqjV\namntMsKWLS8WJeVyGePj4zKjY6Svw+GA1+sVB4bD4RC2/9kYXa/XK10QCt2IIWXR8WJ9/iK4h0mZ\nuVwOh4eH4sHnvhmNRjCbzdBqtZJrz/z3RCIhN20KdukIoLebM36yKjjz5edm8I1arRY9zFkrLfdO\nNptFu90WpXWz2YTP58Pp6SkSiQSSyeS5YrfT6Ug6JPdgPp8X5C27FfxaJyYmsLi4KIVop9MRvQ8V\n7YlEQgpxiseuX78u4z52TygQ4+/h18SuGosNtnWdTidMJhOmp6dlP+dyOYnNptbixfrJZTab0Wg0\nYDKZsLKyApPJJJcVcgm0Wi2Wl5dhMpkQj8dx/fp1CcDizJ6FhdVqlUyder0ulzVaWc1mM46OjrCz\nswOtVisFn6Io4h4g28DtdsveymQy2N7eRrFYFGbA6ekp8vm8JAHTKs9Raz6fF6stOwIAcOXKFRnJ\nEYzkdDrP7UGOVZgT4vP5JH6ZdnvuT4vFAgDY398XCN7ZUS1de7wwTE9PQ6PR4Nq1a7BarXj99ddh\nNpvh8/kkgE+v14vWotlsSofki6znqkBgy7Lf78Nms4k6enV1FYqioFQqQaVSCZGQrADmY5PY5nA4\nkMlkJGpXo9HIN57kRCbrMY+gWq0KOMbj8Qir/mzEJg9iKqSZ+TAxMSGxy+12WzQQPAA5Vjg+Pha8\nczgcRqlUEsEYmQQE2VCPQBcBI6LL5bKEACUSCbFwWq1WIehR3EkgDf99c3MT0WhUiqWz1EWmQtrt\ndokrJcKTABuOK7rdLqxW65e8W36+F8WdPKAURRGxF/kIfGG53W7UajXk83mhKjKW3Gg0Ynp6WsZi\ns7Oz4rxRFAWHh4ein+Fsnejmhw8fYmdnB3q9XgST1NHk83npkJ2cnEixAkCicfm1MsacbX2v1yuB\nNQCkJatSqZBIJATFDEC6F8wH4Rz6bHFC6A7jhfmcEvccj8eh1Wpl5spDm4JeAPLs3717FycnJxI3\nrXwW7MMXitVqxenpqVwenocR7Je11Gq1dHKY9ur1ekUEyJ8P2/der1deXBxbcdzb6XTkBU72C2mt\n1WpV3BLsvNXrdRwdHaFWqwltkGNQo9EoCHy1Wo0bN27A4/HA7/fLWVWv16UoCASemDyUz/JlJiYm\noNfrkUgksLm5iVarJYVtOp1Gp9NBo9HA6uoqlpaWUKvVUK/XYbVaJVuEYzriytnNBSCFcaPREM0D\nLwEs9slBIO335OREuhIzMzPSQWYIWjweR7Vala4aGSXlclmE/F9kPVcFAm0xVKfyZksWgMfjERIW\nb8Verxe5XE7gLRQe8bbBGSXjOjnn5a3cbrdLYAj/PKNyz9otz4YeMZLT4XBIcAlvWAAkZZK6CY1G\nI6MSn88nKY+5XE4esGg0ilQqJSMNbiD65jliYDeCnQpmLJTLZdjtdgmHYtuOokW6MNrtttjsWHSY\nzWaEQiGxNvL7RjcDyZO8GZBN/mJ9/qJ4kDd5ho8ZDAaYTCZ4PB4Rp1KoxRsIE+J46AIQQV65XEY2\nm5XwJs7maS0bjUaIRCIYjUaYnJwUCFC/30cqlRKlOdPsmG9SLBblmet2u/LCttlsYgvm2IEhSaTH\nkckxMTEhnS9CvThr3d3dRb/fRywWw9HREfL5PAqFgnjZSUhky9RkMklgGjuBvJWRt8DbIdn+KpVK\nOo3BYFAyG9jho24pmUyKfZpt7Rfr8xcvHuFwWArUsbExSdlVFAVOpxPj4+PIZDIAnszfqa+im+H0\n9FRw49SQzM7OioaK9un9/X3BFR8dHYnQlJcljkr5s+12u6Ll8fv9kvhps9ngdDrlPOPzAkDwxBQm\nEgvNrlgmk0Gv18PJyQmOj4+Rz+eh0WjkAsiilFq2fD4vujeOs9mdY/5HtVqF2Ww+58DLZrOoVCqY\nnJwUYi6D86jlYNiVojxJ9uX3mmcKuR60an6R9Vztfp/PJwcmQzBIkKPnk10G+vWnpqZw9epVsfDZ\n7XbE43E4HA5RZvPlTvU9+Qi0LI6NjQlha3JyEplMBnq9HoVCQW56HBGMRiNcvXpVkr9okeHB6vP5\nRPRHkiO5AiwWyuUyCoWC+IDZYdBqtYJaNplMknzG4oIq13w+L9qJer0Ou90u6XkM92GXg61Ais84\nNqEIx2w2Q6PR4Pj4WNqtzGXng8lb5NjYmLD3E4nEl7xbfn7XWeDJ/Pw8dnZ2RH1fKpVk7DQ1NSVw\noW63i/X1dUQiERiNRuG5cw9wBEBnQfCzGGX+nJkGSnEq0cz8OSqKInN/nU4Hl8uF9957D3Nzc0Il\n1el0koCaTCaxsrIikBmHwwFFUeDxeCTJj5oVFtBkcjAIbXFxUcTGRMqysK1Wq1AURVqmzH2gs0Gl\nUomok1kRiqIgmUyKFZTtaYvFInHYRJqfTU4lZIdxwXq9XjQLROe+WD+5GJjFbimtsbRTA5D2PV/A\nRGWzE7ywsAAAiMVi0hr3eDzy86b9d2xsDA8ePMDY2JjoVBYXF3F4+MRoQRIiY6B5FtM5xkLv5ORE\nAGKEao2NjcHr9cqomBc5APLzZ1dpdXVV9FnUvFDXxQwGJvOyG8Kzl+JisnfoQKLbjfyORqMhnS/m\n/9CC3G63hXZ6enoqlzh2BhcXF6X4YEFN2+kXWc9VgdBsNlGr1WROZbfbJbCC2oBEIiG3WSr69Xr9\nOXpitVqVFzVnpUR9siPA2xnbS/V6Ha1WS9C42WxWcLmcgTEmmqpctr8Y+0kyV6PRwMTEBIrForTo\nyc6m4ESj0UiyXrfbRSgUkrZ/p9OB3W6XQBO2oigSZLsfgHQ7ms2mBPZMT0/LrY7/HgqFEI/HUavV\nZLOTrFgqlbC7u4uVlRXB/gIQYc5oNILNZpMAE2YMvFifv5hEB/zTjYXRyxQ88ebMfcAsgVKpJOFH\nwJNigz8vYpr7/T6CwSDi8Tg2NjYQDAZl3GU2m4W9US6XpT3MMQMAzM3NyQz+7OHDsCiDwSBaBLbz\n9Xq9dBB2dnawvLws7Hx+Xa1WC7FYDMPhEAsLCzIuYNaC3W4Xpw55JOFwWFrNW1tbItAks5+/Rouy\nTqeTgoSta1o76YfPZDJIJBIwm83I5/O4fPmyPCP8cyaTST7fi/X5ix2ier0ubX52X7gfqtWqXG5W\nVlawu7uLVCqFy5cvSxfq5ORE7N5qtRrD4VA6SCS6ks9is9kwMzODTCYj46+zDjCeUcznYdJhoVDA\nzMwMwuEw4vG4IMldLpeMUs8m/ubzedH4cORHh5xarcbKyooEl/V6PRlz0XJMOy11Y9evX0c2m5Xo\nZerdqJMhHM9isaBYLEqxxY41x2fszPFZYQIqbe/sVnNEw8wKotR/1vVcFQjpdBqvvfYaksmkbE6O\nA7rdLmw2G0wmk7w4CWDhD12j0WB1dRW5XE5uKrSXkAposVhQqVTk8CPK8vHjxyK4IoSGkA1iWRVF\nQTablUqyUqlgZWUF3W4Xer0eY2NjODk5QbvdlsQtRspyZEBmOX89m81Cr9cjm81KYhpHHkzqI8+e\nsbkHBwfY29uTGdjk5CTW1takHcs2MN0aAIS4xfYZ7Z38XiwuLmJ6elpSyHg702g00h0xmUxiJ9vf\n3/+Sd8vP76J1ifqSbrcrPA0eppyptlotmb2z8DtLTqPAy+v1CslucnISh4eHaLfbWFxclNv0o0eP\npAXM8QI7GbypHR0dYX19HWazWVT+FFJWq1VhGQSDQSlmOTPu9XpYX18XS2+/34fL5RLFN38P9zg7\nHmxFDwYDuckT12w0GpFOpxEOh5FKpeR7YzQaJf/k+PhYnh96zbPZLGw2GwKBgHz/jEYjPvnkE1y+\nfFn2sd/vl64bC3x2Xmize7E+f/HnDkBeYMQh074dCoUkTff+/fuwWq0IhULy0gUgonO28SkkBZ5o\nR+hIYQeUYsSjoyMYjUaBgOn1eil2mTJLvdfMzAwePXokgkqj0YhkMim5EZVKRTIdqIXR6/XSHQWe\njOIODg7E/UYsOS2W1NJQa8PuHPem0+kU8TAR4Xz+bTabWCpZRPA9EY1GxdLZbrfRbDbluWEs+vT0\ntBQS7CAEg0GJGuAY82ddz0SDoCiKW1GU/1NRlKKiKE1FUR5+5p09+3v+jaIo6c9+/R1FUeb+Q59X\nr9dL5CYVphQTkYZFshRtjKPRSMR8u7u74i19/PixULf4zdNqtdjc3MTJyQkuXLiAXq8nszI+CGaz\nWZTgTHNk6//hw4fY3t6GxWKBy+US7y4PUdrIKPYi/pYvhqmpKZhMJuHdM4GMBxXRtvl8HjqdTghj\nqVQKRqMRJycnwjmg8IXMcyYGkrBF8SS/BmJrGT1K7CnnY2azWcYZbNNarVZ4PB5xOuzu7qJarcrD\n8LyvZ7WPc7kcKpUKXnnlFUxPTyMQCGBlZQU2m01SPDc2NuSlyjAh+qSHw6EwDCYmJlAoFGRcZrfb\nRVF9VszLg81sNiOVSgk0iK3WSqUiBWs6nZaQsc3NTQkk499Lh06lUpFbCpXrm5ubuHHjhjAGDg8P\nxT0RCATgcrlkHJZKpaR9evfuXVQqFREFrq2tIRQKyWGdzWaxsLCA+fl5+d5sb29jZmYGJpNJkLo8\nXKempnB0dCRRwJFIBH6/H/Pz81AURSzELJZ4e+z3+ygWi/B6vQgGg6jVas9ia/2Lrme1j3nO0B7K\nCwyF0ZOTk5iZmRErZKVSwcTEBBqNBu7fvw+1Wo18Pn8uO4POmA8++EBE5MViUZwBarVa8nN4Ds/P\nz8PlcsmNHYCMCubm5jAYDJBKpeSsDAQCCIfDEgZFkFi328WlS5fg8/lgMBiks8QXLtk6dCuEQiHJ\nIOHeZmeXxNCJiQkYjUZJaqQQsVarYXZ2Vi6qLLb5dbOLRh0FrfssuLe3t9FsNmUUR2YONRv9fl+g\nTDyrv8h6FmmORgAf4km++K8AKAKYB1A583v+FYDfB/C7eIL2/GMAf68oyvJoNOr++OfkGo1GiEaj\n6PV68Pl8CIfDgl/lS5hsbtq/6HHlDYK42E6nI4cHxwtsh7KiNJlMKBQK+NGPfoTXX39dqkNWmltb\nW7h06ZLoFcLhsOgZ2u22pDbSz017DJPCWEnSltjtdoWvcHR0BKvVimq1ivn5eaTTabhcLmGTM8yE\nVSo7G1T7ckOzGxEIBPDhhx9CrVYjmUyiWq1iYWEB/w97bxrbeH6feT5/ihQP8RBvUrx0i1JJKtWp\nqr7SSbfjxE6M2SBOYgdI3mQzO8AAwe6bncHOLJzNLHYRYJHZI9jMYAMY8YsEWduIs0lsx91ud3dV\nH1VSV5VKpYMSD/EQD5GUeEg8Re4L9fMdlcf2ojtW4vL2D2igq5vFUkk//v7f3/f7PJ9Hp9NJJ4Dj\nlVAohO3tbSwsLGBmZkaw08Q6l0ol6Zjw6z4+PpbUTLb9nuV1kfuYPyfifpeXl9Hv95FKpSRUiwAU\npg9ypFAqlXDlyhXk83lxMrBV32q1hPcxPj6O7e1tGI1G7O/vY3Z2VvQr09PTODo6QrlcxsbGBkZG\nRhAOh5HL5RCPx+F0OpFMJgUQxtGX1+vFwcEBotEofD6faIAePnwoqaRmsxn379+XFDkGl7G4V6vV\nmJqagtVqBQD52k9PT/G9730P169fl7asTqeD1WrFxsaGBK7RBsxOSzKZlI7J8vKyCLl4kVhbW8PE\nxATC4TDee+89GAwGeDweRCIRsewybj0QCEgWAwVkz3rc80XuY7pnmHBI6JfX68XDhw+RyWQQj8dh\nNBqxsLCA09NT7O7uIhgMStwx6X8EJpEjMD09LePRcDiMTCaDYDCIxcVFfOc730EqlRJYEFv2TJgl\na4Nj0sHBQWi1WikgtVqtJNT6/X5MT09LATw2NoZXX31V4EOLi4uo1WrY2toS3dfW1pZcFBOJhCQq\nnh+RmEwmPH78GE6nEwsLC9JRYHF9enqKN954Azdv3sTy8jIajQbW19clL4ccnXQ6LZA8Ps9u3rwp\n4+p79+4hHA5Dq9XC5/NBo9Fga2sLiqJgZmZGRnIf141zESOGfwUg2e/3f+fcf/t+CPTvAfiDfr//\nNwCgKMpv4Swc5J8B+Msf9sYmkwl6vR6BQEAwwaVS6anNRa+sx+MRTCY929PT0yLyMJlMQtPi7b3b\n7QpbXqfTiWbhueeek5mn2+1GuVwWmEUkEsHAwACmp6dhsVgkJKrVamF7e1uioaenp+VGr1arMTY2\nhlqtJoJHAHIbHBgYEFWw3+9HNptFOBwWodfp6Smq1apYbl5++WWcnJyI84KK9VKpJJGkw8PDWF9f\nx9WrV3H58mUAENwvLTZDQ0NCi2Qxdv36dSkA+v0+IpGIfK8ZEpXP559Ceo6OjiIWi/3YNtQ/0bqw\nfczWd7/fh9vtRi6Xk59voVDA/v6+AF5efPFFNBoNxGIxFAoFTExMYHd3Fz6fT1wOFotFiIXf/va3\n8Wu/9muiPeAtjGyPXC6HUqkkLoKpqSlUKhUcHBygXq/j+vXrkndCxj2FZLlcDjabTVqjRNG+8MIL\nePHFF+F2u3H//n3odDrs7+8DANxuN6anp1GtVrG9vS1UT7/fj1wuJ5khu7u7Ahrj4Ws0GlGtViU2\nt1gsIhqNYmxsTEhxHo9HdAJPnjzBzZs3n3J4OBwOQez6fD7ROwwMDODy5csisiNtb2NjA7VaDaFQ\nSESXFMI9o+vC9rHb7cZzzz2HYrGI+fl5uFwuDA0NQaPRIBaLSXv88PAQ77//PhqNBgKBAHq9HhYW\nFrC9vY3R0VHkcjk5985nhZCYyYJve3sb6XQaoVBIRIjsdNntdrFgM8eg0+lgb28PWq0W+XweExMT\n8Hg8+M53voNr165JPD2j7sPhMJ577jl4PB4sLCzg8ePHyGQyODo6EpdOtVoVZ0AymUQgEEA+fxaC\ned4qr9FocOnSJTSbTaytrWF+fh7PP/88/viP/xhzc3NwuVySadJqtWC32zE3Nydf597eHvb29lCr\n1eD1erG6ugq32w2Xy4X33ntPchh4Seb5n0qlRFd3Hn/+cWPLL2LE8MsAVhRF+UtFUfKKonygKIps\nTkVRxgB4cFbRAgD6/X4VwPsAbv+oN6beoNfrIR6PSytnb28Pm5ub4hjo9/t44403RPCh1Wqh1+tx\n7949ZLNZrKysyMyrVCohEokgGo1KqiNv06wcFxcXRQy1t7eHbDaLbDaLUqkklSlZBSQZlkol/OzP\n/ixGR0fFd815sdvtlmKDSXIk0/n9fkEWj46OYnV1VehbFGBREOn1evH888/j4cOHQtszmUx4+PAh\nEokEfv3Xfx1LS0tYXl6GXq/H5cuXRRC3tbWFDz74ACcnJ4jH42g2m6hUKrh165YEiHBO7PP55KDm\niKHVamFjYwOPHj2S2bjVasWLL76IeDwuYVXP8Lqwfex2u0U38/jxYwwNDeHRo0fiiiER0+12I5lM\notVqodPpoFqtwmQyYXR0FDs7O0gkEpJBTyLhL/7iL8oDPpvNymGZz+cRDAbxS7/0S3KYU2PCApuz\nU0aLezweZDIZvPXWW+h2u1haWpLkUQbfkGJqtVqxsrKCcrksdkhy+ldXVyUWnHPjTCYDj8eDcDiM\nGzduIBwOI51OA4DohRwOh+SfsIul1+vx2muvQaVSwWaz4bXXXpOQs8XFRZTLZcRiMezt7eHtt9/G\n/fv3oSgKJiYmpAtyfHyMYDCIdruNDz74AJubm9Il0ev1EmQ2ODgovIZneF3YPv6rv/orvPHGG4Jz\np9uEe4OMGTIsSNes1WpIJpOYnJxEIpHA4eEhxsfHcePGDWF7eL1euQTGYjE4nU689NJLcrHb39/H\n8PAwRkdHRZCn0+lw48YN2QOHh4cyztPpdKJzGRsbw3vvvSdn/Ve/+lVkMhn5upnFQKF5s9nEc889\nh6tXr+L27dtQFAWbm5sSPmaxWMTy3u12USqVkEqlUCwWUa/XJZvnj/7oj/CpT30K9XodDx48EKdB\nNpvFo0ePkEgkZOxC67nX64WiKLhy5QquX7+Od955B3q9XjpzJAgT969WqxEOh+X3EWDFEflHXRfR\nQRgH8C8A/C8A/kcANwH8b4qitPr9/ldwthn7eDp7HB/++kcOrt1uN4xGIyKRCAwGA9bW1uD1esVW\nk0wmZa7k9XrlBh0MBvHw4UPcvHlT/OepVErIgRMTE+KEODo6wvb2toQRLS8vY2VlBel0GpVKBeFw\nWKJ1R0dHYTKZsL29LYwCVoUajQZra2tyMIZCIbkJWq1WObB5SzOZTMLLt1gsqNfr2NnZwcTEhIw7\neJMHILCPwcFBjI6OIpFIoNlsYmJiQmAld+7cEZ1GtVoV7QIrXH5oSY+jvYyCF7bneFN1Op2YnJwU\nRCiBOERKt1otvPnmm2i1WhgfH8edO3d+zFvrH3Vd2D7e3NzEzZs30Wq1kEwm8eUvfxlXrlyRgBmC\ne+hg4X7nrXp7exuhUEjsgmTbA0AoFMKbb74Js9kMn8+HpaUlmVNqNBoRODJ3odPpYHFxEffu3UOn\n04HdbsejR4/E6RIOhyWcibkOZHWQ+/7666+LzZg3vs3NTfkc+P1+lMtlyT6h6MvtdmNlZQU2mw1H\nR0fwer0AAK1Wi1QqhVwuB4/Hg3Q6LXa009NT/Oqv/ir+4i/+Ardu3YLD4YDBYMC3v/1tjIyMiBiX\nf/9MJgOtVotCoSBpkXxPrVaLq1evCrKatMmBgQEEAgE0Gg3RCz3D68L28QsvvIBCoYCBgQFsbGzI\niLJcLqPRaCCTyaBcLsuoiAFMJFd2Oh1JUGTWCIthWlrZJfrWt76F1dVV/Mqv/Aq++93viv2a4lqG\nG8XjcYyPjwtLhmyRbrcrrX2dTofr16/D7XZjbW0NJpMJw8PDgvE2m80ygshkMpIZ8f7772N4eBjh\ncFg4NnQmkPZIQNKlS5fQbrflskQLZqFQQDAYFI0AM1GoeSkWizg4OMDu7q4IGROJhADQxsbGkEql\nsL+/j+3tbRHaUgNxcnKCd955R3RlNpsNExMTwk74qOsiCgQVgHv9fv/ffvjrR4qizAP4rwB85R/y\nxm+//TYWFxeh1WpFDHdefU/XwNramiS0LSwsoFwuw2QyCayDsbCMTY7H4+j1ekJE9Hg8aDQaCIfD\ngnR1u93yOjooVCoVSqUSLl++LDeN8xAhl8sFl8slrSJGkrbbbfG72+125PN54ZOTj8A28MjICJrN\npniBaddiK7/ZbKLdbsPlcgGAiMbYKbDb7dJ2MplMmJ6eRjablcRIgqOWl5dRq9Xwve99D8PDwxIa\n8pWvfAVf+MIXhCXBFDKdTifirnK5jNXVVUxOTkr79+jo6B/yo/5JWBe2j0kmNBqNEtR1eHiIx48f\nS5YAkbVMrXvttdfwqU99SuKdKWYkjIUK7lgshtnZWelmpdNpHB8fS1KjRqORA9vj8SCZTCKZTArS\n+eDgAEdHR3A4HKhUKqKSPjg4kBRFBhqxjcoIX41Gg3Q6jfHxcdy8eRO5XA57e3vodrtSQM7MzEgH\n5fXXX8fY2JjYi4maTSQS4uihsJY2Wlq5XnnlFVGas43MkLRqtYpIJCIt5W63i7/+67+WhwuFjL1e\nT26XLM7Ik6jVagJle8bXhe7jqakp5PN5vPHGGyiXywgEAohEIshmsxIzv7m5KSOvubk5HB8fS9ic\nzWZDsViUzoHT6RS3AEXaT548wYsvvohyuYxEIoHp6WlEIhGBu/G2TKGiVqvF7OwshoaGEI1Gce/e\nPYyNjaHZbGJlZQVGoxGLi4t455134HA4MDExgVarhXg8jna7LWfynTt35OLE7gBpusFgUNDf58cP\n3LcPHz7E2NiYuOI6nQ5CoZBoX6iF4+VMURQBL/FCSMDXq6+++hTm3Gq14tGjR1hcXBQX2f7+Pkql\nkoRjEdm8vb2NX/7lX/6JsjlmAWx+33/bBPArH/57DoACwI2nq1Y3gAc/6o1pIeTDFjjL5b59+zbS\n6TQGBwfx7rvvinWPgrxIJILLly8LXZHxxwyuYS44AzKmp6eF8MXY2W63i3A4LKKx89zuZDIJjUbz\n1AaiuInYz3a7DUVRRCxJ4Uwmk5GIZgZ3UL1er9exvr6O8fFxzMzMyHv2ej2pQslFsFqtcuCxWnW7\n3bhy5QpisZgIHqPRKKxWqxy2/BDmcjnEYjG4XC6x0RSLRVy9ehUPHjxAIBDAxsYGwuEwarUaJicn\noSgKyuUyIpEI1tbW8Pbbb2NgYEAS+Z7xdWH7OJPJ4Otf/7q4AgBgfHwc8/PzIltZD+IAACAASURB\nVACkIJbdmitXrkjMttlsFlDK+ayPeDyOmZkZCal5+eWXJReDbADaAGnVrdfruHPnDtxut1jDGJwE\nQHDfFE5NTk6i1+shFotBpVKJg6XVakmc71tvvYUbN27A4XDAbrejUCgInMbtdsNgMCCVSuH69evI\nZrOIx+Myy43H4yKAZZwtfd0ul0tSRwlk8vl8iMfjeOGFF1Cv15HNZp/qwBBAtby8jFAohMXFRVGi\n9/t9NBoN5PN5GI1GxONxEQl3u12x9T7j68L28erqKhKJBLrdLlqtFr773e8iHA7j5s2b0Ol0ODk5\nQTQalY6ASqXCnTt3JAEynU4LdTAcDqNYLMrDlsAqslvGx8elDc9sh8PDQxHmcX/y7GUcONNm9/b2\nYLPZ8NJLL2F3d1cKASaZdrtdcYnxrGbWDTVgdL6srKwIFt1qtUqeD3VpdK9tbGwgn89DpVLh6tWr\nODk5EYcMKYfFYlHOYWp0RkZGZATOzxd1R4xev3XrFvr9PnK5nJBsrVYrVCoVXnvtNRQKBdElRSKR\nj31hu4gC4S6Ame/7bzP4UBjT7/fjiqLkALwCYA0AFEUxA1gG8Mc/6o1feOEFuTU3Gg2Z9x8dHcn8\nndQssg1ILyyVSqIVICvBbrdLS6ter8Pj8aDdbiOTycgMktkGPDQYzclZMbkBPMDI1rfb7Wg2mzLT\npYqUOFiq1vmwJ4QJgIhefD6fIJvT6bSITeiNNxqNEnrD1jTb+2wBv//++1IQkEJZKpVgMpng9Xrl\nFkswjtfrlY5GpVLB/Pw8yuUyNBoNLBYLksmk2G5KpRIMBoMklRH3bLVaEYvF8LWvfe3Htaf+KdaF\n7eMXX3wRU1NTKBQKQqAj4peHRqlUkvb24eEhPB6PZF1QD8JgGP7a7/cj8WHc8ssvvyyaBgK9aLFi\nTDNR3leuXEEymZSMh3a7DbPZ/BRh1Gw2IxAIAAASiYTsv+PjY2QyGUSjUUxOTuLg4ACLi4vIZDLS\npTo9PZVQM4qCnU6ndAN6vZ4UCmNjY5icnBTBLf3hw8PD0Ol0kujIDt3W1pYc8ufxvtznJK7WajV8\n85vfxK1btySPhBay+fl5HB0dYXFxUcZ9u7u70jn59re//WPcVv/o68L28fLysuCsw+GwRD7v7u6i\n2+0CgDi0hoeHhR2gfIi/ZuARrZHUOh0eHiKdTiMej2N0dFRyZXZ3d1EsFqWryqRTXhA5Hj0fLMfA\nLUYt6/V6sWBTz8WunMlkEgoo0fT8vCQSiacCofL5PDweD8xmMzqdjiD6ecnjZ8dsNqNWq2FnZ0c4\nMYFAQHglAKT9zwRMAMLAIXiKXW1+7dFoFGazWWBOFotFuhxLS0sSHaDRaLCxsSHj34+6LqJA+CMA\ndxVF+dc4U8AuA/gdAP/ludf8ewD/RlGUXZzZav4AQBrAN37UG1erVbn9kBdfrVah0+mg1+uh0Wgw\nOzsrNwkqXWlvyWQyMJvNODk5kXQ8YkKpfDabzTg4OEC/35cshnw+j1arJa9Rq9WCXs7lck+hjXnI\nm81mFAoFuFwuOSxHRkZkJkpiIRW7vV4PXq8XuVxODsNSqYTl5WUcHh4KipT54/wQnPehc1PE43Gx\nC+3t7eHw8FCsbJxHt1otZLNZKXxIlqQFU6fTwev1olAoyN87EAjggw8+EN632WyWW7BKpZKCbG1t\nTTb/M7wubB9zDs7wJbZFadVSqVRCC2XKoKIoEvBCSFexWBQ7H6FLJMONjY0hHo9jZGREilXGLtNL\nTi0CX3N0dCTJnAAwMjLy1LiqUCjIw5oBZ0dHR7h27ZoAl2hHZLF4dHQk+4+AmXK5LDoYsgfUarXE\njT958gRmsxlarRa1Wk2+N16vF4lEQjQ1ZJ4QGU4iKhP4iNJl8Z/P57GzsyOjPY7ImJxHD/3g4CBs\nNpv82c/4urB9zIeXw+HAxsaGzMDJI6BwsdlsolarYWRkRPbX9PQ0njx5ImdvJpOBz+eDw+GQ5FvC\nwdrttnAWXC4XYrEY7HY7hoaG0G635Z9gMCjJu8xQODo6QqPRwMzMjPBm4vG4ALTo3tJqtZIhwvFe\nv98XcmGlUsHU1BR2dnZgsViEFsucHJ7vRqNRbPWMrx4dHcXe3h5arZaA99gJpOuMFkvqKQCIm4xg\nO7J5Tk9PkUqlUKvVYLPZJBWW7BzC0Pj/+T35OOvHXiD0+/0VRVH+CwD/M4B/CyAO4Pf6/f5fnHvN\nHyqKYgDwHwAMA3gbwC/+KM8tAKmQbDabII75gAyFQiiXy8Kxr1QqIsRLJpMSyUlCImes9J2SnkZK\nWzQalY0NQKxWDFYaHBwUCIXX6xWaIdGcTEo8OTlBOBwWVgFw5oNnrgSxuZx5Ej17notgNBoxPj4u\nTG2/349arYaDgwOxQ1KTwc5GNpuViGcAUKlUSKfTwixngVWr1bC/v49arSZ8ewZY7e3tYWFhAcfH\nxzg4OECr1cLo6Kh8gNVqNfL5vCBvOcaoVCofWzX7k7Iuch8z90Kj0Uh+CNuUAMQC+eTJE+TzeRgM\nBtlnGo0GPp9PCsmDgwMpYEdGRmAymWRkVK/XYbfbpaDmg15RFIG/8M9kgNTw8DBOTk6ws7MDn88n\nRYqiKCgUCnKLYYgX983IyAjS6TSuXr0qlthHjx5JNofBYEAul0Ov10MoFJLWK2/x5XIZU1NTTxEm\nNRqNhFRxtjs4OCi3J8KYODak3bHb7UpC5v7+vhQgLP7tdrtE4dKtRBwzAMl60Ol0iMfjP8Zd9Y+/\nLnIfU9TJm/rBwQGazSaOjo6kQCRl1Wg0YmRkBHt7e5LEWKvVUKlU8DM/8zMoFovIZDJyDtvtdnHj\nHB4eSmbH+Pi4FMuNRgNGoxG7u7sYHx+XP7NSqUgGAQPqCAuitoEPdVrcScTlPz6fT1w8xDRXq1V4\nPB7s7+9Ldki9Xhf0OEcVLFr5GVOr1VhaWhIA2fT0NJLJpIyknU4nSqWSdICpj2EKI5HV+XxeGCUa\njQYTExMAzjrOdCLRGkprLkdqH3zwwcfaPxeCWu73+38H4O/+P17zJQBf+ijvyyjPcrksN2+VSgVF\nUbCxsSEPLVaEwWAQ29vbwrQuFAqw2WwwmUxIp9NyaHLuTy62oihCaKNwimlvT548kcjSgYEBYRbw\nFtjr9bC7u4vj42MRglWrVbHs1Ot1BAIByTq3WCy4fPkyFEWRrHBCjjhjJQaUFD1agChwa7VaCIVC\nODo6EnELAJkNUwDW7XZFjMnoaaJNeetk+BR59KzA+SCx2Wzymmq1KkFV/BACEGHOs74uah8zyMvh\ncMBiseDJkyfSKuTskQUWo8tJ/4vH43j06BH29vbERkjnDmN2ibH1+/1i9aVAUVEUaLVaceLw82K1\nWuXnxu5arVaD3W6Xfe12u0WMS2oebznNZhNf/OIXpYOwsbGBSqWCaDQqiG+yRPr9Pvx+P959910E\nAgEpdOju8fv9ACDzac6XaYP0+XwwGo1QqVQSdOXxeOR7yL9fqVSS2xPbxXQJ8aJwdHSEer0uyHXC\nzYaHh0Vh/qyvi9rHuVwOwWBQOpLndVB6vV6KTbbHyRxg99Ln80mMuUqlkmAxXsB0Oh0MBoOo8Tc3\nN5HP54VWWKvV5NZ8Hj5H1w1t5cR27+zswGazodPpIBwOCx+DVsyDgwOYzWZcv35dWvm8QLEYYdJj\nJpMR0qbVaoXRaJQzmzquUqmEYDCIer2Oubk5wSh3u13R0s3Ozsq4rNPpCNq81+uJsDeVSgnb5s6d\nO4KArtVqEpNNIjDD0BwOh1xU6/W6EHQ/6nqmshjIvR4YGJCHKA9Q+lDVarXM+anupspzaWlJFKNs\nHR0dHaHX66Fer+Py5cvQ6/Xiva5Wq9KWHxwcFI8pZ7WM2aXd0GazYXd396mc8UKhALPZLOMNtVqN\nXC4nCYxMq3O5XDg4OIDL5ZKsiXA4LNHRW1tbCAQCCAaDIgbTaDQoFouixyAmNhAICKmPyX71el2E\nafl8XtwWJpMJRqNRDmG2VaPRqNxEz0f/qlQqCe1hFgYFRXzgDA4OyiH/yfrPF1uEVNOz86MoZ2FK\ne3t7IqAlNZAWP7ZdmchIngYfcu12Wx74/Axw7s/2I8W1PPRIEuRn4Hvf+x6MRiP29vZkz9ACzBas\n1WoVn/vMzAz8fj+uX78uITPMpueNil9fNpsV9xEfBnq9HiaTSWyXtKIxdZFBVvw+8CHO8eLx8TEC\ngYB0G/r9Po6OjqTDp9PpMDY2JsmsxEqzw0Y0M2N5iZ7W6XQIBoP/1NvlJ3ap1Wrp5u7v74tzjCFZ\n53MQ1Gq16KB0Op0klNpsNqTTaYyMjEi3jJ1hlUqFQqEgQr6xsTEUCgV5GLJTydFQvV6XMKdKpSLF\nrcPhkK4WL3sEMcXjcRk99Pt9zM3NCSzp+PhYuhH37t2Dw+FAoVCQWzyzHAYGBpDJZKAoihTYvGQx\nxpqX2v39fXmuMJiNBQ21bf0PA/BOTk6kOGK8AJ1pvNhR+H5yciIjE/JrKHRnN/DjrAvJYrioxXlU\np9NBoVAQ8mGj0UC5XEY+n0cmk5HELR5KQ0NDwhYgP4CRxSaTSehYAOQgpXiGcyYAIu5jVcgDi7cy\n6gs496EVcHh4WKJ0eRs833nY39+XDwcPWJPJJEQ6h8MhH6jzaltutnq9LiSyXq+HaDQqEI2rV69i\nZGRENt/+/r44QBgnbTAYpDXIG2D/w+hnIp2JVY1Gozg+PkY0GhWlLAOo7Hb7U3nkn6wfvNLpNHZ3\nd+XGRacLGQM8NHw+n9zE+v0+Hjx4gHq9LmAkhoLVajURLfIG9fjxY3S7XayvrwvKeHh4GIqiCIVT\nr9fD5XJBo9FAo9EIwZDjuFgshvX1dSkuNRqNwIp4CwqFQrDZbHC5XBIg1el05Pbu8XjE4dNsNhEK\nhaDX6xGPx+Uzw88yHQoUe1HLwE4bLZHnaYjkR1B4SH0Fi2y73Q6bzSa3wNHR0afGk5zTshNH8SIF\nlR/XP/7/h3UeWsRCrtlswul0wuPxQKfTyXnQaDSkIzs1NSUjHOpwqB/JZrNot9sy9slmsxJ7PjQ0\nJA9JCmzdbjcASHes0+mg2+1ieHhYOl92u12cAnQCVatVGSMw/2Z2dhbXr19HMBjE0NAQXC4XFEWB\nyWTC5OSkOGTYna7X60gmk+j1etje3kaxWITT6ZRxIff38PCwjIzZ/eI5Tst7s9mEw+GQS1i5XJa/\nBzNzEomEuOfYiaDujF0VjUaDo6Mj7O3tIZVKSa7Ox93Hz9Qp7vf75cb6/aIMqr/dbrcctuwo6PV6\npFIpIX5VKhXJC/B4PJiYmIBGo0Eul3sKqKHRaLC/vy9CElp3mHXA23I+n5eCwe12C8M+FoshkUig\nXC7D6XSK+pvKV7aH0uk03nzzTcRiMZycnCCXy0kK2ODgoAiz9Ho96vW6pOBR+DU1NQW/34/5+Xn4\n/X4MDg4KSIf+enLsTSYTHA6HWIPS6bTEhZJpTtcCyWKFQkHm5fzesn1oMBjgcrkknIVaBI45Pln/\n+QqHw3LrODw8FPvu8fEx4vG4QFMYOUvBKR0rDGxhvkEul5MbUq/XQyQSwaVLl4Qj4Pf7JamQmG4+\nbM1mMxYWFqT43NrakiAmh8MhgUYWiwXhcFgyH3q9njzYa7UaVldX0ev1kEgksLq6ilarhbW1NRE8\nWiwWCbDhqOv09FTaq0QbkxRJvQ+59g6HA2q1GhMTE6Lv0Wg0yGazUBQFmUxG5t28rZKuCkBGCfF4\nHCaTCRaLRTIiSIc8PT1FMBgUrQSFx5+sH7zW1taQSqVEUAhAZvgcQzocDkkb3N/fx8jIiFzs/H6/\nzOFZ3HH2XqvVMD4+Do/Hg1KpBI/HIyyMYDCISqUinQhiynu9nnSWCHBjh5ZjZ6bhKooiSZ0ajQbz\n8/NQq9WIRqMC5trf34dOp5NONbtM29vbyOfz8hlkMii7T61WCwcHB0in0xgaGoJOp0O73ZYR7PHx\nMba2tuDz+TA6OopAICBBgRsbGxKC1uv1ZKTC0TGx/MFgEPv7+4I85zOjVCqh2+1iYmICly5dgtls\nxszMzMe+sD1TIwamaZ1Xn7JlSPwr8+gHBgbw/PPPY39/X7Ln2+02xsbGpONAcVitVpMM8ng8Dp/P\nJ4EeBoPhqUhczsJoiWGLlC2hSCSCdruN69evy+FjMBjkcEulUjLvpfgql8uJsrpWq8FoNKJQKCAS\nieAXfuEXJNqUdDKNRgOr1SriQMaCMtRmeHgYVqsVDodDbvYqlQrJZFKY3XyP88jO84r15557Do8f\nP0Y4HMb+/r4w0sniV6vVCIVCCAaDIuQ5PT2VaO2fAvX3hS3ut8PDQ1gsFni9XjQaDblJMakUOIs4\nPzo6gsfjwebmptyMGAduMpkEBsRUR9q0Zmdnsb6+LuImagoYiUsrcCqVQrPZhMViwfb2Nm7cuIH7\n9+9L5ymVSiGTycDr9UKtVgvKlgX7W2+9JYc4RZDr6+sChCESvdFoyNd369Yt6PV6fPOb38TVq1cl\njCeZTEpRwth2BvOYzWa43W6sr6/j8PAQY2NjWF1dxZUrV6S4oA2Un1Wr1Sq2RZ1Oh0AgIN9nwmR2\nd3dhsVjQ6/Wws7ODeDwu3ZTNze9HCHyyuJ577jnodDrodDqYTCahKvJmWygUMDQ0hFqt9lQaIUOU\n7HY7Zmdn0e12kUgkhFLIAmJ9fR0OhwOXLl0SwaxWq0U6nYbf738qxXRoaAjZbBbT09Ni/eW4eWNj\nA4ODgzKXv3LlCnw+H958800RO2azWTSbTcmToW2TnAfGWJvNZgwODuLRo0fyuaWOgB2UUqkERVEw\nNjYme79er+Px48e4cuUK+v0+lpeXAZx1xcvlshRaFosFFotF9jIdFCxqCBvb29uTrzGbzcLr9cLr\n9SKTyaBSqYgAfmRkBPF4XMLePup6pgoEemntdruw46kloB3s6OgIwWBQHraHh4d4+PAhut0ubt26\nhe3tbWxvb2NmZgbRaFQEVgQlOZ1O8bvSPuZ2u7G9vS3z30qlIiMEBjsNDw/Lja5QKODo6AhOpxP5\nfB6PHj3CjRs3YDAYBLZEUQzb/cTomkwmrK2tIRQKYWBgAH/+53+OV199FYODg0in09JyUqvVgtuk\nSC2Xy2FqakrafuQUzMzMiGiSBUWpVJJOBMWa1FQQt0t/fbFYFDUwK1tu4kgkgnQ6Da/XK1afTqeD\ntbW1f+Ld8pO7YrGYtLqpBeGNp9/vy9yy0Wjg8PAQExMTEp175coVvPfee+LmYUu3Xq8LQvzatWvi\nodbr9ZIjzxEXi2oWEiTeORwOOBwO5HI5CTgrFosIhUJPQbvYxtRoNFIUAMCf/MmfCDZ5dHQUAFAo\nFKRTwiKBc9x8Po9XXnlFPkPr6+uw2+1iv+U4hRqEk5MTdDodXLp0Cdvb23C73Xj11VdRqVRw/fp1\nrK2tCaGPXBQWvNQu0VLM/U43Eq3SdrsddrsdDodDhJMksH6ynl6RSASf+9znpGVPQBDJrg6HA/F4\nHC6XS84trVaLmzdv4k//9E/lTOXMnZ8H7ltCtWw2G1ZXV3F6eor9/X3pRHFUxj350ksvSRFKvobf\n74fb7ZaOUjqdxszMDDKZjLiuiHimtiYWiyGZTKLRaAjjJhaLwWg0IplMwmQyYXZ2FjqdTm78NpsN\nCwsL2N3dRblcRjAYFDYHUxpfeOEF6bYZDAbRFymKIiNojkwYcc3PC/UcV69eRbPZlE4g4wAYmU09\nBXUbpVJJUlg/zlI+bgzkP+ZSzrLLV3/zN38Tk5OTEoHZ6XREHUsB38OHD+WHS+vL8fExrly5glKp\nJA9SPsCHhoagKAqMRqO0IzkPi0QimJ2dlcO2UqnA5/Mhn8+LG4Lxs5VKBSsrK5icnITRaEQ2m0Wr\n1YLH4xFgDRW1fGA3m025+VB1TUiNyWTCnTt3YLFYpCJ/6aWXxCdfqVTQaDTE4jg7O4tgMIhIJIJa\nrQaLxYKZmRmsra3J4UjRCosoujsYzMQ5MK2Qx8fHYpecnJxELpfDzs6O2PAYKsKbAAmVyWQStVoN\n3/jGNwDgWr/f/3gem5+yxX384osvwm63IxgMiiCOCGPeBghbofefSaV0u5yenmJkZESYAowmpmXr\nypUruHv3rmhZcrmcdIuoEgcghzDFkiaTSXIQiDHW6XRwOBwCInO73bBarfjWt76Fqakp3Lp1C/F4\nHO+//z5cLheWlpbQ6XQkDIxOgna7jfHxcezt7QlHJJvNSruf/nLGj9OyW6/XMTIygmKxiGAwiPv3\n7yMUCknS6vr6OoxGI4aHh1GpVCQV0Ov1wmw2w2KxSEtZp9NhZWUFdrsdPp8P7XZbEviofKfrgvS/\nv/zLvwQ+2ceyuI+/+MUvwuv1YmtrCyqVCmq1GpVKBTMzMzLGzGQyosxnG5yBWFT6s5PrdDrx4MED\nzM3NYXh4GIlEAmq1GrVaTcYYu7u7kj9TLBYxNDQk0C6Kt4le3t3dxfT0tPBc2Dmltf3o6Agmkwm5\nXA7tdhsTExMIhUJ4/PgxLBaLjFUPDg5EAEzUPVN6zWYzgsGgkEoHBwdFULy3twe32y3ndiwWk0Ar\ni8UiFnG6DZLJJKrVqkRHF4tFOZ9JaXzjjTfw+c9/HltbW8L+6XQ60m3jcycYDGJsbAyJRAKdTgex\nWAz3798HPuI+fqY6CJVKBZlMBp1OR3ysnHVXq1W8/fbbYlean58XNj29tycnJ5iamkIoFJK56/Hx\nsfABqNQeHByEz+fD0NAQdnZ2YLfbhUvvcDhwenqKbDYLt9uN4+Nj3L17V1Slh4eHcLlcGB0dFbUp\nBYXT09PCzmcICQld3W5XYqgHBweRSqWwsLAgN6eJiQlJoZyYmJBWc6fTQSKRAADxfnc6HSGO8ev1\ner14//33xS/f6XQEwLOzsyPizsnJSdFolMtlLC8v41vf+pawJkhGYw4AXRfvvvsurl+/LrkPn6wf\nvubm5jA0NIRIJIKxsTGZj3JuSyohXQPVahVvvfUWXn75ZTQaDXi9XnQ6HTx+/BgA4PF4RGdA/nws\nFhMcNmOaLRYL0uk01Gq1RKdbrVY0Gg0ZKZAkd/XqVRQKBdy+fRboV6lU8OjRI/Gla7VaOJ1OxONx\n4Spcu3YN9+7dw8TEBCqVCuLxOF566SUZYdDFQ5EaAOzs7IiOpVarYWFhAclkEtFoFCaTCf1+H+Pj\n43j33XcxMTGBra0tAUXdunULKysr6Ha7Ah8jQS8UConDKJ1OSzz22tqaqL8peK5WqwAgIwdqbBiy\n88n6wYvBdJ/+9Kfl58AHdj6fR6PRgMFgkPb93NwcDg4OEI1GEY/H4XQ64Xa7USwWpY1OsBz3GpkW\nxNNPTU09tf9qtZqIpr1er1gMnU4nnn/+ebkQdrtdLC8vo9FoiCPM5/Phq1/9Kvx+P2ZnZ1GtVnH3\n7l35/SzaeZFstVq4evUqHj58iFQqhc997nNiaeeeZBHM7len00E6ncbKygqWlpZw9+5dPPfcc6jV\nasI5OB8eyO5HJBLB6OgoHA4Htra20G63sbi4iHA4jK985Sv4jd/4DclRmZubE23d4OAgZmdnRWxP\nizsD0j7qGvjSl7704901F7B+//d/3wvgn9vtdoTDYbGI+Xw+DAwMoNFoSGpcs9lEoVAQ3cDt27dh\ns9ngdrtFDENQUK1Wkwcd50RUjrIqOzo6EmiLy+VCtVqVyi0SicitvNVqwe/3w+l0QqVS4f79+08d\nPhQxcixA1S3taMAZt2Bzc1NuVHfu3MGnP/1pRKNRaT+VSiXUajWk02mxIhqNRnko08bj8XgQCASw\nubkJtVqNw8NDTE9Py82O9jjeXpnOGI/Hsbu7C7VajYWFBWxsbGBxcVFCfDgjJgOd8CmS9qhaPj09\n5fz2P37pS1/6pEeL/7SPees4OTmRmGwKo85DqLrdLjKZDHQ6nRx8Pp9PcLIUzHI2WSwW5XPBvAa+\nP7sC4XAYJpNJop2z2awAsajqZmF848YNmM1mRKNRGceR6jY9PQ3gjAq5tbUlYtbJyUnBfANncDMe\ntqTb8UDc3d2V0BvueYLByE3gZ21gYAB7e3uihnc6nXj33XcliIaCN1Ib2f26ceMGLBYLCoUCQqEQ\nQqEQ1Go1RkZGxEfv8XjgcDjkzwsGg5LqSJY9PtnHsriPFxYW8MILLwjhttPpSLIgGSwOhwPZbBal\nUkkehpyjd7tdvPPOO5KZw/wEiuwYkDcwMIDR0VF4vV5xptGZQljRtWvXoFKpEAgEhF1BCBft7NFo\nFBqNBru7u9IFHh0dFeE1XWfsQiwsLKDX6yGVSmFqagoOhwN37twRKyYt4txrFE1Sj0a7fDQaFZ7H\n2NgYHA6HWDI5QmDKMJ0hTDZ9/fXXoSgKFhYWkMlk0Gg08PnPfx7RaBRTU1Mwm80YHx+XDjeLiUaj\nIeF+5Jt8CE/6SPv4xz5iUBRFBeD3AfwmzuJC9wF8ud/v/7vve93/gDPk5zDOeOH/ot/v7/6Q97wK\nYHV5eRmLi4vyYWe2+/HxseCB9/b2RNDC+NpYLCaH7szMjIAz1tfXcXBwgEuXLol4hglaHo9HVPnl\nclkOYoKMEokEcrkcvF6vVGhqtfqpVidbPKVSCQMDA+I1V6vV2N7eFnQoqVtsw9Khwa8jk8lAr9cL\nW5tFh1arhdFoRKvVeopdz81mtVpRLpdFlHXt2jXRV5BWxxltqVQSLHWv18P8/DyKxaJoFtxutwRL\nhUIhAdWweGJACivpUqmEP/uzPwOe0dbsRe7jz372s2JPYtfHbDaLyIhCr1wuJ7d63niMRiOi0ajg\nmIkPpiZkZGQEBwcHKJfLuHz5Mu7duwej0Yi5uTnp/JB/AEAe+vw5bmxswGw24/Lly2KXpMK/1WpJ\nl2tpaQk7Ozuix+HNe2JiAo8ePYJerxciHtXnxWIR/X5fRlp+v18ixxkoQywt2QREQe/v78NoNMo+\np6uCCHKOu7xerzzceSiXSiX5bJOb0mg0RDBM7Qftkiykjo6OUCwW8frr3+rczwAAIABJREFUrwOf\n7OPzr70KYPV3f/d3xfFErPLQ0BBWV1cxMDCApaUlYbWcnJxgeHgYDodDzjm32y0ze5/PJ/oTWiAZ\nFOZwONDpdLC1tYVgMCgxyCxI6Pjq9/sYGBgQwqPH45GQo2w2K5C90dFRPHnyREZnZrNZcmiSySR2\nd3dhNBrlskWNSjwex+XLl+FwOLC7uysiReA/UX5NJpN0q+LxOBwOB/b29rC/v4+ZmRkYjUZEIhEp\ncgmio31yaGhIcneoyeAojN0S2j3VarWwUMrlMtbX1+UMoHWa2P1ut4uvf/3rwE/AiOFfAfjnAH4L\nwAaA6wC+rCjKUb/f/z8AQFGU/xbAv/zwNQkA/w7AtxVFmf1ReE+9Xi+3DXIBarXaUwcKWys7OzuY\nn5+XQ7bf7yMQCEhnoNVqIRAIiJiGaVcmk0nmYhTjra+vPyXIKhaL0Gq1WFxclFlbPp9HoVAQ64vT\n6USxWJT5ltvtFovK4OAg5ubmYLFYhFDIeRcDm6g2J/aTtkrOvSgGI0VLp9NJWqXNZntqdre8vIy1\ntTVBMPf7fZmhnZycCICHbTwAYrHkbZWz7sXFRXl4AWeWnbGxMQCQjsnw8LBYep7hdWH7mOJaivt4\ne15fXxc2RqlUeop82Ov1sLGxAafTid3dXfR6PRlZXb16FQMDA8hms9ja2sLly5dFKEoWAaFFly5d\nktAbOk3q9boUn4uLi6hUKsjn8wKmuXTpkrA7SMF78OCBiNOOjo4wMTGBXq+Hvb09BAIBOfCY6Eer\nZrPZhFarlbEbCyKNRoOlpSVkMhl5ONOG2Gg0MDAwgEgkIsItPky2trYwNzeHRCKBkZERPHnyBFqt\nFoFAQEKhaH/OZrPw+/1QFAX5fF5uacPDw2JDI5sCgHBAnvF1Yfs4EolgZGREHCEOhwOZTAa9Xk9G\nRnq9HkajEQaDAZ1OByqVCtlsFoODg5Kc+95774lwWqvVimaKmjASLqkTYcjdxMSEjFR5XhaLRYFj\nkRhLbVc2m8Xi4iJqtRoWFxdF6EcrOeO+VSoVisUigLPzjZchhv6RRnv37l3pGFNHUCgUsLKyIt8P\nXkYZchcIBGSMzK4zUxxp2/f7/YJd1ul00Gq1cnkAIJZQm82GBw8eiLXX4/FgZGREYEu0BmezWSFD\nftR1EQXCbQDf6Pf73/rw10lFUb4I4Oa51/wegD/o9/t/AwCKovwWzqJG/xnOAkV+4CLghMr/TCaD\narUqyF9S1ZrNpnhjqWAlmpJiLUU5i5M9ODhAMplEp9PB2NiYMA70ej1yuRxyuRwmJyclazwWi4lY\nhYhO3mrMZrPcwKk65wb1+XxyS6GoLJPJCKQFgAhWfD6fKF8VRUEwGEQqlUK9Xhd7HJ0F1ABwREAe\n+OTkJAYGBsSmw3SxhYUFRCIRGQPQpsRMAAaIPHjwQOhb7XYbXq9XUtoYyMJqVaPRIBQKCU2R3Ztn\nfF3YPmY7k2FbJP8xiIyiWWYIcD+Se28ymaDVanFwcCCHEwWnhGbxwcoHKrtMkUhE6JiNRkOAS61W\nC5cvXxZoFr+OGzduCJKYAkJCcNjJajabSCQSErNMQZjVapVChMU8P1c8hLvdLtxut0BsaN31+/1I\np9NIpVJy0HKcODk5KZofBqS12235egYGBmQUmEgkcHx8jHw+j4mJCeTzeVgsFnmY2Ww2EUISU8vv\nKTtkz/i6sH08Pj4uAXMbGxuYmZkRGiEfYp1OB0NDQ9jb23sq5IujqXQ6Lc4SFm+0sTNNlym0TJNl\nGBOpicSJ0+5Ivg33UbPZhM1mE4cONWRjY2M4PDyE1+vF7du3sbGxgZOTE4yNjSGbzeL4+BgTExPi\nZAAgZ6ZKpYLNZhNbOQWw7IAQ6FQsFjEwMICbN28KBIqaNo4UKZykxf37aYrE9JvNZnn+FYtF1Ot1\nEdgSmU7dm8ViEcIuCaYfZ10EKOkdAK8oijIFAIqiXAbwPD5kgSuKMoazVtfr/A39fr8K4H2cbeYf\nuji/DAQCghhWFEVsf6xWjUaj0Ag5y2Xym1arlTknkcMDAwMyg8xkMpJSxvemKLJSqWBoaEgq4nw+\nLwAm5hqQt01/LhX+PICIwKTuodFoiIvh5OQE+/v7SKVSsFgs8Pl82Nraki4EXRC0ZLHt2+/3hdNA\nESHHFlarFRqNBna7HQBE/a5SqTAyMiKbTq1WY3h4GPl8Xoh+h4eHGBgYEDEQRy6np6dwuVzS1ubN\n8Hw2OW/Hz/C6sH1MOxUfTqz2JycnJbiL4ULkT7BFyp8D57uE0BA8NDU1JTc1/mzohuDoTaVSSU6I\nzWbD/Pw8PB6PaBK4r+jr5s+bXTa9Xi+OoFarhbGxMYEwxWIxCWEip8TpdMLpdCIQCMBqtUrSKcck\npVJJrIX87DFDhUFobAFbLBYpyknqS6fTkkvBywMLYo1GI+CldrstMeUsxrPZrCScajQaUeOf14I8\n4+vC9jFv5S6XS0RwTCbkmKfVakkqLnAWU0x+DFvqXq9Xilzae3O5nLALGJTH0UO9Xsfs7CycTiey\n2ax0sbi36GYgkdThcEgRwW5Xu90WaNbm5qZ0ssrlMsrlMsLhMGZmZtDpdGAwGASYRdcYixGCikiJ\nJHiv0+ng+PhYulgTExMizuXfv9FoYG9vT/gzDFvj2IWApXK5jFKphIcPH0oMPJ0aw8PD8Hq98tw7\nPDxEoVBAOp1Go9EQZ9RPTJojzlLDzAC2FEU5xVkR8t+dSw/zAOjjrEI9v/If/r8furiB+A0m5nds\nbExuHswYLxaLyOfzODk5wdLSEh48eCBe81qthmg0Cq1WK6EgTNGiuIYzLMYdU4hIEhyDXPR6vbQ8\n2SrmQzqdTgvS9eDgQJTkdE8wiZLRz9QDcEbMQCqOLYhSZmXIKpUfRB5uRqMRW1tbEuDUbDal1UTx\nF5XB3KgAJOyEt3/yyPmwYcXKvysJkudZCgxtIkHvGV4Xto/L5bK0r3nAaLVaQdLSmkg/OXnqhLGw\nc0UB7fkCk/PIUCiER48ewePxCEnUbDaLhoUPd5LrrFarFLcDAwMi1KXan6lzhLCQa6DX64X/Xi6X\nEY/HJbqZwTYEdZFVz6IIgIy0DAaD6GDY9gXOsNS0HdORw84aKXPMKxkaGoLP58PR0ZGMIGnrJdWP\ncCq1Wo3x8XEhMPJSwUyV/f19KXKe8XVh+5iF59DQkICLiDom8IeXKmpBfD6fWL4BiF6K50alUhGN\nAs8jRnLX63URFdLOy04WMe+0UvJnqSiK2GPNZjNWVlaQSCQwNzeHjY0N6SqbzWYAkAKEoWQUtjP0\nbnx8HPl8Xkay59MXtVotfD6f8A/4jGL3jM4FrVYr0eoWi0U6iLz8eb1eaLVayVzhiI74Z14gGfp2\nXrNGrgS/x0ajUVKBP866iALh1wF8EcBv4GzmtQTgf1UUZb/f73/lH/LGKysr4qmlGGV2dhYejweK\noohQhA9pPkjJVFepVPD7/ajX6zAYDBJ8RDywyWSSXAFGlDLFkVnfa2trsNvtUtWSRscAEd5uyA9o\ntVpiGSTQiFn1ADA0NISjoyPJQaA4plQqCa2QnQfaudiiZjgNq09+XRQOAZAbGrHT5H5zPsd4VX7f\nhoeHhVZnMBgwODiISqUiHxLOklncsGKNRqNPRQn/FLRmL2wfv/nmm3LjZiT4yMgIRkdHRffCBz/H\nEKOjo+h2uyJscjqdMurhTZ9tUAoZZ2ZmkE6noVKpEAqFpFXr8/lQLBYlL8FqtSKTyQillIch4TE8\n8LhvSXCkpubg4AAzMzOSVGq1WoWWp9frsbe3JzZh4sJZyJbLZSSTSQBnWSekgFIMzNEeg3tisRim\npqbkIcF5LsE4tD1TwU6eB4sC2kSz2azEPhPfvr+/j62tLZyengpZ8qdAS3Nh+/iNN96QoDy2xOfn\n56VNzmTRra0tXLp0STDu/JlxnEXaIHkGBCrxYkTEMMc/dKHFYjG5aSuKIhwQv98v/Bimo6ZSKczM\nzMBisWBoaEguOs1mE4FAQM4rZopQ/0CYHcFMer3+qW4tnTDMR9jZ2ZEHNce2Op0OiURC0kw5iq5U\nKlCpVEilUjLWYlFEBghjspPJJAwGg4ymmfLL7gO7g5VKBalUSuBj5xHUH2ddRIHwhwD+p36//39/\n+OsniqKMAvjXAL4CIAdAAeDG01WrG8CDH/XGL7/8Mubm5rC+vi6hL7wddTodeSjym8xbValUwuzs\nLGKxGHK5nBAL+TqiNIEzghXFI+l0Wlq+RqMRqVRKlLL7+/sAIAKq8xYwBnhUq1WMj4/DaDTi4OBA\nbvn8QNEzzIwDVr0sbKj8pae2VqvB5XJJ1+Pk5ERCpXjzOt/a29/fl9daLBY5FEmPZJAVW1GMKs1m\ns1LR84OuUqng8XhkBMGOzenpKcbHx3Hjxg0Z3VDk+aGL4VldF7aPFxYWsLy8LAVePp8XixPHCoT7\nUAndbDZFLKXRaOQAozL79PQUHo8HHo8HT548wf7+Pux2u7DggbOHJl0THHMEg0F0Oh1MTEzIYcg0\nOHYruLdoAyZumZAss9mMBw8eCJa8WCzKewJntzAqzYeGhjA5OSn6A0VRxF579epVeahQr8DRIdXk\noVAIBoMB8XhcbG/kFkSjUTidToGAka5Kumk+n38K2sSOC7/3N2/exLVr17C9vY1+v48rV67gtdde\nk8/6M7oubB+/8sorApRiUcnxIqPHCV0zGo1yDnFmz5s3A/RcLpeExpHiWa1Wpc1vNpslMTaXy8Fu\nt0vR2e/3JZmRaZLnEfyPHz+WGz3jmi0Wi4CPqI3gOI3jYoPBINHqhCqxEE8kEuJAYieYnb4XX3xR\ntApkh/j9fkQiERiNRilo6Hygo4zao0qlgoODA4yPjwOAaCgots/n8xIJzbEuxxnc46RCjo6OYnV1\nVYSXH2VdhAbBAOD7y+4e/6x+vx/H2aZ8hf9TURQzgGWczct+6KLY5Tz5MB6Po16vo1KpiI2K5KhG\no4HBwUF0Oh2MjIzAZrNBr9eL+pqAJKbDGY1GmQdbrVbUajVks1nBd2o0GrjdbqlSJycnBflMVSlb\nXXRIJBIJZDIZqUxpVVGr1chkMrIJQ6EQ2u02Njc3xbLJPIZerydgJp/Ph2q1KrAlJkoSQ8s5NCly\nNpsNly9fFu830/4oFKJylpU058+EgwwNDWFhYUFEa0zzYzHjdrvR7/el3Us880/B7PbC9jFvIOQD\ncBZPcl+r1RISGwBks1nMzs5KymCz2RSuAa18wWBQXDOkJe7u7kJRFEnM43y11+vJDZ5jr3q9jlQq\nJbqFaDQKt9uNQqEgBzRHTex8MDXRYDBICA5jm10ul8yo6ZIgOCafz0tAldvtFv0BRwzctyxk2u22\noJ3ZRs7n85LQaDQa4XK5hPjJ31cqlfDo0SO0Wi0YDAbkcjmMjo4KbCwQCECv14urIplM4uDgAG63\nGzabDXfv3v1pGJVd2D7mWatWq4Ws2mw2cXh4iKOjIwFyDQ0NoVqtYm5uDo1GA8lkUi4m7J7y50ne\nysDAwFNFRalUeoqncHh4ePYX6fVQLBZhMBhEvMr2faPRQLfblZwQpkLWajUYDAbprlmtVrn0qFQq\nJBIJCajL5XJyETUajahUKhgfH5cYZmq8Op0OzGYzpqenhfLLMD06d5xOJ/R6PSKRiHR1WciyMOBY\ni8UCLcsc3fCiwHEuR5IajQYGg0HcCjzXWRBRA/JR10Wc4v8PgH+jKEoawBMAVwH81wD+r3Ov+fcf\nvmYXZ7aaPwCQBvCNH/XGKpVKom23t7dFjVwqlXB6eipwCNo7gsGgpClyFsabkdfrlbmYSqWSKpi2\nxUQiAbPZLA/cd955B4FAACqVCvF4XGY7jUZD/rx+v4/Dw0MYDAZMTU0hlUqhWq0KjYtqfwYbeb1e\nHB4eSgQzW6p0FrBlv7S0hPX1dblNURDILHZGTOv1ehHisOUHnFW63ERHR0cidmTlTST1+XYUQRwD\nAwMYGhrCtWvXcHBwALvdjlKphMPDQ4H2pFIpcUzwxkaf/TO8Lmwf83awv7+PXq8nGOVsNivo7+Pj\nY5jNZmQyGSwtLQmnoNVqyVyfCHC2Suv1OiKRCIaGhtButyVKul6vS2uXHmoA0mUYHR2VQBcems1m\nE9vb23LQDQ4OIh6PiyjWbrdjamoK09PT+Nu//Vv0+32Ew2EUi0WMj4+j2WxiY2NDCmg6cDiCsNls\nyGQyGB8fx5MnT2C326UNrCiK4G6BswcRuxZWq1WSAEnqY4Fss9nkoCWFEgDy+Tz8fj8CgQCq1aoU\nASqVCqOjo9jc3JRuRrVala4K29nP+LqwfVyr1WC1WnFwcCBt7nw+L46D8+PIg4MDFAoFudD9/M//\nvOCvvV4vnE6ndFHPn33c85ubm7h27Zp0F3Q6nYR7URR+fHwMj8cjbX+27DmS9vv94rRiUB1hRbu7\nu8KyYfFsNptxfHwsHajzFndeJtkd49iDmpidnR0kEgkMDg5icnJSbOcWi0UIkYyHZpFKZ0+z2ZSs\nFl4sHz58KGM7h8MBr9crBXqn08Ho6CharRai0SgWFhawt7eHer2O+fl5sUd/nHURHYR/CeCrAP4Y\nZzOvPwTwfwL47/mCfr//hwD+dwD/AWdqWT2AX/xRnlsAkkLn9XplFsSqj4JBkhArlQo2NjZwfHyM\ncDiM+/fvy0Ygmzufz0tEM2ethUIB2WxWDh2VSoXd3V35QdL3SsAK+QuRSESQshSJEM0ZCATg9/uh\n0WgklINe8263i3A4LAeSXq8XJrfT6ZQHcLvdluQut9uN2dlZcRWoVCpJEONhyv9HgRsP6n6/L9oC\nHrDdbhfValVugLT+WK1WPHz4EJ1OR6yRLLKsVqvcHPkAYcY5xZDP+LqwfUyID1uEwFnFHw6H4XQ6\nYbfb5RY0NzcHp9OJu3fvwm63C7o2l8theHhYIqAJeyEUJRgM4vr1609ZxthlI0dheXkZ+XweGxsb\noid46aWX5IbCbgIV0UzbMxqNqNVqSKVSODg4wOTkJD772c/KzD6fz2NoaAjXr1+XzgHnteQ/9Pt9\nlMtl/P3f/z3W19fR6/Xw/PPPo9/vIxqNiuaHzpharSYWtpOTE4yOjuJTn/qU2D0pVtvY2MCbb76J\ner0On88Ht9uNQCCAlZUVIZGygCY1lEU2APks9Xo9LC4u/jR0wi5sH8/Ozoobi1HKY2NjCIfD0iU7\nODhAs9kUDLLL5cJv//ZvI5FIIBqNIhQKieCOyZscaREG5Ha7MTk5ibm5OXg8HjQaDczNzeHBgwcw\nGo1yw+dt3GQywWazIRgMwul0SuG4t7eHjY0NBAIBAJDxQbFYhN/vh8/ng9frhdvtFo0PANG3mUwm\nTE5OYmdnRyi0fNBTKHg+JG9sbAzXrl2Tc/y89Z0iR+qIisUibDabsHqI4LdYLDg6OsLa2poUPARM\nUQSczWYl7Xd4eBg7OzsiTCc5+CfGxdDv948B/Dcf/vOjXvclAF/6KO8di8Vw48YN6HQ6ZDIZnJyc\noFKpoFQqYWxsDP1+H6urq9IWpFuAD09WXWxtMhkyk8lIKl4oFJKKs1ar4fLly+K9ZYU3Pz8v7aeJ\niQmJYKaojLev4eFhqUzZIYhEIpKeRwFkpVKBWq2GzWZDu90W68vi4iLcbjdWV1efIr0xKtputz9V\nJTO17+TkBOPj4/IavqdarYbL5UK5XJagEAqG+D11OBxwu90YGRlBKpUSjQPtOaTPjY+PY2NjA0aj\nUSJd6c8fHR3F22+//fE20E/Iush9zNs+b6xEJScSCRiNRlH9M6OhUqlgamoK0WhUxKVarVZmmLwN\n0+oIQCyzPCxzuRyGhoYQCoWEbMcuGTtww8PD+NrXviZpdYzn3d7exu7uLmZnZwU6w0M3m81id3cX\nN2/elMM2HA4LCIl7g/uC8CSdTodQKITt7W0YjUZoNBpBQ/t8PiHXsVuwu7srQWbssPzN3/yNjAki\nkYj46ImLppvoPH9kcHBQPtPtdhvz8/MoFApP+cwPDw+RTqcxNzcnuqZndV3kPv67v/s7TE5Oot/v\ni2NKo9Hg8PBQNC7UPpFEOzAwgO3tbUF105nDiweTZHU6HcbHx5FOp8Waura2Jvue1kKHw4F79+7B\nbrdLrgP/LOqj2MVNpVKYnJxENBoVvYTdbpcRdafTQTabhV6vx/PPP49MJgOr1YpcLidFtcfjkZGB\nyWTC7du3EY1GZfRH8brL5cKTJ09weHgoxQYdPxTcarVaOcM5NpyYmJCOG0eKZrMZk5OT6Ha78Pl8\nkijcbDZx6dIlSSamQ+34+FgsoLVaDSMjI4hGox9r/1xEB+HClsViES4A7YwUYqXTaVSrVVy7dg0G\ngwGVSkVu2xMTE7hx4wYGBgYwPj6OVquFra0tKS663S7MZrO03dmyz+fzKBaLePDgAd555x0kEgls\nbGwgm83igw8+kPbW3NycxOoySISzOM7HksmkzLn29/dRKBSk9a9Wq+UHmk6nsbS0BK/Xi1gsJoIx\njkQIcqKlqFKpyAG3sbEhH6B0Og29Xo+dnR0AZ3Nsqt2ZBeBwOKTFRtDN6ekpotEoVldX4fV6MTs7\ni0wmIwI4gnei0agoztnRodiSIUCfrB+8KPAsl8vyIKMK+vj4WARbGxsbiMfjKJVKcLlc4kjxer0Y\nHR3FrVu35AaxtraGZrOJV199VZwRNpsN/X4fjx49knkpk1BnZ2dl1j4/Py+Ka5fLhbm5Oezs7MBk\nMsnIbXFxUVTo1J/0P4xkDoVCiEQisNvtuHbtmrAICH8hT5/iXLZnefj6/X7k83kZ09GOxnYu8xdu\n376Nw8NDTE1NAYBofjQaDcLhMPr9PjY3N5HNZiUJjwW2w+HAkydPYDAYsLGxISyEt956C4VCAW63\nWwqM0dFR/NzP/Zyw9D9ZP3gFg0Fx1HA+fnh4iJOTEySTSRF7Op1OxGIxJBIJWK1WeVBSSEfmhMPh\nQCqVwvz8PPr9Ph48eIBms4lgMIipqSkoioJ3330XU1NT8Pl8kro5Pj6OYDCIYDAoXV26wlZWVhCL\nxVCtVuFwOFCpVNDr9YT42G63ZaxmsVhw69Yt+X3lclncPm63G0tLS3j11VdxfHwsZNr19XVsb28j\nn8/DYDCIBovW5e+PF4/H43j33XdRLBZl9E29BjN1EomEdNv29vYEWkcWyfr6OkZGRjA2NoZIJCIs\nj2q1KkLhfD6Pl156CVevXkWpVMJnPvOZj/Uzfqbinn/nd34Hb7/9NhYXF2EwGODz+eQByZtKp9OB\nz+dDPB5HKBSSwBWNRoNHjx7Jw5yzSor8OBbgzejx48dyeB0fH8Pv98tBViqVZDbLipBAJdoaM5kM\n/H4/2u22PGCj0ShsNpsopQGIXZAgDvpsSR3r9/uo1WpCjJybm0Ov10M6nRa1KgAR/VAdHgqFZNNn\ns1koiiJ4U/59iVvW6XSiHUgmk3C5XJidncXW1hbUarWAQigQ8nq9Es5C/z59vI1GQ77/X/va14Bn\nlGF/EYv7+Atf+ILM+6nroJOGHIJYLAa1Wo1r166Jl99gMMithiAWjsLMZrPEyFarVYyMjCAUCokC\nn2AYimlPT0/lds3o6Z2dHQm/uXTpkkC9qAin64VCqlKphO985ztYXl5GPB7HZz7zGWxvb2NzcxO3\nb9+W1MmTkxP0ej1xDPGQ83g8oktIpVKw2+04PT3FycmJiKpo8Wy1Wv9ve28eG2l63on9viKrWKyb\nrJtVJItVvLvZ7Gump6WRR9dI2hnbKyXw2lIQI2ssgqw38Wb/iJ3NATi2EywWWO+RrINFjASxs1Gw\nVuz1ei1I0Eju0Ugzo9b0wfus4lH3zSqyTpJV+aP4e8I+NNPsUbsPfQ9AYIZd/Op6vvd93uf5HQgG\ng/jRj34kc9/h4WEsLS3BaDRiaGhI9B08Hg+SySSKxSJMJpPMjsl0eP311wFA6I8sbKlnQrOoXC6H\n7e3tx9Kwf5GDeXzlyhV89rOfhUajwY0bN+QgFolERLlvZGQEe3t7uH37Nvr6+jA6Oop8Po+xsTEk\nEgncudMhSrAw1ev1Anr2+/1Cgw0EAjh37hzef/99WWdpvhWJRETzJpfL4cKFCwgEAtBoNJibm4PZ\nbMbq6ipMJhM8Hg82Njawu7uL119/HSMjI6hWq5ibm0MoFBK9DoPBgL29PaytrckBkjivwcFBvP32\n2/D5fML0IojQbDYjHo/D6XRKEc0RyP7+vtAXh4aGsLKygkwmA0VRMDg4CKfTidXVVdGhIX3ebDZj\neHgYxWIRb775Jn70ox8J7ZHmY7du3cLGxgYCgQDcbjd2dnZkjzw6OsLdu3fx3nvvAWfM4+eqQJid\nncUv//IvY3d3Vzb9054MBHZlMhnZnGdmZsTQyev1olqtYmNj4x59ahYBkUgE7XYbo6Oj0nrSarX4\nwQ9+IAAXonaz2SysVit6enrEq/t+UQzOXQma8fv9ACDo8FQqBbPZjEKhIMIi9Xpd5GqJsVhcXMT5\n8+dFHZJCHazYOSrg2ITshu3tbXzhC19ApVJBPB7H8PCwdBK4MVDHgWIaFJKy2Wzo7u7GnTt3cO3a\nNQAQnjtVF3/0ox+hVCqhr68Pe3t74qhH3vLv/d7vAerCKsE8/qVf+iWk02lxgAMgNsg9PT1wOBwi\nPBSPx/HKK6/gW9/6ligpZjIZYUDQP6BcLqO7u1ukVvk9cHS2s7MjjqBjY2OYn5+H2WzGpUuXkMvl\noCgKEomECL10dXVhcnIS7733HtrtNrLZrLCH6JjY09ODra0teDwezM3N4dq1a8KuIR2TAjKkApMN\nw5M5KVrJZBLT09NyX57mgXPkV6lUUCqVhPGh1Wpx9+5dtNttjI2Nicx5MplEoVDA3t6eeIdwVPLS\nSy+JHC71Qqj8ODIyAq1WK/fhwcEBbt269VybNT2JYB7/xm/8BiKRiKxdsVgMXq8XpVIJu7u78Hq9\ngoOanJyE0WhEJpPB7Ows5ufnBTNF7RSCxh0Oh4w2c7mcHE6uXbtwuMJIAAAgAElEQVSGnZ0d8ctg\nbmi1WmHb9Pf3C0tncHBQ7oXu7m5otVq8//77MBqNIgtNhgtP7dQdoOBYpVIRQG0mk8Hrr7+O1dVV\nkf62WCzY3t7GzMyMjB3q9ToSiQRSqRTq9TrGxsYwMzOD1dVV6TpfvXoVsVgMZrMZOzs7ItZ1Wv2R\nCr8HBwfiMhkKhZDJZDAxMYG9vT3E43Fhnh0eHooeD32JcrkcjEYjtra28Jd/+ZfAM2DW9MRiYGAA\ni4uL6OrqEpU5flFGo1FAgI1GQ7QDqFZXKBTktEUGAZHdbItT1jUajWJ3d1ecEl0uF86dOyeGNyaT\nSVTlqNpmt9tRqVTQ19eHdDqNyclJrK6uwmAwIBAIIBqNin2v3W6HXq+Xao/Aqb6+PiwtLYlcKOmW\nr732Gu7cuSPKjwaDQZC0bKNSdyEajWJwcFDobN/97ncxODiI/v5+aWlR8TEcDsPlcsFisch8jbLK\n5XJZPluq6dHBj2MYUjmpSkeJYOrtq/HwYJeLBeXQ0BCazaa0WtPpNDY3N4X3vbKygpmZGWxubgre\npVwui1U5PRB4X9BwpqurCwaDAdVqFdevX0c0GoXRaMTKyooYn/34xz+W2SlV3FZXV+8RNGq1Wpic\nnJQNlZ0OPi8AfPGLXxSdAeYgFzsKLRFgvLW1JeMGn8+HRCIhoy0u2oVCAUCHaUEhI1I9M5kMjo+P\nhZY7MTEh4zF2zsxm8z1U41u3biEQCGB9fV3ueavVKpTfVCqFYrGIyclJWXBJN1bj4cEigHimRqMh\nOKbTxRYApFIpMb6Kx+OIRqP4zGc+I6d5rh9UJqTWQCAQwMLCgrjEer1e0euggu7q6qqIvFHULRQK\nCSMhm82iUqlgdnZW9gnibqhsWK/XcenSJQGDc21dXl6Gx+MRgb25uTnUajXRX2AHLJVKiXgSixKX\ny4VSqYT9/X0sLS1hbW0NL7/8stwP9CwxGAzo6+tDpVKBzWYTIDn3BYKPAQhbb3FxURhJpLg7nU6R\n3Sd4l9d7XC2P56pAoPa/z+eTthI/uGKxKOhXzjEJPiwWiwiFQoLaP90KJxqbLdpWqyXOYfQrWFtb\nw/vvvy9yr6xq+/r6ROWwUCig0WhgbW0NHo9H5F8HBgawubmJgYEBxONx2fypH05wH2VJp6enRS+B\nlCsqeNF/vKurC+FwWIxKDg8PUa/XUSgUYLPZRJhke3sb58+fx+3bt0VfnEY7FH2i+hgBkO+//75Y\nPff19YnPOjXBeVqj5v74+LgwInp6eoQVQZ6yGg8GT/tcCOkB0mg0YLVaMT4+LrKzP/dzP4f5+XnE\nYjExzaKiGhcX6g1wxMZcodZCPp/HysoKnE4nGo0GgI4mvk6nw9DQkABkaejU398PvV4vBjiDg4Ni\nHuZwOGS81N/fj5GREeRyOXFR5Hw0l8shm83i/Pnz4tCnKAp2dnbk5GWz2bCwsCCIdOKDeB+aTCb4\n/X6hfqXTaQwPDyOTycDlckFRFNnQFUWR0Z/JZMLo6Cji8Ti6u7sxOTmJbDYrM1sKfo2NjclCPjs7\nK0U2hW8oWa3Gw4O+BFqtFvF4HAcHB3A6neJLwMdYLBbMzMwgk8lI9/fixYu4ffs2/H6/rHUEUVer\nVWxubiIUCqFUKgHodNju3r2Lr3zlK2JmRCBuOBwW2uLQ0NA9hQm7wJ/+9KcRj8dRKpVw5coVFItF\n7OzsYGBgQA5c1CHwer1CcTUYDGJnbbFYBDuzu7sr+iMcy5VKJfELCgQCYg1A4aORkRHpBFCcicq4\nuVxOum30JmE3sLe3F6urq8jn82KRTj0bFisGg0Fso8mYo3owqfiPE89VgUCFtc3NTaFvkN9fr9fl\nA+cCNjIyIgpf6XQa/f39iEQiIl9M3W+gU2BQdrZUKqFWqyESieCVV15BNBoVehfRr7SHpWohncVq\ntRry+TwqlYoIEZEXXCgUMDAwgHq9Lvx3toI4+yLYhdQUeihMTEyIpCzb0JFIBHa7HWazGS6XS1rK\nBwcHAuSkUxi10p1OJ1qtlohz0I+cZlPEcvT29srNz6qVIB9W/FycSduhOVUymUQmk3nK2fLsBsd6\n7HjRTZOqdFTXHBgYQCQSgcViwdrammBFSKW9cOECrFarCK8AEO0OvV4vbnVkIzBXvV6vnPzIlqCy\npkajEc45i5LFxUWxRKYsOU9sQEdn4PLly/jhD3+ImZkZ+TcuqLwn3G63SM3SFZTaDDw10cqXAFy/\n3w+Px4Pbt2+L6AuNmWhE5fF4sL29LRRfCvgQc5PNZlEul6WoVhRFFOe6urrg8XjEi4IS0uzgra6u\nPrU8edbDYDAIIJyGcGzH00CMB4dMJiMGdpRG7u/vFyXM4eFhuFwuZDIZrK2twe/3C3WSG19fXx9u\n3LghOAWqv1IFkbRKetokEgmMjo6ip6cHq6urqFaruHr1qmBYLl68iGq1ilgsBpvNhuXlZVnDyciy\n2WzI5XJSdOv1eng8HqysrIi0Pqn2FAsjW4by+CzUuUlTpImMI47f+vr6pPvdaDTEr4VdD0ou7+7u\n4vLlyyJMxfHCzMyMYNa4r5TLZYyPjz9TUstPLChHSUqW2+0WIxkaYLBYOL2JGgwGQSoHAgFUKhWh\nNRGR3dPTI3KylAtmK95ut2NnZ0dsTA0GAxwOh6DQad/M6/DLPT4+Rjwex9jYGHZ3d2XhGR8fl8X5\nNFWNtDdWl0TkEsVNXEJfX5/Mm+ks5vF44HK5hEmRy+VE9c5qtYpHO2e+drsdhUJBFlF2LegXMTQ0\nJMXY1NQUFhcXMTU1Jcjx8fFxjI6OSiULQGbFNpsNS0tLTzlbnt2gXS1ZAuRv9/f3y2YKdBaS9fV1\nDA0NSVdob29PdCgGBgak3cqOBDnn+XweOp0OiUQCDodDCs6DgwNZeNlBczqdApb8q7/6KwwPDwtb\nwWg0CpuHypmRSETup/n5eTidTqyvrwvo12azwePxiNY8wYJWqxUbGxsy0iMQkDS3vb090T9gizka\njQKAjCwKhQJMJhPee+89fO1rX8Pbb78tIEgCNwmqZP67XC4Rf6Lxz+TkJM6fPw+fzyd4CZ/PJ5Lm\nzGu1E/aTg2tKJpNBIBAQPAA5/SweiBs5OjqSzixb+wSPbm1tYXl5WTAhAGTMS6XMjY0NFItFYd24\nXC45nPGUTyAgFUl3dnYEFFipVNDb24ubN2+KC+n+/r6YjnV1dckhjK6JzOWdnR3Z9Inn2t3dFS+I\nnp4e0UugJDqL8Xq9LqBZsjZGRkYEh9Y+sSvneMRkMsl+wJylVfnIyAgqlYrQJ9n5Pa0YfBq8Thox\nJZvPGmcuEBRF+RSA/wrAFQBeAF9ut9v/7r7H/A6AvwPABuCHAP5uu93ePPXvPQB+Hx0jkR4A3wbw\n6+12+0OPnaVSSVD05LmyZWo2m0VpkTxUbub1el14trSJ5eyWlpncIKvVKsrlsrSP6vU6/H6/zCRJ\nR6P4BZ0LWQ0S4MQftpGp1bCzs4OVlZV7rG0pJ8sbrNlswuFwiL7B5cuXsb6+Lgs7EeiUMtVqtUgk\nEmIjTaqLTqfDwsKCWLCeZhvQyZGzagpP8f2xm2AwGJDL5WC1WrG9vY1QKITz588LWPF0kDNOeeZn\nOZ5mHjM3RkdHpdp3Op1wu92IRqNSgKZSKcEpGI1GhEIhUUhrt9uIxWJysmK3iRzoZrOJcDgsp7p6\nvS4mL/SAoEw2lT5XVlZksYrFYoKp4cLLYoZo7tOAMNLceOIjinp3d1c26ePjYxFhOj4+RiKRkOtT\nN95gMAh6nZr6xLVQAEyr1eLcuXNy33ATIujYarUKbTgej0On0wkojeJL7Fz4/X5xjmQ4nU74fD7E\nYjGcP3/+Y+XZk46nmccc/TAfSDklGJxuhFRppUZAo9HA7u4uhoaGpMNbr9elQ9XT0yPmWpFIRKzK\n3W63dJF7enqg1+tFct9ut6NYLIq6LRk3LBhyuZyMdwcHB5HJZGTkMDY2Jp1bYk6I8eEImR1mnU6H\nTCYj0s16vV7GetTRIAuC6z5t0uk0yZGXxWIR2WjiGex2u5g+UW55fn4eo6OjIktNDA21fYgx4/pv\nsVhE+IwsD/7/WeNxSL5GAHcB/Do6NqH3hKIov4WOetd/CuBlABUA31YU5fRd+M8AvAngPwTwcwAG\nAPy/H/XEp9W5qKdNZUIusBQOosobN1wKqNAtjOZK/Pe9vT3BMdCXgdUwUflUznI4HAJ2JFKbYkI0\nKKGwktVqFdniSqUiyF22h+ilXiwWxQ6VwhrlclnobpSYpmwpuyacl9brdUG1U1mOYDabzSYOdUSo\nE1ler9eFM07AISmflA89PDzESy+9BJvNhpGREQwPD78ISolPLY9ph8u8YQegWCxKK5C56Pf7ZTxA\nsSvOGzOZjAC7yGThAsUWbn9/v9gz7+/vSxFHnfdUKoXbt28jFouh0WhgdnZWFDU1Gg0WFhZgsVgw\nMDAgIkLHx8dIJpPY3t6WhfLo6AjT09Nwu91wOBzCFOAprNFoIJPJyH3GTWN8fFzyj54IpPxynKfX\n64U1QcW9RqOB9fV1UZyjsijQUUOkT4WiKNJhoA38xYsX8bnPfU7Wi4dFT08PQqHQY5+8/hrjqeWx\n0WiULg3xKsQMkM5KmmkqlbrHjM5sNqPZbIoL7d7eHux2OwCIvDF1X8hU45pGLYP5+XlprxeLRVHG\n3dvbQ6FQEBdfYgC6uroQi8Wko8a1kEDCQqEg4z2Oh1nser1ebG5uynpKnRmv1yuMr/aJkd/BwQHi\n8bhQHOnSy1EC12cK+dFQsFqt4ujoSOjq29vbACDr8PDwsBgIUoSKr+fq1au4du0apqence7cOYyO\njmJiYgKvvfYaPv/5zz/2en3mDkK73f4WgG8BgMI+4L3x9wH8brvd/vcnj/lVdFzCvgzg35wYgfwa\ngF9pt9tvnzzmbwNYURTl5Xa7ffPDnp9AJqq50b+dIBEKDxHJzFkM/e05B2MrVq/XI5VK3aP8xTkZ\nF3Ciph0OB1qtFlKplPgOABCgGOeYTDJiDKLRqOg1uN1uKTzYhmKnw2q1CojH7XbDarUiGo1ic3NT\n1OdIC3I4HFhcXITX65VZNWmQdEhzOBy4ePGitK7objkwMCCnUKo38r1S856KYaFQSASR+vv7Renr\neY+nmcdOp1Mc6UZHR6XVTxlVthUrlQocDgeWl5eFmcCOAb9vu90u7fWuri50dXUhHo8DgBR8u7u7\ncqomeptFB0FYR0dHGB8flxMZT+90EC2VSuLCR7AqNfA576eyIrUFzGYzEokEtFqtdL5YvA8PD4uK\nI/UdKLBF9gSL6YWFBRmF9Pf3CzCNZmm1Wk0MpTimczqdsiFptVpsbGzg2rVr6Onpwac+9Sl4vd5H\nypPe3t5HzKinE08zj/1+P6ampjA3NyfmQBqNRkYKDofjHjl8n8+HcDgMh8MhngXlclnGQZQCHxgY\nkFyhwNb29jZmZ2dFHfa0A2Sr1UImk0Fvb68UfOwWcdxLIOHIyIjoKCQSCWE+ABB1Q6/Xi729Peh0\nOilcTgPWf/7nfx6NRkPuJXYd2PGjjDJxXTyEEqdBACe7aDzd7+/v4/j4WMSVfD6f4Hm4Vly6dEkw\ncNSu4XiZBk4UKgMgZmzsYpw1fqoyYYqijADwAPguf9dut8vo6HtfP/nVVXQKk9OPWQOwe+oxDw2a\nArHNYrVa4ff7YbPZMDU1heHhYUnaoaEhWCwWAZ6kUimpaLPZrACkaOrB+VNfXx+cTifS6bScnsbH\nx9Hd3S2JoNFoJNG6urqg1WqlUib6muCUSCQi89eBgQEZZ1gsFhSLRWlh7e3tSbuW3FfOxygpHYvF\nAEBmsVQjq1arAtihRTQBNpzBsa1HYxQ+F6vacDgsIh0Evvl8PrF9Pjg4wNjY2ItgwvSR8aTzmL4b\nL7/8MiwWC7xer1BfR0dHEQgEMDg4iF/8xV+ERqORVr7JZILNZhNXUQJIKbZF8Onw8DAmJyexsrKC\nUqkkCy67QVTbZHsX6KDNyZcma4HiTZFIRBQ5h4aGMDg4iImJCVy8eFHaqX6/X56vt7cXgUBAnPk4\nBmNuj4yMYGNjA8fHx/J6HA6HnEiJvUkmk6J+CnRAyqurq1haWsLAwIDI4vK90Za80Wggm80iHo+j\nXC5Lt8ZkMuHSpUti7f6ix5PO41wuJ7L2VGYdGxsTV0F63HBERPE4imIlk0mUy2Xs7OzI+sfOFzFl\nTqdT8C+Li4sAOp1kYmkWFxcFs0C1xGvXrsHn84m3Aztn9LThmNVut0vHWKvVwuFwCMg9n8+L2uLh\n4SHMZjNCoRAmJycRiURw584dkeWPRCLIZrPw+/0IhUIira/T6dBsNsWSndL+ZB9ZrVbparPzRixS\no9FAqVSCy+XCwMAAent7MTQ0JN0JYmYmJyfhcrkE03O6OGDQzvxx4qetI+pBp82Vvu/36ZN/Azo+\n482TRP1Jj3loHB0dyUzdYDCgUChge3sbe3t72NnZEdlJshxKpZJwRF0uF8LhsIhQeDwebG5uIpVK\nySyeVSFdHfv7+2WDDIVCsrBTwrbRaCASiUhb+OjoCB6PB3a7XUYOVLJKpVKCM9jb24PP5xPTEM5b\nNRqNzIcBCEjK7/cjEAiIMh097AlWZMuOWgxEcVNZjDdpX1+fPIfRaITVapVNgKAY+rUThEPxKfLf\nf0biieZxd3c3PB4PJicnRUp4bGwMExMTwhbY29vDn/zJn2B1dRUulwtut1tGQ/l8HlqtVtrt3Fw5\ni49Go1hZWRFAGLXdj46OBNCVyWSQSCTkcRMTE3LP0HGPFGKfzwebzSYbNhe+tbU1QWZTYnZ0dBSZ\nTAZTU1M4PDxEMBgUChqN0cja6e3txdbWlhjdAB0sUa1Wk3ul2ez4BfX09KDVamF2dhaf/OQnBRxs\nNpsxNjYm+CFSKElT5ImSypBUSv0ZiSeax7RG5ki1Wq3CYDCIPwYVMA8ODgTj1N3djfHxcWxubsrY\ny2w2C92QHWKr1Sozf45rCaCmTXmj0cCnPvUpjI6OytgzHo9jZ2cHer1ewL9DQ0My32cHmOZRFy5c\ngN1uRzabRbFYxMHBgXQBurq6UCwW0Wg0xOQsnU7LKGR7e1sEmTgWO+2TUK1W4fP5YLFYhNZLd0bi\ndjwej0iW06XS5/NhZmZGhPkajQauXr2KpaUljI6OIhgMil7N+Pg4gsHgE5MEf65YDFeuXBE1NqKf\n+d9sk7MCpUnSxYsXkc1mxbSGkrGn0cm1Wk2SmJxcq9UqfgxTU1PY2NhAX1+fJIxGo8Hw8DAajQZq\ntRrS6bS0uvR6vdAOc7kcrl69imaziUgkIqp1RqNRJDiNRiMcDoc8f7vdlpmexWLBzs4OBgcHRVeh\nXC6LhwTnzQSXUfr48PBQbKmz2azgLah6yLZwT0+PJOHx8THu3Lkj4BmLxYL3338fgUAArVYL6XT6\nsfm0avz/wdHXt7/97Xssu2OxGLq7u+Hz+WSOOjo6iu9///uw2WxiWmQ0GnHu3DlEo1EBLuVyOQwP\nD4va4uDgIPL5vDggUvEuFothbGwMIyMjKJVK2NjYEHwAO0rkrpfLZVGGo4kUT+oUe8pkMnI64TxX\nr9djc3NTRF6Y0729vSgWi5JbHKVRQY9OrMzXwcFBbGxsoFarYWRkRFTklpaW4HQ6kUqlRHWRfPJm\ns4l2uy0Fs8fjQTQaxezsLMLhML7yla/8RNyBGmcLi8WCZDIpm2l/f7+IwxmNRmxsbMgoFYCArs1m\nMzY3N0X2OJfLYWxsTNwTu7q6MD4+jmazidXVVXg8HoyNjYl2y/r6uoxG+/v7EQ6Hkc1m0d3dLQA9\njkGbzSbm5uZgsVhw9epVYWXZ7XYBpieTSVy7dg1ra2soFAooFAoC+CUAk1bqn/vc56QrptPpsLS0\nBLfbLfovZKSVy2VkMhlcvXpVaJ2f/OQnsbCwAEVRcOfOHUxOTsp+xHuIFE2OgomvODg4QDKZxMLC\ngtAtOT4MhUJP7Dv+aRcIKQAKOlXp6arVDeDOqcfoFEWx3Fe1uk/+7SfGW2+9JScKbnDBYBAvvfSS\nnJQIlKlUKggEAtjf3xdtAArCkMIVDAYF5MRWqdVqFbtXCqq89dZbuH79uixqQAdIw64CTZVoOZ1K\npQRIQxc6m80Gn8+H3t5ebG5uIpPJyJigt7cXy8vLcDgcgl3giMRisQCAzK26urqwubmJrq4uaZFR\n3nZ6elqQ6rlcDkNDQ8jlcvjBD34geg7FYhGBQEAU+6i8RWEO6nnX63Wh+tTrdfh8Pvh8vod+L1//\n+tfx9a9//Z7fca73nMYTzeMf//jHKJVKcpLo7u6G3+9HMBhEKBTCzZs3pUhMJBIwmUyIx+MiJXxw\ncIBvfvOb6O/vF+0OboQ8OdFG1mQy4dVXXxWBIkVRhJLV1dUFp9MppxGbzSbywq+88gosFgs2NjaE\nBcMFmXNhig5RXIitXNrNnj9/HolEAslkEufPn0er1RKaIluyPM2Pjo6iWCwKG4Ho+NNaJvRY4Ily\nfHwcd+/exZe//GXh2jebTfh8PumebG5uwmw2486dO1AUBevr6+LzcH+oeXy2PP7TP/1Toc/qdDrc\nuHED586dw+XLl+U032w25XBTq9VkYycNlqfxwcFBbG9viy4H3WA9Hg8sFgt++MMfSnfKYDBgc3MT\nb775pmAD7Ha7OBaSOkl9EYfDAZ/Ph3feeQd9fX2IRqPCZqPvRzweF9Ya8400RtIXX3/9dVmzx8fH\nEYvF8Prrr6NUKklhxL2Fa36z2US5XEa9Xsfm5ia8Xi+SyaQIHoVCIZTLZVQqFeh0OuTzeRSLRQwO\nDoqQHbEcwWBQPCLoI8LP73T8NPP4p1ogtNvtLUVRUgA+B2AeAE5AMNfQ8SMHgFsAjk4e82cnj5kA\nMATgvQ+7/uTkJC5fviwbG1uTHCNQyY+LBGlRY2Nj6O7uxte//nVcv35dsAaNRgNmsxlOp1P+NpvN\noqenB2tra+jt7UWpVML4+LiYK/X19aFQKOCNN97A7u6u0F/o3rW9vY1Lly7hD//wD+FyufDKK6+I\nFDKrzaGhIVFys9vtgvA9Pj5Gb2+vyCfzeoFAAFtbWygWi/jSl750j/JXLpcT2didnR3UajVsbW3B\n6/VKS5W+9uw2kKVxcHAAh8OBeDwum5XRaJTXc3BwgOvXr+Ott97C7Owsenp6cOHChQfkZ7/61a/i\nq1/96j2/u337Nq5cufKx8ulpxZPO48PDQ7z88svo7u7GyMiIbG52ux3pdGcdp+FXd3c3vvOd7+Az\nn/mMaNlrNBpcunQJmUwGmUwGAwMD2NraklMYcQmkUr3zzjti7BQMBpHJZMSamW16ADKS+sIXviAg\nRa1WK6O3dDoNp9Mpevs2mw2JREJUQ69evYo7d+5gbGwM29vb6OrqwoULF8TUjJRKvV6Per2OVCol\nYysCHml0Q3492TVdXV345je/iaOjIzFN40n1z//8z0X63OPxCBUzHA5Dq9Uim80iFAqh2WwiGAyK\n3Pj9oebx2fJ4eHgYb7zxhmhhsDO6vr4ueihcoyl6xTwihfaVV17B9va2YFxSqRSmpqYwOTkpqraU\nM87n8wgGgwLYXVlZEUExnroJ9PP7/ZidncXq6ioSiYRI2lNka3l5GUCHzcPTfyaTEdfFhYUFGWHc\nunVLxgOkXTYaDbz77ruYmZkRcO3du3fvYdkoioKVlRVYrVZMTExgcHAQ77zzDra2tnDlyhUEAgG8\n++67Ilt/584dAfs2m00kEgmRfu7u7sbi4iK++MUvYnd3F2NjY+jq6sLGxgasVus9ip8/zTw+s1mT\noihGAKPoVKa30fEZ/ysAhXa7HVUU5TcB/BaA/wTANoDfBXAOwLl2u908ucYfAPgbAP42gH0A/wJA\nq91uf+onPOdlALd+4Rd+AVNTU9jc3JQTeS6Xk7Y+cQOUa11bW0O1WkU6nUYwGJT5JgEqRLJ6vV4R\nwaA+O9uj5G47HI57nPdoKtJut7G9vS3zVYq1JBIJ8elOJBK4fv26aH47HA6hac7NzUmCHBwcwOVy\nYXV1Fa1WCxMTE3IC8/l8uHbtGhYWFkRONhKJwOl0SruJLWGCL2u1Gq5evYpEIgG73Y5oNCoLJscT\nbrcbAERIhuwPGgI1Gg2cP38eR0dHmJiYgMPhENezD4tTCflMmtw8zTx+8803cevWLZw/fx6Hh4cI\nhUJC9aIMOCVbnU4n7HY7bty4IVgQGmOVSiVx8aQ3QqPRwMDAAFZXV6VdSWYCF2yr1Qqfzwe73Y75\n+XkZm2UyGQwODkKn04nGO4W8LBaLmOOUSiX09/djb28Pw8PDWFlZgd1uh9vtRqPREJ15LuZkLfC6\nRG7fuHEDExMTSKVSeOONN7C3t4dkMikaBZlMBtVqVf7O4XDIiCOVSqFcLmNqagrJZFLeGy2xSaHT\narWoVqvo7u6G2+3G5z//efh8Ply4cOGhgK77Q83jhz7nZQC3Pv3pT2NiYgLJZFI6rq1WS8zgDg8P\nRWvj4OBATIaKxSKGh4cFhE1qK1UXFUVBJpOBzWYTgDZpsS6XC36/XzbHTCaDV155BUdHR0gkEkin\n0xgcHJRN2m63Y2trC6Ojo9jc3JSOMc3RDAaDdB7oh+BwOMQDhF47pKl3d3fj4sWLuHHjhjCBvF4v\nUqkU7HY77t69KzgYl8uFubk5ObyGQiEUi0W43W6xuibAcWRkBIVCQTrGmUwGXq9XGHq8h0ulkni3\n0On0y1/+sryWnxSPm8eP00G4ik4Ctk9+/snJ7/9PAL/Wbrf/saIoBgD/Ch1hjncA/A0m40n8AwDH\nAL6BjjDHtwD8vY964lKphMXFRTidToRCIVmI2OKiPSc3TI/HIwIZe3t7uHLlCubm5uDz+YR6MjMz\nI7gDbvKn2Qpzc3P40pe+hJ2dHamS2+22nFSo6EX3Rro9sn1lMplw7do1aLVaTE9PI5fLiZcDxwkm\nkwmJRAKHh4cwGo2Ynp4Wvvno6KhoLywtLYnAEedgFNggrQuv/tQAACAASURBVKzZbGJ+fh5er1d0\nF+ibYLfbcfPmTTFWcTqdqNVq0jImcIz8+6GhIbz11lsYHBwUWtj+/r64Pj7n8dTyuNlsIhAIoFAo\niBooldHK5bIoeWq1WqysrODcuXOCawmHw9ja2oLb7YbL5UIsFpMTkt1uF2MtFhMcCUQiEcEjKIqC\nWCwmomK0Eff5fLLZ1mo1YbWEQqF7MAI6nQ7lchmDg4Mi0NRqtfCd73wHly9fxvnz52E2m+HxeGQ0\nQvpbOByGxWIRbE6xWMTY2Bj+7M/+DK+88gpsNpt0UYaGhmSzuX37NhRFwcDAAKanp4V/v7GxIVKy\nbA3Pzs6iXq9ja2sLIyMjsFgssFqtyGazmJ+fF1Dv6OjoRyZJrVZ7tGx6evHU8pi6FRMTE3LgoSiR\n1WqVA5bBYBB8FUWFaFe/vLwszrL8W3bVDg8PkUgkEI1GMTY2hmvXron2xeTkJMxmM6anp8XVsLe3\nF2NjY2Jb7/P5xENke3tbnqO3txczMzNYXl5GOByG0WiEXq9HJpORzX1kZAThcFjceFkETU9P4wc/\n+AEsFgsGBwdRqVSkk5zNZkUGnQ6qBCFSzO7NN9/E9773PfT392NjYwN2ux3xeBypVAoDAwNySNXr\n9Ugmk8jlcjh//jw2NzfhdDoxNjaGQqGAcDiMl156SdgZh4eH4sHwsKCy4lnjcXQQ3sZHsB/a7fZv\nA/jtD/n3BoD/4uTnkaOrq0uqr1qtBo/HA51OJz731WoV/f39MiunyJDdbofVahU7T5qwkEJIh0ZK\ngxYKBZw7dw7f//734fP5cPPmTQQCARHDoPpWPp+HyWQSNzNyTTkTDofDqNVq+MQnPoFCoYCNjQ15\n7WQ50AGMyodmsxnz8/Ni2zk/P4+LFy8iFouJgQ5P+yaTCbVaTbofVArT6/WykNNhsVKpYHFxUeiV\nLpcLHo9HRDloFXpwcIBgMIhUKoUbN27A7XaLGhkpoUQRn5ZFZSeKBRQVLp/VeNp57HK5hNNfqVQw\nODgoHiCkHm5uboougMfjEUASHdoURcHY2BgCgYD4C9y5cweVSgW1Wk2kt1utloh7UW6W7nTlchmp\nVApDQ0Oi4x4IBJDL5XDlyhUxuwEg9xd1SPi6CPh67bXXsLOzIwXr1tYWCoXCPSZRZMpMTk4iHA4j\nFAphfX0d58+fRz6fRzabhc/nQyqVwtzcHAwGA1wul1AV7XY71tfXpUAlvZhgX1KAmd+pVAoajUak\nqWOxGEKhkJibESh8f3BMs7CwcJav9q89nmYecx3iupDP5+VgRj2W/f19GI1GbG9vQ6/XY2VlRfJr\nc3MTX/jCFxAOh0UIqLu7W0SGHA4H3G63iH1Ru4UHpFqtJkZ4fX19IhhntVplDEZtEN4PdNv94IMP\n7mGlsUAn2DsSiQguZ3x8HO+9954IbRkMBoyOjuKP/uiP8IlPfAJGo1HUGIkp0uv1MBqNkpMajUbc\nRKkmSUlmRVFEMI/FfC6XQygUkk0/FAoJ/TORSGBwcFCs1tfX11GpVAQXR1Dk6Ugmk2f5aiWeKxbD\n8fEx9vf34ff7kUgksLGxIdxPnqiNRiPK5bIsnhqNBvF4XGSOSSckxYbgp9NKibR8vn79utC+SMli\ntZnP51Gr1dButxGNRtHT04NAIIBSqSRuXBcvXsTy8jLm5+cRCAQEYHlwcCDa8sPDwzI/jcVi2Nvb\nkxNXPB4XqhC/dN6MpFLScpoLd6PREHcv6isQX0Gwi8lkkufr6+tDKBRCPB4XCluj0RCcQn9/vxQn\nPp8PRqNRZuN9fX33+E+QRVKpVEQFTI0Hg/4aLF6p3JbL5VAul8XEaWZmBh988IEgq7l4EO+i1+sx\nNTUlIlzRaFToVlqtFnq9Hjs7OwgEArDZbCKDXC6Xsb29LUCpCxcuiKMn5/tarRZOpxO7u7twOp0C\n8mXRnUqlcOHCBRwfH4vzHhfG5eVl0Qe5dOkSGo0GFhYWxG6aI4pQKCTFOU//g4ODQuF0uVzCRqDY\nDsG1Wq0W8/Pzks80PyO+gcJTAwMDMnpZX18XOuf6+jrC4TACgQCGh4dFZKnVakkxfFomV40Hg/ob\nhUJBOp5c18gMM5lMIusdj8dlTW21WgiFQvI9NRoNzM3NQafTiUYLtTPy+bzYx58+MROHRXAu1Qkp\nosRuGUdxGxsbotdQLBZFmptFucViwerqqsjVb21tIZVKoV6vS4HOE36pVMKrr74qFukcz5LxQI0b\noAO0pPqtRqOB1+sVa/N6vY6BgQHxp+BYpr+/H36/X6yaaQxFjNzR0ZHghKLRqOASKLBEVVW+lkgk\n8ljf8XNVIFB4w2q1SiFgMBjETIbeARsbG7JJZjIZKIoiIkHZbBYGg0HkOwnqikajonBHYYvvf//7\nmJmZEXU6/g0lLgnks1qt0pm4f4E6d+4ccrkcbt++LboKLCpIWSTQkXKw/f39qFQqonuQSCTk916v\nF5lMBsvLy/B6vQgEAvfMp+iwxsT2er1CJatUKrDb7cjn8zIX5OJpMBhE+IkKi2RsUK2LCpXJZFKw\nGXws3zM/K4KO1HgwEokEnE4notGoFFmRSAR7e3uiwNbf3y8nX7Zuo9EocrkcpqampBMQjUZlVnpw\ncCAYEpvNhh//+McYGRkRzfu9vT3Jg/7+fml/ciEjQtxkMskpXaPRyPfc3d0taolmsxlbW1vQarWy\n6EajUSkUdTod2u025ubm0NfXJxLi9BuJx+OYmprC0tKS4HmoJ0+wGJ1P6fOg1+tlxDU5OQmr1Spd\nMo7XOIIbGBhArVYTW+ylpSUYDAa0221sbGxgeHhYit9isSjYo9MaIpVKRcyi1HgwqDDIkzYt7DUa\njTh50oSL8u00JzIYDFhcXMTMzIxgarimkElAKjqxJcyDUCiERCIhYzSOkFmoMJfy+bzkHIuS6elp\nyVGOA4jJOjg4kM4Uc5sgXa/Xi3a7La99e3sbFy9evAc3wy4H2XCJREJ0S8rlMtbW1vDqq69ib28P\nDodDDNuazabgIujlw1GhVqsVM0AyiWiHPj8/j3q9LtR1gtyr1aqYCUajUaTTadHWOWs8VwUC2yqp\nVAoHBwc4ODgQLq7RaER3d7c4FbKCzOVyGBwcRDabFXUsntitVqvMOQn8y+Vy97S4UqmU6GSznVQu\nl6XNenh4eI8yIUGMyWRSFlcAUhGTZqbT6ZBMJqVg6Ovrk2p0YWFBWmJso01OTsrzkhpJudquri5p\ns9LTnPK5y8vL8Pl84j1Bm2oAom3O9q/dbsfBwQG2t7dFhCmdTguwk58dq3KKn6RSKdETp7gO5X7V\neDDotsbvgYh8nU4nls6UXKWUsKJ0bGRHRkZkPKDRaHB8fCyt8/aJGRdP1TzJcfEAgJ2dHVlE6OPQ\naDQE/Le/vy8t23A4LGMtLpC8LotLzo2pM9JoNKTjVq1WBbhL1U+ORmhly8WXuibcaEKhkBTuVFbk\nZ+DxeAR4uL+/LwAtYon6+vqQy+Xks6VXQzgcFrMrupmSYcF7fn9/H9lsFiaTScZzajw8stksZmdn\nYbVaZf1Mp9MiJEdcE908iUMYHR0VI6xkMnlPR5ZBrRm244ml8Xq9iMfjsFqt4izKwu70IYuGT6Ql\n0kis1WoJmJvOtsViEQaDQUaxZGPQM+X4+BhdXV2iF8MCkv4Ku7u72N/fF3ExFkK0Nq9UKpicnBT8\nBTuAHo9HtE3YIaHJYKvVkvW6Wq3KnsZD6czMDMrlshTi9CgKh8Mid55KpUQfZXd397G+4+cq+0+3\n9Vn99fb2yk2u0+mQTqcRCoWkqiNlkAsihV+oKJfL5UStkG1barlThIYeBfSWP80np5MekeeFQgFA\nZ9aaTqdlLjY0NCQLJAuEUqkkXy7tn7PZrCQoqW9Eh3P0QFfH3t5eWVhJYxwYGBDFPZ1Oh1gshnA4\nLDNBKt5x1kbwIlveGo0GtVpNRhj8PMPhsKCK2Zpjh6FUKknFn0wm4fF4sLW19dTy5FkPRVFkDs7Z\nY61Wk/bhwMAA0uk04vG40KWCwaBQYWmjDHSMXNg9GBkZke8xl8sJU4dAXQpvWSwW9PT0IBKJQFEU\nDA0N4ebNm3A6ndK2HB0dlS4Qc4LYEo1Gg8HBQQEeVioVya2+vj4MDw/LZs4OQDwevwfIS4xNf3+/\nANwSiQRarZacxlhksBDJ5/PCbc/n89ja2oLf75exFjn0NLUi5SybzUKn0wkl2ufzYWVlRcyfqOLI\n02sqlRKFy8cFd/0sBDVU8vk8SqUSTCbTPeDtvr4+tNttBINB6V6RMksRIXorcPTENb2vr0+UMdnV\n7OnpkVP6q6++ivfee086cBytUWK+UCgI68ButyMYDGJrawuZTAatVgt+v19GYUNDQ1JkFItFFAoF\nKUpJmQc6nb+RkREcHx8jEAhgbW1N8pzmeQ6HQ7xzfD4fFEXB0dERbt26JXsPMS+Hh4dS4PPQlU6n\nUSqVxC2YbsR7e3titjcxMYGjoyPR1cnn87J/VatVhMNhjIyMQKPRCGid+9JZ48noMz6hWFtbw+jo\nqJwWWOXb7XZMTEyI3gCrUi4mbK2TLkWnOTp9EVjCosNsNktxcHh4CJvNhkAgIKft/f19ScyFhYV7\nXMpoXcoKllS1rq4uqaIbjQYKhcI9raW1tTUB02i1Wmm5dXd3Y2ZmRp7P7XbDZrPBZDLJnKtYLArw\nrVQq4datW8Km4Gtgx4R0JN4A7XZbFnaC0fR6vYwcyuUyhoeHpWKnetfCwgLC4TAymYxsZmR/sKhS\n4+GRy+XkJEJrcTp/6nQ6rKysyGaWzWZFnTCZTKJQKMjJZ2FhQToJHKkRuJrNZuF2u0XjoFwui4ys\n0WiU8YHRaIRWq0UqlRL8SbFYxHe/+10Za5GyRTYAANHNODw8FByNTqfDxsaGKCXqdDrRKjCZTPB6\nvbBYLALKtVgs4tjIccppwx1apLO1Sr15ektQIId4GACyqZtMJnme1dVVxGIxkdadmJiQNjPbsJFI\nBHNzc8IIASBiNWo8PNLpNBYXFwVozWKQeioEFNZqNWEtsE1PzQ+/349sNovDw0PE43EcHR2hUCiI\nbwgB0oeHh6jVauJbQGwIaYA8wUejUWg0Guh0OrEkZ1u+UCigVqshEonIIUir1WJ4eBgvv/wygsEg\n+vv7AUAAiXa7HbFYDLu7uxgcHMTIyIiIH7ndbinUOS6o1+viOQJ0gMbxeFxAk4qiCGDQ7XYLo410\nXt4X/Ny6urrg8/lQKpXg9XpRLBYRDAalS2A0GsXBcm9vTw4UOzs7Io7ETs7jxHNVIMTjcREJmpmZ\nEZfBSqUis0afzye0PbZyyKcmUJALLZ0dCW4xmUwwmUzo6elBT08Pms0mDAaDmCFls1kYjUbYbDZx\neFxZWZHWrKIo4lFPEA1viuXlZaTTaVk0e3t7YbVaYTab4ff7EYlExO6Xpyzyg9neIh2GiU4HO7I0\nOK5YWFhApVIRqpBGo4HL5RI3QKpQer1emcURuFYul6V70dvbi4WFBSQSCfn8SefhCEan08lz8LVT\n8lmNhwe5zyw0aTdL3QHKFFutVszOzqK7uxsffPCBnLj7+/vhdDolj9lBINB0f38fk5OT6OrqEspv\nq9VCqVRCMpmUTg+1Dfj80WhUxlEEUrKdyq7BtWvXxA2UEseNRgPJZBIGgwHr6+si/ZxIJFAul9Hb\n2wuTySQnS3YwCHzkv7OzVavVcHx8jLt374pVL8dYxOOYTCYRtaEOCUFgtOOlvn08HpfXTDt4/hwe\nHgqmhsUyOeikW6rx8CBDhZiWWq0mDJpWqyV28wsLCxgbG8Px8bG4kWq1WqHo0q2UXZ5CoSDt856e\nHphMJjmgkYpIJdJyuSyaFxaLRTpV/J5zuZxgXo6Pj6XDVq1WpRum0WhErnlgYEDMwVZWVu7pInR3\nd0uuUYgsmUyK7g672KOjo2i1WiKRvLm5CbfbDafTiaWlJVEQ5egwGo2iXq8jFotha2sLR0dHSKfT\n0s2IxWJoNpvIZDLI5XJYW1tDPp8XKX+OB/meiEcDIOt5q9V6rO/4uSoQaHBBIBZRrhSVoWUoqXaJ\nREJ4rV1dXdjZ2YHL5UK9XpdZlVarRaFQwNzcHNbW1gRFe9pzOxgMIpfLiRESAJk9NZtNKQ5YzZnN\nZgG/FItFFItF0dfP5/NIJpNyLc6OOJPmDJmdgnK5LDMoIrkZrKhpTkPOLkcgkUhEqJsejwdarRaH\nh4dot9vioHbaLpUJzjksefBkiJAZQVYFfSjq9bpgG8LhMIrFonry+pCgeiCBRiysOBfl2Izfk9/v\nh8/nE80EMlzq9brkMr002OXKZDLY3t6WwpB23XS4o7UuC9/e3l5cvHgRx8fHyGQyIua1uroquIFY\nLCbuqHSbo0NqX18fgsEgjo6OBHRLmlmxWESz2ZRTZqvVwsjICAAIBqG3txder1dmvlQU5eeh1+sx\nNDQEq9WK3t5ecVOlVTvbyZQrp1srN6O9vT243W7cuXNH2q3sILBoJ5peq9Via2tLFmw1Hh48rVLt\nj06jVE/k2IeA0NXVVdlYu7q68NnPfhZXr169B+zd29srjBu9Xo+enh6hROr1enFFZDHtdDoFL0Dw\nHos/l8slzC0KC1F1liZ1Go0G6+vrMqqtVqsyHmbnqlwui4jT/v4+pqenxV2yUCgglUqh0WiIZDoL\nG7fbjatXrwo1MZlMIhgMSrFMsLiiKNBoNOLk2mw2xa8ln8/j8PAQIyMjcuDVaDTweDziO8LDJItm\nAnWpy0BDv8eJ56pAACAgOLqH8dRQqVQEIENde3oKcK7D05SiKEgkElJATE1NIRgMolqtol6vy7yW\nc3vKyVL5jop3bN8TyRuJRBCLxdBqtaDRaDAxMYHj42P09fXh8uXLmJmZgcViEW4r20K1Wg0ajQYz\nMzO4cOECCoUC1tbWEAqF4HQ6JUmtVqv4LhwcHAiQjSON4+NjKQTK5TJKpRIODg4QCoVEGGdoaAj5\nfB6BQEBsnYl7IOCFoE29Xi/gH77vnp4euFwu0Q8nMGx7e1tcKXd2dgQUp8aDoSgKAoEAjEajbEgs\nfkmX5aauKIrMV6vVqpgUsajw+/1SAFMznu51pHbZbDZBiBNVztkumS+lUkmUOVkM006WbXiKDy0t\nLckpkUh22iuz7XnaoZEANuJm8vm8nBJpRJZOpwUBTuGx4+NjKfYPDg6wtbUlSPlIJILV1VVMTEwg\nl8shm81ie3sbm5ubwrggsp0nvmazKayi7e1trK+vY3R0VDoSZIywuB8ZGZH1Ro0HgzN74g54Oj84\nOJATNcXn6vU6AoEADAYDotEoCoWC+A5wTOr3+yWfOO6lp8fR0ZGAC0OhkGBWqI1AlgM7F6VSCZub\nm9BoNMjlclhdXYXRaBQTpEwmAwCCU9FqtQJipJAWCwSyIIhn0Gq1MBqNcLvdCJwY2bVaLezs7GB1\ndVXuTR76ePo3m81IJpPy3AQrT05OYmJiQrAWo6Oj4l7KsbBer7+HPcfineMKAswpBDUyMoKDgwP4\n/X45RD9OPFcFAjdhn8+HSqWCTCYjDANuVPv7+/jWt76FtbU10dimgxgBSwS8sKhYXl6Wlm44HMbS\n0pK0YAk+oWKWx+OB0WiUsQJxAWazGcFgEF6vFzs7O4K8NZvNqFQqWFpaEtwDcQculwvHx8fSjm80\nGtJmLZVKWFhYkM3Z6/Vic3MTo6OjsFgsMBgMmJqakjYbT2J2u11m1OSFj4+PCxiu2WxCp9MJvsHv\n98sJlS5hnBvT4Ofg4ABzc3MAIGMMnmLT6fQ9oEd6uLNNp8aD0Wg0sLGxITQqgoloOEa51UKhIMDZ\nfD6PWCyG733ve9jb2xPQIgGq9B8geNbtdsNiseD69euy6JEmxtME2/3E89DldHp6Wk5mtOL1eDwy\nqgoEAgiFQtBqtZicnBSxl6GhITnBuN1ufPaznxWp2sPDQ8RiMTQaDYyNjcmMNxgMolKp4LXXXhN8\nEEGCXNiIvwE6s95CoSDjFmoq6HQ6mT+73W4Eg0FxSSXAkaCwVColp9V4PC5FWCaTkXb0aeyOGg+P\n3t5eWRcLhYJ0XVOpFBRFgclkQjQaRTweRyaTkcLBYrEI9TydTqO3txfj4+NIp9MC3H3ppZdgNBqF\nugh0LLv39vYwODgokuHr6+syZm02m2g0GuLeOz09LboIwWBQsFxcE1lEEqvGkSyxNqQ0Epi4tLSE\n999/HysrKyKYRNVZu90Or9eLiYkJ6eKx00G2XL1eh9lslvvB4XBgbW0N8/PzuH37Nmq1Gmw2m3T2\n7Ha7yJK7XC5RWuShkkU8mWVkkpGxRmM/k8kkRclZ43lhMeiBDtgil8vhL/7iL1CtVkUkiS0gFgJX\nrlyR+aXNZsP6+rooJprNZrnxu7u7EYvFoNPp4HA4xGCGrbJoNCpVH1G2a2trGBoawvHxsVAdo9Eo\nurq6xL9geHhYHL5oitRsNsWql18egTuLi4uo1Wq4efOmYBiI5g2Hw9LF0Ol0yGQyGB8fRzKZRDqd\nFtGMra0t3L59W0xpCJjke1xaWpJ2YDAYFJ1+t9uNWCyGbDYr2AaCh4jIXVlZkdMpxXIajQZsNpuM\nSvr7+6VartVqglvgd6cGgFOfRb1eFwfPbDYLj8eDRqOBWCyGo6MjcTE8OjqSkzCBpdlsFolEAtVq\nFR988IGcZLh4sH2aSqVkBLa7uwubzQaHwyFqhGx9EhxFXYWNjQ3xMchms4jFYsJt51gpEAjAbDbj\n9u3bePfdd3HhwgV84xvfEJxKPB4XkOPu7i70ej0SiQRcLpdoEpBS9vbbb2NyclJGHfRSoKLdaQ0G\nFs88Zb733nsIBoPQarWiGwJAtFF4KqxWqzAajdjf3xfhJ5ryDAwM4IMPPsDR0ZG0btkFI2ARah6f\nDj0AwYdMTU0hl8sJxoWteAK+T7MaCH4mA4pjsu3tbRkvpVIpLC4uwm63I5lMih3y3Nwc8vk8Pvjg\nA5RKJWG6hMNh6bBylFCtVsVhkeMBnuIPDw8RDofh8/mQSCRQLBbR09Mj7Bee/Ov1OtbX14Vi2N/f\nj2AwKKBICpcpioKpqSnBTxDITvXSWq2G+fl5AYXfunULhUJBdG3oHnya6VOtVsVEj52SpaUltFot\nhMPhe9Qjd3Z2ZGyys7ODoaEhAe6azWYxnjr93T1qnNms6WmEoihfA/Cvn/brUOOx4j9qt9v/99N+\nEc9CqHn8XIeaxyeh5vFzHWfK4+elQLAD+CI6bmT1p/tq1HjE0AMIAPh2u93OP+XX8kyEmsfPZah5\nfF+oefxcxmPl8XNRIKihhhpqqKGGGn+98VyBFNVQQw011FBDjb+eUAsENdRQQw011FDjgVALBDXU\nUEMNNdRQ44FQCwQ11FBDDTXUUOOBeC4KBEVR/p6iKFuKotQURXlfUZSXPuLx/1BRlJuKopQVRUkr\nivJniqKMP+Rxv6MoSkJRlKqiKN9RFGX0EV7Lf60oSktRlN9/nGspijKgKMofK4qSO3nsnKIol89y\nLUVRNIqi/K6iKJGTx2wqivLfPcr7UxTlU4qi/DtFUeIn7+MXz/q5KIrSoyjKvzx5D/uKonxDURTX\nR312P+vxrOTxs5DDJ4953Dz+FTWHn16cNY9P/uaFzeUXej2mu9az+gPgl9Gh0vwqgEkA/wpAAYDj\nQ/7mmwD+YwBTAGYA/Ht0KDm9px7zWyfX+XkA5wH8WwBhALoPue5LACIA7gD4/bNeC4ANwBaAPwRw\nBcAwgM8DGDnLtQD8NwAyAL4EYAjAfwCgDOA/f4Tr/DyA3wHwNwEcA/jF+17jozz//3ryeb4G4BKA\ndwG887Rz5Vn+eVby+FnJ4Y+ZxwkAv6fm8PORxy96Ln+MPH7m1+OnnnCPkJDvA/jnp/5fARAD8Jtn\nuIYDQAvAq6d+lwDwD079vwVADcDf+gnXMAFYA/BZAH91X0I+0rUA/CMAb3/Ea/3IawH4CwD/231/\n9w0Af3TG67QekpAf+ncn/98A8JVTj5k4udbLTztfntWfZyGPn6Uc/mnlsZrDz18ev2i5/NPI42c1\nl5/pEYOiKFp0Krvv8nftzifwFoDrZ7iUDUAbnUoMiqKMAPDcd90ygB99yHX/JYC/aLfb37vvNZ7l\nWr8A4ANFUf7NSZvttqIof+cxrvUugM8pijJ28nezAD6JTpX+uO/vUf/uKjoS3acfswZg98Ou/bMc\nz1AeP0s5DDyBPFZz+MnFTzGPgRcrl1/Y9fhZ92JwAOgCcL8xexqdKukjQ1EUBcA/A/CDdru9fPJr\nDzrJ+bDreh5yjV8BcBGdL+P+OMu1ggD+LoB/AuB/BPAygH+hKEqj3W7/8Rmu9Y/QqRxXFUU5RgdL\n8t+22+3/53He3xnfixtA8yRRz3Ltn+V46nn8DOYw8GTyWM3hJxcfO4+BFzKXX9j1+FkvEH4a8QcA\nptGp6M4ciqL40Unmz7fb7cOP+Vo0AG622+3//uT/5xRFOQ/gPwPwx2e4zi8D+BqAXwGwjM7N8s8V\nRUmcJLYaL148dh4/ozkMqHn8sxovWi6/sHn8TI8YAOTQAW647/u9G0Dqo/5YUZT/BcAbAD7dbreT\np/4phc7s7FGuewWAE8BtRVEOFUU5RAcM8vcVRWmiU6k96rWSAFbu+90KOsCWs7yufwzgH7Xb7T9p\nt9tL7Xb7XwP4pwD+4WO8v9PxKH+XAqBTFMVyxmv/LMfTzuNnMYeBJ5PHag4/ufhYeQy8sLn8wq7H\nz3SBcFIh3gLwOf7upD31OXTmPj8xThLxbwL4TLvd3r3vulvofHinr2sBcO0h130LHdTtRQCzJz8f\nAPi/AMy22+3IGa71QzzYipsAsHPG12VA50Y9HS2cfJ9nfH8Sj/h3twAc3feYCXRuqvd+0rV/luMZ\nyONnMYeBJ5DHag4/ufg4eXzy2Bc1l1/c9fjjohyf9A+AvwWgintpNXkAzg/5mz8AUATwKXQqKf7o\nTz3mN0+u8wvoJNy/BbCBD6E5nvrb+1Gzj3QtdGZmvjF/mQAAAZVJREFUDXQqyxA6bal9AL9ylmsB\n+D/QAaG8gQ415yvo0Gz+p0e4jg2dm+oiOkn8X578/+AZnv8P0KEHfRqdiv6HUCliz1UeP+0c/ph5\nvHmSd2oOPwd5/KLn8sfI42d+PX7qCfeISfnr6PA8a+hURVc/4vEtdCq6+39+9b7H/TY6NJIqgG8D\nGH3E1/O90wl5lmudJNH8yeOWAPzaQx7zodcCYATw+ydJUTlJmP8BQPdHXQeddtzDPp///QzP3wPg\nf0an5bgP4E8AuJ52njzrP89SHj/tHP6Yefw1NYefnzx+0XP5Y+TxM78eq3bPaqihhhpqqKHGA/FM\nYxDUUEMNNdRQQ42nE2qBoIYaaqihhhpqPBBqgaCGGmqooYYaajwQaoGghhpqqKGGGmo8EGqBoIYa\naqihhhpqPBBqgaCGGmqooYYaajwQaoGghhpqqKGGGmo8EGqBoIYaaqihhhpqPBBqgaCGGmqooYYa\najwQaoGghhpqqKGGGmo8EGqBoIYaaqihhhpqPBBqgaCGGmqooYYaajwQ/x9zC/fIN1z3yQAAAABJ\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7feb0812c3d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a1=plt.subplot2grid((2,8),(0,0),rowspan=2,colspan=2)\n",
    "imgplot = plt.imshow(rimg)\n",
    "a1.set_title('r '+id1.astype('string'))\n",
    "\n",
    "a2=plt.subplot2grid((2,8),(0,3),rowspan=2,colspan=2)\n",
    "imgplot = plt.imshow(iimg)\n",
    "a2.set_title('i '+id1.astype('string'))\n",
    "\n",
    "a3=plt.subplot2grid((2,8),(0,6),rowspan=2,colspan=2)\n",
    "imgplot = plt.imshow(zimg)\n",
    "a3.set_title('z '+id1.astype('string'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To go through the whole list of cutouts, the code from this notebook would be best put into a Python script and run from the command line, saving the images or making a figure showing all of the candidate objects at once."
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}