Basic_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Customer                                 object\n",
       "State                                    object\n",
       "Customer Lifetime Value                 float64\n",
       "Response                                 object\n",
       "Coverage                                 object\n",
       "Education                                object\n",
       "Effective To Date                datetime64[ns]\n",
       "EmploymentStatus                         object\n",
       "Gender                                   object\n",
       "Income                                    int64\n",
       "Location Code                            object\n",
       "Marital Status                           object\n",
       "Monthly Premium Auto                      int64\n",
       "Months Since Last Claim                   int64\n",
       "Months Since Policy Inception             int64\n",
       "Number of Open Complaints                 int64\n",
       "Number of Policies                        int64\n",
       "Policy Type                              object\n",
       "Policy                                   object\n",
       "Renew Offer Type                         object\n",
       "Sales Channel                            object\n",
       "Total Claim Amount                      float64\n",
       "Vehicle Class                            object\n",
       "Vehicle Size                             object\n",
       "dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Read the data Frame\n",
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from pprint import pprint\n",
    "data = pd.read_csv(\"data.csv\",parse_dates=['Effective To Date'])\n",
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Customer Lifetime Value</th>\n",
       "      <th>Income</th>\n",
       "      <th>Monthly Premium Auto</th>\n",
       "      <th>Months Since Last Claim</th>\n",
       "      <th>Months Since Policy Inception</th>\n",
       "      <th>Number of Open Complaints</th>\n",
       "      <th>Number of Policies</th>\n",
       "      <th>Total Claim Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8293.000000</td>\n",
       "      <td>8293.000000</td>\n",
       "      <td>8293.000000</td>\n",
       "      <td>8293.000000</td>\n",
       "      <td>8293.000000</td>\n",
       "      <td>8293.000000</td>\n",
       "      <td>8293.000000</td>\n",
       "      <td>8293.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7988.177822</td>\n",
       "      <td>37787.118654</td>\n",
       "      <td>93.189316</td>\n",
       "      <td>15.079465</td>\n",
       "      <td>48.136501</td>\n",
       "      <td>0.389485</td>\n",
       "      <td>2.965634</td>\n",
       "      <td>432.413355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6840.106687</td>\n",
       "      <td>30393.997287</td>\n",
       "      <td>34.498133</td>\n",
       "      <td>10.092616</td>\n",
       "      <td>27.832586</td>\n",
       "      <td>0.915243</td>\n",
       "      <td>2.390264</td>\n",
       "      <td>288.079674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1898.007675</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.099007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3982.266087</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>268.819985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5789.850900</td>\n",
       "      <td>34220.000000</td>\n",
       "      <td>83.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>384.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8960.280213</td>\n",
       "      <td>62452.000000</td>\n",
       "      <td>109.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>547.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>83325.381190</td>\n",
       "      <td>99981.000000</td>\n",
       "      <td>298.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2893.239678</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Customer Lifetime Value        Income  Monthly Premium Auto  \\\n",
       "count              8293.000000   8293.000000           8293.000000   \n",
       "mean               7988.177822  37787.118654             93.189316   \n",
       "std                6840.106687  30393.997287             34.498133   \n",
       "min                1898.007675      0.000000             61.000000   \n",
       "25%                3982.266087      0.000000             68.000000   \n",
       "50%                5789.850900  34220.000000             83.000000   \n",
       "75%                8960.280213  62452.000000            109.000000   \n",
       "max               83325.381190  99981.000000            298.000000   \n",
       "\n",
       "       Months Since Last Claim  Months Since Policy Inception  \\\n",
       "count              8293.000000                    8293.000000   \n",
       "mean                 15.079465                      48.136501   \n",
       "std                  10.092616                      27.832586   \n",
       "min                   0.000000                       0.000000   \n",
       "25%                   6.000000                      24.000000   \n",
       "50%                  14.000000                      48.000000   \n",
       "75%                  23.000000                      71.000000   \n",
       "max                  35.000000                      99.000000   \n",
       "\n",
       "       Number of Open Complaints  Number of Policies  Total Claim Amount  \n",
       "count                8293.000000         8293.000000         8293.000000  \n",
       "mean                    0.389485            2.965634          432.413355  \n",
       "std                     0.915243            2.390264          288.079674  \n",
       "min                     0.000000            1.000000            0.099007  \n",
       "25%                     0.000000            1.000000          268.819985  \n",
       "50%                     0.000000            2.000000          384.000000  \n",
       "75%                     0.000000            4.000000          547.200000  \n",
       "max                     5.000000            9.000000         2893.239678  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>State</th>\n",
       "      <th>Education</th>\n",
       "      <th>Coverage</th>\n",
       "      <th>Marital Status</th>\n",
       "      <th>Location Code</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Vehicle Class</th>\n",
       "      <th>Vehicle Size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8293</td>\n",
       "      <td>8293</td>\n",
       "      <td>8293</td>\n",
       "      <td>8293</td>\n",
       "      <td>8293</td>\n",
       "      <td>8293</td>\n",
       "      <td>8293</td>\n",
       "      <td>8293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Oregon</td>\n",
       "      <td>Bachelor</td>\n",
       "      <td>Basic</td>\n",
       "      <td>Married</td>\n",
       "      <td>Suburban</td>\n",
       "      <td>F</td>\n",
       "      <td>Four-Door Car</td>\n",
       "      <td>Medsize</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>2535</td>\n",
       "      <td>2498</td>\n",
       "      <td>5041</td>\n",
       "      <td>4818</td>\n",
       "      <td>5225</td>\n",
       "      <td>4252</td>\n",
       "      <td>4213</td>\n",
       "      <td>5819</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         State Education Coverage Marital Status Location Code Gender  \\\n",
       "count     8293      8293     8293           8293          8293   8293   \n",
       "unique       5         5        3              3             3      2   \n",
       "top     Oregon  Bachelor    Basic        Married      Suburban      F   \n",
       "freq      2535      2498     5041           4818          5225   4252   \n",
       "\n",
       "        Vehicle Class Vehicle Size  \n",
       "count            8293         8293  \n",
       "unique              6            3  \n",
       "top     Four-Door Car      Medsize  \n",
       "freq             4213         5819  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['State','Education','Coverage','Marital Status','Location Code','Gender','Vehicle Class','Vehicle Size']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f48f4d04290>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f48f4c7f150>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f48f4bf3e50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f48f4b67310>]], dtype=object)"
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     "execution_count": 50,
     "metadata": {},
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    {
     "data": {
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uyMxjgWMjYuFjSpL0GIvAEdkTOL7qGavng/oZq+eD+hmr59NkZOafAQ8ssmqx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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f48f4d0c190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#check general details about the customers\n",
    "data.hist(['Customer Lifetime Value','Income','Total Claim Amount'],figsize = (15,15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f797205e3d0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79720b4610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Total respose\n",
    "data.groupby(['Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f797232ecd0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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f7A/8ekTU7u421h6StqE44eiG3Fmmkb/rw01dJy/pBRHx9XHj6qbOayHptPHF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\nKxYCpweQdSEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7971f14450>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sales Channel and Response\n",
    "data.groupby(['Sales Channel','Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f796f543810>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IKH1D/taIuKMvX4y2N2DJ/qFr+wHsQrpLvgx4KckHL1n/OvnvO4H/IC2K8mRS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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f796f4e9bd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Education of the users and their response\n",
    "data.groupby(['Education','Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f796f4a9f10>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WNUlD94pNKW17ycXVPFb+A8DawDttn1tKR+bPth/pnMzZoy9GnCNdbP9rT93r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\n/mSJyivKJiAtx3i1pItYesb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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f796f3d8810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#State of the users and their response\n",
    "data.groupby(['State', 'Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f796f39b8d0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Mk8n2dB955JHj7u++/9v9vJgcJeiYPd+LyeiYSMNM6JiY2fG9mBzd01G3XbM5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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f796f3b3250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Employment status of the users and their response\n",
    "data.groupby(['EmploymentStatus', 'Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f48ef5d2590>"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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TAWQlh7pnuxRNB5CNHMamk7yZWcZck28N1zx7kcen1cE1eTOzHuUk35Gi6QCykkPds12K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\neTOzjDnJm5llzEnezCxjTvJmZhn7/+qZzEFO+xzRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f48ef60be10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Gender of the users and response\n",
    "data.groupby(['Gender','Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f48d47da890>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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eCfxzOisjp7/iAn7cMX1PastFuy+voBjcv1tmMX3wJNufsv1AepwL1PlYSqff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\nf2FsuCqUFrTKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f48d476d210>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Marital Status of the users and response\n",
    "data.groupby(['Marital Status','Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f48ef2b9690>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0aaQ6XRqpjlnma6Q6XRqpTpdGqrPiLMsf3gAAAPbAzluYnTcAAOAYO28AAACL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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f48ef2b9390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Which type of cars will be insured more\n",
    "data.groupby(['Vehicle Class','Vehicle Size','Response']).size().plot(kind='bar',grid=True,figsize=(15,15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f48ef0e4710>"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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V6d93Aif0TsvhAXwdeGbP+B7A16uua4DtW53+fSHFxdZfCVxfdV0DbN9NwPY9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\nQHx3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f48eef0dfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Location of customer and response\n",
    "data.groupby(['Location Code','Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f48d48b99d0>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Yp7Eu10h6OfBL4ItmVnlsCE9KdIIyvcKpN8Kpd0r0GtSprpk8kl7iEYYKv7aS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\n3YzZ40raiAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f48d48a7ed0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Policy of customer and response\n",
    "data.groupby(['Policy Type','Policy','Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JBC5ElU8yuvyuPAAu10Hi8cNodKYJlrWT6tVr0qxZKwoKkhCJUL16GosXf05a\nWhq/BJMmTeLoUS8asbkMsCgsXMPgwTeyevWyX9TmHxF2wPcvgm+++YbaTieZ5v+maN2ZDeiEfyOQ\nUaYMn82bR9yyeAed8Gehln41lOTOQi1tP8XFzlxoZk9dNO0zhgZGwx06MHPOnB/NDf9vuPHWW5nj\n97MBzaNf7vdTpnx5lqOW8kQ068iBulnaoK6oLvE4XTp0wOfxULlcOaZMmUK1atXIyMhgsWUxGw32\nrjWyp6DuriBK5pb5/xXzI7EY/37sMbZlZJCBUtxTqKIpNOOSmGsnZlGJuqUxc8zSpCSuvfFGAB58\n+GH2VqzImz4fk4AleDnCORTQnBgu02ICQvFeaOWIRt3s27cPgA8++ICFC1cQj18H9AIGAZ8gkky1\natWpWbMGxfVGQWcBbiCXYPAg1157A2XLViAWs7CsRDm7JFSV/w1Viw+jaj5EWloO06a9S/Xquowv\nLy+PUaOeIxarjJLzByQlzWXmzPd54YVnqVJlHx7PQRo3PvUntsM8hCYRXw/cy7FjTenZsw/33HM3\nq1cv5bzzzsHp3GGO7QrMwOmcgd//Dpa1DZcr0b+JlCu3krp1T+HAgeocO+YmL+8oGzbsZPjwW3/k\nuieGgoIA8bigTrnEHa5KVlbWL27zD4lfEij4X/xgB3z/p/jyyy+lvN8vd5kg5CAQlwk4jjQBzUrJ\nyfLyyy9LvRo1pKkJjGaaYCggp5rAZnsTML0M5Erzdy/TTksTGE4GuXbQoJOWMxAIyPbt22XSpEnS\npV076daliyxYsEDC4bB4LUucIDeba11h+tDCyOYDaQIy0Mjhc7ulZ/fuUhOkHMjtIPebYPZppo2+\nIA4js6dEn68BqW5ZMvjqq+XQoUPy+OOPS72aNSXF45ELQG4zAdsGJmDbFiTJ6ZRTfD7pCVLPsiQz\nOVmeHT1a4vF4Uf9ycnKkQoWKAukCPgFLoJL5nSnQV6CjgEvgFIEOApeKZXkkPz9fNm/eLKmpGSYg\n28WcW0PAIT5fpsyZM0dmzJghfn+GQBdxOM4QcEtKSkPx+TKkTJmKAucI3C3Q2wR0LYEkgV4CF0uV\nKrXk/fffl549e4nL5RWXyyu9el0ihw8fFhGRl156Sfz+JiWCvjdIamqmHDhwQNLTy4llXShwo3i9\nraV9+87fu7/33z/CXKtlifPvE7CkffsucuqpLWT48NukcuUakpZ2iqSm1pa6dRvKE088IQMHDhS/\n/1SBB8y9G+YTAAAgAElEQVR5V4nPlyHlylUWqChwhsDNAheKy+WT7OzsX/SurFixQjwev0AZgVsF\n7hens5n07dvvR48/evSojBs3Th5//HFZt27dL7pmacAvDPj+7qRfJIhN/v9z3PH3v0sZn08apqdL\nms8n6V5vURbLAyCZTqeU9/mkts8nDkOEPUzmjddk+iSDpIJcAPI3k+HiN8f+zWTLlDdEWrl8+ZOS\n79133pFUn0/K+v1SLj1dvvjii+99P3jwYEk18o405Nu7xP8tTDaPzyiohiBey5LKaOZR4ribjMx3\ng5xtZL3RfHee6Us6SHcQj2XJhg0bimR45OGHpaLTKUnmWl5zvaogFTMzZdSTT8qAyy+Xu+68U+bN\nmycHDhwQEZGFCxfKiBEjpH79hgIpAk0EUg2BdxOn0yfPPTdWzj67mzRo0MQohs6GJN3Su3cfERE5\n44yORim4BSoLXCtwuYBHHnroIZk2bZpceuml0rt3b7n++mFy3333y7x582Tq1Kkyd+5c8XrTSpBn\nE4HTBG4QqC7gEafTL3PmzJFHHnlMfL6aAhcI9BSoIH5/mmzcuFFGjx4tXu+ZJcj7LnG7k+TNN9+U\n1NSm3/vc4XDLlClTZOfOnSIikpWVJZblEihnSH+kUUJuo3wGid9fV66//ib55JNP5LPPPpPCwkIR\nEXn44YfF6exQov07BDzicNQ3548o+s7rrSfTp0+XeDwue/fulf379//s83f33XdLWlqalClTRkaM\nGCEVKlQTcIhlOaVTp3MlJyfnB+ccPnxYqlWrLT5fM3G724rfny5z5849qee+tLDJ38YJYd26dTJn\nzhxZu3atpHm9cpoh7dNBki1L7gW5CyQNpLEhxCYg7YyCuMsQZ2fze5A55ipDmpXR2cTfzf+7du06\nIbl2794taT6fDDXt9QMpm54uwWBQRET2798vEyZMEBeasjnSkO91JUi9G0hSCZlGgtQHsczvB8xn\nF5n+1TN9qGL69Xej3DqaY9INuZ/ToYOIiBQUFMjgwYMlDeRO09YFRo5+II3r1RMRkbHPPSepSUlS\nNz1d0v1+ufnmm8XnyxTL6ihQT6CCwD2iKZFegX+Ix5Mqe/fuFRGR1NRM0XTLFIEksayaMmrUKAmH\nw+JyJQvUMd9dX4IIO0ubNmea9loL1BCHI0luvvkW+fzzz0VEZN68eQJOgdvMOclSnNpZQaCNwFlS\nu3YDOe20083np5hZRopABWnf/mz57rvvxO9PF7hMYIhYVoZYlkscDpe43ZmGhHsLeMxPFfF6U+Q/\n//mPVKlSU3RW4zGWdT2xLJc4nSWVyXBJTy9b9GzEYjFZvHixjBo1Sny+MgLXCfxToIXAqeZvhxSn\nuY6QlJQaMmvWLOnU6VxJSkoVrzdZLrjgYgmFQt977vbu3SuzZs2SypWrG7maCzQUcMvEiRMlFosV\nKZ8fw0MPPSQez+klZL9cGjZsdoJv46+DX0r+dqrnXxRX9OnD9hkziEejbEW9whbqz3ah/nA/WrDt\nObSMQxU08OtAg5vpqK8/gdHmuESuyBhg+hdf0L59+5+VZ/bs2dx6+eVcnptb9Nm45GS+XL2aVStX\nMnjQIMp7POw4dgxLpKiyaHU0jyWAZtsUop7kRMbSHDQls9D0qQyamXS56UtigVcQzfyx0Gwd0PjF\nm4A4nXiSkpBolGAoRPMSx4TRPQzclkW/q67iuuuu45yzzuK6WIwypo2XgSjXmJERI2kjNE/oOaA7\nHs/7HD16CBEhJSUNDTZaaOrjZiwrRrt27VmyZAux2BA0ybYbGoYGp3M2sdgy1P9f3VznZWAPDoeL\nbt3O5/PPl5Cfnyiz0BjNR3KgUZNqaEQlFZdrC9FooRmdTDQQ/RWwEYcjwBlntKZKlQosWPA5eXkB\notE6JhWzEMt6GYfDRSx2BH2Shpq7cQCNIp0PtAZ24XC8waWX9qZ27dqMGvUZ4XBih+j9lC37AYcO\n7SMWi9Gz5yUsWrQclyudcHgPTqeb/PxcNDR/MeDD7X5eN8sJN8bny6JZs7KcfnoLJk78nMLCC4E4\nPt807rzzckaO1LTbf/3rYR555FHC4SgiqRSXLASYhdO51ozDT2P48Nt49tm1FK/AzqZSpQ/Jytr5\nX8/7NWGneto4KaxdtYoOpk5OFkpiZ6MkuhrN4MlFyS8PpQkPmsM+HC19MAXNB8kwv/PQmt5V0TLP\nuZZF/fr1ORHUqlWLrHCYY6btdcDRYJBDhw5x7aBBXBkM4g4GOYJuHuNGw5NZaI6+oHXFDwKfoLR4\nFFhhWThEiKIhzUZoCupmNGPpelThrUXr+JdM5HOjAdx+sRhlCwp4z1xnB6pMktAcmgygUISv3niD\nKW+9RaYhfsxYeIFoUVKthZJhIRrOPobT+R7dup3Pc889x9dffw1FW8O0RAtLOBE5l2XL1mJZiSJt\nZ6EpnO1wOPLxetcTCMRRZZG4TmWgHPH4Wj76aD2awbPRjHAKmj8VQldvgCqNx4hGM4GbjORz0FUb\nZYAC4vFkFi9eiu7S3BDLWoZIOxKZOSKtqFVrBzt2OIjFPBSr4YqmvUTJhhqkpp7CgAEDaNWqFS++\n+DK5uZ8Ri5XB71/OvffqfsZvvPEGixZ9S0HBtShdraZRox2ULZvJsmU5hMOHsKx9JCfHefLJR1m3\nbj11617MkCFDaN++C4WFTYxsToLBU/nyS83WWbp0KY899gyhUEc0lH+sxNiBppr+NJ/m5+ebrKvu\nvPTS6wQC9YBUkpIWcMEFPX7yvHg8jsPxx8izscn/L4qGjRuzedcu9sdiuFGq+Bx9IDqh2dpfoUTn\nQSloHcXpYaegVPI8Shn7TBubgMdR0uzWvTvly5cnEolw7913M3PaNMqULcsTo0fTrl07wuEwLpcL\nh8NBgwYN6NSlC2NmzcJjzs+Ix+nUrh3JXi9z0RyRKEq216HkvA7N+EkvW5Zgbi4dolFmorMOp2UR\nE6EVqgj2oFlCOWgy42lQlHPfAF3M9jWaVJiOKpE0NJU0jhL5YZS+xpjvstGZxx5gcTRKqpEz27Sz\nEwhbDjzuZYTDXcw3a1F1qyMfi8GMGR/x4YdZqPoV02p51EoeC3iJRDphWe+hKqcmDkdVUlNXEgjk\nEwqVR+cvn6DW9SFznYFoIYsLUCs+sb1GDZTQV5R4KhIbyDRDVRuoAnoZVbOtzJOQiapXC5FN6Fyq\nEiB4vVnUrVuD7ds/N23tN99tRRVeDjqrCVFYuI+8vDwqVarE6tXLefTRxzl06Ah9+jxTtI3otm3b\nKCioSjFV1WX37oU89dQjXHzxpcAq3O5kJk58lUsuSRTWNve0QT3WrNlGNFoPEByOrYTDGWRnZzNr\n1ixEqqK1k7RdTfbtbeRcRI0aFTkesViMq68ezOTJk7Esiy5dzuWJJ/7FiBH/IhgMcPHFFzNmzNM/\nOG/58uX07n05+/btpFatekyfPoXTTjvtB8f9lrDdPn9BLFu2jPnz5/PsqFEcyc7GK0If1JLvj76q\nuWhxs3PQjOoBKJ3MR8m+GUq8B1AbdA5KU01RqlkExF0u5i5YwBuvvML8t96iYyDAIXRTk9OaNmXJ\n8uU4nU5GPvAArc44gyt69eKoqdV/HZpEuBG19OuiC82+ROmxm+lLEBjlcDD7s8+4ondvco4dIz0l\nhauGDuXpJ5/ECQxBqWw86iqKo7WHMsx3fjS58SvgTHT2EsRsqm6u5UaTE3PQhVyVTT89ZmzeR6n0\nG3OtHHRmkQsMGTaMAweO8Omnn+JyuYhEIhw7loMST390cVVrigtMzzJXPM/8PxHoAARp2HAL4XCU\nffv2EI1GicViiLjQFQWJZNWtFKu1y1DyvtN8FkMTVqOAA8uK43S2JhqtbEY3D0397I9azLPRak63\nG3kjqKvqSjMKK3E45pCcXJ9oNJtQKJd4PIZa+mHz1LjNqCeSY9WEcDhceDxuLrywG2+99Rou1w9t\n0RkzZtCv3w0UFPQH/Didn3P66WHWr19Pfv4F5slYR9myX7Bnzw7i8Tgvv/wyBw8epHnz5tx6613s\n2ZNHLBYFYng8ScRiR0lKKkdBwQHU1bPK3NVs1NwBr9dLYWH+D+R54omnGDnyBQKBvsB6LOtzqlTJ\n5I03XvrJbWdzcnKoVesUcnPPRpXvN5Qrt4Rdu7b9oMT3L8HvtpnLrwWb/H8bPPXkkzz6wAPUBXZZ\nFng8nHX0KI1RSmiAvgJxlNj+hlrLM9BXPx99ff2oa6gRSnJrgdtKXCexEOzMPn34+JNPuLaggFRz\n7vOWRWWHg56xGAXAZL+f9t26kT11KotQi7y3aUeAf6HlJpqjdudMYDCqHBah60GdbjedIhEKULdV\nIfpaR9HNZZqYc5uhi7OyUe/uctOvQtNmoornw6Z9QRUBFMcGEnsYYGTKQS38c8y4zUdt5D2As0YN\n1qxfT3JyMkuWLKFLlx4Eg31Q6zmxDcYhoAfF2+EsQ+cgvVEyWkBSUmNcru1MmvQC4XCYIUNuJBhs\ngFrdUSNFG9TqT7Q5wUiUihJ1MyOdE+gDBHC53sHttohE4mbBVlfUyZdrjjuKqrOSJRrGoTOCmvj9\nH/OPf1xNcnIy9933IOHwxahl/zE6H3SYUSyDPk0u9GnKNXdBt7SvXbs6X3/9VdFGPgmICHfddQ+j\nR4/G5UqiSpXKPPLISIYMuY/c3OIFZCkp4/n884/o3/9qduyIUViYicezlj59ejJ16kzj96+KRqau\nQFcuHwWeJympDIWFR83dbwikkZn5FTt3biUlJYWcnBw+/PBDIpEIb745hXnz/KibaBnqRAzh98/n\ns88+pm1bLSQyd+5cpk2bQWZmBq1bt2LAgL9z7NjAInlTUyfw1Vef0KRJE0qL383nb1lWN4p38npJ\nRB77ieNaoxGly0Rkammva+PkkZOTw4h772VoOFzkdX4uGCyqVeNC3T0d0ZW8X6FWdiOUql5ECbAs\nGshsjVr+iQVXIcxKW1QxnAKJTC5eQImzJnBMhEtjuqwpHWgcCHD40CFykpKoVVjIZtT+TDVtJzaL\nOQ2181LQB86N0koDYFMkwgGUCp0olSZCd250Je+tps2zUPqqDNyM0uy3pl8YOROkXxOlCkHjHwXo\nzKgQpa9VqGJpa66RYdo5CBxxuzm3RQsqZWQQi0YRt5tQNBFcBbXsnzeSzkbnNoklZ2F0qRlAHJGN\ndOt2AVdddR2WlUkwGEfV2EUowU8xPallRnWW+TyKbqK3BPjMSD0QJeMyRKPtiEa/RZVFHdNGdok7\n2sjc5UWoqtsE5FCx4re4XBsZOvQ67rzzDq677jrC4SYUF/noZUa5IqoGm1FckqGVka8vqiSGsmvX\nxwwb9ncmT34NgPXr13PNNTewa9cuzjyzDRs3rsfhcFCtWjU2bdpEIJBlxsoH5JKff4jHH3+CHTvy\nCAYF2E0oVIa33noLhyPTPDk56NNU08hRhtTUulx77flMnDiVvLxrSCAaXcV3331H9erVadGiDceO\npSHiIRrdiGVVRmQvqkC16lMgEGD8+Jdo27Ytr7/+BtdfP5xAoCUuVx5paeMJh0Ml5C0gHM6lXLmS\nMYbfHqUif8uynKgD8VyUD5ZbljVDSuzhW+K4x1CH5K9XfcnGSeHw4cMku92km1WXSUBaPM5ilEZy\n0e0JE7VrtqN5KU1Q6nCgr40PtVHPNu1uRl0zE8yx680xG5KSuL5XL2Z++CFXoGQ7D/Ue70PtLAEO\neDzkbNrE4UiEJIeDSDzOWNTtEkAVTw5qs8XRWUdn1MVyujnudOBtlF7cqNWegB996BKfOVAlMA19\nARL7EU8x/VpmPvei9XcS286fgQaFhxg53jJtbUFJ34mSfgP0NS+MRPjqgw+43Izt1EgEKSoFZ6GE\nGzOjKyhZJnKtwihxZwItCIW28t5709BArKDq9FyKZwtd0dfroxI918Cxw7GEeLwJOicqj1q8iYLU\nh410F6FWb0LNnYKS/zHUsfUBag7ovOfw4cN88skMWrduzemnt2Xjxk18v8h1LsXFPryo0mhpRmxb\niRETwEEsdhorViwFYPPmzbRseYYJxvZg5syv2bHjClasWIxlWcyZ8ykiDtSRV8PcgYa89940olEL\njVrVN/3dSzyei2XNR6Se6VNiO6CjRKNZ9OrVi/HjJ1FMzkFCoSOUK1eOhx56lOzsqkSjiRnVYooL\nf5dckR0jEonw0EMP8Z//PGVqF7UiGoX8/A85/XQ/a9e+RjhcDZHNdO7c8c9N/ug8c4uI7ACwLOtt\n9CnacNxxN6P88PM7Ttv4n2DdunVs2LABZ1ISKwsKaI6+gkfRjdc/NMdlUbzYP4K+nhtRCgqgr+96\nlIzfMd/XQF/zRAmEFCDLshj19NOEw2FOdbupHokA6hpZYlnMS05mBzoL2BMMcu7+/dQCvnI6WQXc\ngL6mmahNXBF9Xd9DX7k1qAtqDzpLKUDpsgI6Q/gUfY2jaBivDEqL7c3xe9A01lSKlcZmVOFFTB88\n5v9EvtJ2igPeDlRBfonOlNqgtPiqkbMVmovjRem5ujk2h91EeZUY5RDWIKSi6ZAOVJ1kGamSUBXZ\nq0QL0ynOnkk3vU4gH32dE9kt9dCZg494fAmqYMqjCuNdMwpb0bmek+I6QBaa1JuHWvrjKa49OhdV\nhceIRhty7rndOeOM1mzZ4iAabWt6OAVV61+bO3U9qn5fQZ2BHiN3FzNCWofJsjZSp05tjhw5QpMm\nLQiHM4u+i0S6sWrVIwwbdjNjxz7Hiy++SjR6kZH7sLlbIVyusmYLyTNNX85GnX5h0tO/Iz09iypV\n2rBmzVRcrjKEw4d5/PFHOfvss7nuusG8+OLLFBZWA7YQCoUYOfLfHD16jGi0Qolxrow+WRVQB+TZ\n6JO6iI8/Tue9974jEkm411KAhkSjfrp2PZvkZD8LFy4nGq3DokVb6NHjIj755MPfLfuntORfFX2K\nEtiDGkhFsCyrKqoQuqDkbzv2f2M8/p//8J9//YvqbjcFoRDLMjP58MgRnKhLI5E8aKGBy0L0Ec9G\nX+NC1CaqiCqJGihRdkMf+znm+MtQ8msFZPr9JCUlkZGRwSGHo6gSaDaQ6vez5ttvWbBgAatWrWLe\nSy/RKl+DaxfEYqwDlhgf/l7UkjiTYp97bVQB3Wjki6D5MAk31Oko6X+I2p+COlSmUeyiOgt1coA6\nX2ahIVEn+kqvQ/NjpqCupDhqp9cyfydqBIVRmj2IKsSqKJ2Cuoe2UTyziANtiJDGDgrZwWpcZHM2\nxcHZOKpKEjuTfYBamtVRZ1IeGgOoharhT1DLPIKSbQwNXbtQK92JzpFao0plEkq8/VBV6ENL072P\nuoR6mRFbYaQ/G30qlpg2TzGjPxt9nTVlMmEt60gfoXgu5Da/QTfFfNrcsVzc7vk4HBAKLQZWI1LA\nunVlueKKAYTD6aZPiadGc+1fffV9unc/n6SkJHO9xqiqXQgEEEnc7aiRN0Si2lJBQQH9+l3O2LGj\nycrK4t133yU1NZVOnTrx2muvMWfOHAoLD6PKpBrQl1dffYkqVdLw+zGpnG6U1OuiM5mmwFocjsM0\nb96UtWudRKOJNM9q6JsBSUlrad/+Ph57bBSRyM2Al0AgyldfTWD16tVFBfN+a5SW/E+EyJ8B7hYR\nsbRu70+6fUaOHFn0d+fOnX8yem7jxLFz504efvBBBhcWkmb25Z1oWbicTsrEYhxDiUvQ17MSqsFf\nQUm8G8XLkgrQB2Y96u1MWMRh1CP8HEqop6DUU6dOHdq3b8/Yli15c+VKykejfGdZjB0/nho1ajBw\n4EAyMjL48KWXihwhAfR1XR2JsMJcL45umB5GKa8uOhtJ+OgTOf/lUNKeh9JlIusmUQCuGmpLf7/I\nsNJVGsXuncTs5j1zzi5zThS1rx8zf5+O0vYHKGVURC2hpqb/84z8TxmZD5vPL0DtxlwEnU80NVcu\n6Y4BVbMLzR3ag2UJfv80CgoKUWI/30i/3pyXCIBOQe9iiOLJdiJz5SPzuWWO95k7thizXA1VGJ+i\nZB1BiXaAGdGppjeJkcd83wm9U4k6qR40zfOAGZld5roHsKwMHn30Du6++z6Ki3RX5tixd1m2bAWq\nhD5F3U91UTXbhsJCJ6tXr+bf/76XPn36EQzmoophCR6Pm5EjR/DKK6+zceMkNFbxremfEIlcx8sv\nT2DQoAEMHDiYLVt2m0ypRDg/zfSvN6rsVgGN2LdvE1WrphGJjEFEKFOmArm5YtJ2l+F0Bhgx4i5y\ncnJYuXJViXuXhsORT50639Cv33CmTZtmdpvbamRz4XSmkJ//w4yin8OCBQtYsGDBSZ93PEpL/nsp\ndjpi/t5z3DGnA2+beu3lgO6WZUVEZMbxjZUkfxu/Dvbs2UN5r5e0QrWeygAZbjc5lkXzYJA5KJGV\nQQkUlPBSSBTRVaLdi9qj+aiNWfKRTSQYxh0OQikpvBSN0m/gQDp21G1fPp47l2nTpnHgwAHat29P\nixYtis7t1q0bD9Wty/sbN1KxsJA1Hg/OcJiWFK85PYgqnkQs4h3UkfAVGmjdjXpxz0dDm5PQLJ5E\nUmE51Dr/CnWWZJv+JBTDanTmkrAzN1Gc5rnftJOP0tkV5rhnUUUTQBXAzWbMDqCBcQfFa1tXoA6T\nGE5q1KzJRzsPY+EnTGMj6QtmBEOo66QySrpf4feDyJtYloMOHc7jzjtv5bzzLiQeb4gGinNRJ1gb\nisn4dCN51EiUhqqyVuiswY+ub96JWvJJqCq9pURvP0XpoYYZsRdN2x50dvIdqvL9KPGXDK9vQ5+e\nCPACLlca0aimAHg8LmrVipOZmWkWUS0l4aYREcqVK0du7m40tfUD02Y7oCE+32Tq1atH9+7dmT17\nBq+88gbxeIwuXQZz1llnkZSUxPbtO8jLm0V29mIikZDpuw9YhNtdlmefHcPGjTsRqYnOGuaWuFNb\nUeXWzdzdQ0A99u37miNHDpOWlkYgEGD48Nv56qul1KnTlnHjRlOzZk2++OILxo+fRDBYDUjF55tL\nz54X89FHH/PII2OIRj1m/OcCW3A4ypOUVPi9d+FEcbxh/OCDD550G1DKVE/LslwoN5yDGlXLgCuP\nD/iWOP5l4MMfy/axUz3/Nzh06BCn1KpF74ICaqIT8lkpKbRu25b5n35KQ5Rcj6GpjmVRupiI0kID\ndKJ7IcWW/ieoAuiK0sMn6Gs+btw4atWqRZUqVWjWrBknimAwyPjx49m9YwcTJk2ifH4+VyW+A54E\n7kF996tRO7kVSmdZFFswp6GvayLUWAhm11t9/c9EKSUGvIHazlvNsYkwayJbKQOlxovM9fais6Eb\nzbXGoDOl1UaGa0v05zGgVnIyTQsKmIoTCw8RImjGy7eomu2B2v8bUUsdI2EuaskDOKlcuTI5OUcJ\nBrWMsdu9n6pVq7Njx06Kt6apgZLtBeb/T8DkTDmdTiwrjWg0F83pSoTas9C73hBVrbtRH38i3z8X\nJc4cKFoG6EfV6DcUL45you6hU83/K1F3h9P0bw8Q48EHH+DgwcNUq1aZKlWqcMMNtxEIdDR9+NTc\nJYs6deqwbdtOI+NhII7LVRGRY1SoUIZQKMqxY8dISnJxzTVX89RTj+NyucjNzaVRo9PIzq5ONFoR\nn28ZweABNMaRiT7F2ZxzzjnMnTsfuMuM87dosY8EHjZPQwRV4U7Awudz8sorE7nsskv5MWzevJk+\nfS5nw4bNuFwOrrrqb8ya9RF79pyC0uJNpt0AMIrWrdvw1luvUq9evR9t72Twu+X5W5bVneJUz4ki\n8qhlWUMBROSF4461yf93wOzZs+nbuzeRcBiHy0V6aiqho0dpGYuxDX0cq6L+8DTUkdADtZQT9en7\nUuyQ+AK1jrNRcnWhIcKdwNfffPOLc5ezs7OpVasWlQMB/mY+C6Erhu9ByfwZy6KNCIkdAnagzgGM\nLOXRbPI3UCXWGLVRXehGLIn8ii+Brx0Ouvfty/MTJvDMM8/w0AMP0BB97RNK4RLUleVBZxSZqKMm\nCaXy7ygm/0oUL0pL9njID8dNTZ8qpsW3UTIKoaPbw4xmtpGwHho5iaFqejrp6enk5iajBH2aufou\n09tyqLpLM99nUkww3VHLuT5KyIkISRQN4uaa61RA1X91lOQPomHxVmjU5DvUtvsMte67mR5/akY/\nseHKBRSnnPooLg+xF5iEZTm5/vpr6d27NzfddAebNp2KKh7MWGSjym8CusSvAvokPm+OKWv6WAZ1\nzM0mKak8l1zSiQ8/nEleXg5qyQ8yxy81Y96B4o07DxoZY2is4zvTr6FmDBOW/wVohAg0WpQP7Mfr\nXcfWrZuoWrWka06z6Bo0aMzRo82Jx6vj9a6gXbsKfPHFAiKRS9CnLZFGKiQnj2PNmsXUrVuXXwO/\nlPxLHWYWkY9FpIGI1BORR81nLxxP/Obzq+0c/98eTqcTp2XRWoT64TC5hw6RFIuxFCXLNqjdVxO1\nBcujrooc1EmQWJazFyX9JSg9JLKBrkXdIcnALTfddNLyhUIh7r//fupUr061UIg9qJ22GSX2puY6\nO4AqlSqx2uNhCaqs3kKJeDDqenGhsYej6Gv+DcX0tBKlzBA6qT8mwsiHHiItLY0RI0Yw8bXX+D/2\n3jvM6vLM/399zplypsIMTdpIUYqCiAVQREEREQu2oNFEXUuIGo2JMW2T/Sabb4zGFmKLXbFijVhB\nqoB0kF6lt6Ez5czpn98f7/uZZ8zuXr/vxt3VuDzXNdfMnPP5PP153/W577qqKj63d9ogtdOTCIb2\nIALXYP+vs7pi9sw9CPoyQH0qRYYWCPhBCqtCBHQ1CIz+isA7Yj3fAryAzM9vAjkOHdpnI7/GZv1K\nJKOcj0BrtNUXIBI1CIHnfrSSZ1n9zkLiblccbZ8fY3U73/7TkM9GiMhZFIG0i2RUgwAzRBx/c6Qg\newPtkmIbszNia/xh2JrHHhvLsGEjWLt2PV80/Tl3gxB5OjnvmkqrfwDyGvohAm6AXiQSxbz88jhq\nazKm+wYAACAASURBVOsRwdmNV0jmI3bhLWRDuB7d9CixnzG2FgHaMWNszi8DjiESOYJotACptlYA\nUZLJkDFj/szflunTp5NKtSSXOwXoQDJ5PjNmTOOYY3oTBNuxKFM2d9NJpxv43e/+wMGDB/9NXf+T\n5XBsn/8F5We3306/eJzFSJAuQcfVKR9A0PQQ4utOQNvduX8ORiqXF9BxPB+BXgSBrgtiVgwc2Lv3\nP9W3TCbDsCFDWDFvHidks5yJjsrriHfLIiL0WlkZ27NZsgcO0DGXYyqCM+e546KwnIOMw1Eb33Yk\nCZQhQnIfAudeNpb33nuPdDrNRx9+yI5t2+h45JHs2LKF/vh7DOPxoSESCGL7IqgpRUTG3Xx2MK77\nAwfIUYO4yt1IxXEl8C5d2U9zQpZQQIYAH6N0DyLF7RAQT7V3XaydiM30eqRbbw8Uk5eXJBLZTSo1\nDa3wNgTqMXt+JtKdb7NZcReuTrTnz0VAuQ9JIK/hLR2P2CxPQyBZjkhtxN534SIuQ2qlWdbn1ojk\nRvCm/GtsRT9A7EMKGYm/jYhSHSKCVUjCOIjkN2xWuyDCtsbqbIUsPfnIC+kl4GwKClYSiRwkkajF\nXzyL2fstkDn+e1bnm4iVGG19TlNYmLAsZBFk7A6APjzyyF/44x+/eI9V+YKdkjGwMYW8+uoLnHfe\nxWzalCaXm4DcDkpJpYbxyivLWLx4KIsWzSUajfJVlMPg/w0vS5YsYceOHaxGQK/IInJnbJriugDv\nqBfFhzq+EG3n7oizrUEB4HYjuJqO/Ek+R7B13cUX858ps2bNYuOyZbTMZhsBvAKZEOcjqHwnEqGy\nb1+aNzTQcv588tCRHIXAfF+T+vbZd06ZkUGSiks1vhUpPwYDL0aj/P5f/5X2NTU0z+XYAmxcv54S\n/B1QECTlEITUInjah4jKEzZXHWzuRtk77wAFZEjwsLW4H6kTOgEjqOM1vkuSkBSLyEcWFJd7eD3i\nOI9GOvgHkDRwin23GwFnb2TsVSSiwsLWZLMbyM8/RDJZSBjGkV47gWQY538U2iyVI2VWW7z/VBKp\nWgJrrwit+Dx8bJ5ivNLAOc9WAG8SBGWEYRYZsd0zMUR+04iAbEI77kPrQw4RJ0coX8a7akZtDG0Q\n2C+1Vc1HKq0qPCE7HlhMJPJXRo4cwZgxD9CuXSebo762ep8j9VmAFIMliBWoRladY4BNhGGKE0/s\ny7x5LtheCdCCeLyW++67rzGMQ5s2bcjLy6OgoI5o9Amy2TYUFR3g6qtvpEePHrz66ljOOGM4DQ3n\nIlvMD4CAVKoXGzY8zqpVq/5LQjz8PeUw+H+Dy31//CN3/fa3kExSjLY46BjI50AA2wZ/Z3EhOnIb\n8L4j4E2LIF7MCemrkDIgtJ/LRo3iP1Pi8TjFQUBnJIRXIciYgQhVBDgml6M6k6GupoYeePDdjkB8\nAtIGx5AB9gh0zE9HmulKxB9+giA4ghQuWzIZuh48SHsER1U27jjiXTsiAjcPGbz7IJgah9RfEUQY\n1iPYPBd32V+a/ffIASnK2UXNFwK31VJoXtJyO42hWXfFgR7WgwBYRl7earLZDFLvXo9ALwYsJpO5\njtraKLCUo49ez6BBp/DMMy+SzSYxhZzV04BcOEciMKq3EZyCfPezSAY8Di/7NLcZA91vfg7tnNY2\n+9+3GdhFGD5lM9nTZrwBkcaTbOZaIgPrLmSZGYSkl0kUFNSSzSrWTzbbEbEer9sKzEe70BGLYchu\nsQ6xH1G0E6GkJMK9995NeXk5F144nPHjP0A7PAmcSBAsJAyjiONP2TxmbAxlwAASiUksWlRr8/so\nCnS3EGjOnXf+H2SILiaXawACcrkI0ItIZCudOrXgkksu5KyzRrBz507LFeD67aSDkFwu+5Vx/XAY\n/L9RJQxDXnrpJd4bP56WrVvz3JNPMiyVIoF4Ph9ZRFv+FASyBQgsHTc93p4pRvxmd3TEuyEDqAsA\nkI+O8R50rFPmdfGfKQMGDGB/NEonRIT+hNcApxG8fBoEfPu00wiA1x96iGRDA3EECzm0idfZ83lI\nWRBFXH4PfLT6dugYr0RHvQDxgfsQodiFwP9mpMG+y8YYsbqxv9sjs+tKez5q8+k8xg8gqHHSVAM5\noiwgR0hIAQFz6Uqa58ljc6OC6hPE+dbZaI5GMton1sLtZDLzEIkswpPmWqTKcCDSiXXrPmD9+nVk\nsxdbnZ81+b7YetYOKfles/97IA55pc1q02iTMRt5IVIIXouAcz/mPGyzB5IXSxAnf7Gt0l4E9CAJ\nZxeyusgFtbCwkjBsIAxDiop6k0isJggOEoZOJ34hIj5XI5lsnI3rZFuJP9kY0sBJ1NbOo1OnowiC\nkLKyZjz55KO8/fbbrFr1OclkNdlslurqExAByaC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ZEj61tsoREeiEjvsCRGDWIm67I4Kx\nLDpq71hfV+IvtLnwZO65KN7d9XQEJXlIAQFev4/Vua1J/bdan0YgYlBtz0Vt3tohorEa8egKohBB\n6pwFJNjBQ6TxV8dKEQC+j0C1AvlSbbXR7UMkyLky9kUg6iJ5utLMVsTp3AMbZQHy8WqDQHQ6Ipef\nIgJzus3mFqROcS6H9dancnxONye/dbZnXNxXkP5/Cor7k4+A8AS02gVW9wEbmwvj4NJ+rLP+NSAF\nYWvrTztEBLYjAtEayXJ9bYZLbAzOV38B4tR72sx/BkB+fgvS6b32jFxEhw0bwrRp60xicHmS3bq4\njM/gvZLus+9DMpko+/YNRMQwbe3EkGtuHrLHYH/3RPaRDuRyefb3PuBGksk6brzxNtq1a8eQIe4m\n9f9sOWzw/YaWXC7H6NGjGfvUUxyDgHg9Aiynt74abdtx6Ji6W76dEfzcbN+vRb4TBUjwdiEW3N3Q\nvsC05s1Zv2kT/fr2pdn27bROpZgeiVAUjdK2qIh1iQS5ICDM5ahs3pxOe/YwHMHAk+jI1Vs/ovhI\nnFE8vwriq1JIE+2UAtcjGFqJ1247o/exiHh8ZPW5KDYRfOCEFgh6XMSYwTZP891c2nPXIjjajLeh\n9EEw6OJxOgfJqxEvPpMoafIRN16JAOBMG/EEpIIpx4PGSrx+291wPRcfF+doRGpqkV9RxFbC5Vmr\nsBlrZ71ynj3lNhMH8DeJ++IdWq/Cy2aP2Ej62yg2Ii6/FV7aWITA9vtI2uiNVCA70C6pQzLhKLwa\n6g/4a4bF9kw/G7PjwgPkUeM8oApszCvt/11o5Qps5ndbfTciOXML3u3029ZePUHwKL169eDBB+/h\nqKOO4thjj6e+/kxrx+VCeNX6eSYivjPQKpcg1qTAntlhc3Ap2gmT7Ln29p6zvj0PNCMIdhKJFFgm\nr8vx6rEZ3HbbcYwZ8wBfphw2+P4vL1OmTOG3v/wl9XV1VLRpw6fTp5PIZmmLXCVBx/YP6OgkEZ+V\nQwD5Xfvsz+iot7a/y/AKhAAdkxcRP5ZBPOcxwKRkkvr6euYsXMi999zDjE8+ocWiRVydTBJNp1kN\njM/Lo6KoiERdHUuiUcIwJC8MSYQh3azd76OjNgEpHgZb/15HUOTuDxdYH7YgnqsKwVZndHSr0bFe\ng7j+hP24u6RHI350D9L9h1b/csSbxhBcb8R777yMiMsP7LP9yLvnbGu/GYLMCxHxaQdEyCK561JE\ngk7DXwAqQaS3BT6PWDOrfaTNwgB8opQsAt3OiOt9wT4/DgHhVvusnc3Cs4g0tkGqicnWZg06+vNt\nhV1IZgemh4Cb8Lcltlg/xtosRpFqJwfcbX3IszFOQnYKJy8dsDZmIFlsm71fb7O+ArEZxQhUn7b5\nOgdJEzdb3SejmEPnIZK7CVmr2qEdPhPIEIuVkkicaP1zUkoJJSVH8/Of/5izzlLIhgkT3mPkyMuQ\nZ/J+5IaA9W2K/XaSxSB88s8z0Qnogb/pOxKdrBQiiJ/Z312ABk47rQ/pdI65cxdZyAqBf35+DZWV\n//+XIv+7ymHw/waUefPmcckFFzA0HqcT8N6KFfTBe1+7shXByrH42IjOge5+vBonDx1RZwaM4OPU\nvI6g5E57/3kEvukwpEWLFhQWFnLHnXfy6quv0jaZbOTEq4B0JsMNtbXkgDdiMcoGDmT+ggWEhw6x\nCAU7KLXnByCYm4q/sO++A8FJcwRlO61P2xAf9lcEUcX23lD7/lUba62NsxzxycchvtLdF00gaNpv\nbdcjSOyGCKG7nuVSpzTYT43Vvd/+noCIQJJCfCi8pldrok1m+Um8IXMIIjdOBnLF3TJdjU8gWYC7\nOqZR5uNXsCs+2HU/61EacfjVCDSPRdz008jTpsj65AzIzhqzBOnGZ9ssuJn8tv1+E+2GCrSTnLw0\nEX9f4Cgb2y57Pm39K7Y+trM2H8Wb1F9EYNnXxnYc4vTjtgIBIstdgK4kky7gXAyR/Z7AQRoa1jYa\nVtPpND/84U/sTkqVzX8XROrdrRe3yg/h4xaBV/YdxAdpq8EnwilAO6glsJ5YrICJE1eSl5fHvffe\ny29+cxeZTF/y8uJUVFRz88038VWVLw3+QRAMx2fyeioMw3v+5vurgJ/ibWo3hWG49N9UdLj83eWl\nsWM5MR6nKzKiOmE+jrj595DvwlR0LJYitUQHpNmdiRbnVMS3dEMccz+8Dn0uEnyfQVDjYOkkpHLp\nXFVlcc3h2quuIrZtG6sRj1tuz7S2dqJA10SCGXPnEq+rYxDiLdcjHst57wToeE+yv99HCoGE9fkC\n69eJTdqZZs9UIHNfPeJ3Q6SMOA7B0ljEnzkP7tDaPQ/xbO460nFW90arL8RHAF2AoOJdnG0gQpbW\nPEU1RYSN+bvE0X6KgNQpoIrs7wIUFOxxREKOR2SvBAHYO9ZzZ6h0GRdW28o6chNFnH45IhDT0PF2\nUStdwstR1m4OAeMBBLDHIWKyGBGeV60v623UC/HhIzojTnwS3o1zoL3ryO6V9vstJF8dRDLSp4gN\nKUWguxMf+3+5rXR7++xoJPUsQ6qtBsTt1yFp6QCyf/RG3DeEYT3i3Ifb/HwINFBWVtGYWvTGG7/H\nwoVL8ITXyXK7bR0mISnIXTBbgb8V427jViNi2c7GPQQROtCOXAq0IpGoZsKECYwcOZJf/OIXnHPO\nOYwfP57S0lKuvfZaWrZ0ueX+58uXzeEbRTgxFEnh8/mbHL5BEJwCrAzD8JARit+EYTjg36nrsM7/\n7yxXjBrFutdfZz3iHRP4iO9l+CBvjpc5En9d5a9oa1choByCgHMcMnC68jg6DrMRzzfE6nwbKSoW\nFBSwfdcuKioqqCwr47q6OmYjbxlHKHoilUgWeLOoiI0NDYxAsOOu/2TwGWbL8YbfixF/5ySSHlbn\ncnQzuQgRhzykMADZKt5ELp4vIK2wC781FQF6MSKYWUQMY0hruxxBy8/x5r+nbS5TNsf56Oh3ByaR\nT5bbgFqKeYbbyDTCwxHAfgJqGtO8tEAA7dwt+yPAv8F6+Bkia45fcnr7lvaMK/8XH9giZjM51Fbm\nTXQ0Y4jouIAcPRHg/QWRuuWI+3aXuJbYT2frk8vUdcCeG2H1vYnA8Rwbz0R7ZiciIsWINWhlz9bg\ndf8D8CEgXIrKArxLp5MUbsdLIffbfLXE+9RvwAPwFfhsXk/ijd+lQJq2bZuzYcNq3n77r1xzzS2k\n0xcjMr4JGpOGgnL4ZpF9ZJ/1qSPeTtIGEcVPEeFx4TJ22bxh73zPxvY5paXvUVOzr/FG/n91+ap0\n/v2A9WEYbrJOvIp2WCP4h2E4u8nzc/F+bIfL31m2bdvG7bfcwob16zmmd2/ef/dd0kibPAjvE7/M\nnr8dHSWnA3c5pVwU8yzee8dx5w3oaBciIuLcK09BXPM6qztAWtB5uRyFhYUsXryYIAx529oYio5H\nFqmHHrA2j6isJNi+nRKrx0HgRHS8+6LN4jThEXREDyExc6v1yXlXlyAetWksxk+RFNMG8ZJzkOKi\nDsFrHH/TN2rvdkTSj7sJXI/gw4W7uBARjlIEgbMRX59tjA2zg0qixMiwwOroCUQI+Zg0KZrhfZGu\nsydc3tvPkJWjp/XiVMRh7rFe77FeuExeLl6MCzfXtcmqHI1WuxLvz+501A32zAeIODQNK9zMJyPC\nVQAAIABJREFU2jwIFBEE7YnFllowtL1o9SN4qeIlvJrHFUd+37O6S5CkMAH4BSKbXREpdz5bLkvE\nkTbrtTSNfe9LFV4V1sHarkC7ayRiZ0rtnXokFVSxf/8CLr/8O2QyWdLpM6zdYmSL2IFWcz5eybkD\nL3W0snbnIMO4u4FyD0GwiDBcYvN2EfJX62ZjBuhKIhGntraW8vKmHlpfffmy4N8enUNXtqEz/B+V\n6/GBOw6Xv6PU1dVxWv/+dKmu5vhslulr19Iil2M32p7gj9AWxHu5LefSM9ahS1BtEfdbiudBJyKA\nOxJxur3R0Uwj5YAL0XAIgXR3+7x9hw40L9GGb480yR8jaCq236ej45MB9lZXk8KrctzN5BAd56V4\nr/BpiHfsiNfLH7T+JhFX70B8HTr+LdFmbGn1DUY84nx7zuV/cnMS4CGrKzJj9kSKlGPwSV522vuX\n2zsnIJ5UnN8e4Ah2kWELIiBnIdgDQd5k9lJLa7yMBSLZ47G08vgsXV1s9CDZ5wV0gcndbHCg2A6R\n77k2smyTke5CyjuXRrASKc1SCDwH2ndtEZH4yGY2C+zl7LP78vjjS/jud69j3ryFpFJJfOar7zaO\nSu3l2yy6tIlnIwJwKk4BpnpdLoLQ+pOxdxzA5tscvI4H4AwirisQC1KJT7kzEniSSORlcrlu1r8Z\nCJDPACCZ7MD77/+RSy65DB/Lp4XV/zSeBeiF2KjlRKPzyGa74nMQLEQnxsl8BQwdegpr1mxg585K\n0ulqREw/RyekGbCSiooWlJWV8XUrXxb8/5/1NEEQDEGszsD/6Jnf/OY3jX8PHjyYwYMHf4mufTPL\np59+SkFdHWdk5fw4KJNhHALYOWhLZhBItkCUOUR81OsIBsrt+w0ImM62dx5D/OR9eH5rDt4XPgGN\nfGsKEYiNwMFIhIObNjEQHYvpiKBchI7+FnsuxGfnWpPJWABcQZrzTi8A9uTlUREEJNJpDkBj7H5n\nanR3PM9HAPuWfeYyba1FBCuwvv/Fxn8M4sfmWrs/QnBSBo1cOnhFyhpEPBwct0Kw2RavCirG3XnN\nkOAvxvOHvGDPND1gLv5kPYcQuXac+G6bnQqkOim01pciMrrVPo8gZdwnNtKRthLPWq+2oxQ0oa3O\nTxHJe9/qccZix/kfYX2I4y+B5XDkunnzZkyYoBsQ06dPYsmSJZxwgksleTJfTJ+40Poywfp3OpAk\nCAJatlzL3r17CMM8ZBQ+tcmY1lh7l1qfjkHy4beQSuoDqzeGv4H7iLV7BI4MB4GLWnoJ/u75LHsu\nBOaRzUaZPHmazbdzjV2LnHg/tDZWot0KQeCM3uBDa09GJyEHJBk7diyFhYX87ne/58EHH0KyZQoZ\nrWMUF4e8//6k/1KVz7Rp05g2bdqXrufL6vwHIB3+cPv/F0Du3zH6Hod21/AwDNf/B3X9r9f5Z7NZ\nfvGzn/H8M8+Ql5fHz/75n7nthz/8wjNTp07ln0aO5Nra2sawWPciYKrAhxJ2Dmor0bZNIY3r+fb9\nGrQgbsZdIF13/SiDCMkQxONNQUTCXQ573NrO5ueTS6cZhPglkObzA/vfhQ27CB2dsdbWWYi3BZnX\n5iDwbgB6jRrFuhUrWLFiRWMk0QUILsrwMf6vtn450+Aqe/9KfL6CAAG48xf5CKmL4lZXBkkvyxGc\nubj/2xFQn4ggxoW1ABGCYTafsxBkbidKijI6cJBeSCKYjEyBF9icfoggeTWY77+zXKxHAvNSBIj5\ntlLObB0iqeIYm8nHEPA7Jdd8pORyuv+uaOWPQ+R6Ij7kXVu8P727udrSZmYlFRVFxONxWrduwzvv\n/PULseaz2SzXXXc9Y8e+hJRp/2R1uGBvFUhCqUcG2jRFRTGSyQi5XFskf822GXA7Lg9JIE7vnkEE\n7AeIu19oq+wceFcBZ1BWNpu6uhaE4UAk482w8d1hs51AUpJzk91gfcsg2bDQ+llizx9ARGi0fTYb\nL4u6UBenQGM82rG0aBFnz55q9uzZw969exk69Fx27jwZ7exqYrFX+PDDt//bmdi/V+f/ZUM6LwCO\nDoKgUxAE7jrh+L/pmIvK9J3/CPgPF5W7f/973nzsMS4/cIAL9uzhrl/+knHjxn3hmYEDB1JZVcW7\nhYV8BrxZXEzvXr3Yj7bzeYgQFCMO9xA6MrV4T2UQ9x9BUBBB5q1b0bbtgPiaUfZ5f7xvCIjf6w50\n7tWLTdu2Nab0dqUISR0z0dEZjA8S4BLNNBWCy5GwfQEWFyeXo1lFReOxnIVP7T0amTxPRV42W+yz\n4cjEFiIlQXcE3EkEm3mIB3aZamMoRtANSGHiEr2/jo/6kkPHf6nVczGCNwfkTyNzoa5gRchRRT4R\nTmzSjyrr54dIGtJNYzcbB2zE30NGUGdpaIYA71V7phkyr7mMC83xKXZySM1Qg0DpekRar7UVWI7A\nrBLponva+yFBECJyfA+wg+LiAlKpHMnkEWzdGuekkwY27r9NmzbRpUsPxo59BZ8iaAy6DbLQVv0C\ntPs62TM5stkcuZzTvX+OwLgbIj7XI5DfiXbrdluBcptdF5DkSETITkRqns3069ePXr1KEZBvQ0qF\nIiQF/cn6FsWHzT7P+nWU7YC09cXJfj3sx+nq++JzI4y0z5w6Kwp0Z//+Q9xxx0+pqupC//5DSSQS\nNGs2lbKyJyksHMsvf3nn11p78aXAPwzDDFq9CYjVGBeG4aogCEYHQTDaHvsXdGYeC4JgcRAE875U\nj7/B5e3XX2dQPE4LBMr943H++tprX3imoKCA6bNnc87tt5N34YX0u+giamtqTAPps3G5ZHqXosl3\nHO1GxCm/izdyXmvfv4iO7Eb7Lt2k3Rj+LmgCWB0E/PiOO5gzZw5lrVrxMeJfNyE+8zjMc6dlS7bb\ney6uTxptmJ32/HTEq+4C5hUU8NH48eyZOZNa60seAu0WCMBzeF8MZ9pzntjK3aTiDMIgeOqKiMwu\nRDw6IBh07qWtEXRtQXz3D9Gls5WIgDlCMgr4lX0WR/xjhDTNWUU1Oe7HX/YvA1IUUsMQdnABGWLk\nuBbpxhNIZVKOuOEC/P3pc4Af48Mcn4HI1Bgb2TRr5VF8CpoWTUZcigB2MwKyQkS++uEMzTNmTOHk\nk0+kqKiYXr3aMXToWdTXl1od55DL9eOKK77Deeedz8CBp7NlS5HN8BDk3/8da+s8RP6b5m8+CJxI\nKuUY0sm2MpNthpuj3VeGduB0tAObIYmiAyJMUxA5vgcFf1sHLOdf//VX9O7d21bS3ZrtYyt0MSIs\nlUhpmMNnWMZWLIFWuxrJii4JjbNqrUY7eATaPQG6COfeXUwY5hgz5jGSyW9RVzeaAwfaUFNTR0PD\nXoYOHcodd9zO17kcDu/wNSpDTz+dkhkzGpPETYlEOPaGG3j08ccbnzl06BA7d+6kqqqKP959N0/d\nfz/18XhjeGKAPyIVhosYsg35ZHTCX/iP4IXkOOIvx6Pj8yniIYuQ5nYnUuXk4ZOVF+TlUVBSQqtc\njgywrraWQgQ5J6OjvwT4wU9+whOPPUbnMKQ+EqGkqoof/OhH/OCmmwiyWXJhSOD6FAS0aN6csw4c\nYA2Cks34aPQ5ZKi+BImcLtq6A9lDiBB0QfzbMnwWL3eP9gYEm3X4gAov2nfn2v8fWn/c9y738Wb7\n3/nogO515hBPeg4+9eVGxOEHdCMkhsDkSsTR/spWYCJSDJUiQM8hh9RqG90opCN3cVbH4eWyakSO\nXKCKH1pPh9tKz0WglUWkuw3yVAGnWonFisnlcuTnl5BK1VNYGKWurh7xc6sRyM1HO6sV/mqg8x9L\nIy57mP3/ts1EHIH0DYjlWIwsLMXW5/utH1WIHLdDhKy7zfpT9llrJPelkZKvyvr1BqtXL2fNmjVc\nccX1NDRcZGMci4ibU0DuQuzC6UitdSqSvdzNjjaIWNyGdsx4pBAttWec4/HR+AT3y/HxgC5B7Mwn\nNgdTbI3LiMU+5PLLT+a5557iv7scDu/wDSh33Xcf55x5JnsTCdKRCJtLSxn7y182fv/cs89y6803\nU5qXRyoIqI3HGZnNMgkB1hB0vFJ8MVeT+3uzfXcb4v5fQwD5IeLDDqDtOwgJ6O6C12Z0HNzN2BsR\nD9S7tpYzcjlC4MkgoDoMaUA6/OboGE987z2WrVrF1KlTKS0tZcSIEcRiMUZdfjk//+lPmf7EE6y3\nOjJhyN4DB6i3dpxfhRNPnRH6WbxkkodMg10RX/w4Ilo1CALPsHdvtO9eQZCyBEFUM6RsOKnJfDld\nPoiI7bG6y/HhIfLxYS/yEd/oDMXH2vzWcBIhw62mdggkKhGXOxhx/Z/ZjHdH8tAWq3ELMr27hCNz\nkFw22Or7gLZtd1JUVMyGDZts5S5EBOUQ4niPRFJBDIHUQ3jJoIhEIg2MJpVqAN4gnT5kI3gSn9wk\na+06V9Fx9n07BK4pBJqlNhuzbAZuxDvgxvCKwThaxdPRLnESQZ6NcyEC3Esa+ym3V+fL1gOIMWbM\nGB599FHuuutX3HHHz8nlQnw4CVfcCu21efwU7aZBSBJYYON8HqmltlJQkEfPnm1ZsqTe1iqJZOgA\nqZxW22ffx9tQ1tjanYIL3ZBIDOKjj97l61wOg//XqPTr14/ZCxbw1ltvkZ+fz1VXXUW7duLnN2zY\nwO233MI1iQSt0JF6GXnTuBt2L+Hj0y/AJ0GZhEAuhoCs3D7viNQ/1yPN8x50rOci2GiHjrKLmVOD\n1DSTUTiHqpx8u3cBB8KQHyAV0zKr9wCQn5dHx44dufrqqwnDkBkzZnDLjTeyfsMG8sKQ+lyOCmTu\nW4UgbAI6xjnr9wdIjeQic55jfSiKRslms43e7ZWIl9uIhPNOTeY2H8HUWvveeQWF9jMb7yU/H/HV\njyD4cLCVsToes/lxXvQ1iJg4nnwJUNuYUMUVBY8OSBMyF3+veqCN7B37fz+StUAA2AyRLOea6UpH\nCgsPccYZg9ixI0siUYdIsvOZKsVHvyxCoHuOfecCYHS33r+EQNDd4M1Hfu7XoF0yFQHox/iwyHtt\nls9GK3YRkp8eRrszhxRzh6z9+WgVJyKiN6jJvIxDO2wFWlmXV64asSEHERtyjM1PA089NZbPP9/E\nxInT8G4LZ6Ddm0G7fKH17wO8Z9IFeCNwxPp6EBGGEaRSAUuWvG91dUKnzHn9NA1bsdW+d750rayv\nbW2ddtOiRSVf53IY/L9mpbi4mAWzZ/P52rWsWb6cBx56iPLyclatWkWHggJaNUh3eRQC92EIuKci\nXqs1Oj4u5qK75XskEliTSAjvg+CkBJ98pJX9pJCqaKx9fgne2PuG1XPtt7/NojfeoGMiwXbElzmv\n9V4IXmZGIrxg7ru7du1i2JAhrFq9mtYIUgqRcmAQnme8GQHqSqvjO4h4fYTPVLsfHduB2SxTEY9c\nhWCsGp9NditSRBQgQC6yNlsghUoCqXwG2JzdjY51G3SkY0iBMAdBiZOr3S3qITafUxFUjkGwUwKE\n5IjwMTn2A0VEmUVIlBhJ4kSsB/uRFNDBWt2FyHiFzbjLPOUyJs+xmZMb4+bN+3n22XW2ui5OzaUI\n9D5BIHfA6j0Lnx3hAuT+uQVJBifhw/k5l8vJ9jPAZnYmUng9b79bW91PIGCssFm6BN3K2IZAsT2S\nSN5GRCLE33wAL9etQGQ2RMSwFLEwA2x879hcHQT6kU6vY+LE1cjesNbm7VNEWJxN4Tto9zcFb2fQ\nBXf/vUOHKrZt64WIE9YH5/qZRjJyd8TWZNEpGWdzUIgPYlePCOQhIpEcsVhfxoz5M7fe+gMikS/r\nW/NfXw6D/9eo1NbWMmjAAI7avZuTs1mWbN7M+WvWMH32bLp06cL2VKrR62U7/lrKNrQ1HYhn0dE5\nFR2Drci/oTcC9PfQUXK80BoEC7sRHHVEfOLZaCs3jT7SBh3NRx5/nMv37OG+KVPI5nIUZrON91Y3\nYUbaQYO44AJpzq+98koi69Y1RmQZhuAAfJjpKgT8INh6C/FxLlJ9GhELp8hYYWMeiw9kHCCo6YaI\nnIvrU4g02c/ZXBTaz8kIuC9CcNjB+tIfwWe19cWlnPwAn00sDnxMlCjF9KCWY/FQEZBPzlLo5LOO\n04Gl5LGn0ZfoLVu9nK1gHySD7UF2gfoms16Izzjscr0GhOFxiHOtRUbd9YizXocMsl3svT8hAB+L\ndo4LmVCMVrkP8rJxXjjYu5MQYCcQgXDhEpxEU4F2h7tqNwgf3KzG6t+LQPZ7aOUfQsSpuf1MtP5H\nkbqoL9phnyDS6xR35dafQkQQliDVS5695+SxBD4kXwLt9k5W10tolUfad9MoLi5g5849fPHKUs7G\n9THaEe2R8nMr2im98HFx65BNIIqIYgSYQi63kkWLOrBmzYNs2bKV+++/l69b+fqRo/9lpaamhu9d\ndx0n9urFyBEjiNbWcno2S0dgRDLJkiVL2LlzJz179uTnv/41TxcV8UqzZrxWXEzn7t0bOeKd+KQs\n85G/RF+0zcsRLLTCSwLOFyRAMPRHFLTNBcutQFpRdzzrEf84G6hs1Yri4mLe/egjqvfu5cChQwwe\nPpwxCLZeRXzQ0vnz6dWtG9u2bWPBwoUcn802AvR+dKSGIyiYjwhV3ObFRWVfiI6tu0CWsfdPQ6bF\n3TZmd/2nJSJyDiJA2uUOiDCV8sUYjbsQL+jauwz5iqTs+a1IynKQ2BUd89eAdzmCFN8mxXXMJJ/n\nbA4VS6kMGE0BWc61Ng7SApnYf4xIc3t0EcvplqsROXO3Wt9D8tBexPE2IA6+OZIMBtmM3NhklCus\n926UASKrzpXSuYF2s1lz8lpbJC+mbCbnWbttkJ1hK9pJ9XjT907rs0ts+bm9O9ravREfpfM1tDuG\nI9I/FXiXyso88vOrEDkfais4CIF3YZOVKrAVcRfR3O51xbkiuNvAkxBB24s8dlI2liKkylEO4Eym\nC9ns+Ui2XGhz8DEiOg2IMPdFLEUGLwO7kBlZdGK64OG0G9qtvaivv5RHHnmUr6Mzy2HO/yssYRhy\n7tChpJYu5bhkkvXRKDtzucaYOhkglcmQSCQA+NkvfsFlo0axefNmevTowSuvvMLPf/ITluBv6LbE\na21dLMYDCFw/wadpbI2IwLesL28gAuH06lnkFXMy4nQfwGLs5OVRXe3C2kJ5eTnpdJpf//a39Ozd\nm3feeovCjRv5bi5H+3icT7Zt48ZrrqFj+/YcqqlpjBg61frhQo9ttfrH4LOOlSG+1HlXxxEnPwyf\ncypi/fuujXUSPm5Rnc1LN6QwqUbw8jzijRsQbLXAh2r+CyIQm/FBCObjCcBC629tY/z6VgCk6US6\nMSRwKS63bUCaGLCZCGl64eWt3sjYuxWRwjwEkF2tp/mII16LSPYZCIhmWc9dr4vRbpli791s37+C\n7AUt8aHrOiNvGBCJuwsRmFGIa/4EXRl0EkkKqV7ybfTOL+oFW516W4EiG0M7ZFf4BO2waUgmbWar\ndCXeJ20ykOXgwTpyORfVKc0XI05NRQSnEKlhWlpbm62PbyCJZK3NVY3153Lr51qbF2fRKUB2DKyt\nu0mlPkdSRIB2zxGIVL9DEBQShmkkrZTZ+4utTbc27jbxQnwiz/mImAJECMOmcY++PuWwq+dXWDZv\n3kzfnj25taGhkWd4NBKhPC+PY1IpFiJzWRI4/vjjeevdd+nQwRv93njjDf7p8sspy+W4EG3FGfbd\nkXj10OkIFuYgLWglcqYbhgRmEBhOQM55D6OjMRDp3vcB+YWFHKytJT/fQaLKuHHjuHX0aLJ1dQRB\nQCY/n94NDQy17/cCb7VsyQvjxvGtiy5SPKG6OjqFIecjgnUG4qeWIa1u0t4tsX5828Yzy8Z3LtLO\nLkfHdpd9dgzS25eio74KwVcfBDkf4PP7lth3SaQU+BY+q1iI+FOXOLACwVwOEaJLgbkETKKUkEHW\ng2WIVJ2ADr9z+9tPKe/TixzzOYIs1yMw/QTJG9uRvNEVHxYgYb1wNz6WW71LrY3Otpqb8JEm3a3d\nvrayCxCY5SNQWmgjutGeq0ck3V3Ry9lsnGSzNdP6dCKSZ5xE4MC5tT3fB+2weuRP5UIA9rEVuAjt\nxOeQROB25XPWZgd7t8bG28ve243PreacgR23H8MTnKjNlQs8UohPVpNDO8gBdAQRv05Eo/MIw63k\ncuejnbMSKSIDZEeoQrttH7JjrEcqo3y8SilA7rNHImK7Ecf9B8EphGF7iovn8t3vDucvf3mY/65y\n2NXzH7Dk5eWRDcPGmIw5oKC4mFa9ejFj3jxOzuUYgI7xtM8+o3NVFZ06duS5l19m0YIF/PTOOwlz\nOc5HENEWLehUq2s54gMr0JE6iIjAkXinNef3sBZt5SfQcemKjvQgLJzzVVc1An8ymeT2W27hlVde\nIRmPN4ZqBng7k2E+IhxFwNIgIB6Pc8G555LN5TjxiiuomzSJ03btYh/ip5yb5QAE/nlIm1uJiNIr\nSEky0/o+EcHDPgR1AfIucpHWnca5BPFnS/DxGh3UNbc52oP32Jlgfx9CSg/nIZ+PIKoagX8e0JuQ\n6dRSxAQKyXKIgJBlpOiIXP5mUcjLpMhQR4RFQMhe5OMeQ4AXQ4DVuUnPOyJpYAhfTCO40FbyeHt2\nGOLcnVeNy3j1hs1UPVIrHYO47GIbwROIGCyy38vQHYGJiFS78Hadka1gKGIRFuNBPWozFNj7x9mM\n9rLPVtnnKSTdXGxz8og9tx+R6H626vcjEu9CQrv76sPs/Z22MhfY6rxrKxvwxXsPx1s/RyNCshR4\nl0ikObncQVvJxcAiOnZsz6ZNRfjccL0Igo+IRtuSyTi58kKb42LgZKLRWWSzTka8AEkUbu2usvk6\nSBDk06LFejp1yjJy5HX84hc/4+tYDoP/V1jatWvHWUOH8uaUKfSIx9kci9H2qKMYMGAARXPmcKo9\ndxQSoG8MQ5Zt2cI5Z51FfhDw7XSa1/A3WsFf8v8uuhPZ1Kjj/ORBR2YK2q4uTfW1iNPNoeP7J8Tz\nZIEF8+axf/9+Kisruf2WW/jk5ZeJNDTQCvmkOLajJ+JHHy0ooDIWY39DA32TSYZks3IqfOstKtu0\nYQsiMLV4NU0CEZ6OeMPv0dafpTaWNjYfE5D2vATBxxPW53MRb/mxjdXdkhhrde9DkHe2ff8egqlN\nSEHRGsHgTfbs04i3BhGeD/GhvQqAzmSpBy4kZBdb+YhnyXA9ASmuI83T5JldoAxvVclDINRgs78Q\nfzVuPT6NTi3S1Q+xv6cikGuDl0UKkOzkdPdnIH22S5NYjwsnJzK7He2mCjy5jNhMNvWRd6qfu+zZ\nEJnBB9v3LRD70M7a+zYiVPusTyU2S5/jI5G6BC7O4nQk3mLTCQ+kdYgAViPyvhupcpzrwU57fzDS\n6zvC1srqbGHPHQeMJ5dLkJfXhUxmFBAhCCayZctKtPNcfJ84YZggkzmElxLcHG4HlpDNHkISWCna\nhR/ZnFWgtYsDNxOGLaitfY8+fY7lV7/y93S+buUw+H+FJQgCxr31Fvffey8LZs9m+LHH8stf/Yp3\n332X12IxTk4kiCHOvwLpqtsB2WSSLBKci5DB9lS0VZejbbva2ngNwcEedNSd499ytK1rkGDuHAhr\nkJH4WKSPfwETvFev5qpRo/hw0iRef+MN+jU0sA0dt2XoKIBAujg/n9t+8xvOPPNMzh4yhP4NDQRI\nMO/W0MDcjRvZjGAhQJJFd+tzFfK+qUVSwRYEDwftu1o8F19kbUbQ8T8a70RYhpzxCvCmUsf7OYgJ\nkJluPQL7HNJqJxDk5SHJp5fN1zTER7u7Ertt7HciCO8AbCDNSp4hSo40kKMQkbkPEPfrvFc6IvCo\nRxy+U3i5m6d/RmBylT2LPfsKIgxLbdT51iNX9lhvnI9TO7Ty11u9OZtxAVsQFBCGd+GvzM1AMqQL\nybcdcdsxfCoc7O8UIigzkbWmmfWpq83QcrzlpdDqcSxIxt67FIH1ArR6+xEpPtPanmLtPY92QiEC\n6+429oHARFN9zLRxOL+zLbjrgJlMDxv7BsKwhDAssHl8ChEM5xIRRS4LHRFRBu2kfKtzNTqNg5Dx\n/Al7zyX6lCdUMnkCM2Y0TWXy9SuHwf8rLvn5+fz8l1/kDq644gpmffIJDz7+OHlh2BiP8Sq0zR5G\nAnFPBAHvIw/nIxDHvAdpLzujbT0HbdssPvFdiLbuRnwk9pX2nBOEeyBeqzmwK5Nh5bRp/OT222k4\ndKgxMPAO69uD+JvEEeCqq66iqqqK9m3bsnnDBo6x9jeEIZXomKfQMe+DD1eWtN8P4W8dd8R7kK9E\nHH4R4jddWOiteC9t8NreDQg+jkNqrPeQsN7Jnpln47gHnzqkq83HRnScm1k7S5BiYRPS2LuSwEtP\nDZYMJEc9Y4FMY141py93xenOS/BBssvs7zfRyrnQy65EbFY+s2edqmMJ4qgLkQKvi83IPnxs/BZN\n6mgF7CEIooSh8393s7bIRtwZ+VT9HpHVGJJ5WlqdH+PTPOYhFcnR+HzEPwdWk5fXlkzGkfD21ueO\nNifrrf4QyVtT0Q4YjnbI8cgAfSI+0/IytIOTtipbgTpisUIaGlwu3T/j7024OwiL0Ulwa+CS4mSs\nTicjp9Gqf443andHLFKIJI1qa6MIf6s4g78yGBCJbOHII0W0t27dyoEDB+jWrRuxmNspX305bPD9\nmpVt27Zx8w03sHbNGrr37MkJ/fszdfJkZs6Ywa/RVv8QeU2Dttr/RTryFUjwPoR34rsFbev9yLj6\nY2RSzCInwxQyCy5HxyaB/OHLrI6HkRH4JSBVXEwkk+H7qRRF6Gg9hTet9UVHdEosxgU33MCDDz3E\n7NmzOW/YMKoiEfbnclTX1XEOOoY9wFQmKvXoqEcQjPVGx97B0Skols53EQS9jYA/xF/jOc2edWqf\nEMHEL/AhIR6zOYogAprAOy86T/Y6m79DSK3UHx9swSWB2QZsJ0YRKQaRYwcByyklTV9+n5gHAAAg\nAElEQVQKmUGWkHOACeQTUE6aOhttDJGuOnwS96GI434GAXwFPnqnyz82Ea+ScL76pXjuPmq9cyGN\nneqmCAHYWbZqLyOOfaHN0EW2Gp8gNdP38URmBp6bdjdLsPaduqOb9XO0tf0AAv8/4Y3Ca2yFO1hf\nTkFEohofPXOAjdHt2h1I0vkxXmJwEoaL5OTUWc6GcQFSCs5Hu/g0tCvvtTFebHVNwYfMmIcUhi5J\nzfOI3dgLjV5dzudspa1dBp9/bi9SRcUpK9P1xcLCfcyePYMxYx7hySefpqCgnOLigOnTJ9G9e9PM\naV++HDb4fgNKQ0MDZ5x6Kkfu2MEZ2Swrtm/nrY0bWbB0KRVlZTyRTBJFQO6c7KRa0Nbfgcx1B5A0\nkEHg3AEJq8MQDLRGYBdHvM9QBP4JdDyeQCqWbQh8m9l3l33rW8x46aVGdcsRCGrKW7bkqP37GWrh\nHkYkErzy0ks8+NBDdO3alY+nTWPjxo3U1NRwy403MtFi+cyyOpz66RnrWwYfSqIv4o0/RXxj2n6H\n6MidiYB4PTqSW+yno/3MRZv8MxtLgAhLK3t/MBLy89HxPg5B43UIiuuQmXIpPr7RdYj4hMATpNjJ\nSUxgEzl2k2Mo+UzlCEJ2IVg6ijR72cc7RKljhq1YHBla37CZnoQH64MIgJ2B8kNbqWut948jwD9k\no9tqPSqzGXnPVr0bkgp22orfb7umC970nY/3+RqCgPBhW1lHUkuRwmu+PdMVOcUOsFkrtll8B3H0\nxfa9iwu7ExGBMuvnbMSmtEM7crv1r6et9puIQCyyOvZYHTG0O85DMu6TNgdH2zy1xQfL62fzOAOx\nOE795jDSSUU7mvQTJDG0svacdLYcqcBC+7sn2jkuY8SlwEMUFORzySWnMWLEuQwdOpRZs2bx7LOv\nk0zeTDJZRF3dPC677EqWLVvI16EcBv+vUfnss8/IHjrUmKWrbTrNY1u38oc//IF0Mkl/tP3fwB9j\nF9FyMZIGKvF680V4P/g+SJBeh6AmHx3x7vhIn2ci/ixExKINFnklCOjZuzf/8i//Qq8XX2QHOrYu\nR3DzigoSNTWQUjjcOIrpc1THjmzdvp1IEJAXjdKQTlOGjs0G61cWESinVT4aacVdvuHnrA2XRjIf\naYqPtT67nKE9ER8XIsA92z53aUo+sDb34GGyAEGuU5hcgIiOS3kOgr1W+HylB/F5EQKgkpCdtCZD\nmqPYzWbepjcRPkOw+T5S4GwHGsjiUwi6DAMJxAW7VBdO7++UUCfY6g6wXoBIpgPZOqQmWWkjfNPe\nuxytfm8ks+y32XMj+8zqUc/8Baq0zVAb63kUAepOmwl3dS6KiEjTgG3VaEWjiD1x1hLHQd+E93R6\nEEkh5YjrPwJZVZK2Mi5iaQaZ3UvwEZ8+RaS9rY1rHCJOH9vYXag/7LtJ+EtsPazdzSiDRcz+fwbt\noqTVeS3aGe/a2B/Bh/G7Ee0EdwoOAiWkUsfz2msLWLPmcy699FJWrFhBMtkZZ50Kw96sWzeNr0s5\nDP5foxKLxUhks43HJwMks1kefvBBBiMAX4K2383o2LyDz0GbaFKXi1gZWF2LEN8WIOOw06DOwHsA\nrbA6HPzE7L38jh35ZM4cioqKuP+hh7j15psbvavDIKCgoID1+flMyOUoz2SYF4tRv38/Rdksl6Fo\nnZ/mco1G5Zl4v5KDVk8vfNDc1xC4r0OgXIdgYycS6GchmAjwhuEUAvZCvIAOPtZkJ/t+AIKRt+yz\nDXwxOou7HLcWH/JiF7CbPHJkKSPkA0TAdtlz8Dkx1jXmyFpEBOhOjgoWsIAFjbrlHFKV7MA7mt6B\nwKEMqV36IcAciw/QsQMfxPooBKZD7PnzbJTVKNTyLqTScDpsF4g7H7EHa/CJ27fZ948iHf8W+78a\nGu8jYKNago/yGcXLSGfZyuxCpLgfspa8a7OTh0jxYrxlpAQRjVY2D1fYavZGUk3C6iiwPgxFO3q2\n1RFFKqu91l5g37l7AM7zCfyVwT3W93vs8yOb9MfJn08j4Heuq+0Q+T7H1miOvbPBxudu8q5CqqkY\nDQ0nsnz5U8yfP5/u3btTWPgomYy7trmaTp0cUfrqy5cG/yAIhiPlXhR46m9TONozf0ZKtThwbRiG\ni79su9/E0qdPH3qfdBJvzptHp4YG1hcXM3DgQCZPmkQGAeX7iKdJI81qCvGDexFnPARt3zX4I5/E\nm/yS+Dj/g5A6I4EWpg86lh/a/wOAt6JRCg4e5KSTTmL+/PncdNNNjBgxgnOHDuXQ+vW0DENWrlhB\nFlgRizFk+HCykydzXDZLOQLZCiSRrLV2K1B09wjSrqYR1+2MrQ8g3tDdf8hHAn4eXmP7lo3lL+gI\nbkHwWYfMhq3QMXUKkAQiOB8hCDseETan/KhD2uQkgqPX8JFAsxQiTjBCjqdYTrrR9TRNSDdWkcVd\nsHMhCTbbip2MwCuHLCcAv0YAPwGBSg4ZU2+ymToLHSl3SUs3C1Q+QtKA85gBAVsXW70OtnpTEaFw\nNxbcbV13MSqHgoC0RcD5sb3fyupzzrgZ+9vdgHjR6t1iY3U3jgMkOwYIPOfhMy53QOR6OSLxS+2d\nYrz9AsSuZKisbE3//iczadJ00umReF+yFALa/4+98w7TqjrX/m+/ZTpT6L0LSFOaIiCi0hRbjBpb\n1Bh7iSeJxiQnnmNOqhqNscSKvdeoKAqCA6gISFF6kV6GMsP09pb9/XE/a9YQU853TI6aw7quuWbm\nffdee62117qf/jytbE1/Z33Pt3U6GnHrbyHgXox3IQBfD7kaEdQSBPzLbCzlNt9P7LOOxOMQj0+n\ntnYU2mEL7fvz8T5yDyJWZRAQIRLJpr6+ntNOO40zzniTF164n3i8kFislhdfnMlXpX0h8A+CIIq0\nBy6r8KIgCF4Pw3B1s2tOBHqHYXhIEARHInvbyL/Y4f/xFolEeHPGDO76wx9YvnQpqT172PTZZ0TC\nkHl4HfkupA5JIkjqhMDtXqSu2Y3UOSMQr7gOK4yOXrjzq0/glQ6f4IOtcoFng4CXolHCZJIulZXs\nXrWKlrm57C4vp7y8nJKtWzkXxQVciI7gR/X1zJgxgwGJBCeh49POvnfJc19Bap08e9ZgDiyeDj5h\ncA+b42QENZ+i4+aIxEa7dhleSeJ8W553a4pgpt7mfjo+t2Uh4kczELEZhOwiexBRasDlghyAU5ck\nOY8Iz3AijbyDCGa5jVdPOBaBxDQEtFPw8ld/xG1jT3Zy0AAE0A6kYvh8+QW2Ss7NcYKt2H7EaU+z\nN/cZ3oozCoH/eltp54nysc2qrT3bpQI8CgHoYHwa5JfRztpjcy+36zcjAC1EbzaGuOC9topOOqjE\n+0E9i1Qq71i/cbvfKRn7Wd+zgDhlZQOZPr2WIHCyGIiYOtl1DpJ7QTvqOFuD2chKtNzGfSF6u88j\ncn+CrcU9iJA9ZP1nIfbjWZQHqJONZROJRIRUqoZ27Zawd+8+ZNZqbLZ2EVufhUArotHPyM1NMHz4\ncIIg4LHHHuYnP7mBsrIyBg4cSIsWLfiqtC+a2O0IYEMYhptDJcF4Dl/w0rVT0FkiDMMFQGEQBO2+\n4HO/dm3NmjWcPGkSIwYP5qc33kgikfiL12VkZHD9DTeQnZPDpvnzGblxI8fZdxOQsfEafGJapwXO\nQkd6EzpydQh4JyHYORYPmk8gLvUxdFSdX4hraRtHOpnkAqRBvRIdt6FDh7Jw4UKyg4CtSKjOsL6P\nAhobG8k1r60qBGFuk3XEpxz7FGlZP0aQ8SfE0z2L4MTl1zkdQcNExJOus3EnEAeRaWPvg459DMFf\nNj7zfC3iHVtwYO5Gp1mfgCChAvn3P4pg+seIuGawDHGKAGVNtX2LbL3b4GC7MzoS71qvLg2w49Jd\nYukSe9p3EUl8EIGQS6G3DpE7l3P0ffu9DOm7yxCw9UI7YZ+txF32MxOZt13yt4iN1gHdXrvnF4iT\n34J2zCh75mZEZkvs828hbrkF8pu6zP6/EznlOuvPgzb3qWhXxW3lj0JsiTKTxuNxxo8fhi8q/x7a\nDWXWz9HAWMKwB/LpWoOg5QzgRnsrrv7BUfYzGEHPEiQZjEMnohDtHvf+Yvjk5Y6wVFr/hTbHmfii\nM6eSTl/I7t1xMjIyOf74cXTq1J1otNje6c6muQXBM7Rps4H58+eSl+fYG+jbty9HHXXUVwr44Yur\nfZwdzLXteBvc37rGRcv/n2g7d+7k6JEjGVZZyYAw5JUNGyjZtYtHnnjic9cmEgnWrFnDk089xVUN\nDeQh7eQ2vE4/hoT8TxGcuMql2/GFWf6EeJdJeOVAgC/LuBdfANApBuYj0J0F5ObnU7F3b1MarigC\n7083buSXP/whexoamIGUAU8h3nWoPeMjuzbX+hyOoGcugpSPrT/n4umAfy06kt+3Ob5ofU2065KI\n94shOHJa4ruRs+ICm/tOpM+/EkHsY3ZvKwQZkxERKsbXu3JhUdcjZcIERNQ6AYNIs5hpQCviLG/y\nshrZbN3k51SHQKPeVqMvUvXcbldk2uzd1m+NgCxETqwb7PsWNsMe9namIBIYIj17lT2jnT1vDDpS\ny201nZtkO0ROnYvmmfb3CzbrkxA3/oz9nWMzWoW3wnxq16RttSvsLY2ymQ9CRGKDrYojBG2tv9Ps\n/0OQaf8GEolnSCYbCYJcwrAPfic0ouxMrnXHV8mK4tU/HfAycHP+1b2ZfKT+ca0USTwpdEo22+cT\nELGuQISrHhGbKWiXvWn3tAdOp77+HubNW8u3vz2JFSvWsHDhrwnDGJIaBhGG9ezde/sB+bcAUqkU\nJSUltGzZkuzsbL4q7YuC/3/XMf/PfVD/Tzn0v/XWW3RNJDjKOOL2dXX8/tlnefixxw4o8rBr1y6O\nGzOGij17aGxoaColDdq6m5FXchW+MMtb9pNEvI+TBIYjYfw5BDlv44/9MYjncb4Wh1ufu5CiICsW\n47rvf5+bfvpTnsR7FW1GvOb5VVX8Dh3r3ujI3IcUBsOsH+cJnULqqNCe6YTlyXj1y2REGKJI2+34\nsb6IEHW1+bq01b3QEXaKkxTiNbtan9utnxoESZ0QRDoNr/OIPwcRrpTN7zhEBHKR0qCr9V8CBOwk\nxh4m2xxLkYRwKj79gzjXN2zmLg3Dt20FRiHSNQaBZgxx+v0RwBbZ/TkIiF0cctL6AR0jp+R7FgE4\niLzFm83EZYoqsnt32eycp88ERFTiiLQ618MP8c6xCaRaaoEkjjQCYQeGoN04xj67DamonLyVgTeo\ngg+oCoBDKS5+1+bhfM1ieIPzclvVuYgAnIUsQXsQUalqtlYfIZbFWasSdl2pXRfHS1+/wEfqVqI3\niY27H3pnh+HDHLF1Gox2UwaNjd/kmWcepra2kieeeIKrrrqNmhpnj0kRBAFB4OFuxYoVjB9/ApWV\n1aTTjfzxj/dw8cXf4avQvij478DHnmN/b/8713S2zz7Xbr755qa/x40bx7hx477g8L4aLRaLkWy2\nIRJANBI5YJMAXHDOOTRu3syAdJoafHmM3Ui/7fhDFw2bQHxLO8QfNeJ135vwEb0V+ETDLgFuJj4/\n4jIUyJWPjnBOURHjJ03itddeY8uCBYxDfORGBPiuZpHzW8hCMBRBgBxBRqDpeP+LbARFGUAsHqeh\nmdqrwX5aIXh0ZrTFCAKm2TPH4gvDb0fCfjXaxNl4feNSJIi/jxQfGbYeA2wtzrbrqmy9PrXnOWiZ\njPj1Q5GE5Ep9pEgy1O5theD5YxwnE6ELCbazlrCpDm5Xe3sJm81YBDjVeC5/E764+is2qpcRKLsq\nBbPxSc0W2edR/FFzb7cNOlqjkEw2Gy9xVOBbOd7qshvvzukifcfZ6q5DxCxEUsrF6G0+jVRFh9g8\nXA2BvYgwuDw3Ad7y8y7eQXcpImIRxFLcb/1vtWe9jnZLytYjEwHwQ2h37EZy1yKb33t2Xy5ZWSH1\n9c53a6s9+3J7fp3NdScC/I02h0a7Np/PV7/ej4jiQsQ2pUgkEvTqNYA2bVqTnb2PhoaZJJPtyMlZ\nwiWX+KpdYRgyadJJ7N49DCkl93HttT/kyCOPYMCAAfxPW3FxMcXFxf/j+137QhG+QRDEEO4cj1Z0\nIXDOXzD4XhOG4YlBEIwE7gzD8HMG33/lCN/9+/czuH9/uu3bR5tkkiU5OZx79dX85tZb2bRpEyUl\nJUSjUY4eOZJBoaBjFV435spYuFQKoK0ewWuTI/bTAvE2lej4foigx2lY16AjnI2UES7M50h0TPMQ\n6L3fogXVdXX8WzLZ5Mn9TBCQH4ZMQSazMWhLVyDOeyySQpxROR+4AB1dV1bDEZxKZIdwwV65+Aqy\nlXhzZKn19S10jD9BoN4bwU5rnLFVEcsgyHoZ8bfOiP22zX+rrWtHxH+7COBGG5uLOi7Fu9t2RBIR\nSNPe1e65B6glixTdiPEZIXFSDEGgXG+r8xECe8cVd0UA3RkB6EAEgLttBAVAJUGQY3ng6/E++FFb\nqWoE7qcgkH3FZuASwE2x0TrT9VkIsIdxYAqHLminOf/1PPvZi4jPTHw5oOkIsCci8H4bKR9LEEi7\nrKIvIiWlI+4d8Cb3BA6kfRTvY/YG+9pzdyOFnXOJfcTWMYKUg3G0Q3fb+p1v81dBliCoIAxTtmZD\nEWDvRDKee76rlhFB5L4SEYHWiJAch09h0Wjz6oN2x3s2n3wgQTRaz6mnTqG+PsEJJ4zn6quvamLq\nKioqaNOmPYnEj3EtL+81Hnjges4991z+Ue1LifANwzAZBME1eKXc1DAMVwdBcLl9/0AYhm8FQXBi\nEAQb0Ln6asg8/4utqKiIRUuX8suf/5ySHTv46ZQpXHbZZfzsJz/h7jvvpHVmJiU1NRwdhk1lrYsQ\nbETQ9itFnOa5aBtXIg61AvF3HRGwVaIt3g6fq8f5Qjh/kVc5sBxIPeKLxuDNg5vDkNVheIB+LpKZ\nyYqGBhaHIVEE9O/a80bglRhdkT/GWHwexvFIs9wHQZ3zco/YnBw4D0SCdwRBVCk+T89DSMJwPiku\n5XQdUqzchveMz+TA8pNtEWfigv9XcmBJ7q4IGtcgSHHJ7u61ay4CHiXOE4R0IEopSRqJkOJ6ICDJ\nr1HwT0vr8RF8CmZHrroiAHMlGi9EevAjUJRoLfJMGUoQLCMSCUil2tpKufQGLhzuVHxB96NtxZdw\nYJSDSwHRzZ71OALe3oicNeATX7fDubOKxL5rK+KUcyfh/fqX471nXMKMXWiHHmkrmIGXBtrg89/E\nEAQ4NqYlIlIhjvDpOYXWfyYi89noTfe19UvgE7E1oLfbmTC8Cu3oh2093rdnptAuKLN5rUOEYyNi\nkZYgVqgI7dA6MjOjdOlyCBs2bLL1+szW7nBEBNqSSuUzc+ZsHnjgbkaPHn2ANN+iRQsyMjJJJJyZ\ns54w3Em3bt34KrQv7OcfhuF0xBY0/+yBP/v/mi/6nK97a9++Pffcd1/T/x9++CEP3nUXl9fXk1tf\nz1R86i3whf1CxGt9hoAxio7ZhXgN7n50HArQtp6FjlkHtGVdlpa37HoXNxkiqNiEjukGe87hiLc8\n8YQTeGn2bIbV1rInGmVbKsXhkQjHp1LsRl5DddbnB4gvdOW/HQ/nmuPOh9rfrfA5IdfaZ/kIwhwB\nW4l37XwB8X8nWT9dEed+NIKFHohnnYtg7FDEt33LnvOBzfcJZKJsg2B4MjLrfQNJTQPQofgMEZHA\n/q6wpyY5mW2U2NWPIHBdj8ClBF/oxBXCXGgr/pm9BRfY1IA46HqkvvjUPmsHLCadbn404/gCmy5q\no7bZ97Vod7S0FSy0v9+zax9DoHcIvnbbSlvB7yI5qRpvMN1mY69s9oxqe87ttqLnNBtba3xi8c3o\njQywVXeF3vPQLm2J4GI8Av2VaOecjAC7N2IlPkNWlXokAzpp4lN8BtIoeqPOInYJPsfrcJt/IT16\ntKSiopby8n22rh1tTIVoRw5Bfl71KOWGYjUaG19gw4b1iOOvwktboPd4P3AjVVVrueSSnxEEpbz6\n6otMmKD48kgkwrPPPsnZZ3+bWKwLyWQJ559/FqNHj+ar0A5G+H5Jbe3atXQLgiaXzcGI13Klsd9B\nwBNDx+EzxI/1wemffXMBYK2RJrTE+jkSgeY0dFwuRVv2Q/txLpANSFHhYktnAhmJBL+59VbemT6d\nmW+9xSGdO/Phk09yfDrdVNxkIN5VdCE6co7vGY3UIlUICpzJ7VMbn4uq3Yh4xBx8Lab1eMIwyfp7\nmAPjNlvi4aYS8ZpnWV8fIOB2+R0DfGF25x+ThYjcVgQXLvMM9r2DmnMRNM0B9rPRUjT3szcSAeYR\nYb4Zs1+mhIAEg0izFm+iPgWRnDoUTeuSULxhozoXkbmtyNIzBqlwNiM571IbeRKFoiUQYB+DQPkT\nBHxFiKMtxof3pfCGVMcugHaCM1X3QLuvCu0WuTiKXXD6dxfd6qqMPY2UeiU2zjK0C/aivERFNq5y\nxMHXIRn1BEQEHyQej5JMhoThduu/Ag/g7dFuKbR1PBsZfz9GOzQPqbdqbR0DG4eLYVAm0fbtW7Bp\nk7ODDEayXB5iee7Dx0bk2N8bcAlQwrDa+o3g8+K65tRG8vOqrT0WSHL22d+mtLSk6aqTTz6ZVas+\n4ZNPPqFTp04MGzaMr0o7mNXzS2oLFixgynHHcVFtLS0Q/zMjJ4fMzEyqqqoIk0kK8LpnF/Ljcjpm\no6O/Cal3XIBTPgJApxOvR+DYHYEj1scv8K6f2/B8WTY+QH9NmzasXLeOwkJ5sbcpLOQbFRV0sj4e\nQ7xkXxSUHyCw7oTiCDbYdSGQnZHByFGjmFtcTDa+8OAwuyeF1Do1CFIeQYRuPD7xwUcIJvOQ6qoE\n75cyDh3vP+F5cef01xrBRyM64p3Q0d2MiEJLpO5xxvXldk9LJMm4NfslAHGiRIlQT0hAIzFipLiG\nNIUI6u7BmQ2dquYmvJrjNUTyQODbGum4XfuDPbXzX/l/KgLGRfjEYxfb96G9iS42epfyoA4fK/1t\nW9FXkO2hB5K76mz1AxThEEPE4AFENJzX0SREVKbafVFEDNfZ34UoUOptRBBciUrQrqhEoP0WUrUM\nQRKQC8+7AbEGaUQoq9Huv6DZGv0GESdXh+59RJ5BKq5qoIF4vNbiaTKRRSiwdXvX1uoEm/8CG4tL\nwzDGxrkMnaRqJCmENt42iMC6dSnHFa0Pgl+SSDQSjTaPnPnntoNZPb9m7cgjj+QHP/4xv/nVryjM\nyKAhGmXaG28wfdo0Hps6lb379jUFX41HgnAdgoIAAf8SJDhPQMdmHhK2ixGw9UDhOBvxTnBxdOSd\n1/dbQEMkwvB0mtUohCaK4GNXfT3HHnssa5YtAwTQj9szXJhSDTpOLpnwLJtfiI7vaejoFjc2Mqe4\nmFwUpBbHRypPsPtbI2Llgqwakff1+XhC8gSCsU54Xg1bm1cRvzcJQVEhIkzOpJmwORTYGmShY+1S\njS3AH39HLFwmG1divSMJckmYbSHkXRK0IEahcYAuTGg/RUiF8Gt8ar1aRPJOReQsbqtYhsDauSe6\nVm4jXIMAZzM+j85YJOO0QiRvGF4tNNH6boVAMWGzHIkPkYsjduANe8aPbBXuwXti50ETqV6FQN2Z\n7IegnZbEJ9ZusDk8YXP8gM+3BkSal1nfy9BOdZ5LzsC70VayC3r7Li7d2Q6aY10t3rC8Eb2xKGGY\nhd5gA5JgXH6fNJIQXLlG5+7aGikCXTxBiN56pq15hHh8KdFonPp6l4o7D7FPewiCLfTpM+B/Ffi/\nSDsI/l9i++lNN3HxpZdSUlJC7969OffMM9k0Zw61dXV0QVuyFB3teUh/3REdk8UIKE/CJ+QFbe/D\nEE/m3C97oa1+NwJNlzKrFdAQBDz94ot85/zzSdfVNcVchsDuujoqly1rKmY+C/lNtETc8TB0VFJI\nWbHXxtc6EmFROs0h+Iw0pyIIbIf342+PjnECwc9G66u5l84MRABcYFsuXu+/CxGKKJIKDrU1c1nv\nL0E8XiXe5fQivEn2PrxtYorNJ4k8yl1i5QcQT70aSRez8XxxJwSJu0iyCUHYJhx8O640B5He2QiE\njrCZbEQc7/FIqdUWkaQ+tpodbIYg8vqhvbVvoLfvYgXG2ApstZ+RzVbYebcEtrLD7PkppBDLsbFs\nsj7ybRZPIqXhJjxZzMJXu0ohAG9hqxRF3j5OJtuCdmUdIi7Ho93q0giutXEMRmqtNCLZn9ocNqDd\nOwhJSs6k3xVf/mcavtzjKjwr4N7kYpLJt20dnKH9NHwZoP0cmIE0aW/OR+Y6K1Q0GmHy5Cm8+OIz\nZGdnE49nooR8mc2ufYj27Tvz5puz+bq0g+D/Jbf27dvTvn179uzZw6zZsxnZ2MhqZIZrgc+msh9f\nyK4HUrcswB9z8K6SpfazGamTvom2fAba2i5W802gRRBw3x/+wOx58zhp4kQeLytjBLAtHqc8mWQg\nHojPQua+dojDHYy3SwxC2thdwI4wJB/vRx/gtcubEQ/VDgF21Pp0YUHZHGj4djWCy9DRzm/2XQzv\nVupUPWts3fKQBno3ihhOIX50IwL/CDSp1fIRwShGUlYjgrruCIpWWv8uJZdz/gtt3EmkAXca4CSB\n3d2AOPsbkfUlF3HspUgfnoEA0clBRyDS9zwCsymIZK5AJOwMxJU6p1UQYJ6DiM0upAKJ4+WwBD69\ng0t9vAKf+m4VAubX8QSnHsmVbZBrwSP22Rxb4Rr0Rl0uIhfDDbJVPIRUM2n09l9HxG28rWI/vME3\nQIRiIc6BORLZSjq9CUlHEZv3R9b/WTau1vgU0BfiC98/g9iAochy5rI1OVdNECvyPGIdetm7GGnP\neh0Zn6sRwQ2YNWsmxxxzDK7l5RVQXr7HnhkCZWRmtueuu26nV6+vTtbOv9cOgv9XpC1ZsoSGxkYW\n40tHOwNkDeKD9iII2Ip4n7GI/zkJHfHZCDh3I/7QlfKYiq+2tRyB1TJ7zg/SaSDgb0EAACAASURB\nVP64cCGPP/IImXV1tLXv9oYhmVlZ1Nc5fx4dswCY36kTdbt3syKVomMYkrJ+YwjyWoUhO5CU8DTi\nu1yoTxd8kfhc628iOqpb0dGdiVRSCfzxd4UO96CjX4SOtjNr5iOX1lK8smGF9e14uWMQNPbDB/m7\nwDeXeX6aPe9SvEfSvfiyKRFbz5GIL3a1AFxxmEa6IevBS/iMlQ64X0FlCwOkyFuO9M4FSAEXxXOz\n4xBX7IKljrTV6IRIVU9bhWX4+mdx66vYZtxos+hjo92JuHKnMrkTsRHDkQF5jb2JNbZaHRDgZyLw\nvwjtxjgio3Pt+hI8md+Fr7P7LfQWn7bVe8/elNOfi1Sqn1NsDi+bn/7Vdu17SPZta+uy3u5x6Z4z\n8DGkXWz+ZficsO3sf7+P9XdLG3et3TfEnleP2KyWSFKo4brrfsTdd/+O8877Drt376SoqDViJZyM\nnSAIar5Q4NaX0Q4afL8irXWLFuRVV3MYEvIrkcfMXnRc89B2dCE+K5GKZZf9rsVz/e040IToyg9O\nRtz6B/hUziOBD7OyyMzM5JyKiiau+51YjC6nn86rL7zA4dbn+4ibb5WbS16rViQaG6nfv5/qhgYi\niMNeioR6F4DvTJ6dbS5jEdQ4R8P9SDJxWtaH8YX9XJBVFIHrTiQRzcNHBZfatZfiPaX+hCAxE0HY\nKPv8XbxZz0kMBSgLPrZGt+I9zo9GEo2TGBz4pxAx7mSf90R8ayYxKpmMyMo6m9V++xmCwGa7jawQ\nkcrx9vQ9iKyk7f8YXqm3FRECR0y6I2AFqUheRKqV4XbNKsT119kYdtoouwJvkJnZmYaGHYh7dib5\nIxFROQ3tptlo1+XYdUttPIPsnmfQzrwekfMcvGooE6XkcykqliLiM8jGCuK4OyDu+gQEpCD1zCxk\nGcLmcAdeRXMRPl2zU/BdiYhcGTIS56NTkocIZBbala6awweI3C/Bp9VogXbbQOTJ5U7QVjp3nkt5\neSnV1ZPRm/8Qybl1xGK5RKNp7rzzDq644nK+jPY/NfhG/v4lB9s/u+3YsYOq6mrOw9dHSiKwWoUA\neys+H74zJznnPefn0RUfyO+SwFUjkBvXrL/DEHE5CwH62LFjicdiBwS2pyIRhg8fzi133MEyfHD8\n9cCVNTW027qVyr17qQWOGDuWFjaew+3ZexCxKkTAvcXGMQuB89soAnky0hJvRKBcibh1t5NjSPV1\nqc1zHYK9yUjbfHGz62j2t0v69h5SuDyD1GQhgiSXgqIerzZ6D4H+xci0OQMdcxey1AUpZToh7XwO\ngo02TWsaWi+bEEk7C5ncO+H9tgKbqUuB4Fo93jIxykboOMmuiLSliEZT9kTXWtqs6vHHucT6vwyB\n8KXozb9BEKTIzKxCHPsleDfS+Xbva9afi94dhgD5BGS7eApZYcrwmY8uRhLEWhtrLp9PrJZlz3Fu\npPm2unE+H7Pg1GUzkQTlvH+62loGeGVkHiKajyMLTS7aqTHroxQR34vs83n229Uv3o8qen0P7YhF\ndt/TwEoikdkMHToIEZw+tq498KF/jWzZsvFLA/4v0g6qfb4C7dlnnyVAgv9etMVcrGMndCwzkCQA\nUuV0QQDkctJcizSzOWhr3494lI123xHomHyMj+6NAFl5ebz8+uvcc9dd3H7zzYysrWV/JMKGzEz6\n9u3L2LFj+f73v88Vl1zClqlTm+r3Hg6sT6U4J5Xi0Q8+IIp4xe7o+DkOuRId+W+hY9yIBPcp+PRZ\nSaRuAalkojbW09HxfBkpSM5AID4Pr193/PDz6OiW4bn+Ivtx4B0guGuF+O9nbI3uRpATQ55FLo3a\nKJtTilyyqOF8G9sQpGhxhPltXDRxPt6t0vnUB/h87y2RGsSN5MFmIy223sfi6846L6Ba+zvC0KGD\nWbRoAb5683bEtc7DqztW4aUL7O8CBNRZVFZW42WtAAH9Zrwf+3S8H/t0vIPsFWj3zbXPMuwNFOCj\nhM9HksaT+Pq4a6wvZ3EZYD8ZSHadhyde79u87rXV7Y8AOoZULM4faw/eiD0QnwhkGtqBw/HG40l4\np94VaDf2sfE8h4fBQYgVmWjv4nXGjz+WoqJCqqu3IbXdVlvvNBAlEokRjze3vH192kHw/5Lb3r17\n+dmPfkQcHZEfoCNxFPLHONGuexAXUqQjmI+Owv12fRUC2hMRAM9EENAGqT5c240g4BhgWk4OP/r3\nfyczM5MfXH89bdu149UXXqBiyxYa163j8nPPpaKujqKiInr07s2+7GxG1NWxARmLG5AZLicSoX06\nTXkYMgfxchHEW/ZDwvVL9vxsPK/qWog0yaMQ9D2Njp/T5I5H4N8PwVkXpEj4no3hYevjDXRkj8T7\nw3RDAnyAePLZyJ7QEcF0ESKi1+LTqrlWiYPDSNOcwFdIc5DSCxEocYWZ9tS5iFt2qegm4XXMztAb\nIlnGxTQHeCDshjjZnoh8JYFMFi1ajue4OyMu1fmlb7MZZNnKfIB20iYEloMJQ+cKudCekbLVHGEz\nedhm6Sw4LhLkMWRJysTHF7g8OYciGdOBYEcUlPU4vp5wRyRVlDdb4baI+89FJNsl1h6BAN/5dfVE\nLqj1wD0EQUdgC9ISr0cE4H0bZ4jeeAu0Ex6yd/EhIhDZ+JQVPdFJ2oFPUpdtzweIUFlZxrx5ryJi\ntxvvqLwUeJnu3XtSVNQ8/PDr0w6C/z+wJRIJpk2bRnl5Occccww9e/b8u/c8+eSTHBKGDEdHI8M+\nd1GvDejYpNH2bon3eGmN5/TnIKB3nstnIn+LEgSEcWQgBYHnR0HAcZMnc8ONNwLSG377ggvo0bMn\n35w8mTMbG3m+sZGTgdalpcypqaGuoIB7wpCa+nq+hTjoGUB9KsW+ggIOqaqibSpFcRBQGIZNuvbj\n0VEpRNDk0oQlbV4un+RHeBdLnyZZ92yy+bRBvOIwvH9JB3Qsj0fwMQtJOosQf+tUSD3xtaPeR/Cw\nCOn2CxFBfNn6qgGWESVtboM1+LyULsFABKmwduKCupzRcxMCRVcoMqvZ6vezGaywJy+0mbSx+1rh\nqgb7dH4ZiDy5OrLzUNBTgBRODyFF2Gc2chflWozYAGcYrUAE6WW7zuWIdZEOm+z/U9BubI04YxDw\nTrc+euFDBp+3VRyMALybzWEugpcheLA9ETnYvomkhbnNnn0j4rpb2U/zitTOpVLeQ2HoDMaBva3f\nI0J1A5LJnHzq/PB3IEJQj3ZTOX43uiyq+Uhyap5zMqCmppZ4vAt1da3w8REAfQiCt5g5883PZef9\nurSDOv9/UGtoaGDcqFHccMEF3HvttQwdPJg5c+b83ftqamoI8SUJP0Bb8320VdsgmMhCPONufDjM\nB2jrBvbZHnQMwScDdrrs2QjshiHHwKFhSLeuXT+3cdeuXUvXMGQ7EoL7Iyg5ob6esooKvn3ZZQyN\nROiFj+WMxOMsWb6co3/4QxpHj6Zd27bU4ZPjNtqPiwn4zP5/Gx3/ArzKJY2XXGYjwJ2NTwnmYlCd\nQ52cA33i42LrLw8RzUX4JAcLEO/3C7xiJcQnEu6FoGoe8DEdSfI9m+EZQJRFyPi72Mb5OCK+Lp5C\nAHs60oEX2ltLIXB3STnW4GvbVtl3VyByfTJOXx2JhIwY0Y8gqEEEwwHaYLzfFfjk3rMQtzwC6fEv\nR8q5bPTGj0aE5BUb8ZkIyLoilmKKvW2npgoQJ30xigouQJajzrZKUfsZamNwURpzkZzn/MuaZ3hy\ndoAlaPem8Am2AxvHXkSy19nb24rA2aWsPhLFFIyz5460Z4209T4EH/+9GBG0U2ydWyNX1IcR0boX\nSUZn29haIgL2qf1M56qrvktj4xYb4zqcfSIS+YRhw0bQtWtXvq7tIOf/D2pPPPEEZatWcV5tLRHE\nYV520UWs3bTpb94XCQI+Q0erNQKeYnw+xt+hLX02XiB/El8V1pWkPhzxgA+g47berilEUOHAcxSC\niBU5Ofzb8cd/bjzT33yTVbW1jOJAFUgVkJOdTa9evXgwnWapfZ6BCF/v7t059NBDKVm3jnaNjZQj\nVVV/pH5qiWAjHolww3/8B/91882MQ9rabJtnDeLeS5E30C68l80oRNycd81Ldm85Oubg4xfa4qFl\nP+IFo/i0ZU5t0ysaZVssxraGhiZT4XagLVFKGGhvBSCfkBgpCklzLbCeDJ7jBFIcbldkAvNpSaop\nq+Yp9jbybIQudM45uWbZLF26YpBevRrIJp0uYsmSFabacOQyA68/X4NAepbN5ijEMjgPG+zv9bZi\nzoC7AQH2MqRQm4UMw4WIKOxA7IZznm1pfY2xe9ui3d3XPl+DV/RFkTLSKfKOsOc8Z/19anM/HMmC\nDagoTSayHRQh9ZUL61tg3/VApvbH8A7QXfC+/yEC+V5INTUVkek2+MQn7ZHkMtCu+cD6Gk08/jYD\nBgxj9epyGhrGI6KRIhJJUl1dQyJRj5dL7yA7u5DWrQt44QUX+fH1bAfB/x/Udu7cSdu6ugPq1U7f\nt+8vXltdXc1NP/0pny5ezIKPP27K0Bkio21LdMyXIL4zC3msxNHRm4KOwVXoKLmg/CHoSNQgFcYM\nZOx9Fx3Loh49+N3WrcSjUX7+n//JSSc5naraTTfdxBuvvko+IkDyupYZb1lODr/67W/54Q9+QBa+\nIOCLCCI7pFKsXLGCnuj4utQI71s/ecBrsRgdunfnkQceoBsCWseBx/F+HfVIi7zBPj8dX27SpcUK\nEUErxScPPgSa6h13QTaT7yAY+C6CoWV41Vp9KsWFqRT34n1X0kAPUpQylwQdbIWnESUBlJNmIbCO\ngFQTaQBBZ4R6Umy2UaWQXHAd4jB7I0tGFQIn52i6BIFxAVLepZGuez+pVBqR9g7ILJ2JiMMIZNhs\nQLsjG+/0+hGSnUIEns3D4pwRdykirT3RzmheM64egbTzZXLEpMyeNRjJPNttrLV2f8TGNQGR5Mds\nVVzWz0q8D/4yG/v37JoPbe4VKGArxAe6OX+uzXgvpCQCb1fKMkCuDNvwuXbOsjX/I9pZxyGC5Wr/\nuhC/35JIwN69XSkqSlBa+hmJRF9yc5dx6qnn8u///gtSqatsnEvIyJjFwIF9KC0t55Zbfscdd9xG\nTo6rePH1agfB/x/Uxo4dyz3Z2RxeW0sB8GE8zuhRoz53XTqd5sTx46n+5BP61dc3hZuAtmRrdMQ+\nQVzwPLSVT0UE5T3Ev+Tii7jnoq3sUhWch/icpYj3GY+OSs+ePVm5di2xWOxz6p50Os3tt9zCtxFw\n7kVHfG0sxnFXXsn1U6YwadIk/u3yyzkRXy5yAr5i12gkjIM03EvwsaXlwIpkkrFdulD63nsMQvry\nCQj6PkMELo2gbDVylnwHcfzvI9OjW9ECW5tMBF8uatc1x4e6NbofbXYHTynEj7q8RFei470Z8aIn\nUc9snqUK6Nm7Jzs276VNMsl23gE6k6AHb7GJMxGMvQckqEXksgciXT3x8c1j8HHFgxBIH4I45bux\n9HdIxdIekd9d+EIive2zf0M75HgkL3VAXP8L+Dwzv7FZxxCALkM7Y62t8BZbmRnW97M2vn1IUshA\nwPqO3deApJQ8e6sgGcrlZs1EBMBZWIoQ+V6AJ3D9Ebgfayu+F++NNASpiyZBU9XoiciEP836m492\n8+342nBQUFDMNddcz69+9Vt86sNhNhbn5umUgvKQGjJkONu2bWP//gxSqfOAzuzcuZj27Zdz9dWj\n2bp1J5Mn30QYpnnmmcXNxnk4jY1vsGhRHTCKxx9/n+3bz2PatFf5OraD4P8Pasceeyz/+dvfcuMN\nN9CYSDB6xAgef+aZz123fv16Vi9fzlX19UTQ0ZuGD0JfhWCgI377tsHnyDkNZZeMo+N4KALKMnT8\nByDo2Gr3tkY8Whdg0aJFf9Utrbq6mmQq1ZQ7so3dU9u2LXfedVfTdWkOzPLuVEPV+DAdED/mNLq9\n7Z77gOL33qMTPnGw89Z2dZSy7fpypOnejCCvKwfysAXW/0R0NF9HGtl59uz3EETca+OajJQwLuNO\nFK39Yny6ChDPDFKGpIIE/fv0oVe/QfTv35dp096G9FAgQppFlJLJwzQQ0Jx3vhIBbjWSxyrR29pq\nT69CpD2NOGyXl7SHXfuC/d8BgfAxyAm40Gbs5BYXHZu02aftmS6lQkBmZgYNDYMQ8NUh8jnEnv8R\nUr84WWgVvuhJGu2iesRRY3M42cZxH76mgEsUvgoRvh9CkxUrjZR9rW2uga16KSIIzoD6Or6urmsV\ndO7cie7dc5k/fx6ZmQUEQRUXX3wNb7wxgzAMufrqy7j++h8QBAEvvfQqa9fWItXPXHyFZ9Au7GNr\n/0dWrPiUaDSHVKo9zqcsDIdTVjaHgQP7M3Bgf8aNG8cbb7xh760eEdzmWbE6Ul9/Mm+/fSsNDQ1k\nZjbP8/P1aF+0jGNLJJ91Q+f0rDAMy//smi5I8m6LdsWDYRje9Wdd/ctE+IZhSCKRICMj4y9+v27d\nOkYPGcJVZhuoRXxfCoHbJHSMVuKjeZ3yIIJA8S58vsEkPqVVc5+IFDrahYhnmgQsatuWbbubG+AO\nHHfPLl0YvGNHU8GVh4AnX3iBM888s+m67t26sWPrVo60MSy055QjADzPnv0o4rl+1uwZT6NNEkMQ\neQ8K4i9AvOWdiJh1QHxzS+sfBDvzkAoIpG5qjYzEIOL3EDqidQhy+iOVVwe87cHlbUyiTbnH7nec\n/ybk/38+UkasA0J6I134WKQ6WGL/O5/+SrwMclWzGd+BzyWaRiTOEYEJ9vRnbfZFeEAfafdU22g3\n2nVZSObqhwB8J5FIQBiCKqMeg5R+So4di0VJJl2ag8I/G9vdyAWzDMlgjoOvR5LE8egNv4mPtW6w\nNXjErtmBkmy79mt83eI668+5sDqDdwtkjJ5ma9HSrp+EzPxDgDSRyBKmT3+d0tJSwjCkR48e9O3b\nl5YtW/KXWnFxMccdN4kwbK5iOgHtxMPxyTxCtCMGImJ1FQL0fQTB/eTkdCUMWwLrSadT1Ne3QlKK\n88JK2/UFwDeIxaZSV1dDLPbl8dFfVkrnHwMzwzC8NQiCG+3/H//ZNQng+2EYLguCIA9YHATBzOZ1\nfv+VWhAEfxX4AXr37s2hgwfz+tKl9GtoaMrFfyI0GQ9noSM2Bh3FB5GWuB8Cw9HI770ar++ehJQE\n69EW32fXFKBtPicnh9/feuvfHPcfH3qIi84/n3crK2lIpznp5JPJzs7mpp/9jILCQr773e9y+KBB\nVGzdyjI8pC1HBKgenx7BJXzbgOf8XThSBiJ042xe3ZAfSi4C6CwEugXIq/opBDsjkPbWpbJwcQDg\nUzNXI38QlzTBpTNrgaB2GzJRulpQQ+3z+xE8ugygs4mxjUygjtZsYF9TyfuHEUB1Q2T1dHvCCYiD\nXYMIhCtqnrA3UmsrU4tPudwZkbtViCv9IdJ977D+t9ksltlqjUAKvI9xNX3TaRcxfATetbE/ymrZ\nAQFXET4IKgMBs2MXnIKsu83lLrz8E+DTGWQikM5HRKyPjaPG3txOu8eVW/wOIlRbkItCBlLH7EBk\n3oHoNlsHV+H1U2AD6XSaSZNOJhYrJDMzi+HD+/DuuyoYuHbtWm666b/Yt6+Mb33rG1x22aWceeZ5\nhOHJSEZOItAvs3WuQ4RuFyI6o/ARGn8E2hOJbCEabUNNzfl4g/qrtm6F1lcm2jHHArOIRJ7iuuuu\n+1KB/4u0LzrqU/AxRI8jCf0A8A/DsARzyAjDsDoIgtVIq/EvCf5/rwVBwODDDuPhhQvZEImQSKfp\nj2CkK95fwqlQspAqZ6f9NOBjPs9DygKXEC2C+LEaxImfiLS8q7Oy+NMbb3Dccc4c+vl280038fvf\n/Y6W0Sj7k0n6RKMseOMN3n7tNY5AW//3t95K6f79XAdNRd2fQ6DeH19i/ESkqFiN9/OotrFutHFu\nt7HuRASiBSISC5Aqph86mkXIUfFpvFKgnc1vEwdqhFvivZpcc6keTkMa57uQybIISRKLkUh6ha3b\nXuSCuoUIUmd0Yx8fE1BLyFwEsuOsd1cqEQSG5+ELhRchX/xNCDQPQyqdKCI3riTOdrs+BwHV0dbH\nXATWT9vI+yCwPBapZF63vq5FQLcRkfkksqC0tFUcighKiCQCR5g62bPfsTnNR6Q7Ym/BBYAtQLvt\nGATcH9i6tLPn3W3jceC/BslXzirUDRGHCXa9G8cQG6MzXM/Bq1j2I/faNiSTb5NM5vPxx1u48847\neeqpF/jkk6WIyI1kwYJfUFw8h3379iAbC7YurWwdGtDbz7A3vRpJAf1sLdcAOaTTDaTTLvEH+FiA\nS+y9uCIww3DpJTIzP+W2227h69q+KPi3C8PQ6RF24yPj/2ILgqA7eusLvuBzv1YtDENWrVpFVVUV\nH3zwAU8/8ACXI5B/EQF0L8R9unyFaxCfl7DvOyOQjKLjmoP3w3Be41F8ZvQASRCNQGY0+jeBf8GC\nBdx7xx1cVl9PHjoyL6dSJJFQ392ue27vXnZzYDE7EGi6guofIQhJN/txqZ23oONWhHxBkuhYnYjP\n0gni+HcjgtMfQclR6Oi52FaXznklPiNODTqaH+B9/d9sNv4CREydrwm2VquRUiUXwU+S3ghwL7CV\nHULIHwhIEB6Q791x9Jm2Ai6x2mQkf4Dejgt+ckqpx21mzlepJyISrgBnP+vvZLRDWiCVSJHNdCYC\n10z7ORmR/w8RicxFRGQ+4rPK8ZWVC+2e7Xi1S72t0mS0C3eh7KOOdLa2Po+371zEb3u0G7YhAtLf\nVn8jAvAitMtr8HKa6y/EO+nuQzthkL2NEYhIhUjOfYaamoH87Gc/p6GhDu10JZ+rrT2bV155xZ61\nGMnLL6HdVmDXbsYXQK1BcuVGfEoKV2R0GdpBhfZ3P5oHdclA7t7/Rg45pO/XNsAL/hvgHwTBTPSW\n/7z9e/N/wjAMgyD4q0p7U/m8BFwXqjjm/4mWSqU454wzmD1jBi1iMXZWVdETHZ3W+Gww69E2zEJ8\n1Uy8UB1F0DAe+T+Edk8ZOs7vIj4pjkJ4kgguHMBF0mnat2xJUWEhf7j/fiZOnNg0tqsvv5yHH32U\nnul007buhQ8jau7O2ArYGInwZDrNGATQrtyI492c42EC8UxZSOjfg6B0OoKdCJJ02nNgVPJ9CNYG\nI29zV8LjM1uXQ+05uQh2rkGb+EV0nOsQj1lsY6hDCpk00pK7QoGN9qwYInCbEHQk6QpUEaGQdBMX\nmE8AjCTBfGbZSmQgcjXKRnUvnqeZYysT2si7IDCpQwRiCQLHXnZvJlI/PGj35KKkYa3tDXwT6aef\ntxm0snuL8VLEGHxpwQvt7XVFtd864Qu+lKAdcjwC2KWIaAywMbgsSHF7xniby7MoHiBib2wJPuSu\nPb7asost/6ONf59dM8eeuR0BfDU+O5WLavkE7RiXmvA5m5++a2gIkL2gEJ8O8C2CIG3PWoH33/83\nm8On+HrHO/F2mmpb9xokPcWRSu8+e16+9eeCx5YCUWKxe8nJaUM0WsZTT7m6dV/P9nfBPwzDCX/t\nuyAIdgdB0D4Mw5IgCDrg7Wd/fl0cvYGnwjD801/r7+abb276e9y4cYwbN+7vDe8r35588kmWzJzJ\nFbW1xNExm4sUByMRaN6FALMaLWAJ4i+cj38RcAsCzghex/8wPm2xE3hPRJ7MLvNKLBKhSzLJcfv3\ns2//fs76xjd4f8ECBg4cyG9//WtmP/ss0XSabejIFeDDiPogFcgkxDt+DBw+fDgfL1zIYnw2ywXo\nuPRF4TMgpcQCBLwu5uAJxNN90571ON7LBptXgHSJAeJFHY/WCwH0WvvOmRF34hMc34aXBEJETKsR\nx+HUQeejYx63+X1kz9hpY4qwlbDJB1zqkQhz6UiM9iSIEifFSzbjMYjDd66HmTb6NxEH3gNxxe2Q\nPv33iFzX21tO2KrmIg7cpWx4GpEiZztqbX07QjMHqZtSSIXiOHSXa8dxo+6zb9g46u35LfH5a45B\nlqRVSPF2ht3n2AyXbmG1zWsrkjRGIgAux++2AB/XfS4iGnNtHisRmKbwcdUBXo4cbn2tw0sFnWxN\nXK24Whv7o2jnHAssIicnj4aGLXhVU088x97b7p+DzyrVCsUBPIxOovMjm4II6LcRG7UXvbM4nTq1\nZd68VZSUlFBZWcmIESP+qvH5n92Ki4spLi7+wv18UbXP64jNuMV+fw7YA8lFU4FVYRje+bc6aw7+\nX+e2Zs0aLr3gAjZu2kROXh5da2qatmI/dGydj8gnCOgr7PvT0fF9DXHWPRFn7wDvLHym9ovREa1p\n9uxtiKCkgW49e7Jz2zZOSCTIQUSkfzLJzJkzGThwIO9On05VbS0xBOL34p0UuyFN6TtISqkHIhkZ\n1FZVNZXs2GHjOh4BvUsOACIEzknQ2SpcfSiXTNdFQs9Ax9EFhClfolcbBYgAnI8gKoq4+/2IN7zQ\n5u0UIM8hk2oxgrbeSGPrkvViY1lvvwchbXSxrfcqKqkkJIvXqCc07XmCN4mR4lTr5W18GoR19hYu\nQoCRaaONIDP+HxChcJxmO6QmGWYr86CtmLOkjEE7wIXH3Y4A7E1biUx8aoazbRY5yAl4E14CmINA\ntcBWeT++YIxzs6zDk9J+eJ33QOQiCj718R77/m6712WaKkdSySG2ygMQ4euBiOhyJP20QqqlakS0\n2tg6VSFWYBLa9UkE9MPseU7amIEn/45IDWb//t/Z2peiXbkaqb1yEcfubBJuF2agU+hKH7lWAuwl\nJ+dhWrXKo3PnARQU5HPttVcwYcIE4vE4PXo0j6D+ctqfM8Y///nP/0f9fFHw/y3wQhAE38VcPQEC\npd17KAzDKUhpdz7waRAELivAT8IwfPsv9Pe1b+Xl5YwbM4ZhZWV8MwyZUVbGqiBgZBiSgY9iXYmO\naDY+w8swfND8SYivmo14tOOQgRJkAH3G7g/Rdm/E+/Z3RWC4eeNGWhUWO4/0wQAAIABJREFUUlFe\n3gQrVbEYLVq0YOfOnWzdupXd6IguR+AdIv6sPDMTGho4Ce/+GG9sZM3q1VyAiMMGZMKUT4wIUQmC\nrqUILp6ysRyPLxXiHB6ftHlOQzDQy8bxLFL7OI+A3ujId7HnXWzr5UyWD6DjfTYiQhmI8BTi4wjG\nI8LzNuL25fvSmmHsawoca4V47tGEzCCfFPnEqaGCeuaQIMGZNkqX5Ox5fH5S97sRqR0ciLows9kI\n0CbZmz3UPs9EMogzmGJ/B/acEJGyGsRFO4tHJiJC1fYMmcPl2/8RXkasw6eH6I+425cR19vXVnYY\nHqQH2LM/sc/m2iqX2diiCEQTuBrBsVicZLLCrq2zZ4DP7XOErb6r1pWPDNFOBVOA2I9P7L7vIeK3\nDu3mtP2dwJebdGyGk3TKEIE4HHHrd9h3SbRTYjbfDugkrcEHoO3D+aZlZMT5/vcv4bHHnuajj+bR\nuXMPOnTo8LVN2/y32hcC/zAMy/Bedc0/34ntgDAMHUP3f6ItWrSIwkSCIyxm4VvpNL+LRrknFlMp\nj4YGrkN803q893YXDiw0V494vS4IOMEHwl+EhNVXEFHIQdJAGmkvsxCP9gBQVVPDizk5DK6tZX9W\nFskOHTjllFM4avhwOpeUEEfgfhQSokHHbWl+PlNra2kZhqyvrW1KLNcSAT8IlGNIMjnLnvuqjTGC\njuR+dATftXEe0uwZhQi2LrR7HAHajo6mSxPhiMBqe14tPqNnHeKjKxHvCIIIlzLCqXvq7fMLEIw+\nTwC0JeTzKTh2EpAih5AKZLlYRoR5iJNO4lPBOavIICQLTUUG1s2I/HVF8kwUGSCzkGTQ1mY7AnHK\nrq7aE7ZyWxApKkeyoMu9n8BbP0rRW74P7ZQYkE9jYzUZGZ1obDwa2EE0+iGplCNMPW3cZyBpZC+S\njQ618c5EUgb4jKGr7Lo0Y8eOZe7c5cg3PgvtwH0kk6Vo93xsc34Wn3IiCpQQjWaQSm3FVwJzGUyx\n/509ooe9uYn2Rtfgg9niiPDsQKqqrvhC9jNs3cvQG85EpyMDSUxt8HYJp4V2eXM3Ix71BBobd/Cr\nX92K2JQL2LZtBePHT2br1o3k5jpC/q/Rvp4Oql/hlpeXR1U63VR0rgEgGmXeggU8//zzvH3LLcTT\nijzsgQ/rGYKOfhpt2w+Q98z8Zn1nIzCdi69FOxSfGbMG/0LbYlrPRIKX3nmHB+6/n/z6ei666CJW\nrFhBUF7OcSnpW2/lQN17IdCpY0duu/tuJo0fz8mIE9+GuPUqxNvuR3B0PN7mcBLi2cYjHWAeEvsS\neM/rltZHBeKf++Kzsqy13wnrLxcB/TZ0XAOkhupna7sFwUk/RGCwZz+H4OkRfC1j8HWqokQJ2MxK\nfNGX2fbOVpJNjBwCGmjkBWAPaZJE2EUWr5MkSYpcUvRD4DgbgXYmvvThbBthW6LRGKnUXns7xXZt\nCb522ChE2vYh0hbFFW858Ihm2OdOzz4Rce0uJK8VYVhBY+NI5B/WkWi0hKysXdTU1CGAfAcBXZat\n3uEIYKfjlXEhMty6VMwfEInMpU2b9vZGXHK1o9GuHYx2aiOSB8GrmDoDe7jiiu8wdeoT1NcvxbM5\ny22+lTYnl6BtL7JzHIZA3iWIq0EyXmu0Uxah3RqiHZ9EkoazvfSz5zTiKztj63Am2nkJ5OGUQBJJ\npf12VdQGk0wuYt26dQwZMoR/pXYQ/P/B7cgjj2Tg8OG8sHAhXWprWZeby3fOP5/DDjuM2tpaHrzz\nTsrr6ihE2zoDHZE3EQe7AQmmZ6EtXIy2eRYSeGvtsxy01Z9EPM1IJMA+hTjpZdZvAnjlhReY9+ab\ndE8kuHrWLMaeeKIJ7GrdEVS1QxvinSDg+nPO4dBDDyVMpxmMjs88RJzuQ/ytK53RPPtnNTo6/W1+\nh+Fr6w5A0ojjyvMRfJQhAHc2ghAdwdaI785A/O7zNqf+CLYqEd9aZ991RJz9LHzC4Wxbp6MQ374f\nZ/ZLUkCSFghqNtka7yKTGA1MZiNp4G32N9UR/g4hnWkgBfyRSkrZggD4TVuZyxGYJxBnHQN2kkq5\nmIEy6+ksBFoPoZRzGchwfA/K4vQnJCPtRuTqBJvlXAT2q2xWM230kxH5XWf9v2d9hDQ2xmlsTCJ5\nsb19Nw9JC41IWRfg/eBH2pt9FalfsoCtHH/8OA49tA9B8BphOAKfSNxVnjgFkdweSG11lX0+DWjk\nvvsep6Agm+zsSioqWpFO97fxb8JXGovYnO8HAiKRGN26daOsbCUVFSD1TS2ye7iip1ORHOxiLlzy\nuuZFSZ0N4QNbg3I8uxJHJ8C5nZajHV1r46+hoWE/bdo0L535r9EOFnD/J7REIsFDDz3EhrVrGX7k\nkZxzzjlN/sB33nEHP/nxj4kHAfHMTMqrPHTmIuF/MjoK09FWjNl3PZDA6xwHQTzYtXg/i1vtt6vl\nBJCblcVV9fVNqps/ZmbSo0cP4ps2UdHQQCUCzg344oC7S0spLCykdUEBU6qrLZmAoKcXEuir8b73\nw9BRmQ9NmvEnESEbj6DmTsTjDrdnvWZjz0VH72UEn4/as4YgSMHuvwXp9bsi4zSIgBxv/X1gaxUi\nhcriZv2DeN61zeaYh+C4AEHxFgBinEKSQQhiniZGytIenE6KwdbXS8CKJj1yib25G/DtcVuVP9mI\n40jNsclmuRdZUr6H118/iFQVLyCi0h8BqssSegyyWHRGZHM7smJMsTeRQOFqFfbcS9AOWYjUOi66\n5Gm8y4ErCJpABVVckpBHEXEoB1LE4xH+4z9+xs03/5pUqpVdt83GuBJfYD1lc3BFR/daX8cQBBH6\n9t1GPB5h+fKt+LDAELEJq5E7aTYiDEusPxe+GCAFYUu8O+gIvI1hr62hCyucgE7DLKTackm+91uf\nHZF8rRQbBQXdSCbLmDhxPDNmvE863Y1IZDPXXnsJv/nNL/mqti8rvcPB9hdaPB7nqquu+tznixcv\n5pZf/5qGRIIk0NjYSAaChp3oGByDOOD9+JLe/RE/COKLnkRQ0vhn/btgpwjixyYC78TjFMRiZNk1\nOUBRZib3Pfwwb7z2Grfddhs/wGc9eRqBXn5+PpFIhFenTWPy+PEkkskmQbid/axFENAOaWxd/sR9\nCFR3Ik14FQLbhH32OOK/CpBxuR8SxA9BG3Kg9eV8NoqQgB8i/nk6AuuJ9qzn8H4hjUCXdu1ov3s3\nOQge++K1yo025itsDZcjiWofMY4lxXKSTf08R4wU5+Jy4f+Jh+lKkgZgYzRK5w6d2L59ra2KK0g+\nHB/VW2EzOszezAzruR4BWBSB9hCkeqlFIN0CkfeBeCe6jfjUyN/Al7ZfazPo3azfdUhl49QzQxCR\nCO05Lk5hFFIgOpfQP2e+qhDoHk0iUcFvfnMngwf3Z+nSTWgnXWPPcCkgAnsjm61vJx0EwBDCsI41\na2agcKAIcvrti98Vg/BBVGOQsq43OiGuwlYerVsvJSurE7t3byeRaD7mtPXbFu2u2XiXT1c5eqaN\nrT+ytTxBNBpl48aNrFu3jkcffZJly5Zz2GF9mTJlIqNHj+aYY47hX7EdBP9/cgvDkIceeogH/vAH\n1q5dy2GpFGchgX8COs7vIi69N+JTzkEAtwFt4ZWIgz4Cn0+nEAFkHVI6uJjQdghwjwPWZ2UxdtQo\nli5bxieI91kBJDIyGDJkCEcddRS333470XSaaqQ6KUEQ0KVNG8Iw5JD+/fnhjTdy669+RU8EXxkI\nQN+x53dFIO08mIrxntQumtfl93ceOEsRT1mMjmgbG3PC5uEI2932POfyORPB3bUIJjogjn2+jTsO\nfPfKK7n/tttoU1PDK0gK2W/91CL1U3Mv8DQQJ5N5hIyklndw9Xsz8eqB9qRpxZ3sJkqEVApqt+9H\nwURzEFDNw5dNPBWRlsn4ZB0hSnxxH+Leq5EKZwk+Hd8Ou78IpWwO8SmWX7N+6vHk2jn65tlKlOOj\nXV0unw3oqN9rzxhrb7LGvm+HFGtT7S1sQVx0EhGdLkAPUqlDOProESxbtoIwHIUnLvl41VEUgfn9\nNqatSF7LQFJLhDB0Znjn29YRn47BfbcR7ZY0XnYDyKWiopqyso6k08cgrj0fEb05iFjNQ/Kgs418\nBxEyZ5s52vo6lqys1SxYMJMuXbpw9tkXsGRJNQ0NhxONbmLLlof43ve+x79qO6j2+Se3hx9+mJuu\nu44JtbUkkAbUbfmT7fdypHk9CoHpKnRsXW79cnSUjkBSQQ7ibTYiGMhGcJFCWTKnRqN07deP8ZMm\n8V+/+hVr167l7NNP57MtW+jTsyfPvfIKAwcOBOCbp5zCojfeIEBHcBCyG0xEMOZMc3EENf3RcXbe\n4aecdhoz/vQnvoWO96PoGFcjCKrGJ0triThu0JG+Be/J7iq2JtBxPQ0B9R7Enw3DlzoPUSJhl0vk\nGcTXubyaua1aEcvIYG9JCd3DkEFIDeaijbNsHLmIX10NFBBhBb3pwUZCkpaUIErIZfakCqSTH4PA\n811Ehq6xUdSgcL2JNos5CMSOw8cwL0Mk0yU/O9fecBK5Jl6CAO9FBITuPEywFXjXdkAeshFsRcDu\nEnvn2TjyEdg5X/wdjB9/LPPnL6KmpsJmfhgiNC6FxXrkvePkniIUMliNCNY55OTMpGXLgO3bXSKM\ns+ytv2b3tLU3dJHNYb2tQRTt2gCR4hLEogxFIO3irRsQu5ODJIjz7fe7SEoIkHKwCuWLdXUBnsOr\nsa4hGr2XTp26UFpaSk1NJSLQeXbtY/jo30ays//IihWL+fjjjzn33ItIpa63fiE//ylefvk+xo//\nnEPjV6odVPv8L7YwDCkpKSEjI4NWrVp97rupU6fy8jPPkF9YyMqVKzm+trap5mwVArPmaRPmI0He\neX434v3aQXDQGq9U6IdXDvwIXwilLTJ5hTk5zJk/nxYtxJkddthhrP7ss784l+defplLL76YZ596\nim/iM9TMQ9z4eQion0Dc8yr7Pgn0O+cc9u3eTS9EvFysZrXNJQvvTd3X7nWCuZNgTkNQ5EqKh3bf\nu4g3duoqlwUn236eQDC8B8HIlUizvQKoKS2lAO870gIRJFf0Lx95grtUaucBK0gTUMlW0kTJpg91\ndCLFuzxEitZIkdUG6ZiXIZJcbiuej0iTC8UbaW/pHby6JbBZTUBcdwubIRyYmQmcw+txx41g7txF\nJJNH2OeT8DmA3rOVuwwB/Kf2VqbYM89Dx3suPXv24ogjRpCXl8vrr08jnW5AirShHFhC0iWYi6Ad\n2cG+2ws8TX19wPbtDbZqCUR23ZvMtrFdaN8Ptze6D7E5bWycU20tJgLrCYK7CcNGvPJwPGKHStCu\nquVAqceZ8qvQyWhlzx4DvE8s9iZDhw7jo4/mkU6nGT16HAsXvk4YTrJ3mEQ+YP3JyFjPKadM4f33\nP+CKK75HKpXE2y5C0unGr23Gzv9OO8j5/3+2iooKTp48mU+WLSOZTnPGGWfwyBPSGwL87tZb+f3P\nf87o2loqkKA5Hq+xfB8BbDVysmuHzFHn44PT59mPS6pWirxksoDv4zOh3ImOWisUstMaWJuRwYxZ\nsxgzZsz/17yGDhhA91WrqEA87mp0/J1f/koktWQBbYKA0hYt+GjxYo496iiG7NtHfwTgW5Djn/MC\nKkdqlirrswdStSxGEHOx9b8GqYBcBdhhiO8EEbp3ENz0RTA7CRHIciTU5yL+dBOCQ5fV5U1br76I\n93P1BzbbXL6JIOopApKxTNq268COHd3J4D2yEBQOBD6KRqlOhQhQnV66Cu9TFEMg6RJF19uMuyGy\n2c5m1RmZ5aOI++6PVEarkKPsfLveEYIUMgq7qgd/QPLZduQpFEGgdg8+NbJywwYB5Oe3prExg7q6\nMqTCKkKhcCkb98UIRN+xle6GDLln41PivYVAuDPamRcjgve6vYWB1t9ae2su79E44HVisVySyWNs\nnAuQYTzT5ni3rU02Av0Ykg6ygWV069aVLVuc99B7eCK10NbBxVycBdxNly4d+fDDOdxyy+18+OEC\nevToRiqV5K23/h975x1mVZGt/d8+OXTOQJODBImSQUEQBERQwIQBxYAZs8joDNcwioqKGbMgKqIg\nBhAQCYpIzjmnJnQDHc/pPmHX98eq3bsxzFx1vN84Qz3PeaDP2aF27ap3rXpX+opIRGorBIMB2rZt\ny7BhVzBs2DBq1qxPXl4PZFdVArTE6dxFkyYuVq5c8g9TtP87tFOa//9Ru+v22wmvXs0dFRVEgY8+\n/ZSXX3qJ2zQ3+MKzz3J+KFSpMxUh4A6i0S/3+2nXoQNLFi9mTTRaCSWfI2AbQqZ1Z4R+sfJGWhlR\nLB3SYogdCIFQgEDGmEce+dXAD/D6xImc26MHmabJrtJSHAgEWOC/X9+vCChVignPPUeNGjUIRSLM\nQWAjHVmi72HHL1gVYUsRkN6C0FXFCI1ltTJsrd5yzLOe1arwFcfO998OgcMvEaGRjOwAGnAyn285\n/m1GION0YBtuwgQppIQXietaWop4rJxg0ENu7m4OH5D7ZSA6ckxJdIAAjlX7+HNE3JyJgJ2lva/B\npjtSEQ68me7lNH2uUx+3Hju9wheIeLweu9CkAxH9DRGRZehzrBw3uYhobo+9pwwBOQQCISoq4pSX\nN0RmxwX63rURI3I37ERmVmINy7PoA4SSsSqP1dVvsT12cNbZCO1UgOw06iCCIlP/tg9wEouVYeeY\ndVZ5Qw5EbDfH9mWr0GOaAZxNYeE6RFBM0+NUgMykTEQQHUT2mW8BzTl27AD9+1/I1q1RystbsG7d\nHqpVO8jx44dPCtI6ePAgU6ZM4eWXXyYUKkNW2kBEOP1Ax46NmDXri3974P897ZTm/ytb80aN6LB9\neyUlsxJIuugi3vvoIwBq5+TQ98iRSvC3jKIAmxwOlq9eTYMGDXj++ed56vHHaVVcTDF2kTsXsjQs\nnrw6skGeiOhTNRAYWYdMewsSrHpIR4uLK+meX9NKSkp4aPRoVi5bRo3atfnm668pPHGCXAQS8hCB\nZC33qU4nGAZGPE6KUhxGlmhXZJczCwHjfGQnsBGBh1r6fh/ofrfHziBvIDCahu390xXxOK+BECUL\nEQjpggiWnYg+vUv/P4g4NAYRaPgeG1olV6ObQjqgOEdf6W0E8LIQoN5CYqKPGiUlnI2QD8mIL4rC\nhwCoFTy0FdFGCxFtvxOiydbTT3IQsZy0QQgphYgjExH1KYjv/m6Ee9+O7Gtu0D1eo0c7gojf8xGg\n26jvexwB8Dr6Y+29RiIga0XttkFmVnfd7wKEfrkfG/Bf1X2wdiqvIBp4sv5uIUIDlSJ7UgMRxd8h\nmvtG7MRyFdgBY5cjQP6Vvm8FQmi21+O3jJM9jbpjz5jFBIMuyspK9Fu2jLogO48C7AQpLuy48nLg\nISzuPjHxPd5663FycnLIzc3l0KFDnHlmD+LxGkAJDkcJbncNKiokY1QgMIvvvpv/pwnqOqX5/x+1\nevXrs2fXLmrG45jAfq+XgY0bV/5+yx138Pwjj9A1FKIQ0ZmuRTbpecnJfP3111w2eDDmoUNUC4dZ\nhAC8B7vuUxcERg4hWvRqZAkWI4Jktj6+OrJ8zkGojKeczt8E/JFIhLO7dMHcto1aFRWs2rCBtKws\nUpKS2HPgAM54HD92+ocGQGI8Tg9Eo96s7+9GlqYVJhNDdORZyBL9AAHz4wioXoaw4McQ+MjCLtCe\nhnhErUbIke6IvlsHgaBF+vr36mu3R3xZShHTqeUhdJkex5VYHt4OoCZuXiJGvi5QmK3fkiRpKyn5\nmG242UIUPw5SMfXuIIJQAw30scux/OAF3LfpXg3Wo1EDAfTViHa7V/eiLvKm30OA0US0fstRdhyi\nhe5ABNImROBYFYhPQyINDD1ydfQ18hGiylIVztD3ceq+1kZm0uf6Op8js2ixPt5K3JGqr1sbEeVf\n43CUYJoFiMB6V9/byvC5AbuoqBXj7dL9ta7ZB7G0eJFZe0S/rVoIZaOwa7ZZBu0f8PlclJU11eej\nx/RdZAa5sUtPpiO7oDiiGs1AUmOEqKgo4vLLr8Lvr05FRT5Op5t4vC8ys0xM830SE0vJyPiKxMQk\nxo//6E8D/L+nnQL/X9mef/VVunbowP5wmHLTJLt+fe69//7K3++9/34+mDyZuRs3gt7JvI8uaHLi\nBPfffTdJiFeOExEOVnxoHFlSVjhLdWSqr0UAL4Ys7csRrXY5oiNmoCODf2MU4uLFiynYs4erK6QY\nebNQiKf27GEQkOFwsAIhEqyUz2X6eXIQrbwjdoKnbATQXYigWqmf63R9znwEZnIR6HFh67VVe2/p\ngW4EarchxMH5CDQtwl76IDqfFdhmIObGs7Dz+yQgsJuISTnTOJMIXbE8zPOJVpa7zwFMTM7BQREB\nllUalr/FJE4RkjwafeVMhAN3IwB+XPfCojbCiOjqjF3o8gSiCV+n75mPUDvdEdG/B5k1TuxMoNux\nyTHLp6qafgMrMIxylLLAuReiKkxH9kvbdD8+wo58ramvaWXcLEaEk6X5H9H/LiMpyeCSS4YyZco3\nFBd3RcR4MiKuv0S8mc5HZuGXiEXmcz1qFnl3TPe9nr72jYjnTXtsGGqHqAptsRxz69VrwbFjTuzm\n09e8FplFPyD7RKuOsnWfdYgK8T2RiBR1iUTSkbDBl7DdKRxALWKx9eTn7+K/qZ0C/1/Zateuzabt\n21myRAxBXbp0+UnGv01btnC3zuJ5BDu/zIUIEL6H0BydkeWbgK0jmsgSaojobEeR5XEu4g0+D5m6\n1hJ4G6ifkMA+pfhk8uTf9EzRaBSPYVTGmTqRiZELNDZNtut+v4FAw2597yTsgnlWS8MONLPSS4AA\nfz8E6hbov5MQ3WsrsjNai0BXKkJWuPSzW3pqbz0uX+trZyNQ01736TgQdDgoNk02I2SHU4+ZFQNw\nFlFmIaSMoZ+xDibb2YJom/N07zvi4O9cQVxSYQMFONnAGboXb+mrtsLOu99eP8WbyNvdhwC7lVvU\np5/Q8sXP0N9nIiBdV/eqLiL6ayMaruUyOV4/URCxrjj1yL2DUon678HYXjrb9ciU6ae3Ij3iiEht\nhQghp36G9/RbKdL9iQLFFBc3ZfLkL4lGCxEjb2NkNht6vE4gwuAMYAVu91fUrn0aO3bsRXYhWXpc\nDETAhBABYs32Bti+WSmI4ItSv3492rRpw/Ll72Abhb9FZtlMROi21324FAF0awdRguxorDQWgxDB\nUluPxbeIwCoDVtGkyen8t7VT4P8bWmJiYmU1rB83wzAI+HwUlZaShUxZJ6LTWE5qbbDLNC5CllgF\nMn33IPpZHQT4QwgkrUem6yBken+GCA3T7+fBt96iQ4cO1KplMer/vBUWFjJ37lwMw6Bz585UBIMs\nLCujTjzOMkT/tcKI4ghIN0KgrCbixfS4/m0+AlVuRAezHObO1n1uisDJBARsG+nnvBMhUcqxDcSL\nEPiphUDBIuz8/jP1J4bATyNkOW9AhOdwIMk0eQ6Bk9f02FqxEg5s24qVWzOm/y9PNA+bgJPik1WJ\nVPv/6dglGbdiv92tehQsP68YAlgbkL3PFqCEOnXqsWfPbmTfUR2xDVhpPvIQ8WbVSfPotxDVI/q1\nfnpLG66mR9uqqmVp9icQ8D8H4e5XYKVLMAwfSu1HBIdX38dytSxEhEspAg8tgE2EQgFdMasc0d6t\n0aiPXYAzht8f5/PPv6Bfv/MR68sXyOxN0m/Ih2jr3+vxO4xdqD4GnEVi4gJuvPEannjiCbp06aLf\nx2fYe72rEPvGQWwbils/R5p+P3uQ7KWN9Lhb4X5zEAFwCClVqUhNzeDTTz/hv62dMvj+Ae3VV17h\noXvu4fRQiOM+H1vLy2mP+E4ohK3dgkzZDGSjOhpbEr+NXczuKLJsLHOdpZ+sQ0xi24BINPqL/sjh\ncJgbr7uOGTNmEPT7efzppzm7Rw86tW1LSihEXClOeL3ceuedfL9gAXkHD1JcUoLn2DGalZezFRui\nrDCbLxEW+lZk425lQ7dMfBXYDpAV2HrvRgRSaupnbo0YarsjWvtshM2+RB9fgAgMy2ff8j2xNPlc\nRE/cpq/RBBFYzyFcf7a+ZhC7ZlYEu1aApCBzUEKQGCW0bNGCd959l7ZtOxOP+3DgJZ3D9EQExEKc\nxLgcEUtLkQCu+fquLqAEjyfIffeN4KyzzuL22+9hxw6IxfL0E1rp7Ky8pRV6lELYHjcOZJ+XhQB9\nHAHNA4i27NLHXoXsGBZiJ+X+BJk5PfQMqUAAeL++1iE9ciN1n0uRwDSLmlHIjqQRolHvQcRrd4Rk\n7IrsFDL0/Z3IbN4J1MDtjtOhQz0OHTrMzp2WIDT0qHdG6Cj0fV9EgDxdv9VeQC18vi8ZMaIXPXt2\nZ9CgS4jFHNgV0c7ATsoRxe9PJBzeiwjIODYpGdEzwwrAAykrWYQQp1Y+pRDwLIMGXcDUqR/icPw5\nM8+fMvj+G7Ubb7qJho0a8fXcuWTn5JCfn89Tf/97ZTmKUmQKt0A4cbCD2i2/h+rIkm6GsJlHEX3J\nAn+rjLWBBJb9Urv95ptZNW0a15WXU1xWxo1XX01CUhJNSkrooc+bVVbG82PGEPX5mDFzJh07duSG\na6/lk8mTiSlFLwTqntX3tMpjbEGWmgMYpf+1UmtlY9eXWonoxrUQsD+IQN4yxGZh0UaLsYO6QKDB\nSmBQNQ7CqoBWV/erDgJTi5AdShgtFBEIvBiY43KRHIuRgGz22yF68UZM2lHCSuCB0aN5ZuxY0gJu\nikpLiagEjuFhJhFiDgcx00DALhNxN4zot9YbEYflJCQ4efDBB/F6vSxePJ+hQ69izpydKHW6Pg7E\nJH0vAs4TEAqlGUJwRRCQQ/d8PHbF45p6BFsgJFwcmSkXYQuPftjVEOL6jXyAbTBdgB2nkIDQO+WI\nhWQWApA19dtJQIRQSP+/FVAdw3gTpcbqZ6+J8PdvEI2W88MP+cSd5D5wAAAgAElEQVRiHfRz5CK7\nlZVI/MJZ+q1uRgRIISIU1iIRwYozz+yN2+1m0KCriMUUYh2z6su9qO81h+zsXB599AGuv/5GZBXc\npp9lE2LrKNOfICJcrCC9qmvFC3iYOXMpL7zwEiNH3sZ/U/vN4G8YRhqSDqY2uoqXUqrwF451IorX\nAaXU+T93zH9a69mzJz179qz8u+DoUV5/4w0Udk4aq6yZC/Ff6IAAfrn+bRCywVfIQFtGT6sWcDJw\nwYAB/7DK0MwvvmBweTmJyNLoAKwqLq6MLQWBlaJ4nFZlZfTt0YMLBw+mZ58+rP70U7aUlrIEWT5+\n7CjchgjYDkIYWkuHnYlttowjMHcJVEY4T0eEx05sI7fVUhGCJBdZppbh+McpxyyYW6vvY3kIfa3P\n74rowwuBVJ+PLxwO6jVuzI7163FEoyiE1groY84B1hgGYx95BM/27QyIRNgMrGE/5yJQu940mR/w\ncyIU0Xdfje3PPwXLtHz8eBifz0etWvVwOj3UqpVDMJhGaekg3ctSBKymY+etsVLmVUeA22rl2BG4\nMUQFOE0fY0XjXggEMIzPdM6cdciSPAcBy/f1OS30W5qNgG9j7IQZQ7ETh0cQ7b4VdoK6Y4hLKYAP\nr9dNNKqIx2/HTtuQBhwlFktARHIMu9Si2AJkNiRg1TmQe01FdkMms2fPpGbNmjRt2gxRcw5hF3Kx\nBNUOnE4v69at4IEHHsIwslAqFTvPUBN9zSzEOlYH2TVYNpGqSVbWAjmUlzdjwYLvToH/r2ijgLlK\nqScNw7hf/z3qF44diYjkX++H+B/QZsyYwYz3369MRvYJoo9Z8aJBBEw3IcstgGivOfp8y6FvBwL6\nXpeLmjVqcPHQofztn9TvTElJ4VhBQaV2na+v/R2yLBSyoW+IdpSLx9n+6ads3baNfUoRQeDhRmR5\nH0c20IsRkK+PLKlJCFwcxtYxLVa6aqGYVH0NK+XC+whJUYDsCEyElbWaJdasJMcl2Bk+3ZzsIZSN\nwOP32IkTit1uTm/Rgu+XLCFumpVmzdoIA3468LnPR7eOHVmzbBk3RyLaGdR2tAR5LydCFdgujasR\nsB6GZClqhNA1BcD77Nt3BMhk9+7VQBmGMQul2iCkWQKyR7FsA/uwNfuv9DFZ+i2ZyIw5gIBlH8CH\nx/MC9913B08++RTRaAVKWTPJiWj38xBufju2PcGrz5+Gw2FimlZQWr4+biSSTG4YdpGUCfr3OLLr\nmEVWVjUOHjyEUF7nIW/9MEIxZWLv/7YgFi4rWjkFUXusncQB4EYcjllUrx5gzZo13Hffg/rNHsGO\nXHbo6xQDs8nOzsEwDD7//Ev93PuwtfxtOJ0+EhMrKCryolQDRD3IAp7E729AOLxFn9MQGIjHM4cG\nDWxF7b+l/R7wH4CtDryLzLifgL9hGLnIXvQx4K7fcb8/bft69mxahEKk6b+7I0sqE5nOtRCNFQTA\nTP3dfMRruhC76PnDjz7K6L/85X9972dfeomLBg6kSXk5J5Dl1hHZ1D+ujzkd2RF8re/bJxJh3ObN\n3P+XvzDmr38lASr7noYs4SKsqrF2lpoV2OXIO2B71HyBTJYiBLgTEF23GyI0vtXXciLCJFNfK4oI\nCCtpwtfYJTbqoUOdDIMcpYgjOxGr7LflejqnpITV339PUKnKexSmpJDbvDktlSJWXk6Xbt0Yfv31\ndGjVqjJq2kSE5DScxDApxUBA6Tbdg4PItLeMjn319xaw79JPfCbwLQkJuygpWYO8xasRwYF+8omI\niXqvfhulyK6iJyKm9iHix62PvZpIRLFjx3acTo92YTyK0ERTEEFUrt+2Fav9GQKA35OYmEAwmMDh\nw4Yekbl65C1RK0VMdAJw3cflQBkOh2LfvraIJWc2os1X6FlhiWLLe+lL/RwlCC9vVeLqiPD2m3Ru\nHxcHDjTjgQdexjT3YxeMtyKTA8iM7QLs5siRfKpVq4VpBvV3qxB6LAnDKMbh8FBY2FS/gza6T3G8\nXh8jR17AkiVLWbp0OU7nIRyOj6hWzceDDz7Af1v7zQZfwzBOKNlvYUilkuPW3z86birwd2Rvd88v\n0T7/SQbfH7fHHn2UTx55hAGRCGUIiK1Bln8YAcghyDKdiGjQZyEB+Nv1NRwI7/1lIMCk6dN/0dvo\n59qaNWto164d6bEY1yCb+zzEWTHD4+FoRBIou/V9rEqpTrcbZzRKFDGg1kbgaQoCdTMQ7rwEIQ1y\nEY+lGGIIPoEIk4PYZT5iCLwN0N99Dmx2uQjHYjRAYhjALhnZEqG3juv79NF92IMITI/DQVSXxayN\nwEsP7MypKxCIulT/vgRNmfl8XHnzzTz+5JM4nU6UUgweMIDN33xDo1CITcBe0ojSGhErnRFt9NIq\nI/uY7l0Roi3nIsA1EdtjqFQf68beNVSNdZ6texkDnHi9QZxOJ6HQCcQNwI3QGGE92juwg8nKEVJt\nJULN5Og+dK5ybcvMLukpHA4HgwcPZvr0vcRi1hxaqEemp/5/uX47Pj2iVg7VudiCDj0ek/XzvIPk\nobW8l97G3tf25+TIYSl/2atXbzZs2MihQ6W6j9X1uBUgdFZTZNa8rccyG3nzNyIRybfo8S9EKJ7T\nEMGzDDEgL0Torvp4vWtp3NjB9u3bCIVaAQ683uU89tgYbrnlFny+qtamP1f7rQbff2jeNgxjrmEY\n63/mM6DqcRq1f4LchmH0B44qpVYD/7RzY8aMqfwsWLDg1z3Jv3G77fbbCdesyXt+Py8g0zwBWa4G\nAlbVkaVreYpXIMvaCoFJR5ZP01CIRQsX/vQm/6C1atWKlJQUamMbVC2T352PPEKy18vNyLatM7Jc\nc4B4NMrZCOC+h4Q2fYidgTSGCKcUZEdgmfOCCO/eEPEJcSPw0Qfb03sDsrPZ4HDQu7/kyrF2FyD6\npomw0/sRqLTia5cjBEkTQJkmAxHYOoHYHeYgcFiA0FO5iF7r0v2KAQXl5bz4zDM0bdCAvXv3Eg6H\n+fCTT+h+5ZXMwsFOIIoP2aO00m/E8tsHAVUPtm/+JARsJyHgF0De2ijgHkQTtjI0vYuI9iXYFbau\nx+8P8M03M7UBv5E+5oAe5cv0E/fX166t7z8LO/7bipW2WjUExLsAftLSUtm5cyvFxWXEYtWqHJeL\nXVgmhoDrA4gHkRObrbXipq1mWV+yEcH0FkLTvK1/74bM7Lr6OGsM8oAc5s6FQ4fQb7Y7YkS/AREO\nB/Q1nPoapQjwj8CeHVZ8xSpEwx+i7zkIsTtcDWwjOflLhg5tQ716dQmFOiBG6G5UVJzNrFnz/nTA\nv2DBgpOw8re2f0j7KKV6/dJvhmEcMQwjRyl12DCMasi+88etMzDAMIx+CO4kGYYxUSl11c9d8/c8\nyL9rU0qxbNkyRt5zD8+PG0e3nTtppxQvIUvzKKK3WM2HLJMXsNNexfW/Cjjq91OtenV+bRs+fDjP\nPvkkdRFI+grwuFy43W6aKFUZbtQB4e/8CJAvQ3QuA4G/wYhg+BIqg596YFfuqquvcwChYA4gOusL\nCERdhYD3bMPAFwySbZocnDWrMhPNabp/M5Fln4lA7jF9//0IlAYQemc8tpeQ5SFl+XzM0v8/hu1N\nZSVjuEP/NnffPlqcdhrhWAy3203MdBDlMv0kyxCrhBXwVBchtVz672sQw+21yH5otb66BXBDEICy\nQKoLQgMV6etswg59A9NMYevWrTidPkRMTcQO/bN0J4uq2YmQW379NmP6LXyj31AcIdS6IBRNc44f\nf43WrTsycGA/PToN9LWsaBMrm5E1G9ojAu11RKvfgRhhk4AUHI75mGZI/16AOO9a/TAQFWMnIupz\nkJlVX4/NTdipn8dh74QMxBq1Apv+WYtd0GaCPq8mdvK5A9gZSEFmRwjYTCAQYv58ydPTr98F+jer\nBSkrO8SfrXXv3p3u3btX/v0//8Tu90vt93D+n2Fbu4YhaspJTSk1Gtm7YhhGN4T2+Vng/09sSimu\nufJK5n76qQBTKESaUmxHwHwodoVTC2DXIKDbE9E3VyFLcx/wbjBIZsOGXHvttb+6L2PHjmXLli3M\n+OwzMZZ6PGzduZNly5Zx0O0mFongQnSrZETPStZ96YHQM+0RyAghWn0/hPppiAiNyfp8y4ToQcgA\na5J1RbT9MsBUCn84zNXxOA4EEqboj8W7B/WYxBEBEsZOHQYCc1aezd36UwM77dhKxPfFiZANdZGd\nhAO75MlO06R9RQVdgB/icWZTEzuXaWcEsEBAaqc+u48eEcsHKh/RXL9FyDmfvuN+bHF4XI8SemSb\nIZy0RQsVUVFxmOPHj+NyRbFz92RgF6tsp/twQv92Qt/TqkJ8FDvSQelzLbdRMeAWFuYwceL7GIYD\npZ7S17H4+kxOrgBmOeWaCK3SBtl9LCErK5W0tBps2RJF6B+wU0I01NeaiagHsxChUAu7ML01K6zs\np4sRYWlFZIQRttjKrz9Qn7tKH7tP930WdpWwTCABw/iC5GQPZ5+dxOjRX1fm6Rk+/AoWLryZUEjS\nPQQCCxk+/LcB539C+z2cfxrihFGLKq6ehmFUB15XSp33o+O7AXcrpQb85GL8Z3L+ixcvZsi55zK8\nrAwPor98hkz3Wtj89jQERmojfHiZPq4Tone1R3SnswcMYMrUqf/SNLOmaXLp4MF8N3cu/ooKDsRi\ntED8NOKI/8o+ZGPfAbuwS7lhUN/lYpVpEtcAnoDsBpojpEURdhIEB7L8hXmWTx3sgK7FiGBwIhRR\nOsLNb0SgL6jHZysCVeciBMtd+jcT8UKqjV0h7QgyQS/FKiEuu4M5+rfhiP79EAIj+4E3SUC8XiyP\nkwnY6eNM/fe5iNYJAvTlWAVYBPxANMwKPJ4GGEaMioq92DVro4if/jF9bC3gCE6nC6dTEYm00U+9\nHQH27oiB9AACgD30/6cjQuR87CKX6xGK6IB+0ov0bzN1Py13zi6I4Gim/96M0CTfI8SclSe2P0IH\neZGUEui38AmGYaKUG7HM7EP49X2I4Rn9//f0/6NYZR4NI4bD0ZF4vBlO51ZMczEOh4d43CpJacVO\nHNTPUw3ZXVntWYLBLMrKdiPCaCAyY2fqZ22Iw7EXv99B06ZNePXV8bRpI4bft956m8cfH0c8HueO\nO27mtttuRUyWf972fx7kpZQ6ju1UUfX7PMT/68ffW67X/zXt0KFDZDkceBDd8EtkeSQgesoKhG3N\nQ6Zwd31eEbIclyCb21rIcksMBP5lwH/ixAnO6tSJndu24XC5uOq660hOTmbfvn34PR7Oq12bJx97\njE2xGCmItl+BwMkJQLndnHHjjXT1+/ny6acZEo+zQB/XQt/DyjFpIsLjAEKUhJGJsA2BtxrI7qY1\nAhEW6dAJO4+P5Xx4HNFBpyMCxa+PtRjlLXocFeJl5MWGSEt4hfW1PnC5MGIxDiPwkg04qMBkAiKa\ntmAnV7Pu4kfoHReiqUYQsbUeAZ7bkT2FAsYTix3HNI8jonSqvtMJ7GybCfrJ9xGPryUevwKbAvkI\n2R1kY+fPsRxp6yDi1LI5gPhArUT2W0l6BD/WT90bEalz9Ah01td4m9at27BjR5CSkrf0dZyIOpKB\nAKrldwVCnM0AhqBULuKOug2hdazIWqul6DEbovsRxTDi+HxBsrIOEY3up2HDBtx991SUUng8HhIS\nEli9ejVjxjzB8eMliOqzEXs3UgKEUaqQTp06sXTpBkzzcWzn3yuBOZhmDmVlZ7F8+SG6d+/Fxo1r\nqFmzJsOHX8Pw4ddwqp2K8P1D2xlnnMHuaJT9iPlJvIqlWby2xeD+gEzdBATwLE25AUIwGA4Hvfr1\n4581pRRz5sxh7969tGnThrZt2/7scc0aNkQdO8ZAIC8a5Y1XXiHN4yHb6+WQ08nC77/nvvvuo8eZ\nZ7J7yxZOhEKVcZlDgbxIhPfefpvBl15Kvk5vnYvQNl5k2VuM8yxE6/Yguu7n2MVYPkKgJVmPzzxs\nfv6AHhMrHRrIzsKBaPCH9Rh2wi5uiMvFc/E4hlLU1tc+jMDdEkSndaEFbMwgBYN3UJW5lJoQ5QTH\nyaNA39GH7MM66rvkIUBzNnboWgqyD1H6SSwwTsY0w4jYaaJ7ewjZnwzVx7yPgGktfV7VAp/J+v4f\nIELnhH7aJP00KQgNchp2VYRmyCxaop88htA1VumcSxBKCqzC6LNmzSAzMxO324dp1tD3ukhfcwEy\nO48hQs6K726kr3EOYhsp029lDTJrreRrIG+5GnA5ShmEw1PYu/cAjRvXZ9myH7j88g2YZoipUz+g\na9eudO3alXvvHaXHzKXH+U09RpsABwMH9uHNNycwevRDzJ07H6VMtm49Rjw+GdnhPIDMuGrE4weY\nO3cuw4cP51Sz258zmcWfpNWtW5dxzz/PuwhtUzXCzUphPAzZtLsQ3XEeAnBW5apvEG16xMiRXHHF\nFf/wfkophl91FdcOHsybd97Jud268fJLL/3kuEWLFnHk2DGuRPwqeiD6Y0okwqCSEtoWFXH7iBEE\nAgG+W7qULxYs4K1JkzhmGPRG4M8B1IjFmPT227iQzf0PyPLMRyDjXIRxdiIgnqe/vwDRzgcgFJFL\nP2M2IhSfRVjrSYggCSH6bwyhhwBcwSAxvx9nmza84/WywOWiYZMmvPTaa3gRaL4SoXaaI8z6SkQI\n+HAQJpU4vSikGT7cxICw202Sw0FLTIKGQVJSGk6ngVAi7yMGT3FmdTgseicKHCQ7O4Nq1bJwueYi\nYmQxoiWHEAtONT3aLkQkWuRXSwTgr9Qj8CkCtNsRYC9FwLadHsXnkQiNH5B9oRdJE21FbfTRT+/F\nLgdpJXujyv8PYdXFHTHiVsrLy5kw4WWcznxkB2FBQ0NEqGUhM3Qtsv+yvH52IkIrEZiPx6Nwu6ch\n+7MQQtdUR4SPRz9DByCDLVu2EA4PpaRkBGVlg7noossoLi6msLCQaBRE4/8eEVLVsPO+Rrjvvrvw\n+/08++zTbNiwkvnzZxOPH8KuXWyVUFKEwwVs3ryZU+3kdgr8/6AWDod5cPRoPps6lRYtWuBDwGcz\noo9tQFwmq2O7OEb0J45s0utgFwZ84qmn/ik3uWzZMmZOn86wsjL6hUJcGQpxz113EQqFTjpu3rx5\nP/G7Vdg+KblKcfCAuNotWbKEj6dOZe/evTicTt5AYGkTsD0cJuBycQ1iq7DcVwdiUzDrED11DkIB\nndB/Wy0FgTAHwr/vRaDnHGQnYbrd+BHS4Ck04eJyccu4cSxeupQXJ0xg/datlESjrN20idUrVuBX\nqjIPEPo6qfpTAzFQCSi1J85gwmSSBAwcMIDOI0eSc8UVZNSqR3ExxOPDEffDAKJRTgUCmOZaDONV\nxN9hLhUVYR588D6UWoNYGL5D/OGjiFb8MeLnlI6QeAp5s5uwq25ZVY9f18en688FCJl2k36iRGAI\nXu9usrJK8fsT9Nu7CAHXrQhJ1xoRGhsQtWINIsQsy80BoC8zZqzlnHP6ct1113HHHTfhdm/Q55vY\n8dQ52N5FJfoZpyNafVegDS6Xh08++QjJj+ZE3E9fRWwHa6u8kb36OqnY6adrEY972b17Nz179sU0\nGyJunQ5k1riR3ZILyOCiiy6nagsGg1pQ10A8qiYhAnIaSpXy4ouvsWbNGk41u52iff6AppRiQJ8+\nHFm+nNPC4cokbDWxdC1pFiRPR0JS2ujv3kSm/CAkftKfkFBZIP4ftSNHjpDldFaCeCrgcTo5ceIE\ngYDt4paZmUmqw8GHpkkXRAfcg5j7YsByn4+u3bszZcoUbho+nFahECcMA0MpWmEbemYDK8vLOa77\nnoDoai+5XGS53WwOh9mKQEMmdgH4GYiAKEUIg4sQqms/IggHYRddfzIaxYuYSiMIZZSYnEzr1q3p\n2rEjqqKCuGnSs29fPvvyS3x+PwGorJAWReArFRE04ltjpUieDZQRJcZ2t5v/GTaM888/n1deeYV3\n3/9CvxUrarU7YrW5Cysbk5i3bgQyKCxcw6233olSPRCK6FtgOoZhYBivYZpWVqfuCBC/op8ohNvt\nJxpdiZjK0hFf+TaIqpCCTSNZWT8vxutdQt++vWjRohkHDhzg/fc/prz8TYQqWa6v1bLK7FiKnXPV\nqgjWDyu5yJIl49m0aRPdup3Fpk1bmTdvPE6nG9NUVFTURXYvIKL0OWSmHkaA9iwAYrEkrrrqBioq\n4vpN1kN2OfsRIfEStvBoiF2FQfIClZcfZ8qUqaxZsxyhbWYj1NduZP+2QB8fY9eu4xQUFJCRkcHk\nyZO59trricetLFiX6nc0HxGaNxCLfcucOXNo1aoVp5q0U+D/B7R169ax9PvvuSMWw4ksteeQJWBF\nxlr5ITsiJEFzfa6VuuAoovnHgREjRvyv7tumTRv2x+PsRljllYZBaloaOTk5Jx03ePBgnhk7luKD\nB5mjFFb56jcBp9NJr65defaFF2hx2mlcEApJIT6lKgurW60GolO+hp0guB0QiMX43jQZdOmlfPHh\nh5UZOK0ylaa+VwoCUTX19z0R4fFjqOuNza6XAPszMuhx5pnEI1KNKwn4euZMRt5+OyPvuIM3X3uN\nWEkJT+hrNUbgwwfsqqySPAEBxzoo9tGx29mcf774Ca1Zsx7TTESAxmrH9J2sFAiHdK8s83QrlPoC\nMWXXA87E5wsxduylhMNh/va3F6ioyNFPeC2idUt1gmHDLuGNN6yo4Li+R1SPaggh/+ogIk0Br5Oa\nmsPMmdv49NOFiGaci9N5hHh8EXaUhtWqkZNzhIKCMLHYXcgOYDcW529FmrRu3R6nszpwjKuuuoq/\n/e0vvPvuuzz44PtVrmVgW00SfnQfLydOHEd2CQcRvy0DsQ/U0W/vsH629YhKNAGhu/KBBowdO04X\nwNuj+3mHfr7d+rwQ4MU0IScnlxYtWrJ6tZWlSSp3wf8gM6crVvFRt7uI5OSq9pRT7RTt8y9usViM\nYUOHYsZiJ4XleBH++yv9nQfRfdYjoGQxkuUIs1yGpPPyGwbVqlWNxvzllpuby9Tp05mVmsqjhsGu\n+vX5at68k3YNW7du5YwWLXAUFRF1u/FlZ3Nmt240atOGnIwMqmdm0nfAAILBIGWh0E8oml0Im1qG\nEBtWmcVyRJCdi+iC55smX378MRHDqCxHYiKwYF3TQGDnQz0e7RDom4UwyR/r76tO0nJg/8GDlEUi\ntEKWdwvEufDDiROpV68ey1avZtjNN9Py9NPJycjgeGoqiR4PeUAYpz6rNiKK2wBXM/+bBZSXlwPQ\nqlVzfD4HQht8rj8LsPOQxhEN+rDuEdh5dDrp80pwOHbQsmVLbrnlFgR3UhAh8jQSFVEdSGXSpMmI\nofYL/eQuREiEkbiBQsSN84C+/jkcPlxAJBJBBFAO4CEeb65H4xyEaNuJUEBzOHz4ALHYCQSUWyDC\n60NEsHwAKCKRSwmHLyccvp7Jkz9m//79DB8+nOTkI4jg2Ypo8Gfoeypkh7NZ3+szRH3J02NihS/G\nEUGar9/ylYgwiCL7u+767wJMU6FUur6PQvaiucisCiIqR01gFPH4PaxenY8I4AuQHchlgIeJE9/G\n71+Hw/ENfv90atSIc/nlJ1NF/+3tlOb/L27Lli2jYO9e0hHTXUuE+3YhuslGBEIUojudjmzSP0d0\nRitl8lZEXwr5/eTm5v74Nr/YevXqxZHjx4lGoz+b6vn6q66i1bFjdNDJ0D4qKSE1K4utK1YwoKyM\nOPDYqFGkpaVx4aBBzJ48mXPKyylEWOma2BVsq0bVZmCnjAAdmRyL4fb7yQ6HJQ+P/u0odnZPq2ji\nSH29AQgbvR6BDCsWtRTRixcB7tJSnNhe8qATthUVcVr9+jz7wgs8X8XQHY/Heezhh3ns4Yd1z9zY\nTqIAHkwzxuj77+eZ8eO5/vrrmTXra+bMmQfswOMxKCkxETAbh4gtD0JJvKKffh9iOvfidC5DqXVk\nZuaycOFCGjZsyHffzefii69kzZrDCJidi2i8L1BRYSIaajNgGV6vQUZGdQ4ePIyQgk0QcO2ATb+k\nI3vIPnqkLItJDyQ8MI6oGiX6rSUgQGtp8S7EerMHEWRWLlMAP+XlaWzatImpU6fRokVLFi9egmmm\n6760wqatkhGhZeprWmWHvkFsF8312Fjk515kxgf1GG7R43pUj6uV96gYw3gFp3MisdiZiKDdg4B/\nG2zoaq/vZbVEwCQcLqdJkyaEw0VceOF5jBo1ioSEqjP0VDtVyetf3BYuXMg1AwZwSXExHyNTtj5C\nXXyDAGVD7CwlDmQj+7T+foe+TvNAgOMOB806duTzr776Wc4/Fotx9OhR0tPT8Xq9P/n951puVhaD\n8vMrvba/A7ZkZ3PWkSOVzntrgYL27Tlv0CAefvBB4noX40MgJIws9Zugsk7xawikDsHm9csRHXGD\nPucOfcxGRNgpBKp2AUcMg+pKsUuPiZWn0o/Ay2EEzjpiV/56HdHhqyEw50MonuVOJ8+//jpXX2P7\nc7/11lvcf911FCinvsL3iANqNi7mUZtDpLdsxlJtFFRKsX37dlavXs3QoVdhmgYS5VsX4c93kZSU\nSnHxCf0kZwBNcTqn4XIpKiqiiIeM0BxXXnkNb7/9OgMGDGb27A3E462Rt30UEaGFiCpQRE7OLuLx\nGPn5fRANfRcC/t30E4OQiFOQZBcgO4n9eoRPw447UAjQpiIa9xJkJjYFzsLn+4yMDDhw4Agialsg\nYvU16tatzcGDQSKRFNzuLZjmCRISalNRcYTc3Oo4nS4OH95HUVECYrlJQHYCh/W9N2NXdHYhBtsd\nup9F2OkvpmLndb238p253ZNo374aS5asBAxMswJZJSmI0LOiOdbp+6cgdpnDBIMZlJV1xjAKSUhY\nydq1K6hbty7/ie23BnmdAv9/cQuFQrRo0oTcvDzqxmLMQja7VqB+GaI7HUeWIgiQPo4skfOBmR4P\nY8eNo0GDBvTu3ftny8stX76cAX37Uh4KEQPenjiRIUOG/JLVRtUAACAASURBVNP+9e3Zk+JvvqEX\nou+9CbgzM2mTn19ZbnER8IPDgccwqB2Psx9ZapbBNcHlIi0Wo+om+lHdfw+26+Y9+u8KxHB9E7I8\nKxAfmQGIDrkP+NDtJjsapReiD38E7DMMUpQiE4E+C8YMJEfQxwhkWEFbN+jf8oDP09PJKyigoKCA\nZcuW8dYbb1A0fTo1gE/wUEoMcOMFWhEl4IC0/v35eIZtko/FYlSvXpv8fCtXzA3WL/qNdUJ46Rzs\nBB1WUctbETA8DLyOw5HIG288w8CBA6lb9zSKiyOIlpqjz8lDhAX4fMXEYnFisZYI4P+A0DV7EXoj\niFAsXmQW7UMAtBa2AGigj1WItq8QoTAXO0FbnKSkJLxeH/n5R7ALuVcg9XizCYctjb0Ew1B88MEk\nmjdvzrFjx3j88XEsX76MggKrapjCLvlYhoD7LsRlVSGZXj5FZn9L7NQTuxBBZuW3baCPmYDtaXQh\nojp9qcdX4ikMoxSvF8rLxYXV4TBITEygqOgirCR3LtdXjBnTn7/8ilTof6b2h2T1PNV+fQsEAixa\nsoTs/v35PBgkiPiHdEX0qTiipxxClkg+ortIUDosDwYZNmwYt956K3369PlZ4I9Go5zfpw9nHTvG\nHeEwl4fDXDdsGHv37q08RilFcXHxT0o8nj94MKsRz/CnkGV+ND+fmYj2PgnRDaOmiS8eJx9hxhsh\nemkPoG6zZuS53ZUVYVcYBpkZGZiGwenYwWoWzePVH8t8ugJZvmuR/JafuN2kJidXZjd1osOWnE4u\nuu02thgGWcDdSIKBhnrM8oEchwMXwuBbsz8RKAuHWbFiBY0bNOCuSy9l3hdfsNQwqAF0JkIyJr2o\noD4VrDcUq3w+zunb96TxysvLo6ysXPfKAjews1l2RQTCLkSrHayPy8QmwXIAN6YZZenSFfTqdR5l\nZdUQ2ieIiLV2CBVUDBRQXu4lFuuu/34DAdIC/YSLEENxHNlbPQtM59prh+FyHdGjnoRo8A49mq0R\n4TIXSYN8H2IXMCguriA/vz4Smdwb4eGz6N69BxUVJfrNh4H6KJXAww8/zo4dOzj33POZNeswBQUF\n+llGIf5iCxBBmKrHxcquZCD7zJqIAbdqOsMibK+qDxFq7WX93RWIAX0CsBSHw4NhxJEI5d4odTsu\nVyqLFs3l6quvxOVyUFRkCWJpShn/sNTpf2s7Bf5/QKtevTpTpk+nY6dONEf8+1ciS92FsJYxhO9+\nE9vYm9KlC39/7TVemjDhH14/Ly+PWHl5pcNeNaCGy8XGjRsBWLt2LXVq1CArPZ305GS++uqrynOX\n/vADPmTpexDNuwdWLKRthwAB1FJODhGKAi1atuSd999nst/PWLebzTVr8s2333J6kyZ4ERgsQfTV\nImTJlyP65zgEHqyd0OmA1zDIzM5mk8tVaeJbbxhcfcMNjH/+efr378/p2BDSBKHNXB4PrkaNSKle\nndWIneQI8IXLRUU4TNd27TitqIj9JSV4olHKleIZh4N5CEydjuieyUpRUl6Ne+55gksuuaISKDIy\nMojHy7FpipkIafWe7sUubJ/91xCgtrR9K9nZVv1EcXbu3MamTTuJx62avZdgm8Ev16NrZQttDwzB\nMDzUqJFPZmYAMWjeiOyhLtIj0ptg0McjjzzC5Mlv6fNdnBxLsA0RLob+HYQ3j2BHKycBZ+BwZDBk\nSBemTfsIpcr1uYN1X29l8+bDXHDBEMLh5giwu7ATelQDcnA4fLhcQUTjb4YQnAMQq9Y87HjrzxB3\nzpn63Jv0M1o+Zdcgu5mzsDygTLMGouQWIzPUi8Ph56abbuGddz4jEhmJuJd+BGzBMH7A79/CZZdd\nxql2cjsF/n9gu/Xuu5nrdLIdO9N4BNmkxxBtuCmiO/qA5YsX88IzzxCLxX7pkoD46ZebZmUO7RBw\nOBajVq1aRKNR+p5zDm0PHeKBWIwLSkq4dMgQ8vLEA2P/zp30RJjm9gjwd0b87gsQUFyFbKrPQaDj\nU0RbX4zsTG67806GDBlCUWkph/Pz2b5nD3Xr1sXpcvEd4qWuEGb5JURXbYzAmx+Bi3qIm+cZwKWR\nCDt27iQvO5tn3G6edblIadaMJ8aOBaBj165s9/srE8NtdDrp0KkTC5YuZeX69WzaupXBQ4cyzTB4\nFdgdi5GrFCZipL4Y2THchN4iGwbrgfG4eZ9sDuHGNPdRVhZm6tRPyMiozs03347L5eKFF8Yj4G8F\nG61EtOgjiN1gHwJMXmQnkKNH7zWE3PpYv22TRYvyKC+v4OT0zBYvb2C7Angrfw8GM3nqqb9z9dWX\n43BYGUBBxHIhMIt43EmTJi2oWbMmaWlpyB5zE5Lw+mXdb4sTX67P34OVfM6Oho3h98e45547SU1N\n1X0KI0D6HBBDqZoolYkIuAa6z5agKwfyOffcblSrZsVS9MHOYloHqODll19gx44tjBkzgG7dfHg8\nGdhJ9BbrN2Zgqx1bkBVyM7ITuAxRKV7HMD6mvPwgmzbtQ3Y4XsQzqClu90zq1dtLu3bt+OyzL4jH\nq1aMPtVQSv1bfKQr/3ktORBQI0GN0Z+2oKqBqg1qCKj2oNJBNQY1EFQ9l0s9M27cP73upEmTVHIg\noJonJan0QECNvv9+pZRSu3fvVumBQOX9xoBqkpysZs2apZRS6rIhQ1Qvw1BngOoD6nZQuaBcoPyg\nrgHlAOV2OJTP6VTJhqFOB5XqcKha2dlq+fLlP9ufm264QTVyOtVfQI0GVQtUN1DXg+oEyqc/CaB6\ng2pZpX8jQXlA1fN6VWNQXlC5Xq/q3LatqqioUJFIRJ3Xu7dK8/tVtYQE1fy009TRo0cr752Xl6cS\nvF41FNTfQA3S18vRz1R1LOp5PKpxw4YKXApuVjBGwUgFfgVnKUhSMEL5/Y3ViBE3K6WUcjp9CoYq\nqK6P8+r//1WfP0x/d5aCBP3/oP5/jgKPgvsVPKDAreAMBVcoOF1Bir52UwW19PVzFdygDKOfSk7O\nUIcPH1b79u1TSUnpCtop6KHv4Vdwq+7DZSo1NVP5fCkKzlfQRD+joSCg4BL9r1vfx6V8vnSVkpKl\nAoHqCrqpYLCB6tPnfBWPx1Xz5s0V+BRcpeAmBTUUJCtIVNBbgVNBbQWD9HUbKQiooUOvUkopdeLE\nCX3Mnbp/f1WQoVwuz0nzJhaLqZEj71ZJSekqISFZeb2N9PFtdD8H6DFspb8fo+BBBQ59z0QFdfR4\n1FbwkD6ml/L7U5THc4aCC1Qg0EBdeeXVv34B/wmaxs5fjbmnNP8/uPl9PiJV/i5HtO6hCO3QD9lw\n70I25o1jMdb/L8LQr7jiClauW8fD777L14sX89gTTwCQnp5OOB6v5NfDwNFolOq6AMxDDz/MyoQE\nyhwOFiD5H5siPhb9EWqmZ/fuHDh0COVwcL1SDAFuME1ipaWUlZXx47Z//34mvvkm7eJx3AiF1AHx\n67ASIWcBtRwOnF4vmxMS2GQYrED05vddLuoZBldWVHCp7oeqqODQxo28+uqrzJgxg9vuuotvV6xg\nzpIlrFy/nsxM4YhjsRj9evUioaKCRoi+2ALR/2L6s1/3sxA4GIlwpKBIj3qW/sWK/62ne28QDvfi\n44+nYZomKSmpSAxyd0SrjCJ2AGv5VNPf7USMjGkIZXE5QhfFEH+uOdjFLBfre4WQvVEKotWeSVpa\nlLp1F9GlSwXff7+Q7OxsatasyV133Y4YmHcg2nQ2dpDZaZSXR8nJyUC4/X1IhPJfkYjXabqPTYGu\neDwJTJr0KocP7+Odd55j0KAMBgxoxyWXDCIej7N+/RZkJ1NP36c/MnvTkZ2FiWj/n+rr7gBifPDB\nezRs2JSCggJGjLgB8cn6BrHulBIMpjFlypTKueN0OnnuuacpKipg+fIfcDiOIjuV/gjnPxvZDW1H\nrEYK2XFZyeUaIPvVbvr3V4DX8Hi+x+FIIhLpD7QiFLqIDz/8kOLiYk41aaf8/P/gdud99/HoqFGc\niUzpbfr7qqb5OMLApgJfud30atOG/02rX78+9evXP+m7xMRExj37LKPvuYe6DgcHlOKq4cNp0UJ4\n2SZNmnDXfffx6P/8D27DIBaPV1Z8bQYsdbu59c47AamP60M8zTcCqqyMB0eNYt7ChZWppaPRKK9N\nmECiabIXOw3YLuC408kb8Ti5+vkWBAJM/vBDkpKScLlc/PX++1lx9Ciu48epkZ9fOSbVEWOuIxzm\nnpEjSXY6iTocpFevzpr160+KX1i4cCFHdu/WiX5F2FgeQGXYnu1WXIEJFJ4oxPY5r42Y348jfH0Z\nQjEUEggksGbNGsLhOCIoPsOuqrURMdRmIGkEXAh1EUBItAzEJTQFEQJO7JynuxC3UStvaWfslAvH\nUErx4ovj6PejLK7jxj2HRM1mIVTINMQLqAZwEMMwueOO27jzzlEoFcUuHlMLu7aucP0+n4P+unzm\n2LHPsnKl5PD54IMpXHPNCERAFVW5ewkiMPMQ0HcjgsBKcKeADii1ih07EujV6zx27dpCMOhn/PgX\nNOXSi6KiNIYPv4UdO3Zw7Ngx1q1bT3p6JmVlZQQCCVx88QVMmfImHk8akchxHI5qhEJXI8TjK3r8\n0xEidQZitbKe8VucTi/BYJixY5/m/vvHY680F4ZhnKJ+qrbfsl34Iz78h9I+d44cqZyaSglqOsKn\naZYsTQO5QSVpiqLHmWeqSCTyu++7bt069fe//11lZ2errKws9fjjjyullCosLFRBr1fdDuo+3Z97\nNCXyF1CZwaBauXKlMk1TtWzSRNU1DFVPUzl/AdXY51MPjR6tTNNU9959t3I7ncoBqj6oFFB1QdUE\n5TUM5XW5lM8wlBNUdlqamjdv3k/6uXfvXuVzuVQKqDtAPQiqGagmuk+D9fikgUoFVb9WLbV582Y1\nf/58dfjwYXXbbbep+i6X6qJ/b6XHMccwVILXqzygLgJ1se5bjYwM5Xb5lUFtTZukanokV0Gag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I0RXJRorTWV3i4+tLu3ZdpF69+qJTR7tN+7rOvFmlSpx8/PHHYrNFSr7L6DNiGNGy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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f48bda1ea90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Form clusters based on the numeric Values \n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "kmeans_model = KMeans(n_clusters=2, random_state=100)\n",
    "num_columns = data._get_numeric_data()\n",
    "num_columns = (num_columns) / (num_columns.max())\n",
    "kmeans_model.fit(np.array(num_columns))\n",
    "labels = kmeans_model.labels_\n",
    "\n",
    "pca_2 = PCA(2)\n",
    "plot_columns = pca_2.fit_transform(num_columns)\n",
    "plt.scatter(x=plot_columns[:,0],y=plot_columns[:,1],c=labels)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "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>Customer Lifetime Value</th>\n",
       "      <th>Income</th>\n",
       "      <th>Monthly Premium Auto</th>\n",
       "      <th>Months Since Last Claim</th>\n",
       "      <th>Months Since Policy Inception</th>\n",
       "      <th>Number of Open Complaints</th>\n",
       "      <th>Number of Policies</th>\n",
       "      <th>Total Claim Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Customer Lifetime Value</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.024054</td>\n",
       "      <td>0.394946</td>\n",
       "      <td>0.012683</td>\n",
       "      <td>0.010993</td>\n",
       "      <td>-0.037188</td>\n",
       "      <td>0.024150</td>\n",
       "      <td>0.215543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income</th>\n",
       "      <td>0.024054</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.014615</td>\n",
       "      <td>-0.028518</td>\n",
       "      <td>-0.000590</td>\n",
       "      <td>0.006492</td>\n",
       "      <td>-0.010171</td>\n",
       "      <td>-0.352482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monthly Premium Auto</th>\n",
       "      <td>0.394946</td>\n",
       "      <td>-0.014615</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.004063</td>\n",
       "      <td>0.024774</td>\n",
       "      <td>-0.012797</td>\n",
       "      <td>-0.009122</td>\n",
       "      <td>0.629232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Months Since Last Claim</th>\n",
       "      <td>0.012683</td>\n",
       "      <td>-0.028518</td>\n",
       "      <td>0.004063</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.039767</td>\n",
       "      <td>0.005135</td>\n",
       "      <td>0.010071</td>\n",
       "      <td>0.008685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Months Since Policy Inception</th>\n",
       "      <td>0.010993</td>\n",
       "      <td>-0.000590</td>\n",
       "      <td>0.024774</td>\n",
       "      <td>-0.039767</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.001066</td>\n",
       "      <td>-0.016192</td>\n",
       "      <td>0.008024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Number of Open Complaints</th>\n",
       "      <td>-0.037188</td>\n",
       "      <td>0.006492</td>\n",
       "      <td>-0.012797</td>\n",
       "      <td>0.005135</td>\n",
       "      <td>0.001066</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.000275</td>\n",
       "      <td>-0.017069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Number of Policies</th>\n",
       "      <td>0.024150</td>\n",
       "      <td>-0.010171</td>\n",
       "      <td>-0.009122</td>\n",
       "      <td>0.010071</td>\n",
       "      <td>-0.016192</td>\n",
       "      <td>-0.000275</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.004794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Claim Amount</th>\n",
       "      <td>0.215543</td>\n",
       "      <td>-0.352482</td>\n",
       "      <td>0.629232</td>\n",
       "      <td>0.008685</td>\n",
       "      <td>0.008024</td>\n",
       "      <td>-0.017069</td>\n",
       "      <td>-0.004794</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Customer Lifetime Value    Income  \\\n",
       "Customer Lifetime Value                       1.000000  0.024054   \n",
       "Income                                        0.024054  1.000000   \n",
       "Monthly Premium Auto                          0.394946 -0.014615   \n",
       "Months Since Last Claim                       0.012683 -0.028518   \n",
       "Months Since Policy Inception                 0.010993 -0.000590   \n",
       "Number of Open Complaints                    -0.037188  0.006492   \n",
       "Number of Policies                            0.024150 -0.010171   \n",
       "Total Claim Amount                            0.215543 -0.352482   \n",
       "\n",
       "                               Monthly Premium Auto  Months Since Last Claim  \\\n",
       "Customer Lifetime Value                    0.394946                 0.012683   \n",
       "Income                                    -0.014615                -0.028518   \n",
       "Monthly Premium Auto                       1.000000                 0.004063   \n",
       "Months Since Last Claim                    0.004063                 1.000000   \n",
       "Months Since Policy Inception              0.024774                -0.039767   \n",
       "Number of Open Complaints                 -0.012797                 0.005135   \n",
       "Number of Policies                        -0.009122                 0.010071   \n",
       "Total Claim Amount                         0.629232                 0.008685   \n",
       "\n",
       "                               Months Since Policy Inception  \\\n",
       "Customer Lifetime Value                             0.010993   \n",
       "Income                                             -0.000590   \n",
       "Monthly Premium Auto                                0.024774   \n",
       "Months Since Last Claim                            -0.039767   \n",
       "Months Since Policy Inception                       1.000000   \n",
       "Number of Open Complaints                           0.001066   \n",
       "Number of Policies                                 -0.016192   \n",
       "Total Claim Amount                                  0.008024   \n",
       "\n",
       "                               Number of Open Complaints  Number of Policies  \\\n",
       "Customer Lifetime Value                        -0.037188            0.024150   \n",
       "Income                                          0.006492           -0.010171   \n",
       "Monthly Premium Auto                           -0.012797           -0.009122   \n",
       "Months Since Last Claim                         0.005135            0.010071   \n",
       "Months Since Policy Inception                   0.001066           -0.016192   \n",
       "Number of Open Complaints                       1.000000           -0.000275   \n",
       "Number of Policies                             -0.000275            1.000000   \n",
       "Total Claim Amount                             -0.017069           -0.004794   \n",
       "\n",
       "                               Total Claim Amount  \n",
       "Customer Lifetime Value                  0.215543  \n",
       "Income                                  -0.352482  \n",
       "Monthly Premium Auto                     0.629232  \n",
       "Months Since Last Claim                  0.008685  \n",
       "Months Since Policy Inception            0.008024  \n",
       "Number of Open Complaints               -0.017069  \n",
       "Number of Policies                      -0.004794  \n",
       "Total Claim Amount                       1.000000  "
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Correlation Matrix\n",
    "num_columns.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('veryLow_income', (0, 19996.200000000001)),\n",
      " ('low_income', (19996.200000000001, 39992.400000000001)),\n",
      " ('medium_income', (39992.400000000001, 59988.600000000006)),\n",
      " ('high_income', (59988.600000000006, 79984.800000000003)),\n",
      " ('veryHigh_income', (79984.800000000003, 99981))]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f48cfce2b50>"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9YFvgOhpL6IfA7qTH6c4E9hlQTkwHEBBTvBZPs3/6MtaWxYsXD72MCMeiy/RxcCwmMRar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\nSt4YY8YYV/LGGDPGuJI3xpgx5v8DK2yL0DqkrGcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f48cfccc050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Income category and response\n",
    "income = data['Income']\n",
    "income.fillna(income.mean())\n",
    "min_income = min(income)\n",
    "max_income = max(income)\n",
    "bins = list(np.linspace(min_income,max_income,num=6,endpoint=True))\n",
    "bins[0]=min_income\n",
    "bins[5]=max_income\n",
    "group_names = ['veryLow_income','low_income','medium_income','high_income','veryHigh_income']\n",
    "pprint(zip(group_names,zip(bins,bins[1:])))\n",
    "categories = pd.cut(income, bins, labels=group_names,include_lowest=True)\n",
    "data['IncomeCategories'] = categories\n",
    "data.groupby(['IncomeCategories','Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('low_lifeValue', (1898.0076750000001, 29040.465513333333)),\n",
      " ('medium_lifeValue', (29040.465513333333, 56182.923351666665)),\n",
      " ('high_lifeValue', (56182.923351666665, 83325.38119))]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f48d40554d0>"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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srVwZEY068VKnftoV7QXXRHeui/6sCw/y0iLgcxHx27pjyUm/7Ir2gmtibK6L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\n3sxsgHmQNzMbYB7kzcwGmAd5M7MB9v8BeF9J3xF2XzgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f48d423a8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Lifetime value and Response\n",
    "customer_value = data['Customer Lifetime Value']\n",
    "customer_value.fillna(customer_value.mean())\n",
    "min_customer_value = min(customer_value)\n",
    "max_customer_value = max(customer_value)\n",
    "bins = list(np.linspace(min_customer_value,max_customer_value,num=4,endpoint=True))\n",
    "bins[0]=min_customer_value\n",
    "bins[3]=max_customer_value\n",
    "group_names = ['low_lifeValue','medium_lifeValue','high_lifeValue']\n",
    "pprint(zip(group_names,zip(bins,bins[1:])))\n",
    "categories = pd.cut(customer_value, bins, labels=group_names,include_lowest=True)\n",
    "data['Customer Lifetime Value Categoreis'] = categories\n",
    "data.groupby(['Customer Lifetime Value Categoreis','Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('low_premiumValue', (61, 140.0)),\n",
      " ('medium_premiumValue', (140.0, 219.0)),\n",
      " ('high_premiumValue', (219.0, 298))]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f48b27bf190>"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AiLhe0q8Ad1P1BP8I2An4aESs7zTAEcupfq5df2sH6devmD35JklbAU8DlgLb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\nM7OMeZA3M8vY/wPQzWuoUJxgdQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f48b271e890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Monthly Premium Auto and Response\n",
    "monthly_premium_value = data['Monthly Premium Auto']\n",
    "monthly_premium_value.fillna(monthly_premium_value.mean())\n",
    "min_monthly_premium_value = min(monthly_premium_value)\n",
    "max_monthly_premium_value = max(monthly_premium_value)\n",
    "bins = list(np.linspace(min_monthly_premium_value,max_monthly_premium_value,num=4,endpoint=True))\n",
    "bins[0]=min_monthly_premium_value\n",
    "bins[3]=max_monthly_premium_value\n",
    "group_names = ['low_premiumValue','medium_premiumValue','high_premiumValue']\n",
    "pprint(zip(group_names,zip(bins,bins[1:])))\n",
    "categories = pd.cut(monthly_premium_value, bins, labels=group_names,include_lowest=True)\n",
    "data['Monthly Premium Auto Categoreis'] = categories\n",
    "data.groupby(['Monthly Premium Auto Categoreis','Response']).size().plot(kind='bar',grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                       Total Claim Amount\n",
      "Education            EmploymentStatus                    \n",
      "Bachelor             Disabled                  463.150681\n",
      "                     Employed                  355.674091\n",
      "                     Medical Leave             499.282688\n",
      "                     Retired                   511.855842\n",
      "                     Unemployed                574.274938\n",
      "College              Disabled                  442.949408\n",
      "                     Employed                  351.556068\n",
      "                     Medical Leave             481.256749\n",
      "                     Retired                   469.031916\n",
      "                     Unemployed                571.875795\n",
      "Doctor               Disabled                  322.289065\n",
      "                     Employed                  317.293937\n",
      "                     Medical Leave             440.415101\n",
      "                     Retired                   297.600000\n",
      "                     Unemployed                428.172560\n",
      "High School or Below Disabled                  510.730131\n",
      "                     Employed                  394.034371\n",
      "                     Medical Leave             471.907331\n",
      "                     Retired                   526.501267\n",
      "                     Unemployed                656.555952\n",
      "Master               Disabled                  507.188572\n",
      "                     Employed                  307.352624\n",
      "                     Medical Leave             346.191164\n",
      "                     Retired                   414.664764\n",
      "                     Unemployed                476.634629\n"
     ]
    }
   ],
   "source": [
    "# Who claims how much Money based on customer education and Employment\n",
    "claims = data.pivot_table(values=['Total Claim Amount'], index=['Education','EmploymentStatus'], \n",
    "                     aggfunc=np.mean)\n",
    "print claims"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                          Total Claim Amount\n",
      "State      Location Code                    \n",
      "Arizona    Rural                  111.641754\n",
      "           Suburban               546.020651\n",
      "           Urban                  326.744826\n",
      "California Rural                  108.764409\n",
      "           Suburban               564.780229\n",
      "           Urban                  334.774506\n",
      "Nevada     Rural                  110.311190\n",
      "           Suburban               573.989820\n",
      "           Urban                  339.475386\n",
      "Oregon     Rural                  107.837276\n",
      "           Suburban               563.760363\n",
      "           Urban                  325.090035\n",
      "Washington Rural                  116.486978\n",
      "           Suburban               557.417823\n",
      "           Urban                  338.193853\n"
     ]
    }
   ],
   "source": [
    "# Who claims how much Money based on customer Location\n",
    "claims = data.pivot_table(values=['Total Claim Amount'], index=['State','Location Code'], \n",
    "                     aggfunc=np.mean)\n",
    "print claims"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                        Total Claim Amount\n",
      "Gender Marital Status IncomeCategories                    \n",
      "F      Divorced       veryLow_income            497.601853\n",
      "                      low_income                409.277297\n",
      "                      medium_income             399.434405\n",
      "                      high_income               280.855948\n",
      "                      veryHigh_income           268.890043\n",
      "       Married        veryLow_income            458.992041\n",
      "                      low_income                391.280905\n",
      "                      medium_income             331.917031\n",
      "                      high_income               323.678403\n",
      "                      veryHigh_income           306.864825\n",
      "       Single         veryLow_income            639.196360\n",
      "                      low_income                419.607517\n",
      "                      medium_income             406.764483\n",
      "                      high_income               297.622271\n",
      "                      veryHigh_income           324.726122\n",
      "M      Divorced       veryLow_income            480.399868\n",
      "                      low_income                428.579879\n",
      "                      medium_income             471.189287\n",
      "                      high_income               320.245058\n",
      "                      veryHigh_income           245.350677\n",
      "       Married        veryLow_income            493.765873\n",
      "                      low_income                445.304232\n",
      "                      medium_income             395.980649\n",
      "                      high_income               314.297018\n",
      "                      veryHigh_income           307.671873\n",
      "       Single         veryLow_income            705.392383\n",
      "                      low_income                444.985721\n",
      "                      medium_income             446.163386\n",
      "                      high_income               326.726755\n",
      "                      veryHigh_income           297.339131\n"
     ]
    }
   ],
   "source": [
    "# Who claims how much Money based on customer Marital Status, Gender and Income\n",
    "claims = data.pivot_table(values=['Total Claim Amount'], index=['Gender','Marital Status','IncomeCategories'], \n",
    "                     aggfunc=np.mean)\n",
    "print claims"
   ]
  }
 ],
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