gokul-uf/cleaned_lightcurve.ipynb

## cleaned_lightcurve.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "# import scipy\n",
    "# import scipy.linalg\n",
    "import matplotlib.pyplot as plt\n",
    "import astropy\n",
    "import aplpy\n",
    "import pyregion\n",
    "import pyparsing\n",
    "import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/gokul/gsoc/mcgill/FITS\n"
     ]
    }
   ],
   "source": [
    "cd FITS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "SPITZER_I2_46469632_0001_0000_2_bcd.fits\r\n",
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     ]
    }
   ],
   "source": [
    "ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def max_index(augmented_image): #Used to get the indices of the pixel with the greatest intensity, Not used yet\n",
    "    return np.where(augmented_image==np.nanmax(augmented_image, axis = 0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def index_with_max_intensity_averaged(image):     #takes the first 5 images of the FITS file, \n",
    "    working_image = image[:5]                     #averages to remove noise and finds the index with max intensity\n",
    "    avg_image = np.nanmean(working_image, axis=0) \n",
    "    return max_index(avg_image)                   # returns index of pixel with highest mean intensity\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def max_summed_pixel_intensity(filename):\n",
    "    hdus = astropy.io.fits.open(filename) #Opens the FITS datacube\n",
    "    images = hdus[0].data                 #Accesses the data HDU, a (64,32,32) array\n",
    "    augmented_image = images.sum(axis=0)  #summing over the first axis to get a 32x32 pixel image\n",
    "    return np.nanmax(augmented_image)     #return the max observed intensity, ignoring NaNs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc148ebf150>]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DcBDAR2N+rOkPV199Ja68kn62b98e/AGxleMLLgB27iynJ5wvOXYJvLJ6HAPl\ntXKS8ad/SoVvfvjD1nxjQG+Jv+eecm0rsnKcx1qdhxwfPtzY0QSKzzkuwsoulONTTqHAT6ieoeTY\nZqs2KfvqBk1ZyrFKjoVlevlyeysnIA45Nm2mjI0B730v8KEPkboRixwL4rpgAfCiF8W3VsfKORbn\n7yc/aX7cpRiXgAs5jqEcb98OvOlN+d5jxw7gvPPcybE4x2vXVk+Ov/OdhpX6rW+loo4hxY0EOV67\ntrkoV5atWqhCk5PN9+zoKM0pYl4JVeNEMS6AyHEsF10WRkbKa/NmgmjjJBBLOV6ypHzleMkSSuc7\nflxPjjds8Bu3r3893XvbtwPf/Kb93s1636kpOh8iNi7SVj062p7kOK+t+swzk3Jswvbt25/gd1de\neWXu93No6JMLzwZwKWPsEgDzASxmjH2Bc/5a6TmfBvCt6X/vA7BR+tuG6cdMj8uv2c8Y6wSwhHOu\nXT6e8pQrEeGcNZHjvMrx0aMU0Pf0UFC/cWP2a/KgCHLsohyXYatW21PNm0d2zne+E/jN33RTjh98\nsNjjVCErx0CjKJdLsR4Z4phD+lfK+cZAsTnHq1YVEwjv30/pCd3djQq/mzbFtVUvWEAKjimNQLVV\nF60cc64nx8K+ZbvnbMqxCJCy7vssW/X115PN/XnPo//HIMdyIScAeO5zST1+85vzva/6GTFyjoeG\naOypyrGrpRooryDXgQP51cQdO4A//mPg1luzn1sn5fi00+jevvde4Lbb6N/vfjfwrGf5v6dNOX7O\nc+hampTjuXMbbcOENVW2VAP5lGMxn61bV55yPDpaD3I8U5RjoLGBblKOfcjx44+TWrx1K41REzke\nGADOOkufEy/Q309zUWcn/X/ZsnhuTRXtqhyvXJlfOW43O3lZ2LZtG7ZJts+rQvJiJBSqHHPO38M5\nP5lzfhqAVwO4hXP+2ukcYoGXAxB1hW8A8OrpCtSbAJwB4A7O+UEAfYyxZ04X6HotgP+SXvO66X9f\nDuAW0/EUYavOqxwfO0YL3pYt5eQd9/fTAuwKV3KcZREs21Yt8OpX047m5z/fqhzrco4feqhcciwr\nx0A1yrGcbww0rlWMfsRl26qBZmu1CzmemAB+9KPmx3TkGLBbElVyvGIFLYghGxYumJwkRXbNmmaF\nWmxW2e65sTF6bZG26j17gPPPb/w/tq0aoM2kmO1LJiZo3MtzSR5b9W/8BpEu+fWulaoBGtPHjumv\nRUxb9ehqyLvkAAAgAElEQVRovnlvaooqVZ97bvvZqgFSj7/wBcqP/bd/o/v88cf951NZOfaxVY+N\n0X20cGEzAVHJcahyXJWtOu+4MmHXLvf1SVSrFoiZczwwEGedlN83C4IAxyDHJ040bNC2FLqBAdq0\nsTloZEs1UKxyPDZWTEvIIhGjlVNSjstDVX2OPzTdlukeABcD+HMA4Jw/AODLAB4A8D8A3sr5E1PP\nnwD4LICHAewUFa6nH1vJGNsJ4O0A/sr0obHIsU45Dp0gRSB75pnl5B3PJls1QATgwx+mY9SRY3Vj\nw0aOOQde+cp4iyHQqhxXQY5V5bijI//uuoBakKuoatXCVg00F+Xq7SVCLqBbsH/yE1I35aBCJfUC\ntrxjlRx3dtLnFVX0TWysqBsOYsPNdg2FjdNGjrPue9EP2KRQDw83ciWB+LZqIF+Fdx0E4WdSck4e\ncrx6NbB5M6VrCPjYqjs66Dvq8sz6+uIpx6IXbCh27aIxt3Zte7Vyksnx1VcDf/iHdG3mzKFrl9Wp\nQYWsHJts1SZyLJTjLHIcQjhkW3VPD22slaG8FWGrFkVM5W4UNhSlHM+ZQ2t3jHx/zhsbJFkQc96e\nPflzjuVYdsEC870rHrfN3zpyXFRBrtlsq045x+WgNHLMOf8B5/zS6X+/lnP+FM750zjnl3HOD0nP\n+wDn/AzO+Vmc85ukx+/inJ/DOd/MOX+b9Pgo5/xV049fOF3lWosilOP58ykIDg1OBDnesqWe5Lhd\nC3LJeO5zgX//91a1Rs055pxs1TZC8bWvuQV/roipHM+bF7boqwQSiLOZMTTUqAgrUIZyrJLjLOV4\nxw669iLYmpig58ivE7CpLroNmiKt1WJjRf2Mo0ezC3+Mj1NQZLJVd3b65Rzrxooa2Bdhq964sVGg\nJgZUSzVA/w/JORbf/6KLGtbq0VEam2ed5f4+Jmu1aKFXB+V4xw7gSU+i9SK0WnXMTUcXyMewbRsV\njZPTrnxVOMCtWrWplVN3t54cL1zY+H+MglyMlaceF2Gr/uIXgWc/G/iHf6DiaVkoqlo1EC/vWIwb\nWztMATHn7d3bmobnk3PMOZFjEQ92ddk7GAD2YqFypWqg+IJc4+PVW/Z94NLn+PHHzbWHxsbo+g4O\n2u3tCXFQlXJcCfr74wwqebcNCG8JNDVF77V0Ke0IlWGrHhiYPTnHMl7/+tagV0zeYjI6cIAWCBuh\nAOLuWKq7xXnI8aJFYeRYkCkZMfKORcVnWYUrgiwOD9OCIcbgaacRmZicbFSIFOjpoXtA7gW5Ywfw\nJ38CfO5ztPj39tJrdOMpSzlWX1NkUS4RUIUqxyZyLIp5ueQcz59vHitFKccyOe7paRSoiQEdOQ69\nF4aHaf688MIGOX7wQRqfLvZJARM5jlmQK69yvGMH8OQnu22mAs3XccECGqtl2yTVY/jyl5vX9Tzk\nWLZVj4/TPblqlZtyLF/LWLZqWTkG2pcccw585jPA+94HfOITwO/9Xvb5KEo5BuLlHbtaqgGKEWLY\nqgcHaa4TaxZj5vtXrAW+ynGRBbmA9lKPXWzVl18O3H67/m9ijjj11GStLgOzihzbipv4QFVfdVWP\nXdDXR4thZ2d9leN2yTk22apt6Oqi8y92Qx96iNSPyclm8iQgjj9mEGcqyOWL0VEKkkMWfUGmZMQg\nxzprchHk+OBBUmUECRc5x8ePU7ArE9aODnpMXuQfeAC45BLghS+kwEvXxknAVmNAtVUDxSvHOnIs\nNjvERo9OkRPkWHeNR0bo9TaSw3lDxTUt9kUpxyp5jWmtjkmORQueCy9sVKz2KcYlYFOOY9mqYynH\n3d00d2bl2atkoGxr9dQUHadtzcirHAtb9aFDdI92dtpbObnkHMcoyAX4k+P3vIc2D3wR21Z9++30\nnhdfDPzu7wKXXUYb3zbXQTsoxz7keONG4JFHaBwIN4DAunV0rV3qXKgiD2B2frgqx2XmHAPtlXfs\nohzbBDwhpMTiMQl2zCpyLNst80CnHIeQY1lx3bSJFivfheTQISo2dfnltIBlYabmHNts1TbI1+7B\nB8nu2N2tJ5liQoutHMsBmmrHc0Ue5fjYsVblOMZmho4cL1pEQWnMvqxyvjHQuM/VoEhAXbRFYP/O\nd1Llzj179MW4AApgbO2R1GC7DOVY/Qwxr3R20oaBbqNnfNycczw8nK0cT0zQRsOcOeXnHKtBpLAZ\nxkBscrxgAW189vfTfR2THAulZv58Ou48rQBjKMdPepJdfZJRNTkWZFR2tajIQ45XrKBrPjraXHfB\nNK/65BznLcgFZPdsV7FvH11jX8QuyPWZzwBvfGPjuv3jP9J3+5d/Mb9GbeU0E5Tju++mMSUqQwt0\nddGaJ+e7myAX4xLIUo5t5FjUQBDo6aF7QLf+5EURsVjRcMk5Nm0mic4UXV2JHJeFRI4DoJLj0HZO\nMinp6iLV8Fe/cn/9H/wB2bH/+79psTPZMWSEkOMYOcdl2Kp9lWOgWfV/6CE3clykctzV1ei36YOx\nsbjkOIZyrBbjAiioid3rWM43BigIHB6mez2LHB85QgvS+vVUaXfzZgq0TOTYtmlgyjmuylYtjlcd\nE5OTRKQWLrTbqm33vUwiy8w5VgtyAQ2bYQwUkXPMGPWyv/12Ksbl26btlFP05F+Q444OOsY8tRDy\n2F8nJ2nuPPts+r8rOZbP85o1bgF9LLiQkTzkuKOD5qGDB5vnwSzlOMtWvWQJPeZTAZ/z/LbqsTG/\nQk8CMW3V/f1U8+N1r2s81t0NvOtdwC2GHiVDQ425TsCWOuUCeexWoRyvX0/XX7VUC7iOW5NyrLt3\nQwpy6VxasdButmrOG8q6LYYwbVKKeYUxIsepKFfxSOQ4ACrBjKEcA37tnEZHgW98gxa4r34VeNWr\n3AK4kIJc7WCrjqEcP/RQo1euaXcfKFY5BsJ2toVyHNI2qChybKr4HLtitaocM0b3+p13ZpPjHTso\nqBdKxDvfCdx0k5kcmwIrsbOryzkuylYtxs7y5RToiDEj55DrxrLYkDGRvljkWFWO58+n8ZlnXKkF\nuYDibdVig8FXmZWJjcg7DlGOdcGuKKYjgtG8RbnyKMe//jWNc9Ei0OVY6qAcZ5ERn+JGArJ7RFir\n5c27vNWqOzromvsQjhMnaAzL92JZ5Dimrfr666lwmrqm2PqQizZOskPAtPntiqKUY5dK1QB99po1\ndnLscq36+vzJsU9BLqC4olztphwPDzdcVjYXpel+kWvTpJzjcpDIcQBiKccqOfZp5/Tww3STiB1R\nV3Ujtq16YoLeU7XnqCijlVMMW/XWrWYCVIZyDNDn+5LcPDnHRRXkMpHj2Hm4ap9mgHZX77jDnRwL\nvPjF9H9f5Vj0HFarjRZtq+7ups9cvrwxB8nzim6jRZBq05zhYquWSaRrzjFjFDzZAqws6EhN0eSY\nsbDNPXlz4MILgRtvpLnylFP83mftWhqv8jkeGGguppM37ziP/VVYqgVclGN1kyMPOb76an9l31U5\n9iWEKjk+cMDNVu2acwz4W6tVSzVQvnIcoxL5pz8NvOlNrY/b7k3d2hZDOa4y5xigOa8I5djkFHS1\nVatxYFF5x+2WcyxvHGTZqk2xp4gTk626HCRyHIBYyrGq2Pkox2pAUhU5FlaRrBYEdSzIBTQqjff3\n0/U4+eRqc44BCnhDleNYBblcrtdjjwHnn2/+e1nkWLVVA3Svu5Jj+T7q6ACuuw74/d/Xf5bpvOjy\njYFyCnKpn6Paqn2U44kJUkiXLPFTjl1yjoH81mqdrTrE/mqCjhwDYZtFMrG54AIaa+ecY89z1aGj\ng8a3TE5UlWbhwuqUY/UecknF8VGOp6aoOrEOnNPffCsvu5CRNWtaNyWyIN+TomK17GzxVY4HB1vJ\nsa8ap1qqAX9yPD4erhyL1+fBL35B5/JFL2r9m41s6OaLuirHPuR440YzOT7zTMpJzoJPznGIrRoo\njhyPjtL81y7KsTxfZ9mqs5RjQY7Lbn032zCryLHw6ucpXAIUpxz7VKy+//7mgGTu3GrIsUu+sTi+\nOtqqRc7xL39J57+jI9tWXYZyXBY5Fv0C5ZwswI0M9Pbai4fpco6BYpRj9XNOO40+I4scP/BA830E\nAE97Wmv/SAFTYGUix2UU5BKfI86prJboVBKx0OrIsQgms+77kJxjID85rsJWDYTlHcvfv6eH6hn4\nWqoF1O+oBqILFtRLOfa1Va9daybHg4PA+9+vr+La10ef5Ztv7UJGOjtpXvFVWHW26lg5x0Ac5fik\nk2hecq1tMTZG657v2ie+a961/8YbKXVMLUAF2F1puuvsqhzffLM+VqyDcvze91IbKx0uvZTOV9b6\n7ZtzvGqVv606tIBcFsbGaG2vihzv3Am87GXuz5fPjYjv1LElOkBkkeNlyyhOLaoSeAJhVpHjBQto\ngPpUadShqJxjn17Hoq+kgEvwNjVFi61KhGzIssi55BsD9VaOe3sblmqgvXOOfV937BjdE6qa5UKO\nBwftAblNOS6yIBdA5Bgwk2OxYKuBfRZMY8M0/sooyKV+TlZBLpkcq9d4eJgez7rvQ3KOgTjKsRpE\nrl9PYyBGVdSilGMA+K3fAi66KOy4VHVcJcd5bdVCOQ5RI0Js1T7KsbjfdCRVPOarmruSEV9Xgk45\nVsmxrVq1q606r3Lc1UXv42plt10DG8Q9kzdFZ98+SiPTwRZbyKRCfn7WOjk5SSRTt+lWB+X46U9v\nXfME1q2j+/F737O/hynnWHcvDQ3RGK6TciwqwleB++/3q94uk2ORpqOOQeHayrJVA8laXQZmFTkG\n4lirY7VyUu2sa9fSTe+y0xZiqx4YoIU2ywItI0tBcmnjBNQ/51hUqgbMO8tiMoupHOsW7zlzyss5\n1uVkAW5kYGjIPDY4b+2tKVCGcrxpE/3WkWNhS+ztpe9oCjJ08LVVL1tG910RG0M6WzXnbgW5TDnH\nIyMUIPkox645x0Ac5Vhnk1y5MqwFmsv7A2HkWN0cuOaa5kq7PlCVY1WlyVuQS3w333lncpLcTmLu\nFMfiS45tueji2HS2XrHRXYRyDOjJ8a23An/91/rnmwpyyTnHWcpxFjn2tVWb5uH1692FgrExWl98\nrdVifolRv0LnQgLsrjSx6SDDZfP5scfo2NV7ivN6KMdZeOUrqVCrDb7K8dq1/jnHRRbkWrmyupzj\n3bvN/Yh1UOdr3bpsu1cSOS4fiRx7QqivojInkM9WLRMTxtys1cPDtGBv3tx4zIUc+1qqgZlvqxY5\nx6JSNVBtKyegfOVYR45dlP6hIXqOLqCWqzOqiEmOR0ZIMVPdCzZyLHaz1UrVLrBtnOjGX0dH+OZZ\nFmTXgTinAwONipjieG3KsY4chyjHZeYc68ZULGt1kcpxHpShHAP+c/TgII172Y3kaquWz7Pt/IrH\nbcpxmeT4hhuAe+7RP18lx/v20X0pyKkt57hMWzXgl3c8Pk6xky85jqUcm1xIQLatWqccZ43zhx6i\n3+o9Jfq7C3v34sX1JMeveAWNU9v39O1zfNJJYbbqIslxVcrx7t1+n60jx+qYtc3BKjlOFauLRyLH\nntCpr7Fs1YBbUa6HHgLOOKNZqbK1MxAYGCiGHLezrVrkHLe7rTq0z7GuGBfgrhzLv2UMDprt+zFb\nOR04QEGTSnAXLKDAVhdQyeTYx1IN+CvHQHFFueSNFfEZ6vXUHa9YaHV1CoStOkv9E88D9GNF5E+p\nRLOIglxA8eQ4b85xXmTlHOctyBWaG6rbAAmxVbuQYx0xq4Ic//jH5vOk2qofeKDR2xTItlUXoRzr\nbNWAHzkeG6uWHIt5XocilGMRg6n3lDpuliypxladhQ0bKE3v+983P8enWvXwcLJVy9i1i8aGayqP\nSF8T0K3LtnslKcflI5FjT5gmFMA/ONGR4zVrslVoXVAvVCubLS5UOc7KOa6DrTqPcnzwII2JLVvo\nMVsrp4ULi1eOQ23VMZVjH3KsU6xs5DgmWdTlGwvcfXdDQZZRNjkuqiiXriCX6kYxFeTKslVnqX9Z\ntmpROEtN4SiiIBdAJGY2Kcc6W3UVyrGOHLvYqtXrGKocC1twUTnHGzY0E8KREeBnP3MnxyMjzXbg\nLFt1Wa2cgDBy7JtzPDJCx59nY5zzbOXYVq06pnKsjpu6KscAWau/8hXz3337HNuU4/HxRmqXjJla\nkGv3bvrtOueq87VuQ8fXVr1rl/PhJgQgkWNPmAhmiHqsIyYuCsX99zcX43J9bQg5zgqSXXOOi7ZV\nhyrHy5fTxLV+fXOwbyLHsSfkmAW5Fi70J9U2cuxiq5Z/yyiLHOt6HAuYHA2CHOsqVWfBZLm3jb8i\nlWO1IJe6WaU7XlsrJ0EOswhOlq16aKiVNAHF2qpjtHOqKzl2UY7rQo5DqlXbzm9WQa6lS8tTju+6\ny1w0B2i+J+fOpXtRJse+rZx0BTSrUI7HxykgD1GOlyzJtzF+4gTZmOVUNhm2jfdQ5fihh+j+Kks5\n1h1nXrziFcA3v2n+rj45x0NDNIZOnNBX8BbzkergKlI5rjrnuLvbPRb0yTlOBbnqgUSOPaGbUICw\nvGOd6upCjk2KVxHkOFbOcRm26hDleM4cmsCFpRqw5xyvWDGzco5NBblclP5Q5VgUqcrb+xIwt4uy\nQc059oFNOTaNvzKU4xBbtW6+kKtV52nlNDysJ4btaqv2Jcfj46R4hWzY6dDTQ+8nlJsiCnJ1dIRt\nAPjaqqemWuc9l7xRk6168+byyPGPf0y93V3IMUBqp0qOda8tupWTjhyvWeM+L+WxVeclx7ZiXEB2\nn+NQ5fgZz2hv5fiUU+ia/eAH+r/7FuRavJjGoqmlmmqpBootyFWVrXpggM7HKafkI8emnGMf5Thv\nW9oEM2YdORbWkNBd9ljK8fAwBTtqYOGqHJdFjufNoxvTlFtRl5zjUFs1QMevkuMqleNQW7UYSz4t\nbWLkHPuS444O+swYRapsyrEJS5Y0Kkj7vrautmpBjnW26pCCXC7KsRhvurFSlHJcla3aN+fYtDkQ\nCsaaNwCKUI4XL45nq7YRdTH+ZJVJbEia+spu2mS2VZ9+enG26lWraK4Q73/rrcDznudOjk86yc1W\n7dPKaf166rPqQjhHRuhHR1x87sWxsTDlWHx2HnJsyzcGspVj383n48fpXtqypX1zjgUuv9xsrTYV\n5NLdS+I+7+nRW6tN5HgmFuTavZvmYhFHuMDHVu2iHC9YQDGU7/2Y4I5ZR447OvIFUrGUY2FnVW0o\nWUHYwADtBJ9+euvfdAV2ZISQY8bsSkCdWjmFqjQrVza3IrHlHMdWjkMWbx3E4ur72hg5x762aiAe\nYdS1ccpCRwct5E96kl+lasBerbpsW7W8sbJiBS3Avb3ZyrHcykm3ex0j57hI5bgdbNUxLdUCsopZ\nREGuJUvKKcilu4YdHea5a3SUru+RI81/n5ig+2rTpuKUY8YaececA7fdBjz3ue7keN265g040zjy\naeV0xhnAuecCn/509vEfPkxzrW6e8yEuYiOxv9/vXI+OUsxRpHLc2UnXRrcprLvOWRv1v/wlEWPd\nhpP6fuJ6hfQHzzrOGHjFK4BvfEO/2e6TcyzGoWn+1lWqBmZmQa7du0k19nENxG7lBJBjZudO9+NO\n8MOsI8cABauhqpWJHPsqxyY7chY5fvBBqkIoWgn4vDaEHAN2FandWzkBwBveADz/+Y3/m2zV4+M0\nIcdYDOX3jJVzHJscZ10vETj4KscAKQGHDrkfpwm2glw2LFvmn28MmAMr2+aMbiPgM58BbrnF//Nl\nyNbUzk76Tjt3Nt+PpoJcLrZq35xj+Z4oUjnWkddVq2jM5VFPbe9fB3IsK8dFFOSKRY6zXAcma7wt\nH3fBArqP5F7Whw7RfLxkSXHkGGhsSvzyl0SGNm1yJ8cf+EBzb+usatVCURfPMY2jv/s7eu+s722y\nVAN+9+L4OB2fT57y5CT9LFqUb+3PUo4Zs59X381n0dZRt+GkjhvRrjDPxpTufWPhtNNo/IgCUgKc\n6+NBm606RDlevJjOTYwUKhlV9jnetYvI8aJF1dmqgUSOi8asJMeit20ITARTtARyRSg5NlmqXV7b\n328uamGDTUWqi606j3L85jc3VzW22aoXLKC/510M5feMVa06Jjn2yTkOUY7XrCFFIC9ClGOA7r2Y\n5NhXOf7XfwW+/nX/z7d95qpVFMDL11O30RPLVi0ITmcnKX/ymC1bORYKX171OBY51pHGvChKOea8\nofCVUZDLdA2zVFW1cvT+/UTWXFpHuR6DDuK8//jHwLOfbV/L1Hty/frmzfSsatVAs3psIsfnngtc\ncAHw8Y/bj91UqRrwV45118AGcY5DitnJyFKOAft59VWOBTnWbTjp3i9G3rEuNzoW1qxpXX8GB2me\nUwUF07wvxqGJHB8/rifHwqWVZ87XYWyMxu/oaHas1NcXN/aUlePYtmqfTZ5EjovFrCTHvkRWRizl\n2ERKsgjujh36StUur82jHOuCnclJek/dpKiiDFt1qHKswmar7uqi6x/LzhOrIJdQHubM8XutqSCX\nq61aLSAjUHfl+NxzgWc9y/91NleBa0Guw4eBX/yCWsLkgYkcuxTk6urSp2GE2KqB1vFShHIslCjT\nJkQMa3WsnOMylGN53s2jHI+P0wbH/Pnl2KpNeeM2cqxTLffto3vfpTq26T1dsHEjEcIQcqxCfEfZ\nZcF58zog5x0PDprH0VVXAR/6kD1AN1WqBmhMi37kNgi7cmdndeTYphwD9g3tIpVjIE7ecVHKMdDo\nZCBDl28MZCvHpvm7r09vqwbiF+WammqIIWoagg7vfCfwH/8R7/N9bdWct87XJlu1KT8/kePyMSvJ\ncRHKsW8OZVHKsW0Rik2Ojx2jm1ntZapDnW3VKrIW2sWL49l5YrZyClWO8xTkWrXKrBzbyMHatfmV\n4+Fh+hwX54KKT3yCqs76QmycqLb6LOVYnhtuuYWK+tx3Xz67mY4cHzmSXZDLpZXT3Ln0PFNxN5VE\nqptfJuV4/nwKbEKCZTHGTXniMSpW19lWrSrHcjCapyCXOK8h7p5QW3UIOd6woZUcr1/v1lfZ9Rh0\nEI6EGORY57IQa4AY1yLgF/efSVE85xxg2zZyoZiwb5+ZWDLmph7L38mXHIu5JG9Brizl2FYFPCTn\nuArluChyvHp1q3JsEnli26oBGmMf/zjw3e/Gqb0hF/RzOfcnTgCPPJL/cwV27wZOPdXdVj001NiM\nFjCRY1NqSyLH5WNWkuMilGOftgiAnRzbFpI6Kceu+cZAI0fap5KyD/LYqlXYWjl1d5ejHIfYqru7\n/V+bt8/xypVhynEMW/VjjxEh8i2qlQcdHTSW1XNsC4p7ehpVYwHge98DLruMFtgdO8KPRUeOgTit\nnLIK8emUY/lzTMoxY0TqdAFWFrICyBgVq+tMjgX5n5ig45RTZFxs1bfdBnz7262Pi+8cixwXYasW\nynFVtuqf/5zmqyc/2XyehAKctQ6pr1d73Ao3jthgss1vV14JXH21ebP2gQfs7epcyLEcmPuQY+EQ\nKEs5dlXcbBvI4+PU6vOMM2a2cqwrxgXEL8gFAB/+MK2bH/wgEbqXvcz/O8iQz5XLuR8ZoTzhWPC1\nVevOjSnn2Ec5Pv10+l5FxdSzHbOSHNdBOTYpdjaC29dHrzvlFP3fyy7I5ZpvLFBk3nGZynGs9g3i\nPXWtnMpQjkdGyKKkIzGuOcc25bhoW/WuXUQwy4ZufNg2Zxhr7N5zDtx8M/CCFwDnnZfPWq2OHR05\nDmnlJMaDTZHLslXbWhmFWqtNhZwEirRVh5Dj2DnHQjk9dozmIJk0udiqv/99PTmW7a9VVasG7AW5\nururtVX/7GfAhRfSxphpfZicJBKQ5aRSv6eabyqUY5cNlq1bqXr2l76k//uOHfbaCi73Yig5zuNI\nkJFVkAvwU45NaVMA8OijjTE1W5Vj9V6anGwUZAtRji++GPjoR2n++elPSZnPA3k8upz7mOR4dJS4\nw7p17tddR45NOcemnuA6cjx/Pq35MVoYJrRiVpLjIpTj1av9gn1TrqeN4O7YQS2HTIuvSxuoEHJs\nCj58lGOg2LzjmMqxLec4tq3aN+f43HNJMVERQo5N7cQAP1t1VcpxnchxlmIkinL96lc0VrduJXJ8\n553hx6GOHVF4Ry3I5dvKSZBDG+kQCrOAjhybyGEoOTblqgoUaauuus+xOIalS8lKpwaiLsrx8LD+\nObGV41BbdVZRJZWYlWWr3riRfj/nOfS7s5M2FVXFxkU1BlrvFTXwFTnHru6Diy8mZVvF+DiNla1b\nza8tUjmOYaseH6e5YuVK+/N8co5NzjCgkW8MuLVyAtpTOfbJORbzA2Nh5Fh9/7zFTGWnRdnkeM8e\nIsadne62apNyrI7X0VE6h67jGEjW6iIxK8lxHuXY1uf4xAl3YhKSc5xlkSrbVu3a41igyLzjmAW5\nXJTjWLZq35zjw4dbx+7UVIMo+ZBj0wYNECfneCYrx7o8Xtv4E86Sm28Gfuu3KNDIqxzrbNWdnc3z\nU2grJ8DPVq0SG1tgn0c5ns22aoC+4333tQaiLsqxiRzLCp8vidFtArjYqn3Osakg1/79DZWvSHK8\nbBl9x2c/m/7PmHkOcCHHrrZq1zH0tKcB99zT+vgjjzQ2D0xwuRdDc45j2KoPHWrMazbYbNU+yrHI\nNwb0cc9MV451G03yOAyxVcsIuVdVyE4LV3J8+HCcDiOijZP47Cpt1UAix0ViVpLjPMqxiWB2dPi9\nb4it+ujRhnVSB131WRlF5BzPVFu1Lec4dkEun1ZOY2OtQbBcoMJXOTZtbrhcq8HB8JzjFSto0chT\nkKrdlOPDhynf+AUvoMee9jTqW+6jSNo+c9WqVieArZWTrj9xHlu1fE6KUo5ttmpRsCpPD/K6k+OT\nTyZyrAZbLgW5hof117OInONQW7XNGrt+PRFicX2Fclw0OWYM+Kd/aq5uHzIHCMS0VQNUmGvHjtY1\nI4NzT0YAACAASURBVMtSDfgrx2vW0LrvMk5iVKt2aeME2MdO0cpxjHigaHKcJ+dYvsdjKMd5ybE8\nHl1Ue/F5aq/nEIh8Y6A4W3VSjuuBWUmOi1COAT9rdYitOqt3ZhU5xzPRVm3rZVtWQS5bwRDbbnaI\nrVqHom3VnZ10H+apXtlO5Hj1agr0vv994PnPp8fmzwe2bCGyEwL1MzdsaA0kba2cxGaKfJ1dbdUu\nrZzKVo4XLaLPDN34BOrdygmwK8dDQ/aNARflOJatOmZBLqH+zZ9Pc0pvL80vo6MNVbfInGMAeOMb\nW50Sscixqm762qoXLyYFXQ2SbcU7BXxzjjs7yfWjS+1REcNW7ZJvDMRTjmVy7Kocx4gHirZV56lW\nLbtDTMUUfclxng1M+Vy5KsennBLHWi0qVQN+tmo1zrJVq07KcT0wK8nxsmU0YEOqvNkIpk/F6hBb\ndVXk2BQk18lWHVM5LjPn2NdWPT6uV47FYuFTzCsPOea8Ua06xFYN5G/nVBU51o2PrM2Z1auB73yH\ngliZwOaxVqvB+JYtwE9+0nqsplZOQOucIduq8xbkiq0cuwSQecdULOU4a64OhUk5FoWibPN/XZTj\nkD7Hcs7rvn0NS3VWVXUT8pKRPORYfa1NOc6aQwV01uqYyrG6CedirRbXOY9jzFU5Nn1GiHJ85pn0\n7zKVYx2JjwXhWpIJqYkcd3U1+ggLyMUFe3r0c/fjj7u5COfMobkqTxwYUpBr69Z45DhEOVbPdbJV\n1x+zkhzPmUODNSRAy1KOXclxiK1atjzqYHut6C0aombEaOUEFGurLquVU1dX8cqxzVatI8dVKMdj\nY437KEQ5BvIV5RoepuN3URViI9RWvX17w1ItkIcc6zZW1HNua+UEtM4Z8hzjoxyrn1OEcpxlqwbo\nPBehHNfFVr1xY6O/vIqsoly2glwxlWNR6G1qSv+a0FZOQKOdk7BUA+1HjrOUY9+cYwB46lNbyfH9\n97uRY5ecY3mNciXHsWzVLnO8aePdRznu7aUxKwob+rRyqrNyPG8e/ciKr6kgl26zKctWLYQm11gw\nr7U6pCBXUeTYJed4cLC57R4Qp88xAJx2WqO9X0JczEpyDITlHU9O0gA2Bf2uturJSfPkZMsbdlGO\nTYvQwAAdd0hP2JjkuEhbdVkFuapUjsfG9Au2mDh9+hzbCnJlBcoicDMF5K7KcWhRLtHjOKttShEw\nBcZZBbk4j0uOdRsrKkwFucSY05HjdlaO81j1xX2jIzh1Iccnn0y/dWtHVlEum606pnLc0WFfx/KS\n4337Wslx0bZqFXXKOQZIOf7FLxr/Hxujfr1CBTVh6VK/nGOgod5nIZat2lU5znIdyM/Vra/CUi1i\nJHE/yYprO+YcA61FuUw5x0Dr/ZRVkEtYjV1jy7zkWL6mrn2OzzorPjl2tVUPDrbex6acY6Ecq7Zz\nEzmeO5fuj1jVuBMamLXkOCTvuL+fbgjTJOBqq+7rowlVV4FR3DS6Xfc8tupQSzVgJse6XAobZoqt\nuqqc48lJmjRjKsemzY2sgEYsmKaAvGjluCpLNRBWqVZUXL344ubHzzmHqsqGVNJ0CcZtBbkAu606\nSzmW5yLfnOOsgFyHrD7HgD6/zhU2ZbpOOceAvjKsi3JsslXHVI4BewCchxyrtmqArs34uF+aVNXk\n2Fat2jfnGGi1VT/8MM2PWfeLb0EuwN9WXYZy7NPKybRGyvnGAMUTc+a0WuDbTTkGWts52RyQNuV4\n4UI6Vvn8Pfqo31ocQzn2sVUPD8dRjicmaO4Rc7CrrVqXHmFSjoWApQocJnIMJGt1UZjV5NhXObZN\nKIC7rdpGShgzLyZVkmPdZOZavl+gnWzVVSrHJlu1WJDqUJCrauVYbqlQNkIC47PPBj74wdZ7cO5c\n+puuFUsWXMmx7lhlcqwW5AqpVq0qN1X0OQaKI8chynEROcdr19L8YLJV10E5Buxjx7eVkxwY6mzV\njPlvXlSdcxxbOV6/ntYMsdnokm8M+LdyAsq1Vbsqx1mVzmWYxvnBg40NFwF183emKMe2WFa9d+V7\nXPQ6lr/vrl3Apk3uxxLSl1yGj616YoI2zTZvzk+O9+8n3iA+W8Q+pvQRAV0sZMo5Fk4LWyqUikSO\ni8GsJcchtuosgulqq86yI5sW+qrIsUlBqhM5LrOVU1XKsXisDjnHNuVYqNszVTkOKci1ZAnwznfq\n/xZqrXYJxnXjISvnOKTPsbqgV1GtGsiXcxyTHOv6/8ZAZycRoVBbta0gV4izx6Ycm1TsGMqxTI7F\n5/kE3FUrxy45xzo7pgmMNecdu+QbA2HKsdigyEKeTRcBH+XYtZCRaY3UKXzq5q+JHLvkntqgs3/H\nhE45NlWXVu8ldS5Xi3L5rsUhaRAyfPocizG4di195zyfK1eqBmgunjcv+z11a6HJVm1KQ0jkuHzM\nWnIcYqvOUo5dbdW2XE+gfuTYZqv2Jcft3MpJJsdV5ByLYypDOXbJOV64UK8cj41R3mHW9cirHFdp\nqw4NjHUIJce6saPC1soJCLNVc94aJJaVc5xlE82TcxxCjgcGgAceaH28KFs1QMGQjjBk2apHRvTt\nnmK3cgLCbNW2vFG1IJdsqwb82zlVTY5dq1X7jCE57zimclyVrZrz/AW5fJRjU1uyLOU4y7Hh0rao\nbjnHJuUYaC3KFUKOY9mqs2Ix4YTq6KB6DXl6Hcv5xgIu1mqTcmwix1lFNFUkclwMZi05Lko5diXH\nRSjHtiIoAwNxybH4nKxgVT2+Im3VReccC5U3tq3atVq1STmWlQcfcmwbh1kBjVA15s+nsSBbi1xU\nYyBf2506kuPQ8XfeecBttwF33AHcfTcFti6BvqtybLNVq3OGi61akGu5GJpvznG72apNc/J3vwu8\n4x2tjxdJjm+4AXjOc1ofd1GOJydb5wc5KPMlMSG2alsrpyyCMxOUY/U8x8g5Bprzjl3JcU8PxTW2\nfG11E+6kk2jezrKT5rVV9/XRuXI5ByE5xypp1Z1vF+XYRo6HhylHNYsgt0vOMdA6f5edc+zT51je\n7D311HzWahM5znIN6BwgWbbqpBxXj1lLjotQjgU5zpoIbTnHQD2VY3UyO3bMTzUG2stWXceCXC62\n6lh9jsU5MI1lEUh0dNC4k8eHKzluV1t1bOX47LNpgfvTPwXe8AaqaH3lldmvc6lW7VuQS7VVm1r/\nqCSyjJzjOtqq+/tpk0lFkeR4/nx9UUiXglzyb4GilOMibNVLl9Ix7t3brBy3Ezl2qVbt28oJaJDj\nkRGq5r9lS/ZrOjqyN3vVeaa7m44xy46dt1r1gQPurfpcXAcCjOk3oHXnO69yfOIEbeTY5jvO7eQn\nBmTlmHN7POhiqxbKMef+Oce2e9VlXfApyCXP6UWR46xYUGfXt9mqdWPZNj42baIxVlRsPVsxa8lx\nEcrx/Pk0gLNUxTy2aptSW6at2tdSDbSXrdrW51jY3lzsUlnwsVXHLMjFuZ0cC1u0acKVF0w1OHAl\nx8uW0XND1Kpjx9wKtRQB3fjIM/66uoBvf5uU43vuAf7mb9ycCaEFuUy2as6b5xiT+qebh3xyjufP\nb7TF84FLn+OybdWDg2ZyXERBLhtcCnL19OhdQLELcsWsVi0Hhow1cq7la+Wbx1gUOXYhOLpq1TFs\n1Vu3UgB/993U/9SVbGXlHesCcxeHRl5b9cGD7nO8yXVgIhW6dVI3ll2UY517SkDcj/v3m49d58SJ\nDVk5HhykYzaJCeq9pFOOBTkWZNYnFjStK4ODwOmnZ7/epyCXPKefckp8W7VLOydXW7W8meRjq+7q\nIkfNo49mf4cEd5RCjhljHYyxnzPGblAefwdjbIoxtlx67N2MsZ2MsQcZYy+UHn8GY+xextjDjLFr\npMe7GWPXT7/mJ4yxk12OqQjlGHCzVs+Egly+bZyA9mnllKUcd3bSObEFoi7gXE+qTLZqcUw65Vju\nc+xCjoeHG6qvCbZgWQ7c1N11V3Lc0aEvYvdv/2bf4X3sMbKqVdHjGIivHKtwVcFiF+SamKBzKu4j\nH+XYJ+eYseYAyxWufY57e8M2rmKS46IKctlgs1VPTdF1X7bMvLnmS46FRVt3TbKqVYcqxwAFgrKl\n2vZ5fX2tY0GXM++LOtqqu7qIIF9/vZulWmDZMrtiF0qO5XFVhXIsrrOOVOiun4tyrEsJ0LmnBITl\n1kaOi7ZUA83KcVYc61OQSzi4XHsci/fXrSsnTtBcmrX2ydc0S6iIqRwfP94at7vYqnXjypRzbNpM\nynIWJGt1fJQVXr4NQFPZEsbYBgC/BWC39NhZAF4F4CwALwFwLWNP3HYfB3AF53wLgC2MsRdNP34F\ngKOc880ArgHwIZcDClGOT5zIJpguFauLtFWbFqG6KMft0Mopq88xECfvWBB6dWHJqxzriLUKm2os\nYNvxV5Vj+ZhcyTGgL8r1j/9ob21UpaUaMOfxxtqcMQVaKmK3clLJoYlwZJFjzrNV3hBrtUsQOXcu\nHbcv8QbCco4HBuh7qKpRkbZqE2y2ahF4LVzYek1DlWPhINAFxlm2ap9WTup1X7++lRybNpRe+Urg\n1lubHxObQJ2d+uNzQZG2akGOfapVCzztaf7kOKvvuM7d5Koch1ZBB/yUY931mJiga6y7zro1Vuf2\ncFGOxfN0G1PisQMHzMdeBjmWlWNbMS7A3soJaLZV++YbA+Z7VZwrn+rpc+bQGDNtCso1NPKSY138\nnacglynn2LcgF5DIcREonBxPk+BLAHxG+dPHAPyF8tjLAFzPOZ/gnO8CsBPAMxljawEs5pzfOf28\nLwC4THrNf0z/+6sAnu9yXCHKcX9/tnJsqlj98MNUSOUjH6HFOstWXbc+x+1Ajstq5QTEyTs22fDK\naOWU5V4A3MlxqHIMtBblOnAA2LPHvvFQNTkuQzl2sRy7VKvWEXmTcqzapUNzjgURsyn7IeTYxVYN\nhBflylKOdTn4g4NEjNXxWgU5tinHYu3QzeWhyrFtPYppq9Ypx2o/WtPn9fa2KvsxyEiRrZy6uujn\n2LEwcnz4cFzlWLdO+SjHeWzVrsqxyYpqus66eVHn9nDJOQayyXHVyrGoxSDmKh/l2Gar9s031r2/\ngJiXdE4cGer5shHUrIJc3/oWxeUu0KUTudqqi2zlBDSK5CXEQxnKsSDBT4QVjLGXAdjDOb9Pee56\nAHuk/++bfmw9ALl5wN7px5pewzmfBHBctmmbsHw53YRZFRdlDAxkB/06W/VNNwEXXAB84hOUOP+O\nd1DRHROKslUvWmQ/dhN0ClLdco7LtFUDcZRjE7mxVasWxVpkhJDjuijHalGuO6e3v2zK32wgxzGV\nY52tWpdzLO+yA/7KsdxqLCuoL0o5BsLzjm3kWCiN6rkUljo5oBN24yIL7OhgU47F2qEbW3mUY9N6\nZGutlCfnGAAuvRR41avcPu/EiVbbY9XkWH2tzvq7aBHFEa7zqMBTn0q/n/xk99e4KMdVkOMDB/yU\nY/UzbL2DdfOiqVr1TCDHooja8ePF2Kp9EFM5BuzkWJ7T166l4xafPTUF/OVfArfc4nbc6vooPttm\nqxZV0dVxqM4Bk5MN96NvQS6g2JTF2YpIdEIPxthLARzinN/DGNs2/dh8AO8GWaoL+ViXJ4nCSn19\n7rmzuptDhc5W/dOfAm95C/CBD7h9jo7kipvMtvgWpRyL952aaqhBIeS4qBuYc5pcimzlJCpKivMf\nQzn2KRYinm/LGbS9VoULOc7KOV65kv6dVzmW75c77qDrmKUc//Zvu71/EYhdkEuFDzl2qVbt2spJ\nJYem48iyVWdt4gHh5NhVOQ6pWJ2lTIvvKJ9zXUAnFCifPLwYyGopUxfl2NbKyUU5ftaz3D+vjuQ4\nSzkG6FoePuyvHD/1qRSDnHGG+2tcCnKp32v1auDXv7a/r00Jc4GPcmyyovoqx7o+x3ls1QMD9Fk2\nW7XtOGNCbGicOEEE1wRf5fh5z/M7jgUL9Ou7OH9ZyrF6vmxChTyny72Ot24l0eqhh/TziQ4htmoR\nC6lrgUqAxdrGmH9BLvF+iRzHRaHkGMCzAVzKGLsEwHwAi0GW6FMB/GI6n3gDgJ8zxp4JUorlglob\nph/bB2Cj5nFIf9vPGOsEsIRzrr29rpT6o2zbtg0rVmxDb29ccrxmDfDgg82P3Xsv8IpXuH0GoCe5\n4rNtAZcc6KrIQ447OhrvLRZrXXGCLLhU8g6ByC2KFYzqJprJyeY8tVg5x7pgymar7ulpXWjVPscu\nltw6KccPP9z4/x13ABdeOLtt1TFzjl0KcomgJI+tWh4rRSnHLn2OgWJs1UBjXpbnUV1AV4WlGrCr\nteLa6q5pUcpxUbZqHWzk2Oa0CUWROccAbdw/9pj/OFq6lNxpPhvFWfeicCzJWLUKuP12+/vGKMiV\np1p1mcqxKaVBVGCuWjkGGq7GrJzj+fObx4Mu51j8PTTnWGcBdlWO1etqEyrUOV1Yq7duBT72MeAl\nL3EXOXTrw6JF9rXGtBao41V+7xBbdSLHwPbt27F9+/Zo71coOeacvwfAewCAMXYxgHdwzi+Xn8MY\nexTAMzjnx6arWV/HGLsaZJc+A8AdnHPOGOubJtB3AngtgH+efosbALwOwO0ALgdgNElcqTQPFXnH\nmze7fZ+sVkoATUA/+EHzY/fdB1x1ldtnAHpy7KLGFKUcA43ASybHp53m9x5F2apjqnaAfuFUVboq\nlOPxcQpkfvWr5sdDc47zkGOZAOdVjn/0I/r31BTZqt/+dvtOex3IsUowYtr6XXOOY7VyErUX8tiq\n5c8pUjmuylYN6O+HgQGaC+pAjl2VY52tWthfYyrHputruo66sTo15eaQ0JH+0VF6v7opx+prdcqh\nIKMh48h3Hlq2LLvVUN5q1RMTzc4zF/gqxzpC4aMcmwpyyd8zxFa9eTPFgCaURY5l5TivrVpUgS/C\nVu2iHPvYquVrKsjxjh0kWl17LfCpT2Ufs2hzqFOObQ4KUyykzgHy2hNSkCvZqknw3LZt2xP/v8qH\ndGlQtHLsAo5pKzTn/AHG2JdBla3HAbyV8ydKoPwJgM8DmAfgfzjn35l+/LMAvsgY2wngCIBXu36w\naPvhCpeCMKqtemiIdoC3bHH/nFByLG4Q3SIUixwL1MlWHbMYF5BNKIB4yrFuwrPlHC9Z0mpxHx1t\nBFNz5rjbqmMV5IqVc/zIIzSmzjgD+OUv9c+vuscxYK5WXcecY59WTjpbtUk5VuciVTkughz7FOQK\nKU4SQo4HB8mqJ6sdVfQ4BvIV5BLKsc/mpa1dVayCXGLezXIF6Ui/CJjbUTmWNx6LRlGtnMT9xFjj\nfLncvwCdy74+6irighjKcVEFuc44gyy8nOvHcdnKcRY5VucIk6366FGKN3zjwLw5x6EFuYAGOf75\nz4H/83+IA7iIHOPjdO3UODMr5ziEHCfluB4ojRxzzn8A4Aeax09T/v8BAC3ZuZzzuwCco3l8FNT+\nyRsrVvhVrHa1VcsFuR54ADjzTL/AOZQci3yF0dHW58Ygx/KEVqdq1TFVO6BBfuTFTJ2cliwpriCX\nLee4u7uxuIhJNzTn+Mwz7c/J0+d41arsYwCac47vuAN45jPp3JoKclXd4xioT0Eul2rVLq2cTNWq\nQ1s5ufT4XbqUqpL7wDWIXLUKuP9+v/cGwsnxxo31UY5DC3LFzjmOZat2zcfUKdVifi5KOVbfN2bO\nsdjsLGOTpahWTvJ5Ft/ZlRwPDFC84jrP+6pt6ganKIik26TIm3O8ciVdR9OGdBXKsU2R1ynHOlt1\nqIPLNDcMDVEcF1KQyyXnGKDj/dzngLvuog34/fvdyLEp9s+qVm2zVctzgI0cT06SGGJrPVdksdvZ\nigpDzOrhqxy72qplcnzvvcA5LZTejlByLF6ru0nEYhMKVUWqEzmObasW+cuTk43HdOS4ilZOXV32\nPKh27HMsVD5Bjnt6zItd1ZZqwNxTM2bOcZatemqKfrI2hVxaOcktmOQ5JrSVU1HKcdW2at11GRho\nJccumwNFIE9Brtg5x7H6HLtecx3pF3NI3ZRj12rV8+aVswkY2sqpt7e1tZkMHTl2he8Gk6latek6\nq8qxGMuqsitv/E5N6Qk0YFeOFy0ip5MpVcimcMeET86xWpBLZ6sOyTcW76+bGwYHqUWbr63aN+f4\nf/8XePnL6Xy49CkGzLG/a0EuFT62anH/2dwzSTmOj1lNjlesiG+rXraMbhYxUO+7D3jKU/yOS1dY\ny4cc6wLr2LbqY8fCbNVF7G7FVo6B1sXTZ7fSFSGtnLq67Favqlo5heYcL1lC52FoqFk5rjs51uWk\nl6kci8/LspuK8SAHsbZWTvL8Nm9eI01DRlYrJxdyaHMHmFBln2Og/spxVkEuoRyXUZArlq3alcjq\nvnvRynGR1aoXLSpvDIW0cpo7l66x7R5WA35fcuyjmvtW+FU3DU33rLzxK0isbs61keOFC4n0mfK6\n655zrN7nc+eSgPDgg+Hk2GSr3rAhrq1aR44BqmuS9Vr1fXTjMctWbRpXPrbqLEu1eE0ix3Exq8mx\nKMjlChdbdUdHc3B2773+5DivcqxrAzUx4W5p0kGXc+xa5VugXZRjQF80pQ7KcXe33eoVsyCXLaDJ\nslW7kmPGSD3es4c2kp7xDDtxqgs51gXGsTZoTKRU/TyXMd/R0bzZMjlJ51xYtGytnBgzV87Pqlad\nNVfZLMAm+Niqi2zlJEMox2rOcd2UY7F26SyNRbRystmqfVo55VWOOzvrpxy7BL8LF5Y3hkJyjgG6\nz2SXnApVOfYZW2Urx6Y5S17bbO+XRY5POql6cuyac5xVkAsg9fiee4BNm/yPI4scF1mQ66STqK+x\ncHO6ihymuS7LVm2KhTo7aX0X7kTZTZMVe+qQlOP4mNXk2Fc5drFVA41JiPNqbNXqa4VqnKfVkRzs\ncE6Lqa1Xng5FkuPYyrG6s1ymcmzLOXaxVccsyOWSc5zHVg1Qnv5NN1HhkoUL7bbqgwerLcYFFF+Q\nS9QOsFmrfT5PHhPqOFZzjrP6fIrn5c05thE5E3z6HJehHHNO50YN6NqtIFdRyrHNVu2Tc+xiOTWR\n4zVr6qccu9qqy1aOTRZp0zqVdZ/J92sZtmpf5Vi1Vbsox77keGCgoRzbbNVlK8eufY4514tCS5cC\nv/hFNcqxT59jda1iDHjucxv/nzePCGrWvGdaG0Jt1Wo/47zKcco5jo9ZTY6LUI6BRsXqQ4docvEN\n5osix3kgB1XDw0RGfSd00w3s0rbGhips1UW2cnKxVcuBp9rnuGxbdR7lGCDl+FvfIks10LBV64I1\nF8W7aBRdkAvIzjv2+Tz5eNVA12arBswFnPLmHNuInAmufY4XLaLz41LUTH1/n5zj4WE6nlWr6pNz\nPDSkv29sBblEcC4XInRBiK1aqCW6sZtXOVbJeH8/rb11I8d1s1WL3GbT/WJyOGWRY/l+LZocm6pV\n25RjF1t1DOV40aJ62KpDlOPRURrTau57Tw+1lIxdkEtNUdEhT59jFYy5xXKmuS7UVg00j0HbvZKU\n42owq8lxUcqxqFgtVGNfxTYPOdYpTv39jeqXoZCDj5BiXOLYdDfweefZ+wBmoQpbdaxWTj7KsWtB\nrixyLJT/OhTkAogcb98OnH8+/b+rS99LGHBTvItG0QW5gOy8Y5dK1QKy0m1Tjk3k2KQ0yvDNOS7S\nVs1YmLXaVzkWqtDy5fWwVc+ZQ3Y93RzrohyrFvwshNiqbXmbeXOOdcrxunX1t1VXrRwD9gJ5Nlt1\nlnJcZUEuX+VYN5bzKsd1slWvWEHE89gx91ZOpusg4r/YBbnWr6dxaEsp8rVVZ8XsLnnHpth/0SJa\nB0wbirZYSB6ztoJciRxXg1lNjkOUYx9bdUgxLsBMjl0+W/farJ1CF8gTZig5Nt3Ahw4BN98cfmxF\nKMeqdVbdPS9SOc7KOVYDXDm4culzPDjYIKA22Kw6g4PxlOM1a+iYhXIMmIty1UU5LrIgF5BNjn2V\nY3G86jh2sVW7KMchOcchyrFr3YQQa7UvORaq0LJl9SjIBZiLcpkKcnHeHJz7BFkhtmoXNU8ONPPm\nHK9bV0/lWA1+1eMpM+cYoDFssrOG2KonJug6inU5pCBXXlt1HZTjOtmqu7poXd2/3105Nt3jPT20\nKRgSV9ps1T09dM5tsZVvQa6stciFHJveZ84cOq+mtdo2jmPaqlNBrvjIJMeMsbe5PNaOEH2OXWxk\npj54OghbdUgxLqAYW3WdyfHAAJXXD0VZyrH8GbGUYx9bdayc46NH3dRX04Q7Pk47u+LYYyjH8+cD\nT3pS4zFTUa66KsexN2hcyLFr+w/VVq2SY93utXwcrspxGTnHrkFkSDsnF1u1So4FiZmcbMy7VeUc\nA+bzKivH8rgaHye1WS7QFoscm5Rj0zkWyrU8f7m2uTGR45NOqp9yrBJF3XdcvjxsjQ2FrSiXaa5Z\nvdp8j4lzLBwCRRfkCqlW7VKQy0c5NqmhdalWDdCGBuf2NDv5XjKdl6VLwwtj2sjxwoX2jRrATzl2\nEZVclWPTXGezVmcpxzpynJTjesBFOX6d5rHXRz6OStDdTQPeheSIwetikRa26vvu8y/GBcQnx7GU\nYzGh5bFVq7vHExP02K23uuXK6lBEQa6yco5DbNV5Wzm55BsDZiucID/iXsirHK9bB5x7bvO5MBXl\ncj32ItFuOcdqQS6fnGNX5dg353j+fHofm31Ohtgscr3Pi7JVy9dkYICUY8aardV1Vo51rhM5MPdR\n+LJs1b7KMeCWj+v6eYIcq7bHqsmxy3d86UuBz3423zH6wNbOKcRWrZ7jqmzVrsqxaUOvu5vmHhGn\nhOYciz7HOiGmTHK8ejUdq20eVZVj3Xnp6clHjkdGWs+FiBvUNBUV6nW1tX6MZau2vY+tYnUIOU4F\nueoBIzlmjP0+Y+xbADYxxm6Qfr4PICNlvn3gmnfsY+lbvZp2CR96qFkNc0VecqzeJLELcsVUPeZ5\nkwAAIABJREFUjgcG6Ng2bQJ+9rOwYyuqIJdt927RIpr4XIN7HYpq5ZSVM5iXHKuBi3o8Q0N+5PiS\nS4Avf7n5Md2CNzJCCl1VxENAV6267Jzj0IJcWbbq0IJcQrnh3E057uig93AtmuUz/wLl2arFOJet\n1VUV5AKylWP1eqrfOaateni4NQDOKqqmy8fNY6tesYLWhpD3tCGmrVqnHHd25t/Q9oFNOQ5p5aQ6\nBHzJse89ZCrI5aMc6z6Pscb6lifnWNx7OtLnugEUA6tWZY+rri6KayYmzPf46tXA5s1hx9DRoSdz\n4hqoaSoq1OtaVs6xTTk2vT7LVq1zbaWCXPWAjVLcBuAAgJUAPio93g/g3iIPqkyIvOPTT7c/z7VS\nNUATx+23U3EBH5IgYOotumJF2GtjKMcxCnLZyPHznkfW6osu8n/fImzVWa2cOjpo0hsYCD+3JuXY\npVp1GcqxaTdSR47F8Yj0A5/Fvru7taJ7T0+rrVocd56WZDFQhnIckxzbCnKpfY5dWjnpAo7OTron\nJibcbcVi3LjMkb6ERkeOP/pR4AUvAJ76VP1rQgtyAaR2iICuSuXYxVadpRzHIMeiOJi6GeOrHOch\nx2JTWBTNEde2anKszqtlkiMTspRj35xjdROkaOVYrJlTU43Kyrbzqq7vtjlLrLe+5HhigsaEGHfC\nWq2mBZWtHGfFK4w17ifTeXnb2/IJAyKelOdbH+W4bHJse5862KpTznF8GJVjzvluzvl2zvlFnPMf\nSD8/55w71rOsP1audFOOXQtiAWSr7u8PyzcG9OpvnVo55SHH6vcS1sTnP5+as4egCuUYyG+tthXk\nEgVN1OeLnGObchzTVq2bcNXARR4bolBXXgKrU47rUIwLqEfOsU+1ajlFoKhWTkAjAHZVfXzyjl17\nHAuoOcdTU8Df/z1wxRW0gaNDSM6x6AKg2qqryjn2LchVlHIM6PPViyTHahsrsSm8cGFz8Fo1OXap\nVl02QnKOfWzVRRfkYsytf7R8PC59joHGPOVLjtW10FSxum7kGGik09js5j7zsQrduiLnHGcpx+rG\ni3hcRayCXEUox7Ft1Ykcx4VLQa6XM8Z2Msb6GGMnGGP9jLGcpYjqA1GUKwu+lVKBfOR4puYcqzew\naDP1G78B3HGHf29SoLiCXLacYyB/US5TMMUYqS6qemxq5eTb59inIJeLciwCcs79841N0JHjOhTj\nAlrHxtQU/YiiRjFQZJ9jeRzPmUPXTVjodDnHLsqx/Dmu5NCn17Frj2MBNef43nvpsUWLgI9/3PwZ\nPjnHJlt1XZXjefNac8jV8xqbHJt6KpsQShxFL1b5vhTrnkiBcT0GF+Qhx3PmNPo9A+2hHNvIsSmP\nVrVVF1mQS/cZsZTjUFu1vHkGmCtWl12Qq6cn+3lis8k17vSFOjfIsYNvQS7AnHccsyBXETnHsVo5\ndXXRe7n2qE/IhktBrg8BuJRz3sM5X8I5X8w5LzEbpli4Ksc+tup58+hmDSnGJV4fu1p1TOU4tCiS\nzVa9ZAltJtx2m//7FlGQK8tWDRSnHAN6a7XcyqnKglxq4DJnDv2MjMQjxzZbddVQx7EIimPavWNW\nq5bHhPo6xhpzhm6OMynHurkoRDl27XWc11a9fTulblx7LXDVVfogNcRWLSvHdSDHIQW5ilKOdcXc\niirIBbSOVZkc10k5llXOycn4G2shCGnlNH8+Pa5bA2PYqn1JmUsVcPm5rsqxj61aJifqWlgH5fjU\nU6k7RBZkW3URc5k6N4yN0eZWV1fzXKpC5EKr49FEcF1t1Vkihy3+D7VVx2zlJDoOuPaoT8iGCzk+\nxDl/sPAjqQiyctzfD/zN3wC7d7c+z8dWDQDPeQ5w/vlhx5SHHKvqBlCvPscmWzVAwWuItboMW7WO\njBSlHAN6kisrx3n6HMfOOQYax1SkcuyqeBcNdeOkCOdCUQW5dAutTI5DWzkBjUXdN+fYBb4FuVRb\n9fbtwLZtwNlnA298I/COdzQ/XxQSCy3IJduqqy7IpQvUxPohrrUI4otWjnW2ap9z7EMcTOTY1vou\nFHnrDojvKch/1XUUQmzVgLmdU9nVqgE/xU2nHNts1VnKscixl99TrkkAmNs5lWmrf+lLgc9/Pvt5\n4l4qUjlWi3iK85+1UdPd3Xq/5CHHLiJH0bZqeV4MIcfq+yXkhws5/hlj7P9NV69+ufgp/MhKglCO\nb7yRKktfcw3w85+3Ps83OLvxRmDjxrBjqqNyHLMgl7y7KmzVAOUdh/Q7LstWrX5GkcqxjhyLY5CV\nY879bdV5c45FLpUMcUy6v4XAZKuus3IcE0UW5FJfJ3JpTbZq15xjsZniSg59bNUhyrFwBE1OAj/8\nIXDxxfT/972PHCo339x4/sQEBVy2TTY151gOfutiqzbNSWL96Oho3kDNoxxnbYKE2qrVvFHX6y5v\n4E5NNWytdVOOgWZyXHW+MRBmqwbMFavzVquOYau2XWd1fc9bkAto3YRRN4rrYKsWKVtZyCrIlRfq\n3KBuNJqUY9NYzKsc16mVU4itGkhFuWLDhRwvATAE4IUAfmf657eLPKgysWIFcN11VH3v858Hfvu3\n9bY0H1t1XoiFRCaRdcg5zkuOOzpa7cLCVg1Qper772+102ahqoJcMZRjm63aRTkeH29UCgaqsVUD\n8ZVjna26LsqxjhzHHn+xc45Ntmr5s1xt1SaFVSzORSjHvgHk8uU0T01OUr7xmjUNO+GCBbQJ+ld/\n1Xi+SxClyzk22aqrKshly70TxyTP5UUW5DJtrBSRcww0j1WxSdfRUU/lWLy+DsW4gLBWToC5KFfZ\n1aoBfRVwV+U4qyBXlnIsnqeSYznnuA62alfIynERG302cpylHOvOlW7em5qiezLr3NallZM4zqQc\n1wOZ5Jhz/gbNzx+VcXBl4FnPAt77Xgqgnvc8cx6cr606D0TuhTp5V51znLcgF9B6A8vK8bx5wAUX\nkMrjgypaOQFxlGObrdol51hdWF36HMcoyKUSYFk5LrIgV1KOCb7Vqm22akH6dATRpyBXkTnHvs6d\nzk6ao44caViqZbz0pdSHXiiKruTYxVZdpXKs21QCmtcPeWzp7K9VVqvO0+ZI/l7yhnDdleM6ECOT\nciycSabvZSLHeVqEAe2pHKtOmDoqx64ow1ZtI8cm5di0maQjqIJwZqUs1LGVUyg59tmASrAjU+9g\njP07gJYaaDOFIG/Y0KwgmKx+vsFZXoiAVUyaPuRYvUHqohwDjaBATBhyzjHQaOn0O7/j/p5FFOTS\nKcfqYl2kcuyac6wjxzMh59ikHNeBHItzzDktvEWRY5OSA/jbqk2tnIDGhppuAzCklVMdlGOgYa3e\nvh34gz9o/ltXFxVMvPtuqpQfQo5NfY6rzDk2KceyKyBLOXYNsMqqVh1iq5bXvDoqx+J7iuJcVcOk\nHE9ONjuTVNjIcdm26jw5x0Uox2rO8UknETkW64ZAHcmxEEOGhiivvKj3FzBtNKrwsVW7xux5lWOT\nrXpign5sGzSmglwhtuqkHMeFi636vwHcOP3zvyCbtWGfpP1hqvZZpq0aaFWAq1aO5T6Sx4+7tQPQ\nQb2BZVs1AJx3Hqn4PijKVp3Vyqlo5diUcywvwkWSY9c+x0B5ynEdbNVqekBVBblcg2qfglzqHKPO\nh5OT5s/u7qb3cO1JXGTOMUCB+6FDzfnGMs47D7jzTvq3SyBl63Ncl5xjV+XYtLnmGmBxTq8tulp1\naEGuopVjQa7k1KcQN0ddlOPFi2k8qz3AswLzOtuqfZXjPNWqgeycY9FnXFVF60iO5VZORdmq5XXF\n1VZtOldVkmPT68WYMinXqq06b0GulHMcFy626q9JP9cBeBWA84o/tGpga4VRpnIckxzHVI6HhuhG\nDd3tttmqAfuuoQlFFeTK2r1bvtytDZgJIa2c1IJcanCVRY7F5oaL8l9lznGdbdVAs/JQhHIcM+fY\n1spJ/ixTtWqZ4Ajiq1vw584lYjZ3rllpklGkrRqgwP1736NcY137kvPPB372M/f3t/U5FvPW1JT7\n5kAR0N03ExN0XGK8yKQ1NOd4ZISea7vOIbbqWDnHRZNjoabKZDJEOa5LznFHB50vdWMli/AXVa06\nhJT5KG6x+xyL59lyjgG9tbqu5LhMW7UcUyxZQudOlx5muqa6ec9V0CrKVp0VC8UuyJWU47hwUY5V\nbAZQgNGiHjBZ/cq2Vccix+Pj9JN3ghOT2bFj4ZZqoHV3V7VVh5DjIpRjl5xjU2sGV4S0curubrVV\ny8c1Zw4FbKZm8P39jf6UWfC1VcdUjutckAtoXoiKGH9FtnLS2aqHh91yjm3z4Ny5tPHiGtQWbate\nuRL4ylda840FzjvPnxyb5q6lS2m8Dg6aNw/KgC5IFGuHOCb5moYqxy7rkUk5LqOVU9G2aiBf7YG6\n5RwD+rzjUOW4DrZqH+U4b59jIFs5BvQxQ53JcVEuGFvOcUcHrf86m7/pfqmjrTrr3Nls1SnnuHpk\nkmPGWD9j7IT4DeBbAN5V/KFVg3a3VavqhrBU5w3WOjvp5jt0KB85Vnd3VVu1zVJjQlXK8fr1wL59\n4Z/h28pJBF+yxV1dWEU7GpN67EMwfW3VMZVjsRs7NdV4rE7KsUqO26mVk0457u+n56lKoHocLuTY\ndZ4sss8xQIH7zp1mcrx1K6k4x4/nL8jV2UlB0sGD1VmqAf2mkrp2yNc0VDl2WY9iKMc+5FHNORbr\nShHKMZCPHNetWjWgzzvOSt8wtXLK0z8bKL9adRHKsZpzDOgrVteZHFdRkAswt3PyKcjl6vYU84NJ\nUACylWMdOXZRjnW2arXlaVKOq4GLrXox53yJ9HsL5/xrZRxcFaijrZpz9+BQJdUxLNUCCxbQxJ5X\nObbZqnt66DE198mGogpyyQRTFyTkJce2YEpnqxaqX2dnYxNEt7DayLEPwfS1VcdUjjs7aQGV+znX\njRzLVuUiyLHNVu2b35hlqz5+XD+/qATHNg91d/spx2XkHAP6fGOAxtjTnw7cdVdYzrEa/C5fTvNB\nleTYphwLlKUcm4q5lZFz3N9vVo6zjsEVM0051ql1eZTjUFu1T7wjQ2errqNyrNqq6zQGBIruc2wr\nyAWYRZIiCnLNmUPn35bik5VzHGKrlserfKyipolcRDOR4/LhZKtmjF3KGPvI9M+M6XGsgykPrkrl\neGyMbhaX5u0qOY5RjEtg/nwK/mKSY9VWbbPUmFCWrVoNfFatIpUm1MoSqhwD9gXblnccgxyLHqIy\nYhfkAppVsIEBOp66qCzyOC7CuSCszibksVXryPGxY/pAQg1ienvNm20hyrFrznGorXrrVn2+sYAo\nypW3zzFA5Hjv3up6HAP6vFGdcpy3z3EeW3UWOXa1xqooM+cYiEOO66Qc665X1iacIMeq6pbHVu2S\nz66DriCX6/pqU6pj5xy3g3IsxkIVBbkAczsn07ky5Ry7brCYqvy7vFdsWzXQfL+kglzVwMVW/UEA\nbwPwwPTP2xhj/1D0gVWFurRykkmuj7WlDOU4j3qny9tTybuvtboqW3VHBwXeut6FLghp5SSeLxZi\nEzk29Tr2IcdVtnICmhesOqnGQPEFuWJWq85q5WQjtepx3Hgj8IIX6D+nyJzjkPn3+c8HPvYx+3NE\nUa68tmqAxufevdUqxwsW0DVWVTFVOTb1Oa6brdqHPJbZygmIY6uuk2qoc81lzTMLF/7/7b17uCVV\nee77fusyV69Ld0N32zR0A6KAQSEKCEZRbJOoXHyAeOXs7OMNc/aO7h2S42MUTRQ0anTHS7KNcSdi\n1OwoR00gbA8PMca0OdkhglwUBAQ00DTQzaUvNE13073Wd/4YczBr1arLqKpRVaPmfH/Ps561Vq15\nqblmzVHjrff9vmFKeeKf4yrdqsvWuSads12W0VH1s86xi3PMWPXix7fE3/O03jNFnWPXfc+rO3bp\nVh2/QFS2IVf8b3SO28Hl2tw5AF6pql9S1S8BOAvA0LrHIcaqq4hjn87xzIwRgnXGqoHsReCTaGsp\nJ6BatDrrqnxWt2pgcJyWcY7rqjmu0zkOqRkX0O2GXEVi1fHx8G//Fnjta5OfZ2rKHF911ByXmUCu\nWwecdVb2bYo6x3aCf+DA0jUsQ4hViyxdYi4rVl13zXFR5zipbrQLzrHqcDjH8bmPy8Q8qWN1lVh1\nWXGclDpwufh84IBJ5aWN4T5rjuOxanvchHIMWOyFrbpi1Xk1x2lzwDoacqXdP0rWeGdTDvFxM+84\ntp8J1aWvq4xzzIZcfnENrkTlUMkVbrtBiLHqouI4+gEJveY4yTku2rG6LecYqC6OizjHUTFtT8RJ\nJ4sscbx9ezHnOL6WJ2A+H/GT/qg5x0005PK5lFN0X4vWHNtJzD33mEnwi1+c/Dyh1Ry7cOyx5hjb\nvLlYzbGNTEYbHYYgjoGlTbnyGnI13a26jXWO63aO5+fNBNk1ChxizXGaOM4bZ5LqjstedAGqOceu\nF1ai+5P3fHU6x/b/21Z3+zSiznHT3aqB9DlgHQ250u5vcamBT4pWuzrHdh4YPQbKimM6x/5wGco/\nDuBmEfmyiHwFwI0APlrvbrXHsMWqfTvHPsRx1lJOQLlYdRtLOQHVlnMqs5RTVByXdY5dRebY2NL/\nA9CccxwVxyE7x12oOc6KVdua46Qxxo4nqsCVVwLnn58uAOqsOa5r/BUBTj0V+Jd/KVZznHSchxCr\nBpbWz8UnifGGXPFat7pj1W0s5WSd44UF83n14dRVuUBm/8+uE98mKOscJ3Ws7pJznHcsZ5UwxW8X\nr6ONz20OP9w4x/aCc0jJgSh1x6rjx5qPhlxVao6zxLFLz5+k+yeZCFHs+JHUILBMrJo1x35x6Vb9\ndQC/BOBvAfwNgBer6v9T9461RUixansyCaXmeHq6ujiOfoDt64t/8EOJVbfpHKfFqu3to1ez44/h\nSxwDyVGdpmqOow5YiM5x3d2qs8Rx0W7VZWPVY2MDUZgVqQbqXcqpzrq8004D/vVf88d3O8YcPJh8\nUc86x2025AKWNuXKa8gVd45dRExdsWpfNcfRi8LRWLV9PB9OXRVxbP/PIYmjMjXHQLJz3IY4LlJz\nHL3om/d8PmPV09Nmm53fhFhvDNTfrbrsUk5p72m8lATwJ45dHiepY3VS49Io9jOR9Ph0jtsnVRyL\nyKtF5PUAoKoPqerVqno1gJeKyCsb28OGCXGd4yLi2E5k7ZVJ387xI4/4i1UnRaqBcGLVddcch+4c\nA8lXI+kcNxOr9rnOcd5STrt2pU8AZmaAn/0MuPNO4BWvSH+eXs8cX3U05MpzHKvwwhea48zl8e2k\nJek4X7Wq/XWOAXNRKe4cZzXkarJbdVNLOSU15EpaF74KVZ3jrsSqy4jjrO67efiKVWddeIie3/ME\noM9YNbA4Wh26OG4qVh13WdOc47T3dGbG/C1qKPhqyOUy1lWJVSeJYzbkap8s5/iDAL6fsH0TgA/X\nsjcBkFVz3IVY9cSEuSpuBwnfNceqfsVx3H0Biseqm3CO066gH3FEOzXHWSfsrHWOi4rMpEkNu1Uv\nreP1ffxF48xJFGni4rqUU9oYMz0NfP3rwDnnZD/n1JR5/13HqiI1x77Wpk3itNPMd9d15PfvT3aF\nVq0ysd22xXGec9xkQ66q3ap9NOSyTvFTT4Ulju3+hOwcuyRU1q71G6suK8iiF3JtfD7r4rO9bd7z\nVVnKKelcGC3FClUcz8wMzr2+L/wCyc5x9D3IasiV9HkRWdp4z1fNsctYlxardlnKyadzzIZc/sgS\nx1OqumR5d1V9FICn6W942A/twsLi7V3pVh2/r2/nGKgeq7Yf4KRO1UDxWHUdzrHLOseAcY6r1Bxn\nxaqjAjfeDTVvKSefznF0wF1YSB7M7f6MUqy6TufYdk9NEyplG3JlLeWUNr5NTwNf+1p2pNo+DuA+\nsZ2eNvszP59/2zonkUceadwvV+d4377kekJ7fLYtjvOc4+jEtO6lnJpsyJW2lBPgXjdaBB+x6mFw\njl26VTfdkCupyVH8tlHnOOv57Hxq7153cayaPEYAiztWhyqOp6eBxx6rbyyLp0qKNORK+3/F646b\njlX7dI4Zq26fLHG8QkSW+CEiMgmg5aqq+ojW2EXpSqw6fl/fzjEQZqy67ZrjNIcvi6yr8vG1iufn\njWCyzZCqLOVUpebYXiSKN2WamTHvp88YVldi1XVcnAGyo9VVGnIlOccHD2bHqrduzV8WyR6HrmOV\nSHoZS5w6kzsixj32EasGwqg5jk8S23COy3arjjdVquocAwNXKRRxHOpSTvH3yyWhsnYtsG3b4m1t\nxapdo6jxmuOsY3lszPx95053cWwfO2kfuhKrfuyx+sayeKqkyFJOae9rvO7Ylzh2GeviYy6Q35Ar\nq+aYDbnaJ0sc/y2AvxCRp99eEZkD8IX+34aWpGh1l51jnw25gNGJVbvUHM/NmRPtzp3FnyNr4hEX\nuPHJV55zHG/mZalac5w2cZmdNSfTJOFclqgDFqJzXGdDLsCvOM5bysk+X9p+vOpV+YmAaLM4V1zr\njuueRH7wg8C55+bfLhqrTmrIBbTvHBeJVdftHFeNVRcRj/bzYu8ffR67nFNo4rgLznHe6zrssPC6\nVbuspx3tVp33fLYExFUcZ7mGXXGO9++vVxyXcY6zPi9xgVu05jgubqOPkzf3P+wwcwE5Sl5DLjrH\nYZM1jf09ANsA3CciN4rIjQD+HcAj/b8NLUm1cF2pOY7f9/HH/ceqV1ZY6brLseq0Aaps3XHWxCMe\nq47f1l7AKbLO8cKCOR6KXNyIT2rSJi4zM2ZC7itSDSye5IfsHNdxcQbIXuu4SLfq6PGQtpRT9Huc\n5cvzI9VAcecYcK87rnsS+aIXAccck3+7aKw6aSknoH1xXCRW3YZz7LqU0/y8+XI9zu3zJZUS2eWc\nQhHH9r6hOcdlY9Vx5zj+f452es/DZ6w6DbsahKpbR2b7Wc86douI4y44x0B9Y1meOJ6eNvOVpPEj\n7X1NEseuc/akbtcWl7EuqTFrGw25WHPsj9QpnaoeBPA+EbkMwLH9zfeoakYP1eEg6STRdKw6Gu0u\nI46jAtRnrNo6pWWpI1bd5lJOwKDu+MQTiz1HXkOu6EQiPvmamTGD8cSEuzjetcu8f1nr9cVxFcf2\nJOBbHIfsHNdZcwxkr3Vc1jlOi1VHv8f58peBdevyn6dozTHgvtZx0xcn07Cfh7RlWqam2hfHXXaO\n4wJnasp92SX7fEmlRNY57vXCEMf2OJqcDEcclV3KydYcqw7eqyw3LO9cXXb5oOj7kXeciQzOk67O\nMVDMOU668A90J1Yd/e6bZcvMe7WwYN6L+HsgMkgQRvcha84Ud399NeRyOfesXw/84z8u3lYlVk3n\nuH1c1jneq6q39r+GXhgDSydsqt2NVft2jqtEqoF6YtVtLuUElFvOSTW/m2Y8Vh19/mgHTdd1jssI\nzPjVyLQBf3LSiG6f4jjakCs05zjerbqNWLWr4xTf16Kx6vXr3S6olHGOQ4lVuxKtOY6PXSLmGG1b\nHLs4x03UHPd6ZoyLNlwrspRT0ffcfl6SxHFoznGoNcdlnGN7QSh6zk76P7seWz5i1S77bcdFl+eb\nnTVjYNY4ODVljoP5+eSLZ5ZorDqkWH2UyclBrXUdiCxtdBYvx0pa6zjr89tmzXGac9xkrJo1x37x\nVB2YjYiMicjNInJ1//cPi8iPROQWEfmuiGyI3PYSEblbRO4QkVdFtp8iIj8WkbtE5LOR7T0RuaJ/\nn+tE5Kiq+xuP+h08aD7MdUQn04gK3KKudV0Nuaan/YrjtFj13NygHsuFNhtyAeXEsXW701yReKw6\nyTku2q26jDh2rTkWMZOBOpxjO9moEuf3zbA15Ip+L0uZmuNQYtWu2FROWmTu0EPDa8iVt85xvDY0\nPu7u2AF8OLZ4o4u7ZxuuRY/hIjXHRYVjljgOrSGXvW9I4qhszTGwtO446f/sWnfsK1ad93+146LL\nsTwzk/949njPW7Xh8MONOPa97rZP7Gup80KfvUiXNZbGTZI85zgkcZznHHOd47BpRBwDuBjATyK/\nf1JVn6+qLwDwdwA+BAAi8lwAbwRwAoCzAXxe5Gn58GcALlLV4wEcLyKv7m+/CMB2VT0OwGcBfLLq\nzsZPEk1HqoGlznGRiWudSzlVFcfRE2RarDoaqXGhjlh11G2zLm/ac7jUHP/xHwM/+9ng97zJVDxW\nnVRzXHSd47Li2CVWDZjtdYjjXbvMceKr0ZcPmohVZ9UcV4lVF605dqVO5zikWPW+fenO0OrVfj8D\nZai6znFcwNx1F/CZzyze5tqVPh6tLiqOiwgHe+Fi585k5zjEhlwhOcdJMXjXiXm87jjPDcvCV0Mu\nV+fY5VienXU7blyWNFy2bNDAMlRxDJjjoc55r72Ylfa/Siqvq7MhV5VY9bp1wKOPLp6z5TnH0TGA\nserwcJpuish6EXmJiJxpv1yfoO8KnwPgi3abqkaW6sYsgMf6P58H4ApVPaiq9wK4G8DpIrIOwHJV\nvaF/u68CuKD/8/kAvtL/+VsAfsV139KIi+OmI9VAtVi1ncDZNUR97ftznmO61lbBJVYNFBPHdcWq\n41HUNJfXZa3jK68Ebr558LvLUhN5znHRpZzqFse+neO5OfN8jzwSVqQaWNqtuo5Uia+a43hDrvhx\nV0bUJlFnzXEok8isWDUAXH458PKXN79fUVwbciU5V0kTrF27jOCMRhxdz0nPeAZw//3m5/l5U2OY\n9VmJTwqLvOd2GcaHHw7fOe5Kt2rX8o1QnOPoRcCmnWNgsThOm9sAg2h1KONaEm2L46TGrHkNuepY\n59hlrJuYANasWdyxukhDrqTPChtytUvulE5EPgHgTQBuB2CrhxTAPzs+x2cAvAfAolCkiPwBgDcD\neBLAi/qb1wO4LnKzB/rbDgLYEtm+pb/d3ud+AFDVeRHZKSKrVLVAv+PFxCdsbbgWPmpO2As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zjH0Vh1Ws1xEXFcpm732c8GPvaxesSfCxs2AKed1s5zZ9FEt+q0WHUZl6rLNcehxarn57vvHNtY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\nOCFdZVjFcZdj1YSMM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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc1491a5c90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "files = glob.glob(\"*_bcd.fits\")                  #list of files which end with \"_bcd.fits\"\n",
    "\n",
    "intensities = []\n",
    "for file in files:                               #Iterate through the files\n",
    "    intensity = max_summed_pixel_intensity(file) #calculate the maximum observed intensity in current file\n",
    "    intensities.append(intensity)                #add it to the list of intensities\n",
    "\n",
    "\n",
    "\n",
    "plt.figure(figsize = (16,5))\n",
    "plt.xlabel(\"Time (day)\")\n",
    "plt.ylabel(\"Electron Count\")\n",
    "plt.plot(range(len(intensities)), intensities) #Plot intensity vs time (index)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}