Behavioral Cloning - Build and train the model.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# general imports\n",
    "from os import path\n",
    "import csv\n",
    "import cv2\n",
    "import glob\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.utils import shuffle\n",
    "from scipy.misc import toimage\n",
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/cpu:0\n",
      "/gpu:0\n"
     ]
    }
   ],
   "source": [
    "# check if gpu is availalbe\n",
    "from tensorflow.python.client import device_lib\n",
    "for x in device_lib.list_local_devices():\n",
    "    print(x.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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KKeQDnuw9stviielYuZwr6VjpOY4kqxOyRxdJ7LJ4iKt7jx+RSiFRqCgiCCIS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rSY6TQolwwatRJBELC1tsr29hbVahXHcej1eoRBTLVeo1pvTA0mdF2n2qjjhQGaO6JcLhOGIaur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O8E4hxCOapv2r6r//l8983Wd7/+eefVa88J731IpxUrq3kGbYeYp05RXSlgvk/9OFlDWt80i1\nfc8zOVEbBPJnEVYDTimsIpaTGefTOYsk4dlv+wewmPHP3vZjfLop2QmHhyc8/uhjtNs2J6cfx/L+\nH/beM8iy9Lzv+52bcw7dt2/H6TDTkzYCC2KRGCFKhEqyAIqmaFikbdEuSeYHy6aKoiTbRbFkVZEs\nK1gOkksuy7LoMosCKENckAR2AWzAzO7O7E73hJ7Ot2/OOZ7jD+993pmhWIQtUyrBxVuFwtaEO/ee\nPud5n+f//EOB7Ssutrbj7GxvEwmsc/d2nXY1xLffPiYUTDKZjRlP+lTdFSLhKCsrK/phCoYVLp1O\npxmPp9oOQOHcM9rzghAIBFQBGU407lkqlZ6BOzY2NrTPuBQgGa2loxIM+dGjR/R6PdxuN6lUCr/f\nrw+I4XCoO3y73c7169d1cVGSeIXzShcoU0EymdRUu/F4rFk54XBYM2wEX+722op9M38/eS9Ad6Xh\ncFi5Zc6XtvV6XdsBCAYsy8WnBUZOp5NyuawXn9LRC9Zss9l05xqLRPV+Qxauwmw5ODhgdXWVer2u\npxUJP5cls7y3dKfiWjkej/WyVJS3T6dojUYjXTB9PhXZKBOQFG1QHfZkMiGTyVAul3Xsn/Du3W63\njipstVq4XC7S6TSmaWqL5lgsRr1ex+Px6IIqU4f8XGOxGMVi8V/y6xcWjuw+LMvSNszCRKpUKvNJ\nzqWvs3wP6czlGtTrdb3DkMCTSCSipzjbUz8nodxapqF/xl6vX1FSx2NsNoeGguLxOOWSOpzi0RA2\nu5N8Pk8sEadSq7N9eYdbt249scmYzVQtANwuG0GvF5fDxmSsPmOjmSedTvPw4BFjc8bmzjZ/5a/+\nPOFwWKm2E3Gchg233YHX5lQe+yYqw2I6oxZQzZKwX+w2NFQlE5PT5aLd6zI1LZxeL4bNRn80Zjqb\nYXM6mA3VcnwyUdcyGo0RDCg67/7+A15//RtUqlW8gSAYNtqdHt3BEMtQGUWj0Yh/9vf/zh8cvfL3\nKPR/C6g9tYyNWZb1nxuG8UeBP8+TZex/a1nWR77TFnotRgAAIABJREFU+7/00ovWO9/+1tyXBnVq\n6lDIqSr4mE/9DfOp/1fqpamZYGYplwPDZmEwxWCEnTEGY4zxFMPmVOo2w8Gf/tF/jwkOnP4go9kM\nh1th9EsLS0xHYxzGmHTcyQ9+3zXC4RHQoV5rc/vWCaWik94gSTCwycj0klxYxOP3EYuU9YMxHA7x\neDx6vHr6OsvCT/xbpGD4fD4MFDzR6Sjvkq2tLUzTZG9vj3g8zqNHj0gkErpYdjodwuEwiURCB1Y4\nnU4uLi40jGK32+l2uzSbTaLRKOPxmKWlJUqlEoAuFMLxflpxZ7fbdecuEY6ycBW8WOIahQ3QarVw\nuZXFrqLlNfUCUT5ztVrVWHwyqahqBwcH6kGOx3WBFSaMzWbTvjUej4eTkxNdQAQGCQaDNBoNgsGg\nZuX4vT7N7pHvmcvlWF5eJpFIKHfJOZtIcOVkMqmhLzloBP92u926mPR6PW3LIBRXWVLLIlaWoJlM\nRnvl1+t1zckXSmKpVCIYDOqJSFSysiAWOiOgi2s4HMY0Ter1OoZhsLa2ppk5zWaT4+NjfR+srq7i\ncDhoNBo4nU7NuLq4uNB0yeFwqMVbsViMeDxOt9ul1Wpx6dIl7HZLv7fco81mUzOfhkPF13e5XOqQ\njcWo1Wo4HA59r/S7HSaTJ3m7DodjHhLOPDXLTavVUTYYqYX5NDghEAjog69SLeJ0uPAG1CQ0M9VS\nNJfLsbCwQLVWxutyiSaMfqdNMOAlHZ+7nbqdpJfjjMZjZdXggPsHj4jEorS6HSKRCP/oH/xPGFMT\nazTBGk0wJlNcloHH5sBpd2B15ktTpw2X3YFpKjuKyXQ0nzQNHTM6MWdKU2lTqtzJ3Bt/YdLHsgxm\npqkSpaZTHQCO3Y7D6abV6eELhShUqrx16xbnhTyRWJxQJMLUnPGXfvFv/4Gxbv4JavGaAErAXwN+\nHfhVYAU4Az5vWVZ9Tq/8O8BnUfTKP2tZ1u3v9CFeuLprvf1r/zuuQFAxbywL/H5FtRSrYNNUoQUA\nfp/q9GdTFagNMAiBW/3ZmVORKsdAfdQn5PbNMSWTn/zzX6Tbb9Gf9FlYXiRfKZBMJ6Cm6JUvPH+F\nhXSEWNjPlUvXcFlR9u8WODuqUSzWaQ86DM0u7pALhy/AzPBid8ZxuUKEJ+VnAq8FXgA1lkqYRDgQ\n1F2xLPBElRkOh+dZuYNnCqrdbicSiZBOpykWi7rLFhijVqvp5aj8++IBIxQ5CdSQznQ6nWr2hmDQ\n8rlAFaF2u63VqlLkPB4P7XZb48lC35OOBtQEI6O9xAnK+8oyVBaEhqGEWpVKhVqtpq/JxqU1ms0m\nLpeLSCSiDdDkfSORiGZ+wBNIQb6b0+nE5/HqwG3pPEW45Pf76fV6OqREsGOxCJbCC6pDvri4eCbk\nW+iNYoksE5VAN7JIlf/e2Njg9PRUM2QAjdkL/CX+8OL9L1h/va4YJKIJiEQi+nAvlUp6h/F0dKIU\nafnZicJZfHDEM6dWq+H1eimXyzSbTW1YFw6HtfmcOkAVflwoFDRUKEvWeDxOuVzG7/djWRaPHz9m\nbW1NK4rT6bSylGiJjbWC1cLhMIsLS/Pv5puL4Ka0mmr6DIXULqhQKOF2u1leXqZcK6ppOaQCXMYz\nlTkRCAU5OnqM2+nCH/Dimt8X1UqBerVMOBxiIa2m0sr5EanFBW48d5NUJs3JxTkf7O+phbQ5odNs\nsZZd4mj/Ib/zL14jf3jC7TffYtTpwczk5ZL6+YVCIcrFAuGgXyE20xnDwQA71lO23Qnq9QYL6Qz5\nkpraFhaXmI0UmcDn8zEZz3B7PbrQF8plQrE4veEIbyTEyLJo9XoEYjGW19cYmVPOzy74zK/8o+8e\nwdRzSxnryz/5RSxLbejtNifjsYrdMy2wudwEIlFsLoW5WU4nhstB7NIl6PcYTSe4F/3gD6iEJk8Y\nwnG6A3CG4erN7yMSC7GQCdPtFwhGTNa3ohSqD1lajWJ3mHzhY58DwOU28Pqc9PpjDh7VOH48odOI\nMB7HqNRaTGnjCHQx7TWcvinhcBS3O0wwkCDiCGFZlipU8wfv6c4lEokQjUYxzRm9dodSqaRhkkAg\nMF941bV83zRNzcIRaMDpdD4zoovMv9/vUyqV6HQ6epkWiUS0w2Kv19Nda6OhLBDi8bim4HU6HQ0t\nyDja6/U0ZhuLxfB4PLr4y+JQilgymZzjuE0uLi5YWlrSTCKBB6SAejweFhcXtQBK4CkpmoL79vod\n/SBI6pLw8gXaEEop8Ez+rBx2LodTm6VJ4Xz6ewkVUEJNut0u1WpV7yRkupnNZjpMRHDn9fV1vbdo\nNpu605XvIpYHMrldu3ZNUzSl0EssokwMcnAJViy4uXT28t1GoxHJZJIrV66QyWR46623NMQDSgMx\nGo1IpVKaYulyufT1ms1mLC0taUdPQMNBUuDlewmV1LLUtZDiHolENEdeJhhZGI/H4/m9riaOhYUF\n9Z0NS0288whQlbalvIqSyTRra2vkL4q4XO75fa8CW8ajJ7BZPBVRortgGJfLhWnCYDTEsixqtRrB\nOXXSQl2LbrtJq9XA43ISCPqZTqc8l80ync1odltUG3WCkTDXnrtOKBQil8txcvSY3MkpIY+HiMfP\nvVu3ySRSxMMR/upf+Xki7yjbhnsffEgyEcM+nVIrF/FiYDdnpKNx+q0O8dQCZrPLdDRl2B8SWt2A\nTo9a7gIza9NTYj5fxOv345tPsqPJBLvbzWBmgsvByLLoTcbgcuDw+xmbMzq9Lp/9h1/57in0L6VS\n1u2f+LG5d40FtrkFp80BoShYcHF+xsLyCgCtwYCp3c7MbmMyNXH7vJQjFdqDCdsvfozkzvN8/5/4\nMVavvUSh1iWcSmF3mFjTDsmEjX7vlEtbUbrdM37qP/oCqXSYi9cVZvr223eoNMa4QwtMbB7w+RjM\nZhyenzMzbHjcflZX1zHHE+zWhEjQRa9Xwe9zEEpd192yCE8Ei3W7XJpjrf1KbE+wTWGSgDWP/Btr\n9oUsT+X9RLgDT0KgpSt3uVx6tPd6vbrL782taUWV6na7n6Eblkol7b74NE/X7XaTyWRYXVUMmUaj\nobNIJV1KCrbb7abTUQeYLIiFlSOLOUAv7AQukMIuL+HZD4Y9vVzzer06W1awb7EAlvcVp02tIJzN\niIYjz4SZyLQg4SPSScuCWKYKobcK5g5KhCS7EGU3ENLMJNmDiKpUGEKiCRD4xDAMTf+EJ26Vcng8\nzZUXBawcktLRChWyXC7rwJZUKqUXwYBuDGTZ2u/3NbfdNE3u379Pq9XSC9ylpSXNnnG73XpJLvTI\nZrNJem5qJotX4dg7nU6d17y+vs7FxYX+HuFwWDOjOp0OFuq7lYpKBKhSuiL6fltaWsYyDS4uLiiX\nlZLa4/Hp6zCdTrG5lXmczXDMYUyL4Xik9xHqwB1o6MZutzGbTXC67HhdbmazCZ3jM4LBIItLS3gC\nHuqtJjNryuLiIqlUkmAgwFI6xbjT55tf+x2GzQ6xYIBes628tYy5/5Y545f/3t/l8L13yR0dY5+M\nCHk8DBptwh4fvUYLj92N3XTQrrdYWlim2+6xsLDAw6Gig6ZSKWrlKoFwSEOyMxP6kxGmza6sXewG\neNyMMemNh1h2G26vh8/9p7/03VPoX0wnrHf/wk/BdMqk3sJud2BzeWBqMcMGDic2j4fifHyNphco\nNxsEYjEKlTLrlzZxf+oz2NeW+ZHv+xRr169gC/k4rxcx7RbZzAIep51Bo4bLnPDRF27y/Z9+FcOc\nUMxf8PrrX8NdV/hnrTFhaIYwAjFccR+xDT9msM155RE2lxPbLMjG0vOYXS/WYIrXNqZWPiAQgOI0\npOGDwWCAY95ZAzgdLgKBAGenp09MtOZRZ5b5BJLw+tTD3Wg0tIlWLBZ7hg4oHSk88aNpNBq6ixKY\nJhAIUK/XCQQCWh0r8IJkjQ6HQ/3fAi89Tcn0+XykUinS6TRer1cv4ETqblkW7XZbwyVinRsKhZ+x\n+xXhFaAXmU8vBIWG6Ha7NZxTb1RwOp3aKfLphaF0irJcBVWARKUbjUbVAte0dOeey+V0MQiFQiQS\nCZxOp2aVuN1uzs7OVDj7vJuXzyzfy+v1ashDun+fz0cmkyESiWjLBoF3pKN/mooo8BqgF5JyaApU\nIxCYTDxiJaBwbEVHlanD6XTSbre1xw4o8zdZAAtcI6ImUN79woTqdrt6ySt0UckkHY1G+qAtlVQe\nsFhEyB7q0aNHOBwO0um0FrNFo1Ed4Wi32/Vewu6wEYvG9UFgmuLKybzRULDeoD/SkZGmadFsNvX1\nL8/N2VqtNgF/aC5s89Dp9PT+pNvv6GfP4bDR63UYT0Y4HCqjIhMKMRyrqcLlcZNMJkhnFmm3mzy8\nv0c2s8Tm2iqlizxXL1/mpZvPc/fd2xTzBb799tt4d5RZ4dHBY7xuF16Pg9lkzK/+03+MNRnPLcEH\nRBeWmPUGWKYNRyhCq1RjMplhM+z4o2Ha8yzmVqOJx+WmVVcTfjAYZIaF3elgNJuC047T42WESX80\nxOZ04Av4ybhWv3sK/UvbG9btv/tfw2AEgyEYdqajMc1mm1a7i2V3UKiW2djaAqBYb2A6bWxfvUb4\n4x/j577weQ7tn8Z0jDG8E9qzAq7oiNGszFI2RK9RYiEa5c9+/ie4vHKdUdPgza99wJ13j6hVBqSS\nWS6qdwHILK+A20lvNsQR9jF1W3RmfWY2k+VVZXvrdXiYDUY4pxZeu5PZYEAiFqc2Vd3aYN492m1O\nvYA05ywIr1uJkFwuF+16W8ME0WiUaCTCReFcsxIEMxe+tt/vx+fzaU8ZUBihhHcPh0MikQi1Wk3T\nKOv1un7YUqmUpjJ2Oh1arZbuLGVUd7lcml4pxcjv9xMKhfQk0e/3tT2DdK+iaJWuu1yu6GIOPCOs\nElZMr9cjEono0G/Zb0jnVqs/YVwotfFEF5J2u83S0pJWYwJaxCNYtWVZhIOhZ6wD5NrJPkQ8WkKh\nEIZhUCwqxaMEjwv+L8IjOTBDoZDi6bfbLC4uakhH6I+/ewcj3bIElstLDnixJ3Y4HNq6QkLYJedV\nvPfl98QSWrxx5JCAJ+HsTwefi5JWlqMidhLlst/v135EotY9PDyk0WjMO2d1z8keZTKZsLGxwfn5\nuWZMyTQqTUq9Xuf555/H4/GQTqfngetdFhYWqNVqbG5ucuvWrfn9ZupdxOrqOrFYTAe7W6ahXUV7\n4z7hcHRuQjeh2+kTjcbp9QZ6FzMcDlX2M2ph2mo1GAzUAe7z+Zga5pxSrK7PsN/H43ERi0Vwu1xg\nmlizCY16lWatTioe49Ka+kyf+uQnuPeNewCcnJzQG3R5+HAfb9BNMBZmOBlSqlcZWTP++T//LR4X\nz4ktZBhOTIamScydok0fq91nMhoTCgYxpiZOA2bz+MN4KEK302EyGmNiKhMzU/3/zKasj03T5Ep2\n+7uo0L9407r9zmtPyDSjsfJ59/nRaYcGehk76bVxplP85J/+UcbWjJllMjJfZW0rQ7V5RCA6pT06\nIRadkUo4+Xd+5IdIBSPU8x2+9Tt3eHCvTCpxjfEkTL44oNezWHx5bingm9EblPCFnWxtXWU49JA7\nGQKKw94bFOgPT3F4uvi9DjzuIH7PAm5HhFhcMUSq1aoqlrMngRLjoeJ3O+xOPG63YhrMnnQ01kwp\nKrFPtbhHukwpYII1AxrvHo/HekEKaLxbQqyr1armXMuhIR2jQCqA7q6fLhbSDXq9XuLxuIaFWq0W\npmnqYiEjvHDA1S5gpD+fmG7JZ5RiI/CJLEOlGMLcLbJd112sLLan06nOkZWQETn0nE6nzlgVn/pB\nr6+LoWgKWq2WphyGQiHNgpKCKEVPaJdyfeT7W5alnSbFS0a+ZzweJxQK6Y5YaJyyd1leXtaYPKCN\n0OQlhUh2KbPZTF9/oe0Jri+fUw6Tp1XComat1+sajpPlt7y/NBA2m4319XXu37+PzWbT1s3iGprL\n5Wg2m6yuLul7TEzzxOTONE2WlpZUMzMnB1y9epVyucyVK1c4Pz9X4j6X85mAcjnIgPlhYervIs2O\nUFi1pbMvQDQaZTazaLc7tJodgkFlO9Jut+l2lG2Izz+38vZ4GI0HWEAorHZhQ0xOTk7wejxsbKwx\nG0+4yJ1jNyyS8RilYpGbN68Ti4S5d+8DSqUS169f1TnIu1U1Of3AD30/pjUjXzznwwf3ODo/YjAb\nqWS6YJBSo8HU7uCsXOU3v/p1av0ek3lsRtRuw26ANZniwsag3iI4P5xs3gDDszM80Zjibk5nMB4q\nB1+PG8wJ9PsYV67/wVgg/Jt4mYaTyiRA2OvHDvRHHYIxP1gmo1Ybp9OBzWnw+S9+Uf0Fp6IurW7s\ncJw7Y2tri8r5u4xGeywt+llbX2Jz8/vZWMlgn80onZzzO9/6OqVSDZcnzPKVNRY3snRnNmZVKDXq\nVOaG/0GXE5c7yMyaUTgp4Jp6CAxg0mtizUzS8TDFrg9j6sVl8+N2R0gvrlOoNGh1mtg6hhb1AEyG\nqnCZqKVoPJag21E3pzVVfj7BYBBrpvxkHG60GEW8PYS7Lg+xsDIA7YUj4hnTNLl06dIzSlNZ6IrX\nzWg00gtCWR4LHCTyeHnv4XCorQkkRlCKm0wYXq9XKyuFCmkYNs1i8Xg8ZDIZLfgSu4NOp6NppLJo\nDQQCGjfuDzr6M4ipmjBhhAFULpefCdoWTLrdbtNqtUglkprzLd9PltoypQj/W7jvPp9PM33kILTZ\nbDoQXA4Gwd9LpZL+O2LKJvGLch2FvSNUV1mAys/E6XRq2KFSqehDRLB+YTg97XMj9sriWS8+9oAO\ncBeoKhKJaBqm4OqJRALLsjg6OuKtt97CbrezsrJCt9ulXC7TbrfZ3d3V05cIuGTSXF5eZmVlhWg0\nSrvdZjQa6YZgb29PNwxCr+31eoxbE0KhEK1Wi0gkQj6f58UXX9Tv6/er6MlaTTmp7uzsEI1Gyefz\nlMsqQN3mdFCploiEYxgGOO0Go/4Aj8cHM5PV7DLt3pMMC5tD7cQMuw3LNKlVG9i8XtLJBWxA+awE\n1oylWApMi3KuQDwYpltpcrz/kCtXd1ldXpvrCRJ0u31Oner9/9mHrzGdjMgXzvmB7/0Ma6+sEYtF\n2N/f5+HjAxz0iAfjpKOr/NGPv0QokqBarfO1r7/OrJmjkLsgf3LCZnaV3KPH+Cz1jMc8XozRiH5/\nhNNmYLcsrOkMu435tPr/LnjkD8PB//D1h68/fP3h6//nr38rOnoLMDx+hqgPZPcHmQGFXIuf/ys/\nh8dlwzAgEFbmUYGQn5E5ptkck1lcZzQy+Nyf9OCwe/jMp38Ac+rm1jc/ZO/tPGeHJRaTWWKBDXLn\nA6Yug0TUxm/vfYmRz6LrmOBYcJK0q67CbQsSccSYVHqMKh3Wlnx4vE3u3v4miWiKS9EX6RfsNOoe\nxo0IRiaOd2WB8ajBxBgzmSizNYfDRrfb5/ixCtpuNttEQlGcu06cdjW+thtNbUbmcblxOt1kV1N6\nKSncedM0KZeVGGthYUF3jPBEpdjr9QgGg1y6dEnDKrJkFTm90N6kIxM8XLpHj8ejqYuAxsUFHpHl\nn+DZ3W5XTxICwdTr9flyM6A7fuAZeuXTClURGcn7CyvpaedEMVuTPycTjEwk0jkKg0n+jqhyBY4K\nBAJ6eS2K4aeToEzT1AZystCWaUEmpF6vp62JZakq4iPxqgee0Q4Eg0EN5whlUnYXXq9XL4aj0SiD\nwYCDgwMVTDEXjglc4/f7tW9MtVrV1Eav18t4PNY7GID9/X1t4+xyuTg6OqLZbOrdQqPRwOfzkc1m\nSaVSz1AlhQZcrVbZ39+nWq2SyWRYXp6npc1m+j6cTCYcHR2RSCQYj8fkcjnW19c12yaXy5HP57ly\n5YoSkg3Vr6VSKbrdLteuXdMYfSQSIRwOU6vV9AQ4mUz48MMPqTcUEyqVTlJrtOeeOIqGPR6PGQ66\neDw+HHaXhs2EsOD2etRC2e+Zkw/qbGSW6He6OGx2AqEEdsvEhoXLZhBb89Ptdgi5A9iiJm7Djokd\nl2EnFU1SGBa47T1Rn9nRpztos3glyt/59j8lYHficzpYzyzzR/79H8E2g3vv71HJ17h+Y4PCeZFL\nK0k+/7kfImarUrookI7E+Bt/7a8TtXcoHyursHKtQdzrwzYcY5tOcZrgMMCaTphpyvaTXc93ev3b\ngdG/dNP6zTd+lYgvzY/9mZ9k1IVB3yQajuN1u4knA8ymTUZTpeQMR6fEUzYsaiTTHl56+SaB8J+i\n2Wzz5rfe4vT0glg0zXhk0u+NWFxcplpp0G51SSQSuuCEQiFabbVoKpTVe1+9qtJuxG610+ng8/k0\nZUyKk8fjYX19ncFgQLVa1ZFy5+fnzzyYUjTPz8+JRCKauSJGU7IIrFarJJNJdnZ2qNWUp8j164rX\n++1vfxu/38/9+/f5xCc+oaEMUMVNgiFE/HNycszCwoK2H346Ng9U2MXR0RErKyu0222azSY7Ozta\nkCSsm9lsxvb2Nvfu3dNFqtPp4PF4yGaz9Pt9EomEjgwMBAJsbW3xzW9+k0Q0ruES5zztSBSwEgxi\nWRatVou1tTXN9IhEFEdaefa4tXLUMBTlToLIl5eXGY/Hz7htRiIRrd4VrF2UthKEMRgMdNB4MBjU\nC+tqtcry8rJehBYKBbUgHQ30vSI6AoHVgsGghtFsNptWbor/TavVIhaLEY3EKRQKxGIx7c8jnjSN\nRkN/nvF4rJegwowKBAIsLi5yenbM8fEx6XSajY0Njo+P6ff7NBoNVldXiUQiPHjwQMNFEgQzmUz0\nbsdps2vKbrvdJhwO6/u20+lwfn6u8XIR8LlcLlqtlmYGyXvLDqBUKmnVayAQ0O8ljYPAhoK1r6+v\n8+6771KtVllcXOTi4kLnH0SjUZxOJ71ej1KppMVaElK/uLioNByGEm2lUikcdtc8/tI9T9Sa0u51\n9WcEmE5MOr2utucoFovYTTTsKHugRDKmG49IJEKz2dBst8FgQCSqdhbFYhGHqZ7r4XCIac3m6vQI\nPq+b8XjEYNihUi5iWSbbOxtsbKwxGvSo12vkcjnu39+j4U8Ti0Yo5y9wmCZ+w2DcVKybf/grv0I3\nl6f84AGdo1NC4ylLHj9WrUHQshGae+w7/5f/47tnGZtMJaxXP/MxtYF/+y2SqTjWbIbTZbC6skSx\ndIbXA9eu7wCwcWmJSNjLpc01DNuM27dv8dU3TjGwYbM5GA1neDx+Ni9dxuMOcnR0gsftx5yppdrK\nygp+v59C8QLLUrx1j/+JPD8cDutMVBH8XLp0iQcPHuBwOHQKksjKy+Wylrh/4xvf0Nz0VqvFxsYG\noB6cZrOpsWgpUrVaTYc0bG1tUSqVWFxc1IVIMOxEIkE+nyebzXJ+fq4fjmAwyMHBAWtra/T7ffb2\n9tjZ2eb111/X6kprnsG6uLgIKNXqxz/+cV577TV2dnZoNpvcvXuXL37xizx+/FgfCNLlSYpUr9dj\neXmZ5pwS9sorrzAejzk6OqLb7WoRjWmaDLr9Z0y55D1BGXnV63W9RJYiK5TJzc1NBoMBsViURqPB\n8fGxLlxCXU2lUtqoTaYG4dULD12UqWIhUKlUSKfTehIRfrfQNcXXv91ua8bNC8+rhLBisai9ZiQE\nXOin0nWL7/3jx481furz+fD7gvh8Pk5PT2k0GsTjcb3kFS95m82mGxCZNqLRKPv7+xwdHbG5taF5\n73a7nfPzc53Pm8lktL5BdgrymSeTCaurq2QyGWrlihYvJZNJ6vW6vv+uXVOGfOfn57rrl0lqY2MD\nya8FtLBOJhufz8dgMNABObJjejr0RKw+jo+PtQGcWGZLDRJDvmq1qllL4ksk/16322VzZ5v9/X21\nn2ipHUQgFJwfcgahaEQ3ZgDp1CL+YEAfsjabDZdh1ywx2RH5A+pzih//ZDLW+6DJZKKsledU0bXM\nGqBoqv1BD7/fi2lO6XZa+P0+lrKLjEc9RiOVkjWZjgh4PSSSMVZW1G7jvcOHdNsdDh4+UAePw0Xp\nTDlupoIRCgeHhCwH/+Mv/21weCl87RucffiA1ViKynmOVCzOwv/w9797Cn0quWh9/NXvx+YYEEu4\niMQNhqMKufwDIlEvL75wg+eee4HdK88DYE0c3H3vMd/8xm3OT6s4HV769ibj8ZRoNE4oGGM0nAIO\nbIaTTqfHczdfYDAYanFSMpmcqzN7JJNJcvMINqF+DQYDzS4xTZUN+uDBA1wuF81mk2q1ysrKCqFQ\niFKppF0JR6ORTi0Si1ZQYpBEIsH9+/e1X4uIdcTfW0KnZZkr3uivvPIKt27d0ja54lUD6gDJ5XJ8\n9KMfxel08vDhQ87OTlXSlc/H3t4e4XCY5eVlUikFC927dw+Xy8UnP/lJSqUShmEQCoW4e/cuH/nI\nRzS9Uoyxjo+PabfbZLNZrYQVQZbY4Ap33e/3c/fuXbYvbemHWBS/4u/y2c9+lv39fRqNhl6Airuj\ncL03NzcBi3Q6zeHhof4MUohHo5HmaotkX0y8YrEYsVhMO1UKM+T4+Jjt7W0taGs2m6ytrWk2UrVa\npdlsUqvVcM0FbtkldThWKhWm0ymJREKLfyRj9oUXXtAQj91u586dO8/YCN+88TwvvfQSb7zxBvfu\n3cPj8WifIdM0CYVCPPfccxwfH2tYQ6Cbe/fuqQWkHf2d5ZpJQapUKvqwk2vh8Xie8eFPJpOYk6kW\n1gk8JoWvUCiwuLiI3W7XXbbcs3J/y9JUDOXknpcJSuBA+TfEO2c4HOr/CbW4XC7j9Xp1gwRo3yCB\n5Q4ODmg2m1rBK933aDrRTq2NurJ4kESmSCTKeKbgNKEHF/IlLEN5Ogksx2Smk7MkQKfdaWpBnjrM\nR5qEEAqFcHucGvYKuucsvHnoud/vVUKsdhuPx0l6IYlpTrHb4OIix2DQYyGVmE/x83vUP2Jzc5Nw\nOEqz2SSXy9OoqsO0cHZBNpXh6P4RjonFuDHIp0eqAAAgAElEQVTAazr42//4V6E9YHaeo9/qEfoP\nfuy7p9CnUxnrJ/7MT1FtHOP0dHH7e1zajvL8i1u8+OI12t02H9y9z9d/S9nm1MsW0dAl+h0XXleS\nF1/4Hoauxzz//PMUi2W++c1vMehPsEwblUqN6dRkY32T7e0d3nzzTaLRKMvLWWUatn2JcrlMo/UE\nzpG4OvGa2d7exul08vrrr2s/dtM0Ncaby+WeUTEKlW5hYUEzZU5PT1lYWCAUCukbWBSTkUhEszlK\npRLRaJTDw0PC4bDmDotdgWDowncWTvu1a9eesqX16C5xMBiwu7uro/GE2hYMBimVSrpDvLi40F7s\n0gkJFisUvZs3b/LBBx9ofrzb7WZpaUlDR2J+9fjxY8pzb5JUKsXm5uYzsv+VlRU++OADLdNfXFzU\nhcKyLC4uLrhy5Qr7+3tcvnyZUCjEw4cPNTe70+mQTqd1sXo6lk8O8VQqpacGKUTn5+fP+J+LgEkk\n/3KwixGZ0+lUTqnzayGURGH/OByOZzyMRMwldr2invX7gty4cYODgwPOzs60YhmUCnhhYUHbCCh/\nlyeK02KxqOL4ihdks1k2Nze5uLjQYebC4pFdjRifySRTrVY1nDMZKvHTdDolmUzq9KqdnR2Ntedy\nOV5++WXN7rHb7WSzWb72ta9phbboL6LRqD4c5DPs7e1pkZ90wsIYkrxb0QwIvfN3Q0Kj0YhEIqFT\nvcRVVZ4Py6asFux2O+ORuk794WDulBml2qgTi8U0bIplw8SiXq8/uadLFe3DI5PcYNjT8YkAyeQT\nD6TBYMBoPMDlchGNRqkVFbwptOHxeIjLpbQZk/GQarVCKBzAsBTzybSm+HwqE7laKoNhsuzoYtht\neH0BDLuTxeUVLu8q6Pg8V6DbH3ORy1MuVCmcl5j0RxhTGA3GDLsDbBZ86cHD76JCn05Y/+FP/7s4\nnDM2txd55Xuu4/ZaVGsX7O3f5f79h9jwEomoLnYy8tCsTbm0/hw7W88xGpoMbSfk83n29x7g8fhY\nW9ugWChRKlVYW9tgZXmNs7MzTS0MR4Jz97066+vrHJ+qLjaVSjEcDrVMXUZ4MWwSypvgqKJc3NnZ\nYXl5mTfffFMX+OPjY100n46FOzg40BCEdPcy7grOKYsvWYo1m022t7e5ffu2Ho8BXWxXV1c5PDxk\nOp2SSiUZDofs7u5SKpXY39/XkXWhUIjFxUWdPBWPx7ULYSgU4vDwUEMuQrWTZaMsxwqFApZl8dxz\nz+mfYTAY1Nc3mUxSK1e1H00gECAUCmnKqSwGhXYpcEEwGKRareoQlH5fHU7SMYu//mg04id+4ifI\n5/Ocn5/rA6Tb7VIsFvF4PPrwlH2G8N+dTierq6sMBgPi8bi2QpYs11gsRq/XY29vj5OTE1JJ1SGL\n8EhiE2X/IsvqVCqlP4vww8vlsnIDHc+0tYDAEaJQHQ6HxONx7ty5Qzab5ebNm3z1q19lcXERl8vF\n8vKy6v6NJxoDUZ42m01AFd54PK6nQXgicpPEK4fDQa1c0TsOCWjxer1sbW1pH//V1VUqlQp2u52H\nDx8ym830ASkF8MaNG5pfL7RUEVCJlkGubalUotfrkclk2Nzc5O2336bRaGjvpKehGwlPEQKB0Ehl\norh27RqGYfDO7VvaidOcqWdkNBnP07NMXF6PhtcAXE4PvoBfJ4j5/X7SsQT9fp/z8yc5STNzQiqV\nwm63E4vFCAYD+hAyDIPhqK/NCvtddXiKdcTF2TmmOSWTyQBwkTtjcXER05wRCgaxrNk8UnGkD8H6\n7feZmSaLK1lw2Kl26tg86t/bubqL3eNibfMSzWaTfLFAtVzh61//OqvZZew2G/l8ni//xp0/GB69\n8XuHg/8t4EdQBpGHKJfK5vz3/jLwU6jc879oWdZvfqd/Ixr38/kfewm73UmxUOH+/iEffLBHrzui\n1e6xvfUqkUgMu1M9HJ1Ol1DIIBC1c3Rxm6PjY8ZjNVa/9NIrtFsdjo9O8PuDvPrqJwmFQhSLRWLx\nCEdHR4TCAdrtJsVikdXVZSqVksavDw8PMQyDw8PDZxaQmUyGjY0NpXide9VYlqUFRalUikePHul8\nTMkQFU76eDwmHo+zv7+P2+3WOLWM6xLO0OspH4x8Ps/GxgYrKysMh0MuXbrE0dER165dI5/P6/cV\npsZsNtMug+L4eHZ2xr1797Asi2w2q5kQItKJRCLaiExUsSL6AbTQRgoKoK0PPB4PlUqF4+NjfuAH\nfoDpdMpHPvIR7t27R6PRYHl5WWPJAt+srq4CqvMWQzDBX6VAra6uamHPaDTU3HE5MKWbloJVr9f1\nwSRpSG63W7mEzllDopSUZaiEm/f7fba3t5nNZhwfH+ufnVynpaUlphMlbGq32zidTrLZLNFoVEM/\nIv4S7F788gUrH4/HJOIpisUiS0tLmpnytErY4XDwwz/8w/h8Pn7913+d3d1d9vb2+Nmf/Vl+4zd+\nQ3Hh7eowFain2+3qBf/i4qL2mRd4TPYF8v6RSIQr2ztUq1UODw9pNps6kGRzcxOHw8He3h537txh\neXlZkxAODg64fPmyPpgAxYKZC9ZWV1e1PiEQCPDZz36Wvb09Hj16pJO+stkszWaTb33rW/ogkW79\naW8l+Zn6/X7tqJnJZHTwSrPZ1LsJWZpPJ8oJtNPraq8giXKUQl8qVihVynoxXK1WGXX7xONxnSpm\nGAa9fkfbhqj9RRW3262ZS9OZUjoXCgWS8YS+lz0eD8FImGFP6SO8Xi+LmSzd+YLd5/MT9Adxu1pg\n2ZlODJqNOtdf+KM8PHhAd+ohu7xMyzjjweF9AGa+IhNG3D8/xXCYZJcXWL+xwvaLX+Tw4CHHx4dM\nn3ouv9PrXzUc/AeB37Esa2oYxt8EsFQ4+C7wT4CPABngt4Bty7J+3yiU7csL1i/+8heoVfscPCjg\ncMSwE8XvS+H3xTHsLpxOO/XW3JrXD6trKWrtPPnCKbFYiEvZV3j48IBut6tvjOFwrJepsvnf3b1M\nqVSi3W5z5coO/X5fYY7qeda+J2K/GwwGdceWz+fpdDosLi6SyWSwLIvT01NyuRyRSITPfOYznJ2d\nadz9xo0b+ib++te/zmAwUH7Zc7paLpfj5OREd81er1cHYK+srJDP5/UyLRgMsrq6SrPZ5M6dOxrj\njcfjZDIZPv7xj9Nut8nlcrz//nu6O+10OsTjcXK5HHa7nY9+9KM8fPhQB403Gg3t4S5dnhSp09NT\ntra2NNslHo9TLBZZW1vTyza3283HP/5x7t+/z9WrV7HZbNy/f59auUosFtPyfmHZANpS+dVXX+WD\nDz7Q/vnT6ZSlpSXdAdZqCnZYXV3VS2mXy8X6+joOh4M333xTWz8Amn4oGCugqZWy6AM1tR0fH+uf\nr2EY7O3t4fV6qVQqXLlyBZfLxc7ODvf3ldRdfHLi8TjJZFIXc5fLxTvvvKOLsIjH0um0hlMq5Zr+\nNYHdhBLq8/m0GlVBiqrIXlxcaPpiPB7nY9/zUUxTqTkTiQQOh4PT01PNkBI6rlwLeW/5OUWjURaS\nCs7KZDIkk0mKxSKHh4eMx2NdjDc2NigUCtqDaDAYcHp6yvr6up4oms2m3tmIFfFsNuPq1aua5jub\nzfQCW6ZeYQCB6t4rlQqFQkHvhOQgXlhY4OzsTE+h8XhcL37r9TrlmmLs2Gw2xqMp5+fnNNuteTdt\n0BsOtBIcIByK0mg1KZfLel+1d+cDDQ+JBfZg2GNpaYl+v68h0KWlJX2t+wM1Sfl8PiolZZUhqmWZ\nQoe9oZ4OnU4n07FSCkciETzzHZRMpkHvGucXObr9NluXL9Hs1CnVlJ/QYNRhYg5oNItsbCzRadfI\nLMQxjDEfeel5rNmU9EKSV278J//6gkd+1+/9CeBPWZb14/NuHsuyfnH+e78J/HXLst76/d5/cSlo\n/YX/7PuYTVzkz9uEQytc2/0YluUDw4vfF+Y8f4LPr4pmYiFIs52nXD/DtHpYTDB7KXZ3d2m1WpqH\nLGPktWvqY9frVYLBIEdHRzx4sM/S0pJWDJqojiUWi3F2dka/39f0rt3dXe2w+PjxYx3CIT4hEucm\n0MRLL73EYDDQoduAxvkePXrE0dGRlsJLLF88HqfX65HNZjk8PNSFo1wus7GxQbFY1KHQ6+vrGuO9\nuLjQtMR6vc6lS5colYoMh0OWl5ep1Wp6MjFNk3w+r10QxaVRsNdkMslkMtH4v+DfTqfi/ReLRY3t\n3r9/n3Q6rQ8T6R7T6TRnZ2e8f/s9zUOXuD8pFK+88goXFxd6kSt0SVAL1a2tLQzDYH9/T3O9RR15\ncHDAjRs3ODk50cVIipt0roIZTyYTnVAkMJJoCKRjNQxDf4fv/d7vZTAYkEwmef311xmNRtSqZX0t\nJCDd7/drKqBkyyrILEU8Huf09JRLly4RjUYpFAocPDrUP8t0Oq2nR1Ad4XvvvcfLL7+s6ad+v5/z\n83M2Njb09FYoXhAMBsnlcmxtbeHz+fRkJn9evuP82SMSiTAeK5vfcDhMIhrTwSPCbFlfX6dcLlMo\nFBgOh3z605/GMAzefvttbRIn31t+RpLHK/urYDCom6ClpSW9Rzk6OsKyLJ1NcHR0xGQy0YZzsiMS\nh1BhownHX5xW4/G43o14vV48fp82eRuPpkqLgsXly5eZTmdMLVMzhEClMbW7HR2M02g08Dndmkgh\nLqqVaolsNst0OuXy5cs8eHCf8XisLTW8PnWYFgoFhNw0m0y19kDl6M5gnn3dbrdJpxdxO5XWIRpV\n/jzlYlktrJNp3G43udwZ0WiY4ahLJqPujTvvfRsY0+82qZWLZBeSTEd94qEQzWqFne1NfD4vf+kv\n/8//xiwQfhL4p/P/XgLefur3JBz8X3oZT2XGJhJRru38COPxlPXlGaFQApfLx/lFkfOzRwxGQzVG\nz4txtw/NVp9KqUc0HsXlclDrdPjwg30MQ9GpAoEAhaLqikqlEmdnJ5oz3Wo1WFtb0115r9fj6ESx\nbh48eKADKZLJpL7h3n//fSXL7z/B6Z4O5xWvlxdffJF79+5pcyx5mabJ6emp9lgR7q5AAuPxWHdX\nYpxVLBZZWVnBsizW19ex2Wy43W4eP36sjbxCoRDPP/88d+7cYX19XQuWZAIR+OL8/Fx31rFYTEvg\nE4kEBwcH9Pt9KpWKlqcD2i1QjLSephdKBGGhUMDhcLC+vq7sZ+cc8ng8ro22vud7vgen06lFXq+9\n9pqOmBN+u0To+Xw+3nnnHWq1Gs89d1NPKe12m+PjY65du0YwGNTiML/fz2uvvQagU54ymYw2t7py\n5QqPHj3SS+FvfetbgOpKNzc38Xg8FItFrl+/zv37amwW3vmP/uiP8i++8s/VjZzLabqhHMxS4CKR\nCKFQiKtXr/L6669jGAaJRIJ79+7RarXIZrP0ej3tgxMOh5/RQTz//POYpsmdO3f42Mc+RqFQYHd3\nVx/mwWCQStXB4eGhhghDoZBeOosFw4//+I/za7/2a4BqLCqVCuFwmIWFBVqtljazkw6/Uqnw6NEj\nDMPgxo0bmKbJhx9+qKfHs7MzDMMgnU6Tz+efmR4CgQDXr1/XHXogECCbzVKpVLSdQiKRIJPJ8P77\n72sCgFBf5fl6Gm4aDAZsbm5qPYg4kQrbSZ4juS61Wg2nw81oNCIUCfPhhx8ymUzxBZVtt0zTBnYN\nB8qCPOjx6TQxSWUT6i2oyX51dZV8Ps/JyYm6Jxxq4lC2JIZ+Rux2O5PZlHF3jN2uLLKHnQ6GoUgO\nwWCQyWiiWWk3n39OHYzeBse5C9rdNs2BCslxN9Rz/fwL13BgYE4t2tU650cnOLwJ2uU28dA2R3tN\nhv3S71Vaf8/X/6eO3jCMnwNeAv6kZVmWYRh/F3jLsqz/df77/wD4vyzL+j9/v/dfX9+0fumX/jsG\ngw7F0jmtdoWJpSx7I7Ew7777Lksry8zmsaNXdm+wsb7Fnbv3KZerZBaXcNuU50h/IB4XFm6Pc24b\nPNRYnNxkopwUH5HhWF2HUqnEiy++yM2bN2k0Gnz5y1/Wyyun08n6+roW9QgsMZ1O9TJTlqr9fl8H\nXQO6mxQbYVlIyVIpnU7rxZvkbkr387SFsHh+C6MgnU6Ty+W0EtLr9bKyskw0GuXi4kKP0hLvdnp6\nyvb2thaCSPcrPHdheQAa0vljf+yPcXp6qo21Tk9PmU6n/PAP/7BetvV6PQaDAcvLyzx69Ijnrt/k\n/v37hEIhveB+/Pixft98Pq9u+ps3OTk5wW5XYp5KpaIdEJeXs+RyOe3a6Ha7WVhYIBgMcnx8TLlc\nxmaz6Y4wlUppd89arUa5XNYPvBiMCcXu7OxM4/WRSIQbN25od8lOp8M777yj+P/zjr7ZbGpjM5fL\nxdLSEi+//DK7u7v0+33eeOMNHj16pIO+o9EouVyO7e1tBv2RPiBcLhf379/X6V+f+cxnqFQqvPba\naxoK6XSUxe7Nmzc5PT2lUqnw2T/yg3zjG9+gVCrpqafdbnN+fk6v12N3d5dPfvKTnJ6eAspVUcRR\nCwsLrK6ukojGuHv3LgcHB8xmM+3Bf3x8TKvVYmVl5RkltlAoB4MBhUJBT6zyd3d3d9nZ2aHVavH4\n8WNKpZJm2vR6PT0BPm3NLOKjdrtNMBhkZWVFT3qSgfu0AG1jY0Nbacvv1VtNnV/c7SiYBZsxh2ht\n2Jzq2ZDaNptaTGZTDaWZpsls+CTO0+fzKdhl1Ne+UpZlEYtF9YQrHb3NZpuz657AhfJ5AWzYtdq6\n1+4RjUbV93a4uMjlNPTjdrsZhWqMhyNME1rNDt1un3hE7cdcDg+FXJloKEIqscioO8LlcNNv9ei2\nuhQLZZKJBH/vH/33/3qhG8Mwvgj8NPB9lmX157/2rwTdrKxsWT/zM79ArV6g1S4xpYvNMSIYcpFc\niONyq2ADp1MZQ+1euQmWm9x5menEoD8YMe4rJd10Np6LMRbo9TuUSgVsNhuNRoNAIKC93dvtNoVC\nSYd09AZqcRMOhzX7IxaLaQaBigSLaRqh/P7Ozg52u518Ps/Z2Zla1MyTfmSRCGiVpGSVyjIwlUrp\n8X80GuHz+Tg6OtLFLZlM0mg0qFarGgLJZDIaXhE/cJF8q07I1EZUhmHowi3L4cXFRQ4ODjAMg6Wl\nJZaWljg+Pta7CcH/Ly4utMvlzs6OFobJ+J9IJCiXy9y4cYNiscidO3d45ZVX1EEVipBKpTg4OMDp\ndHJ6evpMZuwLL7ygBTpCY93c3GQ0GnHv3r151J9P861lmepyudjc3MRms3FwcKDjEEF5sItLJagd\ng/ysJ5MJzWaTRCJBs9nU+5OHDx9y6dIlAoEAtVoNn8/HycmJfs+TY2VhIUlcsrt52m74xo0bNBoN\nHj58qGm129vb1Ot1Dg8PsUzVFR8dHWkrCMHob968qWmdIox79dVXNaPl0aNHTKdTlleWyGazzGYz\n3n77bV1c2u22xr89Ho/usJvNJjdv3iQQCHBycqKYQh6vNlQrl8tks1mt3bDmcYPxeJxaraZ3O5Lv\nG4/Hn0kCy2Qy2gk1n8/rQHDLsrTqW8Rsp6enWJaldxvSYAlzTa610JM7nY42zbt27RqNRoPz83Mt\n1ApGwmxvb5PJZCjkSxSLRWqN+vw56jKeTfVnA3A63Mred07lDAQCNMpVDS0tLi6q4qsbQ9WshUJB\nTfdsNpvYHYZe3LbbahEqZA2bzcbKygqBQIh+t4dpmiwsLBDwBvTCttvt4nF5NGRqdynVdja7Qq3e\n4NatWwyHqg6FghFa3R5+X4h+f8hydpWNjUucnChBlYGdZr3Or/zSL//rg24Mw/gs8F8An5IiP399\nCfjfDMP4JdQydgv49nd6v5k5odWv0xv3MFwOEpFFbPYZg2Gb/EWDQMBHsdAkmVZQycnJCYVCBb8v\nQCaTpd1VOZcPHz7k0uY6m5ubPHhwn1q9QjIZn+OLS/R6qoiNx8rv3W5zsrG+ycrKKtWGghW2trbw\neDy89dZblEolcrkc0+mUer3OzZs3deFfXl6m1+vxxhtvaLhCaISSjykjNaAXxDabjeNjJWeXm0is\nhhcXFzk8PFSf7anoO8HxZSEqnjCALqDhcFjDSV6vRy8/Jc9UVJORSETz3uPxuI6SEx+da9eu8cYb\nbwBowc/q6ionJydawTuZTGi1WqTTaQWRFQral10+U8Nf5969e5RKpXmwtJ3PfU7FNYrN7e3bt5lO\np+TzedbX1/F4PNy6dUsnN1WrFb1cFcxVhE1CHwwGgxoSKhaLmoMtfGfh1Q+HQ5LJJF/4whd45513\n2N/fJ5lM8slPflIfRFIIxE9mNBrp/Y4EXQvklEqlNOvnK1/5Ch6Ph93dXc1g+q3f+i2i0ehc+JTQ\nXeJkMiGbzeou9uLiQts9m6ZJtVrla1/7ms56zWazOuC70WjgcDhYWVnRSlphTwksIgtI8d6ZTCba\nTsDjdGmyQiaT4dVXX6XZbGqm1tra2jPTnahak8mk3hOBOqhPTk40tBeJRLRI8MGDBwSDQe2/I2E4\nkgksk6Q4fUoOLygGmcvl0rTeUqnEb//2b9Pv98lkMnz6059mYWGBX//yl3jrrbdYW1tjZXmN9fV1\nimUlirt27RoHR4fPJIO5nB5Gk7G2d/Z4lPfN6uqqnqyOjo4wrSnZbFYLviaTiYZqptMpbo9T77Ne\nePkFQEFk9+/fp1mrz/+eRb3ZoN/taQX50sIilUqJeDxOoVBSDDMbvLjyPEdHR5zVSyTTSZ679BEG\nY8U+G5lTDCvP4tICx2cnlFs56vdKlKsKUtrY2sDf+06V9cnrXzUc/C+jorhF1/62ZVk/Pf/zP4fC\n7afAz1iW9ZXv9CGyKyvWf/Xf/M155mNj3p2K+q1PtVomEg0RmocT+3xuorEwLpedyXSEz+ehUVLb\nbX/ASygUZDQecHp6jN1uZ3f3Mqenp9jtCrObzSwm4xmmaYGlEmdOcicA+iaULFExi4rH43rhJLic\n+IMLxa3f77O0tKT/viyfQG3nDw4OuHnzpo50kyJZLBax2Ww6YFoWbGIlLOlKHo+HVkuxC6RzE664\njLcqt1N50Y9GI3K5HDabbR4cMdN/7vLly5ppI8wDh8NBoVAgl8sBqtt89913dcDEYDCgVqtx86aC\nZbxer54y+v2+nixisRh2bNpg7Z133uGP//E/rpWKjUaDx48fk8lkyOfzLCws6ANLwkFeeeUVCoU8\nsVhMw1kA2WwWQFtR7OzscHh4qH92hmHoSMDJZKIXmOKRHo1GtfxfrH0lfFtYK9IN7u7uanqlLN6F\naVOpVLSCMxQKUSgUuH79+pyt4eXx48dEIhG2trbY2txhb29PLwKfLm7CBpN833K5rDvITCbDpz71\nKdrtNvf2PsBut2tfICnegE6nSqVSehkrqV2GYeh0JpuFNqDz+Xysr6+zv79PrVZja2uLYrHIeDym\nXq9rL5xMJqPFXNK0BINBrQk4PDzUFsytVks/F51OR8cQisW2HMrdbhfLsp6xrJBrMZlMuHz5sjas\nk11DtVrVMYihaIRsNovb7eb2rfcUrXaOyz9+fIjD7XpmmvZ5A/SH6t4VgVwmmdZki+FwyKNHjzCt\nqfYBcrvddLsdbYQn0I3c68GI0hSIFUe73SaTXtAeRXbDRi6X01OaNZ1pX6FSqaQyAIKXee+99xiM\nB6ytrxCOBnHNCScmM0q1PKPZkKs3r3CaP2X/wR4Ly2mm5oThcMCl7S3+4ud//g+mo7cs68d+j1/+\nB7/Pn/8F4Be+0/s+/bI5LPxxk0F/zKBYo9XpY5lOJtMpWHZWVzapNyrYbQqCSKcXSaZCYA1ptSb4\nfDbadjvdXptQOKDZFul0mmQyrh9w04Rut0+v22U6nWEzHIxGE7rdvhaDWPMM0EAgoDm8AjGIhYDc\nqNJlS9f08ssv43A4ODs707xiefDi8TiWZRGNRvUytFarUa/XtRfJ/v4+BwcHOnxZkpZENi7KQWF8\nAFq4EovFNPzyyiuv6Ig/8fcIBoN68Suc+aeXrsImuH37tj5E3nzzTUajkU4YEsbOV7/6VSaTCWtr\naxiGwfvvv68ThEqlEvl8Hp/bq7nzlmXxpS99SY/Su7u72Gw2TR09OjrShmASNP7hhx8Si0W1SGsy\nmVAsFrVyV6YC8eEBtI99r9ejVqvpTNJUKkUsFtOqWK/XSz6f5+WXX+aNN97Qrpg+n09bD1iWxfXr\n1zl8/Ah44hIqPPmVlRUuX75MIpHg7t277O7uajinXq/ziU98QouJbt26pe+fXq9HLBbTnWSn0+Hq\n1ascHR1Rq9Xw+/38uT/35zg6OuLb3/423/zmN8lkMjq6T67T4uIin/rUp2i1Wvr9xUESYHl5WR9O\nqVSKarVKNBTm3r171Go1PTU2Gg1arRbNpsK9c7mcEhSGw1ogJoeFXOenJxvLsohEIgwGA4LBIOl0\nmuPjY7rdrhYfCXSxtLREPB7XJnIyEch9IcX/7OxMp3iJtYYI5oRZJAvpxcVFFb3ZUiHm169f5/0P\n7urMAZiH/9gMbbInBAyxQ5G0scVMGsMwOD4+1lm8kkbmdrv1IrjRaDCZT9R+X1CneY2mKgyk1Wop\nU0OfB7vdYDxWQsh8Icfa2hrlioXP7+HhxUNsIRvuqZtSu0RtVCMSUSy9UNhPNB6jUMrjNJykY2kG\n2T5rG+uUKkWO68ecPzz7f1xj/61Qxi6vZ6yf+S//YyrlOtVyA7vNg9PhZTY2mU0NfB4vjw8esrau\nurmNjVX8XifBkIfRuM90OsZpS+HxeHj48AGPDx8RiUiEnKkVdqap4srMGWDZmUxm1GoNatUGwZg6\nRNrtNgsLyg5ZAqUzmQw+n49qtcrq6irZbPaZBZ9lWZpTL14aouwTfHxhYYGFhQUtkRdGxGg0Ip/P\na8m8KDCle1Tfd0M/4EJXFOhGWEDCcvH7/YxGSg0qB4100mrBuax507I4k8WdsI1u3LgBqC72y1/+\nsl5aCY8/FAppe2KBg4SNI8Ul5FfsnszdUZMAACAASURBVPfee4//m703DY7kPM8En8zKuu9CoQqo\nQlXhqm400DebZDePJiWSooczkqigxI3wKWscY1uxu94f9oZXuzGr3R2Hd+y1ZW7YM2t5Zj1jy0Gt\nbEumLMmmJJMU3Ty6yb670UDjRqFQQF2o+8rKzP3x5fui0KIk2rOzIU0oIxDdDaBRiazM93u/532O\nTCbDDy4gitvY2Bg2TQMnorlR7uj6+jomJibQaNRx7NgxtmEgdhAlQRErgzo3VVW5WFH3abVacfPm\nTczMzODUqVOcobu3t4dcLoehoSFkMhl2Dz1y5Ajz6jVNQzQi2B4EBZH0npqJzc1NpFIppjwqioJL\nly6xT1AsFsNOLs8WC/l8HolEgqGFW7duYWZmBkNDQ1hZWcH29ja/R9QNHj58GPVGlUNEPB4Pd9w0\nl1leXsbw8DAPICkicXFxEalUStBo/UIgF4/H4XA4sLm5iY2NDayurvIuc319HQB4zkTzA9KjAOCQ\nFVmWkc/neZE4ceIESqUShoeHkc/nUSqVWBPR7/dhGAbS6TQ7fJJwjO5zsn/o9XqsQ7BYLEilUrh9\n+zYPReumP5XNZoPWN1Cv12G128y83h5sTgc3bADgsLvQ6XVZqKVpGlrVOj+f5Eo7HBEaCdr9KYqF\nQ3fcbjcUq8wZv01T4JdIJASzrS8WBK/LbfoPCShpeCiMQ4fTaDabuHPrNmKxGLrdLqamJjC/KdxG\nC7ti3hYbicNhNQWWHRVWWUEkHEWpuId+X0ejVjezmIXBW7fbxb/8n/+X99XRWz772c/+oO/5z378\n9u/+1menjyZRqQhPEsViQb/fg9bvwWa3oFIpYWpyHOFwEF6vG71OC9FoBLJsweKduzA0GcFglMOM\nHU47fD4vFEXcQALO8KNUKmNtbR2ZTBbFQgnNpsDpvV4vYokoZ4iS+KHf78Pj8fD2jIoxFWTqmkmK\nT53L8PAwKpUK6vU6QzGlUolZP16vl4sEScepkLK1ar/Pocx009tsNhZ7xeNxOJ1OFItFjI2NiVxN\nEwP2eDyYmJjAxMQEOp0Owxk0BFtcXOTEIGLTTE5OIp1Osz+Mrus8RyA/dbvdzg6bRFOLxWJIpVIo\nlUro9XqYmZkRLI2soKUNipzI0lYkCJWYcUSCM1J3ejwenDlzBi6Xk+EmEnkRPi9JEkZHR+H1enH4\n8GEWohHr5ejRo2wzTapmm82GcrnMistMJsOCHlqQfT4faxO63S6sioXnCE6nEzMzM2aMnbCmnZiY\n4Ne5efMm8vk8DMNgozEhettnfIiYxQ4Xt/HxcS4sJMgqFosYHx9nFXKpVMLs7BGkUim0Wi3s7u7C\nZrMxnEb2FPSapA247777uBHY2tpCODTEecTkvHnq1CkWbNE9Ophf6/EISMRut7NdNA3jI5EIX2fq\nfEm/QloT6qDJsIz8ioiAQLAO7YSIIkud//q6oEUTuWFvbw9ur4dhoHJZWGTHx+Lm7rqPYrnEUY1i\nt6pAkiWuN7IswyLJbI1Nw3W132NLZvpct9vlnbFu7FtZaOauMpFIiJlLXyie69UaDEPjHf32dhZO\npxMbGxvwed1wuZxotZpYWFiAFm4C1i40RYV/yA27y4rM1gYqDeEqGhsdQ7epwmpxwusIwGHxIzY0\njspuC5a+C9PJWfzFX7+Y++xnP/v5H1Rjfzg6+lTC+Omf/2kA4O0eSbTHxsZYlUhME0VREAqFOAJP\n5KOGMDU1xSt5p9PBjRs32I+83++ziIbokrFYjCX4uiRwQnpT+32RgUnQSDAYYmaM2+1Gq9nhh8rl\ncomg46kE0/dqNRH8TYOtRCKBxx57DPl8Hqurq7h58yabS1WrVR6Kliv1A8ZpgNjSlstlNsvyer3s\n+EcPz2BgRzgYQrFYxMmTJ9HtdpkqR9F7iqJgdHSUIRxS/u3t7WFsbAyhkAjTJgHV4uIic+KJjra+\nvg673c70uWQyiZ2dHRw6dMj8WRV2jyS7BBqoUvdPalcqEqOjo0gmk7zTmDl0iOGsQqHADqKzs7Ow\nWq38ceqUcDW9cuUKFhcX2ZFydnYWtxbvcMbsxz72MXQ6HXNeI+6xmZkZXL16FdFoFEtLS7BYLDh1\n6hTL/J3KQcMtGpYPSv+pkYhGo8jlcty10SIybFJgVVXlxYbuC2okGo0GD9QXFhZw8uRJhley2SwM\nXcXx48cxPz/PO5mWCRNQTi7xwQHBSacGgUJPirt5VnlPTk7C4/FgaGgIV69eZaowYeiU8Xrfffch\nlUoxpAiAoTG73Y6pqSmEQiF2/aQGqNPp8Pwin88jk8mIGYjaYux+amrKZJmtAxCZsYJ44ILX60W1\nWoUEC9t2l8tlDA8Pw+Pzsg0xZRNTxkNiLMXmcJomapuqqkx5pMD2Xq/DxZygUrJPIByfmqmNjQ1s\nb2+zI2ylUoHTIa5zv9/H1PQEfD4f71ADAR8H3oh7XeIFkHYQ7U4LHqdQLu/uCqEWsacAMfyfn5/n\nhiYYDPJCTA1NMBjEf/vp/+FHp6P/nd/5nc8+cO4Bxp9JCEJe4dlslt3uBgOtCSsX+GsEXq8XpVIJ\nKysrWFlZQa1WYyzV4XBgamoKs7OzbIVKNLeRkRH0dWH8FA6HMTQ0BItF4Q6CbHOJoSDySj3sWEn8\n57XVJQ5gIGjB5XIxzry8vIyNjQ2sra0xlSwUCmFoaIjpcnuVGiczkdUr8f5pJxEOh3nwSMHN0WgU\nwWBQwCmQ+HfLZrOCFWD6YkiSBE3TkEwmIUkSy+gJahK8YDskSUImk2EaZj4v+OQUqEGuf4T/0qCa\nsOdqtcYDNRoY03tHXiWDaVdnz55FOp1mlkY4HEYhn8fQ0BA7fNJrBoNBNpM6f/483nzzTeRyOei6\njlBIcMXtdjuy2SxgkdmGmaCRQCCAa9euoVgUFLtIJMKiMOo2fT4fnn/+eTRrgmbYbreRTCYRDoex\nuLiIvb09xONxBINBpFIp6LouqJSGgdnZWbavKJVKsNntXEx2d3fZt518hSi8nQb67XYbJ0+eZHaL\n1+vFY+cfxdGjRxkyEiEbKnfbmqahUCiwhxBBLqQZcLlc8JtiuOXlZezt7UGWZcTjcRw5cgR+v5/T\npAh/Hx4eFupgc/dlGPsURRoAF4tFYQ/QavGzS/MXu91uwqeCnWK326H2e8xkyefzZuOxH+aTTqdh\nte4LEVW1fyCEvd/vw2a3IZfLoVQqoVarH4AMJUn464iirnKtoFkAFd+9vTLvsgg+GvwYGhri2YWi\nKAy9AjAFWzor2z0eN895wuEwRkdj8HoF0cLv9yOVSrL1+c7ODqxWK9LTaQTMhZ2QA8oxdrlcOHz4\nMIeukB6HTOjoQ1EUfONr335fHf0PRZSgpmssoV9aWuILRjcJcY8HgyyI+uXz+ZBMJmG1Kshms1hb\nW0O9XketVuMLQ2/azs4ObyMJiyPf+Y4qBBC03aTBGi0m9HO9Xi9OnToFn1eEG2xubjJWTzcCsXE2\nNja4c6OhErFnjhw5gmaziUgkAl3XcevWLWQyGaiaoAlSYR6M2aNFadBgiqiINECTZRkjwxGUSiXG\nkqmboaAOj8fDwzWCgQgXpusGgH3R7XY7KpUKTp06hUqlgs3NTbZzpbg+wrgvX76MQqEAu93BA0Gi\n/dF5E72N1JK0WPZ6Pfb+sdvt2DVTngiWmJ6exvDwMJuuUdQdCXnoGs3NzaHfFwXC6xe20ET93Cns\nwON0we1wMl1wdWkZlVJZqF09+9TAr730Vfg8++yKGzduoNfrcQrY1tYWW0eHQiFomoaVlRX2FfJ4\nPAgEAgiEQhzgoqrCIZGUnpQMRgHbsixjenqaw23o97h48SIuXrzIi7TL5cLy8jIPGL1eLxKJBDOm\nSAy3ubnJ1y8cDCEej7P99fb2Nl566SWcO3cOsiyzVbZhGDzYXllZQS6XQzweZ2dGmvuQAyUJ5mgI\nSQPreDyOiYkJFItFtNttAdWoDsbwaabR64kZksfjweXLl5FIpFhgZlWEboXYTpVKBeXKHp9jrVbn\nQB+Xy4VoNMraD5pjkcEbzb5omK6qKu/KyJ+K7v1SqYR2u22iBUO8mFLRL5dE4+NyudCot1DeKx4I\nnzcMjS3Mc7ksXyuqOUtLS5hIJXkHQTAvPSMEtZINMjHcdnd3OUeAbZjfx/HjcPAfHz8+fnz8+Pgv\n/Pih6OhlWWazLBInka0A4W2EXQFgURKtwCLAQHQFpGalIWe1WsXLL7/MNsCEf5PU2e/3C8rjsBBC\nlMtlXLt2Db1en7dabrcbu7t55pqTaIcwaMLNVpcXEYlEMDc3h6HQMHzeHBp1wa5w2F2wWR2o9sRw\nMJkYRyaTwfraJvL5PCRJwtRkGl2zg6OBHVEOAbCIapCRo2kaWq0Wq3KbzSYqpTIzHgizpRkAKQ6z\n2SybR1GIdbFYNHc+wvfn8OHDUBSxUyoWi/x/dnd3kUgk2MOcFMPpdBpLS0umOCnCKlxVVRnKAPZ9\ngSiZijBe8q4nVgc5hxJtlKio169fh8PhYByUdn6XL1/G5OQkJiYm8PLLLyOdTqPVauH+++/H9evX\nMTo6ihMnTmB7e3u/2w4EkEwmkUgksLGxgRs3bjB02Gq1oPdFVxgIBBCPx1Gr1bCxsQGbzYbjx48z\nXZIMwgDRmR45cgR//dd/jXA4jA1T/UtBJ+vr61hYWAAAxGIxxONxnjn1ej3IsszdOomeZElnuOTa\ntWs8pCfLhGQyCafTiUuXhD5xYmKCh9WRSAT5fB7bmS123SSvoOXlZbz77ruQJIlnULIsM4RDxmYk\nigNETkE8Hke322VLX7qviD9P1EWiI5P3zWR6HIVCASdOnBDZq4qC0VFhh0UWEhT8Y7fbYbc5YRgG\nz+MoAYrEWNQR02suLy8jGo3yrh/Y7+h1XR+wEwH7IREjiDx8SP1OGhGCqAjGIegKAAvret0+JFk6\nkNNLVGox0K3wDIJsIIhpRnDRoPvo5uYms46IMktsMQC8e3i/xw9FoSdOORUr8hIhDwralpEqjW7g\nTqeDcrlsbleFbwnZgLpcLhw/fhyjo6PIZDJsBEa4ervdZspiKBRiWlm32zWzRr38veIhEgyKSqWC\nO3fuQLHYGHelhz8YDCIajbK/eT6fZ8iArAxosHrhwgWmZZbLZUSjUSEOMdOcyFudEnkI13a73fx7\nAsCdO3c47GPQg97pdDILh7bj0WgUMzMzvDARe4KcEOkh6nbFzUY3IJlKra6uIp/Pw+v18jB2cPic\nz+cZRydXQhoeUxEDwAvL3NwcwuGw4BabQqFwOMyDwenpaSwuLuLxxx/H8vIyjh8/jrfffpu35XNz\nc7h58yYXoOnpac5Jffrpp7GysgKb1QoZEsKhIUyOizD30egInnrqKXzlK18RFDurDct3l3Dt2jXE\nYjEk4mNYWFhgiI/uCwquINuFZrPJLpzkq14ulzE/P4+TJ0+i3+/jwx/+ML78V3/F0npSQdMsAwCW\nl5eRSqUwMjKCxcVFFAoFpi9S4Izaa7PBGIVka5qG7e1tVldbLBaGtShqcHp6GlevXuUBKcXi0WCT\nCtHMzAx0XUcul2MhGUFKZClMhZOG5ZQ8RkyxQSGUpmkol8vsI0+uoIvLwvWU8oc7nQ7W1tb4GSFD\nPJo5dNoix6HRaKDT6QgLjmqFxWBEWiAFb18VAS1OpxMmlwGtVmtgQKuZsOh+4AwAxuoJdm00GmxL\nQT5RNBdrtVpoNqoHahip0zVd5B9Eo1H4fB6muWazCvL5HZ5VEWRHUA1BqkSFpsGwy+XiZCyXy2Xa\nLIjnl8gp7+f4oSj01KWKJPUwp7UTZkgYFXGjKVIMABfLcHiIV2eiR96+fRulUokl6wsLC9je3uai\nSTLyQqGAWCLG55NIJBAIhJgqJzqrHq++/X4fNquDg8EJkyThhMVi4RWa5grE9iGuei6Xw9jYGPus\n+P1+VlWGw2GEQiHGFekmdblcWFtbY/9vQAyGaHWnQfBEMsWunVarFTMzMxgbG0Mul+OCPhjhRt0T\nDb5N/QpbJ1MYCtkRkIyc+NWEvxP+TC6hYiaim6ykImPpNpsVTqcDW1sZrK6uoNlscCfjcAShqj14\nPG68femiWCwsMmKxGCq1KiBL2KtU4Av44Q8GEB0d4UV6Kj2N6OiIGMQ36giEgrg7fweNWk144JdK\nSKVSaDQa+Obf/i08Jv1xN5dDNBpFypwpdFotWC0WxEZGkCsILHZiahIOlxO+gJiDLC4u4sq1q5ie\nnsZuIY8zZwTx4eTpU7hw4QKWV1dgsViwtLIMXdfg8bjh98fQ6/Vw9+5dHm4PDQ0hnZ42KadFGIYO\nwEC9XjOtNsbg9XowN3sGr732GhYWFnDq1CkEAgHU63UewFJQPTlwXr16FTdu3ODn5ujRo7h1/Ybp\n8ZTDxsYGu472ej1ks1kkk0lenJ1OJ+9WaMdBBZmG1zSkN8y8BxIWklMk2Q7TrsBmsyESEfOj48eP\nw+PxmHRm0cARn5/mU6VSCRZZ2H5QLCbtUu12u0lV7bKXUTQahdfjZ0U6NRa1Wo0XT5p5uFyOA8W1\n0+lwx1+v12G1Wvn3IqomNXb0b3quaffp8/lEo6hIpkV3D7mcyDoW7p5JdDotvtddLrdZz1R0uz04\nnS7Y7aIkC7sUC1wuN/p9zXxe7XC53OYOxQNN0993jf2hYN38wb/5g8/+0w//U/YNl2WZGRp2u52d\nJkmEUqvVeJBH6rz5+XkuiOl0GuFwmI2hqPuqVqsmY8bNbolkj+swRRY0oNM0nR0n7XY7/P4Ax8QB\nQKslbIaJ3jk1NYVyqcgJQhRmbbVa0e/3MTo6imPHjqHdbsPj8bAghTqx6elpnDhxAtlcjvnzdJMR\nVZPCnon/TZxwirUjS+G//87riMfjmJubYxXgyorwRD958iTT4GgoSv49woKixFthMnCy2WywWq04\nfvw4RkZG2IN/cHhLndyg/77FYkGr1UKj0YDL5WLpPb2HZDZHvws9kOTYSDsZOjfi69OOxuPxYHFx\nEWNjY+z3srq6ykHknU4HZx94ALu7u0wnpNdqNptoNBrsf07Mi83NTdRqNVZjuk1K3TvvvMMLNWXD\nAqIYxeNxvncIniL6brFYZE3C5uYmu3zW63WG3agZKBaLTHms1Wrsu9NoNBAK7vvviPuvhRMnTjAT\njPQUpVIJkiRxk0GOkJqmYenuXRQKBQwPD3PMJLFvCLYhJayu60wJBMDCITJ229jYQKVSYQdMMmCj\nXTi9BwSLBAIBjI+P49xDZ9mfnnadsiy6c8ohEAXOZbKtghgbG8PY2BhHIyZTKd7ND6aT2e12bG5m\n4HQ6Tc3GPlOPdmL7wj2DmzIabhLdmOiy1IDRbozgo2q1itGREWbUUWYD1S+nwwWn04GNjQ2oah9e\nr4AJBczch93uwPBwBE6HnaFZSkQj4gTtjigMiMSStIurVquQJAnfefXNHx3WjWJRGD6wWq2c+LKz\ns8PBGeSGB+xjbuFwmLty8tCuVqu4cuUKIpEIotEoc3lJgEQFh4oaCTRo9ScLVofDxQtMvV6HrhvM\n8mk2m6iqdU6mJ7aP3u9hYmICzWYLtZpQf5IplizLyGa3cerUaRGUoOsoFIqwWIT8+saNm8JhsVo5\nwM0Oh8NIJBIsMiJdANkUUD6p3W5HqVTC4uIiDh8+zDQ38uyh4k0URACM/9E1VlVV+NRYBP5fLpch\nyzImJydx+/Zt5HI5XnhI2ERwQKVSYVEZzVhGRkb4uh4/fpyx9LW1NbaLJbMwoqLabDamB+7t7WFq\nagrZbBbhcBjvvPMOC9Y6nQ5ee+01ZoIAYNqjrusYHh7G3Nwc7s7fQSQSgc/nw/LyMr8OeQs5HA48\n+OCDHL84Pj7O1MWdnR3optBGWGjomJ+fh8/n43vw4x//ONbW1nD9+nWMjY2BAj+y2SxUVWVfdWLS\n0ENKC6IkSSxWouvVbrcxOjqKUqmE3d1dBAIBvPzyyya7zAqHw8EUS/KuIVbV1NQUAOD27duQJAnH\njh3jhKiR4QgH3H/605/GxYsXsby8DEmS8NZbbwn/FXPOUCyKGD06P5rhAOBiTupdgk+SySTDCZSN\nC4ATlVRVRaG8i0qlwl7++XwewaCAm8imIxIZ4QWyWtuDpmmYnp6G3W7H3bt30eq0Ga4JBIJ8T8Tj\nccRGJRQKBbRaLbjdAlIaGRnh5jGdTsPn86FYzDPbhfIQCKoVytYC8+mDwSCbxtFCTmw60oAIqqWN\nHVZbzQ7nD4iIxCrnFtO95bRbmVZN7+vgQq5pGo4cOcIzO1VV2aGVGqn3e/xQCKbSh9LGh5/7MIaG\nhtBqtVCr1dhvm0yviGMMAPPz84ybEc0oGBTDMiqi5FNRq9Vw5swZtjolWhYNbyiDtN4SXRXxuJ1O\nN3Z2dtgyVdcN7ggtFgt0DSzVdjgcIpi718Ho6Ciy2Sw8Hg+i0SjOnj0LAGwORnF8tHUnp0QSv7R7\ngm88OTnJDylZJhA9jM4fAA+6CL/3eDyQDTHko5Qf4qsDArsNhUIsxqK4udXVVXg8Hjz00EPweMSW\ncmdnh4Up5CBJfjOJRII54wsLC8hkMmyx7Pf74fY42TgsGAwinU5zoaAhH3mrExWRKGTUkTpcHjbZ\nIhvYQCCAYrHICuHZ2VnGiEk0RthxPB5HoyQ89d1uN/PaCe4iMQphszRcJi57r9eD4hZwEw1FCaoi\nggAVNNpdkl8O+fPoug6v28lFbHl5GbVaDYFAAAA4KYnuM/q/fr8fjzzyCJaXl5HL5WC1KJy0Zbfb\ncfv2bei6zu8tdYTHjh0DAFy/fh2tloAJaAEejUQ5J+HQoUNIp9P8Pr777rt4/fXX+d6gIkdwhs0m\nuOsAGO6IxWLCEHB9nZsgGjgTHEg5sN1uV1yDZoWvG10fMhukrrjbVaFpmtj9tMTzQDTiRqMB3ezG\nxYIe4dlIIBDASFSYsN28eRONxn5OAdGqvV6vuQPT4PV6mY9P7xcA3rlZrVbkTS2Hz+czla4i8atY\nENAxqdJpriFM4KysYh+NRXl2JGxDqmZouA7VhJ2ouaFFgZ4RqmEnT57EzMwMbt68iddeew3xeByH\nDx9GLpfDf/ff/Pp/vnDwga/9KoDfBjBsGEZREtXnBQDPAGgB+KRhGFd+0GuU98rY3NzE2toaP/SX\nL1+GJEkYGxuDy+XC/Pw8vxFkakVBySQ5J1UfsK+Go1gzwxBZlATbEHwxNDSEkZERrKwLB0QynNL1\n/aEhbSfJayMYDMI/FGRLV+Li93vCmySZTHK4ArEgNE1jM69MJoO9vT22MCiXyyz7PnfuHDY2NjA/\nP49qtYp4PI4HH3wQuVyOizbZG9MNQcIUmjt4nK4DKkBy8iO/Erqxye6BDpqB0ICIOpBgMIher8dq\n5ZmZGYRCYobx93//9+z1T57yqVQKd5cWEAwGMTc3h42NDeRyOe5ASKdAHRRtv2ngRVtoetgajQbb\n1tbrdR7sUhQkna8sy7wLonlB0b3LsxNJkjBkqn0Jf6WmgLjX9F7RjsPqcvD9RI0FDUppcQDAgheS\n7W9vbzPUpwb99Lzw/UqsKdpp0bWx2WyIxWLQdR2ZTAbdbheJRAK57DYbtQGiQVhdXeXrpCgKazMA\nsQPpdrtIJpNwu93My6cZ08LCAm7evMk5u/T+DHLkaQdBXkDULBAThWZTtGMmGIsWVmKXkA0DXVOa\npRGzJRwWKm/C/bNZQcgYHh6Goe+rzAk6iifG0O12zRlQnv2O6J5aX183u3Qx2CT9CMG1wuO/xzAc\ndeStVgvRaBSHDh3inGTqrPf29viZ8/v9sJjvX7FYhmFofM2y2SzS6TRSqRQbB964cYMH9gKqLQpf\n/l6XB9AE01L9Iottq9WKO3fu4MUXX0Q4HMYv/dIvAQC+8pWv8K7i/RzvB7r5DwB+H8CfDH5SkqQE\ngKcADFqo/RMID/o0gAcB/Fvzz+9/EmZHkkqlkEwmcfv2bZaZb2xsYHFxkW12AQEDLC4ucriDkFNP\nYmtri6PJCPtOJpPsj014JL0eOeINDlcEpFKAqu5ngwpWg8pbv1Qqhb4qcFeKi5MkCYfSM1x02442\nY4WA6LxX7evY3d0VMI+uIx5LCJxSFx46wcAQq4DNa8wFmxgMdrudWUgAGBekwVihUECv3WH3QerG\nyHaAZh/k2Ofz+fjmqlQqeOeddxi6oS6x0Wjg7t272NnZYc9wilh0uVx44IEHuJCMj4/j6tWrSKVS\nHBW4ubkJXdcxMzPD7/f169fZm5yKLZ2X3W7n4S4tnC6Xi4Ur1F03Gg1+WIF9F06i3O7t7UGxWdHX\nNdSbDR6QWwYTiHSJizx9yIoFVvN+UHWNr/O9CwJtuUnsQtc3lUohlUrx95aL+8XI4XCgWCxyQabF\ngzIMCCap1+ucZ0D3MYWxEzTmdDpx4sQJTExM4M0338TCwgJfC7of6NxisRh67Q7vIEl8QyIni8XC\n5n3lcpk9iEZHR01RU+9Api1BdYN2y7qu86zFahV5zYFAgDMUaDBLswBKPruXBkkeMxaLBfFEAjab\njWFLWZYRHRVzIjH/afKwV5ZlqD2Nc4MrFcHGKpfL6PUEe4fuF4fDwYhBIBDgYBmyvyavHgosJ0U4\n7XDoWlBtEdbGYlCby+WQzWYxPBxmBb7LLYa/Y2Nj5q6lC4epDievI5fLxdYmu7u7yOVySKVSWFtb\nY7bNCy+8AIvFgvvuuw/nz5/HH/yf39NI+GCN/UHfYBjG65JImLr3+ByA/x7ASwOf+yiAPzEEHvS2\nJEkBSZJGDcPIfb/XUHsq2wDs7e0hFouxk10ymUQ2m8Xjjz/OHNJXX30Vs7Oz/FAQp97lcrFtgnBx\n7PKWbW9vDzs7O/B4PEgkEszLLpVKsNlsPBCjVbzRaB2gHtLPUhQFq6uruDO/yBQ3gk16vR57utBO\ngR6EW7duYX5+HpVKhSmSFJBhsViQz+dFkdd77F3i8Xiwu7uLu3fvcjAEBVDQ+Q4O0KgrMcwpvd1u\nZ7k0dc/0QW6MHo+H8cl+XwQtToPPSwAAIABJREFURyLiJg4EAgiFQhwpSMwC6mRpd0T4LVH3aMtZ\nr9cxPz/PVstki3zmzBncunULLpeLaYA01KLzdTgcqNQajFs2Gg2G5YhfTLF/g0XTvGcBgBlbuqpD\n7fdh9A0u2MD+zhAGDlyb9zqoaBuGccA/ndTKVMBocSZoR1VVTExMHJDfU9oQHWSdrGkaF0Oi1drt\nduGv02pziDUpjSmse35+HidOnMAbb7yB2dlZAAJ2IxIC7ZBSYwnhp2TOJgCg0+lwkazVaojFYgiF\nQtja2uKhLQ2tb926BQCsGyANBmH2FJtH8CvNxUh/0ul0YHcJGwi/3490Og0AWFoSu2myWqAoSXKK\npOea/G50GKyBkCQROUjXbVApPDQk7uNwOMzwHxEBvF437whpIE5W1aQapmeUdij03O3t7cFpXj9q\nwshWJRaL8eD37t27OH78OMLhMNrtNm7P3+TFSlVV1Ct7OHv2LLa2tpBIJNDv97kxPHXqFJviTU5O\nIpPJQNd1fPzjH0ehUMC7777L9fD9HP/YhKmPAMgahnGduhvziAPIDPybwsG/q9BLA+HgPr8PlUoF\nIyMjOHXqFOLxOAqFAlZXV3H48GH4/X689NJLvL09efIkXn31Vezt7cFms2FtbQ0Oh2DTiGGihRkI\n5Pni9XoRi8UwMjICv9/PGZg0daeugqL91tc39zvkXg+ACIigVB+3242xMbGFXF1dRbVahd/j5e6H\nihwVFaKAkaTa6XSydJuYRs1mEzaX7QB3nnBMm80Gn8/HvGSCDGghIqGKgGcEzkiOgdT1U+dPiw/t\nZij6jeAwOueVlRUsLS1xcaJCbLFYsLW1hXQ6zcOsdDqNRqOBixcvCi+P9CRWV1dRr1fNcIcW3n5b\niIRCoQCmpiY4no628u1226TQCW8Tm8sLVRNziW5PSNctigV2q3JA1DIodVc1E1KwC3il11cBCVBs\n+4N82j0QrkrFXZIlyJJ84OvEa6bPDS4I9LndQp6LqWEY6PS6+wIcnxdqd79RsFqtCIUC7DtOXj/F\nYhFOpxdTUxPMUiFqb6VShsNmZzov7WxOnTrFzo6XLl1iJ0tAwCsOhwPJZJKzDjo+P4vi0uk0otEo\nUyCdTieq1SpbUJDNMDFOyFKY7htiVA2a0lGD5vf72Ys/n89zQ+BwOBAaHufEtGg0eiAJqtlsmkVS\n52ufy+V4JwuIxbxarR4Q1ZFHPf0MolASbZMwfoKRBKQm82BeURTU63WOWRT3qBCwER2b6JzxeByK\nomD+9m0AotBPTU3hyJEjaDQavMOjhoWoq+FwGGfuewDJ1BhWV1dx7do1BAIhXL58FR6PB41G5gCF\n/I033jIH+yGsrq6bJJIQbt68jUAggNnZo0wrfj/HP7jQS5LkAvA/AvjQe335PT73ni2SYRifB/B5\nAAgPh43p6Wl89KMfxeLiIr7whS9gdHQU5XIZb7/9NkeJkT/I3/zN32B2dhY3b94EICCHQMDPnRLF\nslFXT7gnYdSZTIaHN8RVJ58awzBQqVRQLBaZhSIeOrDfN8EUNNzTdR1Hjx5FfGSU6Vc7OzvIZDLs\n+EeOg6T4pcg5om8Fg0GB/7psTB+kDt3v9zN+SbAJsW5GRkZ4t0I3scfrYwtYirMjiIBSjMgLn6AS\n4g0PxvaRGRu5KNLOgbp8uoGHh4cxMjKCfD7PC8OFCxegqioeffRRNvC6F67Y3t7mRY6K9SCEQ543\nAJiVoKoqc/sHmSsAmBVB1EDDMGAAPJ+g1yZ8ftBjfeD+hmTi5pIkQR2A0eh1eGEwP+f1evnvtFAS\nM6LX68HrtLExFS269PsOCvx0XefdKQXQu91unD59Gm6nh6+F0+nE/Pw8Ll++DIfDgZGRER7w3jYL\n0Pj4OKxWK6ampjA1NYV6vY4bV6+x9zrtpBRFYXric889x6Z7lOz05ptvsr027SAIlqGFkqi2hMmT\n2IrwbxowNptNyNYgv7c3btw4QC8lDD0QEErrWq3GfjPBYBAOhwOdTgeNVpOV1FarjYVPsiyj1+2z\n1XQ+L4b/4XCYdx00sKc0tV6vh5GREYRCoQNzDPKBImiGmHmkBA6ZId4SBPLw+uuv807C5RJJcE88\n8YTJNurx6y0uLgoYttPE3MwRtNttbG9vI5VKwePxML2bbJiJAhsOh9nHP5fLsW//+z3+MR39FIAJ\nANTNjwG4IknSAxAdfGLge8cAbP+gH+jxCr725z73Oei6jomJCSwuLuLGjRucNF8oFPD2228DwAGj\nJFVV8aEPfQiGoXO3DQiqHXFQqSAPOigSRk0FjEzNMpmMSc/aH6w6HA7s7OxicXGRYRDaplJxjEQi\nLOSiToxsHQAw9ibiEcXg0el08g28t7fHxmj0IFQqFayurmJ4eBjxeHyAqlXnNzmXyzG7hdSoaqfL\nDzRt3+n/0FadoB7i3tM5C8aExtdZqPqy3ElJkoTp6WmcPHkSly5d4q7typUriEajOH78uBiS+0+y\nSvby5ctwOp2sEibPb9omE312cChJHTEAzvpUVZVFLgS9EQwFgP8v2RcbhgHV0O8pwuL1dMOAYexn\nrFLxpgWCvk4L9eAxWPQBAX+QFJ+Go8QKU1UVLqeNnReBfdM7APz/KJSbMGQqlITPK7KVz412b4BQ\niY+Pj2NhYYF3W4BQTLfbbcRiMSwuLkKSJDzyyCMMSxQKBWxvb2N7e5sT1VZXV9nemCIYCf5SFIXj\nHCORCGKxGPx+P99fS0tLBywGSJhHP7vb7fIC3Wq1mIQgumvx/pGgjpxEDcNArdpgGJCeCUMCD+h9\nPj/vEBwOByRYWAshSfv3Er3/gyZiFIkIiB03kQ2i0SjOnz/PaVz5fJ5nClNTU5AkCdev3gAgGq1U\ncgK5XA4Oh4Ptpd988wKWlpbMLOI+W0/UajWx0FhEM6TrOh599FF0Oh2srKwM6HRaeOSRRzjxrVgs\nolgs8k6P9BDv9/gHF3rDMG4CiNC/JUlaB3DGZN18FcB/LUnSFyGGsNUfhM8DQKlY4vzP3d1dvPPO\nO9wl0xs+MTExYIErgrh/4Rd+AZIkrHYnJyewvr7OHfyVK1fofNmmVZIkHD58GDMzM9jb2+OHwefz\noVwVNzFZ1ZLLH/m9U3oUYeI2q4Npdq1WC9evX0e9UsXm5iampqb4ISOV3yCnnTBs2soHAgH27Vhd\nXWVMm3y4yVtHURR0u11ks9kDRYMCK2w2mxDdOF3cmZBbXr/fZ4Xx5OQke5BQYDmJnywWCz71qZ8H\nIHDemzdvYnh4GH6/H8vLy7DZbDh9+jT+/M//nAdYpHEgCho9yNR9E55KlFKig5KvCj2I1P0ZhsEP\npMPhYBEL4bwkh3c4HAe6GsLPCUvv9/sw5IMuhjSQpe9vt9vfBecMFnL6+bRLoMXoXryeIABik5Dy\nmHaZ9L10ftTlEltn0MeF4Eaa++i6Ds3QmLOuKAoeeughtiH4i7/4C5TLZRw/fhw/+7M/CwD41V/9\nVcTjcczOzuKll17CzMwMnE4nPB4PyuUycrkcO8I6HA5mllgsFthsNiYojJvBKGtra/z8kV8PhYh4\nvV7OmyU4hEgRhUKBrzEAjE8l+X6hRbTd7vJ9Qf7vZM+gWERe7d7eHhwOB8bHx+HyuJnhBOwPgckb\nhyBJYt1sbm4yRDY0NIR4PI58foetVzodMaROpVKQZRmdTgfXrl1DLpdj3Y3NZhM6l0qFSQCAGPRe\nvHiR53VEwWw2m7h69apJqRYwkM/n4yB1TdOwtHgHtVoNmUyGf39aeBqNBtbW1hgS83g8yGazDMEO\nKn/fz/GPCgc3DOPfD3x9HfuFXoJg6PwEBL3y5w3DePcHnUR0dMT4uV/8JDKZDBRFwcmTJ7G+vo5z\n586hUCggn88zDQkA48Pr6+v7is58AY888gh2dnYYEqAhJwWM9Hoi6HtkZARvvPEG0/QajQZO33+G\nLzANGFOpFHdfRD8jFsHt27fR6/Vw9uxZdDod3Lp1C4WdXZ4NPPPMM9jY2GC4Qtd17Ozs8PDn6NGj\nzGQYDBKXbeKNJk/wUqkExSKxpbHL7jCl8gORcY0m1H6Xdy+dhojU29nZFqErhihSDzxwP8bGxsSw\n2uuB2u9ieXmZ4ZNsNouhyBCSZvDxdm4Xz3z4I3j5m9+CPxBCZjuHRrONwJCIXNPVPnRdg92mwG23\nQZElaGoP3W4bdTP0QTMkGJIMSAoMi+grZEkBLGJxsUCCbAEshg4YfUiGDosk8G/DxNsHj+83MKWv\nDx6y0eeifO8gddAYjhYSWiDooeuo+99Pfw7+/T1fc0DZDQAqsXkGFpN7z5nmJ4NDX6Ij6roO6OLa\n6QMLhli0rLBYxXn/6Z/8GfqGON+HHnoIH/3oR/HNb34bgUAA77zzDgJOiXeFVETy+TxbWNAg0O12\nczoZJY75fD609sQA2el04sEHH8TCwgL6/T4HhLdaLfZtJwrxYO6Ay+WCYloPSJLEcCPTWtU+s+tC\nJu2XGD7ddoeFVk6fUKQ2Gg1kt3IcSyniFQNsL074/+5uAYFAALFYDLIsi8XC7cZbb72FZDIJv9+P\nxcVFzqCtVCq80JXLZU6J63a7CAaD3NwBAs4lym+/30d8bJR30Ha7HXNzs/jkJz+Jv/zLv8Tbb7+N\nRrOG6elpDA0NIRqK4Pr167ybpWByAAytPvXUU8hkMuh0OqxyJl1ANpvFf/y//+x98eh/KARTQ8Nh\n48Of+AiGhoZYuHP06FHYbDaMjIzggx/8IP74j/+YH9Ll5WVMT0+zCs/lcmGvWEIikcBP/uRPwu/3\n40//9E+RzWY50Scej7M6T9d1jI+PY21tDZIkYXx8HEurYvJP1gNbW1uIxWKsML179y7C4TAPLbe3\ntyHLMhKJBEqlErLZLMZGY5y6tLOzg1AoxIvT+vq6aZYmVHZjY2NoNBoYHR1FoVBAJpOB3W7Hdr7A\ng6hwOAyfz4exsRjmb9/G3NycgHdMP28A/MDKksFCoHarzzhkoyGobo8//jh8AT92dnL74Sj9LtbN\nbsdisWB3d1d0PKH9ndPc0WNYWV2HbLWhDwnVag3BUFgMjq1iwOawWaAYBrR+D92OKTRyOmEYEjRD\nh6pJ0CCKPgBR+AHu3g2tDxk6ZMOAjD4MTYdh7GPp1IXfWyipK773GLynjX6Xrye5o9KftJsgCI62\n1/RvWZbR+x4GgYOvQUNYKsBUoGlx6QEHivjgroJ+n8HdAu0YBl9HMpSBXYSBvjnDET/TglpDhL5U\nKwLv/su/+gp8Ph/OnTuH8+fPIxaL4ff+9f9mQhoS4vE4stksw5eAcI8cGxvjIV8qlUK9XkcwGBQs\nFL+YkUUiESQSgsFz69YtnuPQs5NIJCBJIozbarWyS6osy5DsVn7OyGyMilu5KCiGiUQCAdN4jQzu\njs7OoVgs4s6dO1DRx8zMjEgLW8+wB72AuoTbaqVS4ZmezeZgGwGiG0eiUVy/fh3dbhcjIyNsY7G7\nu8v3Gs2VDMPg8yQNAUF+jz32GC5cuMCQ3WgsildeeQXpdNr8mWJuVCgU0Gg08JGP/jNUKhXkcjkU\ncwVEIhHm4O/t7TE8Rh5GhUIBc3NzePLJJ5k08frrr0NRFFQqFfy7P/wPPzoJU7/7ud/97JFjR1hN\nmkwm8fTTT2NpaYk9Xu7evYtLly5hbW0Np0+fxu7uLjqdDodtuBxODkr4/d//fdy5c4exZ+LDEtOG\nnAILhQLHokHe50Y3m01sbW1xt0G8V13XmftLQgp6wIPBIIIB4YeztLTEObO0a6AkGdrG7+7uYn19\nnVOEqHArDju6vR5i8TgazSZkSYKiWJiJ5PV6ce6hc7DabQgPDyO7tSW2z34vJFlCLB6D0+Fhxo5i\ntcHj8+Chhx9Cu9fFz/zUz+Frf/M1qFofPbUPw9ARDocxEhtFJBrFdHoapVIZmgHIVhvKtTokmwOV\nehNurx+dTh8Wux29vjA2czockC0W9NQe2p0OVLUHwwBUVWT+iqKpAYYBWQJkGLDIotj11R6Mfg+S\noUGRAZfDCqfdBpfDBofdDq/HA5fTAbvNBptVgUWWxbTf0AFDhwQDhq5/1wd9HYYOm6LAZrVC7alw\nOpzodXtw2B1ot9owdB0SJOiaBkM3IEvi5xu6Dl3T0Ff7UKxWyJIECeIWkQQXEzAM8+86tH4fuiY+\n9l+fvkcwYKwWGRZJBEBIhg7J0AF9/6Pf68HQ+oCufdeHofVhtdihWCywKgosVgWKIv6uKAoUqwJZ\nkmCz2tFVu5BlCXOzR7C8dBd35m+jVqmhWqnguY99BCdOnMATTzyBeDyOv/u7v0Mut7/wOxwOfOpT\nn8LXvvY1jkF0OBxYX1/H7Ows8jt5dLpdLCwuQu330Ww1ER4Oo9Vuw+F0wuV2o1Ktot6oA5IEh9OJ\n4cgwIAE2ux2bmQxcfi9U04qZEtyI2qhrOlN+DQCyJDGdGJKEnklh7apCHS6wbisKhQIruE+ePIXx\n8XGeg0mSBFUV3jtkseJyubBCCm4zKpTyjOmZp+hMmjMQZOLz+ZiDT8aJsVgMTz75JC5evIhWqwm3\n283N2wMP3I/5+Xk8+OCD5k5qFZ/+9KfxzW9+E6VCCadOncKxY8fQ7Xbx9ttvs/pdlmVmLCWTSWxv\nb8PlcuHq1as4d+4cIpEI7t69i+tXb/7oZMaOxkeNn/vFn8fOzg6mp6e5i6A3Z2pqCidPnsT8/DwA\ncJbsSy+9xElFdsWKy5cvIxwOw+12s9kSDSHT6TQnyR86dIhtSEmU88A5YVVw9epVLC8vs784pdoU\nCgV2myQMjwRDgOguA14fY6KkCxiM4Eun0zhx4gQbXMmyzAwbMl+yer0YGhoSv6uu4/Dhw6hW99Dv\n9+HzCD+fwzOHcHdhEQDwzjvvYHh4GNHoMCwWi/D1kOy4c+cOnvvEx/GFL3zBNIPqc4fm8/lgdwgc\nVhh6ie6w2W6JIaIJV9htDhRKRYRCYRTLwjGy1ezwTW9VZFgtAq7pdTswtC4U2QKr1QJdFYNvSBZI\nFgWyYoUsm8IYiwWQTTxS1yAZBgxD2y+AZjevyPteHtQJD3bGg0K373X0+z3WRni9XlQqFeZkUwc/\nyKIBDrJq6JzpGBzaDp7bvR+DP6+j7VMy34uv/17c/HuHwzabi8Veg7sbxWIDLLIpUrLBZWLHhCW3\n2128+OKLeOaZZzAcEilUBI1qmoapqSnk83l85jOf4SF2r9fD7OwsZyFbLBbMz89jMiV8dJrNJjod\nQVYolUqYnJzkDFkhVKqwvxI1SRQivrUrmC6BQADQdBa5ASZtUxLq5q2tLfRNqHVvbw+BQADNZlNk\ntwZEylsul8PS3RWoqsriyWq1hqeffhrrZjC9qBdu9nSiLNu2aQU+NDTEhX5iYgJ2u/1AWD3BeKST\nIJYedfQ0g6H5x9LyInq9Hh555BEkk0l89asvsebD4XCg1W5gb28PPp8PbpuLsxrsdjueffZZxutz\nuRyTIYh4cvjwYZTLZUQiETz77LNoNps4e/8jPzrQzUhsxPif/tW/hCQJE6ZGo8HbSpIzCyGPmAGf\nPn0aX/nKV/DEE09gZ2cHly5dgtYTb3YgEMDGxga7HhJjRNM0xvKIqUG8++effx5f+5tvABCsm36/\nj3Q6zYMrokJub29jdHSU+bjhcJj9QDRNQ70i+L2PP/44Lly4wEpcQHilHz9+HEtLS7hy5QparRZv\nX0dGRjAzM4NUKoVrdxfxxhtvoNfp4oMf/CB2d3cxHBlCbiuLiYkJnD59Guvra7htilcIB/V63XA4\nHPC43FDsbqbOUSgFANy+fdP06dZht9t4ACzLMgxoXGQazX2Ofq1Rh9frR6vTASAzm6Tf74kCrfcA\nTYMsGbAqMuyKBVaLgqBLASBDBwDZAmMgzEzHPh3SYrFAkU1Mut8DdA2KLMNikQ7smOjv7wefH/ye\nTq/P222Xy4VGo8H/JpUtQSUEuRBerygKep19pSkd9xZy6hwHz2MQuumoEu8MqUAPfu9gob/3/9Pn\ndWMftjLkfeaY1WqHxSpmLHabE7p5GqFQiG0DrFYhxQ8FvKxu9nq9CIVC2N3dZYIAaUoMw8Dw8DB+\n+Zd/mYeDhw4dQr0m5k1TU1N44okn8OKLLwIQMMPs7CwHz29sbLB6m9gu4+Pj4rV8Xg65NwwDQ4Eg\nxsfHxXtlmok1anV+XzwuF3Z2dthXZ3d3F7VmjT2KvB4hxKMw9uHhCD8TdO7xeALBYBArKytYX18X\nBnDVKqxWK86ePQuXy4WbN2+iWCyyXoWaTSI9kH0BWX2QQd/q6iqrtq1WK3qq8EpaXl6Gy+XCxz72\nLM/zSqUSEsk4N31PPvYEXnnlFR40BwIB3L17FwCYSBGLxXD+/Hmsrq6yBYiqqmzy9i/++ad/dAr9\nVHrK+F9/619BkiTcuXMHuVxODGRCIWxvC3bmIK5Zq9WQSCSgKAonPamdLuN5x48f50QY8kQh9gkN\n2c6cOYNWq4VCoSBuPEX8bMKrXeYNRphmNBpF1bw5dF1HJBJhbiyxQ55++mncunULa2traDQa+MAH\nPsBzhBs3biAcDmNtbQ0bGxs4cuQIDh06BMMQJmvr6+uCu2uq+55//nksLCzgzJkziMVGcGd+Hs99\n+Dm88G9fQM5ULQJiAVFVFb1um021klOH8corr6BvKo7JkCo0FOAuR1EsfD3EoLrDebmQBN2N9AiG\nLMHQJQ54hhmkDkODIkmwWS1wOmywWWTIkihUHotZuCRRnAifB0ShJ5qgLMtQTNgMunioLLIoioR5\nE//53mJPRXCwwA8WWACQLTZewAh7J4Gc2NarTGkjps8BDF3aL8D3DmTp37Q43DtDoPOQFOd3/Z/B\n3+G9Cv29f9cNCYZhBlLoGjOJLLIVkiLYKvV6E8EhIRJSVRXxeBy9Xg/LS6t4+OGHkdkS4ThELCAq\nIRU1sgaw2WzY2tpi581cLoepqSl86S++DEBg+eShFIvFMDY2BgAM9xAdkcJ2dF3Ag8SXL5fLnDds\nGAYSsTg/47VaDX3TboQsuO8uLJieOGGMjo5iYWkBPp8PhUIB9VqTXWILhQLm5+9A13XetQGA3S66\n7Vqtxmpot5mbbBgG/H4/xsfHeader4vA8Ugkwgs03Rt+vx+qqrKRniRJZoaDeP/P3H8atVoNa2tr\nZiPXhK7reOqpp1Aul3Fn4TZDuJOJCbjdbly/fh1erxenT59mN9b5+XkoioJoNGoKQh149tln8eUv\nfxmapmF4eBiVSgW//b9/7ken0I/GY8Yv/sovYWZmBouLi1hdXWV+d6/Xw9WrVzE7O8tF3+VyQdM0\njntzOp04eew4EokEXnzxRR4wNRoNLC8vI5lMcgj3mTNnOPwhl8thdHQU+Xwev/CL/wKAYPTcvn2b\nfWKsVitT0WhA4/f7MTU1xQlDo6OjCIVCuHPnDnZ3d1EqlQ54hQPgcGG3241EImF25uvY3NxEMpnE\n2toajh07hly1Al3X8Su/8iv4vd/7PbjsDkiSwfxxq6IAMNiONj4iErQ2M+sAxEJVbauYmpoS/uB2\nB3Z3d3Ho0DQ2NjYE19iMUeu0hMJX01QOfhGQ1n4xouKkaQKr1NU+rDYLAj4/ZMmALAN2qwKbYoEi\nm4IkTYfRbphFTYZuFn+TEALNZAHRwqJ2e9B0UYSNvoZuVwx0NewPLwcj3EjtW61Wv6vw0wdDJLCw\nYpEGdOSPT/F+1HUOFnkyhHO79oPY72XL0EGDRmoSBumXANDvywcWIQDc1b9Xh3/v60mSBM1cHDVz\nd0OkAkACzB2RBAtKFXG/hUIhkzYYwuHDh7GR2WTWGMFXVPSq1Sqi0ShTOR0OB0KhEFOFyWbC6hQw\nJd2rtVoN1WoVX/ziFzlmDxDd//T0NI4ePYoLFy6YvuxCA9Go1ZHP55FIJOD3+7G3t8ddc7fVZqg2\nm9liEgVHKppJan2jz5RhrW+w2ExYFQjRkdVq5fNRFBtDS1Q43aYIjIbFFouFIy0rlQon2hGNkfQ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9z9/t5q47MWtnH13a/Zao21gSDrnynEssVZtf/ehg1s0gBscPlMTk7SEtdU3tYRJJN7SLZo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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb16c039e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show a frame \n",
    "img = cv2.imread(glob.glob('data3/IMG/center_*')[0])\n",
    "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "plt.imshow(toimage(np.array(img, dtype=np.float32)))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# load data for X and y\n",
    "with open('data3/driving_log.csv') as f_csv:\n",
    "    telemetry = [l for l in csv.reader(f_csv)]\n",
    "\n",
    "# drop csv headers that may exist\n",
    "telemetry = np.array(telemetry[1:])\n",
    "    \n",
    "center_im_idx =      0\n",
    "left_im_idx =        1\n",
    "right_im_idx =       2\n",
    "steering_angle_idx = 3\n",
    "\n",
    "def read_image_rgb(impath):\n",
    "    _, filename = path.split(impath)\n",
    "    tmp = cv2.imread('data3/IMG/{}'.format(filename))\n",
    "    tmp = cv2.cvtColor(tmp, cv2.COLOR_BGR2RGB)\n",
    "    tmp = cv2.resize(tmp, (32,32))\n",
    "    return np.array(tmp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1352ffef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot a distribution of steering angles\n",
    "y_all = telemetry[:,steering_angle_idx].astype(np.float32)\n",
    "plt.hist(y_all, bins=128, color=(0,0,0))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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rocH1tM1jYd+rYVYfxo7rsef8TZhkB7Cje/iXSe6fYn+nAt/vbXvxwiY4Ap7UBMs+p65Z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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb136f0f0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# prune data - remove % of images with steering angle within +/-epsilon\n",
    "def prune(dataset, perc_drop=.5, max_epsilon=.05):\n",
    "    def in_epsilon(s):\n",
    "        return abs(float(s[steering_angle_idx])) < max_epsilon\n",
    "    dataset = shuffle(dataset)\n",
    "    mask = []\n",
    "    nb_max = sum(in_epsilon(x) for x in dataset) * perc_drop\n",
    "    nb_c = 0\n",
    "    for s in dataset:\n",
    "        if nb_c <= nb_max and in_epsilon(s):\n",
    "            nb_c += 1\n",
    "            mask.append(False)\n",
    "        else:\n",
    "            mask.append(True)\n",
    "    mask = np.array(mask, dtype=bool)\n",
    "    return dataset[mask]\n",
    "\n",
    "p2_telemetry = prune(telemetry, perc_drop=.5, max_epsilon=.02)\n",
    "# p2_telemetry = prune(p1_telemetry, perc_drop=.1, max_epsilon=0.1) that was not needed\n",
    "\n",
    "# plot a distribution\n",
    "y_pruned = p2_telemetry[:,steering_angle_idx].astype(np.float32)\n",
    "plt.hist(y_pruned, bins=128, color=(0,0,0))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# dataset split\n",
    "train_samples, validation_samples = train_test_split(p2_telemetry, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# define preprocessing and augmentation to be used by generator as functions\n",
    "nb_augmentations = 4\n",
    "\n",
    "def flip(img):\n",
    "    return cv2.flip(img, 1)\n",
    "\n",
    "# one real image yields itself, shift_r, shift_l, flip\n",
    "# so ultimately 4 images are appended to dest_x and dest_y lists\n",
    "def append_augmented(sample, dest_x, dest_y):\n",
    "    im_orig = read_image_rgb(sample[center_im_idx])\n",
    "    im_left = read_image_rgb(sample[left_im_idx])\n",
    "    im_right = read_image_rgb(sample[right_im_idx])\n",
    "    angle = float(sample[steering_angle_idx])\n",
    "    # flip\n",
    "    dest_x.append(flip(im_orig))\n",
    "    dest_y.append(-angle)\n",
    "    # left\n",
    "    dest_x.append(im_left)\n",
    "    dest_y.append(angle + .2)\n",
    "    # right\n",
    "    dest_x.append(im_right)\n",
    "    dest_y.append(angle - .2)\n",
    "    # center\n",
    "    dest_x.append(im_orig)\n",
    "    dest_y.append(angle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# define a generator for Keras\n",
    "# if augment is set to True, generator will yield more samples!\n",
    "def generator(samples, batch_size=32, augment=False):\n",
    "    nb_samples = len(samples)\n",
    "    while 1:\n",
    "        samples = shuffle(samples)\n",
    "        for offset in range(0, nb_samples, batch_size):\n",
    "            batch = samples[offset:offset+batch_size]\n",
    "            batch_x_tmp = []\n",
    "            batch_y_tmp = []\n",
    "            for sample in batch:\n",
    "                if augment:\n",
    "                    append_augmented(\n",
    "                        sample,\n",
    "                        batch_x_tmp,\n",
    "                        batch_y_tmp,\n",
    "                    )\n",
    "                else:\n",
    "                    batch_x_tmp.append(read_image_rgb(sample[center_im_idx]))\n",
    "                    batch_y_tmp.append(sample[steering_angle_idx])\n",
    "            yield (np.array(batch_x_tmp, dtype=np.float32), np.array(batch_y_tmp, dtype=np.float32))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+wRsAhD+bCyH2S/qU/O6edvdJAEYCmA4gdCtW8FZBM5ttZovMbFHbJ1k/WAix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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb136fb5c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "steering 0.094308\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb13532dc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "steering 0.105692\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb134a74be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "steering -0.294308\n"
     ]
    },
    {
     "data": {
      "image/png": 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FEENCvz7zm1kyvULvbgDPAXgLQIO7Hyw4rgEwfmimKIQYCvqV/O7e7e4zAUwA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\nRckvRExR8gsRU5T8QsQUJb8QMeX/AVQraytNHG8fAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1354ceef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "steering -0.094308\n"
     ]
    }
   ],
   "source": [
    "# test generator and preprocessing\n",
    "test_gen_data = train_samples[890:891]\n",
    "test_gen = generator(test_gen_data, batch_size=1, augment=True)\n",
    "\n",
    "x_data, y_data = next(test_gen)\n",
    "for (x, y) in zip(x_data, y_data):\n",
    "    plt.imshow(toimage(x))\n",
    "    plt.show()\n",
    "    print('steering', y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n",
      "5860/5860 [==============================] - 5s - loss: 0.0928 - val_loss: 0.0275\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 2/5\n",
      "5860/5860 [==============================] - 4s - loss: 0.0414 - val_loss: 0.0221\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b - ETA: 2s - loss: 0.0480\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 3/5\n",
      "5860/5860 [==============================] - 4s - loss: 0.0350 - val_loss: 0.0222\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 4/5\n",
      "5860/5860 [==============================] - 4s - loss: 0.0325 - val_loss: 0.0180\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b - ETA: 2s - loss: 0.0334\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 5/5\n",
      "5860/5860 [==============================] - 4s - loss: 0.0288 - val_loss: 0.0184\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b - ETA: 2s - loss: 0.0284\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n"
     ]
    },
    {
     "data": {
      "image/png": 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ZyTzy7lrKj1aGOhxjTDvl5Qnuc1ooFtMAEeHeS3PZfbCCZz9qN88nGmNaGS/V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\nqn4WxBiNMf7Cwuom8eo5uv6+qkoo3Xp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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb136f349e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# train the model\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Flatten, Lambda, Dropout, Activation\n",
    "from keras.layers.convolutional import Cropping2D, Conv2D\n",
    "from keras.layers.pooling import MaxPooling2D\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Cropping2D(cropping=((10,4), (0,0)), input_shape=(32,32,3)))\n",
    "model.add(Lambda(lambda x: x / 127.5 - 1))\n",
    "model.add(Conv2D(32, 3, 3, activation='elu'))\n",
    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
    "model.add(Dropout(.5))\n",
    "model.add(Conv2D(32, 3, 3, activation='elu'))\n",
    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
    "model.add(Dropout(.5))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(128))\n",
    "model.add(Activation('elu'))\n",
    "model.add(Dense(16))\n",
    "model.add(Activation('elu'))\n",
    "model.add(Dense(1))\n",
    "\n",
    "train_generator = generator(train_samples, batch_size=32, augment=True)\n",
    "validation_generator = generator(validation_samples, batch_size=32)\n",
    "\n",
    "model.compile(optimizer='adam', loss='mse')\n",
    "ts_len = len(train_samples) * nb_augmentations\n",
    "history_object = model.fit_generator(train_generator,\n",
    "                                     samples_per_epoch=ts_len,\n",
    "                                     nb_val_samples=len(validation_samples),\n",
    "                                     nb_epoch=5,\n",
    "                                     validation_data=validation_generator)\n",
    "model.save('model/model.h5')\n",
    "\n",
    "plt.plot(history_object.history['loss'])\n",
    "plt.plot(history_object.history['val_loss'])\n",
    "plt.title('model mean squared error loss')\n",
    "plt.ylabel('mean squared error loss')\n",
    "plt.xlabel('epoch')\n",
    "plt.legend(['training set', 'validation set'], loc='upper right')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  },
  "widgets": {
   "state": {},
   "version": "1.1.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}