Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4, 9, 7, 6, 0, 1, 5, 3, 4, 8, 1, 5, 0, 9, 6, 5, 6, 0, 22, 17, 12, 1, 1, 0, 0, 5, 0, 4, 0, 16, 2, 7, 0, 5, 0, 7, 5, 0, 4, 12, 20, 2, 10, 10, 6, 2, 5, 2, 2, 0, 0, 3, 5, 8]\n",
      "[3, 17, 4, 3, 1, 0, 1, 0, 4, 6, 4, 7, 0, 21, 11, 9, 6, 0, 19, 19, 9, 1, 0, 0, 1, 8, 0, 2, 0, 14, 0, 20, 0, 4, 1, 4, 7, 0, 8, 17, 29, 3, 13, 11, 9, 7, 4, 3, 1, 0, 0, 0, 7, 9]\n",
      "[4, 7, 11, 10, 2, 3, 5, 7, 2, 1, 3, 9, 2, 11, 8, 15, 16, 0, 15, 12, 9, 0, 0, 0, 2, 4, 0, 4, 0, 13, 2, 8, 0, 10, 0, 4, 1, 0, 0, 12, 7, 3, 4, 2, 0, 2, 5, 12, 9, 1, 1, 4, 8, 13]\n",
      "[3, 7, 8, 4, 2, 5, 1, 6, 0, 1, 3, 10, 2, 6, 5, 19, 17, 0, 22, 10, 5, 2, 1, 0, 2, 8, 0, 5, 0, 22, 2, 15, 0, 6, 1, 4, 7, 0, 2, 8, 8, 0, 9, 3, 4, 0, 3, 5, 9, 0, 1, 2, 5, 15]\n",
      "[1, 0, 3, 1, 0, 0, 2, 2, 4, 0, 0, 3, 3, 12, 12, 25, 9, 1, 21, 25, 13, 0, 1, 0, 7, 4, 0, 5, 0, 19, 3, 9, 0, 3, 0, 1, 4, 0, 1, 5, 5, 1, 5, 7, 0, 0, 5, 3, 6, 0, 1, 2, 6, 7]\n",
      "[3, 0, 2, 3, 0, 0, 1, 2, 1, 0, 1, 8, 0, 13, 9, 21, 12, 0, 17, 17, 5, 0, 1, 1, 6, 8, 0, 2, 0, 12, 2, 16, 0, 8, 0, 1, 2, 1, 3, 6, 9, 1, 6, 5, 1, 3, 12, 3, 4, 1, 0, 4, 1, 10]\n",
      "[17, 27, 17, 4, 1, 5, 1, 11, 5, 13, 1, 12, 5, 9, 14, 15, 6, 2, 19, 11, 21, 4, 5, 0, 0, 13, 0, 8, 0, 29, 4, 15, 0, 4, 1, 3, 10, 0, 5, 8, 4, 1, 3, 4, 2, 4, 8, 1, 5, 0, 0, 4, 4, 10]\n",
      "[2, 0, 6, 3, 0, 1, 1, 3, 2, 2, 1, 7, 2, 8, 12, 19, 11, 0, 19, 13, 11, 2, 0, 1, 7, 3, 0, 3, 0, 10, 4, 6, 1, 4, 0, 4, 1, 0, 0, 12, 5, 1, 5, 4, 0, 2, 4, 4, 2, 0, 0, 1, 4, 7]\n",
      "[8, 23, 6, 3, 0, 2, 3, 8, 2, 3, 5, 32, 1, 14, 10, 5, 11, 0, 6, 11, 14, 4, 1, 0, 1, 9, 0, 4, 0, 23, 5, 6, 0, 2, 0, 2, 7, 0, 1, 9, 6, 2, 7, 3, 1, 3, 1, 4, 8, 1, 0, 2, 2, 6]\n",
      "[18, 28, 6, 4, 1, 3, 10, 12, 7, 9, 9, 19, 1, 9, 16, 5, 9, 2, 13, 5, 9, 5, 3, 0, 0, 8, 0, 4, 0, 26, 4, 14, 0, 3, 0, 8, 10, 0, 6, 12, 9, 4, 4, 4, 1, 3, 5, 2, 9, 0, 1, 0, 1, 3]\n",
      "[16, 22, 11, 4, 1, 4, 7, 6, 8, 14, 12, 14, 0, 14, 8, 7, 3, 0, 19, 6, 14, 1, 4, 0, 0, 9, 0, 4, 1, 27, 4, 12, 0, 6, 1, 6, 6, 1, 2, 11, 15, 2, 7, 2, 2, 3, 7, 1, 5, 0, 0, 2, 6, 8]\n",
      "[9, 30, 9, 8, 0, 3, 2, 7, 5, 7, 5, 21, 3, 9, 15, 6, 6, 0, 7, 17, 16, 0, 0, 0, 0, 8, 0, 7, 0, 31, 5, 8, 0, 4, 0, 2, 7, 0, 2, 11, 13, 1, 12, 7, 7, 1, 6, 1, 4, 0, 0, 4, 4, 8]\n",
      "[21, 22, 10, 8, 1, 3, 5, 2, 7, 8, 12, 26, 3, 18, 3, 9, 4, 1, 23, 11, 22, 4, 2, 0, 0, 9, 0, 6, 0, 21, 2, 9, 0, 10, 1, 1, 7, 1, 6, 13, 13, 1, 7, 6, 3, 6, 6, 3, 15, 0, 1, 5, 6, 10]\n",
      "[14, 28, 9, 7, 0, 4, 5, 6, 5, 14, 10, 11, 1, 16, 8, 6, 5, 0, 16, 21, 22, 1, 1, 0, 0, 10, 0, 2, 0, 26, 9, 17, 2, 4, 0, 6, 3, 0, 3, 12, 14, 2, 15, 8, 0, 2, 3, 2, 6, 1, 0, 2, 5, 15]\n",
      "[11, 34, 6, 3, 0, 2, 0, 12, 4, 11, 6, 17, 3, 21, 9, 11, 4, 1, 14, 11, 7, 0, 1, 0, 0, 3, 0, 5, 0, 18, 3, 15, 0, 4, 0, 7, 2, 0, 4, 14, 10, 0, 2, 7, 3, 3, 6, 0, 3, 0, 1, 1, 3, 5]\n",
      "[3, 13, 15, 6, 2, 0, 3, 5, 4, 4, 3, 19, 1, 14, 6, 14, 9, 0, 11, 17, 16, 1, 1, 1, 2, 3, 0, 5, 0, 20, 2, 12, 1, 5, 0, 6, 7, 0, 5, 17, 17, 0, 18, 9, 8, 6, 2, 2, 6, 0, 1, 1, 3, 8]\n",
      "[10, 23, 7, 2, 0, 1, 1, 8, 7, 8, 10, 20, 3, 9, 10, 6, 5, 0, 13, 16, 16, 5, 3, 0, 0, 7, 0, 5, 0, 28, 1, 5, 0, 5, 0, 4, 4, 0, 5, 12, 6, 1, 7, 8, 8, 1, 1, 3, 4, 0, 1, 5, 4, 10]\n",
      "[5, 8, 6, 9, 1, 1, 1, 2, 2, 4, 0, 12, 0, 9, 8, 12, 6, 0, 19, 24, 14, 0, 0, 0, 0, 6, 0, 1, 0, 19, 3, 8, 0, 4, 0, 10, 1, 0, 4, 24, 20, 2, 10, 14, 3, 2, 4, 3, 1, 0, 1, 3, 5, 7]\n",
      "[4, 4, 8, 3, 1, 2, 3, 4, 2, 6, 1, 11, 0, 3, 6, 9, 19, 0, 19, 14, 8, 0, 2, 0, 3, 2, 0, 0, 0, 17, 2, 9, 0, 7, 0, 2, 0, 0, 0, 5, 8, 0, 4, 5, 0, 1, 5, 12, 13, 0, 2, 4, 4, 8]\n",
      "[4, 0, 2, 1, 1, 1, 0, 4, 1, 2, 0, 12, 2, 8, 6, 20, 10, 0, 18, 11, 9, 1, 1, 1, 2, 3, 0, 3, 0, 15, 2, 10, 0, 6, 0, 3, 4, 0, 3, 7, 9, 1, 4, 3, 2, 3, 1, 2, 5, 1, 0, 1, 1, 5]\n",
      "[4, 0, 1, 2, 0, 1, 0, 6, 0, 0, 1, 14, 1, 3, 10, 14, 12, 0, 23, 22, 11, 0, 0, 0, 9, 1, 0, 3, 0, 7, 2, 12, 0, 9, 0, 4, 0, 0, 5, 4, 8, 3, 8, 3, 0, 0, 6, 3, 7, 0, 1, 2, 1, 6]\n",
      "[14, 28, 5, 2, 0, 2, 2, 8, 5, 8, 8, 21, 3, 13, 8, 6, 3, 1, 12, 20, 22, 1, 5, 0, 0, 14, 0, 6, 0, 23, 3, 17, 0, 10, 0, 6, 6, 0, 7, 13, 9, 0, 4, 7, 2, 2, 3, 1, 3, 1, 1, 5, 3, 8]\n",
      "[3, 3, 8, 5, 0, 3, 0, 2, 4, 4, 0, 6, 3, 8, 15, 19, 18, 0, 11, 17, 8, 1, 0, 0, 3, 3, 0, 3, 0, 20, 4, 11, 0, 12, 1, 3, 1, 0, 6, 15, 12, 0, 7, 3, 2, 3, 7, 5, 16, 1, 1, 4, 10, 9]\n",
      "[3, 2, 5, 1, 4, 1, 2, 3, 1, 2, 0, 5, 3, 4, 8, 14, 14, 1, 21, 28, 5, 1, 0, 0, 5, 8, 0, 2, 0, 25, 2, 11, 0, 5, 0, 6, 3, 0, 4, 4, 5, 1, 0, 6, 0, 1, 5, 5, 2, 1, 0, 3, 2, 9]\n",
      "[7, 13, 11, 10, 0, 0, 0, 6, 4, 3, 1, 8, 3, 10, 8, 11, 5, 0, 19, 14, 9, 0, 2, 0, 0, 9, 0, 4, 0, 18, 5, 11, 0, 8, 1, 4, 2, 0, 2, 17, 19, 1, 6, 7, 5, 1, 6, 1, 2, 0, 0, 4, 3, 14]\n",
      "[2, 4, 1, 6, 0, 1, 1, 2, 2, 0, 3, 7, 3, 6, 3, 18, 10, 1, 11, 14, 8, 0, 1, 0, 2, 2, 0, 2, 0, 15, 1, 17, 0, 2, 5, 2, 2, 0, 2, 7, 5, 0, 1, 3, 2, 0, 2, 8, 17, 1, 0, 3, 6, 8]\n",
      "[16, 25, 11, 4, 0, 1, 0, 7, 6, 10, 16, 13, 1, 10, 5, 7, 4, 1, 14, 12, 12, 1, 3, 0, 0, 6, 0, 2, 0, 21, 4, 7, 0, 7, 0, 2, 7, 0, 3, 12, 11, 0, 7, 4, 2, 1, 4, 2, 4, 0, 0, 4, 6, 11]\n",
      "[3, 7, 5, 9, 0, 2, 0, 4, 2, 15, 2, 11, 1, 12, 11, 9, 16, 0, 22, 11, 6, 1, 1, 0, 1, 6, 0, 5, 0, 13, 4, 10, 0, 4, 1, 4, 8, 0, 3, 23, 17, 1, 15, 5, 4, 6, 7, 1, 5, 0, 3, 4, 6, 14]\n",
      "[7, 4, 6, 5, 1, 0, 1, 9, 1, 4, 0, 24, 6, 6, 11, 18, 12, 0, 24, 13, 10, 0, 1, 0, 5, 4, 0, 6, 0, 14, 4, 16, 0, 5, 3, 8, 6, 0, 4, 9, 3, 0, 7, 9, 2, 2, 3, 6, 10, 2, 1, 2, 3, 6]\n",
      "[3, 1, 4, 5, 0, 1, 0, 7, 2, 0, 0, 5, 1, 9, 8, 12, 11, 0, 10, 25, 7, 0, 2, 1, 3, 3, 0, 2, 0, 14, 8, 22, 0, 5, 1, 5, 3, 0, 2, 10, 12, 0, 5, 2, 2, 2, 6, 4, 11, 1, 0, 5, 4, 12]\n",
      "[10, 27, 9, 8, 0, 3, 1, 8, 7, 8, 4, 31, 3, 14, 8, 8, 11, 0, 12, 24, 15, 0, 0, 0, 0, 6, 0, 8, 0, 25, 6, 14, 1, 7, 2, 4, 5, 0, 2, 12, 14, 2, 7, 3, 5, 1, 4, 0, 1, 0, 0, 2, 7, 12]\n",
      "[13, 33, 7, 6, 0, 4, 1, 7, 8, 6, 7, 13, 3, 15, 12, 7, 3, 4, 13, 10, 16, 4, 2, 0, 0, 15, 0, 5, 0, 31, 3, 19, 1, 9, 0, 8, 8, 0, 5, 17, 6, 0, 9, 3, 1, 1, 4, 2, 9, 0, 0, 1, 3, 15]\n",
      "[8, 35, 9, 4, 0, 1, 2, 7, 7, 6, 4, 25, 1, 11, 16, 5, 4, 1, 19, 36, 11, 2, 3, 0, 0, 7, 0, 6, 0, 20, 10, 8, 2, 8, 1, 10, 4, 0, 2, 13, 10, 1, 5, 2, 1, 3, 5, 1, 18, 1, 0, 2, 3, 10]\n",
      "[12, 27, 14, 8, 2, 2, 3, 5, 7, 7, 2, 17, 2, 12, 10, 1, 2, 0, 21, 23, 15, 2, 0, 0, 1, 10, 0, 5, 0, 18, 5, 21, 0, 10, 1, 8, 6, 0, 2, 17, 15, 1, 11, 15, 5, 2, 2, 1, 5, 0, 0, 3, 4, 6]\n",
      "[14, 27, 9, 10, 1, 1, 1, 8, 3, 8, 0, 29, 5, 4, 8, 22, 12, 1, 16, 8, 15, 0, 1, 0, 0, 8, 0, 5, 0, 29, 5, 16, 0, 4, 0, 7, 5, 0, 5, 11, 19, 0, 8, 6, 2, 1, 3, 3, 11, 0, 1, 5, 6, 10]\n",
      "[2, 8, 2, 3, 0, 0, 0, 2, 8, 4, 0, 8, 0, 9, 8, 4, 6, 0, 20, 32, 6, 0, 0, 0, 0, 4, 0, 2, 0, 13, 9, 2, 0, 5, 1, 0, 2, 0, 2, 18, 20, 4, 14, 11, 5, 3, 4, 1, 1, 0, 0, 2, 4, 10]\n",
      "[3, 7, 0, 6, 1, 1, 0, 1, 2, 11, 5, 12, 1, 15, 10, 7, 11, 0, 19, 15, 5, 0, 1, 0, 0, 6, 0, 6, 0, 24, 7, 9, 0, 3, 0, 4, 6, 0, 6, 19, 16, 0, 13, 10, 7, 4, 3, 0, 2, 0, 0, 3, 7, 19]\n",
      "[8, 26, 10, 4, 3, 3, 5, 4, 3, 6, 0, 11, 2, 11, 13, 9, 11, 0, 9, 20, 17, 1, 1, 0, 0, 11, 0, 2, 0, 15, 7, 10, 0, 4, 0, 2, 3, 1, 3, 14, 8, 0, 5, 5, 1, 6, 2, 5, 4, 1, 2, 3, 2, 8]\n",
      "[11, 36, 9, 3, 0, 1, 1, 7, 5, 5, 4, 17, 2, 9, 10, 11, 5, 5, 7, 8, 12, 2, 2, 0, 0, 4, 0, 3, 0, 34, 7, 11, 0, 7, 0, 8, 12, 0, 1, 8, 5, 1, 5, 6, 1, 2, 3, 1, 7, 0, 2, 1, 3, 3]\n",
      "[1, 8, 8, 8, 0, 2, 5, 3, 1, 2, 3, 6, 0, 12, 9, 19, 21, 0, 15, 23, 20, 1, 0, 1, 2, 3, 0, 0, 0, 17, 5, 20, 1, 7, 0, 4, 2, 0, 1, 9, 5, 0, 5, 3, 1, 3, 8, 10, 16, 4, 1, 2, 5, 18]\n",
      "[2, 0, 1, 1, 0, 1, 0, 3, 1, 2, 1, 10, 1, 6, 15, 11, 12, 0, 19, 21, 5, 0, 1, 1, 3, 1, 0, 2, 0, 17, 3, 13, 0, 6, 1, 4, 0, 0, 3, 4, 5, 0, 1, 5, 0, 0, 2, 1, 8, 0, 3, 4, 3, 2]\n",
      "[15, 40, 6, 9, 0, 3, 1, 8, 5, 7, 9, 12, 3, 14, 19, 5, 3, 1, 11, 9, 23, 1, 3, 0, 0, 14, 0, 7, 0, 30, 3, 9, 1, 3, 2, 3, 10, 0, 1, 17, 4, 0, 5, 7, 2, 1, 3, 1, 5, 1, 0, 3, 7, 10]\n",
      "[3, 0, 8, 2, 0, 3, 0, 3, 2, 2, 1, 8, 0, 2, 9, 14, 14, 1, 24, 21, 8, 0, 2, 2, 3, 7, 0, 6, 0, 18, 7, 18, 0, 6, 1, 3, 4, 0, 2, 6, 6, 0, 6, 3, 2, 0, 1, 0, 13, 3, 4, 3, 2, 5]\n",
      "[3, 6, 3, 6, 0, 0, 0, 3, 3, 0, 4, 7, 0, 15, 12, 13, 12, 0, 8, 21, 14, 3, 1, 1, 4, 5, 0, 4, 0, 14, 7, 19, 1, 11, 1, 3, 0, 0, 1, 8, 8, 0, 1, 1, 1, 0, 0, 8, 17, 4, 5, 5, 6, 6]\n",
      "[3, 2, 5, 5, 0, 1, 0, 7, 2, 4, 3, 5, 3, 10, 6, 12, 9, 0, 16, 22, 8, 0, 1, 0, 4, 5, 0, 3, 0, 21, 0, 14, 0, 4, 0, 3, 2, 0, 1, 4, 9, 2, 6, 4, 3, 0, 2, 3, 6, 2, 4, 4, 2, 6]\n",
      "[2, 2, 6, 4, 0, 0, 0, 3, 0, 1, 3, 7, 4, 3, 9, 17, 12, 0, 12, 20, 3, 0, 2, 1, 2, 8, 0, 0, 0, 21, 2, 16, 0, 3, 3, 6, 2, 0, 1, 5, 5, 0, 9, 8, 0, 1, 7, 3, 12, 3, 4, 3, 7, 9]\n",
      "[5, 6, 6, 5, 0, 0, 0, 2, 2, 1, 3, 8, 1, 6, 8, 10, 12, 0, 17, 26, 5, 1, 3, 0, 5, 2, 0, 1, 0, 18, 4, 12, 1, 7, 0, 3, 3, 0, 1, 10, 19, 1, 22, 5, 3, 0, 4, 5, 14, 3, 6, 3, 12, 16]\n",
      "[6, 1, 11, 5, 2, 3, 0, 2, 1, 5, 2, 8, 2, 3, 8, 14, 14, 0, 13, 20, 10, 1, 1, 0, 1, 3, 0, 3, 0, 14, 8, 16, 0, 8, 2, 0, 1, 0, 1, 5, 6, 1, 2, 6, 3, 1, 1, 9, 13, 6, 5, 0, 4, 3]\n",
      "[2, 0, 2, 3, 0, 3, 1, 6, 5, 2, 1, 6, 3, 2, 11, 14, 8, 0, 18, 19, 10, 0, 1, 0, 6, 0, 0, 5, 0, 7, 8, 13, 0, 10, 1, 4, 3, 0, 2, 8, 6, 0, 6, 7, 0, 1, 3, 4, 12, 2, 4, 4, 2, 7]\n",
      "[19, 36, 18, 5, 0, 7, 1, 16, 12, 8, 11, 17, 2, 23, 15, 4, 1, 0, 14, 29, 29, 0, 4, 0, 0, 9, 0, 6, 0, 29, 6, 15, 0, 9, 3, 10, 5, 0, 3, 15, 6, 0, 3, 2, 3, 1, 3, 1, 4, 1, 2, 5, 5, 4]\n",
      "[2, 10, 9, 11, 2, 0, 2, 3, 4, 6, 0, 18, 3, 7, 11, 10, 6, 0, 11, 26, 10, 0, 6, 0, 0, 3, 0, 6, 0, 23, 7, 17, 0, 12, 1, 7, 8, 0, 1, 16, 15, 1, 11, 6, 4, 6, 5, 1, 1, 2, 2, 2, 2, 5]\n",
      "[1, 9, 1, 2, 0, 4, 3, 1, 1, 10, 0, 4, 2, 16, 10, 13, 9, 2, 20, 19, 8, 0, 0, 1, 0, 7, 0, 1, 0, 27, 11, 7, 0, 3, 2, 3, 6, 0, 1, 18, 12, 0, 4, 8, 5, 3, 2, 1, 8, 0, 4, 3, 3, 11]\n",
      "[4, 33, 6, 7, 0, 3, 5, 6, 3, 12, 0, 9, 2, 14, 9, 2, 5, 2, 10, 12, 24, 3, 6, 0, 0, 5, 0, 8, 0, 19, 7, 17, 3, 6, 2, 8, 11, 1, 0, 2, 9, 4, 3, 2, 0, 4, 3, 2, 5, 2, 2, 2, 0, 11]\n",
      "[7, 38, 9, 7, 0, 4, 1, 10, 3, 5, 2, 17, 4, 8, 10, 5, 3, 1, 15, 32, 13, 0, 2, 0, 0, 5, 0, 3, 0, 13, 8, 11, 0, 2, 2, 4, 2, 0, 5, 11, 8, 2, 5, 5, 2, 3, 2, 2, 7, 0, 3, 2, 0, 5]\n",
      "[15, 34, 9, 6, 2, 1, 2, 7, 2, 3, 4, 18, 2, 9, 13, 11, 6, 3, 17, 19, 33, 4, 3, 0, 0, 12, 0, 17, 0, 16, 8, 22, 4, 12, 5, 6, 11, 1, 2, 8, 10, 0, 4, 4, 1, 2, 4, 0, 2, 1, 0, 3, 1, 11]\n",
      "[4, 3, 6, 10, 0, 0, 2, 7, 0, 0, 2, 13, 5, 7, 7, 10, 12, 0, 13, 21, 5, 0, 1, 0, 0, 4, 0, 4, 0, 12, 5, 13, 0, 6, 2, 3, 1, 0, 1, 9, 9, 2, 7, 3, 1, 0, 3, 12, 15, 10, 3, 3, 11, 7]\n",
      "[7, 9, 5, 7, 1, 1, 1, 4, 5, 6, 2, 10, 6, 11, 8, 9, 5, 1, 16, 17, 7, 1, 2, 0, 1, 5, 0, 5, 0, 11, 8, 11, 1, 6, 2, 5, 6, 0, 3, 14, 17, 0, 13, 5, 5, 1, 4, 3, 4, 3, 0, 2, 4, 4]\n",
      "[11, 10, 11, 5, 0, 4, 8, 4, 4, 1, 2, 10, 2, 16, 7, 6, 6, 0, 11, 20, 17, 0, 0, 0, 1, 5, 0, 3, 0, 12, 8, 14, 0, 7, 0, 4, 10, 0, 2, 13, 15, 1, 16, 8, 6, 4, 4, 2, 8, 2, 3, 4, 3, 10]\n",
      "[15, 33, 14, 5, 1, 2, 1, 18, 6, 9, 9, 36, 7, 13, 16, 13, 10, 4, 23, 18, 14, 3, 4, 0, 0, 11, 0, 1, 1, 14, 8, 19, 1, 7, 2, 7, 7, 3, 1, 12, 13, 1, 6, 3, 2, 1, 4, 8, 8, 4, 4, 4, 2, 8]\n",
      "[7, 0, 4, 5, 3, 1, 1, 4, 8, 8, 1, 11, 3, 10, 9, 15, 17, 1, 23, 21, 12, 1, 0, 0, 3, 6, 0, 7, 0, 9, 7, 13, 0, 7, 0, 2, 6, 0, 2, 8, 12, 1, 9, 6, 2, 6, 3, 4, 7, 2, 3, 2, 7, 14]\n",
      "[13, 27, 14, 6, 0, 2, 0, 8, 3, 14, 2, 19, 6, 8, 18, 12, 14, 0, 13, 17, 15, 0, 1, 0, 2, 6, 0, 3, 0, 13, 7, 13, 0, 4, 0, 5, 8, 0, 1, 17, 18, 1, 17, 6, 7, 4, 3, 3, 2, 1, 0, 2, 3, 12]\n",
      "[11, 37, 6, 6, 2, 6, 2, 7, 13, 9, 4, 38, 4, 10, 15, 5, 10, 2, 7, 5, 12, 6, 4, 0, 0, 7, 0, 5, 0, 19, 6, 8, 0, 8, 0, 7, 9, 0, 3, 13, 8, 0, 5, 4, 3, 3, 1, 3, 4, 2, 1, 2, 3, 6]\n",
      "[15, 28, 3, 3, 0, 4, 0, 7, 5, 4, 3, 18, 1, 15, 17, 4, 7, 1, 14, 16, 18, 2, 1, 0, 0, 7, 0, 8, 0, 10, 8, 11, 1, 5, 0, 1, 6, 0, 0, 13, 11, 1, 11, 10, 1, 2, 7, 1, 5, 1, 2, 2, 2, 10]\n",
      "[1, 2, 6, 8, 0, 1, 0, 5, 2, 3, 4, 16, 1, 13, 6, 16, 15, 0, 14, 14, 13, 0, 2, 0, 1, 4, 0, 1, 0, 11, 7, 17, 0, 10, 0, 5, 4, 0, 6, 11, 12, 0, 14, 7, 3, 3, 5, 11, 17, 4, 12, 2, 19, 10]\n",
      "[4, 4, 6, 4, 0, 1, 0, 5, 6, 0, 1, 7, 0, 9, 6, 9, 15, 0, 8, 32, 9, 0, 2, 0, 0, 4, 0, 4, 0, 7, 5, 15, 0, 7, 3, 2, 0, 1, 2, 3, 4, 0, 4, 4, 2, 0, 6, 13, 16, 7, 1, 1, 14, 4]\n",
      "[18, 30, 15, 3, 1, 6, 1, 7, 13, 13, 6, 14, 4, 15, 10, 6, 8, 1, 20, 10, 16, 1, 5, 0, 0, 9, 0, 5, 0, 18, 9, 11, 6, 3, 1, 8, 11, 0, 1, 9, 8, 2, 3, 8, 1, 2, 7, 5, 7, 3, 2, 1, 8, 7]\n",
      "[0, 3, 14, 9, 0, 0, 2, 9, 6, 2, 0, 7, 6, 10, 18, 11, 14, 0, 18, 19, 7, 1, 0, 1, 6, 4, 0, 3, 0, 11, 7, 11, 0, 6, 0, 6, 2, 0, 0, 8, 4, 0, 2, 5, 3, 3, 2, 3, 9, 3, 4, 4, 2, 10]\n",
      "[8, 27, 16, 1, 0, 6, 1, 10, 5, 6, 7, 12, 2, 3, 8, 11, 13, 1, 20, 7, 13, 0, 3, 0, 1, 6, 0, 4, 0, 16, 8, 15, 0, 2, 0, 3, 3, 0, 1, 5, 8, 0, 2, 7, 1, 0, 2, 4, 16, 2, 8, 3, 4, 9]\n",
      "[13, 23, 6, 3, 0, 2, 1, 7, 4, 7, 0, 19, 2, 7, 9, 5, 8, 0, 15, 6, 16, 2, 1, 1, 1, 7, 0, 7, 0, 9, 5, 16, 0, 8, 2, 3, 4, 0, 2, 13, 8, 0, 12, 3, 5, 2, 2, 3, 10, 4, 3, 0, 5, 10]\n",
      "[3, 7, 5, 6, 0, 5, 2, 4, 2, 3, 3, 7, 1, 6, 6, 32, 25, 3, 13, 21, 14, 6, 2, 1, 1, 4, 0, 2, 0, 20, 5, 14, 0, 9, 1, 0, 3, 0, 2, 8, 5, 0, 6, 2, 1, 2, 1, 13, 14, 8, 3, 2, 9, 14]\n",
      "[13, 33, 10, 5, 0, 1, 2, 3, 9, 5, 2, 22, 4, 6, 12, 14, 12, 4, 19, 10, 17, 3, 2, 1, 0, 13, 0, 10, 0, 15, 1, 15, 2, 6, 3, 11, 13, 0, 1, 9, 6, 0, 4, 2, 0, 0, 1, 3, 8, 3, 1, 0, 4, 4]\n",
      "[16, 29, 7, 5, 0, 6, 2, 7, 5, 3, 2, 15, 4, 12, 15, 6, 5, 0, 9, 13, 29, 3, 0, 0, 0, 13, 0, 4, 0, 10, 7, 28, 1, 8, 1, 4, 3, 0, 1, 14, 15, 0, 4, 4, 5, 1, 5, 1, 6, 1, 1, 5, 3, 11]\n",
      "[0, 0, 2, 2, 0, 0, 1, 2, 4, 3, 0, 7, 1, 13, 7, 10, 14, 0, 16, 28, 8, 0, 0, 3, 6, 4, 0, 5, 0, 13, 5, 16, 0, 6, 5, 2, 3, 0, 2, 8, 11, 1, 3, 2, 1, 3, 4, 3, 3, 5, 2, 3, 2, 3]\n",
      "[1, 2, 6, 5, 0, 5, 1, 3, 0, 0, 2, 4, 0, 6, 3, 7, 18, 0, 14, 21, 8, 1, 0, 0, 1, 2, 0, 1, 0, 9, 6, 15, 0, 8, 2, 3, 3, 0, 2, 4, 7, 1, 3, 3, 1, 0, 3, 10, 16, 5, 7, 4, 8, 7]\n",
      "[14, 34, 12, 6, 0, 3, 2, 5, 8, 6, 4, 10, 0, 14, 13, 4, 3, 0, 5, 16, 17, 2, 0, 1, 0, 5, 0, 5, 0, 13, 11, 8, 0, 12, 0, 1, 5, 0, 5, 11, 10, 1, 6, 4, 6, 4, 6, 0, 2, 3, 0, 4, 3, 7]\n",
      "[11, 12, 4, 5, 0, 1, 7, 6, 9, 7, 0, 12, 4, 21, 14, 6, 3, 0, 22, 23, 5, 2, 0, 0, 1, 10, 0, 3, 0, 14, 6, 10, 0, 2, 1, 4, 8, 0, 4, 12, 29, 1, 15, 8, 8, 2, 3, 2, 1, 2, 1, 3, 5, 16]\n",
      "[11, 29, 10, 4, 0, 6, 1, 8, 2, 9, 3, 11, 6, 5, 19, 8, 8, 0, 11, 8, 13, 4, 3, 0, 0, 4, 0, 6, 0, 21, 4, 16, 0, 8, 2, 6, 6, 0, 3, 14, 9, 0, 7, 7, 3, 1, 3, 3, 8, 2, 3, 0, 5, 6]\n",
      "[7, 13, 13, 11, 0, 1, 2, 18, 11, 10, 3, 14, 1, 12, 9, 8, 10, 0, 18, 25, 5, 0, 1, 2, 3, 5, 0, 4, 0, 20, 8, 15, 0, 11, 1, 8, 12, 0, 3, 18, 20, 0, 9, 10, 9, 3, 4, 1, 3, 2, 4, 1, 4, 7]\n",
      "[13, 27, 11, 8, 1, 3, 2, 11, 9, 12, 10, 15, 3, 9, 11, 3, 4, 0, 14, 17, 16, 3, 0, 0, 0, 11, 0, 7, 0, 13, 8, 11, 0, 8, 2, 5, 6, 0, 2, 15, 17, 0, 9, 2, 7, 3, 5, 0, 7, 1, 3, 1, 8, 9]\n",
      "[14, 38, 5, 8, 0, 3, 3, 9, 5, 8, 8, 8, 3, 7, 22, 8, 8, 0, 10, 6, 13, 1, 2, 0, 0, 6, 0, 2, 0, 14, 3, 17, 0, 8, 2, 2, 4, 1, 1, 7, 6, 1, 7, 5, 0, 3, 5, 5, 12, 1, 7, 2, 4, 15]\n",
      "[4, 1, 7, 7, 0, 0, 2, 8, 4, 5, 1, 23, 2, 7, 17, 14, 9, 0, 13, 26, 9, 0, 1, 0, 4, 6, 0, 8, 0, 8, 5, 13, 0, 6, 0, 2, 0, 0, 2, 14, 15, 5, 15, 7, 1, 4, 4, 2, 6, 0, 4, 6, 5, 21]\n",
      "[17, 23, 13, 5, 0, 1, 3, 10, 4, 1, 1, 10, 1, 7, 11, 15, 10, 2, 8, 14, 20, 3, 2, 0, 0, 16, 0, 9, 0, 15, 3, 10, 1, 4, 1, 6, 8, 0, 2, 11, 9, 0, 5, 6, 5, 1, 1, 5, 14, 5, 4, 1, 7, 8]\n",
      "[3, 24, 7, 5, 1, 5, 6, 4, 2, 18, 1, 7, 8, 6, 11, 17, 7, 0, 13, 13, 16, 0, 0, 0, 1, 5, 0, 8, 0, 11, 8, 10, 0, 14, 0, 2, 2, 0, 1, 7, 10, 0, 6, 3, 3, 2, 3, 2, 7, 0, 2, 6, 5, 10]\n",
      "[10, 36, 8, 5, 0, 5, 3, 7, 6, 7, 1, 11, 2, 8, 11, 6, 2, 0, 12, 15, 18, 4, 0, 0, 0, 7, 0, 3, 0, 11, 10, 20, 1, 6, 1, 6, 13, 0, 4, 11, 12, 1, 5, 3, 0, 0, 5, 4, 8, 3, 1, 2, 2, 8]\n",
      "[3, 0, 3, 3, 0, 1, 0, 3, 1, 2, 0, 4, 0, 5, 13, 10, 10, 1, 16, 22, 10, 0, 1, 2, 3, 3, 0, 4, 0, 10, 5, 14, 0, 1, 1, 4, 0, 0, 2, 3, 4, 1, 6, 3, 0, 1, 3, 4, 3, 3, 0, 4, 1, 5]\n",
      "[4, 1, 6, 4, 0, 1, 2, 7, 2, 1, 2, 8, 3, 12, 12, 9, 12, 2, 16, 16, 10, 1, 0, 2, 3, 4, 1, 3, 1, 7, 3, 31, 1, 17, 2, 6, 4, 0, 2, 7, 6, 0, 2, 6, 1, 2, 3, 9, 18, 6, 5, 3, 11, 9]\n",
      "[11, 32, 13, 7, 0, 1, 1, 11, 6, 5, 1, 20, 5, 7, 14, 11, 11, 0, 13, 5, 9, 1, 2, 0, 0, 8, 0, 9, 0, 12, 9, 10, 0, 8, 0, 2, 5, 0, 5, 13, 12, 0, 7, 3, 3, 2, 3, 3, 7, 1, 3, 4, 4, 7]\n",
      "[11, 26, 11, 3, 0, 3, 4, 12, 10, 10, 10, 20, 3, 10, 16, 8, 6, 0, 12, 7, 18, 4, 4, 0, 0, 5, 0, 6, 0, 22, 2, 23, 0, 11, 5, 8, 11, 0, 1, 8, 11, 0, 1, 5, 0, 4, 2, 4, 4, 1, 1, 2, 1, 3]\n",
      "[10, 22, 17, 7, 0, 6, 6, 7, 6, 12, 3, 26, 7, 19, 16, 13, 3, 3, 16, 5, 17, 5, 1, 0, 0, 11, 0, 9, 0, 15, 4, 26, 1, 6, 5, 3, 5, 0, 1, 8, 8, 3, 7, 7, 5, 4, 6, 1, 10, 1, 4, 3, 6, 14]\n",
      "[3, 1, 12, 3, 0, 0, 1, 3, 2, 0, 1, 11, 4, 13, 12, 10, 9, 1, 19, 24, 7, 0, 0, 2, 5, 7, 0, 3, 0, 11, 5, 21, 0, 10, 2, 5, 3, 0, 1, 4, 10, 3, 5, 4, 1, 0, 2, 8, 14, 2, 8, 2, 2, 8]\n",
      "[13, 22, 8, 7, 0, 3, 1, 8, 1, 2, 1, 21, 8, 7, 11, 8, 6, 0, 4, 13, 23, 1, 2, 0, 0, 10, 0, 2, 0, 18, 7, 7, 0, 6, 0, 6, 6, 0, 2, 14, 9, 1, 8, 6, 1, 2, 8, 1, 3, 0, 1, 1, 3, 5]\n",
      "[5, 6, 5, 3, 0, 0, 2, 4, 2, 1, 3, 8, 3, 8, 19, 17, 17, 1, 11, 19, 4, 1, 1, 0, 4, 7, 0, 2, 0, 10, 4, 13, 0, 8, 2, 2, 1, 0, 1, 11, 10, 0, 9, 5, 0, 2, 3, 13, 14, 6, 6, 3, 11, 8]\n",
      "[16, 30, 10, 2, 2, 5, 0, 9, 3, 3, 0, 24, 3, 8, 19, 7, 9, 0, 13, 7, 15, 3, 2, 0, 0, 3, 0, 5, 0, 9, 5, 13, 0, 6, 0, 4, 6, 0, 2, 9, 10, 0, 9, 4, 0, 1, 5, 7, 14, 2, 6, 1, 6, 3]\n",
      "[8, 9, 8, 6, 0, 0, 3, 4, 4, 7, 1, 17, 1, 15, 11, 7, 8, 0, 15, 28, 9, 1, 2, 0, 1, 9, 0, 7, 0, 11, 13, 12, 0, 6, 1, 1, 5, 0, 1, 9, 13, 2, 19, 11, 2, 0, 1, 1, 3, 1, 4, 3, 3, 8]\n",
      "[8, 7, 6, 3, 0, 2, 4, 6, 2, 6, 0, 12, 4, 16, 10, 7, 5, 0, 22, 33, 7, 0, 3, 0, 1, 5, 0, 4, 0, 12, 11, 16, 0, 8, 0, 4, 4, 0, 1, 17, 14, 1, 4, 7, 4, 2, 4, 4, 7, 2, 3, 3, 7, 6]\n",
      "[13, 30, 14, 6, 2, 6, 4, 19, 2, 4, 1, 18, 4, 11, 12, 10, 10, 1, 15, 9, 8, 2, 1, 0, 0, 11, 0, 5, 0, 13, 7, 17, 0, 9, 2, 7, 12, 0, 0, 7, 6, 0, 2, 8, 0, 4, 5, 3, 9, 0, 5, 2, 1, 4]\n",
      "[2, 5, 4, 11, 1, 2, 0, 7, 5, 3, 4, 9, 2, 14, 8, 6, 7, 0, 26, 20, 3, 0, 0, 1, 0, 8, 0, 0, 0, 15, 9, 15, 0, 6, 2, 4, 5, 0, 3, 12, 25, 1, 13, 5, 3, 1, 4, 2, 8, 0, 3, 1, 2, 13]\n",
      "[5, 0, 5, 5, 0, 2, 2, 3, 4, 3, 0, 11, 2, 7, 6, 14, 11, 0, 10, 19, 5, 0, 0, 2, 1, 9, 0, 1, 0, 3, 7, 14, 0, 6, 2, 2, 3, 0, 4, 11, 11, 4, 6, 1, 1, 2, 7, 2, 3, 2, 1, 1, 4, 5]\n",
      "[6, 31, 14, 2, 1, 3, 6, 9, 10, 5, 2, 19, 3, 8, 14, 10, 4, 4, 11, 11, 17, 2, 1, 0, 0, 6, 0, 3, 0, 9, 6, 32, 1, 7, 2, 9, 5, 0, 6, 11, 8, 1, 9, 2, 1, 3, 4, 3, 3, 1, 2, 4, 0, 3]\n",
      "[2, 10, 4, 6, 0, 4, 3, 9, 5, 2, 4, 12, 2, 13, 10, 18, 15, 0, 7, 20, 13, 0, 4, 1, 1, 5, 0, 0, 0, 9, 12, 19, 1, 7, 1, 5, 4, 0, 3, 12, 8, 0, 7, 5, 3, 1, 2, 7, 11, 8, 5, 1, 7, 8]\n",
      "[12, 17, 10, 9, 2, 0, 1, 7, 2, 2, 1, 19, 4, 5, 3, 13, 10, 0, 16, 16, 15, 0, 0, 0, 0, 6, 0, 4, 0, 16, 6, 9, 0, 4, 0, 3, 7, 0, 1, 9, 8, 1, 8, 1, 4, 1, 5, 4, 14, 0, 4, 1, 5, 7]\n",
      "[14, 27, 10, 5, 0, 2, 1, 12, 6, 2, 2, 17, 1, 7, 11, 3, 5, 1, 5, 11, 16, 2, 0, 0, 0, 8, 0, 2, 0, 15, 11, 14, 0, 7, 0, 4, 6, 0, 5, 12, 7, 1, 4, 7, 11, 1, 4, 2, 6, 2, 3, 2, 4, 4]\n",
      "[4, 5, 8, 4, 2, 4, 1, 5, 2, 1, 1, 14, 1, 1, 10, 10, 14, 0, 16, 17, 7, 0, 0, 0, 0, 11, 0, 5, 0, 16, 10, 8, 0, 8, 1, 3, 7, 0, 1, 6, 11, 0, 7, 6, 1, 1, 7, 7, 11, 4, 3, 2, 15, 6]\n",
      "[13, 32, 13, 5, 0, 5, 2, 2, 4, 9, 5, 18, 2, 12, 14, 7, 6, 0, 7, 5, 17, 1, 1, 0, 0, 8, 0, 3, 0, 9, 6, 17, 0, 7, 0, 3, 4, 0, 2, 11, 11, 0, 5, 3, 3, 1, 4, 9, 13, 4, 7, 3, 11, 11]\n",
      "[19, 30, 6, 8, 0, 4, 2, 4, 13, 2, 6, 16, 3, 9, 12, 7, 8, 3, 12, 14, 24, 6, 1, 0, 0, 12, 0, 8, 0, 20, 6, 18, 11, 9, 2, 5, 13, 1, 4, 13, 15, 0, 16, 4, 7, 0, 8, 2, 7, 1, 2, 4, 3, 11]\n",
      "[4, 3, 7, 5, 1, 0, 0, 0, 3, 8, 5, 15, 2, 9, 12, 4, 5, 0, 15, 6, 12, 1, 2, 0, 1, 7, 1, 3, 0, 19, 5, 16, 0, 6, 6, 3, 5, 1, 3, 11, 15, 1, 6, 11, 3, 2, 6, 1, 10, 0, 4, 4, 2, 14]\n",
      "[16, 29, 13, 5, 0, 1, 1, 7, 9, 4, 2, 32, 5, 9, 14, 9, 4, 3, 16, 18, 18, 2, 2, 0, 0, 8, 0, 4, 0, 16, 9, 7, 0, 7, 0, 3, 7, 0, 3, 11, 5, 0, 7, 7, 3, 3, 3, 2, 11, 2, 3, 1, 3, 7]\n",
      "[3, 1, 1, 3, 0, 1, 0, 2, 2, 3, 0, 3, 2, 5, 8, 11, 17, 0, 13, 29, 4, 0, 1, 1, 3, 4, 0, 4, 0, 10, 9, 12, 0, 5, 0, 3, 3, 0, 2, 10, 10, 4, 9, 0, 1, 2, 2, 3, 5, 3, 2, 0, 2, 10]\n",
      "[7, 31, 9, 3, 0, 1, 4, 11, 4, 7, 7, 14, 0, 7, 11, 5, 9, 0, 9, 7, 21, 3, 2, 0, 0, 5, 0, 8, 0, 17, 6, 15, 0, 6, 2, 5, 5, 0, 3, 17, 10, 0, 5, 12, 4, 0, 3, 2, 6, 1, 5, 2, 0, 9]\n",
      "[17, 28, 12, 6, 1, 6, 4, 19, 8, 11, 6, 26, 5, 25, 19, 7, 7, 0, 17, 7, 22, 1, 0, 0, 0, 8, 0, 3, 0, 12, 10, 16, 0, 13, 3, 11, 8, 1, 2, 7, 7, 0, 2, 6, 0, 2, 4, 2, 10, 0, 4, 4, 6, 5]\n",
      "[9, 12, 14, 9, 0, 0, 0, 4, 7, 8, 3, 14, 1, 5, 4, 9, 9, 0, 19, 32, 10, 0, 2, 0, 0, 14, 0, 2, 0, 18, 9, 19, 0, 5, 3, 2, 9, 0, 5, 18, 19, 2, 9, 10, 3, 5, 1, 4, 4, 4, 4, 6, 1, 11]\n",
      "[6, 19, 8, 6, 1, 5, 3, 9, 4, 12, 3, 14, 3, 22, 8, 8, 7, 0, 13, 22, 13, 2, 0, 0, 0, 5, 0, 4, 0, 13, 6, 8, 0, 4, 0, 3, 10, 0, 1, 19, 12, 2, 9, 6, 5, 5, 4, 1, 1, 1, 1, 1, 5, 7]\n",
      "[10, 28, 6, 9, 1, 3, 3, 12, 7, 6, 5, 16, 6, 13, 12, 12, 7, 6, 23, 5, 11, 2, 1, 0, 0, 10, 0, 7, 0, 18, 7, 10, 3, 3, 2, 5, 4, 0, 1, 10, 15, 1, 8, 8, 3, 1, 7, 3, 3, 2, 0, 3, 1, 2]\n",
      "[5, 11, 4, 3, 1, 0, 0, 5, 2, 7, 3, 6, 2, 15, 4, 8, 13, 0, 12, 25, 6, 0, 1, 3, 3, 10, 0, 2, 0, 9, 8, 9, 0, 9, 3, 10, 8, 0, 6, 14, 19, 5, 22, 3, 3, 4, 2, 1, 5, 0, 1, 3, 5, 13]\n",
      "[13, 35, 6, 2, 0, 4, 0, 12, 5, 0, 2, 15, 7, 15, 14, 3, 2, 0, 11, 14, 19, 1, 3, 0, 0, 8, 0, 5, 0, 20, 5, 29, 1, 15, 0, 5, 7, 0, 1, 13, 7, 0, 6, 5, 2, 3, 3, 0, 0, 1, 0, 2, 5, 6]\n",
      "[10, 11, 4, 10, 0, 1, 0, 1, 4, 0, 2, 4, 1, 11, 11, 9, 11, 1, 9, 29, 16, 0, 1, 1, 3, 7, 0, 5, 0, 12, 11, 24, 0, 12, 3, 4, 3, 0, 2, 6, 10, 0, 8, 1, 1, 1, 4, 7, 16, 6, 6, 12, 6, 9]\n",
      "[0, 0, 7, 7, 0, 3, 4, 1, 2, 1, 2, 7, 0, 3, 8, 18, 21, 2, 8, 29, 16, 0, 0, 0, 3, 2, 0, 2, 0, 9, 8, 9, 0, 5, 2, 5, 2, 0, 3, 6, 6, 0, 7, 6, 4, 3, 4, 2, 13, 1, 6, 1, 3, 5]\n",
      "[4, 0, 3, 2, 0, 2, 1, 4, 5, 0, 1, 13, 0, 6, 9, 15, 14, 0, 19, 29, 4, 1, 1, 0, 3, 2, 0, 2, 0, 10, 6, 12, 0, 4, 2, 2, 1, 0, 0, 7, 8, 0, 3, 4, 1, 2, 6, 6, 13, 6, 5, 0, 5, 8]\n",
      "[15, 30, 17, 5, 0, 1, 1, 6, 6, 7, 1, 15, 2, 6, 18, 10, 11, 2, 13, 13, 20, 4, 4, 0, 0, 11, 0, 9, 0, 19, 5, 14, 0, 3, 1, 7, 4, 0, 0, 5, 4, 0, 1, 8, 0, 0, 4, 4, 9, 1, 8, 3, 4, 6]\n",
      "[14, 13, 6, 6, 0, 1, 1, 10, 2, 5, 0, 15, 6, 6, 15, 5, 10, 1, 12, 20, 19, 1, 0, 2, 1, 7, 0, 4, 0, 13, 5, 23, 0, 8, 1, 1, 1, 0, 0, 15, 8, 1, 8, 7, 5, 1, 5, 4, 6, 3, 4, 11, 2, 6]\n",
      "[2, 3, 4, 2, 0, 1, 0, 9, 2, 5, 0, 10, 3, 6, 3, 16, 14, 0, 12, 26, 7, 0, 0, 2, 4, 6, 0, 2, 0, 7, 8, 11, 0, 6, 2, 2, 1, 0, 0, 9, 6, 0, 10, 3, 1, 2, 4, 1, 4, 3, 2, 2, 2, 11]\n",
      "[19, 12, 10, 9, 2, 2, 2, 4, 1, 0, 0, 12, 4, 11, 7, 9, 19, 0, 12, 18, 12, 1, 2, 1, 1, 10, 0, 3, 0, 19, 8, 12, 0, 6, 3, 2, 3, 0, 2, 7, 6, 0, 5, 2, 1, 1, 3, 9, 22, 4, 9, 0, 10, 11]\n",
      "[9, 22, 6, 5, 1, 2, 0, 5, 1, 9, 4, 10, 6, 21, 7, 3, 1, 0, 14, 31, 5, 0, 3, 0, 0, 13, 0, 7, 0, 20, 16, 10, 0, 4, 1, 5, 9, 0, 3, 18, 23, 3, 13, 7, 3, 3, 2, 2, 1, 0, 0, 1, 5, 9]\n",
      "[16, 31, 14, 7, 0, 3, 4, 13, 2, 7, 1, 16, 4, 6, 10, 6, 5, 0, 13, 20, 17, 2, 4, 0, 0, 11, 0, 6, 0, 10, 14, 18, 0, 7, 1, 4, 7, 0, 1, 9, 25, 1, 10, 7, 6, 0, 6, 0, 1, 0, 1, 3, 4, 10]\n",
      "[1, 2, 6, 2, 0, 2, 2, 6, 4, 1, 0, 15, 4, 9, 6, 14, 13, 0, 14, 23, 11, 2, 2, 1, 5, 6, 0, 6, 0, 9, 5, 16, 0, 2, 3, 1, 5, 0, 1, 4, 3, 0, 7, 3, 1, 2, 3, 2, 9, 1, 2, 2, 5, 6]\n",
      "[11, 12, 14, 6, 1, 2, 0, 8, 1, 2, 3, 18, 3, 3, 11, 9, 18, 5, 8, 21, 19, 1, 0, 1, 0, 8, 0, 1, 0, 16, 10, 9, 0, 6, 3, 2, 6, 0, 1, 7, 12, 0, 7, 5, 1, 0, 6, 8, 16, 2, 7, 1, 11, 6]\n",
      "[15, 27, 9, 5, 1, 1, 3, 12, 9, 8, 4, 13, 4, 20, 15, 5, 2, 0, 11, 6, 18, 1, 0, 1, 0, 12, 1, 8, 0, 26, 8, 9, 3, 3, 3, 6, 2, 1, 5, 15, 15, 0, 5, 1, 1, 1, 4, 3, 7, 1, 1, 0, 1, 8]\n",
      "[10, 26, 9, 6, 0, 4, 3, 8, 2, 6, 9, 17, 5, 13, 20, 7, 0, 0, 8, 17, 16, 2, 1, 0, 0, 12, 0, 8, 0, 17, 7, 16, 0, 4, 1, 2, 6, 0, 1, 16, 17, 1, 13, 5, 3, 6, 7, 0, 3, 2, 2, 1, 7, 6]\n",
      "[6, 31, 16, 5, 0, 1, 4, 14, 6, 6, 2, 15, 3, 10, 22, 4, 9, 1, 15, 19, 16, 0, 4, 0, 0, 14, 0, 9, 0, 17, 5, 21, 0, 7, 0, 10, 6, 0, 1, 6, 5, 1, 7, 4, 0, 0, 4, 4, 5, 2, 1, 1, 1, 8]\n",
      "[13, 22, 15, 3, 0, 3, 3, 16, 4, 4, 5, 25, 5, 9, 16, 7, 10, 0, 15, 6, 21, 1, 3, 0, 0, 9, 1, 3, 0, 15, 7, 14, 0, 6, 0, 4, 4, 0, 5, 6, 7, 0, 4, 2, 1, 3, 4, 2, 4, 1, 1, 3, 5, 8]\n",
      "[21, 24, 9, 7, 0, 4, 1, 12, 3, 2, 4, 11, 3, 16, 14, 4, 5, 0, 9, 19, 14, 0, 1, 0, 0, 4, 0, 6, 0, 19, 12, 14, 0, 6, 0, 1, 2, 0, 2, 11, 11, 0, 5, 6, 10, 5, 4, 0, 7, 0, 2, 1, 3, 6]\n",
      "[7, 30, 7, 12, 0, 2, 0, 8, 5, 9, 2, 21, 7, 9, 5, 12, 9, 0, 21, 18, 20, 2, 3, 0, 0, 8, 0, 5, 0, 11, 8, 12, 0, 5, 0, 5, 7, 1, 2, 15, 18, 1, 12, 9, 3, 3, 0, 2, 1, 0, 0, 3, 6, 8]\n",
      "[1, 0, 9, 5, 0, 0, 1, 0, 2, 4, 1, 10, 1, 9, 13, 17, 17, 0, 10, 27, 9, 1, 0, 0, 3, 4, 0, 5, 0, 11, 12, 9, 0, 5, 3, 0, 2, 0, 2, 17, 7, 0, 4, 4, 0, 2, 6, 1, 16, 1, 8, 2, 4, 9]\n",
      "[11, 33, 7, 11, 0, 1, 2, 6, 12, 6, 2, 23, 5, 9, 13, 7, 10, 1, 11, 6, 17, 3, 2, 0, 0, 10, 0, 4, 0, 8, 6, 15, 0, 7, 3, 4, 8, 0, 5, 10, 10, 1, 13, 8, 2, 2, 4, 2, 3, 3, 1, 3, 7, 15]\n",
      "[4, 5, 6, 6, 0, 1, 1, 4, 3, 2, 0, 13, 1, 4, 13, 16, 11, 0, 16, 24, 7, 0, 0, 0, 4, 6, 0, 4, 0, 9, 6, 14, 0, 4, 5, 3, 2, 0, 2, 9, 8, 0, 8, 3, 3, 0, 3, 2, 6, 3, 1, 1, 1, 8]\n",
      "[8, 21, 7, 8, 1, 0, 1, 7, 1, 4, 2, 7, 3, 14, 4, 6, 2, 0, 14, 19, 8, 0, 2, 0, 0, 5, 0, 5, 0, 7, 12, 9, 0, 4, 3, 3, 7, 0, 0, 13, 15, 0, 10, 7, 5, 3, 2, 3, 5, 0, 4, 0, 5, 14]\n",
      "[10, 26, 8, 6, 0, 4, 1, 7, 11, 4, 7, 18, 1, 11, 13, 2, 0, 0, 10, 11, 10, 0, 5, 0, 0, 14, 0, 4, 0, 19, 6, 17, 1, 12, 1, 8, 11, 0, 2, 14, 9, 0, 5, 7, 0, 1, 5, 0, 5, 0, 5, 6, 1, 2]\n",
      "[19, 27, 27, 7, 0, 7, 1, 9, 8, 7, 4, 20, 3, 15, 18, 15, 14, 2, 24, 14, 23, 1, 4, 1, 1, 8, 0, 6, 1, 19, 2, 24, 2, 7, 6, 7, 13, 0, 0, 14, 13, 2, 8, 4, 1, 4, 1, 3, 10, 0, 7, 1, 5, 11]\n",
      "[14, 34, 16, 5, 1, 4, 1, 13, 10, 9, 14, 25, 5, 13, 9, 12, 7, 5, 13, 28, 13, 4, 1, 0, 1, 17, 1, 8, 0, 14, 7, 20, 0, 4, 1, 2, 3, 0, 2, 13, 15, 0, 11, 6, 3, 0, 4, 0, 4, 1, 2, 3, 4, 8]\n",
      "[10, 36, 14, 7, 0, 7, 2, 11, 5, 4, 2, 16, 1, 10, 12, 5, 3, 0, 11, 14, 19, 2, 2, 0, 0, 13, 0, 11, 0, 16, 6, 24, 0, 5, 4, 4, 6, 0, 1, 11, 12, 0, 9, 8, 3, 3, 8, 3, 13, 1, 5, 2, 3, 8]\n",
      "[7, 15, 11, 10, 0, 0, 2, 4, 8, 4, 2, 11, 4, 9, 6, 15, 16, 0, 5, 29, 14, 1, 0, 1, 3, 12, 0, 7, 0, 11, 7, 8, 0, 6, 0, 2, 2, 0, 2, 10, 10, 0, 11, 5, 1, 3, 4, 10, 11, 3, 10, 5, 8, 8]\n",
      "[12, 33, 10, 3, 0, 0, 0, 10, 5, 2, 4, 26, 10, 8, 18, 9, 6, 4, 9, 12, 9, 6, 4, 0, 0, 8, 0, 7, 0, 18, 7, 14, 0, 4, 0, 3, 8, 0, 2, 13, 10, 0, 4, 5, 4, 2, 2, 3, 8, 1, 4, 0, 2, 5]\n",
      "[19, 36, 17, 3, 1, 4, 0, 12, 6, 5, 7, 21, 7, 11, 20, 11, 9, 2, 15, 30, 17, 0, 1, 0, 0, 9, 0, 7, 0, 20, 9, 14, 1, 5, 0, 1, 7, 1, 0, 15, 6, 0, 5, 2, 3, 2, 3, 2, 6, 2, 2, 1, 3, 4]\n",
      "[7, 6, 10, 12, 0, 0, 4, 6, 4, 0, 1, 11, 3, 2, 5, 11, 15, 0, 9, 25, 17, 2, 2, 0, 0, 6, 0, 4, 0, 17, 11, 6, 0, 2, 0, 5, 5, 0, 0, 7, 11, 0, 5, 4, 2, 3, 2, 9, 12, 5, 7, 5, 6, 7]\n",
      "[12, 27, 9, 3, 0, 6, 3, 9, 9, 7, 3, 10, 0, 8, 10, 7, 1, 1, 10, 29, 25, 6, 1, 0, 0, 11, 0, 4, 0, 16, 5, 13, 1, 5, 2, 5, 6, 0, 6, 15, 5, 0, 5, 10, 3, 4, 5, 3, 4, 2, 3, 3, 5, 10]\n",
      "[6, 29, 11, 1, 0, 5, 0, 6, 6, 3, 1, 16, 7, 6, 14, 3, 1, 0, 9, 12, 20, 4, 0, 0, 0, 7, 0, 9, 0, 21, 5, 21, 2, 8, 0, 5, 8, 0, 7, 8, 9, 0, 10, 3, 3, 3, 4, 1, 6, 3, 2, 4, 3, 6]\n",
      "[12, 35, 11, 3, 0, 2, 6, 7, 8, 10, 4, 23, 6, 11, 15, 7, 4, 0, 14, 11, 19, 3, 4, 0, 0, 12, 0, 3, 0, 23, 3, 17, 2, 18, 0, 7, 8, 0, 3, 13, 11, 0, 9, 5, 6, 1, 7, 5, 3, 2, 1, 4, 1, 10]\n",
      "[8, 31, 8, 8, 0, 1, 2, 13, 9, 5, 6, 11, 1, 8, 16, 10, 5, 0, 18, 14, 18, 2, 3, 0, 0, 18, 0, 4, 0, 11, 4, 18, 0, 6, 0, 4, 7, 1, 3, 26, 19, 1, 13, 7, 6, 0, 4, 3, 7, 2, 5, 2, 1, 7]\n",
      "[14, 34, 8, 8, 0, 4, 1, 9, 0, 6, 0, 12, 8, 10, 11, 10, 7, 1, 12, 14, 16, 5, 8, 0, 1, 12, 0, 2, 0, 11, 5, 19, 0, 9, 2, 2, 5, 0, 5, 15, 16, 0, 5, 7, 2, 0, 1, 0, 9, 1, 2, 2, 0, 6]\n",
      "[11, 33, 12, 5, 0, 2, 2, 7, 4, 4, 2, 20, 3, 8, 10, 7, 1, 0, 10, 29, 19, 0, 1, 0, 0, 13, 0, 1, 0, 14, 9, 12, 0, 7, 1, 2, 2, 0, 0, 13, 13, 0, 8, 10, 5, 0, 2, 2, 6, 1, 3, 4, 5, 8]\n",
      "[15, 34, 14, 4, 1, 5, 1, 22, 1, 11, 0, 18, 5, 15, 14, 3, 4, 1, 13, 19, 13, 1, 1, 0, 0, 13, 0, 5, 0, 14, 6, 18, 0, 8, 0, 6, 6, 0, 1, 11, 15, 2, 15, 2, 4, 4, 3, 2, 7, 1, 4, 5, 2, 10]\n",
      "[8, 34, 10, 7, 0, 1, 1, 12, 7, 7, 5, 12, 7, 14, 10, 0, 1, 1, 10, 22, 7, 2, 2, 0, 0, 6, 0, 9, 0, 8, 9, 19, 3, 8, 0, 3, 3, 0, 2, 15, 10, 0, 6, 5, 3, 5, 2, 1, 5, 3, 3, 1, 0, 7]\n",
      "[10, 28, 16, 5, 1, 1, 1, 6, 1, 0, 2, 11, 4, 4, 13, 7, 6, 0, 13, 13, 11, 0, 1, 0, 1, 10, 0, 8, 0, 14, 6, 19, 0, 5, 0, 8, 6, 0, 0, 8, 15, 0, 7, 9, 2, 1, 4, 6, 5, 2, 0, 2, 6, 9]\n",
      "[22, 30, 8, 3, 1, 0, 1, 8, 8, 10, 12, 24, 4, 11, 16, 12, 2, 0, 10, 7, 14, 4, 2, 0, 0, 9, 0, 10, 0, 15, 5, 15, 0, 8, 0, 5, 8, 0, 2, 13, 17, 2, 9, 10, 4, 2, 6, 2, 5, 1, 4, 13, 2, 8]\n",
      "[18, 28, 8, 5, 3, 5, 4, 4, 18, 8, 10, 11, 5, 19, 8, 7, 5, 5, 12, 21, 23, 1, 1, 0, 0, 9, 0, 7, 0, 25, 7, 18, 0, 8, 1, 8, 10, 0, 1, 14, 19, 0, 11, 8, 6, 1, 6, 3, 4, 1, 3, 4, 1, 10]\n",
      "[11, 22, 7, 5, 0, 6, 4, 7, 6, 0, 6, 21, 5, 9, 13, 5, 4, 0, 13, 12, 9, 0, 5, 0, 0, 20, 0, 5, 0, 10, 10, 19, 0, 4, 3, 6, 5, 0, 1, 9, 12, 0, 8, 9, 5, 3, 4, 2, 10, 0, 4, 4, 2, 10]\n",
      "[15, 39, 9, 3, 0, 5, 5, 6, 5, 6, 0, 12, 1, 15, 12, 2, 1, 0, 17, 13, 13, 4, 1, 0, 0, 15, 0, 7, 0, 15, 11, 23, 1, 5, 1, 4, 3, 0, 0, 11, 16, 1, 9, 7, 2, 0, 6, 1, 9, 2, 6, 7, 6, 12]\n",
      "[11, 37, 14, 3, 0, 3, 6, 5, 6, 13, 6, 17, 2, 17, 8, 4, 2, 3, 8, 22, 15, 2, 1, 0, 0, 9, 0, 3, 0, 19, 11, 6, 0, 5, 0, 3, 2, 1, 1, 8, 3, 1, 0, 6, 0, 3, 1, 0, 3, 1, 2, 3, 4, 5]\n",
      "[7, 8, 8, 4, 0, 2, 7, 4, 2, 7, 1, 12, 5, 13, 9, 7, 12, 0, 19, 26, 9, 2, 1, 1, 4, 13, 1, 6, 0, 7, 4, 17, 0, 6, 2, 1, 4, 0, 2, 7, 6, 1, 8, 5, 1, 3, 7, 2, 5, 1, 4, 4, 2, 6]\n",
      "[15, 35, 9, 6, 0, 5, 4, 3, 6, 7, 1, 13, 9, 14, 22, 7, 4, 2, 3, 16, 15, 1, 4, 0, 0, 8, 0, 4, 0, 19, 6, 20, 0, 3, 1, 7, 4, 1, 0, 7, 9, 0, 8, 2, 3, 1, 3, 1, 7, 1, 3, 5, 3, 6]\n",
      "[17, 29, 11, 6, 0, 1, 0, 12, 10, 6, 2, 28, 7, 14, 10, 16, 10, 4, 6, 10, 20, 4, 4, 0, 0, 7, 0, 4, 0, 17, 4, 18, 8, 9, 5, 4, 10, 1, 1, 13, 14, 0, 4, 3, 3, 1, 2, 1, 11, 2, 5, 3, 1, 11]\n",
      "[9, 24, 15, 6, 1, 2, 1, 5, 0, 7, 1, 13, 7, 6, 16, 16, 9, 0, 18, 13, 11, 1, 1, 3, 0, 21, 0, 6, 0, 16, 8, 18, 0, 4, 1, 6, 10, 0, 1, 11, 10, 0, 6, 4, 0, 1, 2, 2, 13, 3, 7, 2, 3, 4]\n",
      "[3, 3, 9, 7, 1, 2, 3, 3, 1, 5, 1, 13, 3, 3, 14, 19, 17, 0, 7, 23, 8, 0, 1, 2, 4, 9, 0, 8, 0, 11, 10, 19, 0, 6, 2, 2, 1, 0, 4, 9, 10, 1, 8, 3, 1, 1, 5, 8, 17, 6, 5, 3, 4, 9]\n",
      "[4, 2, 9, 7, 2, 1, 1, 2, 0, 0, 3, 13, 3, 6, 6, 8, 16, 0, 10, 21, 7, 0, 0, 0, 1, 10, 0, 6, 0, 12, 11, 26, 0, 4, 3, 2, 7, 0, 1, 4, 9, 0, 4, 3, 1, 0, 4, 11, 21, 6, 9, 3, 13, 9]\n",
      "[19, 24, 6, 4, 0, 0, 2, 2, 8, 10, 4, 16, 2, 7, 16, 9, 2, 1, 9, 11, 13, 2, 2, 0, 0, 9, 0, 4, 0, 15, 5, 12, 2, 9, 1, 3, 7, 0, 2, 14, 3, 0, 10, 5, 2, 1, 3, 2, 1, 3, 0, 5, 3, 9]\n",
      "[14, 39, 16, 3, 1, 3, 2, 18, 6, 9, 7, 15, 4, 9, 18, 5, 1, 0, 16, 19, 18, 1, 1, 0, 0, 7, 0, 5, 0, 20, 8, 15, 4, 6, 2, 4, 6, 0, 2, 9, 5, 0, 1, 1, 2, 2, 1, 4, 3, 1, 1, 4, 4, 6]\n",
      "[2, 0, 3, 3, 0, 2, 1, 3, 2, 3, 5, 14, 3, 5, 12, 15, 12, 0, 17, 35, 7, 0, 1, 2, 5, 10, 0, 4, 0, 6, 10, 14, 0, 6, 1, 1, 2, 0, 3, 7, 7, 0, 5, 2, 1, 2, 0, 1, 11, 2, 4, 5, 6, 6]\n",
      "[8, 14, 10, 3, 0, 0, 0, 5, 3, 9, 0, 11, 4, 7, 11, 8, 11, 1, 18, 28, 15, 0, 1, 0, 0, 10, 0, 1, 1, 17, 10, 13, 2, 12, 1, 3, 4, 0, 1, 12, 16, 0, 13, 15, 8, 2, 7, 0, 5, 3, 3, 1, 7, 12]\n",
      "[15, 36, 23, 8, 0, 3, 3, 6, 6, 3, 1, 12, 6, 12, 9, 13, 9, 3, 20, 19, 21, 2, 5, 1, 0, 11, 0, 6, 0, 26, 6, 20, 1, 7, 1, 6, 17, 1, 4, 8, 10, 1, 6, 4, 6, 1, 2, 0, 8, 0, 3, 3, 2, 8]\n",
      "[14, 22, 15, 8, 0, 2, 1, 14, 6, 8, 1, 24, 8, 10, 14, 5, 3, 0, 7, 10, 16, 2, 3, 0, 0, 9, 0, 5, 0, 16, 6, 18, 0, 6, 0, 7, 8, 0, 2, 17, 12, 0, 8, 14, 5, 2, 4, 2, 4, 0, 3, 2, 4, 12]\n",
      "[19, 35, 6, 4, 0, 8, 2, 6, 3, 11, 6, 12, 2, 10, 20, 6, 0, 1, 14, 16, 26, 2, 4, 0, 0, 12, 0, 5, 0, 22, 8, 24, 5, 4, 4, 10, 6, 0, 3, 15, 7, 0, 5, 5, 1, 5, 3, 2, 6, 2, 4, 1, 7, 13]\n",
      "[8, 18, 19, 9, 1, 1, 1, 5, 2, 4, 0, 24, 5, 15, 16, 4, 3, 0, 24, 26, 10, 4, 1, 0, 0, 8, 0, 8, 0, 9, 10, 17, 0, 14, 2, 8, 10, 0, 3, 10, 10, 0, 8, 13, 3, 9, 5, 2, 6, 2, 2, 4, 6, 8]\n",
      "[20, 34, 12, 4, 0, 2, 1, 7, 5, 1, 3, 10, 1, 10, 10, 6, 4, 0, 11, 13, 22, 3, 2, 0, 0, 9, 0, 5, 0, 17, 6, 17, 0, 11, 1, 3, 5, 0, 0, 12, 19, 1, 6, 7, 2, 3, 4, 2, 3, 1, 1, 2, 2, 8]\n",
      "[2, 1, 8, 1, 3, 0, 0, 3, 4, 5, 1, 5, 2, 6, 4, 12, 11, 0, 15, 24, 6, 0, 1, 1, 4, 14, 0, 2, 0, 6, 6, 18, 2, 8, 1, 3, 4, 0, 2, 7, 8, 0, 6, 5, 2, 0, 4, 4, 4, 3, 3, 5, 1, 4]\n",
      "[2, 5, 6, 8, 1, 1, 1, 4, 1, 4, 1, 12, 4, 7, 8, 14, 13, 0, 19, 25, 11, 2, 1, 0, 4, 12, 0, 1, 0, 7, 10, 19, 0, 6, 0, 6, 2, 0, 3, 15, 12, 0, 11, 7, 11, 5, 4, 2, 7, 1, 2, 3, 5, 14]\n",
      "[12, 29, 18, 5, 2, 3, 1, 17, 8, 5, 2, 26, 8, 8, 11, 9, 3, 0, 14, 15, 13, 0, 2, 0, 0, 17, 0, 10, 0, 12, 6, 24, 0, 4, 4, 3, 8, 0, 3, 8, 9, 2, 12, 11, 7, 2, 5, 2, 12, 3, 4, 5, 6, 7]\n",
      "[5, 10, 5, 6, 2, 3, 0, 1, 5, 11, 3, 8, 1, 15, 14, 12, 8, 0, 19, 24, 9, 1, 1, 0, 1, 10, 1, 2, 0, 16, 10, 11, 0, 6, 2, 3, 8, 1, 1, 21, 18, 0, 13, 11, 9, 3, 3, 0, 4, 0, 2, 4, 7, 11]\n",
      "[21, 33, 13, 4, 0, 4, 6, 4, 7, 2, 6, 10, 3, 6, 14, 9, 5, 2, 7, 15, 19, 3, 3, 0, 0, 14, 0, 6, 0, 17, 10, 16, 2, 9, 1, 5, 4, 0, 3, 9, 4, 0, 6, 2, 0, 2, 2, 2, 3, 1, 2, 9, 4, 10]\n",
      "[12, 33, 8, 3, 0, 4, 1, 9, 5, 3, 1, 20, 2, 7, 11, 8, 4, 0, 10, 6, 17, 1, 3, 0, 0, 19, 0, 8, 0, 20, 4, 18, 0, 11, 4, 3, 8, 0, 0, 11, 14, 0, 14, 7, 5, 5, 4, 2, 5, 2, 2, 1, 4, 15]\n",
      "[6, 29, 15, 1, 0, 2, 1, 21, 9, 9, 3, 22, 2, 11, 18, 6, 2, 0, 16, 8, 20, 2, 2, 0, 0, 12, 0, 8, 0, 11, 4, 21, 1, 3, 2, 8, 10, 0, 1, 12, 14, 1, 6, 3, 3, 1, 6, 5, 20, 3, 11, 3, 10, 5]\n",
      "[15, 37, 9, 4, 0, 7, 2, 9, 10, 3, 1, 19, 3, 8, 13, 11, 9, 0, 15, 11, 24, 1, 1, 0, 0, 5, 0, 3, 0, 20, 7, 10, 0, 9, 0, 6, 6, 0, 3, 15, 11, 0, 9, 13, 8, 1, 3, 3, 6, 2, 6, 5, 3, 6]\n",
      "[2, 4, 7, 3, 0, 1, 0, 1, 5, 6, 3, 8, 1, 23, 6, 10, 7, 1, 17, 29, 6, 0, 0, 0, 2, 7, 0, 4, 0, 12, 6, 16, 0, 8, 3, 7, 6, 0, 1, 18, 22, 2, 13, 18, 11, 3, 2, 2, 7, 3, 3, 5, 14, 12]\n",
      "[5, 4, 8, 5, 1, 2, 0, 6, 1, 3, 1, 7, 2, 4, 9, 9, 15, 0, 22, 20, 11, 1, 0, 0, 2, 9, 0, 8, 0, 8, 9, 15, 0, 6, 0, 3, 5, 0, 2, 9, 7, 0, 7, 7, 3, 1, 7, 11, 15, 9, 5, 3, 8, 9]\n",
      "[2, 1, 3, 6, 0, 0, 0, 0, 3, 3, 0, 9, 2, 3, 12, 15, 13, 0, 19, 25, 6, 1, 1, 0, 5, 7, 0, 4, 0, 6, 9, 14, 0, 5, 0, 2, 1, 0, 0, 13, 10, 2, 9, 8, 5, 1, 4, 3, 5, 1, 2, 2, 9, 10]\n",
      "[11, 31, 17, 3, 0, 4, 1, 5, 9, 9, 4, 17, 5, 16, 15, 4, 1, 0, 17, 12, 15, 0, 3, 0, 0, 12, 0, 0, 0, 15, 4, 17, 0, 10, 2, 1, 4, 1, 2, 11, 10, 0, 7, 8, 1, 2, 5, 1, 10, 1, 4, 1, 4, 12]\n",
      "[3, 1, 4, 5, 0, 0, 0, 6, 2, 1, 0, 11, 3, 7, 6, 12, 10, 0, 5, 19, 6, 0, 2, 0, 2, 8, 0, 3, 0, 7, 10, 19, 0, 2, 0, 4, 2, 0, 6, 10, 3, 0, 1, 5, 3, 1, 5, 10, 16, 9, 5, 2, 8, 8]\n",
      "[4, 11, 6, 8, 0, 1, 3, 4, 5, 4, 1, 12, 5, 5, 7, 13, 14, 0, 8, 26, 7, 0, 0, 0, 5, 14, 0, 5, 0, 7, 10, 15, 0, 5, 2, 4, 1, 0, 0, 17, 12, 0, 17, 10, 8, 1, 3, 13, 14, 7, 2, 10, 18, 13]\n",
      "[2, 13, 6, 5, 1, 1, 1, 4, 7, 6, 3, 8, 4, 13, 8, 9, 5, 0, 17, 34, 9, 0, 1, 0, 2, 10, 0, 5, 0, 26, 5, 13, 0, 7, 0, 5, 5, 0, 1, 18, 21, 3, 15, 12, 6, 4, 6, 3, 3, 2, 0, 1, 3, 7]\n",
      "[17, 20, 9, 8, 0, 2, 0, 4, 5, 7, 3, 22, 6, 5, 11, 13, 5, 0, 24, 21, 13, 0, 1, 0, 0, 9, 0, 4, 0, 13, 3, 12, 0, 3, 4, 0, 10, 0, 4, 15, 19, 0, 18, 5, 9, 2, 7, 1, 2, 1, 2, 3, 4, 9]\n",
      "[6, 6, 7, 2, 0, 1, 0, 8, 2, 0, 1, 13, 3, 4, 10, 11, 10, 1, 14, 37, 11, 0, 0, 0, 0, 8, 0, 3, 0, 15, 6, 10, 0, 2, 0, 1, 3, 0, 0, 4, 6, 0, 3, 5, 4, 0, 7, 2, 9, 2, 6, 1, 4, 3]\n",
      "[6, 13, 9, 5, 0, 0, 0, 11, 0, 6, 1, 16, 3, 7, 12, 18, 8, 0, 16, 18, 12, 0, 1, 0, 1, 12, 0, 4, 0, 11, 4, 18, 0, 4, 4, 3, 3, 1, 2, 8, 9, 0, 13, 5, 6, 0, 4, 6, 11, 3, 1, 4, 5, 8]\n",
      "[15, 33, 6, 5, 0, 5, 2, 5, 6, 6, 3, 12, 3, 12, 13, 1, 0, 0, 8, 25, 22, 1, 1, 0, 0, 11, 0, 3, 0, 13, 6, 12, 1, 7, 1, 4, 5, 0, 0, 7, 6, 0, 6, 4, 10, 1, 4, 4, 2, 4, 2, 2, 4, 7]\n",
      "[15, 32, 6, 6, 1, 8, 5, 7, 5, 5, 17, 14, 6, 13, 7, 8, 7, 2, 8, 22, 12, 1, 5, 0, 0, 9, 0, 5, 0, 8, 10, 17, 7, 6, 2, 6, 11, 0, 3, 10, 14, 0, 10, 7, 2, 1, 8, 1, 7, 2, 2, 2, 3, 10]\n",
      "[5, 3, 4, 6, 0, 6, 1, 6, 9, 2, 0, 10, 2, 10, 19, 18, 15, 0, 13, 14, 6, 0, 2, 2, 3, 9, 0, 3, 0, 12, 8, 24, 1, 16, 4, 6, 6, 0, 2, 12, 13, 0, 10, 10, 5, 3, 1, 13, 19, 10, 10, 3, 13, 11]\n",
      "[7, 35, 13, 7, 0, 5, 0, 8, 7, 9, 0, 23, 10, 10, 10, 15, 13, 2, 22, 14, 24, 1, 1, 0, 0, 13, 1, 11, 0, 18, 8, 13, 0, 7, 2, 7, 13, 0, 0, 10, 14, 0, 11, 6, 7, 6, 2, 3, 9, 2, 4, 1, 2, 9]\n",
      "[17, 31, 17, 6, 1, 5, 3, 6, 13, 3, 9, 18, 3, 9, 13, 11, 7, 0, 12, 12, 19, 1, 1, 0, 0, 23, 1, 7, 0, 15, 9, 22, 2, 8, 1, 7, 12, 1, 0, 16, 6, 0, 18, 6, 3, 2, 4, 2, 9, 2, 4, 3, 1, 9]\n",
      "[3, 3, 5, 5, 0, 1, 0, 4, 5, 6, 1, 5, 2, 11, 4, 13, 9, 0, 16, 27, 7, 0, 1, 1, 1, 13, 0, 1, 0, 12, 12, 11, 0, 3, 3, 3, 3, 0, 4, 17, 14, 1, 14, 10, 6, 4, 0, 6, 7, 4, 1, 6, 3, 14]\n",
      "[10, 9, 13, 9, 2, 2, 0, 2, 1, 1, 1, 5, 3, 4, 4, 22, 11, 1, 11, 28, 16, 0, 1, 0, 3, 10, 0, 3, 0, 15, 13, 19, 0, 5, 0, 4, 5, 0, 0, 8, 6, 1, 3, 3, 4, 2, 0, 16, 18, 10, 5, 11, 10, 12]\n",
      "[24, 32, 8, 2, 0, 5, 3, 10, 13, 7, 6, 14, 1, 16, 20, 5, 0, 0, 10, 11, 11, 5, 5, 0, 0, 18, 0, 8, 0, 9, 9, 17, 0, 2, 3, 3, 6, 0, 3, 13, 11, 0, 6, 10, 6, 0, 5, 6, 8, 2, 3, 3, 4, 4]\n",
      "[9, 35, 10, 4, 0, 12, 7, 8, 7, 6, 5, 14, 6, 19, 15, 11, 7, 1, 17, 19, 21, 2, 1, 0, 0, 17, 0, 11, 0, 28, 4, 18, 15, 11, 1, 4, 12, 0, 2, 8, 10, 0, 5, 5, 2, 4, 4, 0, 6, 1, 5, 4, 5, 5]\n",
      "[6, 2, 12, 1, 3, 0, 1, 7, 1, 3, 4, 11, 2, 5, 12, 9, 12, 0, 16, 19, 9, 0, 0, 0, 2, 4, 0, 3, 0, 10, 12, 10, 1, 7, 0, 1, 1, 0, 1, 4, 5, 2, 1, 5, 4, 0, 3, 8, 22, 9, 10, 2, 5, 9]\n",
      "[14, 28, 16, 3, 1, 3, 5, 9, 2, 3, 2, 22, 3, 8, 17, 8, 10, 0, 7, 5, 19, 4, 1, 0, 0, 17, 0, 8, 0, 14, 6, 16, 0, 13, 2, 4, 7, 0, 0, 10, 12, 0, 5, 6, 2, 0, 1, 1, 8, 1, 1, 2, 2, 7]\n",
      "[8, 8, 5, 7, 0, 3, 1, 6, 2, 1, 1, 27, 9, 6, 5, 13, 11, 1, 18, 23, 10, 1, 0, 0, 0, 9, 0, 2, 0, 11, 8, 16, 0, 9, 1, 2, 4, 1, 4, 4, 12, 0, 3, 5, 1, 3, 2, 9, 12, 11, 5, 3, 5, 5]\n",
      "[3, 8, 16, 2, 0, 1, 0, 7, 3, 1, 1, 17, 6, 4, 10, 15, 8, 0, 13, 22, 6, 0, 1, 0, 0, 7, 0, 6, 0, 9, 8, 6, 0, 5, 3, 2, 7, 0, 1, 7, 8, 0, 8, 3, 1, 1, 2, 1, 6, 2, 5, 3, 1, 4]\n",
      "[14, 25, 14, 4, 1, 1, 1, 8, 7, 5, 1, 15, 3, 15, 14, 4, 2, 0, 13, 17, 18, 1, 1, 0, 0, 10, 0, 3, 0, 18, 4, 22, 0, 11, 0, 3, 4, 0, 1, 13, 11, 2, 6, 5, 3, 1, 4, 2, 10, 0, 9, 3, 5, 3]\n",
      "[8, 10, 17, 9, 0, 2, 4, 4, 10, 9, 5, 8, 1, 19, 13, 5, 2, 0, 21, 19, 11, 0, 1, 0, 3, 11, 2, 1, 0, 10, 13, 11, 0, 5, 1, 1, 9, 0, 4, 15, 25, 0, 16, 11, 8, 5, 3, 1, 6, 1, 5, 4, 9, 9]\n",
      "[5, 2, 1, 4, 0, 1, 1, 6, 3, 4, 1, 10, 4, 1, 9, 16, 17, 0, 10, 25, 11, 1, 0, 1, 4, 9, 0, 1, 0, 8, 6, 16, 0, 4, 2, 2, 2, 0, 2, 13, 17, 0, 5, 8, 2, 1, 6, 7, 9, 4, 2, 6, 5, 6]\n",
      "[6, 20, 15, 10, 1, 0, 1, 8, 6, 1, 2, 16, 2, 13, 11, 15, 9, 0, 27, 22, 13, 0, 1, 0, 0, 10, 0, 5, 0, 18, 11, 8, 0, 7, 0, 3, 4, 0, 1, 17, 12, 0, 10, 7, 5, 2, 0, 3, 2, 2, 1, 3, 8, 5]\n",
      "[17, 28, 15, 2, 0, 2, 1, 10, 6, 7, 7, 18, 5, 6, 8, 3, 3, 0, 15, 23, 11, 1, 3, 0, 0, 4, 0, 3, 1, 25, 7, 17, 0, 7, 0, 5, 9, 0, 1, 10, 4, 0, 0, 5, 0, 0, 3, 3, 11, 2, 3, 2, 5, 7]\n",
      "[7, 3, 3, 8, 1, 0, 0, 5, 5, 0, 0, 9, 3, 5, 16, 9, 11, 0, 10, 20, 6, 0, 1, 1, 0, 6, 0, 3, 0, 11, 11, 21, 0, 6, 3, 2, 0, 0, 3, 7, 10, 0, 4, 5, 2, 0, 3, 13, 16, 4, 6, 3, 9, 11]\n",
      "[14, 32, 5, 12, 1, 9, 7, 9, 8, 8, 13, 15, 8, 8, 18, 8, 4, 0, 7, 33, 20, 3, 5, 0, 0, 17, 0, 6, 0, 18, 6, 13, 1, 10, 2, 2, 6, 0, 0, 9, 9, 0, 3, 6, 2, 2, 2, 3, 9, 2, 5, 1, 3, 8]\n",
      "[5, 9, 3, 3, 0, 0, 0, 7, 3, 2, 0, 8, 5, 6, 12, 14, 15, 0, 11, 11, 13, 2, 0, 0, 3, 10, 0, 1, 0, 11, 3, 14, 0, 5, 0, 4, 8, 0, 3, 10, 10, 1, 11, 5, 0, 2, 3, 4, 6, 2, 3, 1, 3, 6]\n",
      "[4, 1, 7, 1, 0, 2, 0, 1, 4, 4, 2, 9, 0, 9, 10, 15, 13, 1, 7, 11, 12, 0, 0, 2, 4, 10, 0, 2, 0, 15, 3, 25, 2, 18, 4, 2, 4, 0, 2, 5, 4, 0, 3, 8, 2, 2, 5, 11, 20, 7, 8, 1, 10, 6]\n"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "\n",
    "data_list = []\n",
    "\n",
    "# Get data\n",
    "with open('Data.csv', 'r') as csvfile:\n",
    "    reader = csv.reader(csvfile, delimiter=';')\n",
    "    \n",
    "    for row in reader:\n",
    "        int_row = list(map(int, row))\n",
    "        data_list.append(int_row)\n",
    "\n",
    "    \n",
    "\n",
    "for int_row in data_list:\n",
    "    print(int_row)\n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2]\n",
      "[2]\n",
      "[1]\n",
      "[1]\n",
      "[3]\n",
      "[3]\n",
      "[4]\n",
      "[3]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[2]\n",
      "[4]\n",
      "[2]\n",
      "[1]\n",
      "[3]\n",
      "[3]\n",
      "[4]\n",
      "[1]\n",
      "[3]\n",
      "[2]\n",
      "[1]\n",
      "[4]\n",
      "[2]\n",
      "[3]\n",
      "[1]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[2]\n",
      "[2]\n",
      "[4]\n",
      "[4]\n",
      "[1]\n",
      "[3]\n",
      "[4]\n",
      "[3]\n",
      "[1]\n",
      "[3]\n",
      "[3]\n",
      "[1]\n",
      "[1]\n",
      "[3]\n",
      "[4]\n",
      "[2]\n",
      "[2]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[1]\n",
      "[2]\n",
      "[2]\n",
      "[4]\n",
      "[3]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[1]\n",
      "[1]\n",
      "[4]\n",
      "[3]\n",
      "[4]\n",
      "[4]\n",
      "[1]\n",
      "[4]\n",
      "[4]\n",
      "[3]\n",
      "[1]\n",
      "[4]\n",
      "[2]\n",
      "[4]\n",
      "[2]\n",
      "[4]\n",
      "[4]\n",
      "[3]\n",
      "[1]\n",
      "[4]\n",
      "[4]\n",
      "[3]\n",
      "[1]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[3]\n",
      "[4]\n",
      "[1]\n",
      "[4]\n",
      "[2]\n",
      "[2]\n",
      "[4]\n",
      "[2]\n",
      "[3]\n",
      "[4]\n",
      "[1]\n",
      "[1]\n",
      "[4]\n",
      "[1]\n",
      "[4]\n",
      "[4]\n",
      "[2]\n",
      "[4]\n",
      "[3]\n",
      "[4]\n",
      "[4]\n",
      "[2]\n",
      "[2]\n",
      "[4]\n",
      "[3]\n",
      "[4]\n",
      "[1]\n",
      "[1]\n",
      "[3]\n",
      "[4]\n",
      "[4]\n",
      "[3]\n",
      "[1]\n",
      "[2]\n",
      "[4]\n",
      "[3]\n",
      "[1]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[2]\n",
      "[3]\n",
      "[2]\n",
      "[3]\n",
      "[2]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[1]\n",
      "[4]\n",
      "[4]\n",
      "[1]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[3]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[1]\n",
      "[1]\n",
      "[4]\n",
      "[4]\n",
      "[3]\n",
      "[2]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[2]\n",
      "[4]\n",
      "[3]\n",
      "[3]\n",
      "[4]\n",
      "[2]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[4]\n",
      "[2]\n",
      "[1]\n",
      "[3]\n",
      "[4]\n",
      "[1]\n",
      "[1]\n",
      "[2]\n",
      "[2]\n",
      "[3]\n",
      "[3]\n",
      "[4]\n",
      "[4]\n",
      "[1]\n",
      "[4]\n",
      "[4]\n",
      "[2]\n",
      "[1]\n",
      "[4]\n",
      "[4]\n",
      "[1]\n",
      "[4]\n",
      "[1]\n",
      "[3]\n",
      "[4]\n",
      "[2]\n",
      "[3]\n",
      "[2]\n",
      "[4]\n",
      "[1]\n",
      "[4]\n",
      "[3]\n",
      "[1]\n"
     ]
    }
   ],
   "source": [
    "# Get data\n",
    "label_list = []\n",
    "\n",
    "# Get data\n",
    "with open('Labels.csv', 'r') as csvfile:\n",
    "    reader = csv.reader(csvfile, delimiter=';')\n",
    "    \n",
    "    for row in reader:\n",
    "        int_row = list(map(int, row))\n",
    "        label_list.append(int_row)\n",
    "\n",
    "    \n",
    "\n",
    "for int_row in label_list:\n",
    "    print(int_row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "import numpy\n",
    "# fix random seed for reproducibility\n",
    "numpy.random.seed(7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "213/213 [==============================] - 7s - loss: -23.9721 - acc: 0.1784       \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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 2/10\n",
      "213/213 [==============================] - 0s - loss: -31.3354 - acc: 0.1784     \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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 3/10\n",
      "213/213 [==============================] - 0s - loss: -31.6537 - acc: 0.1784     \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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: 0s - loss: -31.6999 - acc: 0.1722\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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 4/10\n",
      "213/213 [==============================] - 0s - loss: -31.6602 - acc: 0.1784     \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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 5/10\n",
      "213/213 [==============================] - ETA: 0s - loss: -31.5811 - acc: 0.1810\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b - 0s - loss: -31.6602 - acc: 0.1784     \n",
      "Epoch 6/10\n",
      "213/213 [==============================] - 0s - loss: -31.6602 - acc: 0.1784     \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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 7/10\n",
      "213/213 [==============================] - 0s - loss: -31.6602 - acc: 0.1784     \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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 8/10\n",
      "213/213 [==============================] - 0s - loss: -31.6602 - acc: 0.1784         \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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 9/10\n",
      "213/213 [==============================] - 0s - loss: -31.6602 - acc: 0.1784     \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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 10/10\n",
      "213/213 [==============================] - 0s - loss: -31.6602 - acc: 0.1784     \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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",
      "160/213 [=====================>........] - ETA: 0s\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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",
      "acc: 17.84%\n"
     ]
    }
   ],
   "source": [
    "# split into input (X) and output (Y) variables\n",
    "X = data_list\n",
    "Y = label_list\n",
    "# create model\n",
    "model = Sequential()\n",
    "model.add(Dense(12, input_dim=54, activation='relu'))\n",
    "model.add(Dense(8, activation='relu'))\n",
    "model.add(Dense(1, activation='sigmoid'))\n",
    "# Compile model\n",
    "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "# Fit the model\n",
    "history = model.fit(X, Y, epochs=10, batch_size=10)\n",
    "# evaluate the model\n",
    "scores = model.evaluate(X, Y)\n",
    "print(\"\\n%s: %.2f%%\" % (model.metrics_names[1], scores[1]*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "213/213 [==============================] - 0s     \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\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",
      "\n",
      "acc: 17.84%\n",
      "dict_keys(['val_loss', 'val_acc', 'loss', 'acc'])\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZIAAAEWCAYAAABMoxE0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b599518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEWCAYAAAB42tAoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3X+cXXV95/HX+/6cX/lBfvAjBJpQUUkQgwQKdXG1oASk\noFIRFVdrV+TxcLd111JJ8cdql10eS6uuVcRoaW2lUARRqtiGWED7qIiBphh+NQFhk4BkCASSTObn\n/ewf90y8hJk7907mzrmZ834+HvPw3nPOvfczkZn3fL7fc75HEYGZmdl4cmkXYGZm7c1BYWZmdTko\nzMysLgeFmZnV5aAwM7O6HBRmZlaXg8LsAEj6K0n/s8Fjn5B05oG+j9l0c1CYmVldDgozM6vLQWEz\nXjLkc5mkByTtkfQXkg6T9ANJuyStk3RIzfHnSXpQ0k5Jd0k6rmbfiZLuT173d0DHfp91rqQNyWv/\nRdIJk6z5Q5I2S3pO0m2SFiXbJenzkrZLelHSzyUdn+w7R9JDSW3bJP3hpP7BzPbjoLCsuAB4M/BK\n4LeBHwB/DCyk+nPw+wCSXgncAHw02Xc78PeSSpJKwHeAvwHmAd9K3pfktScC1wEfBuYDXwVuk1Ru\nplBJvwX8b+BC4AjgSeDGZPdbgDck38ec5Jgdyb6/AD4cEbOA44F/auZzzcbjoLCs+POIeCYitgE/\nBn4aEf8aEf3ArcCJyXHvAr4fEXdExBDwp0An8JvAqUAR+EJEDEXEzcDPaj7jEuCrEfHTiBiJiG8A\nA8nrmvFe4LqIuD8iBoDVwGmSlgBDwCzg1YAi4uGIeDp53RCwTNLsiHg+Iu5v8nPNxuSgsKx4pubx\n3jGe9ySPF1H9Cx6AiKgAW4Ajk33b4qUraT5Z8/jXgI8lw047Je0Ejkpe14z9a9hNtWs4MiL+CfgS\n8GVgu6Q1kmYnh14AnAM8KeluSac1+blmY3JQmL3UU1R/4QPVOQGqv+y3AU8DRybbRh1d83gLcGVE\nzK356oqIGw6whm6qQ1nbACLiixFxErCM6hDUZcn2n0XE+cChVIfIbmryc83G5KAwe6mbgLdKOkNS\nEfgY1eGjfwF+AgwDvy+pKOkdwCk1r/0acKmk30gmnbslvVXSrCZruAH4XUkrkvmN/0V1qOwJSScn\n718E9gD9QCWZQ3mvpDnJkNmLQOUA/h3M9nFQmNWIiEeBi4E/B56lOvH92xExGBGDwDuADwDPUZ3P\n+HbNa9cDH6I6NPQ8sDk5ttka1gGfBG6h2sX8OnBRsns21UB6nurw1A7g6mTf+4AnJL0IXEp1rsPs\ngMk3LjIzs3rcUZiZWV0OCjMzq8tBYWZmdTkozMysrkLaBUyFBQsWxJIlS9Iuw8zsoHLfffc9GxEL\nJzpuRgTFkiVLWL9+fdplmJkdVCQ9OfFRHnoyM7MJOCjMzKwuB4WZmdU1I+YoxjI0NMTWrVvp7+9P\nu5SW6+joYPHixRSLxbRLMbMZaMYGxdatW5k1axZLlizhpYt9ziwRwY4dO9i6dStLly5Nuxwzm4Fm\n7NBTf38/8+fPn9EhASCJ+fPnZ6JzMrN0zNigAGZ8SIzKyvdpZumY0UExkUol6H3uefoGh/EqumZm\nY8t0UAz0vcDC/ifo632Szdt3sXdoZErff+fOnVxzzTVNv+6cc85h586dU1qLmdlktW1QSFol6VFJ\nmyVd3orP6OyeQ6VrIQv0IotGnmLLs7sYHpm6m4KNFxTDw8N1X3f77bczd+7cKavDzOxAtGVQSMpT\nvXn82VTvC/xuScta8EHk5i6GuUfTzV7mVHby5HN9VKZoGOryyy/nscceY8WKFZx88smcfvrpnHfe\neSxbVv1W3va2t3HSSSexfPly1qxZs+91S5Ys4dlnn+WJJ57guOOO40Mf+hDLly/nLW95C3v37p2S\n2szMGtWup8eeAmyOiMcBJN0InA88NJk3+8zfP8hDT71Y/6ChvRA72BNbKBdyFPL1M3TZotl8+reX\n1z3mqquuYuPGjWzYsIG77rqLt771rWzcuHHfaazXXXcd8+bNY+/evZx88slccMEFzJ8//yXvsWnT\nJm644Qa+9rWvceGFF3LLLbdw8cUXT/xNm5lNkbbsKIAjgS01z7cm2/aRdImk9ZLW9/b2Hvgn5otA\nUFSF4UprJrZPOeWUl1zr8MUvfpHXvva1nHrqqWzZsoVNmza97DVLly5lxYoVAJx00kk88cQTLanN\nzGw87dpRTCgi1gBrAFauXFn3N/tEf/knbwjPPEg/RTaNHM6yI2aTz03taafd3d37Ht91112sW7eO\nn/zkJ3R1dfHGN75xzGshyuXyvsf5fN5DT2Y27dq1o9gGHFXzfHGyrXUk6F5AR6WPUgyyZ6D+hHMj\nZs2axa5du8bc98ILL3DIIYfQ1dXFI488wj333HPAn2dm1grt2lH8DDhW0lKqAXER8J6Wf2rXPNj1\nNLO1lxf7u5ndeWBrJ82fP5/Xv/71HH/88XR2dnLYYYft27dq1SquvfZajjvuOF71qldx6qmnHmj1\nZmYtoXa90EzSOcAXgDxwXURcOd6xK1eujP1vXPTwww9z3HHHNf/Bv/w5u+hmayzg1YfPOmiuep70\n92tmmSXpvohYOdFx7dpREBG3A7dP+wcXOugYGWJouMLeoRG6Sm37T2RmNi3adY4iPYUOCpUBAPYM\nTO2V2mZmByMHxf4KHShGKOcqDA47KMzMHBT7K3YA0JMbZmB46pbzMDM7WDko9leoBkVnbojBKVz3\nyczsYOWg2F+uAMrTwSBDw5UpW/fJzOxg5aDYnwTFDooxSABDBzD8NNllxgG+8IUv0NfXN+nPNjOb\nKg6KsdSc+TRwAMNPDgozmwl8kcBYkjOfCowweAAdRe0y429+85s59NBDuemmmxgYGODtb387n/nM\nZ9izZw8XXnghW7duZWRkhE9+8pM888wzPPXUU7zpTW9iwYIF3HnnnVP4zZmZNScbQfGDy+GXP2/8\n+MowDO9lKWVyuTwU8i8/5vDXwNlX1X2b2mXG165dy80338y9995LRHDeeefxox/9iN7eXhYtWsT3\nv/99oLoG1Jw5c/jc5z7HnXfeyYIFC5r5Ts3MppyHnsaSq/6z5Ammai577dq1rF27lhNPPJHXve51\nPPLII2zatInXvOY13HHHHXz84x/nxz/+MXPmzJmaDzQzmyLZ6Cgm+Mv/ZSLg6Q305efzTBzCqw6f\ndcAlRASrV6/mwx/+8Mv23X///dx+++184hOf4IwzzuBTn/rUAX+emdlUcUcxFglyBYoaYXCkwmQX\nTqxdZvyss87iuuuuY/fu3QBs27aN7du389RTT9HV1cXFF1/MZZddxv333/+y15qZpSkbHcVk5AoU\nGCEiGBoJSoXmV5GtXWb87LPP5j3veQ+nnXYaAD09PXzzm99k8+bNXHbZZeRyOYrFIl/5ylcAuOSS\nS1i1ahWLFi3yZLaZpaptlxlvxpQuMz7q2U2MVCo8OHgYxyzopqfjwO5N0WpeZtzMmtXoMuMeehpP\nroCiuiig13wysyxzUIwnX0SV6u1QhyoHf9dlZjZZMzooDmhYLekoijkYafPFAWfC8KGZta8ZGxQd\nHR3s2LFj8r9Ec9V5/lKuwnAbdxQRwY4dO+jo6Ei7FDOboWbsWU+LFy9m69at9Pb2Tu4NhvbCnl6e\nzw0zrCJ928tTW+AU6ujoYPHixWmXYWYz1IwNimKxyNKlSyf/BlvuhW9fyBePuIq/37OMO/77f5y6\n4szMDiJtN/Qk6X9I2iZpQ/J1TiqFdFfXWDqisIvn9gymUoKZWTto147i8xHxp6lW0L0QgENzu3i+\nb5BKJcjlmr/ozszsYNd2HUXbKPVAoYN57KQSsHPvUNoVmZmlol2D4r9KekDSdZIOGesASZdIWi9p\n/aQnrOuRoHshcyovAPDcnoGp/wwzs4NAKkEhaZ2kjWN8nQ98BTgGWAE8DfzZWO8REWsiYmVErFy4\ncGFrCu1eQM/w8wDs2O15CjPLplTmKCLizEaOk/Q14HstLmd83YfS+fxTAJ7QNrPMaruhJ0lH1Dx9\nO7AxrVroXkipfwcAOxwUZpZR7XjW0/+RtAII4Ang5Xf6mS7dC8jtfRYIdxRmllltFxQR8b60a9in\neyEaGWRRx6CDwswyq+2GntpKci3FMZ19Hnoys8xyUNSTXJ19dLnPp8eaWWY5KOrpORSAxaU9Pj3W\nzDLLQVFPMvR0uNd7MrMMc1DU0zkPgAW53TzfN+gbBJlZJjko6imUIF9iTn6AoZHgxf7htCsyM5t2\nDoqJlGcxS3sBX51tZtnkoJhIqYcu+gEvDGhm2eSgmEh5Np2VPsALA5pZNjkoJlLuoZwEhYeezCyL\nHBQTKfVQGkk6CgeFmWWQg2Ii5VnkBndRyufY5bOezCyDHBQTKffAwG66y3n6Bh0UZpY9DoqJlGfD\nwC66SgX2DIykXY2Z2bRzUEyk1ANDe+gpyR2FmWWSg2Ii5R4A5hWH2TPojsLMssdBMZHyLAAWFPvp\nG3BHYWbZ46CYSKnaUcwtDLqjMLNMclBMJOko5uX7PUdhZpnkoJhIEhSz8wM+68nMMimVoJD0TkkP\nSqpIWrnfvtWSNkt6VNJZadT3EsnQ05ycOwozy6a0OoqNwDuAH9VulLQMuAhYDqwCrpGUn/7yaiQd\nxSz10zc4QqXimxeZWbakEhQR8XBEPDrGrvOBGyNiICJ+AWwGTpne6vaTBEVPck+KviEPP5lZtrTb\nHMWRwJaa51uTbS8j6RJJ6yWt7+3tbV1FydBTVyRB4VNkzSxjCq16Y0nrgMPH2HVFRHz3QN8/ItYA\nawBWrlzZuvGgQhlyRbqoBoVPkTWzrGlZUETEmZN42TbgqJrni5Nt6ZGg3ENnJQkKdxRmljHtNvR0\nG3CRpLKkpcCxwL0p1wTlWXRU9gDQ547CzDImrdNj3y5pK3Aa8H1J/wgQEQ8CNwEPAf8AfCQi0v/N\nXJq17+ZFe3yKrJllTMuGnuqJiFuBW8fZdyVw5fRWNIFyD6WRpKPwRXdmljHtNvTUnsqzKAxXg8Id\nhZlljYOiEaUe8kOjHYWDwsyyxUHRiHIPuaHdgE+PNbPscVA0ojwbBnZTyPkud2aWPQ6KRpR60OAu\nukvyCrJmljkOikaM3uWuNOIL7swscxwUjUjumz2/OOAL7swscxwUjShVO4r5xUGfHmtmmeOgaEQy\n9HRIYcAX3JlZ5jgoGpEMPc3LD7ijMLPMcVA0YvR2qHnPUZhZ9jgoGpEMPc3O9fusJzPLHAdFI2qC\nwh2FmWWNg6IRo/fNpp89g8NEtO6GemZm7cZB0YhCByhHl/qJgP6hStoVmZlNGwdFIyQodNChIcBL\njZtZtjgoGlUo00ESFJ7QNrMMcVA0qtBJaV9QeELbzLLDQdGoQpkSgwBeatzMMsVB0ahCB6WoBoVv\nXmRmWZJKUEh6p6QHJVUkrazZvkTSXkkbkq9r06hvTIUyxSQofDtUM8uSQkqfuxF4B/DVMfY9FhEr\nprmeiRU6KFTcUZhZ9qQSFBHxMICkND5+cgpl8gN9gOcozCxb2nGOYmky7HS3pNPHO0jSJZLWS1rf\n29vb+qoKHeRHOwqf9WRmGdKyjkLSOuDwMXZdERHfHedlTwNHR8QOSScB35G0PCJe3P/AiFgDrAFY\nuXJl69fUKHagkQEkdxRmli0NBYWkPwD+EtgFfB04Ebg8ItaO95qIOLPZYiJiABhIHt8n6THglcD6\nZt9ryhU60HA/XcW8Owozy5RGh54+mPxV/xbgEOB9wFVTXYykhZLyyeNjgGOBx6f6cyalUIbhATqK\neQaGHRRmlh2NBsXorPM5wN9ExIM125om6e2StgKnAd+X9I/JrjcAD0jaANwMXBoRz032c6ZUoQOG\n9lIu5BgY9qKAZpYdjc5R3CdpLbAUWC1pFjDp35YRcStw6xjbbwFumez7ttRoR9GRd1CYWaY0GhS/\nB6wAHo+IPknzgN9tXVltqNABw/2U8qJ/yENPZpYdjQ49nQY8GhE7JV0MfAJ4oXVltaFCGQi6i+GO\nwswypdGg+ArQJ+m1wMeAx4C/bllV7ajQAcCs/DAD7ijMLEMaDYrhqN7/83zgSxHxZWBW68pqQ0lQ\ndBdG6HdHYWYZ0ugcxS5Jq6meFnu6pBxQbF1ZbSgJih53FGaWMY12FO+ieiHcByPil8Bi4OqWVdWO\nRjuK3BCD7ijMLEMaCookHK4H5kg6F+iPiIzNUZQB6M6PeDLbzDKloaCQdCFwL/BO4ELgp5J+p5WF\ntZ2ko+jSkE+PNbNMaXSO4grg5IjYDtWlNoB1VK+ezoako+jKDbujMLNMaXSOIjcaEokdTbx2Zkg6\nis7csNd6MrNMabSj+IdkPaYbkufvAm5vTUltqpgEhYYYGglGKkE+dxDdeMnMbJIaCoqIuEzSBcDr\nk01rkvWasiPpKDo0BMDA8AhdpbTuJGtmNn0a/k3X1gv2TYdkjmJfUAxV6CqlWZCZ2fSoGxSSdgFj\n3T1OQETE7JZU1Y5GOwpGOwpPaJtZNtQNiojI1jId9SQdRYnqfbN9iqyZZUW2zlw6EElHUXZHYWYZ\n46BoVP6lHYVPkTWzrHBQNCqXg3yZYlQ7iv4hdxRmlg0OimYUOiiGOwozyxYHRTMK5V8FhTsKM8uI\nVIJC0tWSHpH0gKRbJc2t2bda0mZJj0o6K436xlXooFAZAKDfHYWZZURaHcUdwPERcQLw78BqAEnL\ngIuA5cAq4BpJ+ZRqfLlCeV9QuKMws6xIJSgiYm1EDCdP76F6IySo3mr1xogYiIhfAJuBU9KocUyF\nDvL75igcFGaWDe0wR/FB4AfJ4yOBLTX7tibbXkbSJZLWS1rf29vb4hIThTL5kaSj8NCTmWVEy1a1\nk7QOOHyMXVdExHeTY64AhqnePa8pEbEGWAOwcuXKsZYZmXrFTnIjo1dmu6Mws2xoWVBExJn19kv6\nAHAucEZEjP6i3wYcVXPY4mRbeyiUyQ0+D7ijMLPsSOusp1XAHwHnRURfza7bgIsklSUtBY6legvW\n9lDoQCMDlPI5z1GYWWakdUOFLwFl4A5JAPdExKUR8aCkm4CHqA5JfSQi2udP90IZhvZSLuS8KKCZ\nZUYqQRERr6iz70rgymksp3GFDhgeoFx0R2Fm2dEOZz0dPAplGO6nXMj7OgozywwHRTNe0lF46MnM\nssFB0YxCx76OwqfHmllWOCiaUeiAyhBdhXBHYWaZ4aBoRnI71O78iCezzSwzHBTNSG6H2pMfYcCn\nx5pZRjgompF0FLMKQ+4ozCwzHBTNSDqK7pyHnswsOxwUzUg6iq7csIeezCwzHBTNSDqKrvwQ/e4o\nzCwjHBTNKCZBIXcUZpYdDopmJB1FZ37YcxRmlhkOimYkcxSdGma4EgyPOCzMbOZzUDRjtKOQ75tt\nZtnhoGhGEhQdDAEOCjPLBgdFM5Khp7KqQeGbF5lZFjgompF0FGV3FGaWIQ6KZuwLitE5CncUZjbz\nOSiakQRFabSj8D0pzCwDHBTNyBdAeYpR7Sg8R2FmWZBKUEi6WtIjkh6QdKukucn2JZL2StqQfF2b\nRn11FTooxQDgOQozy4a0Ooo7gOMj4gTg34HVNfsei4gVydel6ZRXR7GTQsVBYWbZkUpQRMTaiBhO\nnt4DLE6jjkkpdVEc2Qt46MnMsqEd5ig+CPyg5vnSZNjpbkmnj/ciSZdIWi9pfW9vb+urHFXsojDS\nD7ijMLNsKLTqjSWtAw4fY9cVEfHd5JgrgGHg+mTf08DREbFD0knAdyQtj4gX93+TiFgDrAFYuXJl\ntOJ7GFOxi3zSUfj0WDPLgpYFRUScWW+/pA8A5wJnREQkrxkABpLH90l6DHglsL5VdTat2EV+OAkK\nnx5rZhmQ1llPq4A/As6LiL6a7Qsl5ZPHxwDHAo+nUeO4Sl3kkqDod0dhZhnQso5iAl8CysAdkgDu\nSc5wegPwWUlDQAW4NCKeS6nGsRU7kTsKM8uQVIIiIl4xzvZbgFumuZzmFLvRUB+lQs6T2WaWCe1w\n1tPBpdgJQ310FHI+PdbMMsFB0axSFwz20VUq0Dc4PPHxZmYHOQdFs4pdMLyX+V0FntszmHY1ZmYt\n56BoVrELgCO6g2d3OyjMbOZzUDQrCYrDu2DHnoGUizEza720To89eJWqQXFYxwg7dg+lXIyZWeu5\no2hWsROAhR0V+gZHPKFtZjOeg6JZxW4A5peq3cQOz1OY2QznoGhW0lHMK1WvodjhM5/MbIZzUDSr\nVO0o5hZHOwpPaJvZzOagaFbSUczJV+cmPPRkZjOdg6JZyemxs/LVTsJDT2Y20zkompUMPZVjgK5S\n3kNPZjbjOSialQw9MdjH/J6SOwozm/EcFM1Khp4Y2su87jLPuqMwsxnOQdGsXB7yZRjaw4Lukiez\nzWzGc1BMRqkLhvYmQ0/uKMxsZnNQTEaxK5mjKLNj9yARkXZFZmYt46CYjGIXDPUxv7vEcCV4ca/X\nezKzmctBMRnJ7VAX9JQBeNbDT2Y2g6USFJL+RNIDkjZIWitpUc2+1ZI2S3pU0llp1DehUjcM7mF+\nTwnAd7ozsxktrY7i6og4ISJWAN8DPgUgaRlwEbAcWAVcIymfUo3jK3Ymp8dWg8IX3ZnZTJZKUETE\nizVPu4HR2eDzgRsjYiAifgFsBk6Z7vomlMxR7Bt68imyZjaDpXaHO0lXAv8JeAF4U7L5SOCemsO2\nJtvGev0lwCUARx99dOsKHUsSFId0jXYUDgozm7la1lFIWidp4xhf5wNExBURcRRwPfBfmn3/iFgT\nESsjYuXChQunuvz6StXTY0uFHHM6izyzq396P9/MbBq1rKOIiDMbPPR64Hbg08A24KiafYuTbe2l\nWL3gDmDFUXP51votvOHYhaw6/vCUCzMzm3qpDD1JOjYiNiVPzwceSR7fBvytpM8Bi4BjgXtTKLG+\nYhcM7YEIvvjuE3n/dffykb+9nwtedySdxTySyOdETpDLibxETqp5nGwfPUZK+zsys4PUMQu7+a1X\nH9bSz0hrjuIqSa8CKsCTwKUAEfGgpJuAh4Bh4CMRMZJSjeMrdkJUYGSQOZ1lvvmff4OP3vivrHt4\nOyOVoBJBpRKMRFAJqIxu8wXcZjbFzj3hiJkZFBFxQZ19VwJXTmM5zUvuScHgHiiU6SkX+Pr7T57w\nZTEaHBGMVIIIkjBxgpjZ5BRzrT95NbWzng5qo/ekSOYpGiWJvCCPKLbf1SFmZmPyEh6TUUw6iqG+\ndOswM5sGDorJ2NdROCjMbOZzUExGKbnL3aCDwsxmPgfFZOy7HaqDwsxmPgfFZDgozCxDHBSTsS8o\nmjvryczsYOSgmIx9cxR70q3DzGwaOCgmY5LXUZiZHYwcFJOx7zoKdxRmNvM5KCYjXwTl3VGYWSY4\nKCZDqq73NLA77UrMzFrOQTFZC18N9/0VbLgh7UrMzFrKiwJO1rtvhG+9H75zKfz4zyDnVf7MLAWv\nOBPOau2C2w6KyeqeD++7FX78Odj+YNrVmFlWzV7U8o9wUByIfBHe+PG0qzAzaynPUZiZWV0OCjMz\nq8tBYWZmdTkozMysrlSCQtKfSHpA0gZJayUtSrYvkbQ32b5B0rVp1GdmZr+SVkdxdUScEBErgO8B\nn6rZ91hErEi+Lk2pPjMzS6QSFBHxYs3TbiDSqMPMzCaW2hyFpCslbQHey0s7iqXJsNPdkk6v8/pL\nJK2XtL63t7fl9ZqZZZUiWvPHvKR1wOFj7LoiIr5bc9xqoCMiPi2pDPRExA5JJwHfAZbv14GM9Vm9\nwJMHUO4C4NkDeH2rtXt94BqnimucGq6xMb8WEQsnOqhlQdEoSUcDt0fE8WPsuwv4w4hY3+Ia1kfE\nylZ+xoFo9/rANU4V1zg1XOPUSuusp2Nrnp4PPJJsXygpnzw+BjgWeHz6KzQzs1FprfV0laRXARWq\nQ0ajZze9AfispKFk36UR8VxKNZqZGSkFRURcMM72W4BbprkcgDUpfGYz2r0+cI1TxTVODdc4hVKf\nozAzs/bmJTzMzKwuB4WZmdWV6aCQtErSo5I2S7o87XoAJB0l6U5JD0l6UNIfJNvnSbpD0qbkfw9J\nuc68pH+V9L02rW+upJslPSLpYUmntWGN/y35/3ijpBskdaRdo6TrJG2XtLFm27g1SVqd/Pw8Kums\nFGu8Ovn/+gFJt0qa22411uz7mKSQtCDNGpuR2aBITsP9MnA2sAx4t6Rl6VYFwDDwsYhYBpwKfCSp\n63LghxFxLPDD5Hma/gB4uOZ5u9X3f4F/iIhXA6+lWmvb1CjpSOD3gZXJNUR54KI2qPGvgFX7bRuz\npuS/y4uA5clrrhk9vT2FGu8Ajo+IE4B/B1a3YY1IOgp4C/D/aralVWPDMhsUwCnA5oh4PCIGgRup\nXtORqoh4OiLuTx7vovoL7kiqtX0jOewbwNvSqRAkLQbeCny9ZnM71TeH6qnWfwEQEYMRsZM2qjFR\nADolFYAu4ClSrjEifgTsf0r6eDWdD9wYEQMR8QtgM9Wfq2mvMSLWRsRw8vQeYHG71Zj4PPBHvHR9\nu1RqbEaWg+JIYEvN863JtrYhaQlwIvBT4LCIeDrZ9UvgsJTKAvgC1f/YKzXb2qm+pUAv8JfJ8NjX\nJXXTRjVGxDbgT6n+Zfk08EJErKWNaqwxXk3t+jP0QeAHyeO2qVHS+cC2iPi3/Xa1TY3jyXJQtDVJ\nPVSvKfno/mtdRfWc5lTOa5Z0LrA9Iu4b75g060sUgNcBX4mIE4E97DeEk3aNyTj/+VRDbRHQLeni\n2mPSrnEs7VhTLUlXUB2+vT7tWmpJ6gL+mJcugHrQyHJQbAOOqnm+ONmWOklFqiFxfUR8O9n8jKQj\nkv1HANtTKu/1wHmSnqA6XPdbkr7ZRvVB9S+yrRHx0+T5zVSDo51qPBP4RUT0RsQQ8G3gN9usxlHj\n1dRWP0OSPgCcC7w3fnWBWLvU+OtU/yj4t+RnZzFwv6TDaZ8ax5XloPgZcKykpZJKVCeTbku5JiSJ\n6tj6wxHxuZpdtwHvTx6/H/ju/q+dDhGxOiIWR8QSqv9m/xQRF7dLfQAR8UtgS7JMDMAZwEO0UY1U\nh5xOldRBjptIAAACg0lEQVSV/H9+BtX5qHaqcdR4Nd0GXCSpLGkp1bXZ7k2hPiStojocel5E9NXs\naosaI+LnEXFoRCxJfna2Aq9L/lttixrriojMfgHnUD1D4jGqy5+3Q03/gWpr/wCwIfk6B5hP9YyT\nTcA6YF4b1PpG4HvJ47aqD1gBrE/+Hb8DHNKGNX6G6oKYG4G/Acpp1wjcQHXOZIjqL7Pfq1cTcEXy\n8/MocHaKNW6mOs4/+jNzbbvVuN/+J4AFadbYzJeX8DAzs7qyPPRkZmYNcFCYmVldDgozM6vLQWFm\nZnU5KMzMrC4HhVnKJL1xdBVes3bkoDAzs7ocFGYNknSxpHslbZD01eSeHLslfT65r8QPJS1Mjl0h\n6Z6a+yMckmx/haR1kv5N0v2Sfj15+x796v4Z1ydXa5u1BQeFWQMkHQe8C3h9RKwARoD3At3A+ohY\nDtwNfDp5yV8DH4/q/RF+XrP9euDLEfFaqms7ja7KeiLwUar3RjmG6ppaZm2hkHYBZgeJM4CTgJ8l\nf+x3Ul0crwL8XXLMN4FvJ/fDmBsRdyfbvwF8S9Is4MiIuBUgIvoBkve7NyK2Js83AEuAf279t2U2\nMQeFWWMEfCMiVr9ko/TJ/Y6b7Jo4AzWPR/DPprURDz2ZNeaHwO9IOhT23Uf616j+DP1Ocsx7gH+O\niBeA5yWdnmx/H3B3VO9YuFXS25L3KCf3KTBra/6rxawBEfGQpE8AayXlqK4K+hGqN0U6Jdm3neo8\nBlSX4742CYLHgd9Ntr8P+Kqkzybv8c5p/DbMJsWrx5odAEm7I6In7TrMWslDT2ZmVpc7CjMzq8sd\nhZmZ1eWgMDOzuhwUZmZWl4PCzMzqclCYmVld/x8/z3lcjpYHaAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1200d02e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize training history\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy\n",
    "# fix random seed for reproducibility\n",
    "seed = 7\n",
    "numpy.random.seed(seed)\n",
    "\n",
    "# split into input (X) and output (Y) variables\n",
    "X = data_list\n",
    "Y = label_list\n",
    "\n",
    "# create model\n",
    "model = Sequential()\n",
    "model.add(Dense(12, input_dim=54, kernel_initializer='uniform', activation='relu'))\n",
    "model.add(Dense(8, kernel_initializer='uniform', activation='relu'))\n",
    "model.add(Dense(1, kernel_initializer='uniform', activation='sigmoid'))\n",
    "\n",
    "# Compile model\n",
    "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "\n",
    "# Fit the model\n",
    "history = model.fit(X, Y, validation_split=0.33, epochs=150, batch_size=10, verbose=0)\n",
    "\n",
    "# evaluate the model\n",
    "scores = model.evaluate(X, Y)\n",
    "print(\"\\n%s: %.2f%%\" % (model.metrics_names[1], scores[1]*100))\n",
    "# list all data in history\n",
    "\n",
    "print(history.history.keys())\n",
    "\n",
    "# summarize history for accuracy\n",
    "plt.plot(history.history['acc'])\n",
    "plt.plot(history.history['val_acc'])\n",
    "plt.title('model accuracy')\n",
    "plt.ylabel('accuracy')\n",
    "plt.xlabel('epoch')\n",
    "plt.legend(['train', 'test'], loc='upper left')\n",
    "plt.show()\n",
    "\n",
    "# summarize history for loss\n",
    "plt.plot(history.history['loss'])\n",
    "plt.plot(history.history['val_loss'])\n",
    "plt.title('model loss')\n",
    "plt.ylabel('loss')\n",
    "plt.xlabel('epoch')\n",
    "plt.legend(['train', 'test'], loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}