6.ipynb

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  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
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   "outputs": [],
   "source": [
    "inp_file = open('6.txt', 'r')\n",
    "inp = inp_file.read()\n",
    "lines = inp.split('\\n')[:-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "col = lambda n: [s[n] for s in lines]\n",
    "cols = map(col, range(8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def find_max(col):\n",
    "    charset = set(col)\n",
    "    occ = map(lambda c: (c, col.count(c)), charset)\n",
    "    return max(occ, key=lambda x: x[1])[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'wkbvmikb'"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "''.join(map(find_max, cols))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'evakwaga'"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def find_min(col):\n",
    "    charset = set(col)\n",
    "    occ = map(lambda c: (c, col.count(c)), charset)\n",
    "    return min(occ, key=lambda x: x[1])[0]\n",
    "''.join(map(find_min, cols))"
   ]
  }
 ],
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