Python comprehensions.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('x', ' ', 'o', 'x', 'x', 'x', 'o', ' ', 'o')"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tic_tac = (\n",
    "    'x o',\n",
    "    'xxx',\n",
    "    'o o'\n",
    ")\n",
    "\n",
    "all_values = tuple(\n",
    "    val\n",
    "    for row in tic_tac\n",
    "    for val in row\n",
    ")\n",
    "\n",
    "all_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('x', 'x', 'x', 'x')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "just_xes = tuple(\n",
    "    val\n",
    "    for row in tic_tac\n",
    "    for val in row\n",
    "    if val == 'x'\n",
    ")\n",
    "\n",
    "just_xes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(((0, 0), 'x'),\n",
       " ((1, 0), ' '),\n",
       " ((2, 0), 'o'),\n",
       " ((0, 1), 'x'),\n",
       " ((1, 1), 'x'),\n",
       " ((2, 1), 'x'),\n",
       " ((0, 2), 'o'),\n",
       " ((1, 2), ' '),\n",
       " ((2, 2), 'o'))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_values_with_pos = tuple(\n",
    "    ((x_pos, y_pos), val)\n",
    "    for y_pos, row in enumerate(tic_tac)\n",
    "    for x_pos, val in enumerate(row)\n",
    ")\n",
    "\n",
    "all_values_with_pos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(((0, 0), (1, 0), (2, 0)), ((0, 1), (1, 1), (2, 1)), ((0, 2), (1, 2), (2, 2)))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rows = tuple(\n",
    "    tuple((x, y) for x in range(3))\n",
    "    for y in range(3)\n",
    ")\n",
    "rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(((0, 0), (0, 1), (0, 2)), ((1, 0), (1, 1), (1, 2)), ((2, 0), (2, 1), (2, 2)))"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = tuple(\n",
    "    tuple((x, y) for y in range(3))\n",
    "    for x in range(3)\n",
    ")\n",
    "cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(('x', ' ', 'o'), ('x', 'x', 'x'), ('o', ' ', 'o'))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "row_values = tuple(\n",
    "    tuple(\n",
    "        val\n",
    "        for pos, val in all_values_with_pos\n",
    "        if pos in row\n",
    "    )\n",
    "    for row in rows\n",
    ")\n",
    "row_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(False, True, False)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def check_winner(strip):\n",
    "    return all(\n",
    "        strip[0] == item\n",
    "        for item in strip\n",
    "    )\n",
    "\n",
    "tuple(map(check_winner, row_values))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "any(map(check_winner, row_values))"
   ]
  },
  {
   "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": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}