{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e4d43863",
   "metadata": {},
   "source": [
    "# setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "97f08c2f",
   "metadata": {},
   "outputs": [],
   "source": [
    "input = open(\"input\",\"rt\").read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "e8a71b8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "splinput = input.split(\"\\n\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "fd29a42b",
   "metadata": {},
   "outputs": [],
   "source": [
    "numbers = list(map(int, splinput[0].split(',')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "1a0fb4f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "grids = []\n",
    "ingrids = [l.splitlines() for l in splinput[1:]]\n",
    "for grid in ingrids:\n",
    "    rows = []\n",
    "    for row in grid:\n",
    "        rows.append(list(map(lambda x: (int(x), False),row.strip().replace('  ',' ').split(' '))))\n",
    "    grids.append(rows)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2891f090",
   "metadata": {},
   "source": [
    "# commons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "a460886c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def mark(ingrids, number):\n",
    "    grids = []\n",
    "    for grid in ingrids:\n",
    "        rows = []\n",
    "        for row in grid:\n",
    "            rows.append(list(map(lambda x: (x[0], x[1] or x[0]==number), row)))\n",
    "        grids.append(rows)\n",
    "    return grids\n",
    "\n",
    "def atleast1_row_completed(grid):\n",
    "    for row in grid:\n",
    "        if all(map(lambda x: x[1], row)):\n",
    "            return True\n",
    "    return False\n",
    "\n",
    "def wining_grid(grid):\n",
    "    return atleast1_row_completed(grid) or atleast1_row_completed(list(map(list,zip(*grid))))\n",
    "\n",
    "from itertools import chain\n",
    "\n",
    "def sum_unmarked(grid):\n",
    "    return sum(map(lambda x: x[0], filter(lambda x: not x[1], list(chain(*grid)))))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "504cbf6d",
   "metadata": {},
   "source": [
    "# part 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "e18c276b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "74320"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def run_1(grids, numbers):\n",
    "    for number in numbers:\n",
    "        grids = mark(grids, number)\n",
    "        for grid in grids:\n",
    "            if wining_grid(grid):\n",
    "                return number *sum_unmarked(grid)               \n",
    "\n",
    "run_1(grids, numbers)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48f45375",
   "metadata": {},
   "source": [
    "# part 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "61f6c035",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17884"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def run_2(grids, numbers):\n",
    "    for (i, number) in enumerate(numbers):\n",
    "        grids = mark(grids, number)\n",
    "        # stop if all grid are winning except one\n",
    "        loosing_grids = list(filter(lambda g: not wining_grid(g), grids))\n",
    "        if len(loosing_grids) == 1:\n",
    "            lg = loosing_grids[0]\n",
    "            return run_1([lg], numbers[i:])\n",
    "\n",
    "run_2(grids, numbers)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}