{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pi2 = open('advent02.txt').read().strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['24x25x17', '14x6x11']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pi2.splitlines()[-2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1588178"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total = 0\n",
    "for package in pi2.splitlines():\n",
    "    dims = [int(d) for d in package.split('x')]\n",
    "    areas = [dims[0]*dims[1], dims[0]*dims[2], dims[1]*dims[2]]\n",
    "    slack = min(areas)\n",
    "    paper = slack + sum(areas)*2\n",
    "    total += paper\n",
    "total"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3783758"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total = 0\n",
    "for package in pi2.splitlines():\n",
    "    dims = [int(d) for d in package.split('x')]\n",
    "    perims = [p*2 for p in [dims[0]+dims[1], dims[0]+dims[2], dims[1]+dims[2]]]\n",
    "    length = min(perims)\n",
    "    vol = dims[0] * dims[1] * dims[2]\n",
    "    ribbon = length + vol\n",
    "    total += ribbon\n",
    "total"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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