advent02.ipynb

   1 {
   2  "cells": [
   3   {
   4    "cell_type": "code",
   5    "execution_count": 1,
   6    "metadata": {
   7     "collapsed": true
   8    },
   9    "outputs": [],
  10    "source": [
  11     "pi2 = open('advent02.txt').read().strip()"
  12    ]
  13   },
  14   {
  15    "cell_type": "code",
  16    "execution_count": 2,
  17    "metadata": {
  18     "collapsed": false
  19    },
  20    "outputs": [
  21     {
  22      "data": {
  23       "text/plain": [
  24        "['24x25x17', '14x6x11']"
  25       ]
  26      },
  27      "execution_count": 2,
  28      "metadata": {},
  29      "output_type": "execute_result"
  30     }
  31    ],
  32    "source": [
  33     "pi2.splitlines()[-2:]"
  34    ]
  35   },
  36   {
  37    "cell_type": "code",
  38    "execution_count": 3,
  39    "metadata": {
  40     "collapsed": false
  41    },
  42    "outputs": [
  43     {
  44      "data": {
  45       "text/plain": [
  46        "1588178"
  47       ]
  48      },
  49      "execution_count": 3,
  50      "metadata": {},
  51      "output_type": "execute_result"
  52     }
  53    ],
  54    "source": [
  55     "total = 0\n",
  56     "for package in pi2.splitlines():\n",
  57     "    dims = [int(d) for d in package.split('x')]\n",
  58     "    areas = [dims[0]*dims[1], dims[0]*dims[2], dims[1]*dims[2]]\n",
  59     "    slack = min(areas)\n",
  60     "    paper = slack + sum(areas)*2\n",
  61     "    total += paper\n",
  62     "total"
  63    ]
  64   },
  65   {
  66    "cell_type": "code",
  67    "execution_count": 4,
  68    "metadata": {
  69     "collapsed": false
  70    },
  71    "outputs": [
  72     {
  73      "data": {
  74       "text/plain": [
  75        "3783758"
  76       ]
  77      },
  78      "execution_count": 4,
  79      "metadata": {},
  80      "output_type": "execute_result"
  81     }
  82    ],
  83    "source": [
  84     "total = 0\n",
  85     "for package in pi2.splitlines():\n",
  86     "    dims = [int(d) for d in package.split('x')]\n",
  87     "    perims = [p*2 for p in [dims[0]+dims[1], dims[0]+dims[2], dims[1]+dims[2]]]\n",
  88     "    length = min(perims)\n",
  89     "    vol = dims[0] * dims[1] * dims[2]\n",
  90     "    ribbon = length + vol\n",
  91     "    total += ribbon\n",
  92     "total"
  93    ]
  94   },
  95   {
  96    "cell_type": "code",
  97    "execution_count": null,
  98    "metadata": {
  99     "collapsed": true
 100    },
 101    "outputs": [],
 102    "source": []
 103   }
 104  ],
 105  "metadata": {
 106   "kernelspec": {
 107    "display_name": "Python 3",
 108    "language": "python",
 109    "name": "python3"
 110   },
 111   "language_info": {
 112    "codemirror_mode": {
 113     "name": "ipython",
 114     "version": 3
 115    },
 116    "file_extension": ".py",
 117    "mimetype": "text/x-python",
 118    "name": "python",
 119    "nbconvert_exporter": "python",
 120    "pygments_lexer": "ipython3",
 121    "version": "3.4.3"
 122   }
 123  },
 124  "nbformat": 4,
 125  "nbformat_minor": 0
 126 }