{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "import string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "comment_mark = re.compile('<[^>]*>')\n",
    "expand_mark = re.compile(':(\\d+):(\\d+):')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def decomment(text):\n",
    "    m = comment_mark.search(text)\n",
    "    while m:\n",
    "        s = m.start()\n",
    "        e = m.end()\n",
    "        text = text[:s] + text[e:]\n",
    "        m = comment_mark.search(text)\n",
    "    return text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def expand(text, expansion_limit=None):\n",
    "    i = 1\n",
    "    m = expand_mark.search(text)\n",
    "    while m and (expansion_limit is None or (expansion_limit is not None and i <= expansion_limit)):\n",
    "        l = int(m.group(1))\n",
    "        n = int(m.group(2))\n",
    "        s = m.start()\n",
    "        e = m.end()\n",
    "        if l > s:\n",
    "            l = s\n",
    "        text = text[:s-l] + text[s-l:s] * n + text[e:]\n",
    "        m = expand_mark.search(text)\n",
    "        i += 1\n",
    "    return text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_p_t = [l.strip() for l in open('../../data/05-instructions.txt')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_p = [decomment(l) for l in data_p_t]\n",
    "data = [expand(l) for l in data_p]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "149043"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len([c for c in ''.join(data_p) if c not in string.whitespace])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "302266"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len([c for c in ''.join(data) if c not in string.whitespace])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_s_p_t = open('../../data/05-instructions.txt').read()\n",
    "data_s_p = decomment(data_s_p_t)\n",
    "data_s = expand(data_s_p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "149043"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(1 for c in data_s_p if c not in string.whitespace)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "302266"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(1 for c in data_s if c not in string.whitespace)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27.5 ms ± 951 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "data_p = [decomment(l) for l in data_p_t]\n",
    "data = [expand(l) for l in data_p]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "875 ms ± 5.02 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "data_s_p = decomment(data_s_p_t)\n",
    "data_s = expand(data_s_p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}