2022 Day 5 cheeky notebook

2022/day5.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re\n",
+    "import numpy as np\n",
+    "# pattern = re.compile(r'(\\d+)-(\\d+),(\\d+)-(\\d+)')\n",
+    "numbers_pattern = re.compile(r'((?:(?<!\\d)-)?\\d+)')\n",
+    "\n",
+    "with open('input/5', 'r') as file:\n",
+    "    lines = file.readlines()\n",
+    "\n",
+    "# numbers = [[int(x) for x in numbers_pattern.findall(line)] for line in lines]\n",
+    "# print(numbers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Part 1: GFTNRBZPF\n",
+      "Part 2: VRQWPDSGP\n"
+     ]
+    }
+   ],
+   "source": [
+    "stacks = {}\n",
+    "# [J]             [F] [M]            \n",
+    "# [Z] [F]     [G] [Q] [F]            \n",
+    "# [G] [P]     [H] [Z] [S] [Q]        \n",
+    "# [V] [W] [Z] [P] [D] [G] [P]        \n",
+    "# [T] [D] [S] [Z] [N] [W] [B] [N]    \n",
+    "# [D] [M] [R] [J] [J] [P] [V] [P] [J]\n",
+    "# [B] [R] [C] [T] [C] [V] [C] [B] [P]\n",
+    "# [N] [S] [V] [R] [T] [N] [G] [Z] [W]\n",
+    "#  1   2   3   4   5   6   7   8   9 \n",
+    "stacks[1] = [c for c in 'NBDTVGZJ']\n",
+    "stacks[2] = [c for c in 'SRMDWPF']\n",
+    "stacks[3] = [c for c in 'VCRSZ']\n",
+    "stacks[4] = [c for c in 'RTJZPHG']\n",
+    "stacks[5] = [c for c in 'TCJNDZQF']\n",
+    "stacks[6] = [c for c in 'NVPWGSFM']\n",
+    "stacks[7] = [c for c in 'GCVBPQ']\n",
+    "stacks[8] = [c for c in 'ZBPN']\n",
+    "stacks[9] = [c for c in 'WPJ']\n",
+    "base_stacks = {k:[x for x in v] for k,v in stacks.items()}\n",
+    "\n",
+    "# numbers = numbers[10:]\n",
+    "# print(numbers)\n",
+    "for l in lines[10:]:\n",
+    "    n = [int(x) for x in numbers_pattern.findall(l)]\n",
+    "    num, source, dest = n\n",
+    "    for i in range(0, num):\n",
+    "        stacks[dest].append(stacks[source].pop())\n",
+    "# print(stacks)\n",
+    "print('Part 1: ' + ''.join(s[-1] for s in stacks.values()))\n",
+    "\n",
+    "stacks = base_stacks\n",
+    "for l in lines[10:]:\n",
+    "    n = [int(x) for x in numbers_pattern.findall(l)]\n",
+    "    num, source, dest = n\n",
+    "    stacks[dest] += stacks[source][-num:]\n",
+    "    stacks[source] = stacks[source][:-num]\n",
+    "# print(stacks)\n",
+    "print('Part 2: ' + ''.join(s[-1] for s in stacks.values()))\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.11.0 64-bit",
+   "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": "3.11.0"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "5c7b89af1651d0b8571dde13640ecdccf7d5a6204171d6ab33e7c296e100e08a"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}