106 lines
2.9 KiB
Plaintext
106 lines
2.9 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import re\n",
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"import numpy as np\n",
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"# pattern = re.compile(r'(\\d+)-(\\d+),(\\d+)-(\\d+)')\n",
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"numbers_pattern = re.compile(r'((?:(?<!\\d)-)?\\d+)')\n",
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"\n",
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"with open('input/5', 'r') as file:\n",
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" lines = file.readlines()\n",
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"\n",
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"# numbers = [[int(x) for x in numbers_pattern.findall(line)] for line in lines]\n",
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"# print(numbers)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Part 1: GFTNRBZPF\n",
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"Part 2: VRQWPDSGP\n"
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]
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}
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],
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"source": [
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"stacks = {}\n",
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"# [J] [F] [M] \n",
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"# [Z] [F] [G] [Q] [F] \n",
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"# [G] [P] [H] [Z] [S] [Q] \n",
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"# [V] [W] [Z] [P] [D] [G] [P] \n",
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"# [T] [D] [S] [Z] [N] [W] [B] [N] \n",
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"# [D] [M] [R] [J] [J] [P] [V] [P] [J]\n",
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"# [B] [R] [C] [T] [C] [V] [C] [B] [P]\n",
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"# [N] [S] [V] [R] [T] [N] [G] [Z] [W]\n",
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"# 1 2 3 4 5 6 7 8 9 \n",
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"stacks[1] = [c for c in 'NBDTVGZJ']\n",
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"stacks[2] = [c for c in 'SRMDWPF']\n",
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"stacks[3] = [c for c in 'VCRSZ']\n",
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"stacks[4] = [c for c in 'RTJZPHG']\n",
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"stacks[5] = [c for c in 'TCJNDZQF']\n",
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"stacks[6] = [c for c in 'NVPWGSFM']\n",
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"stacks[7] = [c for c in 'GCVBPQ']\n",
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"stacks[8] = [c for c in 'ZBPN']\n",
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"stacks[9] = [c for c in 'WPJ']\n",
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"base_stacks = {k:[x for x in v] for k,v in stacks.items()}\n",
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"\n",
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"# numbers = numbers[10:]\n",
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"# print(numbers)\n",
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"for l in lines[10:]:\n",
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" n = [int(x) for x in numbers_pattern.findall(l)]\n",
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" num, source, dest = n\n",
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" for i in range(0, num):\n",
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" stacks[dest].append(stacks[source].pop())\n",
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"# print(stacks)\n",
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"print('Part 1: ' + ''.join(s[-1] for s in stacks.values()))\n",
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"\n",
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"stacks = base_stacks\n",
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"for l in lines[10:]:\n",
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" n = [int(x) for x in numbers_pattern.findall(l)]\n",
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" num, source, dest = n\n",
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" stacks[dest] += stacks[source][-num:]\n",
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" stacks[source] = stacks[source][:-num]\n",
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"# print(stacks)\n",
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"print('Part 2: ' + ''.join(s[-1] for s in stacks.values()))\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.11.0 64-bit",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.0"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "5c7b89af1651d0b8571dde13640ecdccf7d5a6204171d6ab33e7c296e100e08a"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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