{ "metadata": { "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.6-final" }, "orig_nbformat": 2, "kernelspec": { "name": "python3", "display_name": "Python 3.8.6 64-bit", "metadata": { "interpreter": { "hash": "1ddf53fa84779e14f0db18342168679c9c165a81c5f324dac828befab228d68d" } } } }, "nbformat": 4, "nbformat_minor": 2, "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Get puzzle input from input file\n", "\n", "puzzle_input = open(\"input\").read()" ] }, { "source": [ "# Part 1 #" ], "cell_type": "markdown", "metadata": {} }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "2572\n" ] } ], "source": [ "delivered = {(0,0)}\n", "\n", "x, y = 0, 0\n", "ops = {\n", " \"^\": [+0, +1],\n", " \"v\": [-0, -1],\n", " \"<\": [-1, -0],\n", " \">\": [+1, +0]\n", "}\n", "for char in puzzle_input:\n", " dx, dy = ops[char]\n", " x += dx\n", " y += dy\n", " delivered.add((x, y))\n", "print(len(delivered))" ] }, { "source": [ "# Part 2 #" ], "cell_type": "markdown", "metadata": {} }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "2631\n" ] } ], "source": [ "delivered = {(0,0)}\n", "\n", "santa = (0, 0)\n", "robo_santa = (0, 0)\n", "ops = {\n", " \"^\": [+0, +1],\n", " \"v\": [-0, -1],\n", " \"<\": [-1, -0],\n", " \">\": [+1, +0]\n", "}\n", "robot = False\n", "for char in puzzle_input:\n", " dx, dy = ops[char]\n", " if robot:\n", " robo_santa = (robo_santa[0]+dx, robo_santa[1]+dy)\n", " delivered.add(robo_santa)\n", " else:\n", " santa = (santa[0]+dx, santa[1]+dy)\n", " delivered.add(santa)\n", " robot = not robot\n", "print(len(delivered))" ] } ] }