{ "cells": [ { "cell_type": "code", "execution_count": 160, "metadata": {}, "outputs": [], "source": [ "raw_warehouse = []\n", "raw_route = []\n", "reading_map = True\n", "with open('testinput','r') as infile:\n", " for line in data:\n", " line = line.strip()\n", " if reading_map:\n", " if len(line) >0:\n", " raw_warehouse.append(list(line))\n", " else:\n", " reading_map = False\n", " else:\n", " for char in line:\n", " if char in \"<>v^\":\n", " raw_route.append(char)\n", "\n" ] }, { "cell_type": "code", "execution_count": 161, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "warehouse=np.array(raw_warehouse)" ] }, { "cell_type": "code", "execution_count": 162, "metadata": {}, "outputs": [], "source": [ "conv_direction = {\n", " '<' : np.array([0,-1]),\n", " '>' : np.array([0,1]),\n", " '^' : np.array([-1,0]),\n", " 'v' : np.array([1,0])\n", "}" ] }, { "cell_type": "code", "execution_count": 163, "metadata": {}, "outputs": [], "source": [ "def in_bounds(pos,warehouse):\n", " return pos[0] >= 0 and pos[0]= 0 and pos[1] < len(warehouse[pos[0]])" ] }, { "cell_type": "code", "execution_count": 164, "metadata": {}, "outputs": [], "source": [ "def next_pos(pos,direction,warehouse):\n", " return tuple(np.array(pos) + conv_direction[direction])\n", " # return newpos if in_bounds(newpos,warehouse) else None\n" ] }, { "cell_type": "code", "execution_count": 165, "metadata": {}, "outputs": [], "source": [ "def can_move(pos,direction,warehouse):\n", " new_pos = next_pos(pos,direction,warehouse)\n", " if in_bounds(new_pos,warehouse):\n", " match warehouse[new_pos]:\n", " case '.':\n", " return True\n", " case '#':\n", " return False\n", " case 'O':\n", " # Find next wall in that direction and look for at least on free space\n", " cursor = new_pos\n", " \n", " \n", "\n", " return False\n" ] }, { "cell_type": "code", "execution_count": 166, "metadata": {}, "outputs": [], "source": [ "def get_locations(warehouse,target='@'):\n", " return list(zip(*np.where(warehouse==target)))" ] }, { "cell_type": "code", "execution_count": 167, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 167, "metadata": {}, "output_type": "execute_result" } ], "source": [ "can_move(get_locations(warehouse)[0],'<',warehouse)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "pdf", "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": "3.12.7" } }, "nbformat": 4, "nbformat_minor": 2 }