from typing import Tuple def parse() -> Tuple[set[str], set[str], list[Tuple[list[str], list[str]]]]: ingredient_set = set() allergen_set = set() output = [] with open("input.txt") as file: for line in file: ingredients, allergens = line.rstrip().split(" (contains ") ingredients_list = list(map(str.strip, ingredients.split(" "))) allergens_list = list(map(str.strip, allergens[:-1].split(","))) [ingredient_set.add(ingredient) for ingredient in ingredients_list] [allergen_set.add(allergen) for allergen in allergens_list] output.append((ingredients_list, allergens_list)) return ingredient_set, allergen_set, output def predict_ingredients(data: list[Tuple[list[str], list[str]]], allergen: str) -> list[str]: counted_occurrences = {} for ingredients, allergens in data: if allergen in allergens: for ingredient in ingredients: if ingredient not in counted_occurrences: counted_occurrences[ingredient] = 0 counted_occurrences[ingredient] += 1 found_ingredients = set() for ingredients, allergens in data: if allergen in allergens: max_occurrences = max([val if key in ingredients else 0 for (key, val) in counted_occurrences.items()]) for ingredient in ingredients: if counted_occurrences[ingredient] == max_occurrences: found_ingredients.add(ingredient) return list(found_ingredients) def solve_p1(data: list[Tuple[list[str], list[str]]], ingredients: set[str], allergens: set[str]) -> int: probable_ingredients = set() for allergen in allergens: for found in predict_ingredients(data, allergen): probable_ingredients.add(found) safe = ingredients.difference(probable_ingredients) counted = 0 for ingredients, _ in data: for ingredient in ingredients: if ingredient in safe: counted += 1 return counted INGREDIENTS, ALLERGENS, DATA = parse() print(solve_p1(DATA, INGREDIENTS, ALLERGENS)) def solve_p2(data: list[Tuple[list[str], list[str]]], ingredients: set[str], allergens: set[str]) -> int: assigned_allergens = [] for allergen in allergens: print(allergen, predict_ingredients(data, allergen)) solve_p2(DATA, INGREDIENTS, ALLERGENS)