#!/usr/bin/python import string from collections import defaultdict import constraints import dictionary import game class SimilaritySolver(object): @staticmethod def _analyze_dictionary(words): # Word Position, Letter: Count position_matches = [ defaultdict(int), defaultdict(int), defaultdict(int), defaultdict(int), defaultdict(int), ] # Letter: Count word_matches = defaultdict(int) for word in words: unique_letters = set(word) for letter in unique_letters: word_matches[letter] += 1 for index in range(len(word)): letter = word[index] assert letter in string.ascii_lowercase position_matches[index][letter] += 1 return position_matches, word_matches @staticmethod def _score_word(position_matches, word_matches, word): result = 0 # Green Score for index in range(len(word)): letter = word[index] green_score = position_matches[index][letter] result += 10 * green_score # Yellow Score for letter in set(word): yellow_score = word_matches[letter] result += yellow_score return result def scored_words(self, wordle_dictionary=dictionary.words()): # word: score scored_words = dict() position_matches, word_matches = self._analyze_dictionary(wordle_dictionary) for word in wordle_dictionary: scored_words[word] = self._score_word(position_matches, word_matches, word) result = list(wordle_dictionary) result.sort(key=lambda word: scored_words[word], reverse=True) return [(word, scored_words[word]) for word in result] if __name__ == "__main__": solve = SimilaritySolver() consts = constraints.Constraints() consts.update_graded( "cares", [ game.LetterResult.INCORRECT, game.LetterResult.INCORRECT, game.LetterResult.INCORRECT, game.LetterResult.INCORRECT, game.LetterResult.INCORRECT, ], ) valid_words = consts.filter_words(dictionary.words()) print("Top: ", solve.scored_words(valid_words)[:5])