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import math
import threading
from collections import Counter
from enum import Enum
class LetterState(Enum):
NOT_USED = "NOT_USED"
RIGHT_POSTION = "RIGHT_POSTION"
WRONG_POSITION = "WRONG_POSITION"
NONE = "NONE"
class PatternState(Enum):
GREEN = "GREEN"
YELLOW = "YELLOW"
GRAY = "GRAY"
class Pattern:
def __init__(self, states):
assert (len(states) == 5)
self.states = states
def __repr__(self):
return f"{self.states[0]} {self.states[1]} {self.states[2]} {self.states[3]} {self.states[4]}"
class Letter:
def __init__(self, char, position=-1, state=LetterState.NONE):
self.char = char.upper()
self.position = position
self.state = state
self.possible_positions = [0, 1, 2, 3, 4]
def __repr__(self):
return f"Letter(char='{self.char}', position={self.position}, state={self.state.name})"
class Word:
def __init__(self, word, self_info):
self.word = word
self.self_info = self_info
def __repr__(self):
return f"Word(word={self.word}, info={self.self_info})"
letters = []
for i in range(0, 26):
letters.append(Letter(chr(ord('a') + i)))
print(letters[i])
words = []
with open('../data/words.txt', 'r') as file:
for word in file:
words.append(Word(word.strip(), 0))
patterns = []
patterns_size = 3**5
for i in range(0, patterns_size):
tmp = i
p = [PatternState.GREEN] * 5
for j in range(0, 5):
if tmp % 3 == 2:
p[j] = PatternState.GREEN
if tmp % 3 == 1:
p[j] = PatternState.YELLOW
if tmp % 3 == 0:
p[j] = PatternState.GRAY
tmp = tmp // 3
patterns.append(Pattern(p))
# print(patterns[i])
############## TUDO INICIALIZADO #################################
# calcular a entropia, e pegar a palavra que da mais informacao
# pi = probabilidade do padrao i dado a palavra x
# -sum(pi * log2(pi))
def get_pattern_given_answer(guess, answer):
pattern = [PatternState.GRAY] * 5
used = [False] * 5
for i in range(5):
if guess[i] == answer[i]:
pattern[i] = PatternState.GREEN
used[i] = True
for i in range(5):
if pattern[i] == PatternState.GREEN:
continue
for j in range(5):
if not used[j] and guess[i] == answer[j]:
pattern[i] = PatternState.YELLOW
used[j] = True
break
return Pattern(pattern)
# p(word | pat) = numero de palavras que fazem o padrao pat se eu colocasse word
# palavras restantes
def calculate_entropy(word):
pattern_freq = Counter()
for answer in words:
pat = get_pattern_given_answer(word.word, answer.word)
pattern_freq[tuple(pat.states)] += 1
entropy = 0
for pat in patterns:
pi = pattern_freq[tuple(pat.states)] / len(words)
if pi == 0:
continue
entropy += pi * math.log2(pi)
return -entropy
def parse_pattern(pattern_input):
ret_pat = [PatternState.GRAY] * 5
for i in range(5):
if (pattern_input[i] == 'G'):
ret_pat[i] = PatternState.GREEN
if (pattern_input[i] == 'Y'):
ret_pat[i] = PatternState.YELLOW
if (pattern_input[i] == 'B'):
ret_pat[i] = PatternState.GRAY
return Pattern(ret_pat)
def filter_words(words, guess, pattern):
ret = []
for w in words:
if (get_pattern_given_answer(guess.word, w.word).states == pattern.states):
ret.append(w)
return ret
while (len(words) > 1):
print(f"size: {len(words)}")
for word in words:
entropy = calculate_entropy(word)
word.self_info = entropy
# print(f"word {word.word}, entropy: {entropy}")
words.sort(key=lambda w: w.self_info, reverse=True)
for w in words[:15]:
print(w)
# update words
guess_input = input("Enter your guess word: ").strip().lower()
pattern_input = input("Enter the resulting pattern (G/Y/B): ").strip()
assert (len(pattern_input) == 5)
pattern = parse_pattern(pattern_input)
words = filter_words(words, Word(guess_input, 0), pattern)
print(words[0])
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