Last active
March 14, 2022 03:56
-
-
Save magnusviri/a93b5ab02663f30eac176ca49b0250e3 to your computer and use it in GitHub Desktop.
What are the most popular letters, what words have the most popular letters, and a set of words that can reveal the most popular letters.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/bin/env python3 | |
# See https://magnusviri.com/wordle.html | |
# use with https://github.com/tabatkins/wordle-list | |
from string import ascii_lowercase | |
from pprint import pprint | |
# Set all chars to 0 | |
char_scores = [] | |
for i in range(6): | |
char_scores.append({}) | |
for char in ascii_lowercase: | |
char_scores[i][char] = 0 | |
# Read the word file, save the words, count the chars in each position | |
fh = open("words.txt") | |
words = {} | |
for line in fh: | |
words[line.rstrip()] = 0 | |
for i, char in enumerate(line.rstrip()): | |
char_scores[i][char] += 1 | |
char_scores[5][char] += 1 | |
fh.close() | |
# Give each word a score | |
for word in words: | |
for i, char in enumerate(word): | |
words[word] += char_scores[i][char] | |
# Sort the words by score | |
sorted_words = sorted(words.items(), key=lambda x:x[1], reverse=True) | |
# Remove words with duplicate chars | |
uniq_words = [] | |
for word_hash in sorted_words: | |
chars = {} | |
uniq = True | |
for i, char in enumerate(word_hash[0]): | |
if not char in chars: | |
chars[char] = 1 | |
else: | |
uniq = False | |
if uniq: | |
uniq_words.append((word_hash[0], word_hash[1], chars)) | |
# uniq_words.append(word_hash) | |
# pprint(uniq_words) | |
# Find word sets | |
def build_word_set(depth, word_index, max_words, word_data, word_sets): | |
counter = word_index+1 | |
asdf = True | |
if (depth < 4): | |
while counter < len(uniq_words): | |
word1 = uniq_words[counter] | |
uniq = 0 | |
# Make sure word is different enough | |
for i, char in enumerate(word1[0]): | |
for word, points, chars in word_data: | |
if char in chars: | |
uniq += 1 | |
# if word[i] == char: | |
# uniq += 1 | |
# if word[0] == "s": | |
# uniq += 1 | |
if uniq < 1 or depth >= 2 and uniq < depth: | |
build_word_set(depth+1, counter, max_words, word_data+[word1], word_sets) | |
asdf = False | |
break | |
else: | |
counter += 1 | |
if asdf: | |
words = [] | |
score = 0 | |
for word, points, chars in word_data: | |
words.append(word) | |
score += points | |
word_sets[", ".join(words)] = score | |
word_sets = {} | |
max_words = 40 | |
for i in range(max_words): | |
words = build_word_set(0, i, max_words, [uniq_words[i]], word_sets) | |
sorted_word_sets = sorted(word_sets.items(), key=lambda x:x[1], reverse=True) | |
# Print word scores | |
pprint(sorted_words) | |
# Print letter scores | |
ranked_chars = [] | |
for i in range(6): | |
ranked_chars.append(sorted(char_scores[i].items(), key=lambda x:x[1], reverse=True)) | |
pprint(ranked_chars) | |
# Print word sets | |
pprint(sorted_word_sets) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment