ruin-wordle

Wordle is fun, so let's ruin it with computers.

Metrics

This repository assesses two metrics about each algorithm:

1. Success: how many of the words of the given length and number of guesses can it successfully solve?
2. Speed: what's the average number of guesses needed over all successful words?

Later, this repository will run multiple trials in order to assign confidence intervals for success and quality for randomized algorithms.

Strategies

This repository is a playground for implementing new solve strategies. Feel free to send a PR with your own (just subclass the Player class)!

Terminology:

1. Perfect guess: a guess that uses all previous information available, including knowledge about correct positions, unused letters, and used letters

Three word initial guess

This strategy involves deterministically guessing three words that cover a wide variety of vowels and consonants. For example, (lunch, metro, daisy) covers all five vowels and 10 different consonants.

It's pretty likely that with these choices, you will be able to deterministically solve for the word after one more perfect guess. It turns out that with this example, you can solve 96.9% of the time with an average of 4.27 guesses. That's pretty surprising, but also assumes you have computer-like recall of words.

Warnings

• This code uses https://pypi.org/project/english-words/. This has some weird stuff missing from it.

See also

• https://github.com/coolbutuseless/wordle