Setup

• Requires python version 3.5^
• Run pip3 install -r requirements.txt to install python requirements

To run the solver

This bot comes with a solver implementation that you can use "out of the box".

python3 wordle.py

Use the hardmode flag to solve using hard mode

python3 wordle.py --hardmode

Instructions

The solver starts by asking you for a first guess.

Input your first guess: raise

Then it will ask you for the result pattern that you see.

Input the result pattern (e.g. ybgbb): yybyb

y => yellow, b => gray, g => green

Then, the solver will give you the optimal next guess.

Your next guess should be clapt

Repeat this process until the solver comes up with the solution.

Input your first guess: raise
Input the result pattern (e.g. ybgbb): yybyb
Your next guess should be clapt
Input the result pattern (e.g. ybgbb): ybybb        
The answer is scram

To use the bot directly

# Import the wordle class into your code to use the bot.
from wordle import Wordle

# Initialize lists of strings which represent possible solutions and guesses
solutions, guesses = [], [] # Init custom solutions and guesses

# To use solutions and guesses used by main wordle site, you can use functions from wordle.py
from wordle import get_solutions, get_guesses
solutions = get_solutions('wordlist_solutions.txt')
guesses = get_guesses('wordlist_guesses.txt')

# Create an instance of the wordle bot by providing possible solutions and guesses
bot = Wordle(solutions=solutions, guesses=guesses, hard_mode=False)

# After you have made a guess, enter the pattern into the wordle bot
# Example: "raise" entered, result pattern: gray, yellow, gray, gray, green
bot.add_gray('r')
# Add the index of the yellow letter, followed by the letter
bot.add_yellow(1, 'a')
bot.add_gray('i')
bot.add_gray('s')
# Add the index of the green letter, followed by the letter
bot.add_green(4, 'e')

# Get the remaining possible solutions
remaining_solutions = bot.get_filtered_solutions()

# Get the next optimal guess
optimal_guess = bot.get_optimal_guess()

# You can make this function run faster by using multiple cores
optimal_guess = bot.get_optimal_guess_multiprocess(cores=10)