A Python package designed to play, develop strategies/algorithms, and implement the classic MasterMind board game.
A Python package designed to play, develop strategies/algorithms, and implement the classic MasterMind board game. It even includes a functioning, text-based implementation of MasterMind!
The source code for pymastermind is hosted on GitHub. You can install matermind through PyPI, with pip:
pip install pymastermind
pymastermind requires the following libraries:
- pandas, used by the SelfGame object
- tqdm, used to display progress bars when finding next guess. Note: only some algorithms support progress bars. See "Algorithms" below.
Read the full documentation for pymastermind here.
Play a game against your computer, or have your computer play itself, by running
main() and following text-based instructions.
>>> main() # initiate the game; print instructions & wait for inputs
Several useful classes are defined in the pymastermind module.
Code objects are list instances designed to store a MasterMind codes. You can compare two codes by using the
.compare() method. What's comparing?
>>> secret_code = Code(['a', 'b', 'c', 'd']) >>> guess = Code(['b', 'c', 'j', 'd']) >>> len(secret_code) == len(guess) True >>> secret_code.compare(guess) (1, 2)
Note: code objects must be of the same length to comapre.
Game objects are used to immitate gameplay.
>>> my_game = Game() # default: slots == 4, colors == ['a', 'b', 'c', 'd', 'e', 'f'] >>> secret_code = Code(['e', 'a', 'f', 'f']) >>> my_game.guess # always the same for given setup; see Wikipedia article ['a', 'a', 'b', 'b'] >>> blacks_and_whites = secret_code.compare(my_game.guess) >>> blacks_and_whites (1, 0) >>> my_game.new_guess(response, algorithm='minmax') # new guess using minmax algorithm (see below) >>> my_game.guess ['a', 'c', 'c', 'd'] >>> my_game.back() # go back one turn >>> my_game.guess ['a', 'a', 'b', 'b']
Read the documentation for an in-depth look at all the attributes and methods of a
A new guess can be generated using several different algorithms. Currently, pymastermind has two algorithms implemented:
- random (default algorithm)
- Set the guess to a random secret code possibility
- No progress bar support yet
- Set the guess to the guess that has the highest min-max score of all guesses. Read more here.
- Supports progress bars
See the full documentation for a more detailed description of the algorithms.
SelfGame is a subclass of Game that is used to "play" games with specified algorithms and obtain a pandas DataFrame full of information about the games played.
>>> my_self_game = SelfGame() # same defaults, so slots == 4, colors == ['a', 'b', 'c', 'd', 'e', 'f'] >>> df = my_self_game.play() # default: games == 10, algorithm == 'random' >>> type(df) <class 'pandas.core.frame.DataFrame'> >>> df.loc['Game 3', 'Turn 2'] # example query Time 0 days 00:00:00.000610 Start Possibilities 23 End Possibilities 4 Name: Game 3, dtype: object
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