Metadata-Version: 2.1
Name: pymastermind
Version: 1.2
Summary: A Python package designed to play, develop strategies/algorithms, and implement the classic MasterMind board game.
Home-page: https://github.com/thomasbreydo/pymastermind
Author: Thomas Breydo
Author-email: tbreydo@gmail.com
License: MIT
Download-URL: https://github.com/thomasbreydo/pymastermind/archive/v1.2.tar.gz
Description: # pymastermind
        ## Description
        A Python package designed to **play**, **develop** strategies/algorithms, and **implement** the classic [MasterMind](https://en.wikipedia.org/wiki/Mastermind_(board_game)) board game. It even includes a functioning, text-based implementation of MasterMind!
        
        ## Installation
        The source code for **pymastermind** is hosted on [GitHub](https://github.com/thomasbreydo/pymastermind). You can install matermind through PyPI, with pip:
        ```zsh
        pip install pymastermind
        ```
        ### Requirements
        **pymastermind** requires the following libraries:
        
        - [pandas](https://github.com/pandas-dev/pandas), used by the _SelfGame_ object
        - [tqdm](https://github.com/tqdm/tqdm), used to display progress bars when finding next guess. _Note: only some algorithms support progress bars. See "Algorithms" below._
        
        ## Documentation
        Read the full documentation for **pymastermind** [here](https://pymastermind.readthedocs.io).
        
        ## Example Usage
        ### Play
        Play a game against your computer, or have your computer play itself, by running `main()` and following text-based instructions.
        ```python3
        >>> main() # initiate the game; print instructions & wait for inputs
        ```
        ### Classes
        Several useful classes are defined in the **pymastermind** module.
        #### Code
        Code objects are list instances designed to store a MasterMind codes. You can compare two codes by using the `.compare()` method. [_What's comparing?_](https://en.wikipedia.org/wiki/Mastermind_(board_game)#Gameplay_and_rules)
        ```python3
        >>> 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
        Game objects are used to immitate gameplay.
        ```python3
        >>> 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](https://pymastermind.readthedocs.io/documentation) for an in-depth look at all the attributes and methods of a `Game`.
        ##### Algorithms
        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
        - _minmax_
            - Set the guess to the guess that has the highest min-max score of _all_ guesses. Read more [here](https://en.wikipedia.org/wiki/Mastermind_(board_game)#Five-guess_algorithm).
            - Supports progress bars
        
        See the full documentation for a more detailed description of the algorithms.
        #### SelfGame
        SelfGame is a subclass of Game that is used to "play" games with specified algorithms and obtain a pandas [DataFrame](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html) full of information about the games played.
        ```python3
        >>> 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
        ```
        
        ## License
        [MIT](https://choosealicense.com/licenses/mit/)
        
Keywords: GAME,MASTER,MIND,STRATEGY,BOARD,CODE
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Games/Entertainment :: Board Games
Classifier: Topic :: Games/Entertainment :: Turn Based Strategy
Description-Content-Type: text/markdown
