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"author": "WillDudley",
"author_email": "Will2346@live.co.uk",
"bugtrack_url": null,
"classifiers": [
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3"
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"description": "`pip install margingame`\n\nThis package is mainly for just one class, `Initialise(...)`. \nYou can:\n\n- Pass in non-default parameters for a custom game.
\n- Get attributes, notably payoff matrices as Pandas dataframes.
\n- Use the method to calculate the Nash equilibria.
\n
\n\nSee the code, notably Initialise.py, for more info.\n\n\n Main Uses
\n Interactive payoff matrices for both players
\n\n - In a .ipynb file, run the code `from margingame.notebook.visualise import visualise`.
\n - Install any missing packages flagged by an error if there are any (this is due to a bug).
\n - Run `visualise()`.
\n
\n Notes
\n\n - You can click the left margin of the output cell to expand/truncate it.
\n - Changing the domains of the payoff matrices is achieved by passing the relevant arguments into `visualise`.
\n - It's slow, I know.
\n
\n\n Calculate the nash equlibria
\n\n - Run the code `from margingame.Initialise import Initialise'.
\n - Create your game with `Game = Initialise(...)', specifying any non-default parameters desired.
\n - Calculate the nash equlibria via support enumeration via `Game.calculate_equilibria_support_enum()`.
\n
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