axelrod-fortran 0.4.1

Python wrapper for strategies originally written in Fortran

Python wrapper for strategies originally written in Fortran.

• Free software: MIT license

Installation

To use this library the original Fortran code must be compiled: https://github.com/Axelrod-Python/TourExec.

pip install axelrod-fortran

Usage

Running a match:

>>> import axelrod_fortran as axlf
>>> import axelrod as axl
>>> p1 = axlf.Player('k31r')
>>> p2 = axlf.Player('k33r')
>>> match = axl.Match((p1, p2), turns=5)
>>> match.play()
[(C, C), (C, C), (C, D), (C, D), (C, C)]

Contributing

Please see CONTRIBUTING.rst for details about installing for development and running the test suite.

Changelog

v0.4.1 (2017-11-29)

• Tag K31R as implemented by GoByMajority

• Tag K32R as implemented by Kluepfel

• Tag K42R as implemented by Borufsen

• Tag K44R as implemented by WmAdams

• Tag K49R as implemented by Cave

v0.4.0 (2017-10-20)

• Add ability to pass name of shared library file

v0.3.2 (2017-10-13)

• Tag K76R as implemented by axl.Gladstein

• Tag K67R as implemented by axl.Tranquilizer

• Tag K90R as implemented by axl.TitFor2Tats

• Tag K86R as implemented by axl.MoreGrofman

• Remove Tag showing K61R as implemented by axl.Champion

• Add test for Champion (K61R)

v0.3.1 (2017-08-04)

• Identify strategy K61R as Champion by Danny Champion ranked at 2.

v0.3.0 (2017-08-04)

• Identify strategy K92R as Tit For Tat by Anatol Rapoport ranked at 1.

v0.2.0 (2017-07-30)

• Identify strategy K74R as participating in the second tournament, written by Edward Friedland and ranked at 61

All changes between v0.1.0 and this release

v0.1.0 (2017-07-29)

• Player class to wrap a fortran strategy function into the axelrod library

• Characteristics dict with details of stochasticity, author and original ranking for each function

• Pre-built lists for all strategies and strategies which participated in Axelrod’s second tournament