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Python wrapper for strategies originally written in Fortran

Project description

Python wrapper for strategies originally written in Fortran.

  • Free software: MIT license


To use this library the original Fortran code must be compiled:

pip install axelrod-fortran


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)
[(C, C), (C, C), (C, D), (C, D), (C, C)]


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


v0.4.2 (2018-01-10)

  • Tag K35R as implemented by Getzler
  • Tag K41R as implemented by Weiner
  • Tag K60R as implemented by GraaskampKatzen
  • Tag K68R as implemented by Leyvraz
  • Tag K72R as implemented by White
  • Tag K75R as implemented by Harrington
  • Tag K83R as implemented by Black
  • Tag K84R as implemented by MoreTidemanAndChieruzz

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

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axelrod_fortran-0.4.2-py3-none-any.whl (7.8 kB) Copy SHA256 hash SHA256 Wheel py3 Jan 10, 2018
axelrod-fortran-0.4.2.tar.gz (10.7 kB) Copy SHA256 hash SHA256 Source None Jan 10, 2018

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