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* math/py-cma: Remove PYNUMPYPo-Chuan Hsieh2021-04-181-1/+1
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* Remove # $FreeBSD$ from Makefiles.Mathieu Arnold2021-04-061-1/+0
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* Drop python 2.7 support from a few portsAntoine Brodin2020-12-281-1/+1
| | | | | | | With hat: portmgr Notes: svn path=/head/; revision=559531
* Remove SKOPT optionSunpoet Po-Chuan Hsieh2020-09-051-3/+1
| | | | Notes: svn path=/head/; revision=547720
* Update to 3.0.3Sunpoet Po-Chuan Hsieh2020-05-082-4/+4
| | | | | | | Changes: https://github.com/CMA-ES/pycma/releases Notes: svn path=/head/; revision=534362
* Add PLOTTING and SKOPT optionsSunpoet Po-Chuan Hsieh2020-04-221-0/+7
| | | | Notes: svn path=/head/; revision=532544
* Update to 3.0.0Sunpoet Po-Chuan Hsieh2020-04-212-6/+5
| | | | | | | Changes: https://github.com/CMA-ES/pycma/releases Notes: svn path=/head/; revision=532345
* Use PYNUMPYSunpoet Po-Chuan Hsieh2019-08-031-1/+1
| | | | Notes: svn path=/head/; revision=508005
* Bump PORTREVISION for ports depending on the canonical version of GCCGerald Pfeifer2019-07-261-0/+1
| | | | | | | | | | | | | | | | | | as defined in Mk/bsd.default-versions.mk which has moved from GCC 8.3 to GCC 9.1 under most circumstances now after revision 507371. This includes ports - with USE_GCC=yes or USE_GCC=any, - with USES=fortran, - using Mk/bsd.octave.mk which in turn features USES=fortran, and - with USES=compiler specifying openmp, nestedfct, c11, c++0x, c++11-lang, c++11-lib, c++14-lang, c++17-lang, or gcc-c++11-lib plus, everything INDEX-11 shows with a dependency on lang/gcc9 now. PR: 238330 Notes: svn path=/head/; revision=507372
* Update to 2.7.0Sunpoet Po-Chuan Hsieh2019-04-272-4/+4
| | | | | | | Changes: https://github.com/CMA-ES/pycma/releases Notes: svn path=/head/; revision=500233
* Add py-cma 2.6.0Sunpoet Po-Chuan Hsieh2019-01-173-0/+35
pycma is a Python implementation of CMA-ES and a few related numerical optimization tools. The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a stochastic derivative-free numerical optimization algorithm for difficult (non-convex, ill-conditioned, multi-modal, rugged, noisy) optimization problems in continuous search spaces. WWW: https://github.com/CMA-ES/pycma Notes: svn path=/head/; revision=490585
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