Date: Thu, 17 Jan 2019 19:21:20 +0000 (UTC) From: Sunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org> To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r490585 - in head/math: . py-cma Message-ID: <201901171921.x0HJLKE2006848@repo.freebsd.org>
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Author: sunpoet Date: Thu Jan 17 19:21:19 2019 New Revision: 490585 URL: https://svnweb.freebsd.org/changeset/ports/490585 Log: Add py-cma 2.6.0 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 Added: head/math/py-cma/ head/math/py-cma/Makefile (contents, props changed) head/math/py-cma/distinfo (contents, props changed) head/math/py-cma/pkg-descr (contents, props changed) Modified: head/math/Makefile Modified: head/math/Makefile ============================================================================== --- head/math/Makefile Thu Jan 17 19:20:56 2019 (r490584) +++ head/math/Makefile Thu Jan 17 19:21:19 2019 (r490585) @@ -692,6 +692,7 @@ SUBDIR += py-bottleneck SUBDIR += py-cdecimal SUBDIR += py-chaospy + SUBDIR += py-cma SUBDIR += py-colormath SUBDIR += py-cryptominisat SUBDIR += py-cvxopt Added: head/math/py-cma/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-cma/Makefile Thu Jan 17 19:21:19 2019 (r490585) @@ -0,0 +1,23 @@ +# Created by: Po-Chuan Hsieh <sunpoet@FreeBSD.org> +# $FreeBSD$ + +PORTNAME= cma +PORTVERSION= 2.6.0 +CATEGORIES= math python +MASTER_SITES= CHEESESHOP +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= sunpoet@FreeBSD.org +COMMENT= CMA-ES for non-linear numerical optimization in Python + +LICENSE= BSD3CLAUSE +LICENSE_FILE= ${WRKSRC}/LICENSE + +RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=0:math/py-numpy@${PY_FLAVOR} + +USES= python +USE_PYTHON= autoplist concurrent distutils + +NO_ARCH= yes + +.include <bsd.port.mk> Added: head/math/py-cma/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-cma/distinfo Thu Jan 17 19:21:19 2019 (r490585) @@ -0,0 +1,3 @@ +TIMESTAMP = 1547723709 +SHA256 (cma-2.6.0.tar.gz) = ef9e21fd821485518341fe1b96be4d127f8b78e60aeb6a286d602dc98f25eab6 +SIZE (cma-2.6.0.tar.gz) = 213116 Added: head/math/py-cma/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-cma/pkg-descr Thu Jan 17 19:21:19 2019 (r490585) @@ -0,0 +1,9 @@ +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
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