svn commit: r496485 - in head/math: . py-nevergrad

[Sunpoet Po-Chuan Hsieh]

Author: sunpoet
Date: Thu Mar 21 19:40:05 2019
New Revision: 496485
URL: https://svnweb.freebsd.org/changeset/ports/496485

Log:
  Add py-nevergrad 0.1.6
  
  Nevergrad is a gradient-free optimization platform.
  
  The goals of this package are to provide:
  - gradient/derivative-free optimization algorithms, including algorithms able to
    handle noise.
  - tools to instrument any code, making it painless to optimize your
    parameters/hyperparameters, whether they are continuous, discrete or a mixture
    of continuous and discrete variables.
  - functions on which to test the optimization algorithms.
  - benchmark routines in order to compare algorithms easily.
  
  WWW: https://github.com/facebookresearch/nevergrad

Added:
  head/math/py-nevergrad/
  head/math/py-nevergrad/Makefile   (contents, props changed)
  head/math/py-nevergrad/distinfo   (contents, props changed)
  head/math/py-nevergrad/pkg-descr   (contents, props changed)
Modified:
  head/math/Makefile

Modified: head/math/Makefile
==============================================================================
--- head/math/Makefile	Thu Mar 21 19:18:16 2019	(r496484)
+++ head/math/Makefile	Thu Mar 21 19:40:05 2019	(r496485)
@@ -739,6 +739,7 @@
     SUBDIR += py-munkres10
     SUBDIR += py-networkx
     SUBDIR += py-networkx1
+    SUBDIR += py-nevergrad
     SUBDIR += py-numarray
     SUBDIR += py-numeric
     SUBDIR += py-numexpr

Added: head/math/py-nevergrad/Makefile
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/py-nevergrad/Makefile	Thu Mar 21 19:40:05 2019	(r496485)
@@ -0,0 +1,36 @@
+# Created by: Po-Chuan Hsieh <sunpoet at FreeBSD.org>
+# $FreeBSD$
+
+PORTNAME=	nevergrad
+PORTVERSION=	0.1.6
+CATEGORIES=	math python
+MASTER_SITES=	CHEESESHOP
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	sunpoet at FreeBSD.org
+COMMENT=	Python toolbox for performing gradient-free optimization
+
+LICENSE=	MIT
+LICENSE_FILE=	${WRKSRC}/LICENSE
+
+RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}bayesian-optimization>=0.6.0:math/py-bayesian-optimization@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}cma>=2.6.0:math/py-cma@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}matplotlib>=2.2.3:math/py-matplotlib@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}numpy>=1.15.0:math/py-numpy@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}pandas>=0.23.4:math/py-pandas@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}requests>=2.21.0:www/py-requests@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}xlrd>=1.2.0:textproc/py-xlrd@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}xlwt>=1.3.0:textproc/py-xlwt@${PY_FLAVOR}
+
+USES=		python:3.6+
+USE_PYTHON=	autoplist distutils
+
+NO_ARCH=	yes
+
+.include <bsd.port.pre.mk>
+
+.if ${PYTHON_REL} < 3700
+RUN_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}typing-extensions>=3.6.6:devel/py-typing-extensions@${PY_FLAVOR}
+.endif
+
+.include <bsd.port.post.mk>

Added: head/math/py-nevergrad/distinfo
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/py-nevergrad/distinfo	Thu Mar 21 19:40:05 2019	(r496485)
@@ -0,0 +1,3 @@
+TIMESTAMP = 1553188278
+SHA256 (nevergrad-0.1.6.tar.gz) = ffc900006535aa5590ed04f359d4a141e59ce3ec4245ef3740f9057daf8abb45
+SIZE (nevergrad-0.1.6.tar.gz) = 103150

Added: head/math/py-nevergrad/pkg-descr
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/py-nevergrad/pkg-descr	Thu Mar 21 19:40:05 2019	(r496485)
@@ -0,0 +1,12 @@
+Nevergrad is a gradient-free optimization platform.
+
+The goals of this package are to provide:
+- gradient/derivative-free optimization algorithms, including algorithms able to
+  handle noise.
+- tools to instrument any code, making it painless to optimize your
+  parameters/hyperparameters, whether they are continuous, discrete or a mixture
+  of continuous and discrete variables.
+- functions on which to test the optimization algorithms.
+- benchmark routines in order to compare algorithms easily.
+
+WWW: https://github.com/facebookresearch/nevergrad