New port: math/py-chaospy: Toolbox for performing uncertainty quantification

svn path=/head/; revision=479090

math/Makefile

@@ -669,6 +669,7 @@
     SUBDIR += py-bitvector
     SUBDIR += py-bottleneck
     SUBDIR += py-cdecimal
+    SUBDIR += py-chaospy
     SUBDIR += py-colormath
     SUBDIR += py-cryptominisat
     SUBDIR += py-cvxopt

math/py-chaospy/Makefile

@@ -0,0 +1,22 @@
+# $FreeBSD$
+
+PORTNAME=	chaospy
+PORTVERSION=	2.3.3
+CATEGORIES=	math python
+MASTER_SITES=	CHEESESHOP
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	yuri@FreeBSD.org
+COMMENT=	Toolbox for performing uncertainty quantification
+
+LICENSE=	MIT
+
+BUILD_DEPENDS=	${PYNUMPY} \
+		${PYTHON_PKGNAMEPREFIX}networkx>0:math/py-networkx@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy@${PY_FLAVOR}
+
+USES=		python
+USE_PYTHON=	distutils autoplist
+NO_ARCH=	yes
+
+.include <bsd.port.mk>

math/py-chaospy/distinfo

@@ -0,0 +1,3 @@
+TIMESTAMP = 1536217585
+SHA256 (chaospy-2.3.3.tar.gz) = c1fd674d4d8a6cd503727fd5e38ac81a89e5327ebbb5bfc5b32118395e2ac578
+SIZE (chaospy-2.3.3.tar.gz) = 120532

math/py-chaospy/pkg-descr

@@ -0,0 +1,10 @@
+Chaospy is a numerical tool for performing uncertainty quantification using
+polynomial chaos expansions and advanced Monte Carlo methods implemented in
+Python 2 and 3.
+
+A article in Elsevier Journal of Computational Science has been published
+introducing the software: DOI:10.1016/j.jocs.2015.08.008.
+If you are to use this software in work that is published, please cite this
+paper.
+
+WWW: https://github.com/jonathf/chaospy