# This is a shell archive.  Save it in a file, remove anything before
# this line, and then unpack it by entering "sh file".  Note, it may
# create directories; files and directories will be owned by you and
# have default permissions.
#
# This archive contains:
#
#	math/py-pysparse
#	math/py-pysparse/Makefile
#	math/py-pysparse/distinfo
#	math/py-pysparse/pkg-descr
#	math/py-pysparse/files
#	math/py-pysparse/files/patch-setup.py
#
echo c - math/py-pysparse
mkdir -p math/py-pysparse > /dev/null 2>&1
echo x - math/py-pysparse/Makefile
sed 's/^X//' >math/py-pysparse/Makefile << '96c6057b80334dc3b8e6402ce822aeb3'
X# Created by: Yuri Victorovich <yuri@rawbw.com>
X# $FreeBSD$
X
XPORTNAME=	pysparse
XPORTVERSION=	1.3
XCATEGORIES=	math python
XPKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
XDISTNAME=	${PORTNAME}-${PORTVERSION}-dev
X
XMAINTAINER=	yuri@rawbw.com
XCOMMENT=	Fast sparse matrix library for Python
X
XLICENSE=	BSD3CLAUSE
XLICENSE_FILE=	${WRKSRC}/LICENSE
X
XBUILD_DEPENDS=	${PYTHON_PKGNAMEPREFIX}numpy>=1.2:math/py-numpy
XRUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}numpy>=1.2:math/py-numpy
XLIB_DEPENDS=	liblapack.so:math/lapack \
X		libblas.so:math/blas \
X		libopenblas.so:math/openblas \
X		libcblas.so:math/cblas
X
XUSE_GITHUB=	yes
XGH_ACCOUNT=	PythonOptimizers
XGH_PROJECT=	pysparse
XGH_TAGNAME=	f8430bd
X
XLDFLAGS+=	-shared  # Workaround for an obscure bug in py-numpy, see https://github.com/numpy/numpy/issues/7779
X
XUSES=		fortran python # fortran is needed for the correct build flags passed to py-numpy extension build process
XUSE_PYTHON=	distutils autoplist
X
X.include <bsd.port.mk>
96c6057b80334dc3b8e6402ce822aeb3
echo x - math/py-pysparse/distinfo
sed 's/^X//' >math/py-pysparse/distinfo << '5b9cea1a9536c10c6d10e487d1094752'
XTIMESTAMP = 1466932869
XSHA256 (pysparse-1.3-dev_GH0.tar.gz) = 4c4ad1e02a97ea257365331f677205c76e572d22eafbe818f39c4eb462987848
XSIZE (pysparse-1.3-dev_GH0.tar.gz) = 1301990
5b9cea1a9536c10c6d10e487d1094752
echo x - math/py-pysparse/pkg-descr
sed 's/^X//' >math/py-pysparse/pkg-descr << 'e46ea051f6cfb1b7282136ddd7eca9ab'
XPySparse extends the Python interpreter by a set of sparse matrix
Xtypes holding double precision values. PySparse also includes modules
Xthat implement:
X
X- iterative methods for solving linear systems of equations
X- a set of standard preconditioners
X- an interface to a direct solver for sparse linear systems of
X  equations (SuperLU)
X- a Jacobi-Davidson eigenvalue solver for the symmetric, generalised
X  matrix eigenvalue problem (JDSYM)
X
XWWW: https://github.com/PythonOptimizers/pysparse
e46ea051f6cfb1b7282136ddd7eca9ab
echo c - math/py-pysparse/files
mkdir -p math/py-pysparse/files > /dev/null 2>&1
echo x - math/py-pysparse/files/patch-setup.py
sed 's/^X//' >math/py-pysparse/files/patch-setup.py << '3dbd93068a5008a3e635ea15b3ed012d'
X--- setup.py.orig	2016-06-10 21:29:48 UTC
X+++ setup.py
X@@ -109,7 +109,7 @@ def get_version():
X     version = '1.3'
X     release = False
X     if not release:
X-        version += '-dev' + svn_version()
X+        version += '-dev'
X     return version
X 
X def write_version_py(filename=os.path.join('pysparse', 'version.py')):
X@@ -142,7 +142,6 @@ def setup_package():
X             author_email = "{hamsel,d-orban,wd15}@sf.net,",
X             maintainer = "PySparse Developers",
X             maintainer_email = "{hamsel,d-orban,wd15}@sf.net,",
X-            summary = "Fast sparse matrix library for Python",
X             description = "Fast sparse matrix library for Python",
X             long_description = "\n".join(DOCLINES[2:]),
X             url = "pysparse.sf.net",
3dbd93068a5008a3e635ea15b3ed012d
exit