math/py-pysparse: add new port

PR:		210595
Submitted by:	yuri@rawbw.com

PySparse extends the Python interpreter by a set of sparse matrix
types holding double precision values. PySparse also includes modules
that implement:

- iterative methods for solving linear systems of equations
- a set of standard preconditioners
- an interface to a direct solver for sparse linear systems of
  equations (SuperLU)
- a Jacobi-Davidson eigenvalue solver for the symmetric, generalised
  matrix eigenvalue problem (JDSYM)

https://github.com/PythonOptimizers/pysparse

5 files changed, 67 insertions, 0 deletions

diff --git a/math/Makefile b/math/Makefile
index ba17796c97d3..14fc753fe2e1 100644
--- a/math/Makefile
+++ b/math/Makefile
@@ -620,6 +620,7 @@
     SUBDIR += py-pyfst
     SUBDIR += py-pyhull
     SUBDIR += py-pymc
+    SUBDIR += py-pysparse
     SUBDIR += py-pyvtk
     SUBDIR += py-roman
     SUBDIR += py-scientific
diff --git a/math/py-pysparse/Makefile b/math/py-pysparse/Makefile
new file mode 100644
index 000000000000..c2e3490ff34d
--- /dev/null
+++ b/math/py-pysparse/Makefile
@@ -0,0 +1,32 @@
+# Created by: Yuri Victorovich <yuri@rawbw.com>
+# $FreeBSD$
+
+PORTNAME=	pysparse
+PORTVERSION=	1.3
+CATEGORIES=	math python
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+DISTNAME=	${PORTNAME}-${PORTVERSION}-dev
+
+MAINTAINER=	yuri@rawbw.com
+COMMENT=	Fast sparse matrix library for Python
+
+LICENSE=	BSD3CLAUSE
+LICENSE_FILE=	${WRKSRC}/LICENSE
+
+BUILD_DEPENDS=	${PYTHON_PKGNAMEPREFIX}numpy>=1.2:math/py-numpy
+RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}numpy>=1.2:math/py-numpy
+LIB_DEPENDS=	liblapack.so:math/lapack \
+		libblas.so:math/blas \
+		libopenblas.so:math/openblas \
+		libcblas.so:math/cblas
+
+USE_GITHUB=	yes
+GH_ACCOUNT=	PythonOptimizers
+GH_TAGNAME=	f8430bd
+
+LDFLAGS+=	-shared  # Workaround for an obscure bug in py-numpy, see https://github.com/numpy/numpy/issues/7779
+
+USES=		fortran python # fortran is needed for the correct build flags passed to py-numpy extension build process
+USE_PYTHON=	distutils autoplist
+
+.include <bsd.port.mk>
diff --git a/math/py-pysparse/distinfo b/math/py-pysparse/distinfo
new file mode 100644
index 000000000000..c8aa1b6b5ff9
--- /dev/null
+++ b/math/py-pysparse/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1466932869
+SHA256 (pysparse-1.3-dev_GH0.tar.gz) = 4c4ad1e02a97ea257365331f677205c76e572d22eafbe818f39c4eb462987848
+SIZE (pysparse-1.3-dev_GH0.tar.gz) = 1301990
diff --git a/math/py-pysparse/files/patch-setup.py b/math/py-pysparse/files/patch-setup.py
new file mode 100644
index 000000000000..e81541a29f02
--- /dev/null
+++ b/math/py-pysparse/files/patch-setup.py
@@ -0,0 +1,19 @@
+--- setup.py.orig	2016-06-10 21:29:48 UTC
++++ setup.py
+@@ -109,7 +109,7 @@ def get_version():
+     version = '1.3'
+     release = False
+     if not release:
+-        version += '-dev' + svn_version()
++        version += '-dev'
+     return version
+ 
+ def write_version_py(filename=os.path.join('pysparse', 'version.py')):
+@@ -142,7 +142,6 @@ def setup_package():
+             author_email = "{hamsel,d-orban,wd15}@sf.net,",
+             maintainer = "PySparse Developers",
+             maintainer_email = "{hamsel,d-orban,wd15}@sf.net,",
+-            summary = "Fast sparse matrix library for Python",
+             description = "Fast sparse matrix library for Python",
+             long_description = "\n".join(DOCLINES[2:]),
+             url = "pysparse.sf.net",
diff --git a/math/py-pysparse/pkg-descr b/math/py-pysparse/pkg-descr
new file mode 100644
index 000000000000..fa2ca1aa38eb
--- /dev/null
+++ b/math/py-pysparse/pkg-descr
@@ -0,0 +1,12 @@
+PySparse extends the Python interpreter by a set of sparse matrix
+types holding double precision values. PySparse also includes modules
+that implement:
+
+- iterative methods for solving linear systems of equations
+- a set of standard preconditioners
+- an interface to a direct solver for sparse linear systems of
+  equations (SuperLU)
+- a Jacobi-Davidson eigenvalue solver for the symmetric, generalised
+  matrix eigenvalue problem (JDSYM)
+
+WWW: https://github.com/PythonOptimizers/pysparse