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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
33 lines
925 B
Makefile
33 lines
925 B
Makefile
# Created by: Yuri Victorovich <yuri@rawbw.com>
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# $FreeBSD$
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PORTNAME= pysparse
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PORTVERSION= 1.3
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CATEGORIES= math python
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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DISTNAME= ${PORTNAME}-${PORTVERSION}-dev
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MAINTAINER= yuri@rawbw.com
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COMMENT= Fast sparse matrix library for Python
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LICENSE= BSD3CLAUSE
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=1.2:math/py-numpy
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=1.2:math/py-numpy
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LIB_DEPENDS= liblapack.so:math/lapack \
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libblas.so:math/blas \
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libopenblas.so:math/openblas \
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libcblas.so:math/cblas
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USE_GITHUB= yes
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GH_ACCOUNT= PythonOptimizers
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GH_TAGNAME= f8430bd
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LDFLAGS+= -shared # Workaround for an obscure bug in py-numpy, see https://github.com/numpy/numpy/issues/7779
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USES= fortran python # fortran is needed for the correct build flags passed to py-numpy extension build process
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USE_PYTHON= distutils autoplist
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.include <bsd.port.mk>
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