2016-07-09 19:11:52 +02:00
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# 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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Bump PORTREVISIONs for ports depending on the canonical version of GCC and
lang/gcc which have moved from GCC 4.9.4 to GCC 5.4 (at least under some
circumstances such as versions of FreeBSD or platforms).
This includes ports
- with USE_GCC=yes or USE_GCC=any,
- with USES=fortran,
- using using Mk/bsd.octave.mk which in turn has USES=fortran, and
- with USES=compiler specifying openmp, nestedfct, c++11-lib, c++14-lang,
c++11-lang, c++0x, c11, or gcc-c++11-lib.
PR: 216707
2017-04-01 17:23:30 +02:00
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PORTREVISION= 2
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2016-07-09 19:11:52 +02:00
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CATEGORIES= math python
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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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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2016-10-28 19:13:24 +02:00
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=1.2,1:math/py-numpy
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=1.2,1:math/py-numpy
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2016-07-09 19:11:52 +02:00
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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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