IABSD.fr/ports/math/py-numpy/Makefile

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• Author : sthen
  Date : 2026-05-19 09:42:33
  Hash : cdb936f8
  Message : update to py3-numpy-2.4.6

• math/py-numpy/Makefile

• COMMENT=	fast array and numeric programming library for Python
  
  MODPY_DISTV=	2.4.6
  DISTNAME=	numpy-${MODPY_DISTV}
  PKGNAME=	py-${DISTNAME}
  
  CATEGORIES=	math devel
  
  HOMEPAGE=	https://numpy.org/
  
  # BSD
  PERMIT_PACKAGE=	Yes
  
  COMPILER=	base-clang ports-gcc
  
  WANTLIB += ${COMPILER_LIBCXX} ${MODPY_WANTLIB} ${MODFORTRAN_WANTLIB} blas
  WANTLIB += cblas lapack m
  
  DEBUG_PACKAGES=	${BUILD_PACKAGES}
  
  MODULES=	lang/python \
  		fortran
  MODPY_PYBUILD=	mesonpy
  MODPY_PI=	Yes
  
  BUILD_DEPENDS=	devel/gas \
  		lang/cython
  
  # detected at runtime in crackfortran.py; checked at the start of run
  # but not used until later. force the dep to ensure consistent results
  # and avoid dpb junking issues.
  RUN_DEPENDS=	textproc/py-charset-normalizer
  
  TEST_DEPENDS=	${FULLPKGNAME}:${FULLPKGPATH} \
  		devel/py-hypothesis \
  		devel/py-test \
  		devel/py-test-cov \
  		devel/py-typing-extensions \
  		devel/py-tz \
  		devel/py-wheel
  
  BUILD_DEPENDS+=	${MODFORTRAN_BUILD_DEPENDS}
  LIB_DEPENDS+=	${MODFORTRAN_LIB_DEPENDS} \
  		math/lapack
  
  # Cython up to 0.28.4 used the discouraged __attribute__((optimize("Os")))
  # which caused runtime breakage on at least macppc.
  # -- see: https://marc.info/?l=openbsd-ports&m=153312266209561&w=2
  #
  # Some related Cython issues:
  #   https://github.com/cython/cython/issues/2102
  #   https://github.com/cython/cython/issues/2235
  #   https://github.com/cython/cython/issues/2494
  #
  # Cython 0.28.5 and newer switched to __attribute__((cold)).
  # Leave this disabled on macppc unless someone retests on that
  # platform.
  #
  .if ${MACHINE_ARCH} == powerpc
  CFLAGS +=	-D CYTHON_SMALL_CODE=
  .endif
  
  pre-build:
  	cp -f ${WRKSRC}/numpy/distutils/site.cfg ${WRKSRC}/site.cfg
  	ln -sf ${LOCALBASE}/bin/gas ${WRKDIR}/bin/as
  
  # numpy has both compiled-in cpu optimizations ("baseline") used on all
  # code, and also runtime-selected optimizations ("dispatch") which use
  # runtime detection (however these are not used in all codepaths).
  # the lowest level of optimization supported by numpy is what it calls
  # X86_V2 (which requires at least SSE4.2 support; 2008+ for intel, 2011+
  # for amd), so disable that completely for baseline to allow running
  # on more machines.
  
  .if ${MACHINE_ARCH} == amd64
  MODPY_PYBUILD_ARGS += -Csetup-args=-Dcpu-baseline="none"
  .endif
  
  .if ${MACHINE_ARCH} == i386
  # https://github.com/numpy/numpy/issues/20799
  # any optimisations are causing segfaults in regression tests on i386
  MODPY_PYBUILD_ARGS += -Csetup-args=-Dcpu-baseline="none"
  MODPY_PYBUILD_ARGS += -Csetup-args=-Dcpu-dispatch="none"
  .endif
  
  do-test:
  	cd ${WRKDIR} && ${MAKE_ENV} ${MODPY_BIN} -c \
  	    'import numpy ; numpy.test(verbose=2)'
  
  .include <bsd.port.mk>