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author | adam <adam@pkgsrc.org> | 2018-08-27 06:04:35 +0000 |
---|---|---|
committer | adam <adam@pkgsrc.org> | 2018-08-27 06:04:35 +0000 |
commit | 747206bd258b5c43f8356eda35451cc3c664e4f0 (patch) | |
tree | 35a62c13e7b9a2aa197d2084e38a4cb014844255 /math | |
parent | ce0c98e72a24d17b4176a7ce1ef47f4794c56937 (diff) | |
download | pkgsrc-747206bd258b5c43f8356eda35451cc3c664e4f0.tar.gz |
py-numpy: updated to 1.15.1
NumPy 1.15.1:
This is a bugfix release for bugs and regressions reported following the 1.15.0
release.
* The annoying but harmless RuntimeWarning that "numpy.dtype size changed" has
been suppressed. The long standing suppression was lost in the transition to
pytest.
* The update to Cython 0.28.3 exposed a problematic use of a gcc attribute used
to prefer code size over speed in module initialization, possibly resulting in
incorrect compiled code. This has been fixed in latest Cython but has been
disabled here for safety.
* Support for big-endian and ARMv8 architectures has been improved.
The Python versions supported by this release are 2.7, 3.4-3.7. The wheels are
linked with OpenBLAS v0.3.0, which should fix some of the linalg problems
reported for NumPy 1.14.
Diffstat (limited to 'math')
-rw-r--r-- | math/py-numpy/ALTERNATIVES | 2 | ||||
-rw-r--r-- | math/py-numpy/Makefile | 8 | ||||
-rw-r--r-- | math/py-numpy/PLIST | 5 | ||||
-rw-r--r-- | math/py-numpy/distinfo | 10 |
4 files changed, 9 insertions, 16 deletions
diff --git a/math/py-numpy/ALTERNATIVES b/math/py-numpy/ALTERNATIVES index a1a470e1f67..91f460b99b3 100644 --- a/math/py-numpy/ALTERNATIVES +++ b/math/py-numpy/ALTERNATIVES @@ -1,3 +1 @@ -bin/conv-template @PREFIX@/bin/conv-template${PYVERSSUFFIX} bin/f2py @PREFIX@/bin/f2py@PYVERSSUFFIX@ -bin/from-template @PREFIX@/bin/from-template${PYVERSSUFFIX} diff --git a/math/py-numpy/Makefile b/math/py-numpy/Makefile index 33e79b37780..079cf02c066 100644 --- a/math/py-numpy/Makefile +++ b/math/py-numpy/Makefile @@ -1,6 +1,6 @@ -# $NetBSD: Makefile,v 1.52 2018/08/10 08:59:08 adam Exp $ +# $NetBSD: Makefile,v 1.53 2018/08/27 06:04:35 adam Exp $ -DISTNAME= numpy-1.15.0 +DISTNAME= numpy-1.15.1 PKGNAME= ${PYPKGPREFIX}-${DISTNAME} CATEGORIES= math python MASTER_SITES= ${MASTER_SITE_PYPI:=n/numpy/} @@ -42,9 +42,7 @@ LDFLAGS+= ${_COMPILER_ABI_FLAG.${ABI}} MAKE_ENV.DragonFly+= LDVER=ld.bfd post-install: - cd ${DESTDIR}${PREFIX}/bin && ${RM} f2py && \ - ${MV} conv-template conv-template${PYVERSSUFFIX} && \ - ${MV} from-template from-template${PYVERSSUFFIX} || ${TRUE} + cd ${DESTDIR}${PREFIX}/bin && ${RM} f2py || ${TRUE} do-test: ${RUN} PYTHONPATH=${DESTDIR}${PREFIX}/${PYSITELIB} ${PYTHONBIN} -c "import numpy; numpy.test()" diff --git a/math/py-numpy/PLIST b/math/py-numpy/PLIST index 377808344fe..90a48bbc65d 100644 --- a/math/py-numpy/PLIST +++ b/math/py-numpy/PLIST @@ -1,11 +1,8 @@ -@comment $NetBSD: PLIST,v 1.22 2018/08/10 08:59:08 adam Exp $ -bin/conv-template${PYVERSSUFFIX} +@comment $NetBSD: PLIST,v 1.23 2018/08/27 06:04:35 adam Exp $ bin/f2py${PYVERSSUFFIX} -bin/from-template${PYVERSSUFFIX} ${PYSITELIB}/${EGG_INFODIR}/PKG-INFO ${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt ${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt -${PYSITELIB}/${EGG_INFODIR}/entry_points.txt ${PYSITELIB}/${EGG_INFODIR}/not-zip-safe ${PYSITELIB}/${EGG_INFODIR}/top_level.txt ${PYSITELIB}/numpy/LICENSE.txt diff --git a/math/py-numpy/distinfo b/math/py-numpy/distinfo index 725465fbc28..97ad016fa65 100644 --- a/math/py-numpy/distinfo +++ b/math/py-numpy/distinfo @@ -1,9 +1,9 @@ -$NetBSD: distinfo,v 1.34 2018/08/10 08:59:08 adam Exp $ +$NetBSD: distinfo,v 1.35 2018/08/27 06:04:35 adam Exp $ -SHA1 (numpy-1.15.0.zip) = dfd54a7d3628a3101a5dbc20c877d55c63caf6e8 -RMD160 (numpy-1.15.0.zip) = c8e739257a4ee42f91b9d185ac954510e4d372c0 -SHA512 (numpy-1.15.0.zip) = 018e2535d1beb3fb643b5fd4dcc8e205d71103e954454065277243352c701f31dc8c54c415a7839ed016764414d1ab31264540b7968d01b58e6114170b442ebe -Size (numpy-1.15.0.zip) = 4477952 bytes +SHA1 (numpy-1.15.1.zip) = 2e7548d4972e5366dd8b30ca3639e243dae96af9 +RMD160 (numpy-1.15.1.zip) = 1eade7058bc7739f2994946e55390587680e3ef2 +SHA512 (numpy-1.15.1.zip) = 9f674fd5944f6a60a41f60c5cd79cc172c621fcf41fe5064f292bee94b16f28de339005d1f1535586d5d3caa6c0d3eb9bb78221d80327e4edec84936f857c59f +Size (numpy-1.15.1.zip) = 4482769 bytes SHA1 (patch-aa) = c964fa13fb120b1b0f9d0bf5bc713507cd60b945 SHA1 (patch-ab) = b421455fdbb666c8075d8bffbeb59533434d23e6 SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed |