[pkgsrc/trunk]: pkgsrc/math/py-numpy py-numpy: updated to 1.15.1

[adam <adam%pkgsrc.org@localhost>]

details:   https://anonhg.NetBSD.org/pkgsrc/rev/0902dd09b097
branches:  trunk
changeset: 384509:0902dd09b097
user:      adam <adam%pkgsrc.org@localhost>
date:      Mon Aug 27 06:04:35 2018 +0000

description:
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:

 math/py-numpy/ALTERNATIVES |   2 --
 math/py-numpy/Makefile     |   8 +++-----
 math/py-numpy/PLIST        |   5 +----
 math/py-numpy/distinfo     |  10 +++++-----
 4 files changed, 9 insertions(+), 16 deletions(-)

diffs (64 lines):

diff -r 8a3c0fe60bf9 -r 0902dd09b097 math/py-numpy/ALTERNATIVES
--- a/math/py-numpy/ALTERNATIVES        Sun Aug 26 22:36:48 2018 +0000
+++ b/math/py-numpy/ALTERNATIVES        Mon Aug 27 06:04:35 2018 +0000
@@ -1,3 +1,1 @@
-bin/conv-template @PREFIX@/bin/conv-template${PYVERSSUFFIX}
 bin/f2py @PREFIX@/bin/f2py@PYVERSSUFFIX@
-bin/from-template @PREFIX@/bin/from-template${PYVERSSUFFIX}
diff -r 8a3c0fe60bf9 -r 0902dd09b097 math/py-numpy/Makefile
--- a/math/py-numpy/Makefile    Sun Aug 26 22:36:48 2018 +0000
+++ b/math/py-numpy/Makefile    Mon Aug 27 06:04:35 2018 +0000
@@ -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 @@
 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 -r 8a3c0fe60bf9 -r 0902dd09b097 math/py-numpy/PLIST
--- a/math/py-numpy/PLIST       Sun Aug 26 22:36:48 2018 +0000
+++ b/math/py-numpy/PLIST       Mon Aug 27 06:04:35 2018 +0000
@@ -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
 ${PYSITELIB}/numpy/LICENSE.txt
diff -r 8a3c0fe60bf9 -r 0902dd09b097 math/py-numpy/distinfo
--- a/math/py-numpy/distinfo    Sun Aug 26 22:36:48 2018 +0000
+++ b/math/py-numpy/distinfo    Mon Aug 27 06:04:35 2018 +0000
@@ -1,9 +1,9 @@
-$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