CVS commit: pkgsrc/math/py-numpy

["Adam Ciarcinski" <adam%netbsd.org@localhost>]

Module Name:    pkgsrc
Committed By:   adam
Date:           Mon Aug 27 06:04:35 UTC 2018

Modified Files:
        pkgsrc/math/py-numpy: ALTERNATIVES Makefile PLIST distinfo

Log Message:
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.


To generate a diff of this commit:
cvs rdiff -u -r1.1 -r1.2 pkgsrc/math/py-numpy/ALTERNATIVES
cvs rdiff -u -r1.52 -r1.53 pkgsrc/math/py-numpy/Makefile
cvs rdiff -u -r1.22 -r1.23 pkgsrc/math/py-numpy/PLIST
cvs rdiff -u -r1.34 -r1.35 pkgsrc/math/py-numpy/distinfo

Please note that diffs are not public domain; they are subject to the
copyright notices on the relevant files.

Modified files:

Index: pkgsrc/math/py-numpy/ALTERNATIVES
diff -u pkgsrc/math/py-numpy/ALTERNATIVES:1.1 pkgsrc/math/py-numpy/ALTERNATIVES:1.2
--- pkgsrc/math/py-numpy/ALTERNATIVES:1.1       Fri Aug 10 08:59:08 2018
+++ pkgsrc/math/py-numpy/ALTERNATIVES   Mon Aug 27 06:04:35 2018
@@ -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}

Index: pkgsrc/math/py-numpy/Makefile
diff -u pkgsrc/math/py-numpy/Makefile:1.52 pkgsrc/math/py-numpy/Makefile:1.53
--- pkgsrc/math/py-numpy/Makefile:1.52  Fri Aug 10 08:59:08 2018
+++ pkgsrc/math/py-numpy/Makefile       Mon Aug 27 06:04:35 2018
@@ -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()"

Index: pkgsrc/math/py-numpy/PLIST
diff -u pkgsrc/math/py-numpy/PLIST:1.22 pkgsrc/math/py-numpy/PLIST:1.23
--- pkgsrc/math/py-numpy/PLIST:1.22     Fri Aug 10 08:59:08 2018
+++ pkgsrc/math/py-numpy/PLIST  Mon Aug 27 06:04:35 2018
@@ -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

Index: pkgsrc/math/py-numpy/distinfo
diff -u pkgsrc/math/py-numpy/distinfo:1.34 pkgsrc/math/py-numpy/distinfo:1.35
--- pkgsrc/math/py-numpy/distinfo:1.34  Fri Aug 10 08:59:08 2018
+++ pkgsrc/math/py-numpy/distinfo       Mon Aug 27 06:04:35 2018
@@ -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