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[pkgsrc/trunk]: pkgsrc/math/py-numpy py-numpy: updated to 1.18.4



details:   https://anonhg.NetBSD.org/pkgsrc/rev/717ad582babc
branches:  trunk
changeset: 430779:717ad582babc
user:      adam <adam%pkgsrc.org@localhost>
date:      Mon May 04 06:18:55 2020 +0000

description:
py-numpy: updated to 1.18.4

1.18.4:
BLD: add i686 for 1.18 builds
BUG: random: ``Generator.integers(2**32)`` always returned 0.
BLD: fix path to libgfortran on macOS
REV: Reverts side-effect changes to casting
BLD: put openblas library in local directory on windows
DOC: Change import error "howto" to link to new troubleshooting...

diffstat:

 math/py-numpy/Makefile |   8 +++-----
 math/py-numpy/distinfo |  10 +++++-----
 2 files changed, 8 insertions(+), 10 deletions(-)

diffs (41 lines):

diff -r ee5680d39b17 -r 717ad582babc math/py-numpy/Makefile
--- a/math/py-numpy/Makefile    Mon May 04 06:18:05 2020 +0000
+++ b/math/py-numpy/Makefile    Mon May 04 06:18:55 2020 +0000
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.64 2020/04/27 17:00:35 adam Exp $
+# $NetBSD: Makefile,v 1.65 2020/05/04 06:18:55 adam Exp $
 
-DISTNAME=      numpy-1.18.3
+DISTNAME=      numpy-1.18.4
 PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=    math python
 MASTER_SITES=  ${MASTER_SITE_PYPI:=n/numpy/}
@@ -24,9 +24,7 @@
 # XXX Avoid picking up other compilers when installed
 .include "../../mk/compiler.mk"
 
-.if defined(PKGSRC_FORTRAN) && ${PKGSRC_FORTRAN} == "g95"
-PYSETUPBUILDARGS+=     --fcompiler=g95
-.elif defined(PKGSRC_FORTRAN) && ${PKGSRC_FORTRAN} == "gfortran"
+.if defined(PKGSRC_FORTRAN) && ${PKGSRC_FORTRAN} == "gfortran"
 PYSETUPBUILDARGS+=     --fcompiler=gnu95
 .elif !empty(PKGSRC_COMPILER:Mgcc)
 PYSETUPBUILDARGS+=     --fcompiler=gnu
diff -r ee5680d39b17 -r 717ad582babc math/py-numpy/distinfo
--- a/math/py-numpy/distinfo    Mon May 04 06:18:05 2020 +0000
+++ b/math/py-numpy/distinfo    Mon May 04 06:18:55 2020 +0000
@@ -1,9 +1,9 @@
-$NetBSD: distinfo,v 1.49 2020/04/27 19:38:23 adam Exp $
+$NetBSD: distinfo,v 1.50 2020/05/04 06:18:55 adam Exp $
 
-SHA1 (numpy-1.18.3.zip) = 8a149a93c00eca3fa0a66985bf8f7ee9549e216f
-RMD160 (numpy-1.18.3.zip) = 87df6a185a7f0214ce7f209662cf215ac8f534ae
-SHA512 (numpy-1.18.3.zip) = afb14dec81ade556e10b7de372e9d7b01b4bf246609c5eea26ad76ce93e6d9caa95479ae70dbfb725f28ac4802f94203c92e1e991852d2866b5225fc9d68e68d
-Size (numpy-1.18.3.zip) = 5435268 bytes
+SHA1 (numpy-1.18.4.zip) = 413dcf0aca1e40dda2b77750a4db426089f07ba1
+RMD160 (numpy-1.18.4.zip) = 1e17a05ec3059e425cc58275d66274930dcb6a7f
+SHA512 (numpy-1.18.4.zip) = ec16fa6f5a52e62aeae482290776229d55cc2528fdfabd69a4c48e33991ee901dc345cdafd132baabded0bc4f11a41dcfc4fb737e24cb9b3b8a938a8769e0f01
+Size (numpy-1.18.4.zip) = 5440468 bytes
 SHA1 (patch-numpy_distutils_fcompiler_____init____.py) = 49d070da5b48bd9818b37ac3254341fa68503c53
 SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed
 SHA1 (patch-numpy_distutils_fcompiler_gnu.py) = d8e48b30799f08cec219fe501f6de8326c899822



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