[pkgsrc/trunk]: pkgsrc/math/py-numpy py-numpy: updated to 1.21.5

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

details:   https://anonhg.NetBSD.org/pkgsrc/rev/512339b6c63d
branches:  trunk
changeset: 771629:512339b6c63d
user:      adam <adam%pkgsrc.org@localhost>
date:      Mon Dec 20 11:27:57 2021 +0000

description:
py-numpy: updated to 1.21.5

1.21.5:
BUG: Fix shadowed reference of `dtype` in type stub
BUG: Fix headers for universal2 builds
BUG: ``VOID_nonzero`` could sometimes mutate alignment flag
BUG: Do not use nonzero fastpath on unaligned arrays
BUG: Distutils patch to allow for 2 as a minor version (!)
BUG, SIMD: Fix 64-bit/8-bit integer division by a scalar
BUG, SIMD: Workaround broadcasting SIMD 64-bit integers on MSVC...
REL: Prepare for the NumPy 1.21.4 release.
TST: Fix a `Arrayterator` typing test failure

diffstat:

 math/py-numpy/Makefile |  6 +++---
 math/py-numpy/distinfo |  8 ++++----
 2 files changed, 7 insertions(+), 7 deletions(-)

diffs (37 lines):

diff -r ad988d75b990 -r 512339b6c63d math/py-numpy/Makefile
--- a/math/py-numpy/Makefile    Mon Dec 20 11:26:33 2021 +0000
+++ b/math/py-numpy/Makefile    Mon Dec 20 11:27:57 2021 +0000
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.85 2021/11/06 11:52:37 adam Exp $
+# $NetBSD: Makefile,v 1.86 2021/12/20 11:27:57 adam Exp $
 
-DISTNAME=      numpy-1.21.4
+DISTNAME=      numpy-1.21.5
 PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=    math python
 MASTER_SITES=  ${MASTER_SITE_PYPI:=n/numpy/}
@@ -16,7 +16,7 @@
 TEST_DEPENDS+= ${PYPKGPREFIX}-test-[0-9]*:../../devel/py-test
 
 # error: 'for' loop initial declarations are only allowed in C99 mode
-USE_LANGUAGES=         c99 fortran
+USE_LANGUAGES=         c99 c++ fortran
 
 .include "../../math/py-numpy/Makefile.make_env"
 
diff -r ad988d75b990 -r 512339b6c63d math/py-numpy/distinfo
--- a/math/py-numpy/distinfo    Mon Dec 20 11:26:33 2021 +0000
+++ b/math/py-numpy/distinfo    Mon Dec 20 11:27:57 2021 +0000
@@ -1,8 +1,8 @@
-$NetBSD: distinfo,v 1.67 2021/11/06 11:52:37 adam Exp $
+$NetBSD: distinfo,v 1.68 2021/12/20 11:27:57 adam Exp $
 
-BLAKE2s (numpy-1.21.4.zip) = 6dc7ecda95afcd72cfcd9345882cf25c55c4a5936fd7db1d705be0e1cfa3e612
-SHA512 (numpy-1.21.4.zip) = 85575a009bf40a8e5acaaa949d2669545968825df34273e367c42af36fa882ebb0830ff7953b5617d34d3061b3877238524937c42470fac9464479dc33ae60ce
-Size (numpy-1.21.4.zip) = 10646392 bytes
+BLAKE2s (numpy-1.21.5.zip) = 127af319f17469dc300b21e069e881fa006c73c48e79e7d48a8810140e9d3f0c
+SHA512 (numpy-1.21.5.zip) = 03affa9d0bbf42a8d35f5454f1527df28539e306dc2b313fa775625201a5fe9eb7376f443bba5d50e08567546708811beb7201819eeb2af5a0653b7d91249f78
+Size (numpy-1.21.5.zip) = 10652289 bytes
 SHA1 (patch-numpy_core_setup.py) = 70db6193da36d31a085036e2b61b154e990f70de
 SHA1 (patch-numpy_distutils_fcompiler_____init____.py) = 49d070da5b48bd9818b37ac3254341fa68503c53
 SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed