[pkgsrc/trunk]: pkgsrc/math/py-numpy py-numpy: updated to 1.21.4

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

details:   https://anonhg.NetBSD.org/pkgsrc/rev/e68ed495f903
branches:  trunk
changeset: 769009:e68ed495f903
user:      adam <adam%pkgsrc.org@localhost>
date:      Sat Nov 06 11:52:37 2021 +0000

description:
py-numpy: updated to 1.21.4

The NumPy 1.21.4 is a maintenance release that fixes a few bugs
discovered after 1.21.3. The most important fix here is a fix for the
NumPy header files to make them work for both x86_64 and M1 hardware
when included in the Mac universal2 wheels. Previously, the header files
only worked for M1 and this caused problems for folks building x86_64
extensions. This problem was not seen before Python 3.10 because there
were thin wheels for x86_64 that had precedence. This release also
provides thin x86_64 Mac wheels for Python 3.10.

diffstat:

 math/py-numpy/Makefile |  4 ++--
 math/py-numpy/distinfo |  8 ++++----
 2 files changed, 6 insertions(+), 6 deletions(-)

diffs (28 lines):

diff -r aa5bedd37c84 -r e68ed495f903 math/py-numpy/Makefile
--- a/math/py-numpy/Makefile    Sat Nov 06 11:51:48 2021 +0000
+++ b/math/py-numpy/Makefile    Sat Nov 06 11:52:37 2021 +0000
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.84 2021/11/02 18:48:28 adam Exp $
+# $NetBSD: Makefile,v 1.85 2021/11/06 11:52:37 adam Exp $
 
-DISTNAME=      numpy-1.21.3
+DISTNAME=      numpy-1.21.4
 PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=    math python
 MASTER_SITES=  ${MASTER_SITE_PYPI:=n/numpy/}
diff -r aa5bedd37c84 -r e68ed495f903 math/py-numpy/distinfo
--- a/math/py-numpy/distinfo    Sat Nov 06 11:51:48 2021 +0000
+++ b/math/py-numpy/distinfo    Sat Nov 06 11:52:37 2021 +0000
@@ -1,8 +1,8 @@
-$NetBSD: distinfo,v 1.66 2021/11/02 18:48:28 adam Exp $
+$NetBSD: distinfo,v 1.67 2021/11/06 11:52:37 adam Exp $
 
-BLAKE2s (numpy-1.21.3.zip) = 9c816f9fe7d0bb4c599a17b11064be0a5c74da4ada3c9d972c1f5713dbad1eaf
-SHA512 (numpy-1.21.3.zip) = 8fbe4e8543b72ad5203d5b122eb3d875e48965682945898e54f4ce82cf790713dfd9185b8b12439aefa86bf25209ea25d04ec3ca2aa2b8d2f32d69358421b792
-Size (numpy-1.21.3.zip) = 10269351 bytes
+BLAKE2s (numpy-1.21.4.zip) = 6dc7ecda95afcd72cfcd9345882cf25c55c4a5936fd7db1d705be0e1cfa3e612
+SHA512 (numpy-1.21.4.zip) = 85575a009bf40a8e5acaaa949d2669545968825df34273e367c42af36fa882ebb0830ff7953b5617d34d3061b3877238524937c42470fac9464479dc33ae60ce
+Size (numpy-1.21.4.zip) = 10646392 bytes
 SHA1 (patch-numpy_core_setup.py) = 70db6193da36d31a085036e2b61b154e990f70de
 SHA1 (patch-numpy_distutils_fcompiler_____init____.py) = 49d070da5b48bd9818b37ac3254341fa68503c53
 SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed