CVS commit: pkgsrc/math/py-numpy

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

Module Name:    pkgsrc
Committed By:   adam
Date:           Sat Nov  6 11:52:37 UTC 2021

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

Log Message:
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.


To generate a diff of this commit:
cvs rdiff -u -r1.84 -r1.85 pkgsrc/math/py-numpy/Makefile
cvs rdiff -u -r1.66 -r1.67 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/Makefile
diff -u pkgsrc/math/py-numpy/Makefile:1.84 pkgsrc/math/py-numpy/Makefile:1.85
--- pkgsrc/math/py-numpy/Makefile:1.84  Tue Nov  2 18:48:28 2021
+++ pkgsrc/math/py-numpy/Makefile       Sat Nov  6 11:52:37 2021
@@ -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/}

Index: pkgsrc/math/py-numpy/distinfo
diff -u pkgsrc/math/py-numpy/distinfo:1.66 pkgsrc/math/py-numpy/distinfo:1.67
--- pkgsrc/math/py-numpy/distinfo:1.66  Tue Nov  2 18:48:28 2021
+++ pkgsrc/math/py-numpy/distinfo       Sat Nov  6 11:52:37 2021
@@ -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