[pkgsrc/trunk]: pkgsrc/math/py-numpy py-numpy: updated to 1.23.3

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

details:   https://anonhg.NetBSD.org/pkgsrc/rev/90cc39bdb5ea
branches:  trunk
changeset: 385234:90cc39bdb5ea
user:      adam <adam%pkgsrc.org@localhost>
date:      Mon Sep 12 08:05:45 2022 +0000

description:
py-numpy: updated to 1.23.3

1.23.3

BLD: Add Python 3.11 wheels to aarch64 build
MAINT: Update setup.py for Python 3.11.
CI: Test NumPy build against old versions of GCC(6, 7, 8)
MAINT: support IBM i system
BUG: Fix circleci build
BUG: Expose heapsort algorithms in a shared header
BUG: Support using libunwind for backtrack
MAINT: fix an incorrect pointer type usage in f2py
BUG: change overloads to play nice with pyright.
TST,BUG: Use fork context to fix MacOS savez test
TYP,BUG: Reduce argument validation in C-based ``__class_getitem__``
TST: ensure ``np.equal.reduce`` raises a ``TypeError``
BUG: Fix the implementation of numpy.array_api.vecdot
BUG: Better report integer division overflow (backport)

diffstat:

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

diffs (28 lines):

diff -r 57e362548624 -r 90cc39bdb5ea math/py-numpy/Makefile
--- a/math/py-numpy/Makefile    Mon Sep 12 07:59:44 2022 +0000
+++ b/math/py-numpy/Makefile    Mon Sep 12 08:05:45 2022 +0000
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.98 2022/09/07 15:11:56 adam Exp $
+# $NetBSD: Makefile,v 1.99 2022/09/12 08:05:45 adam Exp $
 
-DISTNAME=      numpy-1.23.2
+DISTNAME=      numpy-1.23.3
 PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=    math python
 MASTER_SITES=  ${MASTER_SITE_PYPI:=n/numpy/}
diff -r 57e362548624 -r 90cc39bdb5ea math/py-numpy/distinfo
--- a/math/py-numpy/distinfo    Mon Sep 12 07:59:44 2022 +0000
+++ b/math/py-numpy/distinfo    Mon Sep 12 08:05:45 2022 +0000
@@ -1,8 +1,8 @@
-$NetBSD: distinfo,v 1.76 2022/09/07 15:11:56 adam Exp $
+$NetBSD: distinfo,v 1.77 2022/09/12 08:05:45 adam Exp $
 
-BLAKE2s (numpy-1.23.2.tar.gz) = 780add5f3450d4140fc24382ba5f2be877d59e8e0ef7e985105c1770610a2513
-SHA512 (numpy-1.23.2.tar.gz) = ac5ed21887d41c94d395bfee2bb5492453b375344e43a9944224dac2eb13c6ad7477aa7a626d032d27b1c610e269232998ecc77a327da887748e794bf28c3feb
-Size (numpy-1.23.2.tar.gz) = 10719306 bytes
+BLAKE2s (numpy-1.23.3.tar.gz) = d3eb178fc950f05d421e8071635cb356cd180444e7a7a6e7f5770232e3b59202
+SHA512 (numpy-1.23.3.tar.gz) = e690ea2906c91e567df2c801fbfe41652dabd37208faa99d6e068bda423dcc9f88be013478e9b6c1a339c36ef4c44b07a067d44e4e9c4b2e4f1344cbcb0598a9
+Size (numpy-1.23.3.tar.gz) = 10726039 bytes
 SHA1 (patch-numpy_core_include_numpy_npy__common.h) = 354e336b98f634b6298d0b1d0e85ef1a9d240bff
 SHA1 (patch-numpy_core_setup.py) = 01f90b7eb700cfa51edded31498c2de4c3850848
 SHA1 (patch-numpy_core_src_npymath_npy__math__private.h) = e3b8e751fd0b6b6c6794d714aa5f60dfe9d7f421