[pkgsrc/trunk]: pkgsrc/math/py-numpy py-numpy: updated to 1.23.4

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

details:   https://anonhg.NetBSD.org/pkgsrc/rev/e4eed3672e4c
branches:  trunk
changeset: 387014:e4eed3672e4c
user:      adam <adam%pkgsrc.org@localhost>
date:      Wed Oct 19 17:27:58 2022 +0000

description:
py-numpy: updated to 1.23.4

1.23.4
BUG: Add ``__array_api_version__`` to ``numpy.array_api`` namespace
MAINT: update sde toolkit to 9.0, fix download link
BLD: use macos-11 image on azure, macos-1015 is deprecated
MAINT: random: remove ``get_info`` from "extending with Cython"...
BUG: Fix complex vector dot with more than NPY_CBLAS_CHUNK elements
REV: Loosen ``lookfor``'s import try/except again
TYP,ENH: Mark ``numpy.typing`` protocols as runtime checkable
TYP,MAINT: Change more overloads to play nice with pyright
TST,TYP: Bump mypy to 0.981
DOC: Update delimiter param description.
BUG: Memory leaks in numpy.nested_iters
REL: Prepare for the NumPy 1.23.4 release.
TST: Fix failing aarch64 wheel builds.

diffstat:

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

diffs (28 lines):

diff -r 47e5d5d1b389 -r e4eed3672e4c math/py-numpy/Makefile
--- a/math/py-numpy/Makefile    Wed Oct 19 17:27:11 2022 +0000
+++ b/math/py-numpy/Makefile    Wed Oct 19 17:27:58 2022 +0000
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.99 2022/09/12 08:05:45 adam Exp $
+# $NetBSD: Makefile,v 1.100 2022/10/19 17:27:58 adam Exp $
 
-DISTNAME=      numpy-1.23.3
+DISTNAME=      numpy-1.23.4
 PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=    math python
 MASTER_SITES=  ${MASTER_SITE_PYPI:=n/numpy/}
diff -r 47e5d5d1b389 -r e4eed3672e4c math/py-numpy/distinfo
--- a/math/py-numpy/distinfo    Wed Oct 19 17:27:11 2022 +0000
+++ b/math/py-numpy/distinfo    Wed Oct 19 17:27:58 2022 +0000
@@ -1,8 +1,8 @@
-$NetBSD: distinfo,v 1.77 2022/09/12 08:05:45 adam Exp $
+$NetBSD: distinfo,v 1.78 2022/10/19 17:27:58 adam Exp $
 
-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
+BLAKE2s (numpy-1.23.4.tar.gz) = 1f6e7bdb924ad3e3174a0c989bdb479530a516603b436be03b4cc957f2816bce
+SHA512 (numpy-1.23.4.tar.gz) = 727ca8950b0fbd5670e939b1c9c5cea852781ec4254d56a1659a91dc0430fc10b01ffdd16e1bb28a62319f91029e087024f4c6298bfc859a6050bfb507edcff8
+Size (numpy-1.23.4.tar.gz) = 10728765 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