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[pkgsrc/trunk]: pkgsrc/math/py-numpy py-numpy: updated to 1.20.3
details: https://anonhg.NetBSD.org/pkgsrc/rev/a3d96ebaf5ce
branches: trunk
changeset: 452503:a3d96ebaf5ce
user: adam <adam%pkgsrc.org@localhost>
date: Wed May 12 08:12:10 2021 +0000
description:
py-numpy: updated to 1.20.3
1.20.3:
BUG: Correct ``datetime64`` missing type overload for ``datetime.date``
MAINT: Remove ``__all__`` in favor of explicit re-exports
BLD: Strip extra newline when dumping gfortran version on MacOS
BUG: fix segfault in object/longdouble operations
MAINT: Use towncrier build explicitly
MAINT: Relax certain integer-type constraints
MAINT: Remove unsafe unions and ABCs from return-annotations
MAINT: Allow more recursion depth for scalar tests.
BUG: Initialize the full nditer buffer in case of error
BLD: remove unnecessary flag ``-faltivec`` on macOS
MAINT, CI: treats _SIMD module build warnings as errors through...
BUG: for MINGW, threads.h existence test requires GLIBC > 2.12
BUG: Make changelog recognize gh- as a PR number prefix.
REL, DOC: Prepare for the NumPy 1.20.3 release.
BUG: Fix failing mypy test in 1.20.x.
diffstat:
math/py-numpy/Makefile | 4 ++--
math/py-numpy/distinfo | 10 +++++-----
2 files changed, 7 insertions(+), 7 deletions(-)
diffs (30 lines):
diff -r cfc94e60e92e -r a3d96ebaf5ce math/py-numpy/Makefile
--- a/math/py-numpy/Makefile Wed May 12 08:04:15 2021 +0000
+++ b/math/py-numpy/Makefile Wed May 12 08:12:10 2021 +0000
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.80 2021/05/05 06:27:45 wiz Exp $
+# $NetBSD: Makefile,v 1.81 2021/05/12 08:12:10 adam Exp $
-DISTNAME= numpy-1.20.2
+DISTNAME= numpy-1.20.3
PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
CATEGORIES= math python
MASTER_SITES= ${MASTER_SITE_PYPI:=n/numpy/}
diff -r cfc94e60e92e -r a3d96ebaf5ce math/py-numpy/distinfo
--- a/math/py-numpy/distinfo Wed May 12 08:04:15 2021 +0000
+++ b/math/py-numpy/distinfo Wed May 12 08:12:10 2021 +0000
@@ -1,9 +1,9 @@
-$NetBSD: distinfo,v 1.61 2021/05/03 17:15:22 adam Exp $
+$NetBSD: distinfo,v 1.62 2021/05/12 08:12:10 adam Exp $
-SHA1 (numpy-1.20.2.zip) = 12b7a872c4d2ddcb22b5796f19ba4349e4fe0038
-RMD160 (numpy-1.20.2.zip) = b931f92e9830a79d51f705218b8dd0ded49ae7ba
-SHA512 (numpy-1.20.2.zip) = 337a66d68c965da06f757a89b58d30b83ec0b2f3c7a3bb39496e5031e50fee6c4f2ec090202c3da9a20613864ea46d032ae75af1de5c33eebe515133ef37d40c
-Size (numpy-1.20.2.zip) = 7756879 bytes
+SHA1 (numpy-1.20.3.zip) = 56731f9eedf3bd42de2940515cfe3fadea7dfcca
+RMD160 (numpy-1.20.3.zip) = 1ca729de5134bcc647e5634f1bc0a4edd03ef1b3
+SHA512 (numpy-1.20.3.zip) = 897be1cd6f3880711149dcedd838357e2d937a3c5f36b2a0db6ceed341654acf96b8b775610e1b43bdb6eacb987bbc51aaa8906244ca02cc8c2eae359ccef405
+Size (numpy-1.20.3.zip) = 7761912 bytes
SHA1 (patch-numpy_core_setup.py) = 70db6193da36d31a085036e2b61b154e990f70de
SHA1 (patch-numpy_distutils_fcompiler_____init____.py) = 49d070da5b48bd9818b37ac3254341fa68503c53
SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed
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