summaryrefslogtreecommitdiff
path: root/math
diff options
context:
space:
mode:
authoradam <adam@pkgsrc.org>2022-09-12 08:05:45 +0000
committeradam <adam@pkgsrc.org>2022-09-12 08:05:45 +0000
commite1a3d8a1abb03673ee6ddf543528ca0d0737b3d7 (patch)
treeac3bfa5af0cf9a9b47e799bae3bf9287976a0cad /math
parent1556caf920de18bd2276215054cc6669d11bfa6e (diff)
downloadpkgsrc-e1a3d8a1abb03673ee6ddf543528ca0d0737b3d7.tar.gz
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 (limited to 'math')
-rw-r--r--math/py-numpy/Makefile4
-rw-r--r--math/py-numpy/distinfo8
2 files changed, 6 insertions, 6 deletions
diff --git a/math/py-numpy/Makefile b/math/py-numpy/Makefile
index d53dee05b7c..3cb261a0b9e 100644
--- a/math/py-numpy/Makefile
+++ b/math/py-numpy/Makefile
@@ -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= ${MASTER_SITE_PYPI:=n/numpy/}
diff --git a/math/py-numpy/distinfo b/math/py-numpy/distinfo
index a0efba4c26e..99561418fe1 100644
--- a/math/py-numpy/distinfo
+++ b/math/py-numpy/distinfo
@@ -1,8 +1,8 @@
-$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