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| Name: python313-numpy1-devel | Distribution: openSUSE Tumbleweed |
| Version: 1.26.4 | Vendor: openSUSE |
| Release: 4.3 | Build date: Sat Nov 30 10:51:06 2024 |
| Group: Unspecified | Build host: reproducible |
| Size: 705520 | Source RPM: python-numpy1-1.26.4-4.3.src.rpm |
| Packager: http://bugs.opensuse.org | |
| Url: http://www.numpy.org/ | |
| Summary: Development files for numpy applications | |
This package contains files for developing applications using numpy.
BSD-3-Clause
* Sat Nov 30 2024 Ben Greiner <[email protected]>
- Skip tests failing with new setuptools 75
* Mon Nov 25 2024 Markéta Machová <[email protected]>
- Drop meson-python upper bound
* https://github.com/numpy/numpy/pull/26301
- Skip some tests failing on Python 3.13
* Tue Sep 24 2024 ecsos <[email protected]>
- Fix build error for Leap 16.
* Tue Sep 03 2024 Ben Greiner <[email protected]>
- Fix forgotten removal of devel hpc master package
* Sat Aug 31 2024 Benjamin Greiner <[email protected]>
- Bump meson-python to allow 0.16
* Thu Jul 11 2024 Ben Greiner <[email protected]>
- Remove numpy1 hpc master package: One numpy is enough
- Remove mistaken pycache rpmlintrc filter
- Provide a release number in rpm version
* Tue Jul 02 2024 Steve Kowalik <[email protected]>
- Rename this to numpy1 to keep it around.
* Sun May 12 2024 Sarah Kriesch <[email protected]>
- Enable openblas for python-numpy:gnu-hpc on s390x
* Tue Apr 23 2024 Steve Kowalik <[email protected]>
- Add patch fix-meson-multiple-python-versions.patch:
* Ensure meson executes sys.executable when testing Cython.
* Tue Apr 16 2024 Ben Greiner <[email protected]>
- Update to 1.26.4
* NumPy 1.26.4 is a maintenance release that fixes bugs and
regressions discovered after the 1.26.3 release. The Python
versions supported by this release are 3.9-3.12. This is the
last planned release in the 1.26.x series.
* BUG: Restore missing asstr import
* MAINT: prepare 1.26.x for further development
* BUG: numpy.array_api: fix linalg.cholesky upper decomp...
* MAINT, BLD: Fix unused inline functions warnings on clang
* TST: Fix test_numeric on riscv64
* MAINT: add newaxis to __all__ in numpy.array_api
* BUG: Use large file fallocate on 32 bit linux platforms
* TST: Fix test_warning_calls on Python 3.12
* TST: Bump pytz to 2023.3.post1
* BUG: Fix AVX512 build flags on Intel Classic Compiler
* BLD: fix potential issue with escape sequences in __config__.py
* BLD: unvendor meson-python on 1.26.x and upgrade to
meson-python...
* MAINT: Include header defining backtrace
* BUG: Fix np.quantile([Fraction(2,1)], 0.5) (#24711)
- Release 1.26.3
[#]# Compatibility
* f2py will no longer accept ambiguous -m and .pyf CLI
combinations. When more than one .pyf file is passed, an error
is raised. When both -m and a .pyf is passed, a warning is
emitted and the -m provided name is ignored.
[#]# Improvements
* f2py now handles common blocks which have kind specifications
from modules. This further expands the usability of intrinsics
like iso_fortran_env and iso_c_binding.
[#]# Pull requests merged
* MAINT: prepare 1.26.x for further development
* TYP: add None to __getitem__ in numpy.array_api
* BLD,BUG: quadmath required where available [f2py]
* BUG: alpha doesn't use REAL(10)
* BUG: Fix FP overflow error in division when the divisor is
scalar
* MAINT: Pin scipy-openblas version.
* BUG: Fix f2py to enable use of string optional inout argument
* BUG: Fix -fsanitize=alignment issue in
numpy/_core/src/multiarray/arraytypes.c.src
* TST: Explicitly pass NumPy path to cython during tests (also...
* BUG: fix issues with newaxis and linalg.solve in
numpy.array_api
* BUG: Disallow shadowed modulenames
* BUG: Handle common blocks with kind specifications from modules
* BUG: Fix moving compiled executable to root with f2py -c on
Windows
* BUG: Fix single to half-precision conversion on PPC64/VSX3
* TST: f2py: fix issue in test skip condition
* Revert "MAINT: Pin scipy-openblas version."
* MAINT: do not use long type
* TST: PyPy needs another gc.collect on latest versions
* MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1
* BLD: update vendored Meson for AIX shared library fix
* MAINT: Init base in cpu_avx512_kn
* BUG: Fix failing test_features on SapphireRapids
* BUG: Fix non-contiguous memory load when ARM/Neon is enabled
* MAINT,BUG: Never import distutils above 3.12 [f2py]
* MAINT: make the import-time check for old Accelerate more
specific
* MAINT: Bump actions/setup-node and
larsoner/circleci-artifacts-redirector-action
* BUG: avoid seg fault from OOB access in RandomState.set_state()
* BUG: Fix two errors related to not checking for failed
allocations
* BUG: Fix regression with f2py wrappers when modules and
subroutines...
* BUG: Fix build issues on SPR
* BLD: fix uninitialized variable warnings from
simd/neon/memory.h
* BUG: Handle iso_c_type mappings more consistently
* BUG: Fix module name bug in signature files [urgent] [f2py]
* BUG: Handle .pyf.src and fix SciPy [urgent]
* DOC: f2py rewrite with meson details
* BUG: Add external library handling for meson [f2py]
* MAINT: Run f2py's meson backend with the same python that
ran...
* MAINT: Update numpy/f2py/_backends from main.
* MAINT: Easy updates of f2py/*.py from main.
* MAINT: Update crackfortran.py and f2py2e.py from main
* Thu Mar 28 2024 Fabian Vogt <[email protected]>
- Add patch to fix detection of some features:
* 0001-feature-module-Fix-handling-of-multiple-conflicts-pe.patch
- Add patch to fix test failure on some platforms (boo#1221902):
* 0001-BUG-Fix-test_impossible_feature_enable-failing-witho.patch
* Mon Jan 15 2024 Andreas Schwab <[email protected]>
- Update list of expected test failures on riscv64
* Thu Jan 11 2024 Torsten Gruner <[email protected]>
- Fix gnu-hpc build error for Leap
* Wed Dec 27 2023 ecsos <[email protected]>
- Fix build error for Leap. Need gcc >= 8.5
* Wed Dec 13 2023 Steve Kowalik <[email protected]>
- Do not attempt to ship numpy.distutils C code in the Python 3.12 -devel
package, it is not installed.
* Mon Nov 20 2023 Steve Kowalik <[email protected]>
- Update to 1.26.2:
* TYP: Trim down the ``_NestedSequence.__getitem__`` signature
* BUG: fix choose refcount leak
* TST: fix running the test suite in builds without BLAS/LAPACK
* BUG: random: Fix generation of nan by dirichlet.
* TST: fix distutils tests for deprecations in recent setuptools...
* MAINT: Remove versioneer
* MAINT: Pin upper version of sphinx.
* ENH: Add prefix to _ALIGN Macro
* BUG: cleanup warnings [skip azp][skip circle][skip travis][skip...
* BUG: ``asv dev`` has been removed, use ``asv run``.
* BUG: Fix meson build failure due to unchanged inplace auto-generated...
* BUG: fix issue with git-version script, needs a shebang to run
* BUG: Use a default assignment for git_hash [skip ci]
* BUG: fix NPY_cast_info error handling in choose
* BUG: Fix common block handling in f2py
* BUG: Fix assumed length f2py regression
* MAINT: Harmonize fortranobject
* TYP: add kind argument to numpy.isin type specification
* BUG: fix comparisons between masked and unmasked structured arrays
* ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including...
* TYP: Add the missing ``casting`` keyword to ``np.clip``
* TST: convert cython test from setup.py to meson
* MAINT: Fixup ``fromnumeric.pyi``
* BUG, ENH: Fix ``iso_c_binding`` type maps
* TYP: Allow ``binary_repr`` to accept any object
* TYP: Explicitly declare ``dtype`` and ``generic`` hashable
* ENH: Refactor the typing "reveal" tests using `typing.assert_type`
* ENH: ``meson`` backend for ``f2py``
* MAINT: Refactor partial load Workaround for Clang
* BUG: Fix data stmt handling for complex values in f2py
* TYP: Add annotations for the py3.12 buffer protocol
* DOC: Updated the f2py docs to remove a note on -fimplicit-none
* BUG: Fix SIMD f32 trunc test on s390x when baseline is none
* BUG: Fix DATA statements for f2py
* API: Add ``NumpyUnpickler`` for backporting
* MAINT: Xfail test failing on PyPy.
* ENH: meson: implement BLAS/LAPACK auto-detection
* DOC: add a 1.26.1 release notes section for BLAS/LAPACK build
* MAINT: Backport ``numpy._core`` stubs. Remove ``NumpyUnpickler``
* BUG: loongarch doesn't use REAL(10)
* MAINT: align test_dispatcher s390x targets with _umath_tests_mtargets
* ENH: Add Cython enumeration for NPY_FR_GENERIC
* MAINT: Remove unhelpful error replacements from ``import_array()``
* BUG: Avoid intp conversion regression in Cython 3
* MAINT: Add missing ``noexcept`` to shuffle helpers
* DOC: Fix license identifier for OpenBLAS
* BLD: improve detection of Netlib libblas/libcblas/liblapack
* MAINT: Make bitfield integers unsigned
* BUG: Make n a long int for np.random.multinomial
* BUG: ensure passing ``np.dtype`` to itself doesn't crash
- Update BuildRequires as appropiate, build system changed from setuptools
to meson.
- Drop patch ignore-pkg_resources-deprecation.patch, no longer required
- f2py3 no longer shipped
* Wed Aug 16 2023 Daniel Garcia <[email protected]>
- Use %pyproject_wheel and %pyproject_install macros
- Disable broken tests in armv7l (bsc#1212710)
* Mon Aug 14 2023 Dirk Müller <[email protected]>
- limit to Cython < 3
* Mon Aug 14 2023 Dirk Müller <[email protected]>
- update to 1.25.2:
* Upgrade various build dependencies.
* use ``-ftrapping-math`` with Clang on macOS
* properly handle negative indexes in ufunc_at fast path
* PyObject_IsTrue and PyObject_Not error handling in setflags
* histogram small range robust
* Update meson.build files from main branch
* exclude min, max and round from ``np.__all__``
* Dependabot updates
* Fix the signature for np.array_api.take
* update OpenBLAS to an intermeidate commit
* Fix reference count leak in str(scalar).
* fix invalid function pointer conversion error
* Factor out slow ``getenv`` call used for memory policy warning
* correct URL in cirrus.star [skip cirrus]
* Fix C types in scalartypes
* do not modify the input to ufunc_at
* Further fixes to indexing loop and added tests
* Thu Jul 20 2023 Guillaume GARDET <[email protected]>
- Update to 1.25.1:
* NumPy 1.25.1 is a maintenance release that fixes bugs and regressions
discovered after the 1.25.0 release. The Python versions supported by
this release are 3.9-3.11.
* #23968: MAINT: prepare 1.25.x for further development
* #24036: BLD: Port long double identification to C for meson
* #24037: BUG: Fix reduction return NULL to be goto fail
* #24038: BUG: Avoid undefined behavior in array.astype()
* #24039: BUG: Ensure __array_ufunc__ works without any kwargs passed
* #24117: MAINT: Pin urllib3 to avoid anaconda-client bug.
* #24118: TST: Pin pydantic<2 in Pyodide workflow
* #24119: MAINT: Bump pypa/cibuildwheel from 2.13.0 to 2.13.1
* #24120: MAINT: Bump actions/checkout from 3.5.2 to 3.5.3
* #24122: BUG: Multiply or Divides using SIMD without a full vector can...
* #24127: MAINT: testing for IS_MUSL closes #24074
* #24128: BUG: Only replace dtype temporarily if dimensions changed
* #24129: MAINT: Bump actions/setup-node from 3.6.0 to 3.7.0
* #24134: BUG: Fix private procedures in f2py modules
- Skipped 1.25.0:
* The NumPy 1.25.0 release continues the ongoing work to improve the
handling and promotion of dtypes, increase the execution speed, and
clarify the documentation. There has also been work to prepare for the
future NumPy 2.0.0 release, resulting in a large number of new and
expired deprecation. Highlights are:
- Support for MUSL, there are now MUSL wheels.
- Support the Fujitsu C/C++ compiler.
- Object arrays are now supported in einsum
- Support for inplace matrix multiplication (@=).
* Full changelog: https://github.com/numpy/numpy/releases/tag/v1.25.0
The Python versions supported in this release are 3.9-3.11.
- Remove upstream patch:
* remove-deprecated-hypothesis-funcs.patch
* Fri Jun 23 2023 Stefan Brüns <[email protected]>
- Adapt test exceptions for PPC64 etc., TestFReturnCharacter
instead of TestF77ReturnCharacter, TestF90ReturnCharacter
* Fri May 12 2023 Steve Kowalik <[email protected]>
- Add patch remove-deprecated-hypothesis-funcs.patch:
* Change to a non-deprecated function from hypothesis.
* Fri Apr 21 2023 Dirk Müller <[email protected]>
- add sle15_python_module_pythons (jsc#PED-68)
* Fri Mar 24 2023 Steve Kowalik <[email protected]>
- Add patch ignore-pkg_resources-deprecation.patch:
* Ignore DeprecationWarning from pkg_resources.
* Wed Mar 22 2023 Dirk Müller <[email protected]>
- update to 1.24.2:
just bugfixes, see
https://github.com/numpy/numpy/releases/tag/v1.24.2
for details
* Fri Mar 10 2023 Matej Cepl <[email protected]>
- Skip test_ppc64_ibm_double_double128 test on ppc64*
architectures (gh#numpy/numpy#21094, bsc#1208865).
* Wed Feb 01 2023 Dirk Müller <[email protected]>
- build-conditionalize cblas dependency, it is missing on SLE <= 15
related to bsc#1177260 not being fixable for SLE15 (jsc#PED-3257)
* Sun Jan 22 2023 Ben Greiner <[email protected]>
- Slightly reformat the specfile condition blocks: The
%python_subpackages generator misses " %if" lines with a
preceding whitespace. Relevant for d:l:p:backports not having
libalternatives.
* Mon Jan 02 2023 Ben Greiner <[email protected]>
- Update to 1.24.1
* NumPy 1.24.1 is a maintenance release that fixes bugs and
regressions discovered after the 1.24.0 release. The Python
versions supported by this release are 3.8-3.11.
* #22820: BLD: add workaround in setup.py for newer setuptools
* #22830: BLD: CIRRUS_TAG redux
* #22831: DOC: fix a couple typos in 1.23 notes
* #22832: BUG: Fix refcounting errors found using pytest-leaks
* #22834: BUG, SIMD: Fix invalid value encountered in several
ufuncs
* #22837: TST: ignore more np.distutils.log imports
* #22839: BUG: Do not use getdata() in np.ma.masked_invalid
* #22847: BUG: Ensure correct behavior for rows ending in
delimiter in...
* #22848: BUG, SIMD: Fix the bitmask of the boolean comparison
* #22857: BLD: Help raspian arm + clang 13 about
__builtin_mul_overflow
* #22858: API: Ensure a full mask is returned for masked_invalid
* #22866: BUG: Polynomials now copy properly (#22669)
* #22867: BUG, SIMD: Fix memory overlap in ufunc comparison loops
* #22868: BUG: Fortify string casts against floating point
warnings
* #22875: TST: Ignore nan-warnings in randomized out tests
* #22883: MAINT: restore npymath implementations needed for
freebsd
* #22884: BUG: Fix integer overflow in in1d for mixed integer
dtypes #22877
* #22887: BUG: Use whole file for encoding checks with
charset_normalizer.
- Drop numpy-distutils-ignore.patch fixed upstream
* Mon Dec 19 2022 Ben Greiner <[email protected]>
- Update to 1.24.0
* The NumPy 1.24.0 release continues the ongoing work to improve
the handling and promotion of dtypes, increase the execution
speed, and clarify the documentation. There are also a large
number of new and expired deprecations due to changes in
promotion and cleanups. This might be called a deprecation
release. Highlights are:
- Many new deprecations, check them out.
- Many expired deprecations,
- New F2PY features and fixes.
- New “dtype” and “casting” keywords for stacking functions.
* For a detailed description see
https://numpy.org/doc/stable/release/1.24.0-notes.html
- Add numpy-distutils-ignore.patch gh#numpy/numpy#22828
- Fix running the tests: Actually fail on errors
* Wed Dec 14 2022 Ben Greiner <[email protected]>
- Support builds without any primary python3 package (:backports)
* Thu Oct 20 2022 Ben Greiner <[email protected]>
- Update to 1.23.4
* NumPy 1.23.4 is a maintenance release that fixes bugs
discovered after the 1.23.3 release and keeps the build
infrastructure current. The main improvements are fixes for
some annotation corner cases, a fix for a long time
nested_iters memory leak, and a fix of complex vector dot for
very large arrays. The Python versions supported for this
release are 3.8-3.11.
* Tue Oct 11 2022 Ben Greiner <[email protected]>
- Revert some spec-cleaner "Verschlimmbesserungen"
- Remove old unused directives for Python <=3.6 from specfile
* Fri Sep 30 2022 Arun Persaud <[email protected]>
- specfile:
* remove patch numpy-fix-cpu_asimdfhm.patch, included upstream
* update line numbers for other patches
* require c++ compiler
- update to version 1.23.3:
* #22136: BLD: Add Python 3.11 wheels to aarch64 build
* #22148: MAINT: Update setup.py for Python 3.11.
* #22155: CI: Test NumPy build against old versions of GCC(6, 7, 8)
* #22156: MAINT: support IBM i system
* #22195: BUG: Fix circleci build
* #22214: BUG: Expose heapsort algorithms in a shared header
* #22215: BUG: Support using libunwind for backtrack
* #22216: MAINT: fix an incorrect pointer type usage in f2py
* #22220: BUG: change overloads to play nice with pyright.
* #22221: TST,BUG: Use fork context to fix MacOS savez test
* #22222: TYP,BUG: Reduce argument validation in C-based
__class_getitem__
* #22223: TST: ensure np.equal.reduce raises a TypeError
* #22224: BUG: Fix the implementation of numpy.array_api.vecdot
* #22230: BUG: Better report integer division overflow (backport)
- changes from version 1.23.2:
* #22030: ENH: Add __array_ufunc__ typing support to the nin=1
ufuncs
* #22031: MAINT, TYP: Fix np.angle dtype-overloads
* #22032: MAINT: Do not let _GenericAlias wrap the underlying
classes'...
* #22033: TYP,MAINT: Allow einsum subscripts to be passed via
integer...
* #22034: MAINT,TYP: Add object-overloads for the np.generic rich
comparisons
* #22035: MAINT,TYP: Allow the squeeze and transpose method to...
* #22036: BUG: Fix subarray to object cast ownership details
* #22037: BUG: Use Popen to silently invoke f77 -v
* #22038: BUG: Avoid errors on NULL during deepcopy
* #22039: DOC: Add versionchanged for converter callable behavior.
* #22057: MAINT: Quiet the anaconda uploads.
* #22078: ENH: reorder includes for testing on top of system
installations...
* #22106: TST: fix test_linear_interpolation_formula_symmetric
* #22107: BUG: Fix skip condition for
test_loss_of_precision[complex256]
* #22115: BLD: Build python3.11.0rc1 wheels.
- changes from version 1.23.1:
* #21866: BUG: Fix discovered MachAr (still used within valgrind)
* #21867: BUG: Handle NaNs correctly for float16 during sorting
* #21868: BUG: Use keepdims during normalization in np.average
and...
* #21869: DOC: mention changes to max_rows behaviour in np.loadtxt
* #21870: BUG: Reject non integer array-likes with size 1 in delete
* #21949: BLD: Make can_link_svml return False for 32bit builds on
x86_64
* #21951: BUG: Reorder extern "C" to only apply to function
declarations...
* #21952: BUG: Fix KeyError in crackfortran operator support
- changes from version 1.23.0:
* long changelog
https://github.com/numpy/numpy/blob/main/doc/changelog/1.23.0-changelog.rst
- changes from version 1.22.4:
* #21191: TYP, BUG: Fix np.lib.stride_tricks re-exported under
the...
* #21192: TST: Bump mypy from 0.931 to 0.940
* #21243: MAINT: Explicitly re-export the types in numpy._typing
* #21245: MAINT: Specify sphinx, numpydoc versions for CI doc builds
* #21275: BUG: Fix typos
* #21277: ENH, BLD: Fix math feature detection for wasm
* #21350: MAINT: Fix failing simd and cygwin tests.
* #21438: MAINT: Fix failing Python 3.8 32-bit Windows test.
* #21444: BUG: add linux guard per #21386
* #21445: BUG: Allow legacy dtypes to cast to datetime again
* #21446: BUG: Make mmap handling safer in frombuffer
* #21447: BUG: Stop using PyBytesObject.ob_shash deprecated in
Python 3.11.
* #21448: ENH: Introduce numpy.core.setup_common.NPY_CXX_FLAGS
* #21472: BUG: Ensure compile errors are raised correclty
* #21473: BUG: Fix segmentation fault
* #21474: MAINT: Update doc requirements
* #21475: MAINT: Mark npy_memchr with no_sanitize("alignment") on
clang
* #21512: DOC: Proposal - make the doc landing page cards more
similar...
* #21525: MAINT: Update Cython version to 0.29.30.
* #21536: BUG: Fix GCC error during build configuration
* #21541: REL: Prepare for the NumPy 1.22.4 release.
* #21547: MAINT: Skip tests that fail on PyPy.
- changes from version 1.22.3:
* #21048: MAINT: Use "3.10" instead of "3.10-dev" on travis.
* #21106: TYP,MAINT: Explicitly allow sequences of array-likes in
np.concatenate
* #21137: BLD,DOC: skip broken ipython 8.1.0
* #21138: BUG, ENH: np._from_dlpack: export correct device
information
* #21139: BUG: Fix numba DUFuncs added loops getting picked up
* #21140: BUG: Fix unpickling an empty ndarray with a non-zero
dimension...
* #21141: BUG: use ThreadPoolExecutor instead of ThreadPool
* #21142: API: Disallow strings in logical ufuncs
* #21143: MAINT, DOC: Fix SciPy intersphinx link
* #21148: BUG,ENH: np._from_dlpack: export arrays with any strided
size-1...
- changes from version 1.22.2 (CVE-2021-41495, bsc#1193911):
* #20842: BLD: Add NPY_DISABLE_SVML env var to opt out of SVML
* #20843: BUG: Fix build of third party extensions with
Py_LIMITED_API
* #20844: TYP: Fix pyright being unable to infer the real and
imag...
* #20845: BUG: Fix comparator function signatures
* #20906: BUG: Avoid importing numpy.distutils on import
numpy.testing
* #20907: MAINT: remove outdated mingw32 fseek support
* #20908: TYP: Relax the return type of np.vectorize
* #20909: BUG: fix f2py's define for threading when building with
Mingw
* #20910: BUG: distutils: fix building mixed C/Fortran extensions
* #20912: DOC,TST: Fix Pandas code example as per new release
* #20935: TYP, MAINT: Add annotations for flatiter.__setitem__
* #20936: MAINT, TYP: Added missing where typehints in
fromnumeric.pyi
* #20937: BUG: Fix build_ext interaction with non numpy extensions
* #20938: BUG: Fix missing intrinsics for windows/arm64 target
* #20945: REL: Prepare for the NumPy 1.22.2 release.
* #20982: MAINT: f2py: don't generate code that triggers
- Wsometimes-uninitialized.
* #20983: BUG: Fix incorrect return type in reduce without initial
value
* #20984: ENH: review return values for PyArray_DescrNew
* #20985: MAINT: be more tolerant of setuptools >= 60
* #20986: BUG: Fix misplaced return.
* #20992: MAINT: Further small return value validation fixes
- changes from version 1.22.1:
* #20702: MAINT, DOC: Post 1.22.0 release fixes.
* #20703: DOC, BUG: Use pngs instead of svgs.
* #20704: DOC:Fixed the link on user-guide landing page
* #20714: BUG: Restore vc141 support
* #20724: BUG: Fix array dimensions solver for multidimensional
arguments...
* #20725: TYP: change type annotation for __array_namespace__ to
ModuleType
* #20726: TYP, MAINT: Allow ndindex to accept integer tuples
* #20757: BUG: Relax dtype identity check in reductions
* #20763: TYP: Allow time manipulation functions to accept date and
timedelta...
* #20768: TYP: Relax the type of ndarray.__array_finalize__
* #20795: MAINT: Raise RuntimeError if setuptools version is too
recent.
* #20796: BUG, DOC: Fixes SciPy docs build warnings
* #20797: DOC: fix OpenBLAS version in release note
* #20798: PERF: Optimize array check for bounded 0,1 values
* #20805: BUG: Fix that reduce-likes honor out always (and live in
the...
* #20806: BUG: array_api.argsort(descending=True) respects
relative...
* #20807: BUG: Allow integer inputs for pow-related functions in
array_api
* #20814: DOC: Refer to NumPy, not pandas, in main page
* #20815: DOC: Update Copyright to 2022 [License]
* #20819: BUG: Return correctly shaped inverse indices in array_api
set...
- changes from version 1.22.0:
* long list of changes
https://github.com/numpy/numpy/blob/main/doc/changelog/1.22.0-changelog.rst
* Sun May 29 2022 Dirk Müller <[email protected]>
- update to 1.21.6:
* Do not forward `__(deep)copy__` calls of `_GenericAlias`...
* Fix float16 einsum fastpaths using wrong tempvar
* Print os error message when the executable not exist
* Force ``npymath` ` to respect ``npy_longdouble``
* Fix failure to create aligned, empty structured dtype
* provide a convenience function to replace npy_load_module
* update wheel to version that supports python3.10
* Clear errors correctly in F2PY conversions
* add a warningfilter to fix pytest workflow.
* Help boost::python libraries at least not crash
- drop bpo-45167-fixes.patch (upstream)
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Fabrice Bellet, Sun Jan 12 02:11:34 2025