- Update to 2.3.2
* This release supports Python versions 3.11-3.14
# 2.3.0
* Interactive examples in the NumPy documentation.
* Building NumPy with OpenMP Parallelization.
* Improved support for free threaded Python.
* Improved annotations.
* New function numpy.strings.slice
## Deprecations
* The numpy.typing.mypy_plugin has been deprecated in favor of platform-
agnostic static type inference.
* The numpy.typing.NBitBase type has been deprecated and will be removed
in a future version.
## Expired deprecations
* Removed the np.compat package source code
* Remove numpy/npy_1_7_deprecated_api.h and C macros like NPY_OWNDATA
in favor of NPY_ARRAY_OWNDATA.
* Remove alias generate_divbyzero_error to npy_set_floatstatus_divbyzero
and generate_overflow_error to npy_set_floatstatus_overflow.
* Remove np.tostring
* Raise on np.conjugate of non-numeric types
* Raise when using np.bincount(...minlength=None), use 0 instead
* Passing shape=None to functions with a non-optional shape argument errors,
use () instead
* Inexact matches for mode and searchside raise
* Setting __array_finalize__ = None errors
* np.fromfile and np.fromstring error on bad data, previously they would guess
* datetime64 and timedelta64 construction with a tuple no longer accepts an
event value, either use a two-tuple of (unit, num) or a 4-tuple of (unit, num, den, 1)
* Parsing an integer via a float string is no longer supported. To avoid this
OBS-URL: https://build.opensuse.org/request/show/1299204
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=188
looks like I managed to patch numba
- Update to 2.2.2
* New functions matvec and vecmat
* Many improved annotations
* Improved support for the new StringDType
* Improved support for free threaded Python
* Fixes for f2py
## Deprecations
* _add_newdoc_ufunc is now deprecated. ufunc.__doc__ = newdoc should
be used instead.
## Expired deprecations
* bool(np.array([])) and other empty arrays will now raise an error.
Use arr.size > 0 instead to check whether an array has no elements.
## Compatibility notes
* numpy.cov now properly transposes single-row (2d array) design
matrices when rowvar=False. Previously, single-row design matrices
would return a scalar in this scenario, which is not correct, so
this is a behavior change and an array of the appropriate shape
will now be returned.
## New Features
* New functions for matrix-vector and vector-matrix products
* np.complexfloating[T, T] can now also be written as np.complexfloating[T]
* UFuncs now support __dict__ attribute and allow overriding __doc__
(either directly or via ufunc.__dict__["__doc__"]). __dict__ can be
used to also override other properties, such as __module__ or
__qualname__.
* The “nbit” type parameter of np.number and its subtypes now defaults
to typing.Any. This way, type-checkers will infer annotations such
as x: np.floating as x: np.floating[Any], even in strict mode.
OBS-URL: https://build.opensuse.org/request/show/1254113
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=182
- update to 2.1.3:
* #27512: MAINT: prepare 2.1.x for further development
* #27537: MAINT: Bump actions/cache from 4.0.2 to 4.1.1
* #27538: MAINT: Bump pypa/cibuildwheel from 2.21.2 to 2.21.3
* #27539: MAINT: MSVC does not support #warning directive
* #27543: BUG: Fix user dtype can-cast with python scalar during promotion
* #27561: DEV: bump python to 3.12 in environment.yml
* #27562: BLD: update vendored Meson to 1.5.2
* #27563: BUG: weighted quantile for some zero weights (#27549)
* #27565: MAINT: Use miniforge for macos conda test.
* #27566: BUILD: satisfy gcc-13 pendantic errors
* #27569: BUG: handle possible error for PyTraceMallocTrack
* #27570: BLD: start building Windows free-threaded wheels [wheel build]
* #27571: BUILD: vendor tempita from Cython
* #27574: BUG: Fix warning "differs in levels of indirection" in npy_atomic.h...
* #27592: MAINT: Update Highway to latest
* #27593: BUG: Adjust numpy.i for SWIG 4.3 compatibility
* #27616: BUG: Fix Linux QEMU CI workflow
* #27668: BLD: Do not set __STDC_VERSION__ to zero during build
* #27669: ENH: fix wasm32 runtime type error in numpy._core
* #27672: BUG: Fix a reference count leak in npy_find_descr_for_scalar.
* #27673: BUG: fixes for StringDType/unicode promoters
OBS-URL: https://build.opensuse.org/request/show/1221641
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=173
- update to 2.1.2
* #27333: MAINT: prepare 2.1.x for further development
* #27400: BUG: apply critical sections around populating the dispatch cache
* #27406: BUG: Stub out get_build_msvc_version if distutils.msvccompiler...
* #27416: BUILD: fix missing include for std::ptrdiff_t for C++23 language...
* #27433: BLD: pin setuptools to avoid breaking numpy.distutils
* #27437: BUG: Allow unsigned shift argument for np.roll
* #27439: BUG: Disable SVE VQSort
* #27471: BUG: rfftn axis bug
* #27479: BUG: Fix extra decref of PyArray_UInt8DType.
* #27480: CI: use PyPI not scientific-python-nightly-wheels for CI doc...
* #27481: MAINT: Check for SVE support on demand
* #27484: BUG: initialize the promotion state to be weak
* #27501: MAINT: Bump pypa/cibuildwheel from 2.20.0 to 2.21.2
* #27506: BUG: avoid segfault on bad arguments in ndarray.__array_function__
OBS-URL: https://build.opensuse.org/request/show/1217132
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=168
- Update to 2.1.0
* Support for Python 3.13.
* Preliminary support for free threaded Python 3.13.
* Support for the array-api 2023.12 standard.
## New functions
* A new function np.unstack(array, axis=...) was added, which
splits an array into a tuple of arrays along an axis. It serves
as the inverse of numpy.stack. (gh-26579)
## Deprecations
* The fix_imports keyword argument in numpy.save is deprecated.
Since NumPy 1.17, numpy.save uses a pickle protocol that no
longer supports Python 2, and ignored fix_imports keyword. This
keyword is kept only for backward compatibility. It is now
deprecated. (gh-26452)
* Passing non-integer inputs as the first argument of bincount is
now deprecated, because such inputs are silently cast to
integers with no warning about loss of precision. (gh-27076)
## Expired deprecations
* Scalars and 0D arrays are disallowed for numpy.nonzero and
numpy.ndarray.nonzero. (gh-26268)
* set_string_function internal function was removed and
PyArray_SetStringFunction was stubbed out. (gh-26611)
## C API changes
* API symbols now hidden but customizable
* Many shims removed from npy_3kcompat.h
* New PyUFuncObject field process_core_dims_func
## New Features
* Preliminary Support for Free-Threaded CPython 3.13
* f2py can generate freethreading-compatible C extensions
## Improvements
* histogram auto-binning now returns bin sizes >=1 for integer
input data
* ndarray shape-type parameter is now covariant and bound to
tuple[int, ...]
* np.quantile with method closest_observation chooses nearest
even order statistic
* lapack_lite is now thread safe
* The numpy.printoptions context manager is now thread and
async-safe
* Type hinting numpy.polynomial
* Improved numpy.dtypes type hints
## Performance improvements and changes
* ma.cov and ma.corrcoef are now significantly faster
## Changes
* ma.corrcoef may return a slightly different result
* Cast-safety fixes in copyto and full
- Release 2.0.1
## Improvements
* np.quantile with method closest_observation chooses nearest
even order statistic
OBS-URL: https://build.opensuse.org/request/show/1198038
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=165
* Adds support for array parameter declaration in fortran...
* Added ``bitwise_count`` UFuncs
* Add binding for random pyx files
* Use AVX512-FP16 SVML content for float16 umath functions
* allow int sequences as shape arguments in numpy.memmap
* Add .mT attribute for arrays
* Create complex scalars from real and imaginary parts
* add copy parameter for api.reshape function
* make use of locals() in a comprehension fully compatible...
* Add array API standard v2022.12 support to numpy.array_api
* Change string to bool conversions to be consistent with...
* Allow np.info on non-hashable objects with a dtype
* let zeros, empty, and empty_like accept dtype classes
* Bump C-ABI to 2 but accept older NumPy if compiled against...
* Use high accuracy SVML for double precision umath functions
* expose PyUFunc_GiveFloatingpointErrors in the dtype API
* PyObject_IsTrue and PyObject_Not error handling in setflags
* array2string does not add signs for positive integers.
* Vectorize np.partition and np.argpartition using AVX-512
* Create helper for conversion to arrays
* Add size check for threaded array assignment
* Finalize ``fastCopyAndTranpose`` and other old C-funcs/members...
* assert_array_less should report max violations instead of...
* Introduce tracer for enabled CPU targets on each optimized...
* Extend np.add ufunc to work with unicode and byte dtypes
* Add find/rfind ufuncs for unicode and byte dtypes
* Make ``intp`` ``ssize_t`` and introduce characters nN
* Add isdigit/isspace/isdecimal/isnumeric ufuncs for string...
* DType API slot for descriptor finalization before array...
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=161
- 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
OBS-URL: https://build.opensuse.org/request/show/1168946
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=155
* 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
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=143
* Change to a non-deprecated function from hypothesis.
* Ignore DeprecationWarning from pkg_resources.
- changes from version 1.22.2 (CVE-2021-41495, bsc#1193911):
* Support Python >= 3.9.8 changes.
- update to 1.21.0 (bsc#1193913, CVE-2021-33430, bsc#1193907,
CVE-2021-41496):
* BUG: Fix failing mypy test in 1.20.x.
* BUG: Fix small issues found with pytest-leaks
* Annotations for NumPy functions. This work is ongoing and
* Wider use of SIMD to increase execution speed of ufuncs. Much
work has been done in introducing universal functions that
will ease use of modern features across different hardware
* Preliminary work in changing the dtype and casting
implementations in order to provide an easier path to
extending dtypes. This work is ongoing but enough has been
* Extensive documentation improvements comprising some 185 PR
merges. This work is ongoing and part of the larger project to
* Further cleanups related to removing Python 2.7. This improves
- Fix hpc for multiflavors (needs gh#openSUSE/hpc#3)
- update to version 1.17.3 (bsc#1149203, jsc#SLE-8532):
when either ``stable`` or ``mergesort`` is passed as the method.
- Update to version 1.16.1 (jsc#SLE-8532, bsc#1149203):
* This Fixes CVE-2019-6446 and obsoletes
* CVE-2019-6446_numpy_load.patch in older dists (bsc#1122208)
- add s390 to the ifarch conditional to build without openblas
Numpy assumes either libblas.so or libcblas.so to contain all CBLAS
and BLAS functions. However the cblas-devel in Leap and Tumbleweed
* gh-5231: fix build in c99 mode
* Numerous performance improvements in various areas, most
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=139
* 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
- 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
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=136
* 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
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=132
- 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
OBS-URL: https://build.opensuse.org/request/show/1099876
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=131
- 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
OBS-URL: https://build.opensuse.org/request/show/1046307
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=112
- 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
- Support builds without any primary python3 package (:backports)
OBS-URL: https://build.opensuse.org/request/show/1043806
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=111
