- Use %pyproject_wheel and %pyproject_install macros
- Disable broken tests in armv7l (bsc#1212710)
- limit to Cython < 3
- 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
- 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