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chore(deps): update dependency numpy to v1.26.4 (#11563)
[](https://renovatebot.com)
This PR contains the following updates:
| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
| [numpy](https://numpy.org) ([source](https://togithub.com/numpy/numpy), [changelog](https://numpy.org/doc/stable/release)) | `==1.21.6` -> `==1.26.4` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) |
| [numpy](https://numpy.org) ([source](https://togithub.com/numpy/numpy), [changelog](https://numpy.org/doc/stable/release)) | `==1.24.3` -> `==1.26.4` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) |
---
### Release Notes
<details>
<summary>numpy/numpy (numpy)</summary>
### [`v1.26.4`](https://togithub.com/numpy/numpy/releases/tag/v1.26.4)
[Compare Source](https://togithub.com/numpy/numpy/compare/v1.26.3...v1.26.4)
### NumPy 1.26.4 Release Notes
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.
#### Contributors
A total of 13 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
- Charles Harris
- Elliott Sales de Andrade
- Lucas Colley +
- Mark Ryan +
- Matti Picus
- Nathan Goldbaum
- Ola x Nilsson +
- Pieter Eendebak
- Ralf Gommers
- Sayed Adel
- Sebastian Berg
- Stefan van der Walt
- Stefano Rivera
#### Pull requests merged
A total of 19 pull requests were merged for this release.
- [#​25323](https://togithub.com/numpy/numpy/pull/25323): BUG: Restore missing asstr import
- [#​25523](https://togithub.com/numpy/numpy/pull/25523): MAINT: prepare 1.26.x for further development
- [#​25539](https://togithub.com/numpy/numpy/pull/25539): BUG: `numpy.array_api`: fix `linalg.cholesky` upper decomp...
- [#​25584](https://togithub.com/numpy/numpy/pull/25584): CI: Bump azure pipeline timeout to 120 minutes
- [#​25585](https://togithub.com/numpy/numpy/pull/25585): MAINT, BLD: Fix unused inline functions warnings on clang
- [#​25599](https://togithub.com/numpy/numpy/pull/25599): BLD: include fix for MinGW platform detection
- [#​25618](https://togithub.com/numpy/numpy/pull/25618): TST: Fix test_numeric on riscv64
- [#​25619](https://togithub.com/numpy/numpy/pull/25619): BLD: fix building for windows ARM64
- [#​25620](https://togithub.com/numpy/numpy/pull/25620): MAINT: add `newaxis` to `__all__` in `numpy.array_api`
- [#​25630](https://togithub.com/numpy/numpy/pull/25630): BUG: Use large file fallocate on 32 bit linux platforms
- [#​25643](https://togithub.com/numpy/numpy/pull/25643): TST: Fix test_warning_calls on Python 3.12
- [#​25645](https://togithub.com/numpy/numpy/pull/25645): TST: Bump pytz to 2023.3.post1
- [#​25658](https://togithub.com/numpy/numpy/pull/25658): BUG: Fix AVX512 build flags on Intel Classic Compiler
- [#​25670](https://togithub.com/numpy/numpy/pull/25670): BLD: fix potential issue with escape sequences in `__config__.py`
- [#​25718](https://togithub.com/numpy/numpy/pull/25718): CI: pin cygwin python to 3.9.16-1 and fix typing tests \[skip...
- [#​25720](https://togithub.com/numpy/numpy/pull/25720): MAINT: Bump cibuildwheel to v2.16.4
- [#​25748](https://togithub.com/numpy/numpy/pull/25748): BLD: unvendor meson-python on 1.26.x and upgrade to meson-python...
- [#​25755](https://togithub.com/numpy/numpy/pull/25755): MAINT: Include header defining backtrace
- [#​25756](https://togithub.com/numpy/numpy/pull/25756): BUG: Fix np.quantile(\[Fraction(2,1)], 0.5) ([#​24711](https://togithub.com/numpy/numpy/issues/24711))
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### [`v1.26.3`](https://togithub.com/numpy/numpy/compare/v1.26.2...v1.26.3)
[Compare Source](https://togithub.com/numpy/numpy/compare/v1.26.2...v1.26.3)
### [`v1.26.2`](https://togithub.com/numpy/numpy/releases/tag/v1.26.2): 1.26.2 release
[Compare Source](https://togithub.com/numpy/numpy/compare/v1.26.1...v1.26.2)
### NumPy 1.26.2 Release Notes
NumPy 1.26.2 is a maintenance release that fixes bugs and regressions
discovered after the 1.26.1 release. The 1.26.release series is the last
planned minor release series before NumPy 2.0. The Python versions
supported by this release are 3.9-3.12.
#### Contributors
A total of 13 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
- [@​stefan6419846](https://togithub.com/stefan6419846)
- [@​thalassemia](https://togithub.com/thalassemia) +
- Andrew Nelson
- Charles Bousseau +
- Charles Harris
- Marcel Bargull +
- Mark Mentovai +
- Matti Picus
- Nathan Goldbaum
- Ralf Gommers
- Sayed Adel
- Sebastian Berg
- William Ayd +
#### Pull requests merged
A total of 25 pull requests were merged for this release.
- [#​24814](https://togithub.com/numpy/numpy/pull/24814): MAINT: align test_dispatcher s390x targets with \_umath_tests_mtargets
- [#​24929](https://togithub.com/numpy/numpy/pull/24929): MAINT: prepare 1.26.x for further development
- [#​24955](https://togithub.com/numpy/numpy/pull/24955): ENH: Add Cython enumeration for NPY_FR_GENERIC
- [#​24962](https://togithub.com/numpy/numpy/pull/24962): REL: Remove Python upper version from the release branch
- [#​24971](https://togithub.com/numpy/numpy/pull/24971): BLD: Use the correct Python interpreter when running tempita.py
- [#​24972](https://togithub.com/numpy/numpy/pull/24972): MAINT: Remove unhelpful error replacements from `import_array()`
- [#​24977](https://togithub.com/numpy/numpy/pull/24977): BLD: use classic linker on macOS, the new one in XCode 15 has...
- [#​25003](https://togithub.com/numpy/numpy/pull/25003): BLD: musllinux_aarch64 \[wheel build]
- [#​25043](https://togithub.com/numpy/numpy/pull/25043): MAINT: Update mailmap
- [#​25049](https://togithub.com/numpy/numpy/pull/25049): MAINT: Update meson build infrastructure.
- [#​25071](https://togithub.com/numpy/numpy/pull/25071): MAINT: Split up .github/workflows to match main
- [#​25083](https://togithub.com/numpy/numpy/pull/25083): BUG: Backport fix build on ppc64 when the baseline set to Power9...
- [#​25093](https://togithub.com/numpy/numpy/pull/25093): BLD: Fix features.h detection for Meson builds \[1.26.x Backport]
- [#​25095](https://togithub.com/numpy/numpy/pull/25095): BUG: Avoid intp conversion regression in Cython 3 (backport)
- [#​25107](https://togithub.com/numpy/numpy/pull/25107): CI: remove obsolete jobs, and move macOS and conda Azure jobs...
- [#​25108](https://togithub.com/numpy/numpy/pull/25108): CI: Add linux_qemu action and remove travis testing.
- [#​25112](https://togithub.com/numpy/numpy/pull/25112): MAINT: Update .spin/cmds.py from main.
- [#​25113](https://togithub.com/numpy/numpy/pull/25113): DOC: Visually divide main license and bundled licenses in wheels
- [#​25115](https://togithub.com/numpy/numpy/pull/25115): MAINT: Add missing `noexcept` to shuffle helpers
- [#​25116](https://togithub.com/numpy/numpy/pull/25116): DOC: Fix license identifier for OpenBLAS
- [#​25117](https://togithub.com/numpy/numpy/pull/25117): BLD: improve detection of Netlib libblas/libcblas/liblapack
- [#​25118](https://togithub.com/numpy/numpy/pull/25118): MAINT: Make bitfield integers unsigned
- [#​25119](https://togithub.com/numpy/numpy/pull/25119): BUG: Make n a long int for np.random.multinomial
- [#​25120](https://togithub.com/numpy/numpy/pull/25120): BLD: change default of the `allow-noblas` option to true.
- [#​25121](https://togithub.com/numpy/numpy/pull/25121): BUG: ensure passing `np.dtype` to itself doesn't crash
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### [`v1.26.1`](https://togithub.com/numpy/numpy/releases/tag/v1.26.1)
[Compare Source](https://togithub.com/numpy/numpy/compare/v1.26.0...v1.26.1)
##### NumPy 1.26.1 Release Notes
NumPy 1.26.1 is a maintenance release that fixes bugs and regressions
discovered after the 1.26.0 release. In addition, it adds new
functionality for detecting BLAS and LAPACK when building from source.
Highlights are:
- Improved detection of BLAS and LAPACK libraries for meson builds
- Pickle compatibility with the upcoming NumPy 2.0.
The 1.26.release series is the last planned minor release series before
NumPy 2.0. The Python versions supported by this release are 3.9-3.12.
##### Build system changes
##### Improved BLAS/LAPACK detection and control
Auto-detection for a number of BLAS and LAPACK is now implemented for
Meson. By default, the build system will try to detect MKL, Accelerate
(on macOS >=13.3), OpenBLAS, FlexiBLAS, BLIS and reference BLAS/LAPACK.
Support for MKL was significantly improved, and support for FlexiBLAS
was added.
New command-line flags are available to further control the selection of
the BLAS and LAPACK libraries to build against.
To select a specific library, use the config-settings interface via
`pip` or `pypa/build`. E.g., to select `libblas`/`liblapack`, use:
$ pip install numpy -Csetup-args=-Dblas=blas -Csetup-args=-Dlapack=lapack
$ # OR
$ python -m build . -Csetup-args=-Dblas=blas -Csetup-args=-Dlapack=lapack
This works not only for the libraries named above, but for any library
that Meson is able to detect with the given name through `pkg-config` or
CMake.
Besides `-Dblas` and `-Dlapack`, a number of other new flags are
available to control BLAS/LAPACK selection and behavior:
- `-Dblas-order` and `-Dlapack-order`: a list of library names to
search for in order, overriding the default search order.
- `-Duse-ilp64`: if set to `true`, use ILP64 (64-bit integer) BLAS and
LAPACK. Note that with this release, ILP64 support has been extended
to include MKL and FlexiBLAS. OpenBLAS and Accelerate were supported
in previous releases.
- `-Dallow-noblas`: if set to `true`, allow NumPy to build with its
internal (very slow) fallback routines instead of linking against an
external BLAS/LAPACK library. *The default for this flag may be
changed to \`\`true\`\` in a future 1.26.x release, however for
1.26.1 we'd prefer to keep it as \`\`false\`\` because if failures
to detect an installed library are happening, we'd like a bug
report for that, so we can quickly assess whether the new
auto-detection machinery needs further improvements.*
- `-Dmkl-threading`: to select the threading layer for MKL. There are
four options: `seq`, `iomp`, `gomp` and `tbb`. The default is
`auto`, which selects from those four as appropriate given the
version of MKL selected.
- `-Dblas-symbol-suffix`: manually select the symbol suffix to use for
the library - should only be needed for linking against libraries
built in a non-standard way.
##### New features
##### `numpy._core` submodule stubs
`numpy._core` submodule stubs were added to provide compatibility with
pickled arrays created using NumPy 2.0 when running Numpy 1.26.
##### Contributors
A total of 13 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
- Andrew Nelson
- Anton Prosekin +
- Charles Harris
- Chongyun Lee +
- Ivan A. Melnikov +
- Jake Lishman +
- Mahder Gebremedhin +
- Mateusz Sokół
- Matti Picus
- Munira Alduraibi +
- Ralf Gommers
- Rohit Goswami
- Sayed Adel
##### Pull requests merged
A total of 20 pull requests were merged for this release.
- [#​24742](https://togithub.com/numpy/numpy/pull/24742): MAINT: Update cibuildwheel version
- [#​24748](https://togithub.com/numpy/numpy/pull/24748): MAINT: fix version string in wheels built with setup.py
- [#​24771](https://togithub.com/numpy/numpy/pull/24771): BLD, BUG: Fix build failure for host flags e.g. `-march=native`...
- [#​24773](https://togithub.com/numpy/numpy/pull/24773): DOC: Updated the f2py docs to remove a note on -fimplicit-none
- [#​24776](https://togithub.com/numpy/numpy/pull/24776): BUG: Fix SIMD f32 trunc test on s390x when baseline is none
- [#​24785](https://togithub.com/numpy/numpy/pull/24785): BLD: add libquadmath to licences and other tweaks ([#​24753](https://togithub.com/numpy/numpy/issues/24753))
- [#​24786](https://togithub.com/numpy/numpy/pull/24786): MAINT: Activate `use-compute-credits` for Cirrus.
- [#​24803](https://togithub.com/numpy/numpy/pull/24803): BLD: updated vendored-meson/meson for mips64 fix
- [#​24804](https://togithub.com/numpy/numpy/pull/24804): MAINT: fix licence path win
- [#​24813](https://togithub.com/numpy/numpy/pull/24813): BUG: Fix order of Windows OS detection macros.
- [#​24831](https://togithub.com/numpy/numpy/pull/24831): BUG, SIMD: use scalar cmul on bad Apple clang x86\_64 ([#​24828](https://togithub.com/numpy/numpy/issues/24828))
- [#​24840](https://togithub.com/numpy/numpy/pull/24840): BUG: Fix DATA statements for f2py
- [#​24870](https://togithub.com/numpy/numpy/pull/24870): API: Add `NumpyUnpickler` for backporting
- [#​24872](https://togithub.com/numpy/numpy/pull/24872): MAINT: Xfail test failing on PyPy.
- [#​24879](https://togithub.com/numpy/numpy/pull/24879): BLD: fix math func feature checks, fix FreeBSD build, add CI...
- [#​24899](https://togithub.com/numpy/numpy/pull/24899): ENH: meson: implement BLAS/LAPACK auto-detection and many CI...
- [#​24902](https://togithub.com/numpy/numpy/pull/24902): DOC: add a 1.26.1 release notes section for BLAS/LAPACK build...
- [#​24906](https://togithub.com/numpy/numpy/pull/24906): MAINT: Backport `numpy._core` stubs. Remove `NumpyUnpickler`
- [#​24911](https://togithub.com/numpy/numpy/pull/24911): MAINT: Bump pypa/cibuildwheel from 2.16.1 to 2.16.2
- [#​24912](https://togithub.com/numpy/numpy/pull/24912): BUG: loongarch doesn't use REAL(10)
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c8c6c72d4a9f831f328efb1312642a1cafafaa88981d9ab76368d50d07d93cbe numpy-1.26.1.tar.gz
### [`v1.26.0`](https://togithub.com/numpy/numpy/releases/tag/v1.26.0)
[Compare Source](https://togithub.com/numpy/numpy/compare/v1.25.2...v1.26.0)
### NumPy 1.26.0 Release Notes
The NumPy 1.26.0 release is a continuation of the 1.25.x release cycle
with the addition of Python 3.12.0 support. Python 3.12 dropped
distutils, consequently supporting it required finding a replacement for
the setup.py/distutils based build system NumPy was using. We have
chosen to use the Meson build system instead, and this is the first
NumPy release supporting it. This is also the first release that
supports Cython 3.0 in addition to retaining 0.29.X compatibility.
Supporting those two upgrades was a large project, over 100 files have
been touched in this release. The changelog doesn't capture the full
extent of the work, special thanks to Ralf Gommers, Sayed Adel, Stéfan
van der Walt, and Matti Picus who did much of the work in the main
development branch.
The highlights of this release are:
- Python 3.12.0 support.
- Cython 3.0.0 compatibility.
- Use of the Meson build system
- Updated SIMD support
- f2py fixes, meson and bind(x) support
- Support for the updated Accelerate BLAS/LAPACK library
The Python versions supported in this release are 3.9-3.12.
#### New Features
##### Array API v2022.12 support in `numpy.array_api`
`numpy.array_api` now full supports the
[v2022.12 version](https://data-apis.org/array-api/2022.12) of the array API standard. Note that this does not
yet include the optional `fft` extension in the standard.
([gh-23789](https://togithub.com/numpy/numpy/pull/23789))
##### Support for the updated Accelerate BLAS/LAPACK library
Support for the updated Accelerate BLAS/LAPACK library, including ILP64
(64-bit integer) support, in macOS 13.3 has been added. This brings
arm64 support, and significant performance improvements of up to 10x for
commonly used linear algebra operations. When Accelerate is selected at
build time, the 13.3+ version will automatically be used if available.
([gh-24053](https://togithub.com/numpy/numpy/pull/24053))
##### `meson` backend for `f2py`
`f2py` in compile mode (i.e. `f2py -c`) now accepts the
`--backend meson` option. This is the default option for Python `3.12`
on-wards. Older versions will still default to `--backend distutils`.
To support this in realistic use-cases, in compile mode `f2py` takes a
`--dep` flag one or many times which maps to `dependency()` calls in the
`meson` backend, and does nothing in the `distutils` backend.
There are no changes for users of `f2py` only as a code generator, i.e.
without `-c`.
([gh-24532](https://togithub.com/numpy/numpy/pull/24532))
##### `bind(c)` support for `f2py`
Both functions and subroutines can be annotated with `bind(c)`. `f2py`
will handle both the correct type mapping, and preserve the unique label
for other `C` interfaces.
**Note:** `bind(c, name = 'routine_name_other_than_fortran_routine')` is
not honored by the `f2py` bindings by design, since `bind(c)` with the
`name` is meant to guarantee only the same name in `C` and `Fortran`,
not in `Python` and `Fortran`.
([gh-24555](https://togithub.com/numpy/numpy/pull/24555))
#### Improvements
##### `iso_c_binding` support for `f2py`
Previously, users would have to define their own custom `f2cmap` file to
use type mappings defined by the Fortran2003 `iso_c_binding` intrinsic
module. These type maps are now natively supported by `f2py`
([gh-24555](https://togithub.com/numpy/numpy/pull/24555))
#### Build system changes
In this release, NumPy has switched to Meson as the build system and
meson-python as the build backend. Installing NumPy or building a wheel
can be done with standard tools like `pip` and `pypa/build`. The
following are supported:
- Regular installs: `pip install numpy` or (in a cloned repo)
`pip install .`
- Building a wheel: `python -m build` (preferred), or `pip wheel .`
- Editable installs: `pip install -e . --no-build-isolation`
- Development builds through the custom CLI implemented with
[spin](https://togithub.com/scientific-python/spin): `spin build`.
All the regular `pip` and `pypa/build` flags (e.g.,
`--no-build-isolation`) should work as expected.
##### NumPy-specific build customization
Many of the NumPy-specific ways of customizing builds have changed. The
`NPY_*` environment variables which control BLAS/LAPACK, SIMD,
threading, and other such options are no longer supported, nor is a
`site.cfg` file to select BLAS and LAPACK. Instead, there are
command-line flags that can be passed to the build via `pip`/`build`'s
config-settings interface. These flags are all listed in the
`meson_options.txt` file in the root of the repo. Detailed documented
will be available before the final 1.26.0 release; for now please see
[the SciPy "building from source" docs](http://scipy.github.io/devdocs/building/index.html)
since most build customization works in an almost identical way in SciPy as it
does in NumPy.
##### Build dependencies
While the runtime dependencies of NumPy have not changed, the build
dependencies have. Because we temporarily vendor Meson and meson-python,
there are several new dependencies - please see the `[build-system]`
section of `pyproject.toml` for details.
##### Troubleshooting
This build system change is quite large. In case of unexpected issues,
it is still possible to use a `setup.py`-based build as a temporary
workaround (on Python 3.9-3.11, not 3.12), by copying
`pyproject.toml.setuppy` to `pyproject.toml`. However, please open an
issue with details on the NumPy issue tracker. We aim to phase out
`setup.py` builds as soon as possible, and therefore would like to see
all potential blockers surfaced early on in the 1.26.0 release cycle.
#### Contributors
A total of 20 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
- [@​DWesl](https://togithub.com/DWesl)
- Albert Steppi +
- Bas van Beek
- Charles Harris
- Developer-Ecosystem-Engineering
- Filipe Laíns +
- Jake Vanderplas
- Liang Yan +
- Marten van Kerkwijk
- Matti Picus
- Melissa Weber Mendonça
- Namami Shanker
- Nathan Goldbaum
- Ralf Gommers
- Rohit Goswami
- Sayed Adel
- Sebastian Berg
- Stefan van der Walt
- Tyler Reddy
- Warren Weckesser
#### Pull requests merged
A total of 59 pull requests were merged for this release.
- [#​24305](https://togithub.com/numpy/numpy/pull/24305): MAINT: Prepare 1.26.x branch for development
- [#​24308](https://togithub.com/numpy/numpy/pull/24308): MAINT: Massive update of files from main for numpy 1.26
- [#​24322](https://togithub.com/numpy/numpy/pull/24322): CI: fix wheel builds on the 1.26.x branch
- [#​24326](https://togithub.com/numpy/numpy/pull/24326): BLD: update openblas to newer version
- [#​24327](https://togithub.com/numpy/numpy/pull/24327): TYP: Trim down the `_NestedSequence.__getitem__` signature
- [#​24328](https://togithub.com/numpy/numpy/pull/24328): BUG: fix choose refcount leak
- [#​24337](https://togithub.com/numpy/numpy/pull/24337): TST: fix running the test suite in builds without BLAS/LAPACK
- [#​24338](https://togithub.com/numpy/numpy/pull/24338): BUG: random: Fix generation of nan by dirichlet.
- [#​24340](https://togithub.com/numpy/numpy/pull/24340): MAINT: Dependabot updates from main
- [#​24342](https://togithub.com/numpy/numpy/pull/24342): MAINT: Add back NPY_RUN_MYPY_IN_TESTSUITE=1
- [#​24353](https://togithub.com/numpy/numpy/pull/24353): MAINT: Update `extbuild.py` from main.
- [#​24356](https://togithub.com/numpy/numpy/pull/24356): TST: fix distutils tests for deprecations in recent setuptools...
- [#​24375](https://togithub.com/numpy/numpy/pull/24375): MAINT: Update cibuildwheel to version 2.15.0
- [#​24381](https://togithub.com/numpy/numpy/pull/24381): MAINT: Fix codespaces setup.sh script
- [#​24403](https://togithub.com/numpy/numpy/pull/24403): ENH: Vendor meson for multi-target build support
- [#​24404](https://togithub.com/numpy/numpy/pull/24404): BLD: vendor meson-python to make the Windows builds with SIMD...
- [#​24405](https://togithub.com/numpy/numpy/pull/24405): BLD, SIMD: The meson CPU dispatcher implementation
- [#​24406](https://togithub.com/numpy/numpy/pull/24406): MAINT: Remove versioneer
- [#​24409](https://togithub.com/numpy/numpy/pull/24409): REL: Prepare for the NumPy 1.26.0b1 release.
- [#​24453](https://togithub.com/numpy/numpy/pull/24453): MAINT: Pin upper version of sphinx.
- [#​24455](https://togithub.com/numpy/numpy/pull/24455): ENH: Add prefix to \_ALIGN Macro
- [#​24456](https://togithub.com/numpy/numpy/pull/24456): BUG: cleanup warnings
- [#​24460](https://togithub.com/numpy/numpy/pull/24460): MAINT: Upgrade to spin 0.5
- [#​24495](https://togithub.com/numpy/numpy/pull/24495): BUG: `asv dev` has been removed, use `asv run`.
- [#​24496](https://togithub.com/numpy/numpy/pull/24496): BUG: Fix meson build failure due to unchanged inplace auto-generated...
- [#​24521](https://togithub.com/numpy/numpy/pull/24521): BUG: fix issue with git-version script, needs a shebang to run
- [#​24522](https://togithub.com/numpy/numpy/pull/24522): BUG: Use a default assignment for git_hash
- [#​24524](https://togithub.com/numpy/numpy/pull/24524): BUG: fix NPY_cast_info error handling in choose
- [#​24526](https://togithub.com/numpy/numpy/pull/24526): BUG: Fix common block handling in f2py
- [#​24541](https://togithub.com/numpy/numpy/pull/24541): CI,TYP: Bump mypy to 1.4.1
- [#​24542](https://togithub.com/numpy/numpy/pull/24542): BUG: Fix assumed length f2py regression
- [#​24544](https://togithub.com/numpy/numpy/pull/24544): MAINT: Harmonize fortranobject
- [#​24545](https://togithub.com/numpy/numpy/pull/24545): TYP: add kind argument to numpy.isin type specification
- [#​24561](https://togithub.com/numpy/numpy/pull/24561): BUG: fix comparisons between masked and unmasked structured arrays
- [#​24590](https://togithub.com/numpy/numpy/pull/24590): CI: Exclude import libraries from list of DLLs on Cygwin.
- [#​24591](https://togithub.com/numpy/numpy/pull/24591): BLD: fix `_umath_linalg` dependencies
- [#​24594](https://togithub.com/numpy/numpy/pull/24594): MAINT: Stop testing on ppc64le.
- [#​24602](https://togithub.com/numpy/numpy/pull/24602): BLD: meson-cpu: fix SIMD support on platforms with no features
- [#​24606](https://togithub.com/numpy/numpy/pull/24606): BUG: Change Cython `binding` directive to "False".
- [#​24613](https://togithub.com/numpy/numpy/pull/24613): ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including...
- [#​24614](https://togithub.com/numpy/numpy/pull/24614): DOC: Update building docs to use Meson
- [#​24615](https://togithub.com/numpy/numpy/pull/24615): TYP: Add the missing `casting` keyword to `np.clip`
- [#​24616](https://togithub.com/numpy/numpy/pull/24616): TST: convert cython test from setup.py to meson
- [#​24617](https://togithub.com/numpy/numpy/pull/24617): MAINT: Fixup `fromnumeric.pyi`
- [#​24622](https://togithub.com/numpy/numpy/pull/24622): BUG, ENH: Fix `iso_c_binding` type maps and fix `bind(c)`...
- [#​24629](https://togithub.com/numpy/numpy/pull/24629): TYP: Allow `binary_repr` to accept any object implementing...
- [#​24630](https://togithub.com/numpy/numpy/pull/24630): TYP: Explicitly declare `dtype` and `generic` hashable
- [#​24637](https://togithub.com/numpy/numpy/pull/24637): ENH: Refactor the typing "reveal" tests using `typing.assert_type`
- [#​24638](https://togithub.com/numpy/numpy/pull/24638): MAINT: Bump actions/checkout from 3.6.0 to 4.0.0
- [#​24647](https://togithub.com/numpy/numpy/pull/24647): ENH: `meson` backend for `f2py`
- [#​24648](https://togithub.com/numpy/numpy/pull/24648): MAINT: Refactor partial load Workaround for Clang
- [#​24653](https://togithub.com/numpy/numpy/pull/24653): REL: Prepare for the NumPy 1.26.0rc1 release.
- [#​24659](https://togithub.com/numpy/numpy/pull/24659): BLD: allow specifying the long double format to avoid the runtime...
- [#​24665](https://togithub.com/numpy/numpy/pull/24665): BLD: fix bug in random.mtrand extension, don't link libnpyrandom
- [#​24675](https://togithub.com/numpy/numpy/pull/24675): BLD: build wheels for 32-bit Python on Windows, using MSVC
- [#​24700](https://togithub.com/numpy/numpy/pull/24700): BLD: fix issue with compiler selection during cross compilation
- [#​24701](https://togithub.com/numpy/numpy/pull/24701): BUG: Fix data stmt handling for complex values in f2py
- [#​24707](https://togithub.com/numpy/numpy/pull/24707): TYP: Add annotations for the py3.12 buffer protocol
- [#​24718](https://togithub.com/numpy/numpy/pull/24718): DOC: fix a few doc build issues on 1.26.x and update `spin docs`...
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### [`v1.25.2`](https://togithub.com/numpy/numpy/releases/tag/v1.25.2)
[Compare Source](https://togithub.com/numpy/numpy/compare/v1.25.1...v1.25.2)
### NumPy 1.25.2 Release Notes
NumPy 1.25.2 is a maintenance release that fixes bugs and regressions
discovered after the 1.25.1 release. This is the last planned release in
the 1.25.x series, the next release will be 1.26.0, which will use the
meson build system and support Python 3.12. The Python versions
supported by this release are 3.9-3.11.
#### Contributors
A total of 13 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
- Aaron Meurer
- Andrew Nelson
- Charles Harris
- Kevin Sheppard
- Matti Picus
- Nathan Goldbaum
- Peter Hawkins
- Ralf Gommers
- Randy Eckenrode +
- Sam James +
- Sebastian Berg
- Tyler Reddy
- dependabot\[bot]
#### Pull requests merged
A total of 19 pull requests were merged for this release.
- [#​24148](https://togithub.com/numpy/numpy/pull/24148): MAINT: prepare 1.25.x for further development
- [#​24174](https://togithub.com/numpy/numpy/pull/24174): ENH: Improve clang-cl compliance
- [#​24179](https://togithub.com/numpy/numpy/pull/24179): MAINT: Upgrade various build dependencies.
- [#​24182](https://togithub.com/numpy/numpy/pull/24182): BLD: use `-ftrapping-math` with Clang on macOS
- [#​24183](https://togithub.com/numpy/numpy/pull/24183): BUG: properly handle negative indexes in ufunc_at fast path
- [#​24184](https://togithub.com/numpy/numpy/pull/24184): BUG: PyObject_IsTrue and PyObject_Not error handling in setflags
- [#​24185](https://togithub.com/numpy/numpy/pull/24185): BUG: histogram small range robust
- [#​24186](https://togithub.com/numpy/numpy/pull/24186): MAINT: Update meson.build files from main branch
- [#​24234](https://togithub.com/numpy/n
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