Scheduled monthly dependency update for February

[pyup-bot]

Update pomegranate from 0.14.9 to 1.0.3.

The bot wasn't able to find a changelog for this release. Got an idea?

Links

• PyPI: https://pypi.org/project/pomegranate
• Repo: https://github.com/jmschrei/torchegranate

Update cython from 0.29.34 to 3.0.8.

Changelog

0.29.37.1

Binary-only release for Py3.12.

Links

• PyPI: https://pypi.org/project/cython
• Changelog: https://data.safetycli.com/changelogs/cython/
• Homepage: https://cython.org/

Update numpy from 1.24.3 to 1.26.3.

Changelog

1.26.3

discovered after the 1.26.2 release. The most notable changes are the
f2py bug fixes. The Python versions supported by this release are
3.9-3.12.

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`.

Contributors

A total of 18 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

-   \DWesl
-   \Illviljan
-   Alexander Grund
-   Andrea Bianchi +
-   Charles Harris
-   Daniel Vanzo
-   Johann Rohwer +
-   Matti Picus
-   Nathan Goldbaum
-   Peter Hawkins
-   Raghuveer Devulapalli
-   Ralf Gommers
-   Rohit Goswami
-   Sayed Adel
-   Sebastian Berg
-   Stefano Rivera +
-   Thomas A Caswell
-   matoro

Pull requests merged

A total of 42 pull requests were merged for this release.

-   [25130](https://github.com/numpy/numpy/pull/25130): MAINT: prepare 1.26.x for further development
-   [25188](https://github.com/numpy/numpy/pull/25188): TYP: add None to `__getitem__` in `numpy.array_api`
-   [25189](https://github.com/numpy/numpy/pull/25189): BLD,BUG: quadmath required where available \[f2py\]
-   [25190](https://github.com/numpy/numpy/pull/25190): BUG: alpha doesn\'t use REAL(10)
-   [25191](https://github.com/numpy/numpy/pull/25191): BUG: Fix FP overflow error in division when the divisor is scalar
-   [25192](https://github.com/numpy/numpy/pull/25192): MAINT: Pin scipy-openblas version.
-   [25201](https://github.com/numpy/numpy/pull/25201): BUG: Fix f2py to enable use of string optional inout argument
-   [25202](https://github.com/numpy/numpy/pull/25202): BUG: Fix -fsanitize=alignment issue in numpy/\_core/src/multiarray/arraytypes.c.src
-   [25203](https://github.com/numpy/numpy/pull/25203): TST: Explicitly pass NumPy path to cython during tests (also\...
-   [25204](https://github.com/numpy/numpy/pull/25204): BUG: fix issues with `newaxis` and `linalg.solve` in `numpy.array_api`
-   [25205](https://github.com/numpy/numpy/pull/25205): BUG: Disallow shadowed modulenames
-   [25217](https://github.com/numpy/numpy/pull/25217): BUG: Handle common blocks with kind specifications from modules
-   [25218](https://github.com/numpy/numpy/pull/25218): BUG: Fix moving compiled executable to root with f2py -c on Windows
-   [25219](https://github.com/numpy/numpy/pull/25219): BUG: Fix single to half-precision conversion on PPC64/VSX3
-   [25227](https://github.com/numpy/numpy/pull/25227): TST: f2py: fix issue in test skip condition
-   [25240](https://github.com/numpy/numpy/pull/25240): Revert \"MAINT: Pin scipy-openblas version.\"
-   [25249](https://github.com/numpy/numpy/pull/25249): MAINT: do not use `long` type
-   [25377](https://github.com/numpy/numpy/pull/25377): TST: PyPy needs another gc.collect on latest versions
-   [25378](https://github.com/numpy/numpy/pull/25378): CI: Install Lapack runtime on Cygwin.
-   [25379](https://github.com/numpy/numpy/pull/25379): MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1
-   [25380](https://github.com/numpy/numpy/pull/25380): BLD: update vendored Meson for AIX shared library fix
-   [25419](https://github.com/numpy/numpy/pull/25419): MAINT: Init `base` in cpu_avx512_kn
-   [25420](https://github.com/numpy/numpy/pull/25420): BUG: Fix failing test_features on SapphireRapids
-   [25422](https://github.com/numpy/numpy/pull/25422): BUG: Fix non-contiguous memory load when ARM/Neon is enabled
-   [25428](https://github.com/numpy/numpy/pull/25428): MAINT,BUG: Never import distutils above 3.12 \[f2py\]
-   [25452](https://github.com/numpy/numpy/pull/25452): MAINT: make the import-time check for old Accelerate more specific
-   [25458](https://github.com/numpy/numpy/pull/25458): BUG: fix macOS version checks for Accelerate support
-   [25465](https://github.com/numpy/numpy/pull/25465): MAINT: Bump actions/setup-node and larsoner/circleci-artifacts-redirector-action
-   [25466](https://github.com/numpy/numpy/pull/25466): BUG: avoid seg fault from OOB access in RandomState.set_state()
-   [25467](https://github.com/numpy/numpy/pull/25467): BUG: Fix two errors related to not checking for failed allocations
-   [25468](https://github.com/numpy/numpy/pull/25468): BUG: Fix regression with `f2py` wrappers when modules and subroutines\...
-   [25475](https://github.com/numpy/numpy/pull/25475): BUG: Fix build issues on SPR
-   [25478](https://github.com/numpy/numpy/pull/25478): BLD: fix uninitialized variable warnings from simd/neon/memory.h
-   [25480](https://github.com/numpy/numpy/pull/25480): BUG: Handle `iso_c_type` mappings more consistently
-   [25481](https://github.com/numpy/numpy/pull/25481): BUG: Fix module name bug in signature files \[urgent\] \[f2py\]
-   [25482](https://github.com/numpy/numpy/pull/25482): BUG: Handle .pyf.src and fix SciPy \[urgent\]
-   [25483](https://github.com/numpy/numpy/pull/25483): DOC: `f2py` rewrite with `meson` details
-   [25485](https://github.com/numpy/numpy/pull/25485): BUG: Add external library handling for meson \[f2py\]
-   [25486](https://github.com/numpy/numpy/pull/25486): MAINT: Run f2py\'s meson backend with the same python that ran\...
-   [25489](https://github.com/numpy/numpy/pull/25489): MAINT: Update `numpy/f2py/_backends` from main.
-   [25490](https://github.com/numpy/numpy/pull/25490): MAINT: Easy updates of `f2py/*.py` from main.
-   [25491](https://github.com/numpy/numpy/pull/25491): MAINT: Update crackfortran.py and f2py2e.py from main

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1.26.2

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
-   \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://github.com/numpy/numpy/pull/24814): MAINT: align test_dispatcher s390x targets with \_umath_tests_mtargets
-   [24929](https://github.com/numpy/numpy/pull/24929): MAINT: prepare 1.26.x for further development
-   [24955](https://github.com/numpy/numpy/pull/24955): ENH: Add Cython enumeration for NPY_FR_GENERIC
-   [24962](https://github.com/numpy/numpy/pull/24962): REL: Remove Python upper version from the release branch
-   [24971](https://github.com/numpy/numpy/pull/24971): BLD: Use the correct Python interpreter when running tempita.py
-   [24972](https://github.com/numpy/numpy/pull/24972): MAINT: Remove unhelpful error replacements from `import_array()`
-   [24977](https://github.com/numpy/numpy/pull/24977): BLD: use classic linker on macOS, the new one in XCode 15 has\...
-   [25003](https://github.com/numpy/numpy/pull/25003): BLD: musllinux_aarch64 \[wheel build\]
-   [25043](https://github.com/numpy/numpy/pull/25043): MAINT: Update mailmap
-   [25049](https://github.com/numpy/numpy/pull/25049): MAINT: Update meson build infrastructure.
-   [25071](https://github.com/numpy/numpy/pull/25071): MAINT: Split up .github/workflows to match main
-   [25083](https://github.com/numpy/numpy/pull/25083): BUG: Backport fix build on ppc64 when the baseline set to Power9\...
-   [25093](https://github.com/numpy/numpy/pull/25093): BLD: Fix features.h detection for Meson builds \[1.26.x Backport\]
-   [25095](https://github.com/numpy/numpy/pull/25095): BUG: Avoid intp conversion regression in Cython 3 (backport)
-   [25107](https://github.com/numpy/numpy/pull/25107): CI: remove obsolete jobs, and move macOS and conda Azure jobs\...
-   [25108](https://github.com/numpy/numpy/pull/25108): CI: Add linux_qemu action and remove travis testing.
-   [25112](https://github.com/numpy/numpy/pull/25112): MAINT: Update .spin/cmds.py from main.
-   [25113](https://github.com/numpy/numpy/pull/25113): DOC: Visually divide main license and bundled licenses in wheels
-   [25115](https://github.com/numpy/numpy/pull/25115): MAINT: Add missing `noexcept` to shuffle helpers
-   [25116](https://github.com/numpy/numpy/pull/25116): DOC: Fix license identifier for OpenBLAS
-   [25117](https://github.com/numpy/numpy/pull/25117): BLD: improve detection of Netlib libblas/libcblas/liblapack
-   [25118](https://github.com/numpy/numpy/pull/25118): MAINT: Make bitfield integers unsigned
-   [25119](https://github.com/numpy/numpy/pull/25119): BUG: Make n a long int for np.random.multinomial
-   [25120](https://github.com/numpy/numpy/pull/25120): BLD: change default of the `allow-noblas` option to true.
-   [25121](https://github.com/numpy/numpy/pull/25121): BUG: ensure passing `np.dtype` to itself doesn\'t crash

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1.26.1

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://github.com/numpy/numpy/pull/24742): MAINT: Update cibuildwheel version
-   [24748](https://github.com/numpy/numpy/pull/24748): MAINT: fix version string in wheels built with setup.py
-   [24771](https://github.com/numpy/numpy/pull/24771): BLD, BUG: Fix build failure for host flags e.g. `-march=native`\...
-   [24773](https://github.com/numpy/numpy/pull/24773): DOC: Updated the f2py docs to remove a note on -fimplicit-none
-   [24776](https://github.com/numpy/numpy/pull/24776): BUG: Fix SIMD f32 trunc test on s390x when baseline is none
-   [24785](https://github.com/numpy/numpy/pull/24785): BLD: add libquadmath to licences and other tweaks (#24753)
-   [24786](https://github.com/numpy/numpy/pull/24786): MAINT: Activate `use-compute-credits` for Cirrus.
-   [24803](https://github.com/numpy/numpy/pull/24803): BLD: updated vendored-meson/meson for mips64 fix
-   [24804](https://github.com/numpy/numpy/pull/24804): MAINT: fix licence path win
-   [24813](https://github.com/numpy/numpy/pull/24813): BUG: Fix order of Windows OS detection macros.
-   [24831](https://github.com/numpy/numpy/pull/24831): BUG, SIMD: use scalar cmul on bad Apple clang x86_64 (#24828)
-   [24840](https://github.com/numpy/numpy/pull/24840): BUG: Fix DATA statements for f2py
-   [24870](https://github.com/numpy/numpy/pull/24870): API: Add `NumpyUnpickler` for backporting
-   [24872](https://github.com/numpy/numpy/pull/24872): MAINT: Xfail test failing on PyPy.
-   [24879](https://github.com/numpy/numpy/pull/24879): BLD: fix math func feature checks, fix FreeBSD build, add CI\...
-   [24899](https://github.com/numpy/numpy/pull/24899): ENH: meson: implement BLAS/LAPACK auto-detection and many CI\...
-   [24902](https://github.com/numpy/numpy/pull/24902): DOC: add a 1.26.1 release notes section for BLAS/LAPACK build\...
-   [24906](https://github.com/numpy/numpy/pull/24906): MAINT: Backport `numpy._core` stubs. Remove `NumpyUnpickler`
-   [24911](https://github.com/numpy/numpy/pull/24911): MAINT: Bump pypa/cibuildwheel from 2.16.1 to 2.16.2
-   [24912](https://github.com/numpy/numpy/pull/24912): BUG: loongarch doesn\'t use REAL(10)

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1.26.0

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

The Python versions supported in this release are 3.9-3.12.

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://github.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 11 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

-   Bas van Beek
-   Charles Harris
-   Matti Picus
-   Melissa Weber Mendonça
-   Ralf Gommers
-   Sayed Adel
-   Sebastian Berg
-   Stefan van der Walt
-   Tyler Reddy
-   Warren Weckesser

Pull requests merged

A total of 18 pull requests were merged for this release.

-   [24305](https://github.com/numpy/numpy/pull/24305): MAINT: Prepare 1.26.x branch for development
-   [24308](https://github.com/numpy/numpy/pull/24308): MAINT: Massive update of files from main for numpy 1.26
-   [24322](https://github.com/numpy/numpy/pull/24322): CI: fix wheel builds on the 1.26.x branch
-   [24326](https://github.com/numpy/numpy/pull/24326): BLD: update openblas to newer version
-   [24327](https://github.com/numpy/numpy/pull/24327): TYP: Trim down the `_NestedSequence.__getitem__` signature
-   [24328](https://github.com/numpy/numpy/pull/24328): BUG: fix choose refcount leak
-   [24337](https://github.com/numpy/numpy/pull/24337): TST: fix running the test suite in builds without BLAS/LAPACK
-   [24338](https://github.com/numpy/numpy/pull/24338): BUG: random: Fix generation of nan by dirichlet.
-   [24340](https://github.com/numpy/numpy/pull/24340): MAINT: Dependabot updates from main
-   [24342](https://github.com/numpy/numpy/pull/24342): MAINT: Add back NPY_RUN_MYPY_IN_TESTSUITE=1
-   [24353](https://github.com/numpy/numpy/pull/24353): MAINT: Update `extbuild.py` from main.
-   [24356](https://github.com/numpy/numpy/pull/24356): TST: fix distutils tests for deprecations in recent setuptools\...
-   [24375](https://github.com/numpy/numpy/pull/24375): MAINT: Update cibuildwheel to version 2.15.0
-   [24381](https://github.com/numpy/numpy/pull/24381): MAINT: Fix codespaces setup.sh script
-   [24403](https://github.com/numpy/numpy/pull/24403): ENH: Vendor meson for multi-target build support
-   [24404](https://github.com/numpy/numpy/pull/24404): BLD: vendor meson-python to make the Windows builds with SIMD\...
-   [24405](https://github.com/numpy/numpy/pull/24405): BLD, SIMD: The meson CPU dispatcher implementation
-   [24406](https://github.com/numpy/numpy/pull/24406): MAINT: Remove versioneer

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1.25.2

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://github.com/numpy/numpy/pull/24148): MAINT: prepare 1.25.x for further development
-   [24174](https://github.com/numpy/numpy/pull/24174): ENH: Improve clang-cl compliance
-   [24179](https://github.com/numpy/numpy/pull/24179): MAINT: Upgrade various build dependencies.
-   [24182](https://github.com/numpy/numpy/pull/24182): BLD: use `-ftrapping-math` with Clang on macOS
-   [24183](https://github.com/numpy/numpy/pull/24183): BUG: properly handle negative indexes in ufunc_at fast path
-   [24184](https://github.com/numpy/numpy/pull/24184): BUG: PyObject_IsTrue and PyObject_Not error handling in setflags
-   [24185](https://github.com/numpy/numpy/pull/24185): BUG: histogram small range robust
-   [24186](https://github.com/numpy/numpy/pull/24186): MAINT: Update meson.build files from main branch
-   [24234](https://github.com/numpy/numpy/pull/24234): MAINT: exclude min, max and round from `np.__all__`
-   [24241](https://github.com/numpy/numpy/pull/24241): MAINT: Dependabot updates
-   [24242](https://github.com/numpy/numpy/pull/24242): BUG: Fix the signature for np.array_api.take
-   [24243](https://github.com/numpy/numpy/pull/24243): BLD: update OpenBLAS to an intermeidate commit
-   [24244](https://github.com/numpy/numpy/pull/24244): BUG: Fix reference count leak in str(scalar).
-   [24245](https://github.com/numpy/numpy/pull/24245): BUG: fix invalid function pointer conversion error
-   [24255](https://github.com/numpy/numpy/pull/24255): BUG: Factor out slow `getenv` call used for memory policy warning
-   [24292](https://github.com/numpy/numpy/pull/24292): CI: correct URL in cirrus.star
-   [24293](https://github.com/numpy/numpy/pull/24293): BUG: Fix C types in scalartypes
-   [24294](https://github.com/numpy/numpy/pull/24294): BUG: do not modify the input to ufunc_at
-   [24295](https://github.com/numpy/numpy/pull/24295): BUG: Further fixes to indexing loop and added tests

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1.25.1

discovered after the 1.25.0 release. The Python versions supported by
this release are 3.9-3.11.

Contributors

A total of 10 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

-   Andrew Nelson
-   Charles Harris
-   Developer-Ecosystem-Engineering
-   Hood Chatham
-   Nathan Goldbaum
-   Rohit Goswami
-   Sebastian Berg
-   Tim Paine +
-   dependabot\[bot\]
-   matoro +

Pull requests merged

A total of 14 pull requests were merged for this release.

-   [23968](https://github.com/numpy/numpy/pull/23968): MAINT: prepare 1.25.x for further development
-   [24036](https://github.com/numpy/numpy/pull/24036): BLD: Port long double identification to C for meson
-   [24037](https://github.com/numpy/numpy/pull/24037): BUG: Fix reduction `return NULL` to be `goto fail`
-   [24038](https://github.com/numpy/numpy/pull/24038): BUG: Avoid undefined behavior in array.astype()
-   [24039](https://github.com/numpy/numpy/pull/24039): BUG: Ensure `__array_ufunc__` works without any kwargs passed
-   [24117](https://github.com/numpy/numpy/pull/24117): MAINT: Pin urllib3 to avoid anaconda-client bug.
-   [24118](https://github.com/numpy/numpy/pull/24118): TST: Pin pydantic\<2 in Pyodide workflow
-   [24119](https://github.com/numpy/numpy/pull/24119): MAINT: Bump pypa/cibuildwheel from 2.13.0 to 2.13.1
-   [24120](https://github.com/numpy/numpy/pull/24120): MAINT: Bump actions/checkout from 3.5.2 to 3.5.3
-   [24122](https://github.com/numpy/numpy/pull/24122): BUG: Multiply or Divides using SIMD without a full vector can\...
-   [24127](https://github.com/numpy/numpy/pull/24127): MAINT: testing for IS_MUSL closes #24074
-   [24128](https://github.com/numpy/numpy/pull/24128): BUG: Only replace dtype temporarily if dimensions changed
-   [24129](https://github.com/numpy/numpy/pull/24129): MAINT: Bump actions/setup-node from 3.6.0 to 3.7.0
-   [24134](https://github.com/numpy/numpy/pull/24134): BUG: Fix private procedures in f2py modules

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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
-   Su

[pyup-bot]

Closing this in favor of #408