Numpy

the 1.22.3 release. In addition, the wheels for this release are built
using the recently released Cython 0.29.30, which should fix the
reported problems with
[debugging](https://github.com/numpy/numpy/issues/21008).

The Python versions supported for this release are 3.8-3.10. Note that
the Mac wheels are now based on OS X 10.15 rather than 10.6 that was
used in previous NumPy release cycles.

Contributors

A total of 12 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

- Alexander Shadchin
- Bas van Beek
- Charles Harris
- Hood Chatham
- Jarrod Millman
- John-Mark Gurney +
- Junyan Ou +
- Mariusz Felisiak +
- Ross Barnowski
- Sebastian Berg
- Serge Guelton
- Stefan van der Walt

Pull requests merged

A total of 22 pull requests were merged for this release.

- [21191](https://github.com/numpy/numpy/pull/21191): TYP, BUG: Fix `np.lib.stride_tricks` re-exported under the\...
- [21192](https://github.com/numpy/numpy/pull/21192): TST: Bump mypy from 0.931 to 0.940
- [21243](https://github.com/numpy/numpy/pull/21243): MAINT: Explicitly re-export the types in `numpy._typing`
- [21245](https://github.com/numpy/numpy/pull/21245): MAINT: Specify sphinx, numpydoc versions for CI doc builds
- [21275](https://github.com/numpy/numpy/pull/21275): BUG: Fix typos
- [21277](https://github.com/numpy/numpy/pull/21277): ENH, BLD: Fix math feature detection for wasm
- [21350](https://github.com/numpy/numpy/pull/21350): MAINT: Fix failing simd and cygwin tests.
- [21438](https://github.com/numpy/numpy/pull/21438): MAINT: Fix failing Python 3.8 32-bit Windows test.
- [21444](https://github.com/numpy/numpy/pull/21444): BUG: add linux guard per #21386
- [21445](https://github.com/numpy/numpy/pull/21445): BUG: Allow legacy dtypes to cast to datetime again
- [21446](https://github.com/numpy/numpy/pull/21446): BUG: Make mmap handling safer in frombuffer
- [21447](https://github.com/numpy/numpy/pull/21447): BUG: Stop using PyBytesObject.ob_shash deprecated in Python 3.11.
- [21448](https://github.com/numpy/numpy/pull/21448): ENH: Introduce numpy.core.setup_common.NPY_CXX_FLAGS
- [21472](https://github.com/numpy/numpy/pull/21472): BUG: Ensure compile errors are raised correclty
- [21473](https://github.com/numpy/numpy/pull/21473): BUG: Fix segmentation fault
- [21474](https://github.com/numpy/numpy/pull/21474): MAINT: Update doc requirements
- [21475](https://github.com/numpy/numpy/pull/21475): MAINT: Mark `npy_memchr` with `no_sanitize("alignment")` on clang
- [21512](https://github.com/numpy/numpy/pull/21512): DOC: Proposal - make the doc landing page cards more similar\...
- [21525](https://github.com/numpy/numpy/pull/21525): MAINT: Update Cython version to 0.29.30.
- [21536](https://github.com/numpy/numpy/pull/21536): BUG: Fix GCC error during build configuration
- [21541](https://github.com/numpy/numpy/pull/21541): REL: Prepare for the NumPy 1.22.4 release.
- [21547](https://github.com/numpy/numpy/pull/21547): MAINT: Skip tests that fail on PyPy.

Checksums

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SHA256

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the 1.22.2 release. The most noticeable fixes may be those for DLPack.
One that may cause some problems is disallowing strings as inputs to
logical ufuncs. It is still undecided how strings should be treated in
those functions and it was thought best to simply disallow them until a
decision was reached. That should not cause problems with older code.

The Python versions supported for this release are 3.8-3.10. Note that
the Mac wheels are now based on OS X 10.14 rather than 10.9 that was
used in previous NumPy release cycles. 10.14 is the oldest release
supported by Apple.

Contributors

A total of 9 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

- \GalaxySnail +
- Alexandre de Siqueira
- Bas van Beek
- Charles Harris
- Melissa Weber Mendonça
- Ross Barnowski
- Sebastian Berg
- Tirth Patel
- Matthieu Darbois

Pull requests merged

A total of 10 pull requests were merged for this release.

- [21048](https://github.com/numpy/numpy/pull/21048): MAINT: Use \"3.10\" instead of \"3.10-dev\" on travis.
- [21106](https://github.com/numpy/numpy/pull/21106): TYP,MAINT: Explicitly allow sequences of array-likes in `np.concatenate`
- [21137](https://github.com/numpy/numpy/pull/21137): BLD,DOC: skip broken ipython 8.1.0
- [21138](https://github.com/numpy/numpy/pull/21138): BUG, ENH: np.\_from_dlpack: export correct device information
- [21139](https://github.com/numpy/numpy/pull/21139): BUG: Fix numba DUFuncs added loops getting picked up
- [21140](https://github.com/numpy/numpy/pull/21140): BUG: Fix unpickling an empty ndarray with a non-zero dimension\...
- [21141](https://github.com/numpy/numpy/pull/21141): BUG: use ThreadPoolExecutor instead of ThreadPool
- [21142](https://github.com/numpy/numpy/pull/21142): API: Disallow strings in logical ufuncs
- [21143](https://github.com/numpy/numpy/pull/21143): MAINT, DOC: Fix SciPy intersphinx link
- [21148](https://github.com/numpy/numpy/pull/21148): BUG,ENH: np.\_from_dlpack: export arrays with any strided size-1\...

Checksums

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The NumPy 1.22.2 is maintenance release that fixes bugs discovered after
the 1.22.1 release. Notable fixes are:

- Several build related fixes for downstream projects and other
platforms.
- Various Annotation fixes/additions.
- Numpy wheels for Windows will use the 1.41 tool chain, fixing
downstream link problems for projects using NumPy provided libraries
on Windows.
- Deal with CVE-2021-41495 complaint.

The Python versions supported for this release are 3.8-3.10.

Contributors

A total of 14 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

- Andrew J. Hesford +
- Bas van Beek
- Brénainn Woodsend +
- Charles Harris
- Hood Chatham
- Janus Heide +
- Leo Singer
- Matti Picus
- Mukulika Pahari
- Niyas Sait
- Pearu Peterson
- Ralf Gommers
- Sebastian Berg
- Serge Guelton

Pull requests merged

A total of 21 pull requests were merged for this release.

- [20842](https://github.com/numpy/numpy/pull/20842): BLD: Add NPY_DISABLE_SVML env var to opt out of SVML
- [20843](https://github.com/numpy/numpy/pull/20843): BUG: Fix build of third party extensions with Py_LIMITED_API
- [20844](https://github.com/numpy/numpy/pull/20844): TYP: Fix pyright being unable to infer the `real` and `imag`\...
- [20845](https://github.com/numpy/numpy/pull/20845): BUG: Fix comparator function signatures
- [20906](https://github.com/numpy/numpy/pull/20906): BUG: Avoid importing `numpy.distutils` on import numpy.testing
- [20907](https://github.com/numpy/numpy/pull/20907): MAINT: remove outdated mingw32 fseek support
- [20908](https://github.com/numpy/numpy/pull/20908): TYP: Relax the return type of `np.vectorize`
- [20909](https://github.com/numpy/numpy/pull/20909): BUG: fix f2py\'s define for threading when building with Mingw
- [20910](https://github.com/numpy/numpy/pull/20910): BUG: distutils: fix building mixed C/Fortran extensions
- [20912](https://github.com/numpy/numpy/pull/20912): DOC,TST: Fix Pandas code example as per new release
- [20935](https://github.com/numpy/numpy/pull/20935): TYP, MAINT: Add annotations for `flatiter.__setitem__`
- [20936](https://github.com/numpy/numpy/pull/20936): MAINT, TYP: Added missing where typehints in `fromnumeric.pyi`
- [20937](https://github.com/numpy/numpy/pull/20937): BUG: Fix build_ext interaction with non numpy extensions
- [20938](https://github.com/numpy/numpy/pull/20938): BUG: Fix missing intrinsics for windows/arm64 target
- [20945](https://github.com/numpy/numpy/pull/20945): REL: Prepare for the NumPy 1.22.2 release.
- [20982](https://github.com/numpy/numpy/pull/20982): MAINT: f2py: don\'t generate code that triggers `-Wsometimes-uninitialized`.
- [20983](https://github.com/numpy/numpy/pull/20983): BUG: Fix incorrect return type in reduce without initial value
- [20984](https://github.com/numpy/numpy/pull/20984): ENH: review return values for PyArray_DescrNew
- [20985](https://github.com/numpy/numpy/pull/20985): MAINT: be more tolerant of setuptools >= 60
- [20986](https://github.com/numpy/numpy/pull/20986): BUG: Fix misplaced return.
- [20992](https://github.com/numpy/numpy/pull/20992): MAINT: Further small return value validation fixes

Checksums

MD5

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The NumPy 1.22.1 is maintenance release that fixes bugs discovered after
the 1.22.0 release. Notable fixes are:

- Fix f2PY docstring problems (SciPy)
- Fix reduction type problems (AstroPy)
- Fix various typing bugs.

The Python versions supported for this release are 3.8-3.10.

Contributors

A total of 14 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

- Arryan Singh
- Bas van Beek
- Charles Harris
- Denis Laxalde
- Isuru Fernando
- Kevin Sheppard
- Matthew Barber
- Matti Picus
- Melissa Weber Mendonça
- Mukulika Pahari
- Omid Rajaei +
- Pearu Peterson
- Ralf Gommers
- Sebastian Berg

Pull requests merged

A total of 20 pull requests were merged for this release.

- [20702](https://github.com/numpy/numpy/pull/20702): MAINT, DOC: Post 1.22.0 release fixes.
- [20703](https://github.com/numpy/numpy/pull/20703): DOC, BUG: Use pngs instead of svgs.
- [20704](https://github.com/numpy/numpy/pull/20704): DOC: Fixed the link on user-guide landing page
- [20714](https://github.com/numpy/numpy/pull/20714): BUG: Restore vc141 support
- [20724](https://github.com/numpy/numpy/pull/20724): BUG: Fix array dimensions solver for multidimensional arguments\...
- [20725](https://github.com/numpy/numpy/pull/20725): TYP: change type annotation for `__array_namespace__` to ModuleType
- [20726](https://github.com/numpy/numpy/pull/20726): TYP, MAINT: Allow `ndindex` to accept integer tuples
- [20757](https://github.com/numpy/numpy/pull/20757): BUG: Relax dtype identity check in reductions
- [20763](https://github.com/numpy/numpy/pull/20763): TYP: Allow time manipulation functions to accept `date` and `timedelta`\...
- [20768](https://github.com/numpy/numpy/pull/20768): TYP: Relax the type of `ndarray.__array_finalize__`
- [20795](https://github.com/numpy/numpy/pull/20795): MAINT: Raise RuntimeError if setuptools version is too recent.
- [20796](https://github.com/numpy/numpy/pull/20796): BUG, DOC: Fixes SciPy docs build warnings
- [20797](https://github.com/numpy/numpy/pull/20797): DOC: fix OpenBLAS version in release note
- [20798](https://github.com/numpy/numpy/pull/20798): PERF: Optimize array check for bounded 0,1 values
- [20805](https://github.com/numpy/numpy/pull/20805): BUG: Fix that reduce-likes honor out always (and live in the\...
- [20806](https://github.com/numpy/numpy/pull/20806): BUG: `array_api.argsort(descending=True)` respects relative\...
- [20807](https://github.com/numpy/numpy/pull/20807): BUG: Allow integer inputs for pow-related functions in `array_api`
- [20814](https://github.com/numpy/numpy/pull/20814): DOC: Refer to NumPy, not pandas, in main page
- [20815](https://github.com/numpy/numpy/pull/20815): DOC: Update Copyright to 2022 \[License\]
- [20819](https://github.com/numpy/numpy/pull/20819): BUG: Return correctly shaped inverse indices in array_api set\...

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spread over 575 pull requests. There have been many improvements,
highlights are:

- Annotations of the main namespace are essentially complete. Upstream
is a moving target, so there will likely be further improvements,
but the major work is done. This is probably the most user visible
enhancement in this release.
- A preliminary version of the proposed Array-API is provided. This is
a step in creating a standard collection of functions that can be
used across application such as CuPy and JAX.
- NumPy now has a DLPack backend. DLPack provides a common interchange
format for array (tensor) data.
- New methods for `quantile`, `percentile`, and related functions. The
new methods provide a complete set of the methods commonly found in
the literature.
- A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for
commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7
has been dropped. Note that 32 bit wheels are only provided for Python