8000 Merge pull request #23966 from charris/prepare-1.25.0-release · rbavery/numpy@db4f439 · GitHub
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Merge pull request numpy#23966 from charris/prepare-1.25.0-release
REL: Prepare for the NumPy 1.25.0 release
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‎.mailmap

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# This file is up-to-date if the command git log --format="%aN <%aE>" | sort -u
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# gives no duplicates.
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@partev <petrosyan@gmail.com>
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@pierreloicq <pierreloicq@gmail.com>
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@pkubaj <pkubaj@FreeBSD.org>
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@pmvz <pmvz_github@outlook.com>
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@tajbinjohn <tajbinjohn@gmail.com>
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@amagicmuffin <2014wcheng@gmail.com>
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@8bitmp3 <19637339+8bitmp3@users.noreply.github.com>
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@dg3192 <113710955+dg3192@users.noreply.github.com>
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@DWesl <22566757+DWesl@users.noreply.github.com>
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@Endolith <endolith@gmail.com>
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@Illviljan <14371165+Illviljan@users.noreply.github.com>
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@juztamau5 <juztamau5@gmail.com>
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@LSchroefl <65246829+LSchroefl@users.noreply.github.com>
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@Lbogula <bogulala7@gmail.com>
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@Lisa <34400837+lyzlisa@users.noreply.github.com>
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@Patrick <39380924+xamm@users.noreply.github.com>
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@Scian <65375075+hoony6134@users.noreply.github.com>
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@amagicmuffin <2014wcheng@gmail.com>
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@code-review-doctor <contact+django-doctor-test@richardtier.co.uk>
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@partev <petrosyan@gmail.com>
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@spacescientist <aspacescientist@protonmail.com> <spacescientist@pm.me>
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‎doc/changelog/1.25.0-changelog.rst

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Contributors
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============
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A total of 145 people contributed to this release. People with a "+" by their
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A total of 148 people contributed to this release. People with a "+" by their
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names contributed a patch for the first time.
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* @DWesl
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* @partev +
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* @pierreloicq +
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* @pkubaj +
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* @pmvz +
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* @pratiklp00 +
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* @tajbinjohn +
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* A Chethan Reddy +
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* Aaron Meurer
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* Berke Kocaoğlu +
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* Bob Eldering
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* Brian Soto
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* Brian Walshe +
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* Brock Mendel
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* Charles Harris
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* Charles Young +
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* Paulo Almeida +
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* Pedro Lameiras +
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* Peter Hawkins
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* Pey Lian Lim
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* Peyton Murray +
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* Philip Holzmann +
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* Pierre Blanchard +
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Pull requests merged
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====================
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A total of 511 pull requests were merged for this release.
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A total of 530 pull requests were merged for this release.
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* `#10615 <https://github.com/numpy/numpy/pull/10615>`__: DEP: deprecate scalar conversions for arrays with ndim > 0
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* `#16604 <https://github.com/numpy/numpy/pull/16604>`__: BUG: SWIG overloaded long functions on pyfragments.swg will seg...
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* `#23794 <https://github.com/numpy/numpy/pull/23794>`__: API: add aliases for object and void dtype classes to dtype API
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* `#23797 <https://github.com/numpy/numpy/pull/23797>`__: TST: adjust tests for cython3, pypy
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* `#23802 <https://github.com/numpy/numpy/pull/23802>`__: MAINT: Bump actions/setup-python from 4.6.0 to 4.6.1
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* `#23840 <https://github.com/numpy/numpy/pull/23840>`__: REL: Prepare for the NumPy 1.25.0rc1 release
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* `#23872 <https://github.com/numpy/numpy/pull/23872>`__: DOC: Try to clarify the `NPY_TARGET_VERSION` release note
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* `#23875 <https://github.com/numpy/numpy/pull/23875>`__: MAINT: Update ``download-wheels``.
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* `#23876 <https://github.com/numpy/numpy/pull/23876>`__: NEP: Fix NEP 53 file format and minor formatting issue
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* `#23877 <https://github.com/numpy/numpy/pull/23877>`__: DOC: update distutils migration guide
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* `#23882 <https://github.com/numpy/numpy/pull/23882>`__: TST: Add tests for np.argsort (#23846)
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* `#23888 <https://github.com/numpy/numpy/pull/23888>`__: TYP,DOC: Annotate and document the ``metadata`` parameter of...
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* `#23905 <https://github.com/numpy/numpy/pull/23905>`__: MAINT: Use ``--allow-downgrade`` option for rtools.
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* `#23932 <https://github.com/numpy/numpy/pull/23932>`__: BUG: Allow np.info on non-hashable objects with a dtype
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* `#23933 <https://github.com/numpy/numpy/pull/23933>`__: MAINT: Disable SIMD version of float64 sin and cos
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* `#23945 <https://github.com/numpy/numpy/pull/23945>`__: BUG: Fixup for win64 fwrite issue
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* `#23946 <https://github.com/numpy/numpy/pull/23946>`__: BUG: Fix NpyIter cleanup in einsum error path
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* `#23948 <https://github.com/numpy/numpy/pull/23948>`__: DOC: Update required C++ version in building.rst (and copy-edit).
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* `#23949 <https://github.com/numpy/numpy/pull/23949>`__: BUG:Fix for call to 'vec_st' is ambiguous
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* `#23951 <https://github.com/numpy/numpy/pull/23951>`__: MAINT: Upgrade install-rtools version
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* `#23955 <https://github.com/numpy/numpy/pull/23955>`__: ENH: Add array API standard v2022.12 support to numpy.array_api
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* `#23956 <https://github.com/numpy/numpy/pull/23956>`__: BUG: Fix AVX2 intrinsic npyv_store2_till_s64 on MSVC > 19.29
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* `#23957 <https://github.com/numpy/numpy/pull/23957>`__: ENH: add copy parameter for api.reshape function
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* `#23963 <https://github.com/numpy/numpy/pull/23963>`__: TEST: change subprocess call to capture stderr too

‎doc/source/release/1.25.0-notes.rst

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- Object arrays are now supported in einsum
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- Support for inplace matrix multiplication (``@=``).
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We will be releasing a NumPy 1.26 when Python 12 comes out. That is needed
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because distutils has been dropped by Python 12 and we will be switching to using
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We will be releasing a NumPy 1.26 when Python 3.12 comes out. That is needed
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because distutils has been dropped by Python 3.12 and we will be switching to using
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meson for future builds. The next mainline release will be NumPy 2.0.0. We plan
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that the 2.0 series will still support downstream projects built against earlier
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versions of NumPy.
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Performance improvements and changes
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====================================
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Faster ``np.argsort`` on AVX-512 enabled processors
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---------------------------------------------------
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32-bit and 64-bit quicksort algorithm for np.argsort gain up to 6x speed up on
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processors that support AVX-512 instruction set.
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Thanks to `Intel corporation <https://open.intel.com/>`_ for sponsoring this
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work.
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(`gh-23707 <https://github.com/numpy/numpy/pull/23707>`__)
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Faster ``np.sort`` on AVX-512 enabled processors
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Quicksort for 16-bit and 64-bit dtypes gain up to 15x and 9x speed up on

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