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: BUG: Restore missing asstr import
• #25523: MAINT: prepare 1.26.x for further development
• #25539: BUG: numpy.array_api: fix linalg.cholesky upper decomp...
• #25584: CI: Bump azure pipeline timeout to 120 minutes
• #25585: MAINT, BLD: Fix unused inline functions warnings on clang
• #25599: BLD: include fix for MinGW platform detection
• #25618: TST: Fix test_numeric on riscv64
• #25619: BLD: fix building for windows ARM64
• #25620: MAINT: add newaxis to __all__ in numpy.array_api
• #25630: BUG: Use large file fallocate on 32 bit linux platforms
• #25643: TST: Fix test_warning_calls on Python 3.12
• #25645: TST: Bump pytz to 2023.3.post1
• #25658: BUG: Fix AVX512 build flags on Intel Classic Compiler
• #25670: BLD: fix potential issue with escape sequences in __config__.py
• #25718: CI: pin cygwin python to 3.9.16-1 and fix typing tests [skip...
• #25720: MAINT: Bump cibuildwheel to v2.16.4
• #25748: BLD: unvendor meson-python on 1.26.x and upgrade to meson-python...
• #25755: MAINT: Include header defining backtrace
• #25756: BUG: Fix np.quantile([Fraction(2,1)], 0.5) (#24711)

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NumPy 1.26.3 Release Notes

NumPy 1.26.3 is a maintenance release that fixes bugs and regressions 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: MAINT: prepare 1.26.x for further development
• #25188: TYP: add None to __getitem__ in numpy.array_api
• #25189: BLD,BUG: quadmath required where available [f2py]
• #25190: BUG: alpha doesn't use REAL(10)
• #25191: BUG: Fix FP overflow error in division when the divisor is scalar
• #25192: MAINT: Pin scipy-openblas version.
• #25201: BUG: Fix f2py to enable use of string optional inout argument
• #25202: BUG: Fix -fsanitize=alignment issue in numpy/_core/src/multiarray/arraytypes.c.src
• #25203: TST: Explicitly pass NumPy path to cython during tests (also...
• #25204: BUG: fix issues with newaxis and linalg.solve in numpy.array_api
• #25205: BUG: Disallow shadowed modulenames
• #25217: BUG: Handle common blocks with kind specifications from modules
• #25218: BUG: Fix moving compiled executable to root with f2py -c on Windows
• #25219: BUG: Fix single to half-precision conversion on PPC64/VSX3
• #25227: TST: f2py: fix issue in test skip condition
• #25240: Revert "MAINT: Pin scipy-openblas version."
• #25249: MAINT: do not use long type
• #25377: TST: PyPy needs another gc.collect on latest versions
• #25378: CI: Install Lapack runtime on Cygwin.
• #25379: MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1
• #25380: BLD: update vendored Meson for AIX shared library fix
• #25419: MAINT: Init base in cpu_avx512_kn
• #25420: BUG: Fix failing test_features on SapphireRapids
• #25422: BUG: Fix non-contiguous memory load when ARM/Neon is enabled
• #25428: MAINT,BUG: Never import distutils above 3.12 [f2py]
• #25452: MAINT: make the import-time check for old Accelerate more specific
• #25458: BUG: fix macOS version checks for Accelerate support
• #25465: MAINT: Bump actions/setup-node and larsoner/circleci-artifacts-redirector-action
• #25466: BUG: avoid seg fault from OOB access in RandomState.set_state()
• #25467: BUG: Fix two errors related to not checking for failed allocations
• #25468: BUG: Fix regression with f2py wrappers when modules and subroutines...
• #25475: BUG: Fix build issues on SPR
• #25478: BLD: fix uninitialized variable warnings from simd/neon/memory.h
• #25480: BUG: Handle iso_c_type mappings more consistently
• #25481: BUG: Fix module name bug in signature files [urgent] [f2py]
• #25482: BUG: Handle .pyf.src and fix SciPy [urgent]
• #25483: DOC: f2py rewrite with meson details
• #25485: BUG: Add external library handling for meson [f2py]
• #25486: MAINT: Run f2py's meson backend with the same python that ran...
• #25489: MAINT: Update numpy/f2py/_backends from main.
• #25490: MAINT: Easy updates of f2py/*.py from main.
• #25491: MAINT: Update crackfortran.py and f2py2e.py from main

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1c915dc6c36dd4c674d9379e9470ff8b  numpy-1.26.3.tar.gz

SHA256

806dd64230dbbfaca8a27faa64e2f414bf1c6622ab78cc4264f7f5f028fee3bf  numpy-1.26.3-cp310-cp310-macosx_10_9_x86_64.whl
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211ddd1e94817ed2d175b60b6374120244a4dd2287f4ece45d49228b4d529178  numpy-1.26.3-cp310-cp310-musllinux_1_1_aarch64.whl
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21a9484e75ad018974a2fdaa216524d64ed4212e418e0a551a2d83403b0531d3  numpy-1.26.3-cp310-cp310-win32.whl
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7f784e13e598e9594750b2ef6729bcd5a47f6cfe4a12cca13def35e06d8163e3  numpy-1.26.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
5f24750ef94d56ce6e33e4019a8a4d68cfdb1ef661a52cdaee628a56d2437419  numpy-1.26.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
77810ef29e0fb1d289d225cabb9ee6cf4d11978a00bb99f7f8ec2132a84e0166  numpy-1.26.3-cp312-cp312-musllinux_1_1_aarch64.whl
8ed07a90f5450d99dad60d3799f9c03c6566709bd53b497eb9ccad9a55867f36  numpy-1.26.3-cp312-cp312-musllinux_1_1_x86_64.whl
f73497e8c38295aaa4741bdfa4fda1a5aedda5473074369eca10626835445511  numpy-1.26.3-cp312-cp312-win32.whl
da4b0c6c699a0ad73c810736303f7fbae483bcb012e38d7eb06a5e3b432c981b  numpy-1.26.3-cp312-cp312-win_amd64.whl
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b8c275f0ae90069496068c714387b4a0eba5d531aace269559ff2b43655edd58  numpy-1.26.3-cp39-cp39-musllinux_1_1_aarch64.whl
cc0743f0302b94f397a4a65a660d4cd24267439eb16493fb3caad2e4389bccbb  numpy-1.26.3-cp39-cp39-musllinux_1_1_x86_64.whl
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46f47ee566d98849323f01b349d58f2557f02167ee301e5e28809a8c0e27a2d0  numpy-1.26.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
a8474703bffc65ca15853d5fd4d06b18138ae90c17c8d12169968e998e448bb5  numpy-1.26.3-pp39-pypy39_pp73-win_amd64.whl
697df43e2b6310ecc9d95f05d5ef20eacc09c7c4ecc9da3f235d39e71b7da1e4  numpy-1.26.3.tar.gz

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

Checksums

MD5

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SHA256

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

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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 of the array API standard. Note that this does not yet include the optional fft extension in the standard.

(gh-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)

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)

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)

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)

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: 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 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
• 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: MAINT: Prepare 1.26.x branch for development
• #24308: MAINT: Massive update of files from main for numpy 1.26
• #24322: CI: fix wheel builds on the 1.26.x branch
• #24326: BLD: update openblas to newer version
• #24327: TYP: Trim down the _NestedSequence.__getitem__ signature
• #24328: BUG: fix choose refcount leak
• #24337: TST: fix running the test suite in builds without BLAS/LAPACK
• #24338: BUG: random: Fix generation of nan by dirichlet.
• #24340: MAINT: Dependabot updates from main
• #24342: MAINT: Add back NPY_RUN_MYPY_IN_TESTSUITE=1
• #24353: MAINT: Update extbuild.py from main.
• #24356: TST: fix distutils tests for deprecations in recent setuptools...
• #24375: MAINT: Update cibuildwheel to version 2.15.0
• #24381: MAINT: Fix codespaces setup.sh script
• #24403: ENH: Vendor meson for multi-target build support
• #24404: BLD: vendor meson-python to make the Windows builds with SIMD...
• #24405: BLD, SIMD: The meson CPU dispatcher implementation
• #24406: MAINT: Remove versioneer
• #24409: REL: Prepare for the NumPy 1.26.0b1 release.
• #24453: MAINT: Pin upper version of sphinx.
• #24455: ENH: Add prefix to _ALIGN Macro
• #24456: BUG: cleanup warnings
• #24460: MAINT: Upgrade to spin 0.5
• #24495: BUG: asv dev has been removed, use asv run.
• #24496: BUG: Fix meson build failure due to unchanged inplace auto-generated...
• #24521: BUG: fix issue with git-version script, needs a shebang to run
• #24522: BUG: Use a default assignment for git_hash
• #24524: BUG: fix NPY_cast_info error handling in choose
• #24526: BUG: Fix common block handling in f2py
• #24541: CI,TYP: Bump mypy to 1.4.1
• #24542: BUG: Fix assumed length f2py regression
• #24544: MAINT: Harmonize fortranobject
• #24545: TYP: add kind argument to numpy.isin type specification
• #24561: BUG: fix comparisons between masked and unmasked structured arrays
• #24590: CI: Exclude import libraries from list of DLLs on Cygwin.
• #24591: BLD: fix _umath_linalg dependencies
• #24594: MAINT: Stop testing on ppc64le.
• #24602: BLD: meson-cpu: fix SIMD support on platforms with no features
• #24606: BUG: Change Cython binding directive to "False".
• #24613: ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including...
• #24614: DOC: Update building docs to use Meson
• #24615: TYP: Add the missing casting keyword to np.clip
• #24616: TST: convert cython test from setup.py to meson
• #24617: MAINT: Fixup fromnumeric.pyi
• #24622: BUG, ENH: Fix iso_c_binding type maps and fix bind(c)...
• #24629: TYP: Allow binary_repr to accept any object implementing...
• #24630: TYP: Explicitly declare dtype and generic hashable
• #24637: ENH: Refactor the typing "reveal" tests using typing.assert_type
• #24638: MAINT: Bump actions/checkout from 3.6.0 to 4.0.0
• #24647: ENH: meson backend for f2py
• #24648: MAINT: Refactor partial load Workaround for Clang
• #24653: REL: Prepare for the NumPy 1.26.0rc1 release.
• #24659: BLD: allow specifying the long double format to avoid the runtime...
• #24665: BLD: fix bug in random.mtrand extension, don't link libnpyrandom
• #24675: BLD: build wheels for 32-bit Python on Windows, using MSVC
• #24700: BLD: fix issue with compiler selection during cross compilation
• #24701: BUG: Fix data stmt handling for complex values in f2py
• #24707: TYP: Add annotations for the py3.12 buffer protocol
• #24718: DOC: fix a few doc build issues on 1.26.x and update spin docs...

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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

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 of the array API standard. Note that this does not yet include the optional fft extension in the standard.

(gh-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)

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)

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)

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)

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

• @DWesl
• Albert Steppi +
• Bas van Beek
• Charles Harris
• Developer-Ecosystem-Engineering
• Jake Vanderplas
• 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 51 pull requests were merged for this release.

• #24305: MAINT: Prepare 1.26.x branch for development
• #24308: MAINT: Massive update of files from main for numpy 1.26
• #24322: CI: fix wheel builds on the 1.26.x branch
• #24326: BLD: update openblas to newer version
• #24327: TYP: Trim down the _NestedSequence.__getitem__ signature
• #24328: BUG: fix choose refcount leak
• #24337: TST: fix running the test suite in builds without BLAS/LAPACK
• #24338: BUG: random: Fix generation of nan by dirichlet.
• #24340: MAINT: Dependabot updates from main
• #24342: MAINT: Add back NPY_RUN_MYPY_IN_TESTSUITE=1
• #24353: MAINT: Update extbuild.py from main.
• #24356: TST: fix distutils tests for deprecations in recent setuptools...
• #24375: MAINT: Update cibuildwheel to version 2.15.0
• #24381: MAINT: Fix codespaces setup.sh script
• #24403: ENH: Vendor meson for multi-target build support
• #24404: BLD: vendor meson-python to make the Windows builds with SIMD...
• #24405: BLD, SIMD: The meson CPU dispatcher implementation
• #24406: MAINT: Remove versioneer
• #24409: REL: Prepare for the NumPy 1.26.0b1 release.
• #24453: MAINT: Pin upper version of sphinx.
• #24455: ENH: Add prefix to _ALIGN Macro
• #24456: BUG: cleanup warnings [skip azp][skip circle][skip travis][skip...
• #24460: MAINT: Upgrade to spin 0.5
• #24495: BUG: asv dev has been removed, use asv run.
• #24496: BUG: Fix meson build failure due to unchanged inplace auto-generated...
• #24521: BUG: fix issue with git-version script, needs a shebang to run
• #24522: BUG: Use a default assignment for git_hash [skip ci]
• #24524: BUG: fix NPY_cast_info error handling in choose
• #24526: BUG: Fix common block handling in f2py
• #24541: CI,TYP: Bump mypy to 1.4.1
• #24542: BUG: Fix assumed length f2py regression
• #24544: MAINT: Harmonize fortranobject
• #24545: TYP: add kind argument to numpy.isin type specification
• #24561: BUG: fix comparisons between masked and unmasked structured arrays
• #24590: CI: Exclude import libraries from list of DLLs on Cygwin.
• #24591: BLD: fix _umath_linalg dependencies
• #24594: MAINT: Stop testing on ppc64le.
• #24602: BLD: meson-cpu: fix SIMD support on platforms with no features
• #24606: BUG: Change Cython binding directive to "False".
• #24613: ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including...
• #24614: DOC: Update building docs to use Meson
• #24615: TYP: Add the missing casting keyword to np.clip
• #24616: TST: convert cython test from setup.py to meson
• #24617: MAINT: Fixup fromnumeric.pyi
• #24622: BUG, ENH: Fix iso_c_binding type maps and fix bind(c)...
• #24629: TYP: Allow binary_repr to accept any object implementing...
• #24630: TYP: Explicitly declare dtype and generic hashable
• #24637: ENH: Refactor the typing "reveal" tests using [typing.assert_type]{.title-ref}
• #24638: MAINT: Bump actions/checkout from 3.6.0 to 4.0.0
• #24647: ENH: meson backend for f2py
• #24648: MAINT: Refactor partial load Workaround for Clang

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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

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

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

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