TYP: Add annotations for the py3.12 buffer protocol #24707
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This PR contains the following updates: | Package | Update | Change | |---|---|---| | [numpy](https://numpy.org) ([source](https://github.com/numpy/numpy)) | minor | `==1.25.1` -> `==1.26.0` | --- ### Release Notes <details> <summary>numpy/numpy (numpy)</summary> ### [`v1.26.0`](https://github.com/numpy/numpy/releases/tag/v1.26.0) [Compare Source](numpy/numpy@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](numpy/numpy#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](numpy/numpy#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](numpy/numpy#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](numpy/numpy#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](numpy/numpy#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://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 20 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - [@​DWesl](https://github.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](numpy/numpy#24305): MAINT: Prepare 1.26.x branch for development - [#​24308](numpy/numpy#24308): MAINT: Massive update of files from main for numpy 1.26 - [#​24322](numpy/numpy#24322): CI: fix wheel builds on the 1.26.x branch - [#​24326](numpy/numpy#24326): BLD: update openblas to newer version - [#​24327](numpy/numpy#24327): TYP: Trim down the `_NestedSequence.__getitem__` signature - [#​24328](numpy/numpy#24328): BUG: fix choose refcount leak - [#​24337](numpy/numpy#24337): TST: fix running the test suite in builds without BLAS/LAPACK - [#​24338](numpy/numpy#24338): BUG: random: Fix generation of nan by dirichlet. - [#​24340](numpy/numpy#24340): MAINT: Dependabot updates from main - [#​24342](numpy/numpy#24342): MAINT: Add back NPY_RUN_MYPY_IN_TESTSUITE=1 - [#​24353](numpy/numpy#24353): MAINT: Update `extbuild.py` from main. - [#​24356](numpy/numpy#24356): TST: fix distutils tests for deprecations in recent setuptools... - [#​24375](numpy/numpy#24375): MAINT: Update cibuildwheel to version 2.15.0 - [#​24381](numpy/numpy#24381): MAINT: Fix codespaces setup.sh script - [#​24403](numpy/numpy#24403): ENH: Vendor meson for multi-target build support - [#​24404](numpy/numpy#24404): BLD: vendor meson-python to make the Windows builds with SIMD... - [#​24405](numpy/numpy#24405): BLD, SIMD: The meson CPU dispatcher implementation - [#​24406](numpy/numpy#24406): MAINT: Remove versioneer - [#​24409](numpy/numpy#24409): REL: Prepare for the NumPy 1.26.0b1 release. - [#​24453](numpy/numpy#24453): MAINT: Pin upper version of sphinx. - [#​24455](numpy/numpy#24455): ENH: Add prefix to \_ALIGN Macro - [#​24456](numpy/numpy#24456): BUG: cleanup warnings - [#​24460](numpy/numpy#24460): MAINT: Upgrade to spin 0.5 - [#​24495](numpy/numpy#24495): BUG: `asv dev` has been removed, use `asv run`. - [#​24496](numpy/numpy#24496): BUG: Fix meson build failure due to unchanged inplace auto-generated... - [#​24521](numpy/numpy#24521): BUG: fix issue with git-version script, needs a shebang to run - [#​24522](numpy/numpy#24522): BUG: Use a default assignment for git_hash - [#​24524](numpy/numpy#24524): BUG: fix NPY_cast_info error handling in choose - [#​24526](numpy/numpy#24526): BUG: Fix common block handling in f2py - [#​24541](numpy/numpy#24541): CI,TYP: Bump mypy to 1.4.1 - [#​24542](numpy/numpy#24542): BUG: Fix assumed length f2py regression - [#​24544](numpy/numpy#24544): MAINT: Harmonize fortranobject - [#​24545](numpy/numpy#24545): TYP: add kind argument to numpy.isin type specification - [#​24561](numpy/numpy#24561): BUG: fix comparisons between masked and unmasked structured arrays - [#​24590](numpy/numpy#24590): CI: Exclude import libraries from list of DLLs on Cygwin. - [#​24591](numpy/numpy#24591): BLD: fix `_umath_linalg` dependencies - [#​24594](numpy/numpy#24594): MAINT: Stop testing on ppc64le. - [#​24602](numpy/numpy#24602): BLD: meson-cpu: fix SIMD support on platforms with no features - [#​24606](numpy/numpy#24606): BUG: Change Cython `binding` directive to "False". - [#​24613](numpy/numpy#24613): ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including... - [#​24614](numpy/numpy#24614): DOC: Update building docs to use Meson - [#​24615](numpy/numpy#24615): TYP: Add the missing `casting` keyword to `np.clip` - [#​24616](numpy/numpy#24616): TST: convert cython test from setup.py to meson - [#​24617](numpy/numpy#24617): MAINT: Fixup `fromnumeric.pyi` - [#​24622](numpy/numpy#24622): BUG, ENH: Fix `iso_c_binding` type maps and fix `bind(c)`... - [#​24629](numpy/numpy#24629): TYP: Allow `binary_repr` to accept any object implementing... - [#​24630](numpy/numpy#24630): TYP: Explicitly declare `dtype` and `generic` hashable - [#​24637](numpy/numpy#24637): ENH: Refactor the typing "reveal" tests using `typing.assert_type` - [#​24638](numpy/numpy#24638): MAINT: Bump actions/checkout from 3.6.0 to 4.0.0 - [#​24647](numpy/numpy#24647): ENH: `meson` backend for `f2py` - [#​24648](numpy/numpy#24648): MAINT: Refactor partial load Workaround for Clang - [#​24653](numpy/numpy#24653): REL: Prepare for the NumPy 1.26.0rc1 release. - [#​24659](numpy/numpy#24659): BLD: allow specifying the long double format to avoid the runtime... - [#​24665](numpy/numpy#24665): BLD: fix bug in random.mtrand extension, don't link libnpyrandom - [#​24675](numpy/numpy#24675): BLD: build wheels for 32-bit Python on Windows, using MSVC - [#​24700](numpy/numpy#24700): BLD: fix issue with compiler selection during cross compilation - [#​24701](numpy/numpy#24701): BUG: Fix data stmt handling for complex values in f2py - [#​24707](numpy/numpy#24707): TYP: Add annotations for the py3.12 buffer protocol - [#​24718](numpy/numpy#24718): DOC: fix a few doc build issues on 1.26.x and update `spin docs`... #### Checksums ##### MD5 052d84a2aaad4d5a455b64f5ff3f160b numpy-1.26.0-cp310-cp310-macosx_10_9_x86_64.whl 874567083be194080e97bea39ea7befd numpy-1.26.0-cp310-cp310-macosx_11_0_arm64.whl 1a5fa023e05e050b95549d355890fbb6 numpy-1.26.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 2af03fbadd96360b26b993975709d072 numpy-1.26.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 32717dd51a915e9aee4dcca72acb00d0 numpy-1.26.0-cp310-cp310-musllinux_1_1_x86_64.whl 3f101e51b3b5f8c3f01256da645a1962 numpy-1.26.0-cp310-cp310-win32.whl d523a40f0a5f5ba94f09679adbabf825 numpy-1.26.0-cp310-cp310-win_amd64.whl 6115698fdf5fb8cf895540a57d12bfb9 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Source](numpy/numpy@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](numpy/numpy#24148): MAINT: prepare 1.25.x for further development - [#​24174](numpy/numpy#24174): ENH: Improve clang-cl compliance - [#​24179](numpy/numpy#24179): MAINT: Upgrade various build dependencies. - [#​24182](numpy/numpy#24182): BLD: use `-ftrapping-math` with Clang on macOS - [#​24183](numpy/numpy#24183): BUG: properly handle negative indexes in ufunc_at fast path - [#​24184](numpy/numpy#24184): BUG: PyObject_IsTrue and PyObject_Not error handling in setflags - [#​24185](numpy/numpy#24185): BUG: histogram small range robust - [#​24186](numpy/numpy#24186): MAINT: Update meson.build files from main branch - [#​24234](numpy/numpy#24234): MAINT: exclude min, max and round from `np.__all__` - [#​24241](numpy/numpy#24241): MAINT: Dependabot updates - [#​24242](numpy/numpy#24242): BUG: Fix the signature for np.array_api.take - [#​24243](numpy/numpy#24243): BLD: update OpenBLAS to an intermeidate commit - [#​24244](numpy/numpy#24244): BUG: Fix reference count leak in str(scalar). - [#​24245](numpy/numpy#24245): BUG: fix invalid function pointer conversion error - [#​24255](numpy/numpy#24255): BUG: Factor out slow `getenv` call used for memory policy warning - [#​24292](numpy/numpy#24292): CI: correct URL in cirrus.star - [#​24293](numpy/numpy#24293): BUG: Fix C types in scalartypes - [#​24294](numpy/numpy#24294): BUG: do not modify the input to ufunc_at - [#​24295](numpy/numpy#24295): BUG: Further fixes to indexing loop and added tests #### Checksums ##### MD5 33518ccb4da8ee11f1dee4b9fef1e468 numpy-1.25.2-cp310-cp310-macosx_10_9_x86_64.whl b5cb0c3b33ef6d93ec2888f25b065636 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Configuration 📅 **Schedule**: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined). 🚦 **Automerge**: Enabled. ♻ **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox. 🔕 **Ignore**: Close this PR and you won't be reminded about this update again. --- - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box --- This PR has been generated by [Renovate Bot](https://github.com/renovatebot/renovate). <!--renovate-debug:eyJjcmVhdGVkSW5WZXIiOiIzNi44LjExIiwidXBkYXRlZEluVmVyIjoiMzYuMTA3LjIiLCJ0YXJnZXRCcmFuY2giOiJtYXN0ZXIifQ==--> Reviewed-on: https://git.apud.pl/jacek/adventofcode/pulls/30 Co-authored-by: Renovate <renovate@apud.pl> Co-committed-by: Renovate <renovate@apud.pl>
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Backport of #24705.
With the implementation of PEP 688 the buffer protocol is, as of Python 3.12, now accessible in Python. This PR updates the
np.ndarrayandnp.genericannotations, adding the corresponding__buffer__method to the both of them in addition to the definition ofnpt.ArrayLike.Marking as 1.26 backport as this is a reasonably py3.12 typing feature.