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Merged
merged 37 commits into from
Sep 5, 2023
Merged

ENH: meson backend for f2py #24532

merged 37 commits into from
Sep 5, 2023

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HaoZeke
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@HaoZeke HaoZeke commented Aug 25, 2023

This distills and extends #22225 where @NamamiShanker completed the design and implementation of the CLI refactor and backend work as his GSoC project last year.

This uses the f2py2e CLI instead of the f2pyarg CLI.

Closes #24444. Closes #22910. Closes #21484. Closes #20240.
Actually pretty much closes out every np.distutils issue.
Part of #23981. Should be good to go for 1.26.

It is very minimal, and warnings have been added. That said this:

  • Adds an abstract backend
  • Shoehorns Distutils into said backend
  • Adds a meson builder (optional) backend

Usage, for the standard documentation example of:

C FILE: FIB1.F
      SUBROUTINE FIB(A,N)
C
C     CALCULATE FIRST N FIBONACCI NUMBERS
C
      INTEGER N
      REAL*8 A(N)
      DO I=1,N
         IF (I.EQ.1) THEN
            A(I) = 0.0D0
         ELSEIF (I.EQ.2) THEN
            A(I) = 1.0D0
         ELSE
            A(I) = A(I-1) + A(I-2)
         ENDIF
      ENDDO
      END
C END FILE FIB1.F

Which has been tested with:

# Meson, will only generate the .so file
python -m numpy.f2py -c --f90flags='-O3' -m fib fib.f --backend meson
# Meson, will generate the .so, leave a build directory
python -m numpy.f2py -c --f90flags='-O3' -m fib fib.f --backend meson --build-dir blah
# Test it
python -c "import numpy as np; import fib as fibby; a = np.zeros(9); fibby.fib(a); print (a)"

Also tested with a corresponding .pyf:

python module fib2 ! in 
    interface  ! in :fib2
        subroutine fib(a,n) ! in :fib2:fib.f
            real*8 dimension(n) :: a
            integer, optional,check(shape(a, 0) == n),depend(a) :: n=shape(a, 0)
        end subroutine fib
    end interface 
end python module fib2

Which works as expected:

python -m numpy.f2py -c --f90flags='-O3' fib1.pyf fib.f --debug --backend meson
python -c "import numpy as np; import fib2 as fibby; a = np.zeros(9); fibby.fib(a); print (a)"
[ 0.  1.  1.  2.  3.  5.  8. 13. 21.]

There's also a new --dep flag which can be passed (multiple times if necessary) to use f2py for more than trivial use cases:

f2py -c --backend meson GaussJacobiQuadCCPy.pyf ../src/gjp_lapack.f90 - -dep lapack 

Which makes it IMO much easier to use than the older backend.

The default backend is distutils on Python versions '<3.12.0' (though it will emit a warning).

Required

Do not merge until these are finished!!!

  • Works with .f and .f90
  • Works with .pyf
  • Testsuite passes (see next section)

python-3.12 Support

Personally I use pyenv:

pyenv install 3.12.0rc1
eval "$(pyenv init -)"
pyenv global 3.12.0rc1
pip install -r build_requirements.txt
pip install -r test_requirements.txt
spin run $SHELL # manual tests
spin test -t numpy.f2py -m full

The tests pass manually (see exceptions below), some changes are needed there to be more flexible. For now, this patch can be used:

diff --git i/numpy/f2py/f2py2e.py w/numpy/f2py/f2py2e.py
index 6b63a6c6b..fad5db12f 100755
--- i/numpy/f2py/f2py2e.py
+++ w/numpy/f2py/f2py2e.py
@@ -597,7 +597,7 @@ def run_compile():
         backend_key = sys.argv.pop(backend_index + 1)
         sys.argv.pop(backend_index)
     else:
-        backend_key = 'distutils'
+        backend_key = 'meson'
     build_backend = f2py_build_generator(backend_key)
 
     modulename = 'untitled'
diff --git i/numpy/f2py/tests/util.py w/numpy/f2py/tests/util.py
index 75b257cdb..abb281d7b 100644
--- i/numpy/f2py/tests/util.py
+++ w/numpy/f2py/tests/util.py
@@ -370,10 +370,6 @@ def setup_method(self):
         if self.module is not None:
             return
 
-        # Check compiler availability first
-        if not has_c_compiler():
-            pytest.skip("No C compiler available")
-
         codes = []
         if self.sources:
             codes.extend(self.sources)
@@ -390,12 +386,6 @@ def setup_method(self):
                 needs_f90 = True
             elif str(fn).endswith(".pyf"):
                 needs_pyf = True
-        if needs_f77 and not has_f77_compiler():
-            pytest.skip("No Fortran 77 compiler available")
-        if needs_f90 and not has_f90_compiler():
-            pytest.skip("No Fortran 90 compiler available")
-        if needs_pyf and not (has_f90_compiler() or has_f77_compiler()):
-            pytest.skip("No Fortran compiler available")
 
         # Build the module
         if self.code is not None:

Exceptions

  • test_array_from_pyobj will be skipped for now since it uses a bunch of distutils helper functions
  • TestCReturnReal fails for now, though manual testing of the code works, has to do with the way modules are built for testing

Manual CReturnReal setup

Consider:

python module c_ext_return_real
usercode '''
float t4(float value) { return value; }
void s4(float *t4, float value) { *t4 = value; }
double t8(double value) { return value; }
void s8(double *t8, double value) { *t8 = value; }
'''
interface
  function t4(value)
    real*4 intent(c) :: t4,value
  end
  function t8(value)
    real*8 intent(c) :: t8,value
  end
  subroutine s4(t4,value)
    intent(c) s4
    real*4 intent(out) :: t4
    real*4 intent(c) :: value
  end
  subroutine s8(t8,value)
    intent(c) s8
    real*8 intent(out) :: t8
    real*8 intent(c) :: value
  end
end interface
end python module c_ext_return_real

Which is just the test-case extracted into a file. This does have the attributes tested:

python -m numpy.f2py -c c_ext_return_real.pyf --backend meson
python -c "import c_ext_return_real as cextrr; print(dir(cextrr)[9:])"

It should run in the test suite once the utilities there have been reworked to use the abstract Backend class instead.

Post PR

High Priority

  • The helpers for the f2py test suite are still very distutils specific, and need to be updated to use the Backend class.

Medium Priority

  • Update the User Guide with examples, pedagogical explanations, pithy comments, etc.

Lower Priority

This ignores every -c flag except build-dir and warns the user to use the skeleton meson.build as a baseline to which should be edited. In any case though the -c flags need to be rethought for meson and there's already been excellent work in that direction last year (#22225). Later, when the f2pyarg work lands, or otherwise, this can be extended.

@HaoZeke HaoZeke requested a review from mattip August 25, 2023 04:13
@HaoZeke HaoZeke force-pushed the f2pyBackends branch 2 times, most recently from 6f66f4a to beaf8db Compare August 25, 2023 04:57
@charris charris changed the title ENH: meson backend for f2py ENH: meson backend for f2py Aug 25, 2023
@HaoZeke HaoZeke requested review from melissawm and pearu August 25, 2023 16:19
@HaoZeke
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HaoZeke commented Aug 25, 2023

@rgommers, @mattip, @charris (everyone else), I think this should be good to go in as is, it encapsulates the main user-facing features and works on 3.12. The changes to the testsuite (in order to use Backend) should be in a followup, to prevent scope creep and make things easier to review. If there's a very strong reason to have the testsuite changes in this PR I could add them, otherwise I'd prefer to do it in a follow up later. Similar considerations apply to changing the user documentation.

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Great to hear that! I'll try to review within the next couple of days.

@charris charris added the 09 - Backport-Candidate PRs tagged should be backported label Aug 25, 2023
@charris charris added this to the 1.26.0 release milestone Aug 25, 2023
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Thanks @HaoZeke! Looks good overall. I did a first review and noted things that stood out to me. I haven't done actual testing yet.

@HaoZeke HaoZeke requested a review from rgommers August 26, 2023 11:22
HaoZeke added a commit to HaoZeke/GaussJacobiQuad that referenced this pull request Aug 26, 2023
Using the newer syntax defined here:
numpy/numpy#24532
@HaoZeke HaoZeke force-pushed the f2pyBackends branch 2 times, most recently from c5eda47 to 81fd728 Compare August 29, 2023 12:47
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charris commented Sep 2, 2023

Needs rebase.

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HaoZeke commented Sep 2, 2023

Needs rebase.

yup, done :)

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This looks good as far as I can tell from a line-by-line review and some initial testing with both small Fortran files and with SciPy (for regression purposes, it does not use f2py -c).

There is one issue in the meson.build config that I commented on, will push a fix for that. Then, once CI comes back green, I think this can be squash-merged and backported to 1.26.x.

@@ -0,0 +1,42 @@
project('${modulename}',
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The formatting in this file is a little off - may be worth fixing in a next PR. Normal indentation is 2 or 4 spaces for function calls like project(...) or py.extension_module(...).

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rgommers commented Sep 5, 2023

I did some testing with setup.py / runtests.py as well, because CI coverage for that is almost non-existent at this point. That may be a bit thin, but it also may not matter anymore - if it breaks we can figure out what to do with it.

@charris charris merged commit fedc834 into numpy:main Sep 5, 2023
charris pushed a commit to charris/numpy that referenced this pull request Sep 5, 2023
* FIX: Import f2py2e rather than f2py for run_main

* FIX: Import f2py2e instead of f2py

* ENH: Add F2PY back-end work from numpygh-22225

Co-authored-by: NamamiShanker <[email protected]>

* ENH: Add meson skeleton from numpygh-2225

Co-authored-by: NamamiShanker <[email protected]>

* MAINT: Trim backend.py down to f2py2e flags

* ENH: Add a factory function for backends

* ENH: Add a distutils backend

* ENH: Handle --backends in f2py

Defaults to distutils for now

* DOC: Add some minor comments in f2py2e

* MAINT: Refactor and rework meson.build.src

* MAINT: Add objects

* MAINT: Cleanup distutils backend

* MAINT: Refactor to add everything back to backend

Necessary for the meson.build for now. Refactors / cleanup needs better
argument handling in f2py2e

* MAINT: Fix overly long line

* BUG: Construct wrappers for meson backend

* MAINT: Rework, simplify template massively

* ENH: Truncate meson.build to skeleton only

* MAINT: Minor backend housekeeping, name changes

* MAINT: Less absolute paths, update setup.py [f2py]

* MAINT: Move f2py module name functionality

Previously part of np.distutils

* ENH: Handle .pyf files

* TST: Fix typo in isoFortranEnvMap.f90

* MAINT: Typo in f2py2e support for pyf files

* DOC: Add release note for --backend

* MAINT: Conditional switch for Python 3.12 [f2py]

* MAINT: No absolute paths in backend [f2py-meson]

The files are copied over anyway, this makes it easier to extend the
generated skeleton

* MAINT: Prettier generated meson.build files [f2py]

* ENH: Add meson's dependency(blah) to f2py

* DOC: Document the new flag

* MAINT: Simplify and rename backend template [f2py]

Co-authored-by: rgommers <[email protected]>

* ENH: Support build_type via --debug [f2py-meson]

* MAINT,DOC: Reduce warn,rework doc [f2py-meson]

Co-authored-by: rgommers <[email protected]>

* ENH: Rework deps: to --dep calls [f2py-meson]

Also shows how incremental updates to the parser can be done.

* MAINT,DOC: Add --backend to argparse, add docs

* MAINT: Rename meson template [f2py-meson]

* MAINT: Add meson.build for f2py

Should address numpy#22225 (comment)

* BLD: remove duplicate f2py handling in meson.build files

---------

Co-authored-by: Namami Shanker <[email protected]>
Co-authored-by: NamamiShanker <[email protected]>
Co-authored-by: rgommers <[email protected]>
Co-authored-by: Ralf Gommers <[email protected]>
@charris charris removed the 09 - Backport-Candidate PRs tagged should be backported label Sep 5, 2023
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charris commented Sep 5, 2023

Thanks Rohit and Ralf.

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rgommers commented Sep 5, 2023

Great to get this in - nice work @HaoZeke and @NamamiShanker!

@HaoZeke HaoZeke deleted the f2pyBackends branch September 19, 2023 20:20
charris pushed a commit to charris/numpy that referenced this pull request Nov 11, 2023
* FIX: Import f2py2e rather than f2py for run_main

* FIX: Import f2py2e instead of f2py

* ENH: Add F2PY back-end work from numpygh-22225

Co-authored-by: NamamiShanker <[email protected]>

* ENH: Add meson skeleton from numpygh-2225

Co-authored-by: NamamiShanker <[email protected]>

* MAINT: Trim backend.py down to f2py2e flags

* ENH: Add a factory function for backends

* ENH: Add a distutils backend

* ENH: Handle --backends in f2py

Defaults to distutils for now

* DOC: Add some minor comments in f2py2e

* MAINT: Refactor and rework meson.build.src

* MAINT: Add objects

* MAINT: Cleanup distutils backend

* MAINT: Refactor to add everything back to backend

Necessary for the meson.build for now. Refactors / cleanup needs better
argument handling in f2py2e

* MAINT: Fix overly long line

* BUG: Construct wrappers for meson backend

* MAINT: Rework, simplify template massively

* ENH: Truncate meson.build to skeleton only

* MAINT: Minor backend housekeeping, name changes

* MAINT: Less absolute paths, update setup.py [f2py]

* MAINT: Move f2py module name functionality

Previously part of np.distutils

* ENH: Handle .pyf files

* TST: Fix typo in isoFortranEnvMap.f90

* MAINT: Typo in f2py2e support for pyf files

* DOC: Add release note for --backend

* MAINT: Conditional switch for Python 3.12 [f2py]

* MAINT: No absolute paths in backend [f2py-meson]

The files are copied over anyway, this makes it easier to extend the
generated skeleton

* MAINT: Prettier generated meson.build files [f2py]

* ENH: Add meson's dependency(blah) to f2py

* DOC: Document the new flag

* MAINT: Simplify and rename backend template [f2py]

Co-authored-by: rgommers <[email protected]>

* ENH: Support build_type via --debug [f2py-meson]

* MAINT,DOC: Reduce warn,rework doc [f2py-meson]

Co-authored-by: rgommers <[email protected]>

* ENH: Rework deps: to --dep calls [f2py-meson]

Also shows how incremental updates to the parser can be done.

* MAINT,DOC: Add --backend to argparse, add docs

* MAINT: Rename meson template [f2py-meson]

* MAINT: Add meson.build for f2py

Should address numpy#22225 (comment)

* BLD: remove duplicate f2py handling in meson.build files

---------

Co-authored-by: Namami Shanker <[email protected]>
Co-authored-by: NamamiShanker <[email protected]>
Co-authored-by: rgommers <[email protected]>
Co-authored-by: Ralf Gommers <[email protected]>
jsuchenia pushed a commit to jsuchenia/adventofcode that referenced this pull request Dec 2, 2023
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.

-   [@&#8203;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.

-   [#&#8203;24305](numpy/numpy#24305): MAINT: Prepare 1.26.x branch for development
-   [#&#8203;24308](numpy/numpy#24308): MAINT: Massive update of files from main for numpy 1.26
-   [#&#8203;24322](numpy/numpy#24322): CI: fix wheel builds on the 1.26.x branch
-   [#&#8203;24326](numpy/numpy#24326): BLD: update openblas to newer version
-   [#&#8203;24327](numpy/numpy#24327): TYP: Trim down the `_NestedSequence.__getitem__` signature
-   [#&#8203;24328](numpy/numpy#24328): BUG: fix choose refcount leak
-   [#&#8203;24337](numpy/numpy#24337): TST: fix running the test suite in builds without BLAS/LAPACK
-   [#&#8203;24338](numpy/numpy#24338): BUG: random: Fix generation of nan by dirichlet.
-   [#&#8203;24340](numpy/numpy#24340): MAINT: Dependabot updates from main
-   [#&#8203;24342](numpy/numpy#24342): MAINT: Add back NPY_RUN_MYPY_IN_TESTSUITE=1
-   [#&#8203;24353](numpy/numpy#24353): MAINT: Update `extbuild.py` from main.
-   [#&#8203;24356](numpy/numpy#24356): TST: fix distutils tests for deprecations in recent setuptools...
-   [#&#8203;24375](numpy/numpy#24375): MAINT: Update cibuildwheel to version 2.15.0
-   [#&#8203;24381](numpy/numpy#24381): MAINT: Fix codespaces setup.sh script
-   [#&#8203;24403](numpy/numpy#24403): ENH: Vendor meson for multi-target build support
-   [#&#8203;24404](numpy/numpy#24404): BLD: vendor meson-python to make the Windows builds with SIMD...
-   [#&#8203;24405](numpy/numpy#24405): BLD, SIMD: The meson CPU dispatcher implementation
-   [#&#8203;24406](numpy/numpy#24406): MAINT: Remove versioneer
-   [#&#8203;24409](numpy/numpy#24409): REL: Prepare for the NumPy 1.26.0b1 release.
-   [#&#8203;24453](numpy/numpy#24453): MAINT: Pin upper version of sphinx.
-   [#&#8203;24455](numpy/numpy#24455): ENH: Add prefix to \_ALIGN Macro
-   [#&#8203;24456](numpy/numpy#24456): BUG: cleanup warnings
-   [#&#8203;24460](numpy/numpy#24460): MAINT: Upgrade to spin 0.5
-   [#&#8203;24495](numpy/numpy#24495): BUG: `asv dev` has been removed, use `asv run`.
-   [#&#8203;24496](numpy/numpy#24496): BUG: Fix meson build failure due to unchanged inplace auto-generated...
-   [#&#8203;24521](numpy/numpy#24521): BUG: fix issue with git-version script, needs a shebang to run
-   [#&#8203;24522](numpy/numpy#24522): BUG: Use a default assignment for git_hash
-   [#&#8203;24524](numpy/numpy#24524): BUG: fix NPY_cast_info error handling in choose
-   [#&#8203;24526](numpy/numpy#24526): BUG: Fix common block handling in f2py
-   [#&#8203;24541](numpy/numpy#24541): CI,TYP: Bump mypy to 1.4.1
-   [#&#8203;24542](numpy/numpy#24542): BUG: Fix assumed length f2py regression
-   [#&#8203;24544](numpy/numpy#24544): MAINT: Harmonize fortranobject
-   [#&#8203;24545](numpy/numpy#24545): TYP: add kind argument to numpy.isin type specification
-   [#&#8203;24561](numpy/numpy#24561): BUG: fix comparisons between masked and unmasked structured arrays
-   [#&#8203;24590](numpy/numpy#24590): CI: Exclude import libraries from list of DLLs on Cygwin.
-   [#&#8203;24591](numpy/numpy#24591): BLD: fix `_umath_linalg` dependencies
-   [#&#8203;24594](numpy/numpy#24594): MAINT: Stop testing on ppc64le.
-   [#&#8203;24602](numpy/numpy#24602): BLD: meson-cpu: fix SIMD support on platforms with no features
-   [#&#8203;24606](numpy/numpy#24606): BUG: Change Cython `binding` directive to "False".
-   [#&#8203;24613](numpy/numpy#24613): ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including...
-   [#&#8203;24614](numpy/numpy#24614): DOC: Update building docs to use Meson
-   [#&#8203;24615](numpy/numpy#24615): TYP: Add the missing `casting` keyword to `np.clip`
-   [#&#8203;24616](numpy/numpy#24616): TST: convert cython test from setup.py to meson
-   [#&#8203;24617](numpy/numpy#24617): MAINT: Fixup `fromnumeric.pyi`
-   [#&#8203;24622](numpy/numpy#24622): BUG, ENH: Fix `iso_c_binding` type maps and fix `bind(c)`...
-   [#&#8203;24629](numpy/numpy#24629): TYP: Allow `binary_repr` to accept any object implementing...
-   [#&#8203;24630](numpy/numpy#24630): TYP: Explicitly declare `dtype` and `generic` hashable
-   [#&#8203;24637](numpy/numpy#24637): ENH: Refactor the typing "reveal" tests using `typing.assert_type`
-   [#&#8203;24638](numpy/numpy#24638): MAINT: Bump actions/checkout from 3.6.0 to 4.0.0
-   [#&#8203;24647](numpy/numpy#24647): ENH: `meson` backend for `f2py`
-   [#&#8203;24648](numpy/numpy#24648): MAINT: Refactor partial load Workaround for Clang
-   [#&#8203;24653](numpy/numpy#24653): REL: Prepare for the NumPy 1.26.0rc1 release.
-   [#&#8203;24659](numpy/numpy#24659): BLD: allow specifying the long double format to avoid the runtime...
-   [#&#8203;24665](numpy/numpy#24665): BLD: fix bug in random.mtrand extension, don't link libnpyrandom
-   [#&#8203;24675](numpy/numpy#24675): BLD: build wheels for 32-bit Python on Windows, using MSVC
-   [#&#8203;24700](numpy/numpy#24700): BLD: fix issue with compiler selection during cross compilation
-   [#&#8203;24701](numpy/numpy#24701): BUG: Fix data stmt handling for complex values in f2py
-   [#&#8203;24707](numpy/numpy#24707): TYP: Add annotations for the py3.12 buffer protocol
-   [#&#8203;24718](numpy/numpy#24718): DOC: fix a few doc build issues on 1.26.x and update `spin docs`...

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### [`v1.25.2`](https://github.com/numpy/numpy/releases/tag/v1.25.2)

[Compare 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.

-   [#&#8203;24148](numpy/numpy#24148): MAINT: prepare 1.25.x for further development
-   [#&#8203;24174](numpy/numpy#24174): ENH: Improve clang-cl compliance
-   [#&#8203;24179](numpy/numpy#24179): MAINT: Upgrade various build dependencies.
-   [#&#8203;24182](numpy/numpy#24182): BLD: use `-ftrapping-math` with Clang on macOS
-   [#&#8203;24183](numpy/numpy#24183): BUG: properly handle negative indexes in ufunc_at fast path
-   [#&#8203;24184](numpy/numpy#24184): BUG: PyObject_IsTrue and PyObject_Not error handling in setflags
-   [#&#8203;24185](numpy/numpy#24185): BUG: histogram small range robust
-   [#&#8203;24186](numpy/numpy#24186): MAINT: Update meson.build files from main branch
-   [#&#8203;24234](numpy/numpy#24234): MAINT: exclude min, max and round from `np.__all__`
-   [#&#8203;24241](numpy/numpy#24241): MAINT: Dependabot updates
-   [#&#8203;24242](numpy/numpy#24242): BUG: Fix the signature for np.array_api.take
-   [#&#8203;24243](numpy/numpy#24243): BLD: update OpenBLAS to an intermeidate commit
-   [#&#8203;24244](numpy/numpy#24244): BUG: Fix reference count leak in str(scalar).
-   [#&#8203;24245](numpy/numpy#24245): BUG: fix invalid function pointer conversion error
-   [#&#8203;24255](numpy/numpy#24255): BUG: Factor out slow `getenv` call used for memory policy warning
-   [#&#8203;24292](numpy/numpy#24292): CI: correct URL in cirrus.star
-   [#&#8203;24293](numpy/numpy#24293): BUG: Fix C types in scalartypes
-   [#&#8203;24294](numpy/numpy#24294): BUG: do not modify the input to ufunc_at
-   [#&#8203;24295](numpy/numpy#24295): BUG: Further fixes to indexing loop and added tests

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</details>

---

### Configuration

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---

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---

This PR has been generated by [Renovate Bot](https://github.com/renovatebot/renovate).
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Reviewed-on: https://git.apud.pl/jacek/adventofcode/pulls/30
Co-authored-by: Renovate <[email protected]>
Co-committed-by: Renovate <[email protected]>
@TimotheusBachinger TimotheusBachinger mentioned this pull request Nov 25, 2024
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