Scheduled monthly dependency update for December

[pyup-bot]

Update pomegranate from 0.14.9 to 1.0.3.

The bot wasn't able to find a changelog for this release. Got an idea?

Links

• PyPI: https://pypi.org/project/pomegranate
• Repo: https://github.com/jmschrei/torchegranate

Update cython from 0.29.34 to 3.0.6.

Changelog

3.0.6

==================

Features added
--------------

* Fused def function dispatch is a bit faster.

* Declarations for the ``wchar`` PyUnicode API were added.
(Github issue :issue:`5836`)

* The Python "nogil" fork is now also detected with the new ``Py_GIL_DISABLED`` macro.
Patch by Hugo van Kemenade   (Github issue :issue:`583652`)

Bugs fixed
----------

* Comparing dataclasses could give different results than Python.
(Github issue :issue:`5857`)

* ``float(std::string)`` generated invalid C code.
(Github issue :issue:`5818`)

* Using ``cpdef`` functions with ``cimport_from_pyx`` failed.
(Github issue :issue:`5795`)

* A crash was fixed when string-formatting a Python value fails.
(Github issue :issue:`5787`)

* On item access, Cython could try the sequence protocol before the mapping protocol
in some cases if an object supports both.
(Github issue :issue:`5776`)

* A C compiler warning was resolved.
(Github issue :issue:`5794`)

* Complex numbers failed to compile in MSVC with C11.
Patch by Lysandros Nikolaou.  (Github issue :issue:`5809`)

* Some issues with the Limited API and with PyPy were resolved.
(Github issues :issue:`5695`, :issue:`5696`)

* A C++ issue in Python 3.13 was resolved.
(Github issue :issue:`5790`)

* Several directives are now also available (as no-ops) in Python code.
(Github issue :issue:`5803`)

* An error message was corrected.
Patch by Mads Ynddal.  (Github issue :issue:`5805`)

3.0.5

==================

Features added
--------------

* Preliminary support for CPython 3.13a1 was added to allow early testing.
(Github issue :issue:`5767`)

Bugs fixed
----------

* A compiler crash was fixed.
(Github issue :issue:`5771`)

* A typo in the ``always_allow_keywords`` directive for Python code was fixed.
Patch by lk-1984.  (Github issue :issue:`5772`)

* Some C compiler warnings were resolved.
Patch by Pierre Jolivet.  (Github issue :issue:`5780`)

3.0.4

==================

Features added
--------------

* A new compiler directive ``show_performance_hints`` was added to disable the
newly added performance hint output.
(Github issue :issue:`5748`)

Bugs fixed
----------

* cythonize` required ``distutils`` even for operations that did not build binaries.
(Github issue :issue:`5751`)

* A regression in 3.0.3 was fixed that prevented calling inline functions
from another inline function in ``.pxd`` files.
(Github issue :issue:`5748`)

* Some C compiler warnings were resolved.
Patch by Pierre Jolivet.  (Github issue :issue:`5756`)

3.0.3

==================

Features added
--------------

* More warnings were added to help users migrate and avoid bugs.
(Github issue :issue:`5650`)

* A warning-like category for performance hints was added that bypasses ``-Werror``.
(Github issue :issue:`5673`)

* FastGIL now uses standard ``thread_local`` in C++.
(Github issue :issue:`5640`)

* ``reference_wrapper`` was added to ``libcpp.functional``.
Patch by Vyas Ramasubramani.  (Github issue :issue:`5671`)

* The ``cythonize`` command now supports the ``--cplus`` option known from the ``cython`` command.
(Github issue :issue:`5736`)

Bugs fixed
----------

* Performance regressions where the GIL was needlessly acquired were fixed.
(Github issues :issue:`5670`, :issue:`5700`)

* A reference leak for exceptions in Python 3.12 was resolved.
Patch by Eric Johnson.  (Github issue :issue:`5724`)

* ``fastcall`` calls with keyword arguments generated incorrect C code.
(Github issue :issue:`5665`)

* Assigning the type converted result of a conditional (if-else) expression
to ``int`` or ``bool`` variables could lead to incorrect C code.
(Github issue :issue:`5731`)

* Early (unlikely) failures in Python function wrappers no longer set a
traceback in order to simplify the C code flow.  Being mostly memory
allocation errors, they probably would never have created a traceback anyway.
(Github issue :issue:`5681`)

* Relative cimports from packages with ``__init__.py`` files could fail.
(Github issue :issue:`5715`)

* Several issues with the Limited API support were resolved.
(Github issues :issue:`5641`, :issue:`5648`, :issue:`5689`)

* The code generated for special-casing both Cython functions and PyCFunctions was cleaned up
to avoid calling C-API functions that were not meant for the other type respectively.
This could previously trigger assertions in CPython debug builds and now also plays better
with the Limited API.
(Github issues :issue:`4804`, :issue:`5739`)

* Fix some C compiler warnings.
Patches by Ralf Gommers, Oleksandr Pavlyk, Sebastian Koslowski et al.
(Github issues :issue:`5651`, :issue:`5663`, :issue:`5668`, :issue:`5717`, :issue:`5726`, :issue:`5734`)

* Generating gdb debugging information failed when using generator expressions.
Patch by Oleksandr Pavlyk.  (Github issue :issue:`5552`)

* Passing a ``setuptools.Extension`` into ``cythonize()`` instead of a
``distutils.Extension`` could make it miss the matching extensions.

* ``cython -M`` needlessly required ``distutils``, which made it fail in Python 3.12.
(Github issue :issue:`5681`)

Other changes
-------------

* The visible deprecation warning for ``DEF`` was removed again since it proved
difficult for some users to migrate away from it.  The statement is still
meant to be removed at some point (and thus, like ``IF``, should not be
used in new code), but the time for sunset is probably not around the corner.
(Github issue :issue:`4310`)

* The ``np_pythran`` option raise a ``DeprecationWarning`` if it receives other values
than ``True`` and ``False``.  This will eventually be disallowed (in line with all
other boolean options).

3.0.2

==================

Bugs fixed
----------

* Using ``None`` as default value for arguments annotated as ``int`` could crash Cython.
(Github issue :issue:`5643`)

* Default values of fused types that include ``complex`` could generate invalid C code
with ``-DCYTHON_CCOMPLEX=0``.
(Github issue :issue:`5644`)

* Using C++ enum class types in extension type method signatures could generate invalid C code.
(Github issue :issue:`5637`)

3.0.1

==================

Features added
--------------

* The error messages regarding exception declarations were improved in order to give
better help about possible reasons and fixes.
(Github issue :issue:`5547`)

Bugs fixed
----------

* Memory view types in Python argument annotations no longer accept ``None``.  They now
require an explicit ``Optional[]`` or a ``None`` default value in order to allow ``None``
to be passed.  This was an oversight in the 3.0.0 release and is a BACKWARDS INCOMPATIBLE
change.  However, since it only applies to code using Python syntax, it probably only
applies to newly written code that was written for Cython 3.0 and can easily be adapted.
In most cases, we expect that this change will avoid bugs in user code rather than
produce problems.
(Github issue :issue:`5612`)

* ``nogil`` functions using parallel code could freeze when called with the GIL held.
(Github issues :issue:`5564`, :issue:`5573`)

* Relative cimports could end up searching globally and find the same package installed
elsewhere, potentially in another version.
(Github issue :issue:`5511`)

* Attribute lookups on known standard library modules could accidentally search
in the module namespace instead.
(Github issue :issue:`5536`)

* Using constructed C++ default arguments could generate invalid C++ code.
(Github issue :issue:`5553`)

* ``libcpp.memory.make_unique()`` was lacking C++ exception handling.
(Github issue :issue:`5560`)

* Some non-public and deprecated CAPI usages were replaced by public
(and thus more future proof) API code.

* Many issues with the Limited API support were resolved.
Patches by Lisandro Dalcin et al.
(Github issues :issue:`5549`, :issue:`5550`, :issue:`5556`, :issue:`5605`, :issue:`5617`)

* Some C compiler warnings were resolved.
Patches by Matti Picus et al.  (Github issues :issue:`5557`, :issue:`5555`)

* Large Python integers are now stored in hex instead of decimal strings to work around
security limits in Python and generally speed up their Python object creation.

* ``NULL`` could not be used as default for fused type pointer arguments.
(Github issue :issue:`5554`)

* C functions that return pointer types now return ``NULL`` as default exception value.
Previously, calling code wasn't aware of this and always tested for raised exceptions.
(Github issue :issue:`5554`)

* Untyped literal default arguments in fused functions could generate invalid C code.
(Github issue :issue:`5614`)

* C variables declared as ``const`` could generate invalid C code when used in closures,
generator expressions, ctuples, etc.
(Github issues :issue:`5558`,  :issue:`5333`)

* Enums could not refer to previously defined enums in their definition.
(Github issue :issue:`5602`)

* The Python conversion code for anonymous C enums conflicted with regular int conversion.
(Github issue :issue:`5623`)

* Using memory views for property methods (and other special methods) could lead to
refcounting problems.
(Github issue :issue:`5571`)

* Star-imports could generate code that tried to assign to constant C macros like
``PY_SSIZE_T_MAX`` and ``PY_SSIZE_T_MIN``.
Patch by Philipp Wagner.  (Github issue :issue:`5562`)

* ``CYTHON_USE_TYPE_SPECS`` can now be (explicitly) enabled in PyPy.

* The template parameter "delimeters" in the Tempita ``Template`` class was corrected
to "delimiters".  The old spelling is still available in the main template API but
now issues a ``DeprecationWarning``.
(Github issue :issue:`5608`)

* The ``cython --version`` output is now  less likely to reach both stdout and stderr.
Patch by Eli Schwartz.  (Github issue :issue:`5504`)

* The sdist was missing the `Shadow.pyi` stub file.

3.0.0

==========================

Features added
--------------

* Cython functions now use the `PEP-590`_ vectorcall protocol in Py3.7+.
Patch by Jeroen Demeyer.  (Github issue :issue:`2263`)

* Unicode identifiers are supported in Cython code (`PEP-3131`_).
Patch by David Woods.  (Github issue :issue:`2601`)

* Unicode module names and imports are supported.
Patch by David Woods.  (Github issue :issue:`3119`)

* Annotations are no longer parsed, keeping them as strings following `PEP-563`_.
Patch by David Woods.  (Github issue :issue:`3285`)

* Preliminary support for the CPython's ``Py_LIMITED_API`` (stable ABI) is
available by setting the  ``CYTHON_LIMITED_API`` C macro.  Note that the
support is currently in an early stage and many features do not yet work.
You currently still have to define ``Py_LIMITED_API`` externally in order
to restrict the API usage.  This will change when the feature stabilises.
Patches by Eddie Elizondo and David Woods.  (Github issues :issue:`3223`,
:issue:`3311`, :issue:`3501`)

* The dispatch to fused functions is now linear in the number of arguments,
which makes it much faster, often 2x or more, and several times faster for
larger fused types with many specialisations.
Patch by will-ca.  (Github issue :issue:`1385`)

* ``with gil/nogil`` statements can be conditional based on compile-time
constants, e.g. fused type checks.
Patch by Noam Hershtig.  (Github issue :issue:`2579`)

* ``const`` can be used together with fused types.
Patch by Thomas Vincent.  (Github issue :issue:`1772`)

* Reimports of already imported modules are substantially faster.
(Github issue :issue:`2854`)

* Positional-only arguments are supported in Python functions (`PEP-570`_).
Patch by Josh Tobin.  (Github issue :issue:`2915`)

* The ``volatile`` C modifier is supported in Cython code.
Patch by Jeroen Demeyer.  (Github issue :issue:`1667`)

* ``cython.trashcan(True)`` can be used on an extension type to enable the
CPython :ref:`trashcan`. This allows deallocating deeply recursive objects
without overflowing the stack. Patch by Jeroen Demeyer.  (Github issue :issue:`2842`)

* Inlined properties can be defined for external extension types.
Patch by Matti Picus. (Github issue :issue:`2640`, redone later in :issue:`3571`)

* The ``str()`` builtin now calls ``PyObject_Str()`` instead of going
through a Python call.
Patch by William Ayd.  (Github issue :issue:`3279`)

* String concatenation can now happen in place if possible, by extending the
existing string rather than always creating a new one.
Patch by David Woods.  (Github issue :issue:`3453`)

* Multiplication of Python numbers with small constant integers is faster.
(Github issue :issue:`2808`)

* Some list copying is avoided internally when a new list needs to be created
but we already have a fresh one.
(Github issue :issue:`3494`)

* Extension types that do not need their own ``tp_new`` implementation (because
they have no object attributes etc.) directly inherit the implementation of
their parent type if possible.
(Github issue :issue:`1555`)

* The attributes ``gen.gi_frame`` and ``coro.cr_frame`` of Cython compiled
generators and coroutines now return an actual frame object for introspection.
(Github issue :issue:`2306`)

* Several declarations in ``cpython.*``, ``libc.*`` and ``libcpp.*`` were added.
Patches by Jeroen Demeyer, Matthew Edwards, Chris Gyurgyik, Jerome Kieffer
and Zackery Spytz.
(Github issues :issue:`3468`, :issue:`3332`, :issue:`3202`, :issue:`3188`,
:issue:`3179`, :issue:`2891`, :issue:`2826`, :issue:`2713`)

* Deprecated NumPy API usages were removed from ``numpy.pxd``.
Patch by Matti Picus.  (Github issue :issue:`3365`)

* ``cython.inline()`` now sets the ``NPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION``
C macro automatically when ``numpy`` is imported in the code, to avoid C compiler
warnings about deprecated NumPy C-API usage.

* The builtin ``abs()`` function can now be used on C numbers in nogil code.
Patch by Elliott Sales de Andrade.  (Github issue :issue:`2748`)

* `PEP-479`_ (``generator_stop``) is now enabled by default with language level 3.
(Github issue :issue:`2580`)

* The ``cython.view.array`` type supports inheritance.
Patch by David Woods.  (Github issue :issue:`3413`)

* Code annotation accepts a new debugging argument ``--annotate-fullc`` that
will include the complete syntax highlighted C file in the HTML output.
(Github issue :issue:`2855`)

* ``--no-capture`` added to ``runtests.py`` to prevent stdout/stderr capturing
during srctree tests.
Patch by Matti Picus.  (Github issue :issue:`2701`)

* ``--no-docstrings`` option added to ``cythonize`` script.
Original patch by mo-han.  (Github issue :issue:`2889`)

* ``cygdb`` gives better error messages when it fails to initialise the
Python runtime support in gdb.
Patch by Volker Weissmann.  (Github issue :issue:`3489`)

* The Pythran ``shape`` attribute is supported.
Patch by Serge Guelton.  (Github issue :issue:`3307`)

Bugs fixed
----------

* The unicode methods ``.upper()``, ``.lower()`` and ``.title()`` were
incorrectly optimised for single character input values and only returned
the first character if multiple characters should have been returned.
They now use the original Python methods again.

* Fused argument types were not correctly handled in type annotations and
``cython.locals()``.
Patch by David Woods.  (Github issues :issue:`3391`, :issue:`3142`)

* Diverging from the usual behaviour, ``len(memoryview)``, ``len(char*)``
and ``len(Py_UNICODE*)`` returned an unsigned ``size_t`` value.  They now
return a signed ``Py_ssize_t``, like other usages of ``len()``.

* Nested dict literals in function call kwargs could incorrectly raise an
error about duplicate keyword arguments, which are allowed when passing
them from dict literals.
(Github issue :issue:`2963`)

* Item access (subscripting) with integer indices/keys always tried the
Sequence protocol before the Mapping protocol, which diverged from Python
semantics.  It now passes through the Mapping protocol first when supported.
(Github issue :issue:`1807`)

* Name lookups in class bodies no longer go through an attribute lookup.
Patch by Jeroen Demeyer.  (Github issue :issue:`3100`)

* Broadcast assignments to a multi-dimensional memory view slice could end
up in the wrong places when the underlying memory view is known to be
contiguous but the slice is not.
(Github issue :issue:`2941`)

* Pickling unbound methods of Python classes failed.
Patch by Pierre Glaser.  (Github issue :issue:`2972`)

* The ``Py_hash_t`` type failed to accept arbitrary "index" values.
(Github issue :issue:`2752`)

* The first function line number of functions with decorators pointed to the
signature line and not the first decorator line, as in Python.
Patch by Felix Kohlgrüber.  (Github issue :issue:`2536`)

* Constant integer expressions that used a negative exponent were evaluated
as integer 0 instead of the expected float value.
Patch by Kryštof Pilnáček.  (Github issue :issue:`2133`)

* The ``cython.declare()`` and ``cython.cast()`` functions could fail in pure mode.
Patch by Dmitry Shesterkin.  (Github issue :issue:`3244`)

* ``__doc__`` was not available inside of the class body during class creation.
(Github issue :issue:`1635`)

* Setting ``language_level=2`` in a file did not work if ``language_level=3``
was enabled globally before.
Patch by Jeroen Demeyer.  (Github issue :issue:`2791`)

* ``__init__.pyx`` files were not always considered as package indicators.
(Github issue :issue:`2665`)

* Compiling package ``__init__`` files could fail under Windows due to an
undefined export symbol.  (Github issue :issue:`2968`)

* A C compiler cast warning was resolved.
Patch by Michael Buesch.  (Github issue :issue:`2775`)

* Binding staticmethods of Cython functions were not behaving like Python methods.
Patch by Jeroen Demeyer.  (Github issue :issue:`3106`, :issue:`3102`)

* Memoryviews failed to compile when the ``cache_builtins`` feature was disabled.
Patch by David Woods.  (Github issue :issue:`3406`)

Other changes
-------------

* The default language level was changed to ``3str``, i.e. Python 3 semantics,
but with ``str`` literals (also in Python 2.7).  This is a backwards incompatible
change from the previous default of Python 2 semantics.  The previous behaviour
is available through the directive ``language_level=2``.
(Github issue :issue:`2565`)

* Cython no longer generates ``__qualname__`` attributes for classes in Python
2.x since they are problematic there and not correctly maintained for subclasses.
Patch by Jeroen Demeyer.  (Github issue :issue:`2772`)

* Source file fingerprinting now uses SHA-1 instead of MD5 since the latter
tends to be slower and less widely supported these days.
(Github issue :issue:`2790`)

* The long deprecated include files ``python_*``, ``stdio``, ``stdlib`` and
``stl`` in ``Cython/Includes/Deprecated/`` were removed.  Use the ``libc.*``
and ``cpython.*`` pxd modules instead.
Patch by Jeroen Demeyer.  (Github issue :issue:`2904`)

* The search order for include files was changed. Previously it was
``include_directories``, ``Cython/Includes``, ``sys.path``. Now it is
``include_directories``, ``sys.path``, ``Cython/Includes``. This was done to
allow third-party ``*.pxd`` files to override the ones in Cython.
Patch by Matti Picus.  (Github issue :issue:`2905`)

* The command line parser was rewritten and modernised using ``argparse``.
Patch by Egor Dranischnikow.  (Github issue :issue:`2952`, :issue:`3001`)

* Dotted filenames for qualified module names (``pkg.mod.pyx``) are deprecated.
Use the normal Python package directory layout instead.
(Github issue :issue:`2686`)

* Binary Linux wheels now follow the manylinux2010 standard.
Patch by Alexey Stepanov.  (Github issue :issue:`3355`)

* Support for Python 2.6 was removed.

.. _`PEP-560`: https://www.python.org/dev/peps/pep-0560
.. _`PEP-570`: https://www.python.org/dev/peps/pep-0570
.. _`PEP-487`: https://www.python.org/dev/peps/pep-0487
.. _`PEP-590`: https://www.python.org/dev/peps/pep-0590
.. _`PEP-3131`: https://www.python.org/dev/peps/pep-3131
.. _`PEP-563`: https://www.python.org/dev/peps/pep-0563
.. _`PEP-479`: https://www.python.org/dev/peps/pep-0479

0.29.36

====================

Bugs fixed
----------

* Async generators lost their return value in PyPy.
(Github issue :issue:`5465`)

* The outdated C macro ``_PyGC_FINALIZED()`` is no longer used in Py3.9+.

* The deprecated ``Py_OptimizeFlag`` is no longer used in Python 3.9+.
(Github issue :issue:`5343`)

* Using the global ``__debug__`` variable but not assertions could lead to compile errors.

* The broken HTML template support was removed from Tempita.
(Github issue :issue:`3309`)

0.29.35

====================

Bugs fixed
----------

* A garbage collection enabled subtype of a non-GC extension type could call into the
deallocation function of the super type with GC tracking enabled.  This could lead
to crashes during deallocation if GC was triggered on the type at the same time.
(Github issue :issue:`5432`)

* Some C compile failures and crashes in CPython 3.12 were resolved.

* ``except + nogil`` was syntactically not allowed.
``except +nogil`` (i.e. defining a C++ exception handling function called ``nogil``)
is now disallowed to prevent typos.
(Github issue :issue:`5430`)

* A C compile failure in PyPy 3.10 was resolved.
Patch by Matti Picus.  (Github issue :issue:`5408`)

* Cython modules now use PEP-489 multi-phase init by default in PyPy 3.9 and later.
Original patch by Matti Picus.  (Github issue :issue:`5413`)

* API header files generated by different Cython versions can now be included in the
same C file.
(Github issue :issue:`5383`)

* Function signatures containing a type like `tuple[()]` could not be printed.
Patch by Lisandro Dalcin.  (Github issue :issue:`5355`)

Links

• PyPI: https://pypi.org/project/cython
• Changelog: https://data.safetycli.com/changelogs/cython/
• Homepage: https://cython.org/

Update numpy from 1.24.3 to 1.26.2.

Changelog

1.26.1

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](https://github.com/numpy/numpy/pull/24742): MAINT: Update cibuildwheel version
-   [24748](https://github.com/numpy/numpy/pull/24748): MAINT: fix version string in wheels built with setup.py
-   [24771](https://github.com/numpy/numpy/pull/24771): BLD, BUG: Fix build failure for host flags e.g. `-march=native`\...
-   [24773](https://github.com/numpy/numpy/pull/24773): DOC: Updated the f2py docs to remove a note on -fimplicit-none
-   [24776](https://github.com/numpy/numpy/pull/24776): BUG: Fix SIMD f32 trunc test on s390x when baseline is none
-   [24785](https://github.com/numpy/numpy/pull/24785): BLD: add libquadmath to licences and other tweaks (#24753)
-   [24786](https://github.com/numpy/numpy/pull/24786): MAINT: Activate `use-compute-credits` for Cirrus.
-   [24803](https://github.com/numpy/numpy/pull/24803): BLD: updated vendored-meson/meson for mips64 fix
-   [24804](https://github.com/numpy/numpy/pull/24804): MAINT: fix licence path win
-   [24813](https://github.com/numpy/numpy/pull/24813): BUG: Fix order of Windows OS detection macros.
-   [24831](https://github.com/numpy/numpy/pull/24831): BUG, SIMD: use scalar cmul on bad Apple clang x86_64 (#24828)
-   [24840](https://github.com/numpy/numpy/pull/24840): BUG: Fix DATA statements for f2py
-   [24870](https://github.com/numpy/numpy/pull/24870): API: Add `NumpyUnpickler` for backporting
-   [24872](https://github.com/numpy/numpy/pull/24872): MAINT: Xfail test failing on PyPy.
-   [24879](https://github.com/numpy/numpy/pull/24879): BLD: fix math func feature checks, fix FreeBSD build, add CI\...
-   [24899](https://github.com/numpy/numpy/pull/24899): ENH: meson: implement BLAS/LAPACK auto-detection and many CI\...
-   [24902](https://github.com/numpy/numpy/pull/24902): DOC: add a 1.26.1 release notes section for BLAS/LAPACK build\...
-   [24906](https://github.com/numpy/numpy/pull/24906): MAINT: Backport `numpy._core` stubs. Remove `NumpyUnpickler`
-   [24911](https://github.com/numpy/numpy/pull/24911): MAINT: Bump pypa/cibuildwheel from 2.16.1 to 2.16.2
-   [24912](https://github.com/numpy/numpy/pull/24912): BUG: loongarch doesn\'t use REAL(10)

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1.26.0

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](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 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](https://github.com/numpy/numpy/pull/24305): MAINT: Prepare 1.26.x branch for development
-   [24308](https://github.com/numpy/numpy/pull/24308): MAINT: Massive update of files from main for numpy 1.26
-   [24322](https://github.com/numpy/numpy/pull/24322): CI: fix wheel builds on the 1.26.x branch
-   [24326](https://github.com/numpy/numpy/pull/24326): BLD: update openblas to newer version
-   [24327](https://github.com/numpy/numpy/pull/24327): TYP: Trim down the `_NestedSequence.__getitem__` signature
-   [24328](https://github.com/numpy/numpy/pull/24328): BUG: fix choose refcount leak
-   [24337](https://github.com/numpy/numpy/pull/24337): TST: fix running the test suite in builds without BLAS/LAPACK
-   [24338](https://github.com/numpy/numpy/pull/24338): BUG: random: Fix generation of nan by dirichlet.
-   [24340](https://github.com/numpy/numpy/pull/24340): MAINT: Dependabot updates from main
-   [24342](https://github.com/numpy/numpy/pull/24342): MAINT: Add back NPY_RUN_MYPY_IN_TESTSUITE=1
-   [24353](https://github.com/numpy/numpy/pull/24353): MAINT: Update `extbuild.py` from main.
-   [24356](https://github.com/numpy/numpy/pull/24356): TST: fix distutils tests for deprecations in recent setuptools\...
-   [24375](https://github.com/numpy/numpy/pull/24375): MAINT: Update cibuildwheel to version 2.15.0
-   [24381](https://github.com/numpy/numpy/pull/24381): MAINT: Fix codespaces setup.sh script
-   [24403](https://github.com/numpy/numpy/pull/24403): ENH: Vendor meson for multi-target build support
-   [24404](https://github.com/numpy/numpy/pull/24404): BLD: vendor meson-python to make the Windows builds with SIMD\...
-   [24405](https://github.com/numpy/numpy/pull/24405): BLD, SIMD: The meson CPU dispatcher implementation
-   [24406](https://github.com/numpy/numpy/pull/24406): MAINT: Remove versioneer

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1.25.2

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

Checksums

MD5

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SHA256

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1.25.1

discovered after the 1.25.0 release. The Python versions supported by
this release are 3.9-3.11.

Contributors

A total of 10 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

-   Andrew Nelson
-   Charles Harris
-   Developer-Ecosystem-Engineering
-   Hood Chatham
-   Nathan Goldbaum
-   Rohit Goswami
-   Sebastian Berg
-   Tim Paine +
-   dependabot\[bot\]
-   matoro +

Pull requests merged

A total of 14 pull requests were merged for this release.

-   [23968](https://github.com/numpy/numpy/pull/23968): MAINT: prepare 1.25.x for further development
-   [24036](https://github.com/numpy/numpy/pull/24036): BLD: Port long double identification to C for meson
-   [24037](https://github.com/numpy/numpy/pull/24037): BUG: Fix reduction `return NULL` to be `goto fail`
-   [24038](https://github.com/numpy/numpy/pull/24038): BUG: Avoid undefined behavior in array.astype()
-   [24039](https://github.com/numpy/numpy/pull/24039): BUG: Ensure `__array_ufunc__` works without any kwargs passed
-   [24117](https://github.com/numpy/numpy/pull/24117): MAINT: Pin urllib3 to avoid anaconda-client bug.
-   [24118](https://github.com/numpy/numpy/pull/24118): TST: Pin pydantic\<2 in Pyodide workflow
-   [24119](https://github.com/numpy/numpy/pull/24119): MAINT: Bump pypa/cibuildwheel from 2.13.0 to 2.13.1
-   [24120](https://github.com/numpy/numpy/pull/24120): MAINT: Bump actions/checkout from 3.5.2 to 3.5.3
-   [24122](https://github.com/numpy/numpy/pull/24122): BUG: Multiply or Divides using SIMD without a full vector can\...
-   [24127](https://github.com/numpy/numpy/pull/24127): MAINT: testing for IS_MUSL closes #24074
-   [24128](https://github.com/numpy/numpy/pull/24128): BUG: Only replace dtype temporarily if dimensions changed
-   [24129](https://github.com/numpy/numpy/pull/24129): MAINT: Bump actions/setup-node from 3.6.0 to 3.7.0
-   [24134](https://github.com/numpy/numpy/pull/24134): BUG: Fix private procedures in f2py modules

Checksums

MD5

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SHA256

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 9a3a9f3a61480cc086117b426a8bd86869c213fc4072e606f01c4e4b66eb92bf  numpy-1.25.1.tar.gz

1.25.0

The NumPy 1.25.0 release continues the ongoing work to improve the
handling and promotion of dtypes, increase the execution speed, and
clarify the documentation. There has also been work to prepare for the
future NumPy 2.0.0 release, resulting in a large number of new and
expired deprecation. Highlights are:

-   Support for MUSL, there are now MUSL wheels.
-   Support the Fujitsu C/C++ compiler.
-   Object arrays are now supported in einsum
-   Support for inplace matrix multiplication (`=`).

We will be releasing a NumPy 1.26 when Python 3.12 comes out. That is
needed because distutils has been dropped by Python 3.12 and we will be
switching to using meson for future builds. The next mainline release
will be NumPy 2.0.0. We plan that the 2.0 series will still support
downstream projects built against earlier versions of NumPy.

The Python versions supported in this release are 3.9-3.11.

Deprecations

-   `np.core.MachAr` is deprecated. It is private API. In names defined
 in `np.core` should generally be considered private.

 ([gh-22638](https://github.com/numpy/numpy/pull/22638))

-   `np.finfo(None)` is deprecated.

 ([gh-23011](https://github.com/numpy/numpy/pull/23011))

-   `np.round_` is deprecated. Use `np.round` instead.

 ([gh-23302](https://github.com/numpy/numpy/pull/23302))

-   `np.product` is deprecated. Use `np.prod` instead.

 ([gh-23314](https://github.com/numpy/numpy/pull/23314))

-   `np.cumproduct` is deprecated. Use `np.cumprod` instead.

 ([gh-23314](https://github.com/numpy/numpy/pull/23314))

-   `np.sometrue` is deprecated. Use `np.any` instead.

 ([gh-23314](https://github.com/numpy/numpy/pull/23314))

-   `np.alltrue` is deprecated. Use `np.all` instead.

 ([gh-23314](https://github.com/numpy/numpy/pull/23314))

-   Only ndim-0 arrays are treated as scalars. NumPy used to treat all
 arrays of size 1 (e.g., `np.array([3.14])`) as scalars. In the
 future, this will be limited to arrays of ndim 0 (e.g.,
 `np.array(3.14)`). The following expressions will report a
 deprecation warning:

  python
 a = np.array([3.14])
 float(a)   better: a[0] to get the numpy.float or a.item()

 b = np.array([[3.14]])
 c = numpy.random.rand(10)
 c[0] = b   better: c[0] = b[0, 0]
 

 ([gh-10615](https://github.com/numpy/numpy/pull/10615))

-   `numpy.find_common_type` is now deprecated and its use
 should be replaced with either `numpy.result_type` or
 `numpy.promote_types`. Most users leave the second
 `scalar_types` argument to `find_common_type` as `[]` in which case
 `np.result_type` and `np.promote_types` are both faster and more
 robust. When not using `scalar_types` the main difference is that
 the replacement intentionally converts non-native byte-order to
 native byte ord

[pyup-bot]

Closing this in favor of #405