Mailman 3 September 2023 - Python-announce-list

ANN: SciPy 1.11.3
by Tyler Reddy 27 Sep '23

27 Sep '23

Hi all, On behalf of the SciPy development team, I'm pleased to announce the release of SciPy 1.11.3, which is a bug fix release. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.11.3 One of a few ways to install this release with pip: pip install scipy==1.11.3 ====================== SciPy 1.11.3 Release Notes ====================== SciPy 1.11.3 is a bug-fix release with no new features compared to 1.11.2. Authors ======= * Name (commits) * Jake Bowhay (2) * CJ Carey (1) * Colin Carroll (1) + * Anirudh Dagar (2) * drestebon (1) + * Ralf Gommers (5) * Matt Haberland (2) * Julien Jerphanion (1) * Uwe L. Korn (1) + * Ellie Litwack (2) * Andrew Nelson (5) * Bharat Raghunathan (1) * Tyler Reddy (37) * Søren Fuglede Jørgensen (2) * Hielke Walinga (1) + * Warren Weckesser (1) * Bernhard M. Wiedemann (1) A total of 17 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete. Issues closed for 1.11.3 -------------------------------- * `#15093 <https://github.com/scipy/scipy/issues/15093>`__: BUG: scipy.optimize's trust-constr algorithm hangs when keep-feasible... * `#15273 <https://github.com/scipy/scipy/issues/15273>`__: freqz: suboptimal performance for worN=2\*\*n+1, include_nyquist=True... * `#17269 <https://github.com/scipy/scipy/issues/17269>`__: Bug in scipy.sparse.csgraph.min_weight_full_bipartite_matching * `#17289 <https://github.com/scipy/scipy/issues/17289>`__: BUG: Different results between numpy.fft.rfft and scipy.signal.freqz * `#18716 <https://github.com/scipy/scipy/issues/18716>`__: Buffer dtype mismatch, expected 'ITYPE_t' but got 'long' * `#18782 <https://github.com/scipy/scipy/issues/18782>`__: BUG: johnsonsu distribution no longer accepts integer \`b\` parameter * `#18922 <https://github.com/scipy/scipy/issues/18922>`__: BUG: dev.py has \`distutils\` usage * `#19101 <https://github.com/scipy/scipy/issues/19101>`__: BUG: mesonpy embeds random path in .pyx files * `#19103 <https://github.com/scipy/scipy/issues/19103>`__: BUG: Regression in 1.11.2: optimize.least_squares with method='trf'... * `#19132 <https://github.com/scipy/scipy/issues/19132>`__: BUG: Build fails on latest commit * `#19149 <https://github.com/scipy/scipy/issues/19149>`__: BUG: scipy.sparse.csgraph.laplacian raises AttributeError on... * `#19197 <https://github.com/scipy/scipy/issues/19197>`__: BUG: Incorrect sampling from zero rank covariance Pull requests for 1.11.3 ------------------------------- * `#17633 <https://github.com/scipy/scipy/pull/17633>`__: BUG: add infeasibility checks to min_weight_full_bipartite_matching * `#18784 <https://github.com/scipy/scipy/pull/18784>`__: BUG: Allow johnsonsu parameters to be floats * `#18913 <https://github.com/scipy/scipy/pull/18913>`__: BUG: sparse.csgraph: Support int64 indices in traversal.pyx * `#18924 <https://github.com/scipy/scipy/pull/18924>`__: BUG: Fix python3.12 distutils dev.py build * `#18956 <https://github.com/scipy/scipy/pull/18956>`__: BUG: trust-constr Bounds exclusive * `#19076 <https://github.com/scipy/scipy/pull/19076>`__: MAINT: should not be using np.float64() on arrays * `#19084 <https://github.com/scipy/scipy/pull/19084>`__: REL, MAINT: prep for 1.11.3 * `#19111 <https://github.com/scipy/scipy/pull/19111>`__: BUG: Fixes #19103 by adding back make_strictly_feasible to lsq... * `#19123 <https://github.com/scipy/scipy/pull/19123>`__: BLD: Avoid absolute pathnames in .pyx files * `#19135 <https://github.com/scipy/scipy/pull/19135>`__: MAINT: signal: Remove the cval parameter from the private function... * `#19139 <https://github.com/scipy/scipy/pull/19139>`__: BLD: revert to using published wheels [wheel build] * `#19156 <https://github.com/scipy/scipy/pull/19156>`__: BUG: Support sparse arrays in scipy.sparse.csgraph.laplacian * `#19199 <https://github.com/scipy/scipy/pull/19199>`__: MAINT: stats.CovViaEigendecomposition: fix \`_LA\` attribute... * `#19200 <https://github.com/scipy/scipy/pull/19200>`__: TST: fix \`TestODR.test_implicit\` test failure with tolerance... * `#19208 <https://github.com/scipy/scipy/pull/19208>`__: BUG: freqz rfft grid fix * `#19280 <https://github.com/scipy/scipy/pull/19280>`__: MAINT: newton, make sure x0 is an inexact type * `#19286 <https://github.com/scipy/scipy/pull/19286>`__: BUG: stats: fix build failure due to incorrect Boost policies... * `#19290 <https://github.com/scipy/scipy/pull/19290>`__: BLD: add float.h include to \`_fpumode.c\`, fixes Clang on Windows... * `#19299 <https://github.com/scipy/scipy/pull/19299>`__: MAINT: fix libquadmath licence Checksums ========= MD5 ~~~ b940b7bab3db8f80d6f79f214ff48ec9 Changelog f744557fb5b0f5094635a35255561195 README.txt df92549e1d2832c0685d851303685301 scipy-1.11.3-cp310-cp310-macosx_10_9_x86_64.whl 989c613e807e1ec39b9ce7aced5b7f6d scipy-1.11.3-cp310-cp310-macosx_12_0_arm64.whl ee99c50f95ce57cb08ea701f5fa9e0b2 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ANN: NumExpr 2.8.7
by Francesc Alted 26 Sep '23

26 Sep '23

Hi everyone, NumExpr 2.8.7 is a release to deal with issues related to downstream `pandas` and other projects where the sanitization blacklist was triggering issues in their evaluate. Hopefully, the new sanitization code would be much more robust now. For those who do not wish to have sanitization on by default, it can be changed by setting an environment variable, `NUMEXPR_SANITIZE=0`. If you use `pandas` in your packages it is advisable you pin `numexpr >= 2.8.7` in your requirements. Project documentation is available at: http://numexpr.readthedocs.io/ Changes from 2.8.6 to 2.8.7 --------------------------- * More permissive rules in sanitizing regular expression: allow to access digits after the . with scientific notation. Thanks to Thomas Vincent. * Don't reject double underscores that are not at the start or end of a variable name (pandas uses those), or scientific-notation numbers with digits after the decimal point. Thanks to Rebecca Palmer. * Do not use `numpy.alltrue` in the test suite, as it has been deprecated (replaced by `numpy.all`). Thanks to Rebecca Chen. * Wheels for Python 3.12. Wheels for 3.7 and 3.8 are not generated anymore. What's Numexpr? --------------- Numexpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python. It has multi-threaded capabilities, as well as support for Intel's MKL (Math Kernel Library), which allows an extremely fast evaluation of transcendental functions (sin, cos, tan, exp, log...) while squeezing the last drop of performance out of your multi-core processors. Look here for a some benchmarks of numexpr using MKL: https://github.com/pydata/numexpr/wiki/NumexprMKL Its only dependency is NumPy (MKL is optional), so it works well as an easy-to-deploy, easy-to-use, computational engine for projects that don't want to adopt other solutions requiring more heavy dependencies. Where I can find Numexpr? ------------------------- The project is hosted at GitHub in: https://github.com/pydata/numexpr You can get the packages from PyPI as well (but not for RC releases): http://pypi.python.org/pypi/numexpr Documentation is hosted at: http://numexpr.readthedocs.io/en/latest/ Share your experience --------------------- Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy data! -- Francesc Alted

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Trac 1.6 Released
by Ryan Ollos 23 Sep '23

23 Sep '23

Trac 1.6 Released ============== Trac 1.6, the first version to support Python 3, has been released. You will find this release at the usual places: https://trac.edgewall.org/wiki/TracDownload#Trac16StableRelease You can find the detailed release notes for 1.6 on the following pages: https://trac.edgewall.org/wiki/TracChangeLog https://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.6 Now to the packages themselves: URLs: https://download.edgewall.org/trac/Trac-1.6.tar.gz https://download.edgewall.org/trac/Trac-1.6-py3-none-any.whl MD5 sums: fdf48328c1e744d1ce6c5212cd7f3af6 Trac-1.6.tar.gz fbe2a2dec779b8b04d64c0a5b58b2f00 Trac-1.6-py3-none-any.whl SHA256 sums: 61d73c61f670d68ffc346829d24b2f1d2050aa561aa71cb98e2fb43992c27304 Trac-1.6.tar.gz 5ff2f3394ebee7cc5b8ee465871cfdecb78ee492a74215b47b6d9ddbcc93b5f7 Trac-1.6-py3-none-any.whl Acknowledgements =============== Many thanks to the growing number of people who have, and continue to, support the project. Also our thanks to all people providing feedback and bug reports that help us make Trac better, easier to use and more effective. Without your invaluable help, Trac would not evolve. Thank you all. Finally, we hope that Trac will be useful to like-minded programmers around the world, and that this release will be an improvement over the last version. Please let us know. /The Trac Team https://trac.edgewall.org/

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[ANN} Numba 0.58.0 and llvmlite 0.41.0
by Valentin Haenel 21 Sep '23

21 Sep '23

Dear *, I am happy to announce the release of Numba 0.58.0 and llvmlite 0.41.0. Please point your browsers at the following link for more information: https://numba.discourse.group/t/ann-numba-0-58-0-and-llvmlite-0-41-0/2148 V-

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PyCA cryptography 41.0.4 released
by Alex Gaynor 19 Sep '23

19 Sep '23

PyCA cryptography 41.0.4 has been released to PyPI. cryptography includes both high level recipes and low level interfaces to common cryptographic algorithms such as symmetric ciphers, asymmetric algorithms, message digests, X509, key derivation functions, and much more. We support Python 3.7+, and PyPy3 7.3.10+. Changelog (https://cryptography.io/en/latest/changelog/#v41-0-4): * Updated Windows, macOS, and Linux wheels to be compiled with OpenSSL 3.1.3. Alex -- All that is necessary for evil to succeed is for good people to do nothing.

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Python 3.12.0 rc3 (final release candidate I promise!) now available
by Thomas Wouters 19 Sep '23

19 Sep '23

I'm pleased to announce the release of Python 3.12 release candidate 3. https://www.python.org/downloads/release/python-3120rc3/ This is the second release candidate of Python 3.12.0 This release, *3.12.0rc3*, is the absolutely last release preview for Python 3.12. There will be *no ABI changes* from this point forward in the 3.12 series. The intent is for the final release of 3.12.0, scheduled for Monday, 2023-10-02, to be identical to this release candidate. *This really is the last chance to find critical problems in Python 3.12.* <https://discuss.python.org/t/python-3-12-0rc2-final-release-candidate-relea…>Call to action We strongly encourage maintainers of third-party Python projects to prepare their projects for 3.12 compatibilities during this phase, and where necessary publish Python 3.12 wheels on PyPI to be ready for the final release of 3.12.0. Any binary wheels built against Python 3.12.0rc3 will work with future versions of Python 3.12. As always, report any issues to the Python bug tracker <https://github.com/python/cpython/issues>. Please keep in mind that this is a preview release and while it’s as close to the final release as we can get it, its use is *not* recommended for production environments. <https://discuss.python.org/t/python-3-12-0rc2-final-release-candidate-relea…>Core developers: time to work on documentation now - Are all your changes properly documented? - Are they mentioned in What’s New <https://docs.python.org/3.12/whatsnew/3.12.html>? - Did you notice other changes you know of to have insufficient documentation? <https://discuss.python.org/t/python-3-12-0rc2-final-release-candidate-relea…>Major new features of the 3.12 series, compared to 3.11 <https://discuss.python.org/t/python-3-12-0rc2-final-release-candidate-relea…>New features - More flexible f-string parsing <https://docs.python.org/3.12/whatsnew/3.12.html#pep-701-syntactic-formaliza…>, allowing many things previously disallowed (PEP 701 <https://peps.python.org/pep-0701/>). - Support for the buffer protocol <https://docs.python.org/3.12/whatsnew/3.12.html#pep-688-making-the-buffer-p…> in Python code (PEP 688 <https://peps.python.org/pep-0688/>). - A new debugging/profiling API <https://docs.python.org/3.12/whatsnew/3.12.html#pep-669-low-impact-monitori…> (PEP 669 <https://peps.python.org/pep-0669/>). - Support for isolated subinterpreters <https://docs.python.org/3.12/whatsnew/3.12.html#pep-684-a-per-interpreter-g…> with separate Global Interpreter Locks (PEP 684 <https://peps.python.org/pep-0684>). - Even more improved error messages <https://docs.python.org/3.12/whatsnew/3.12.html#improved-error-messages>. More exceptions potentially caused by typos now make suggestions to the user. - Support for the Linux perf profiler <https://docs.python.org/3.12/howto/perf_profiling.html> to report Python function names in traces. - Many large and small performance improvements <https://docs.python.org/3.12/whatsnew/3.12.html#optimizations> (like PEP 709 <https://peps.python.org/pep-0709/> and support for the BOLT binary optimizer), delivering an estimated 5% overall performance improvementcitation needed. <https://discuss.python.org/t/python-3-12-0rc2-final-release-candidate-relea…>Type annotations - New type annotation syntax <https://docs.python.org/3.12/whatsnew/3.12.html#pep-695-type-parameter-synt…> for generic classes (PEP 695 <https://peps.python.org/pep-0695/>). - New override decorator <https://docs.python.org/3.12/whatsnew/3.12.html#pep-698-override-decorator-…> for methods (PEP 698 <https://peps.python.org/pep-0698>). <https://discuss.python.org/t/python-3-12-0rc2-final-release-candidate-relea…> Deprecations - The deprecated wstr and wstr_length members of the C implementation of unicode objects were removed, per PEP 623 <https://peps.python.org/pep-0623/>. - In the unittest module, a number of long deprecated methods and classes were removed. (They had been deprecated since Python 3.1 or 3.2). - The deprecated smtpd and distutils modules have been removed (see PEP 594 <https://peps.python.org/pep-0594/> and PEP 632 <https://peps.python.org/pep-0632/>. The setuptools package continues to provide the distutils module. - A number of other old, broken and deprecated functions, classes and methods <https://docs.python.org/3.12/whatsnew/3.12.html#removed> have been removed. - Invalid backslash escape sequences in strings now warn with SyntaxWarning instead of DeprecationWarning, making them more visible. (They will become syntax errors in the future.) - The internal representation of integers has changed in preparation for performance enhancements. (This should not affect most users as it is an internal detail, but it may cause problems for Cython-generated code.) (Hey, *fellow core developer,* if a feature you find important is missing from this list, let Thomas know <thomas(a)python.org>.) For more details on the changes to Python 3.12, see What’s new in Python 3.12 <https://docs.python.org/dev/whatsnew/3.12.html>. The next scheduled release of Python 3.12 will be 3.12.0, the *final release*, currently scheduled for 2023-10-02. <https://discuss.python.org/t/python-3-12-0rc2-final-release-candidate-relea…>More resources - Online Documentation <https://docs.python.org/3.12/>. - PEP 693 <https://www.python.org/dev/peps/pep-0693/>, the Python 3.12 Release Schedule. - Report bugs via GitHub Issues <https://github.com/python/cpython/issues>. - Help fund Python and its community <https://www.python.org/psf/donations/>. <https://discuss.python.org/t/python-3-12-0rc2-final-release-candidate-relea…>We hope you enjoy the new releases! Thanks to all of the many volunteers who help make Python Development and these releases possible! Please consider supporting our efforts by volunteering yourself or through organization contributions to the Python Software Foundation <https://www.python.org/psf-landing/>. Your release team, Thomas Wouters Ned Deily Steve Dower Łukasz Langa -- Thomas Wouters <thomas(a)python.org>

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NumPy 1.26.0 released
by Charles R Harris 16 Sep '23

16 Sep '23

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 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 - f2py fixes, meson and bind(x) support - Support for the updated Accelerate BLAS/LAPACK library The Python versions supported by this release are 3.9-3.12. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.26.0/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.26.0> *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 *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, see the SciPy building from source <http://scipy.github.io/devdocs/building/index.html> 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. Cheers, Charles Harris

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ANN: NumExpr 2.8.6 Released
by Robert McLeod 12 Sep '23

12 Sep '23

Hi everyone, NumExpr 2.8.6 is a release to deal with issues related to downstream `pandas` where the sanitization blacklist was hitting private variables used in their evaluate. In addition the sanitization was hitting on scientific notation. For those who do not wish to have sanitization on by default, it can be changed by setting an environment variable, `NUMEXPR_SANITIZE=0`. If you use `pandas` in your packages it is advisable you pin `numexpr >= 2.8.6` in your requirements. Project documentation is available at: http://numexpr.readthedocs.io/ Changes from 2.8.5 to 2.8.6 --------------------------- * The sanitization can be turned off by default by setting an environment variable, `set NUMEXPR_SANITIZE=0` * Improved behavior of the blacklist to avoid triggering on private variables and scientific notation numbers. What's Numexpr? --------------- Numexpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python. It has multi-threaded capabilities, as well as support for Intel's MKL (Math Kernel Library), which allows an extremely fast evaluation of transcendental functions (sin, cos, tan, exp, log...) while squeezing the last drop of performance out of your multi-core processors. Look here for a some benchmarks of numexpr using MKL: https://github.com/pydata/numexpr/wiki/NumexprMKL Its only dependency is NumPy (MKL is optional), so it works well as an easy-to-deploy, easy-to-use, computational engine for projects that don't want to adopt other solutions requiring more heavy dependencies. Where I can find Numexpr? ------------------------- The project is hosted at GitHub in: https://github.com/pydata/numexpr You can get the packages from PyPI as well (but not for RC releases): http://pypi.python.org/pypi/numexpr Documentation is hosted at: http://numexpr.readthedocs.io/en/latest/ Share your experience --------------------- Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy data! -- Robert McLeod robbmcleod(a)gmail.com robert.mcleod(a)hitachi-hightech.com

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triv 0.50.0
by Triv Co 12 Sep '23

12 Sep '23

Greetings! Triv is a syntax for the web and more... Now available as a public release at version 0.50.0 for either Python (recommended) or Node.js. pip install triv 3v file.3v > file.xml https://www.triv.co Please address correspondence to: maintainer(a)triv.co License: BSD (3-clause); Copyright 2023 Triv Collective

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pytest-7.4.2
by Bruno Oliveira 07 Sep '23

07 Sep '23

pytest 7.4.2 has just been released to PyPI. This is a bug-fix release, being a drop-in replacement. To upgrade:: pip install --upgrade pytest The full changelog is available at https://docs.pytest.org/en/stable/changelog.html. Thanks to all of the contributors to this release: * Bruno Oliveira Happy testing, The pytest Development Team

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