Mailman 3 May 2022 - Python-announce-list

[RELEASE] The second Python 3.11 beta (3.11.0b2) is available
by Pablo Galindo Salgado May 31, 2022

May 31, 2022

Does anyone want bug fixes? Because we have 164 new commits fixing different things, from code to documentation. If you have reported some issue after 3.11.0b1, you should check if is fixed and if not, make sure you tell us so we can take a look. We still have two more betas to go so help us to make sure we don't miss anything so everything is ready for the final release!! https://www.python.org/downloads/release/python-3110b2/ ## This is a beta preview of Python 3.11 Python 3.11 is still in development. 3.11.0b2 is the second of four planned beta release previews. Beta release previews are intended to give the wider community the opportunity to test new features and bug fixes and to prepare their projects to support the new feature release. We **strongly encourage** maintainers of third-party Python projects to **test with 3.11** during the beta phase and report issues found to [the Python bug tracker](https://github.com/python/cpython/issues) as soon as possible. While the release is planned to be feature complete entering the beta phase, it is possible that features may be modified or, in rare cases, deleted up until the start of the release candidate phase (Monday, 2021-08-02). Our goal is to have no ABI changes after beta 4 and as few code changes as possible after 3.11.0rc1, the first release candidate. To achieve that, it will be **extremely important** to get as much exposure for 3.11 as possible during the beta phase. Please keep in mind that this is a preview release and its use is **not** recommended for production environments. # Major new features of the 3.11 series, compared to 3.10 Many new features for Python 3.11 are still being planned and written. Among the new major new features and changes so far: * [PEP 657](https://www.python.org/dev/peps/pep-0657/) -- Include Fine-Grained Error Locations in Tracebacks * [PEP 654](https://www.python.org/dev/peps/pep-0654/) -- Exception Groups and except* * [PEP 673](https://www.python.org/dev/peps/pep-0673/) -- Self Type * [PEP 646](https://www.python.org/dev/peps/pep-0646/)-- Variadic Generics * [PEP 680](https://www.python.org/dev/peps/pep-0680/)-- tomllib: Support for Parsing TOML in the Standard Library * [PEP 675](https://www.python.org/dev/peps/pep-0675/)-- Arbitrary Literal String Type * [PEP 655](https://www.python.org/dev/peps/pep-0655/)-- Marking individual TypedDict items as required or potentially-missing * [PEP 681](https://www.python.org/dev/peps/pep-0681/)-- Data Class Transforms * [bpo-46752](https://bugs.python.org/issue46752)-- Introduce task groups to asyncio * [bpo-433030](https://github.com/python/cpython/issues/34627/) -- Atomic grouping ((?>...)) and possessive quantifiers (`*+, ++, ?+, {m,n}+`) are now supported in regular expressions. * The [Faster Cpython Project](https://github.com/faster-cpython/) is already yielding some exciting results. Python 3.11 is up to 10-60% faster than Python 3.10. On average, we measured a 1.22x speedup on the standard benchmark suite. See [Faster CPython]( https://docs.python.org/3.11/whatsnew/3.11.html#faster-cpython) for details. * <small>(Hey, **fellow core developer,** if a feature you find important is missing from this list, [let Pablo know](mailto:pablogsal@python.org ).)</small> The next pre-release of Python 3.11 will be 3.11.0b3, currently scheduled for Thursday, 2022-06-16. # More resources * [Online Documentation](https://docs.python.org/3.11/) * [PEP 664](https://www.python.org/dev/peps/pep-0664/), 3.11 Release Schedule * Report bugs at [https://bugs.python.org](https://bugs.python.org). * [Help fund Python and its community](/psf/donations/). # And now for something completely different The Planck time is the time required for light to travel a distance of 1 Planck length in a vacuum, which is a time interval of approximately `5.39*10^(−44)` s. No current physical theory can describe timescales shorter than the Planck time, such as the earliest events after the Big Bang, and it is conjectured that the structure of time breaks down on intervals comparable to the Planck time. While there is currently no known way to measure time intervals on the scale of the Planck time, researchers in 2020 found that the accuracy of an atomic clock is constrained by quantum effects on the order of the Planck time, and for the most precise atomic clocks thus far they calculated that such effects have been ruled out to around `10^−33` s, or 10 orders of magnitude above the Planck scale. # 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/ Regards from sunny London, Pablo Galindo Salgado

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NumPy 1.23.0rc2 released
by Charles R Harris May 30, 2022

May 30, 2022

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 1.23.0rc2. The NumPy 1.23.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, clarify the documentation, and expire old deprecations. The highlights are: - Implementation of ``loadtxt`` in C, greatly improving its performance. - Exposing DLPack at the Python level for easy data exchange. - Changes to the promotion and comparisons of structured dtypes. - Improvements to f2py. The Python versions supported in this release are 3.8-3.10, 3.11 will be supported when it comes out. Note that 32 bit wheels are only provided for Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit OpenBLAS. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.23.0rc2/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.23.0rc2>. *Contributors* A total of 150 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - @DWesl - @GalaxySnail + - @code-review-doctor + - @h-vetinari - Aaron Meurer - Alexander Shadchin - Alexandre de Siqueira - Allan Haldane - Amrit Krishnan - Andrei Batomunkuev - Andrew J. Hesford + - Andrew Murray + - Andrey Andreyevich Bienkowski + - André Elimelek de Weber + - Andy Wharton + - Arryan Singh - Arushi Sharma - Bas van Beek - Bharat Raghunathan - Bhavuk Kalra + - Brigitta Sipőcz - Brénainn Woodsend + - Burlen Loring + - Caio Agiani + - Charles Harris - Chiara Marmo - Cornelius Roemer + - Dahyun Kim + - Damien Caliste - David Prosin + - Denis Laxalde - Developer-Ecosystem-Engineering - Devin Shanahan + - Diego Wang + - Dimitri Papadopoulos Orfanos - Ding Liu + - Diwakar Gupta + - Don Kirkby + - Emma Simon + - Eric Wieser - Evan Miller + - Evgeni Burovski - Evgeny Posenitskiy + - Ewout ter Hoeven + - Felix Divo - Francesco Andreuzzi + - Ganesh Kathiresan - Gaëtan de Menten - Geoffrey Gunter + - Hans Meine - Harsh Mishra + - Henry Schreiner - Hood Chatham + - Ilhan Polat - Inessa Pawson - Isuru Fernando - Ivan Gonzalez + - Ivan Meleshko + - Ivan Yashchuk + - Janus Heide + - Jarrod Millman - Jason Thai + - Jeremy Volkman + - Jesús Carrete Montaña + - Jhong-Ken Chen (陳仲肯) + - John Kirkham - John-Mark Gurney + - Jonathan Deng + - Joseph Fox-Rabinovitz - Jouke Witteveen + - Junyan Ou + - Jérôme Richard + - Kassian Sun + - Kazuki Sakamoto + - Kenichi Maehashi - Kevin Sheppard - Kilian Lieret + - Kushal Beniwal + - Leo Singer - Logan Thomas + - Lorenzo Mammana + - Margret Pax - Mariusz Felisiak + - Markus Mohrhard + - Mars Lee - Marten van Kerkwijk - Masamichi Hosoda + - Matthew Barber - Matthew Brett - Matthias Bussonnier - Matthieu Darbois - Matti Picus - Melissa Weber Mendonça - Michael Burkhart + - Morteza Mirzai + - Motahhar Mokf + - Muataz Attaia + - Muhammad Motawe + - Mukulika Pahari - Márton Gunyhó + - Namami Shanker + - Nihaal Sangha + - Niyas Sait - Omid Rajaei + - Oscar Gustafsson + - Ovee Jawdekar + - P. L. Lim + - Pamphile Roy + - Pantelis Antonoudiou + - Pearu Peterson - Peter Andreas Entschev - Peter Hawkins - Pierre de Buyl - Pieter Eendebak + - Pradipta Ghosh + - Rafael Cardoso Fernandes Sousa + - Raghuveer Devulapalli - Ralf Gommers - Raphael Kruse - Raúl Montón Pinillos - Robert Kern - Rohit Goswami - Ross Barnowski - Ruben Garcia + - Sadie Louise Bartholomew + - Saswat Das + - Sayed Adel - Sebastian Berg - Serge Guelton - Simon Surland Andersen + - Siyabend Ürün + - Somasree Majumder + - Soumya + - Stefan van der Walt - Stefano Miccoli + - Stephan Hoyer - Stephen Worsley + - Tania Allard - Thomas Duvernay + - Thomas Green + - Thomas J. Fan - Thomas Li + - Tim Hoffmann - Ting Sun + - Tirth Patel - Toshiki Kataoka - Tyler Reddy - Warren Weckesser - Yang Hau - Yoon, Jee Seok + Cheers, Charles Harris Reply allReplyForward <https://drive.google.com/u/0/settings/storage?hl=en&utm_medium=web&utm_sour…> <https://www.google.com/intl/en/policies/terms/> <https://www.google.com/intl/en/policies/privacy/> <https://www.google.com/gmail/about/policy/>

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[ANN] Numba 0.55.2 and llvmlite 0.38.1
by Valentin Haenel May 30, 2022

May 30, 2022

Dear all, On behalf of the Numba team, I would like to announce that Numba 0.55.2 and llvmlite 0.38.1 have been released. Please point your browsers at: https://numba.discourse.group/t/ann-numba-0-55-2/1353/3 .. and ... https://numba.discourse.group/t/llvmlite-0-38-1/1340 .. for more information. V-

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Sphinx-5.0.0 is out
by Komiya Takeshi May 29, 2022

May 29, 2022

Hi all, I'm delighted to announce the release of Sphinx 5.0.0 final, now available on the Python package index at <https://pypi.org/project/Sphinx/>. It includes many changes including incompatible ones. Please confirm it working fine on your documents. In detail, please see CHANGES: https://github.com/sphinx-doc/sphinx/blob/5.0.x/CHANGES Thanks to all collaborators and contributors! What is it? =========== Sphinx is a tool that makes it easy to create intelligent and beautiful documentation for Python projects (or other documents consisting of multiple reStructuredText source files). Website: http://sphinx-doc.org/ Enjoy!

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NumPy 1.23.0rc1 released
by Charles R Harris May 26, 2022

May 26, 2022

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 1.23.0rc1. The NumPy 1.23.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, clarify the documentation, and expire old deprecations. The highlights are: - Implementation of ``loadtxt`` in C, greatly improving its performance. - Exposing DLPack at the Python level for easy data exchange. - Changes to the promotion and comparisons of structured dtypes. - Improvements to f2py. The Python versions supported in this release are 3.8-3.10, 3.11 will be supported when it comes out. Note that 32 bit wheels are only provided for Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit OpenBLAS. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.23.0rc1/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.23.0rc1>. *Contributors* A total of 150 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - @DWesl - @GalaxySnail + - @code-review-doctor + - @h-vetinari - Aaron Meurer - Alexander Shadchin - Alexandre de Siqueira - Allan Haldane - Amrit Krishnan - Andrei Batomunkuev - Andrew J. Hesford + - Andrew Murray + - Andrey Andreyevich Bienkowski + - André Elimelek de Weber + - Andy Wharton + - Arryan Singh - Arushi Sharma - Bas van Beek - Bharat Raghunathan - Bhavuk Kalra + - Brigitta Sipőcz - Brénainn Woodsend + - Burlen Loring + - Caio Agiani + - Charles Harris - Chiara Marmo - Cornelius Roemer + - Dahyun Kim + - Damien Caliste - David Prosin + - Denis Laxalde - Developer-Ecosystem-Engineering - Devin Shanahan + - Diego Wang + - Dimitri Papadopoulos Orfanos - Ding Liu + - Diwakar Gupta + - Don Kirkby + - Emma Simon + - Eric Wieser - Evan Miller + - Evgeni Burovski - Evgeny Posenitskiy + - Ewout ter Hoeven + - Felix Divo - Francesco Andreuzzi + - Ganesh Kathiresan - Gaëtan de Menten - Geoffrey Gunter + - Hans Meine - Harsh Mishra + - Henry Schreiner - Hood Chatham + - Ilhan Polat - Inessa Pawson - Isuru Fernando - Ivan Gonzalez + - Ivan Meleshko + - Ivan Yashchuk + - Janus Heide + - Jarrod Millman - Jason Thai + - Jeremy Volkman + - Jesús Carrete Montaña + - Jhong-Ken Chen (陳仲肯) + - John Kirkham - John-Mark Gurney + - Jonathan Deng + - Joseph Fox-Rabinovitz - Jouke Witteveen + - Junyan Ou + - Jérôme Richard + - Kassian Sun + - Kazuki Sakamoto + - Kenichi Maehashi - Kevin Sheppard - Kilian Lieret + - Kushal Beniwal + - Leo Singer - Logan Thomas + - Lorenzo Mammana + - Margret Pax - Mariusz Felisiak + - Markus Mohrhard + - Mars Lee - Marten van Kerkwijk - Masamichi Hosoda + - Matthew Barber - Matthew Brett - Matthias Bussonnier - Matthieu Darbois - Matti Picus - Melissa Weber Mendonça - Michael Burkhart + - Morteza Mirzai + - Motahhar Mokf + - Muataz Attaia + - Muhammad Motawe + - Mukulika Pahari - Márton Gunyhó + - Namami Shanker + - Nihaal Sangha + - Niyas Sait - Omid Rajaei + - Oscar Gustafsson + - Ovee Jawdekar + - P. L. Lim + - Pamphile Roy + - Pantelis Antonoudiou + - Pearu Peterson - Peter Andreas Entschev - Peter Hawkins - Pierre de Buyl - Pieter Eendebak + - Pradipta Ghosh + - Rafael Cardoso Fernandes Sousa + - Raghuveer Devulapalli - Ralf Gommers - Raphael Kruse - Raúl Montón Pinillos - Robert Kern - Rohit Goswami - Ross Barnowski - Ruben Garcia + - Sadie Louise Bartholomew + - Saswat Das + - Sayed Adel - Sebastian Berg - Serge Guelton - Simon Surland Andersen + - Siyabend Ürün + - Somasree Majumder + - Soumya + - Stefan van der Walt - Stefano Miccoli + - Stephan Hoyer - Stephen Worsley + - Tania Allard - Thomas Duvernay + - Thomas Green + - Thomas J. Fan - Thomas Li + - Tim Hoffmann - Ting Sun + - Tirth Patel - Toshiki Kataoka - Tyler Reddy - Warren Weckesser - Yang Hau - Yoon, Jee Seok + Cheers, Charles Harris

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python-oracledb 1.0.0
by Anthony Tuininga May 25, 2022

May 25, 2022

What is python-oracledb? python-oracledb is a Python extension module that enables access to Oracle Database for Python and conforms to the Python database API 2.0 specifications with a number of enhancements. This release is intended as a new major version of cx_Oracle (and to eventually replace it). Where do I get it? https://pypi.org/project/oracledb/1.0.0/ The easiest method to install/upgrade python-oracledb is via pip as in python -m pip install oracledb --upgrade What's new? The biggest enhancement is the introduction of a "thin" mode that does not require any Oracle Client libraries! Prebuilt binaries for macOS are now included (and Windows and Linux binaries are also available). See the full release notes for all of the details: https://python-oracledb.readthedocs.io/en/latest/release_notes.html#release… Chris Jones also has a blog that provides more details: https://cjones-oracle.medium.com/open-source-python-thin-driver-for-oracle-… Please provide any feedback via GitHub issues: https://github.com/oracle/python-oracledb/issues or discussions: https://github.com/oracle/python-oracledb/discussions

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NumPy 1.22.4 released
by Charles R Harris May 21, 2022

May 21, 2022

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 1.22.4. NumPy 1.22.4 is a maintenance release that fixes bugs discovered after the 1.22.3 release. In addition, the wheels for this release are built using the recently released Cython 0.29.30, which should fix the reported problems with debugging <https://github.com/numpy/numpy/issues/21008>. The Python versions supported in this release are 3.8-3.10. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.22.4>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.22.4>. Note that the Mac wheels are based on OS X 10.15 rather than 10.9 that was used in previous NumPy release cycles. *Contributors* A total of 12 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Alexander Shadchin - Bas van Beek - Charles Harris - Hood Chatham - Jarrod Millman - John-Mark Gurney + - Junyan Ou + - Mariusz Felisiak + - Ross Barnowski - Sebastian Berg - Serge Guelton - Stefan van der Walt *Pull requests merged* A total of 22 pull requests were merged for this release. - #21191: TYP, BUG: Fix ``np.lib.stride_tricks`` re-exported under the... - #21192: TST: Bump mypy from 0.931 to 0.940 - #21243: MAINT: Explicitly re-export the types in ``numpy._typing`` - #21245: MAINT: Specify sphinx, numpydoc versions for CI doc builds - #21275: BUG: Fix typos - #21277: ENH, BLD: Fix math feature detection for wasm - #21350: MAINT: Fix failing simd and cygwin tests. - #21438: MAINT: Fix failing Python 3.8 32-bit Windows test. - #21444: BUG: add linux guard per #21386 - #21445: BUG: Allow legacy dtypes to cast to datetime again - #21446: BUG: Make mmap handling safer in frombuffer - #21447: BUG: Stop using PyBytesObject.ob_shash deprecated in Python 3.11. - #21448: ENH: Introduce numpy.core.setup_common.NPY_CXX_FLAGS - #21472: BUG: Ensure compile errors are raised correctly - #21473: BUG: Fix segmentation fault - #21474: MAINT: Update doc requirements - #21475: MAINT: Mark ``npy_memchr`` with ``no_sanitize("alignment")`` on clang - #21512: DOC: Proposal - make the doc landing page cards more similar... - #21525: MAINT: Update Cython version to 0.29.30. - #21536: BUG: Fix GCC error during build configuration - #21541: REL: Prepare for the NumPy 1.22.4 release. - #21547: MAINT: Skip tests that fail on PyPy. Cheers, Charles Harris

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ANN: psutil 5.9.1 released
by Giampaolo Rodola' May 20, 2022

May 20, 2022

Hello all, I'm glad to announce the release of psutil 5.9.1: https://github.com/giampaolo/psutil About ===== psutil (process and system utilities) is a cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network) in Python. It is useful mainly for system monitoring, profiling and limiting process resources and management of running processes. It implements many functionalities offered by command line tools such as: ps, top, lsof, netstat, ifconfig, who, df, kill, free, nice, ionice, iostat, iotop, uptime, pidof, tty, taskset, pmap. It currently supports Linux, Windows, macOS, Sun Solaris, FreeBSD, OpenBSD, NetBSD and AIX, both 32-bit and 64-bit architectures. Supported Python versions are 2.7 and 3.4+. PyPy is also known to work. What's new ========== 2022-05-20 **Enhancements** - #1053: drop Python 2.6 support. (patches by Matthieu Darbois and Hugo van Kemenade) - #2050, [Linux]: increase ``read(2)`` buffer size from 1k to 32k when reading ``/proc`` pseudo files line by line. This should help having more consistent results. - #2057, [OpenBSD]: add support for `cpu_freq()`_. - #2107, [Linux]: `Process.memory_full_info()`_ (reporting process USS/PSS/Swap memory) now reads ``/proc/pid/smaps_rollup`` instead of ``/proc/pids/smaps``, which makes it 5 times faster. **Bug fixes** - #2048: ``AttributeError`` is raised if ``psutil.Error`` class is raised manually and passed through ``str``. - #2049, [Linux]: `cpu_freq()`_ erroneously returns ``curr`` value in GHz while ``min`` and ``max`` are in MHz. - #2050, [Linux]: `virtual_memory()`_ may raise ``ValueError`` if running in a LCX container. Links ===== - Home page: https://github.com/giampaolo/psutil - Download: https://pypi.org/project/psutil/#files - Documentation: http://psutil.readthedocs.io - What's new: https://github.com/giampaolo/psutil/blob/master/HISTORY.rst Hashes ====== psutil-5.9.1-cp27-cp27m-manylinux2010_i686.whl md5: 7a1242ebbc4b120e82aee13d9900089b sha256: 799759d809c31aab5fe4579e50addf84565e71c1dc9f1c31258f159ff70d3f87 psutil-5.9.1-cp27-cp27m-manylinux2010_x86_64.whl md5: a73889261651d0668ecafb3106517d38 sha256: 9272167b5f5fbfe16945be3db475b3ce8d792386907e673a209da686176552af psutil-5.9.1-cp27-cp27m-win32.whl md5: e207f375e71890db65bd38d3d97b052d sha256: 0904727e0b0a038830b019551cf3204dd48ef5c6868adc776e06e93d615fc5fc psutil-5.9.1-cp27-cp27m-win_amd64.whl md5: 7fcdecb7cf7f1414d32ef6be4bb67f98 sha256: e7e10454cb1ab62cc6ce776e1c135a64045a11ec4c6d254d3f7689c16eb3efd2 psutil-5.9.1-cp27-cp27mu-manylinux2010_i686.whl md5: debfdb618e51c8952d7d4e8456d8a134 sha256: 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ANN: A new version (0.4.9) of python-gnupg has been released.
by Vinay Sajip May 20, 2022

May 20, 2022

What Changed? ============= This is an enhancement and bug-fix release, and all users are encouraged to upgrade. Brief summary: * Fixed #161: Added a status attribute to the returned object from gen_key() which is set to 'ok' if a key was successfully created, or 'key not created' if that was reported by gpg, or None in any other case. * Fixed #164: Provided the ability to add subkeys. Thanks to Daniel Kilimnik for the feature request and patch. * Fixed #166: Added keygrip values to the information collected when keys are listed. Thanks to Daniel Kilimnik for the feature request and patch. * Fixed #173: Added extra_args to send_keys(), recv_keys() and search_keys() to allow passing options relating to key servers. This release [2] has been signed with my code signing key: Vinay Sajip (CODE SIGNING KEY) <vinay_sajip at yahoo.co.uk> Fingerprint: CA74 9061 914E AC13 8E66 EADB 9147 B477 339A 9B86 Recent changes to PyPI don't show the GPG signature with the download links. The source code repository is at [1]. An alternative download source where the signatures are available is at [4]. Documentation is available at [5]. As always, your feedback is most welcome (especially bug reports [3], patches and suggestions for improvement, or any other points via this group). Enjoy! Cheers Vinay Sajip [1] https://github.com/vsajip/python-gnupg [2] https://pypi.org/project/python-gnupg/0.4.9 [3] https://github.com/vsajip/python-gnupg/issues [4] https://github.com/vsajip/python-gnupg/releases/ [5] https://docs.red-dove.com/python-gnupg/

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Vulture 2.4
by Jendrik Seipp May 19, 2022

May 19, 2022

Vulture - Find dead code ======================== Vulture finds unused code in Python programs. This is useful for cleaning up and finding errors in large code bases. If you run Vulture on both your library and test suite you can find untested code. Due to Python's dynamic nature, static code analyzers like Vulture are likely to miss some dead code. Also, code that is only called implicitly may be reported as unused. Nonetheless, Vulture can be a very helpful tool for higher code quality. Download ======== https://github.com/jendrikseipp/vulture http://pypi.python.org/pypi/vulture Features ======== * fast: uses static code analysis * tested: tests itself and has complete test coverage * complements pyflakes and has the same output syntax * sorts unused classes and functions by size with ``--sort-by-size`` * supports Python 3.6+ News ==== * Print absolute filepaths as relative again (as in version 2.1 and before) if they are below the current directory (The-Compiler, #246). * Run tests and add PyPI trove for Python 3.10 (chayim, #266). * Allow using the `del` keyword to mark unused variables (sshishov, #279). Cheers Jendrik

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