Mailman 3 September 2022 - Python-announce-list

ANN: Leo 6.7.0 released
by Edward K. Ream 30 Sep '22

30 Sep '22

Leo http://leoeditor.com 6.7.0 is now available on GitHub <https://github.com/leo-editor/leo-editor/releases> and pypi <https://pypi.org/project/leo/>. Leo, http://leoeditor.com is an IDE, outliner and PIM <http://leoeditor.com/preface.html>. *The highlights of Leo 6.7.0* The 6.7.0 version denotes significant changes to Leo's code base. - Leo now requires Python 3.9 or later. - Enhance leoserver.py to support leoInteg and leoJS. - Importers no longer generate underindented escape strings. - Delete all of Leo's cover- and test- commands. - Allow unit tests to run with the Qt gui. - Several mass code updates: - Annotate Leo's core files and important plugins. - Simplify all of Leo's importers. - Speed Leo's redraw code by rewriting Leo's icon drawing logic. - Retire Tk indices, except in unit tests. - The usual assortment of minor bug fixes. *Links* - 6.7.0 Issues <https://github.com/leo-editor/leo-editor/issues?q=is%3Aissue+milestone%3A6.…> - 6.7.0 Pull Requests <https://github.com/leo-editor/leo-editor/pulls?q=is%3Apr+milestone%3A6.7.0> - Documentation <http://leoeditor.com/leo_toc.html> - Tutorials <http://leoeditor.com/tutorial.html> - Video tutorials <http://leoeditor.com/screencasts.html> - Forum <http://groups.google.com/group/leo-editor> - Download <http://sourceforge.net/projects/leo/files/> - Leo on GitHub <https://github.com/leo-editor/leo-editor> - LeoVue <https://github.com/kaleguy/leovue#leo-vue> - What people are saying about Leo <http://leoeditor.com/testimonials.html> - A web page that displays .leo files <http://leoeditor.com/load-leo.html> - More links <http://leoeditor.com/leoLinks.html> Edward ----------------------------------------------------------------- Edward K. Ream: edreamleo(a)gmail.com An old man, crazy about computer programming. Leo Editor: http://leoeditor.com/ -----------------------------------------------------------------

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ANN: SfePy 2022.3
by Robert Cimrman 29 Sep '22

29 Sep '22

I am pleased to announce the release of SfePy 2022.3. Description ----------- SfePy (simple finite elements in Python) is a software for solving systems of coupled partial differential equations by finite element methods. It is distributed under the new BSD license. Home page: https://sfepy.org Mailing list: https://mail.python.org/mm3/mailman3/lists/sfepy.python.org/ Git (source) repository, issue tracker: https://github.com/sfepy/sfepy Highlights of this release -------------------------- - reorganized scripts - PyPI support - speed-up of linear elastodynamics problems - improved homogenization-based recovery of micro-scale solutions For full release notes see [1]. Cheers, Robert Cimrman [1] http://docs.sfepy.org/doc/release_notes.html#id1 --- Contributors to this release in alphabetical order: Robert Cimrman Yves Delley Vladimir Lukes

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python-oracledb 1.1.1
by Anthony Tuininga 28 Sep '22

28 Sep '22

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 module is intended to eventually replace cx_Oracle. Where do I get it? https://pypi.org/project/oracledb/1.1.1/ The easiest method to install/upgrade python-oracledb is via pip as in python -m pip install oracledb --upgrade What's new? This release addresses a number of reported issues. See the full release notes for all of the details: https://python-oracledb.readthedocs.io/en/latest/release_notes.html#oracled… 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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SQLObject 3.10.0
by Oleg Broytman 20 Sep '22

20 Sep '22

Hello! I'm pleased to announce version 3.10.0, the first release of branch 3.10 of SQLObject. What's new in SQLObject ======================= Contributors for this release are James Hudson, Juergen Gmach, Hugo van Kemenade. Many thanks! Features -------- * Allow connections in ``ConnectionHub`` to be strings. This allows to open a new connection in every thread. * Add compatibility with ``Pendulum``. Tests ----- * Run tests with Python 3.10. CI -- * GitHub Actions. * Stop testing at Travis CI. * Stop testing at AppVeyor. Documentation ------------- * DevGuide: source code must be pure ASCII. * DevGuide: ``reStructuredText`` format for docstrings is recommended. * DevGuide: de-facto good commit message format is required: subject/body/trailers. * DevGuide: ``conventional commit`` format for commit message subject lines is recommended. * DevGuide: ``Markdown`` format for commit message bodies is recommended. * DevGuide: commit messages must be pure ASCII. For a more complete list, please see the news: http://sqlobject.org/News.html What is SQLObject ================= SQLObject is an object-relational mapper. Your database tables are described as classes, and rows are instances of those classes. SQLObject is meant to be easy to use and quick to get started with. SQLObject supports a number of backends: MySQL, PostgreSQL, SQLite; connections to other backends - Firebird, Sybase, MSSQL and MaxDB (also known as SAPDB) - are lesser debugged). Python 2.7 or 3.4+ is required. Where is SQLObject ================== Site: http://sqlobject.org Development: http://sqlobject.org/devel/ Mailing list: https://lists.sourceforge.net/mailman/listinfo/sqlobject-discuss Download: https://pypi.org/project/SQLObject/3.10.0 News and changes: http://sqlobject.org/News.html StackOverflow: https://stackoverflow.com/questions/tagged/sqlobject Example ======= Create a simple class that wraps a table:: >>> from sqlobject import * >>> >>> sqlhub.processConnection = connectionForURI('sqlite:/:memory:') >>> >>> class Person(SQLObject): ... fname = StringCol() ... mi = StringCol(length=1, default=None) ... lname = StringCol() ... >>> Person.createTable() Use the object:: >>> p = Person(fname="John", lname="Doe") >>> p <Person 1 fname='John' mi=None lname='Doe'> >>> p.fname 'John' >>> p.mi = 'Q' >>> p2 = Person.get(1) >>> p2 <Person 1 fname='John' mi='Q' lname='Doe'> >>> p is p2 True Queries:: >>> p3 = Person.selectBy(lname="Doe")[0] >>> p3 <Person 1 fname='John' mi='Q' lname='Doe'> >>> pc = Person.select(Person.q.lname=="Doe").count() >>> pc 1 Oleg. -- Oleg Broytman https://phdru.name/ phd(a)phdru.name Programmers don't die, they just GOSUB without RETURN.

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Vulture 2.6
by Jendrik Seipp 19 Sep '22

19 Sep '22

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 ==== * Add basic `match` statement support (kreathon, #276, #291). Cheers Jendrik

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python-oracledb 1.1.0
by Anthony Tuininga 14 Sep '22

14 Sep '22

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 module is intended to eventually replace cx_Oracle. Where do I get it? https://pypi.org/project/oracledb/1.1.0/ The easiest method to install/upgrade python-oracledb is via pip as in python -m pip install oracledb --upgrade What's new? This release adds support for Azure Active Directory OAuth 2.0 and Oracle Cloud Infrastructure Identity and Access Management (IAM) token authentication. It also adds support for JSON payloads in Advanced Queuing (AQ) and addresses a number of smaller enhancements and bug fixes. See the full release notes for all of the details: https://python-oracledb.readthedocs.io/en/latest/release_notes.html#oracled… 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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[RELEASE] Python 3.11 release candidate 2 (3.11.0rc2) is available
by Pablo Galindo Salgado 12 Sep '22

12 Sep '22

Python 3.11 is one month away, can you believe it? This snake is still trying to bite as it has been an interesting day of fighting fires, release blockers, and a bunch of late bugs but your friendly release team always delivers :) You can get this new release while is still fresh here: https://www.python.org/downloads/release/python-3110rc2/ ## This is the second release candidate of Python 3.11 This release, **3.11.0rc2**, is the last preview before the final release of Python 3.11.0 on 2022-10-24. Entering the release candidate phase, only reviewed code changes which are clear bug fixes are allowed between this release candidate and the final release. The second candidate and the last planned release preview is currently planned for Monday, 2022-09-05 while the official release is planned for Monday, 2022-10-24. There will be no ABI changes from this point forward in the 3.11 series and the goal is that there will be as few code changes as possible. ## Modification of the final release Due to the fact that we needed to delay the last release candidate by a week and because of personal scheduling problems I am delaying the final release to 2022-10-24 (three weeks from the original date). ## Call to action ⚠️⚠️⚠️⚠️⚠️⚠️⚠️ The 3.11 branch is now accepting changes for 3.11.**1**. To maximize stability, the final release will be cut from the v3.11.0rc2 tag. If you need the release manager (me) to cherry-pick any critical fixes, mark issues as release blockers, and/or add me as a reviewer on a critical backport PR on GitHub. To see which changes are currently cherry-picked for inclusion in 3.11.0, look at the short-lived branch-v3.11.0 https://github.com/python/cpython/tree/branch-v3.11.0 on GitHub. ⚠️⚠️⚠️⚠️⚠️⚠️⚠️ --- #### Core developers: all eyes on the docs now * Are all your changes properly documented? * Did you notice other changes you know of to have insufficient documentation? #### Community members We strongly encourage maintainers of third-party Python projects to prepare their projects for 3.11 compatibilities during this phase. As always, report any issues to [the Python bug tracker ](https://github.com/issues). 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 Some of the new major new features and changes in Python 3.11 are: ## General changes * [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 680](https://www.python.org/dev/peps/pep-0680/) -- tomllib: Support for Parsing TOML in the Standard Library * [gh-90908](https://github.com/python/cpython/issues/90908) -- Introduce task groups to asyncio * [gh-34627](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. ## Typing and typing language changes * [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 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 <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 release will be the final release of Python 3.11.0, which is currently scheduled for Monday, 2022-10-24. # 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://github.com/python/cpython/issues](https://github.com/python/cpython… . * [Help fund Python and its community](/psf/donations/). # And now for something completely different In general relativity, a white hole is a theoretical region of spacetime and singularity that cannot be entered from the outside, although energy-matter, light and information can escape from it. In this sense, it is the reverse of a black hole, which can be entered only from the outside and from which energy-matter, light and information cannot escape. White holes appear in the theory of eternal black holes. In addition to a black hole region in the future, such a solution of the Einstein field equations has a white hole region in its past. This region does not exist for black holes that have formed through gravitational collapse, however, nor are there any observed physical processes through which a white hole could be formed. Supermassive black holes are theoretically predicted to be at the centre of every galaxy and that possibly, a galaxy cannot form without one. Stephen Hawking and others have proposed that these supermassive black holes spawn a supermassive white hole. # 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/ If you have any questions, please reach out to me or another member of the release team :) Your friendly release team, Ned Deily @nad https://discuss.python.org/u/nad Steve Dower @steve.dower https://discuss.python.org/u/steve.dower Pablo Galindo Salgado @pablogsal https://discuss.python.org/u/pablogsal

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objerve 0.2.0
by furkanonder 12 Sep '22

12 Sep '22

Announcing objerve 0.2.0 ========================= PyPI: https://pypi.org/project/objerve/0.2.0/ Pip: ``pip install objerve==0.2.0`` Source: https://github.com/furkanonder/objerve/ What is objerve? ----------------- Objerve is a tiny observer for Python object attributes that only use one decorator. Example ------------------------- from objerve import watch @watch(set={"foo", "qux"}, get={"bar", "foo"}) class M: qux = "blue" def __init__(self): self.bar = 55 self.foo = 89 self.baz = 121 m = M() def abc(): m.foo += 10 m.qux = "red" abc() m.foo Output: Set | foo = 89 File "/home/blue/example.py", line 9, in __init__ self.foo = 89 Set | qux = red File "/home/blue/example.py", line 18, in <module> m.qux = "red" Get | foo = 89 File "/home/blue/example.py", line 16, in abc m.foo += 10 Set | foo = 99 File "/home/blue/example.py", line 16, in abc m.foo += 10 Get | foo = 99 File "/home/blue/example.py, line 20, in <module> m.foo Enjoy, Furkan Onderhttps://github.com/furkanonder/

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NumPy 1.23. 3 Release
by Charles R Harris 09 Sep '22

09 Sep '22

Hi All, On behalf of the NumPy team, I am pleased to announce the release of NumPy 1.23.3. NumPy 1.23.3 is a maintenance release that fixes bugs discovered after the 1.23.2 release. There is no major theme for this release, the main improvements are for some downstream builds and some annotation corner cases. The Python versions supported for this release are 3.8-3.11. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.23.3>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.23.3>. Note that we will move to MacOS 11 for the NumPy 1.23.4 release, the 10.15 version currently used will no longer be supported by our build infrastructure at that point. *Contributors* A total of 16 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Aaron Meurer - Bas van Beek - Charles Harris - Ganesh Kathiresan - Gavin Zhang + - Iantra Solari+ - Jyn Spring 琴春 + - Matti Picus - Rafael Cardoso Fernandes Sousa - Rafael Sousa + - Ralf Gommers - Rin Cat (鈴猫) + - Saransh Chopra + - Sayed Adel - Sebastian Berg - Serge Guelton *Pull requests merged* A total of 14 pull requests were merged for this release. - #22136: BLD: Add Python 3.11 wheels to aarch64 build - #22148: MAINT: Update setup.py for Python 3.11. - #22155: CI: Test NumPy build against old versions of GCC(6, 7, 8) - #22156: MAINT: support IBM i system - #22195: BUG: Fix circleci build - #22214: BUG: Expose heapsort algorithms in a shared header - #22215: BUG: Support using libunwind for backtrack - #22216: MAINT: fix an incorrect pointer type usage in f2py - #22220: BUG: change overloads to play nice with pyright. - #22221: TST,BUG: Use fork context to fix MacOS savez test - #22222: TYP,BUG: Reduce argument validation in C-based ``__class_getitem__`` - #22223: TST: ensure ``np.equal.reduce`` raises a ``TypeError`` - #22224: BUG: Fix the implementation of numpy.array_api.vecdot - #22230: BUG: Better report integer division overflow (backport) Cheers, Charles Harris

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perftester: A framework for performance testing of Python functions
by Marcin Kozak 09 Sep '22

09 Sep '22

The perftester package enables you to run performance tests of Python functions/callables. Performance is understood in terms of both execution time and memory usage. In addition, perftester enables you to run benchmarks, an important functionality when you need to set limits for your tests. You have time_test(), time_benchmark(), memory_usage_test() and memory_usage_benchmark() functions. In addition, the package offers a pp() function, for pretty printing of the benchmarking results. Time benchmarking and testing is based on timeit.repeat() function while memory benchmarking and testing is based on memory_profiler.memory_usage() function. The idea behind the package is to offer performance testing using a simple API, so the functions' APIs are simple and intuitive. You can run performance testing using perftester in two ways: * by adding perftester functions to your pytests (or doctests); it's a simple approach but makes units tests run much longer and the unit tests are mixed up with performance tests * by running perftester as a separate testing framework, using a command-line interface; even if not that simple, this approach is still quite simple, as you gather performance tests in dedicated files (starting off with "perftester_" prefix (so, "perftester*.py") In the latter case, you can also change the default settings in a dedicated Python module. You can change settings also in other ways, using a config object. But often, you do not need to do that, as you can do most of what you need using the above function's APIs. While perftester is lightweight, at the same time it offers various functionalities. Hence, especially when deciding to use it as a testing framework (and not part of pytests), one should spend some time on reading the documentation. You will find it in the GitHub repository: https://github.com/nyggus/perftester. You can install perftester from PyPi (https://pypi.org/project/perftester/): $ python -m pip install perftester While there are various ways to benchmark and profile Python code, perftester is, as far as I know, the first Python framework for performance testing (not just benchmarking) of Python functions. If you know such a tool, however, please let me know. If you like perftester, please consider leaving a star in the repository. So, happy perftesting! Marcin

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