Mailman 3 December 2022 - pypy-dev

Re: Injecting an exception into another thread
by Audrey Dutcher 10 May '23

10 May '23

Hi! Sorry for the delay, I didn't realize I needed to be subscribed to the mailing list to participate in conversations. My use case is that I have a gui application which runs arbitrary tasks as background threads, and needs to provide a cancel button to interrupt them. The tasks are often legacy code and/or are very difficult to find reasonable points to insert checks for interruption. Another use case would be implementing a python shell in a gui. If you want to maintain responsiveness while commands execute, they must be able to run in another thread (or another process, but this is not ideal if the shell is supposed to interact with the internals of your application). Interrupting lines with ctrl-c requires being able to send an exception to worker threads. Hope this helps! Thanks, - Audrey

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04 May '23

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Release of PyPy v7.3.11
by Matti Picus 02 Jan '23

02 Jan '23

I have released a bug-fix v7.3.11 of PyPy with python2.7, 3,8, 3..9. The complete release note is at https://doc.pypy.org/en/latest/release-v7.3.11.html. Looking back at all the blog posts with the release tag https://www.pypy.org/categories/release.html, it seems there were 40 releases since my first 2.4.0 in 2014. Plans for 2023 include python3.10 and maybe python 3.11, updating HPy, and more performance enhancements. I also want to find a way to give more information about memory allocations to help people understand if there are leaks. Matti

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rpython tests
by Oliver Margetts 30 Dec '22

30 Dec '22

Hello all, Are the tests in the rpython/ directory expected to pass when run via `pypy pytest.py rpython/`? And do you have a current CI setup for running these tests? With zero modifications to the codebase, I'm seeing quite a few test failures in the CI pipelines over here: https://github.com/olliemath/pypy/actions/runs/3803555068/jobs/6470041568 Some of these are spurious (I think the runners don't have enough memory) but quite a few are reproducible locally. I'm interested in getting them up to scratch (i.e. passing), but don't have a sufficient baseline to go off of. For background: I'm currently playing around with RPython (specifically adding "from __future__ import print_function", see https://github.com/olliemath/pypy/pull/1). As part of that I decided to use github workflows to test my code using the unofficial github mirror of pypy. To make sure I don't break anything I would ideally start from a green pipeline and iterate. Best, Oliver

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PyPy Winter Sprint + cpyext
by Stefan Beyer 21 Dec '22

21 Dec '22

Hey everyone! Those of you who attended or followed one of the last two winter sprints in Leysin might know me, the others probably won't. I'm (still) a Master's student writing my thesis on PyPy's current issue with cross-heap cycles when using cpyext. The main point is, that they are not collected and stay around as floating garbage, even if they are not reachable any more. Correct me if I'm wrong, but I didn't notice anyone else working on that topic (and/or committing something) since I've picked it up two years ago (yeah, I know, that long ago...). I saw that you would be working on "cpyext performance and completeness" during the current winter sprint this week and thought that this might also concern my thesis. So I thought I'll give you an update. I recently pushed my current (non-optimized, breaking-some-tests, but more or less working) implementation of the "CPython-style" GC-extension for cpyext. It is still in an early stage and not all cases (legacy and non-legacy-finalizers, weakrefs) are handled. However, I picked up some pace during the last couple of weeks and I'm determined to finish this implementation during the following weeks (some quirks with the tests have been haunting me, but I think I figured most of them out by now). After that, I will implement a second alternative implementation (to compare to, mostly for the sake of my thesis), which will take some more time. I also added a couple of fancy test cases (the so called "dot-tests"), so that we can test complex object graphs a little bit easier (and also because it was kind of cool to have another language inside PyPy/RPython, even if it was only for the tests...), with more test cases to come (the current ones are a bit messy). None of the new changes concerning low-latency applications are currently integrated, but that should not be too hard. I guess it won't make much sense for me to join you at this year's winter sprint, especially as I won't be able to get there before Thursday, but I might be able to join you over the IRC channel (or some other form of communication if you like). If there is anything that is worth discussing please let me know! Also feel free to comment on my code, but beware that I might change some things once I try to do some optimizations (probably not many, but at least fix the worst issues) and make it a little bit more readable. You can find my code on the cpyext-gc-cycle branch.<https://bitbucket.org/pypy/pypy/commits/branch/cpyext-gc-cycle> Looking forward to hearing from you! Greetings, Stefan

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pypy-dev December 2022