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@MarcoGorelli @alexander-beedie any idea why the bytecode parser used for the inefficient apply warning fails a bunch of tests on Python 3.12? |
Probably some new/reworked opcode specializations in 3.12 as part of the "faster cpython" initiative; I can take a look and account for them 👍 |
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@alexander-beedie Only bytecode parser failing on Python 3.12 now... all yours! |
Done! #12348 ✌️😎 |
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@alexander-beedie I am consistently getting an import time regression on ubuntu / Python 3.12 😕 Any idea what could have triggered this? Here's the timings: |
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Hmm... will try to take a look tomorrow 👌 |
And by "tomorrow" I apparently mean two days later 😅 But... I think I have an explanation and will be pushing an update shortly! The good news is that imports have not become meaningfully slower; it appears to be an import-test artefact that I can address to get more consistent/reliable results. |
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@alexander-beedie The test still fails even with your latest update 😞 |
Maddening... that test is absolutely rock-solid for me now. I'll instrument it some more, but maybe we'll need to adjust the import timing threshold on a per-architecture basis, hmm. Will look at the test runner logs for clues 🤔 From my home machine (an admittedly fast M2 Max) - Note that those are debug build timings; I see release build timings as low as 28,171μs 🚀 (< 0.03 secs) |
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Instrumented a little and increased the number of allowed tries from three to ten 👀 Results are clear enough; the test now looks pretty stable, but import timings on the 3.12 CI (hardware?) really ARE consistently slow... Will switch to 3.12 locally and see if there's a drop-off (my own timings were 3.11 on Mac - can also try 3.12 on my NAS/Ubuntu box and see how that looks 💭) |
It has to be related to Python 3.12, possibly in combination with the CI runners. After all, the Python 3.8 Ubuntu run passes, as well as the Python 3.12 Windows run 🤔 |
Might have a lead; apparently the performance of |
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Yup, looks like that's it; was finally able to replicate the slow import timings under Looks related to these issues: python/cpython#107841 and coveragepy/coveragepy#1665. |
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Closes #11348
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