gh-117578: Introduce _PyType_GetModuleByDef2 private function

[neonene]

_PyType_GetModuleByDefInPairs(provisional name: outdated) is a private function that takes two types, runs PyType_GetModuleByDef() twice, and finally raises an error if any.

• Issue: PyType_GetModuleByDef family for binary functions performance #117578

[encukou]

Please don't change the documented behaviour of PyType_GetModuleByDef. It should return the first match.
That said, if you have several different modules with the same def in a MRO, things are probably not going the way you wanted. The distinction between the first/last matching entry would make more sense if you want the base type itself, not its ht_module.

[neonene]

I can also revert the starting value of the loop from 1 to 0, if you prefer. I've seen a slight performance change there, which may be negligible.

[encukou]

LGTM, thank you!
As for tests, this should be covered by the decimal test suite, but if you want to write a GetModuleByDef test please ping me for a review.

[bedevere-bot]

⚠️⚠️⚠️ Buildbot failure ⚠️⚠️⚠️

Hi! The buildbot AMD64 RHEL7 LTO + PGO 3.x has failed when building commit 2c45148.

What do you need to do:

1. Don't panic.
2. Check the buildbot page in the devguide if you don't know what the buildbots are or how they work.
3. Go to the page of the buildbot that failed (https://buildbot.python.org/all/#builders/96/builds/7358) and take a look at the build logs.
4. Check if the failure is related to this commit (2c45148) or if it is a false positive.
5. If the failure is related to this commit, please, reflect that on the issue and make a new Pull Request with a fix.

You can take a look at the buildbot page here:

https://buildbot.python.org/all/#builders/96/builds/7358

Failed tests:

• test_capi

Summary of the results of the build (if available):

==

Click to see traceback logs

remote: Enumerating objects: 10, done. remote: Counting objects: 10% (1/10) remote: Counting objects: 20% (2/10) remote: Counting objects: 30% (3/10) remote: Counting objects: 40% (4/10) remote: Counting objects: 50% (5/10) remote: Counting objects: 60% (6/10) remote: Counting objects: 70% (7/10) remote: Counting objects: 80% (8/10) remote: Counting objects: 90% (9/10) remote: Counting objects: 100% (10/10) remote: Counting objects: 100% (10/10), done. remote: Compressing objects: 11% (1/9) remote: Compressing objects: 22% (2/9) remote: Compressing objects: 33% (3/9) remote: Compressing objects: 44% (4/9) remote: Compressing objects: 55% (5/9) remote: Compressing objects: 66% (6/9) remote: Compressing objects: 77% (7/9) remote: Compressing objects: 88% (8/9) remote: Compressing objects: 100% (9/9) remote: Compressing objects: 100% (9/9), done. remote: Total 10 (delta 1), reused 3 (delta 1), pack-reused 0  From https://github.com/python/cpython * branch main -> FETCH_HEAD Note: checking out '2c451489122d539080c8d674b391dedc1dedcb53'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by performing another checkout. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -b with the checkout command again. Example: git checkout -b new_branch_name HEAD is now at 2c45148... gh-117578: Introduce _PyType_GetModuleByDef2 private function (GH-117661) Switched to and reset branch 'main' find: ‘build’: No such file or directoryfind: ‘build’: No such file or directoryfind: ‘build’: No such file or directoryfind: ‘build’: No such file or directorymake[2]: [Makefile:3101: clean-retain-profile] Error 1 (ignored)make: *** [Makefile:2232: buildbottest] Error 2

[mdboom]

@neonene: We should have measured the performance impact of this at the time, but it came up recently in conversation with @markshannon, so I decided to measure it.

While overall on the benchmarking suite it's kind of inconclusive (1% faster, which is below the usual noise threshold), for the one benchmark that uses _PyType_GetModuleByDef heavily (via that fraction extension), it saw a 5% improvement, as well as a 3% decrease in memory usage. Results here.