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Title: GH-109369: Add machinery for deoptimizing tier2 executors, both individually and globally. by markshannon · Pull Request #110358 · python/cpython · GitHub

Open Graph Title: GH-109369: Add machinery for deoptimizing tier2 executors, both individually and globally. by markshannon · Pull Request #110358 · python/cpython

X Title: GH-109369: Add machinery for deoptimizing tier2 executors, both individually and globally. by markshannon · Pull Request #110358 · python/cpython

Description: This PR just provides the machinery; we still need to add support to the executors and to make the necessary calls when instrumenting. The implementation uses a bloom filter. The advantage of a bloom filter is that it requires no coupling between the executors and the objects they depend on, plus it is simpler to implement and uses less memory than a precise mapping. I've chosen k = 6 and m = 256. This should give a low enough false positive rate for most cases. We want to keep the false positive rate very low, as spurious de-optimizations could be expensive. Issue: gh-109369

Open Graph Description: This PR just provides the machinery; we still need to add support to the executors and to make the necessary calls when instrumenting. The implementation uses a bloom filter. The advantage of a blo...

X Description: This PR just provides the machinery; we still need to add support to the executors and to make the necessary calls when instrumenting. The implementation uses a bloom filter. The advantage of a blo...

Opengraph URL: https://github.com/python/cpython/pull/110358

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