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Out of curiosity, would performance be better if we use a frozenset instead of a set? (and is it possible?)
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Good question, I'll benchmark a bit later. A frozenset should not require any locking, so perhaps there is a difference
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At this moment the
setandfrozensethave the same implementation for__contains__:cpython/Objects/setobject.c
Lines 2529 to 2531 in 3bd7730
cpython/Objects/setobject.c
Lines 2416 to 2420 in 3bd7730
so there is no performance difference. In the future however, for the free-threading build one could remove the critical section for the frozenset implementation here:
cpython/Objects/setobject.c
Lines 2198 to 2207 in 3bd7730
Using a frozenset is possible, but this would add a bit of time to the import. On my system
%timeit frozenset(_copy_atomic_types)is about 300 nsEven faster than a
setwould be a data structure that looks only at the id of the objects involved (thesetwill use rich compare if no match is found, but that is not needed as all objects involved are singletons), but that is not available in cpython I believe.There was a problem hiding this comment.
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That's right, it's not available.
Up to you if you want to make the free-threaded build faster in the future, but we should probably check the performances on this build. For now, let's keep the set for now (hopefully you'll rememeber this)