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Specialize for concrete sequence types (`list` and `tuple`) for faster iteration, since the traversal code is very hot. I used log tracing (#19457) to identify functions where PyObject_GetIter was called frequently. This is a aart of a set of micro-optimizations that improve self check performance by ~5.5%.
JukkaL
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Jul 16, 2025
Specialize a hot for loop for the concrete `tuple` and `list` types. Also add a fast path for empty type arguments. The approach is similar to what I used in #19459. This is a part of a set of micro-optimizations that improve self check performance by ~5.5%.
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According to mypy_primer, this change doesn't affect type check results on a corpus of open source code. ✅ |
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JukkaL
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Jul 17, 2025
Specialize a hot for loop for the concrete `tuple` and `list` types. Also add a fast path for empty type arguments. The approach is similar to what I used in #19459. This is a part of a set of micro-optimizations that improve self check performance by ~5.5%.
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This is very similar to #19461, which is already merged, so I won't wait for a separate code review here. |
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JukkaL
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Jul 18, 2025
Specialize iteration for the concrete types `list` and `tuple`, since this is faster than iterating over an abstract iterable in compiled code. Also avoid constructing many temporary lists. Duplicate some very hot code in the hopes further improving performance slightly, through inlining and possibly also better branch prediction. The approach is similar to what I used in #19459. This is a part of a set of micro-optimizations that improve self check performance by ~5.5%.
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Specialize for concrete sequence types (list and tuple) for faster iteration, since the traversal code is very hot.
I used trace logging (#19457) to identify functions where PyObject_GetIter was called frequently.
This is a part of a set of micro-optimizations that improve self check performance by ~5.5%.