Speed up SCC dependency inference#18299
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hauntsaninja merged 1 commit intomasterfrom Dec 16, 2024
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Avoid redundant computation of `frozenset(scc)`. This helps with incremental type checking of torch, since it has a big SCC. In my measurements this speeds up incremental checking of `-c "import torch"` by about 11%.
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According to mypy_primer, this change doesn't affect type check results on a corpus of open source code. ✅ |
cdce8p
reviewed
Dec 16, 2024
| sccs: list[set[T]], edges: dict[T, list[T]] | ||
| ) -> dict[AbstractSet[T], set[AbstractSet[T]]]: | ||
| """Use original edges to organize SCCs in a graph by dependencies between them.""" | ||
| sccsmap = {v: frozenset(scc) for scc in sccs for v in scc} |
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If you wanted to keep the dict comprehension, you could use an assignment expression
sccsmap = {v: s for scc in sccs if (s := frozenset(scc)) is not None for v in scc} # type: ignore[redundant-expr]It adds an additional if not None check for each scc that's always true but necessary to use :=.
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Good point, but I think this version is clearer
hauntsaninja
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Dec 16, 2024
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To provide an additional data point. I'm seeing a ~10% improvement 🚀 on full runs (without cache) for Home Assistant. Just this PR and #18298. Before 3:21 |
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Avoid redundant computation of
frozenset(scc).This helps with incremental type checking of torch, since it has a big SCC. In my measurements this speeds up incremental checking of
-c "import torch"by about 11%.