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Move filter.__new__ to Argument Clinic with @vectorcall, dropping the hand-written filter_new and filter_vectorcall. The generated vectorcall name matches the hand-written one so the tp_vectorcall slot is unchanged, and argument error messages are unchanged on both paths. pyperf microbenchmark (PGO+LTO, run serially), no significant change on the vectorcall path: | Benchmark | base | filter | |---------------------|:-------:|:---------------------:| | `filter.__new__` | 45.4 ns | 42.7 ns: 1.06x faster | | filter(bool, list) | 32.3 ns | 32.8 ns: 1.01x slower | | filter(None, range) | 30.6 ns | 31.8 ns: 1.04x slower | | Geometric mean | (ref) | 1.01x faster | Benchmark hidden because not significant (3): subclass(None, tuple), filter(None, tuple), list(filter(None, list)) filter.__new__ drops PyArg_UnpackTuple for inline clinic parsing. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Oct 28, 2026
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Move
filter.__new__to Argument Clinic with @vectorcall, dropping the hand-writtenfilter_newandfilter_vectorcall. The performance delta is within noise on my machine.pyperf microbenchmark (PGO+LTO, run serially), no significant change on the vectorcall path:
filter.__new__Benchmark hidden because not significant (3): subclass(None, tuple), filter(None, tuple), list(filter(None, list))