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![]() ## Summary I played with those numbers a bit locally and `sample_size=3, sample_count=8` seemed like a rather stable setup. This means a single sample consistents of 3 iterations of checking pydantic multithreaded. And this is repeated 8 times for statistics. A single check took ~300 ms previously on the runners, so this should only take 7 s. |
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benches | ||
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Cargo.toml | ||
README.md |
Ruff Benchmarks
The ruff_benchmark
crate benchmarks the linter and the formatter on individual files:
# Run once on the "baseline".
cargo bench -p ruff_benchmark -- --save-baseline=main
# Compare against the "baseline".
cargo bench -p ruff_benchmark -- --baseline=main
# Run the lexer benchmarks.
cargo bench -p ruff_benchmark lexer -- --baseline=main
See CONTRIBUTING.md on how to use these benchmarks.