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Optimize list_contains with prepared constant sets - #10052

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CodSpeed / CodSpeed Performance Analysis failed Sep 29, 2026

7 benchmarks regressed

⚠️ Unknown Walltime execution environment detected

Using the Walltime instrument on standard Hosted Runners will lead to inconsistent data.

For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

⚡ 4 improved benchmarks
❌ 7 regressed benchmarks
✅ 2055 untouched benchmarks
⏩ 503 skipped benchmarks1

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
❌ WallTime dict_canonicalize_gt_u8_avx512[1000000] 422.7 µs 836.6 µs -49.47%
❌ Simulation optimize_lookup_predicate[ids=192, shape=in_list] 49.9 µs 75.9 µs -34.2%
❌ Simulation optimize_lookup_predicate[ids=128, shape=in_list] 50.6 µs 73.2 µs -30.92%
❌ Simulation optimize_lookup_predicate[ids=64, shape=in_list] 50.4 µs 70.6 µs -28.6%
❌ Simulation optimize_lookup_predicate[ids=16, shape=in_list] 51.2 µs 69.5 µs -26.23%
❌ Simulation optimize_lookup_predicate[ids=256, shape=in_list] 79.1 µs 105.3 µs -24.9%
❌ Simulation optimize_lookup_predicate[ids=1, shape=in_list] 74.4 µs 89.9 µs -17.25%
⚡ Simulation i64_random_chunked[256] 20,802.2 µs 232 µs ×90
⚡ Simulation i64_random[256] 5,685.6 µs 134.9 µs ×42
⚡ Simulation utf8_random[256] 14,403.7 µs 371.7 µs ×39
⚡ Simulation nested_list_random[32] 7.4 ms 1 ms ×7.2

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.


Comparing claude/friendly-knuth-dj6ed1-list-contains (77467d3) with rk/list-contains-benchmarks (27f94c1)

Open in CodSpeed

Footnotes

  1. 503 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩