Bind expressions before optimization - #9514
Performance Regression: -9.77%
⚠️ Unknown Walltime execution environment detected
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For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.
⚡ 1 improved benchmark
❌ 7 regressed benchmarks
✅ 1973 untouched benchmarks
⏩ 54 skipped benchmarks1
Warning
Please fix the performance issues or acknowledge them on CodSpeed.
Performance Changes
| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ❌ | Simulation | optimize_lookup_predicate[ids=1, shape=balanced_or] |
46.3 µs | 59.5 µs | -22.17% |
| ❌ | Simulation | optimize_lookup_predicate[ids=64, shape=in_list] |
44.5 µs | 55.8 µs | -20.37% |
| ❌ | Simulation | optimize_lookup_predicate[ids=128, shape=in_list] |
44.7 µs | 55.6 µs | -19.74% |
| ❌ | Simulation | optimize_lookup_predicate[ids=256, shape=in_list] |
45.8 µs | 56.6 µs | -19.02% |
| ❌ | Simulation | optimize_lookup_predicate[ids=192, shape=in_list] |
45.5 µs | 55.8 µs | -18.51% |
| ❌ | Simulation | optimize_lookup_predicate[ids=16, shape=in_list] |
44.7 µs | 54.7 µs | -18.21% |
| ❌ | Simulation | optimize_lookup_predicate[ids=16, shape=balanced_or] |
86.8 µs | 100.8 µs | -13.9% |
| ⚡ | Simulation | optimize_lookup_predicate[ids=1, shape=in_list] |
151.2 µs | 79.6 µs | +90.02% |
Tip
Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.
Comparing mk/bound-expression-optimize (b7074f4) with develop (e4b3421)
Footnotes
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54 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. ↩