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Move scalar functions out of vortex-array into vortex-functions - #10762

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Move scalar functions out of vortex-array into vortex-functions

e33c436
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CodSpeed / CodSpeed Performance Analysis failed Oct 26, 2026 in 0s

Performance Regression: -21.09%

3 warnings, 1 note

⚠️ Walltime results may be unreliable

Some benchmarks used the Walltime instrument outside CodSpeed Macro Runners, which can make the results inconsistent.

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⚠️ 53 benchmarks are dominated by system calls

System calls cannot be simulated consistently and are left out of the measure. The reported value understates the real cost. Switch to the Walltime instrument to measure them.

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⚠️ Base and head ran on different runner types

Some benchmarks with significant performance changes were compared across different runner types, so the changes might not come from the code. Run base and head on the same runner type, or use CodSpeed Macro Runners for more stable results.

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ℹ️ 40 benchmarks have no flamegraph

The flamegraph wasn't generated: the symbols of the profiling trace could not be resolved, because no information about the language frames was collected.

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⚡ 15 improved benchmarks
❌ 542 regressed benchmarks
✅ 1787 untouched benchmarks
🆕 199 new benchmarks
⏩ 76 skipped benchmarks1
🗄️ 43 archived benchmarks run2

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
❌ CPU Simulation take[small_m/shuffled/primitive/nonnull/chunks=2048/indices=1] 40.6 µs 2,438.3 µs -98.34%
❌ CPU Simulation take[small_m/shuffled/primitive/nonnull/chunks=2048/indices=16] 215.5 µs 2,600.2 µs -91.71%
❌ CPU Simulation take[small_m/shuffled/primitive/nonnull/chunks=256/indices=1] 40.4 µs 341.5 µs -88.16%
❌ CPU Simulation take[small_m/shuffled/primitive/nonnull/chunks=2048/indices=64] 429.1 µs 2,778.6 µs -84.56%
❌ CPU Simulation canonicalize_sparse_fixed_size_list[(1024, 17, 8)] 469.4 µs 1,699.1 µs -72.37%
❌ CPU Simulation take[value_shape/duplicate99/struct8/nonnull/chunks=16/indices=100] 114.8 µs 366.4 µs -68.67%
❌ CPU Simulation take[small_m/shuffled/primitive/nonnull/chunks=256/indices=16] 137.7 µs 427.1 µs -67.77%
❌ CPU Simulation canonicalize_sparse_fixed_size_list[(512, 7, 4)] 477.5 µs 1,265 µs -62.25%
❌ CPU Simulation canonicalize[256, 32] 67.9 µs 174.1 µs -61.01%
❌ CPU Simulation canonicalize[1024, 32] 67.9 µs 174 µs -60.99%
❌ CPU Simulation canonicalize[16, 32] 67.9 µs 174.2 µs -60.99%
❌ CPU Simulation canonicalize_sparse_list[(512, 7, 4)] 464.3 µs 1,052.8 µs -55.9%
❌ CPU Simulation canonicalize_sparse_list[(1024, 17, 8)] 404.3 µs 890.2 µs -54.59%
❌ CPU Simulation filter_ultra_sparse[10000] 8.6 µs 18.1 µs -52.44%
❌ CPU Simulation take[value_shape/shuffled/struct8/nonnull/chunks=16/indices=100] 2.7 ms 5.7 ms -52.23%
❌ CPU Simulation take[value_shape/duplicate99/fsl8/nonnull/chunks=16/indices=100] 130.3 µs 262.8 µs -50.4%
❌ CPU Simulation filter_powerlaw_by_power_law[1000] 8.8 µs 17.7 µs -50.1%
❌ Walltime add_constant_shapes_avx2[(32768, PerRowNullableConstant)] 12.4 µs 24.6 µs -49.59%
❌ CPU Simulation filter_random_by_power_law[1000] 9 µs 17.7 µs -49.11%
❌ CPU Simulation filter_powerlaw_by_mostly_false[1000] 9.2 µs 17.8 µs -48.27%
... ... ... ... ... ...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.

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Comparing rk/split-array-06-scalar-fns (e33c436) with develop (747928a)

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Footnotes

  1. 76 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. ↩

  2. 43 benchmarks were run, but are now archived. If they were deleted in another branch, consider rebasing to remove them from the report. Instead if they were added back, click here to restore them. ↩