Benchmarks for fixed-width array filtering

[robert3005]

Benchmarks for filtering fixed width types

[codspeed-hq]

Merging this PR will not alter performance

⚡ 7 improved benchmarks
❌ 2 regressed benchmarks
✅ 1628 untouched benchmarks
🆕 31 new benchmarks
⏩ 38 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
❌	Simulation	chunked_varbinview_canonical_into[(1000, 10)]	154.6 µs	189.6 µs	-18.48%
❌	Simulation	slice_empty_vortex	339.4 ns	397.8 ns	-14.66%
⚡	Simulation	bitwise_not_vortex_buffer_mut[128]	244.4 ns	186.1 ns	+31.34%
⚡	Simulation	bitwise_not_vortex_buffer_mut[1024]	304.7 ns	246.4 ns	+23.68%
⚡	Simulation	bitwise_not_vortex_buffer_mut[2048]	398.6 ns	340.3 ns	+17.14%
⚡	Simulation	encode_varbin[(10000, 2)]	977.1 µs	835.5 µs	+16.95%
⚡	Simulation	chunked_varbinview_into_canonical[(100, 100)]	307.4 µs	272.1 µs	+12.96%
⚡	Simulation	chunked_varbinview_opt_canonical_into[(100, 100)]	340.6 µs	305.5 µs	+11.46%
⚡	Simulation	compare_int_constant	298.7 µs	268.6 µs	+11.19%
🆕	Simulation	cached_indices_i128[0.01]	N/A	28.4 µs	N/A
🆕	Simulation	cached_indices_i128[0.1]	N/A	82 µs	N/A
🆕	Simulation	cached_indices_i32[0.01]	N/A	22.3 µs	N/A
🆕	Simulation	cached_indices_i32[0.1]	N/A	55.3 µs	N/A
🆕	Simulation	patterns_i128[Contiguous]	N/A	234.3 µs	N/A
🆕	Simulation	patterns_i128[Random]	N/A	290.3 µs	N/A
🆕	Simulation	patterns_i128[Runs]	N/A	237 µs	N/A
🆕	Simulation	random_i128[0.01]	N/A	29 µs	N/A
🆕	Simulation	random_i128[0.5]	N/A	289.8 µs	N/A
🆕	Simulation	random_i128[0.8]	N/A	388.7 µs	N/A
🆕	Simulation	random_i128[0.95]	N/A	305.4 µs	N/A
...	...	...	...	...	...

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

Tip

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

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_{Comparing rk/filterbufferbench (5a6525f) with develop (d2b2378)}

Footnotes

1. 38 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. ↩