Use upstream ALP crate instead of our own implementation

[robert3005]

Use ALP crate which is the standalone implementation not tied to vortex

[codspeed-hq]

Merging this PR will improve performance by 27.69%

⚡ 29 improved benchmarks
✅ 1813 untouched benchmarks
⏩ 55 skipped benchmarks¹

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
⚡	Simulation	alp_rd_compress_f64	28.3 ms	2.7 ms	×10
⚡	Simulation	compress_alp[f32, (10000, 0.1, 0.95)]	312.4 µs	244.1 µs	+27.97%
⚡	Simulation	take_map[(0.1, 1.0)]	2.2 ms	1.7 ms	+27.77%
⚡	Simulation	compress_alp[f32, (10000, 0.01, 1.0)]	253.2 µs	198.2 µs	+27.73%
⚡	Simulation	compress_alp[f32, (10000, 0.1, 1.0)]	267.5 µs	209.5 µs	+27.71%
⚡	Simulation	compress_alp[f32, (10000, 0.01, 0.25)]	262.4 µs	209.7 µs	+25.13%
⚡	Simulation	compress_alp[f32, (10000, 0.01, 0.95)]	264.3 µs	211.5 µs	+25%
⚡	Simulation	compress_alp[f32, (10000, 0.1, 0.25)]	302.3 µs	244.6 µs	+23.56%
⚡	Simulation	compress_rd[f32, (100000, 0.1)]	2.4 ms	2 ms	+19.55%
⚡	Simulation	take_map[(0.1, 0.5)]	1,182.5 µs	990.5 µs	+19.39%
⚡	Simulation	compress_rd[f32, (100000, 0.01)]	2.3 ms	2 ms	+18.79%
⚡	Simulation	compress_rd[f32, (100000, 0.0)]	2.3 ms	2 ms	+18.7%
⚡	Simulation	compress_alp[f64, (10000, 0.1, 1.0)]	345 µs	291.2 µs	+18.5%
⚡	Simulation	compress_alp[f64, (10000, 0.01, 1.0)]	325.7 µs	274.8 µs	+18.49%
⚡	Simulation	compress_alp[f64, (10000, 0.01, 0.25)]	335.2 µs	286.3 µs	+17.11%
⚡	Simulation	compress_rd[f32, (10000, 0.1)]	258.7 µs	221.3 µs	+16.91%
⚡	Simulation	compress_alp[f64, (10000, 0.1, 0.95)]	387 µs	331.1 µs	+16.87%
⚡	Simulation	compress_alp[f64, (10000, 0.01, 0.95)]	336.8 µs	288.6 µs	+16.71%
⚡	Simulation	compress_rd[f32, (10000, 0.0)]	258.3 µs	221.4 µs	+16.66%
⚡	Simulation	compress_rd[f32, (10000, 0.01)]	257.5 µs	221.3 µs	+16.35%
...	...	...	...	...	...

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

Tip

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_{Comparing rk/alp02 (1231400) with develop (3226d32)}

Footnotes

1. 55 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. ↩