feat[array]: use execute to return Canonical array not Vector pt2

[joseph-isaacs]

No description provided.

[0ax1]

Is execute_decompress a good fn name, given that execute has a particular meaning how it fits into the bigger picture? execute_decompress is just a one off inner fn. Not sure what I'm looking for here but execute_decompress suggests to me that this is a fn that is part of a pattern that is also used in other locations, which it isn't.

[0ax1]

no more drop?

[joseph-isaacs]

you dont need ?

[0ax1]

2 remarks

[codspeed-hq]

Merging this PR will degrade performance by 66.33%

❌ 36 regressed benchmarks
✅ 215 untouched benchmarks
⏩ 1003 skipped benchmarks¹

⚠️ Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Benchmark	BASE	HEAD	Efficiency
❌	decompress_alp[f64, (1000, 0.0, 1.0)]	11.9 µs	18.4 µs	-35.07%
❌	decompress_alp[f64, (1000, 0.01, 1.0)]	15.1 µs	20.9 µs	-27.94%
❌	decompress_alp[f64, (1000, 0.0, 0.95)]	12.1 µs	17.9 µs	-32.76%
❌	decompress_alp[f64, (1000, 0.01, 0.25)]	15.4 µs	21.3 µs	-27.57%
❌	decompress_alp[f32, (1000, 0.0, 0.95)]	9.3 µs	13.1 µs	-29.6%
❌	decompress_alp[f64, (1000, 0.1, 1.0)]	16.3 µs	22.8 µs	-28.48%
❌	decompress_alp[f64, (1000, 0.01, 0.95)]	15.2 µs	21.1 µs	-27.71%
❌	decompress_alp[f64, (10000, 0.0, 0.25)]	54.7 µs	162 µs	-66.23%
❌	decompress_alp[f32, (1000, 0.0, 0.25)]	9.1 µs	13.1 µs	-30.4%
❌	decompress_alp[f64, (1000, 0.1, 0.25)]	15.3 µs	21.7 µs	-29.47%
❌	decompress_alp[f32, (1000, 0.01, 0.25)]	12.7 µs	16.9 µs	-24.87%
❌	decompress_alp[f32, (1000, 0.01, 0.95)]	12.5 µs	16.2 µs	-22.54%
❌	decompress_alp[f64, (1000, 0.1, 0.95)]	17.2 µs	22.5 µs	-23.39%
❌	decompress_alp[f32, (1000, 0.0, 1.0)]	9.1 µs	12.9 µs	-29.6%
❌	decompress_alp[f64, (10000, 0.0, 0.95)]	54.7 µs	162.2 µs	-66.26%
❌	decompress_alp[f32, (1000, 0.01, 1.0)]	12.4 µs	16.1 µs	-23.19%
❌	decompress_alp[f64, (10000, 0.01, 0.25)]	58.6 µs	165.9 µs	-64.66%
❌	decompress_alp[f32, (1000, 0.1, 0.25)]	12.6 µs	16.6 µs	-24.36%
❌	decompress_alp[f64, (10000, 0.01, 0.95)]	59.3 µs	166.8 µs	-64.44%
❌	decompress_alp[f64, (10000, 0.0, 1.0)]	54.6 µs	162.1 µs	-66.33%
...	...	...	...	...

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

---

_{Comparing ji/execute-operator-2 (d96b06c) with develop (4b9fc90)}

Footnotes

1. 1003 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. ↩