chore[array]: move take kernel to execute/reduce rules #6310

Performance Regression: -98.61%

⚡ 25 improved benchmarks
❌ 26 regressed benchmarks
✅ 1087 untouched benchmarks
⏩ 1265 skipped benchmarks¹

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

	Mode	Benchmark	`BASE`	`HEAD`	Efficiency
❌	Simulation	`bench_many_nulls[0.9]`	469.4 µs	535.2 µs	-12.29%
⚡	Simulation	`take_fsl_nullable_random[256, 1000]`	4.7 ms	2.2 ms	×2.2
⚡	Simulation	`take_fsl_nullable_random[16, 1000]`	399.6 µs	219.9 µs	+81.68%
⚡	Simulation	`take_fsl_nullable_random[1024, 1000]`	22.6 ms	8.9 ms	×2.5
⚡	Simulation	`take_fsl_nullable_random[16, 100]`	123.4 µs	109.8 µs	+12.4%
⚡	Simulation	`take_fsl_nullable_random[4096, 1000]`	90.8 ms	35.3 ms	×2.6
⚡	Simulation	`take_fsl_nullable_random[64, 1000]`	1,265.7 µs	609.7 µs	×2.1
⚡	Simulation	`take_fsl_random[1024, 1000]`	23 ms	8.9 ms	×2.6
⚡	Simulation	`take_fsl_nullable_random[64, 100]`	165.9 µs	100 µs	+65.94%
⚡	Simulation	`take_fsl_nullable_random[1024, 100]`	1,987.3 µs	929 µs	×2.1
⚡	Simulation	`take_fsl_nullable_random[4096, 100]`	8.1 ms	3.6 ms	×2.3
⚡	Simulation	`take_fsl_random[1024, 100]`	1,992.7 µs	913.1 µs	×2.2
⚡	Simulation	`take_fsl_random[16, 1000]`	367.3 µs	178.7 µs	×2.1
⚡	Simulation	`take_fsl_nullable_random[256, 100]`	525.8 µs	261.4 µs	×2
⚡	Simulation	`take_fsl_random[4096, 100]`	8.2 ms	3.6 ms	×2.3
⚡	Simulation	`take_fsl_random[256, 1000]`	4.9 ms	2.3 ms	×2.2
⚡	Simulation	`take_fsl_random[16, 100]`	60.5 µs	42.3 µs	+43.1%
⚡	Simulation	`take_fsl_random[64, 1000]`	1,278.2 µs	593.8 µs	×2.2
⚡	Simulation	`take_fsl_random[4096, 1000]`	92.7 ms	35.5 ms	×2.6
⚡	Simulation	`take_fsl_random[64, 100]`	152.5 µs	83.6 µs	+82.53%
...	...	...	...	...	...

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

1265 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. ↩