Add execution target that recursively canonicalises as well as canonical with canonical validity #6380

Performance Regression: -99.99%

⚡ 1 improved benchmark
❌ 52 regressed benchmarks
✅ 1082 untouched benchmarks
⏩ 1268 skipped benchmarks¹

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

	Mode	Benchmark	`BASE`	`HEAD`	Efficiency
❌	Simulation	`take_fsl_random[1024, 100]`	6.6 µs	2,002.5 µs	-99.67%
❌	Simulation	`take_fsl_nullable_random[256, 1000]`	6.6 µs	4,739.6 µs	-99.86%
❌	Simulation	`take_fsl_nullable_random[64, 100]`	6.6 µs	178 µs	-96.28%
❌	Simulation	`take_fsl_nullable_random[1024, 1000]`	6.6 µs	22,598.3 µs	-99.97%
❌	Simulation	`take_fsl_nullable_random[1024, 100]`	6.6 µs	1,999.7 µs	-99.67%
❌	Simulation	`take_fsl_nullable_random[16, 1000]`	6.6 µs	411.7 µs	-98.41%
❌	Simulation	`take_fsl_random[1024, 1000]`	6.6 µs	23,032.3 µs	-99.97%
❌	Simulation	`take_fsl_random[16, 100]`	6.6 µs	70.6 µs	-90.63%
❌	Simulation	`take_fsl_random[16, 1000]`	6.6 µs	377.4 µs	-98.26%
❌	Simulation	`take_fsl_nullable_random[16, 100]`	8 µs	96.2 µs	-91.71%
❌	Simulation	`take_fsl_nullable_random[4096, 100]`	6.6 µs	8,104.3 µs	-99.92%
❌	Simulation	`take_fsl_nullable_random[256, 100]`	6.6 µs	538.1 µs	-98.78%
❌	Simulation	`take_fsl_random[4096, 100]`	6.6 µs	8,191.5 µs	-99.92%
❌	Simulation	`take_fsl_nullable_random[4096, 1000]`	6.6 µs	90,781.9 µs	-99.99%
❌	Simulation	`take_fsl_random[256, 100]`	6.6 µs	530.6 µs	-98.75%
❌	Simulation	`take_fsl_nullable_random[64, 1000]`	6.6 µs	1,277.2 µs	-99.48%
❌	Simulation	`take_fsl_random[256, 1000]`	6.6 µs	4,933.7 µs	-99.87%
❌	Simulation	`take_fsl_random[4096, 1000]`	6.6 µs	92,697.2 µs	-99.99%
❌	Simulation	`take_fsl_random[64, 100]`	6.6 µs	162.4 µs	-95.95%
❌	Simulation	`take_fsl_random[64, 1000]`	6.6 µs	1,288.3 µs	-99.49%
...	...	...	...	...	...

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

_{Comparing rk/recursivecanonical (90b387b) with develop (6135037)}

1268 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. ↩