expose execution context for validity::to_bool and remove validity mask from array vtable #7432

Performance Regression: -23.2%

⚡ 36 improved benchmarks
❌ 16 regressed benchmarks
✅ 1095 untouched benchmarks
⏩ 1455 skipped benchmarks¹

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

	Mode	Benchmark	`BASE`	`HEAD`	Efficiency
❌	Simulation	`bench_many_codes_few_values[1024]`	294 µs	367 µs	-19.9%
❌	Simulation	`bench_many_codes_few_values[2048]`	296.8 µs	369.9 µs	-19.74%
❌	Simulation	`bench_many_nulls[0.5]`	326.6 µs	364.9 µs	-10.49%
❌	Simulation	`bench_sparse_coverage[0.1]`	294 µs	367.1 µs	-19.89%
❌	Simulation	`bench_sparse_coverage[0.5]`	292.8 µs	365.9 µs	-19.96%
❌	Simulation	`bench_sparse_coverage[0.01]`	365.4 µs	438.5 µs	-16.67%
❌	Simulation	`bench_many_codes_few_values[4096]`	302.9 µs	375.9 µs	-19.43%
❌	Simulation	`bench_many_nulls[0.9]`	472.8 µs	540.3 µs	-12.49%
⚡	Simulation	`take_search[(0.005, 0.05)]`	168.4 µs	131.9 µs	+27.66%
⚡	Simulation	`take_search[(0.01, 0.1)]`	341.3 µs	268.4 µs	+27.16%
⚡	Simulation	`take_search[(0.01, 0.05)]`	179.5 µs	143 µs	+25.53%
⚡	Simulation	`take_search[(0.005, 0.5)]`	1.5 ms	1.2 ms	+31.01%
⚡	Simulation	`take_search[(0.005, 1.0)]`	3.1 ms	2.3 ms	+31.25%
⚡	Simulation	`take_search[(0.005, 0.1)]`	320.6 µs	247.6 µs	+29.44%
⚡	Simulation	`take_search[(0.01, 1.0)]`	3.3 ms	2.5 ms	+28.77%
⚡	Simulation	`take_search[(0.1, 0.05)]`	249.3 µs	212.7 µs	+17.17%
⚡	Simulation	`take_search[(0.1, 0.1)]`	458.9 µs	386 µs	+18.9%
⚡	Simulation	`take_search[(0.1, 0.5)]`	2.2 ms	1.8 ms	+20.39%
⚡	Simulation	`take_search[(0.01, 0.5)]`	1.6 ms	1.3 ms	+28.56%
⚡	Simulation	`take_search_chunked[(0.005, 0.1)]`	384.1 µs	322.3 µs	+19.17%
...	...	...	...	...	...

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

_{Comparing ji/all-around-cdtx (d634965) with develop (f747201)}

1455 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. ↩