[WIP] Re-shaping the canonical variant array to support more general …

[AdamGS]

No description provided.

[codspeed-hq]

Merging this PR will degrade performance by 24.96%

⚠️ Unknown Walltime execution environment detected

Using the Walltime instrument on standard Hosted Runners will lead to inconsistent data.

For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

⚡ 26 improved benchmarks
❌ 1 regressed benchmark
✅ 1171 untouched benchmarks

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

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
⚡	WallTime	dynamic_dispatch_f32[10M]	165.9 µs	113.7 µs	+45.95%
⚡	Simulation	take_search[(0.005, 0.05)]	167.5 µs	131.1 µs	+27.79%
⚡	Simulation	take_search[(0.005, 0.5)]	1.5 ms	1.2 ms	+31.03%
⚡	Simulation	take_search[(0.005, 0.1)]	319.7 µs	246.9 µs	+29.5%
⚡	Simulation	take_search[(0.005, 1.0)]	3.1 ms	2.3 ms	+31.25%
⚡	Simulation	take_search[(0.01, 0.05)]	178.7 µs	142.2 µs	+25.61%
⚡	Simulation	take_search[(0.01, 0.1)]	340.6 µs	267.8 µs	+27.2%
⚡	Simulation	take_search[(0.01, 0.5)]	1.6 ms	1.3 ms	+28.57%
⚡	Simulation	take_search[(0.1, 0.5)]	2.2 ms	1.8 ms	+20.42%
⚡	Simulation	take_search[(0.01, 1.0)]	3.3 ms	2.5 ms	+28.77%
⚡	Simulation	take_search_chunked[(0.005, 0.1)]	383.4 µs	321.6 µs	+19.22%
⚡	Simulation	take_search[(0.1, 0.05)]	248.4 µs	212 µs	+17.21%
⚡	Simulation	take_search_chunked[(0.005, 1.0)]	3.7 ms	3.1 ms	+20.16%
⚡	Simulation	take_search_chunked[(0.1, 1.0)]	4.9 ms	4.2 ms	+14.62%
⚡	Simulation	take_search_chunked[(0.01, 0.5)]	2 ms	1.7 ms	+18.61%
⚡	Simulation	take_search_chunked[(0.005, 0.5)]	1.9 ms	1.5 ms	+20.05%
⚡	Simulation	take_search_chunked[(0.1, 0.1)]	518.3 µs	456.3 µs	+13.58%
⚡	Simulation	take_search_chunked[(0.01, 1.0)]	3.9 ms	3.3 ms	+18.72%
⚡	Simulation	take_search[(0.1, 0.1)]	458.1 µs	385.2 µs	+18.94%
⚡	Simulation	take_search_chunked[(0.01, 0.05)]	212.7 µs	181.8 µs	+16.98%
...	...	...	...	...	...

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

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_{Comparing adamg/variant-array (ca552b5) with develop (e2062a7)}

[AdamGS]

@claude review this PR

[github-actions]

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