Avoid allocating Vec of chunks just to copy it in ChunkedArray constructor

[robert3005]

We fix cases where we were passing a vec that was immediately deallocated by
passing an impl IntoIterator where possible

For other cases we add a new constructor that leverages process_results in the
caller and a size hint to avoid materialising list of items just to check the
error case

[codspeed]

Merging this PR will regress 4 benchmarks

⚠️ 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

⚡ 10 improved benchmarks
❌ 4 regressed benchmarks
✅ 2191 untouched benchmarks
⏩ 218 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
❌	WallTime	mul_u64_nonnull_neon	15.3 µs	21.5 µs	-28.65%
❌	Simulation	decompress[u64, (4000, 1024)]	72.2 µs	86.7 µs	-16.68%
❌	WallTime	mul_i64_nonnull_neon	17.3 µs	20.6 µs	-16.26%
❌	WallTime	multiply_shapes_neon[(16384, PerRowPerRow)]	17.3 µs	20.6 µs	-16.06%
⚡	WallTime	filtered_owned_i64_avx2[OneNullInEight]	25.7 µs	22.1 µs	+16.23%
⚡	WallTime	dict_canonicalize_gt_u8_avx512[16000000]	7.7 ms	6.8 ms	+14.32%
⚡	Simulation	canonicalize[256, 32]	50.9 µs	44.7 µs	+13.93%
⚡	Simulation	canonicalize[1024, 32]	50.7 µs	44.5 µs	+13.73%
⚡	Simulation	canonicalize[16, 32]	52.5 µs	46.4 µs	+13.18%
⚡	Simulation	allocate_drop_vortex_minimal_alignment[0]	1,077.2 ns	968.9 ns	+11.18%
⚡	Simulation	allocate_drop_vortex[0]	1.1 µs	1 µs	+10.57%
⚡	Simulation	decompress[u64, (4000, 4)]	140 µs	126.7 µs	+10.53%
⚡	Simulation	allocate_drop_bytes[0]	581.3 ns	527.2 ns	+10.27%
⚡	Simulation	canonicalize[1024, 8]	38.1 µs	34.5 µs	+10.26%

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

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_{Comparing rk/new_unchecked (d5424e5) with develop (90bee5f)}

Footnotes

1. 218 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. ↩