Add f64 sum benchmarks

[dimitarvdimitrov]

Adds f64 cases to the aggregate_sum and aggregate_grouped benchmarks in vortex-array, to establish a baseline before changing float summation to Kahan (Neumaier) compensated summation.

[codspeed-hq]

Merging this PR will degrade performance by 16.2%

⚠️ 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.

❌ 2 regressed benchmarks
✅ 1530 untouched benchmarks
🆕 4 new benchmarks

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
❌	Simulation	chunked_varbinview_canonical_into[(1000, 10)]	161.8 µs	198 µs	-18.25%
❌	Simulation	varbinview_large	113.3 µs	131.9 µs	-14.1%
🆕	Simulation	sum_f64_all_valid	N/A	294.2 µs	N/A
🆕	Simulation	sum_f64_clustered_nulls	N/A	553.3 µs	N/A
🆕	Simulation	sum_f64	N/A	711.9 µs	N/A
🆕	Simulation	sum_f64_nulls_clustered	N/A	629.1 µs	N/A

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 mitko/sum/f64-bench (4c8059c) with develop (eda4dd0)¹}

Footnotes

1. No successful run was found on develop (82b24cd) during the generation of this report, so eda4dd0 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩