chore[cuda]: decimal_byte_parts

[joseph-isaacs]

No description provided.

[codspeed-hq]

CodSpeed Performance Report

Merging this PR will degrade performance by 39.81%

_{Comparing ji/dbp-cuda (9760e67) with develop (9c6399a)}

⚠️ 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.

Summary

⚡ 5 improved benchmarks
❌ 10 regressed benchmarks
✅ 1259 untouched benchmarks
⏩ 1254 skipped benchmarks¹

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

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
⚡	WallTime	u16_FoR[10M]	11 µs	6.4 µs	+72.15%
⚡	WallTime	u32_FoR[1K]	7 µs	6 µs	+16.15%
❌	WallTime	u8_FoR[10K]	5.7 µs	7 µs	-17.59%
❌	WallTime	u32_FoR[10K]	6.3 µs	7.7 µs	-18.7%
❌	WallTime	u64_FoR[10K]	8.2 µs	13.7 µs	-39.81%
⚡	WallTime	u8_FoR[10M]	6.4 µs	5.7 µs	+13.02%
❌	Simulation	canonical_into_non_nullable[(10000, 100, 0.0)]	1.9 ms	2.7 ms	-29.74%
❌	Simulation	canonical_into_non_nullable[(10000, 100, 0.1)]	3.7 ms	4.5 ms	-18.16%
❌	Simulation	canonical_into_non_nullable[(10000, 100, 0.01)]	2.1 ms	2.9 ms	-27.4%
❌	Simulation	into_canonical_non_nullable[(10000, 100, 0.1)]	3.8 ms	4.6 ms	-17.65%
⚡	Simulation	canonical_into_nullable[(10000, 10, 0.0)]	529.1 µs	444.1 µs	+19.14%
⚡	Simulation	canonical_into_nullable[(10000, 100, 0.0)]	4.9 ms	4.1 ms	+19.82%
❌	Simulation	into_canonical_nullable[(10000, 100, 0.0)]	4.4 ms	5.2 ms	-15.55%
❌	Simulation	into_canonical_non_nullable[(10000, 100, 0.01)]	2.2 ms	3 ms	-26.83%
❌	Simulation	into_canonical_non_nullable[(10000, 100, 0.0)]	1.9 ms	2.7 ms	-29.43%

Footnotes

1. 1254 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. ↩

[0ax1]

Clarify this comment, and make it less Claudy.

[joseph-isaacs]

This is ME

[0ax1]

ptpye => ptype

[0ax1]

2 nits looks good otherwise