test[gpu]: expand cuDF CUDA e2e coverage

[0ax1]

Expand the CUDA cuDF end-to-end harness with boolean columns, sliced primitive and boolean columns, and nullable timestamp millisecond coverage.

[codspeed-hq]

Merging this PR will not alter performance

⚠️ 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.

⚡ 3 improved benchmarks
❌ 4 regressed benchmarks
✅ 1538 untouched benchmarks
⏩ 10 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
❌	Simulation	decompress_rd[f64, (100000, 0.0)]	845.5 µs	1,024 µs	-17.44%
❌	Simulation	decompress_rd[f32, (100000, 0.0)]	499.1 µs	586.5 µs	-14.89%
❌	Simulation	bitwise_not_vortex_buffer_mut[128]	186.1 ns	215.3 ns	-13.55%
❌	Simulation	bitwise_not_vortex_buffer_mut[1024]	246.4 ns	275.6 ns	-10.58%
⚡	Simulation	decompress_rd[f64, (100000, 0.01)]	981.2 µs	845.4 µs	+16.07%
⚡	Simulation	decompress_rd[f64, (100000, 0.1)]	981.2 µs	845.4 µs	+16.06%
⚡	Simulation	encode_varbin[(1000, 2)]	176.1 µs	157.7 µs	+11.66%

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 ad/expand-cudf-e2e-tests (e6b7071) with develop (b2c9e79)}

Footnotes

1. 10 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. ↩