Use PiecewiseSequence indices for FSL take by danking · Pull Request #8800 · vortex-data/vortex

2 benchmarks regressed

⚡ 18 improved benchmarks
❌ 2 regressed benchmarks
✅ 1650 untouched benchmarks
🆕 128 new benchmarks
⏩ 44 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

	Mode	Benchmark	`BASE`	`HEAD`	Efficiency
❌	Simulation	`copy_nullable[65536]`	1 ms	1.4 ms	-24.31%
❌	Simulation	`copy_non_nullable[65536]`	908.5 µs	1,089.7 µs	-16.63%
⚡	Simulation	`take_fsl_random[1024, 1000]`	15.2 ms	6 ms	×2.5
⚡	Simulation	`take_fsl_nullable_random[1024, 1000]`	14.8 ms	6 ms	×2.5
⚡	Simulation	`take_fsl_random[256, 1000]`	3.5 ms	1.5 ms	×2.2
⚡	Simulation	`take_fsl_nullable_random[256, 1000]`	3.4 ms	1.5 ms	×2.2
⚡	Simulation	`take_fsl_random[1024, 100]`	1,568.2 µs	794.8 µs	+97.3%
⚡	Simulation	`take_fsl_nullable_random[1024, 100]`	1,535.6 µs	804.9 µs	+90.78%
⚡	Simulation	`take_fsl_random[64, 1000]`	815.9 µs	456.9 µs	+78.58%
⚡	Simulation	`take_fsl_random[256, 100]`	418.5 µs	234.8 µs	+78.24%
⚡	Simulation	`take_fsl_nullable_random[64, 1000]`	812 µs	472.4 µs	+71.87%
⚡	Simulation	`take_fsl_nullable_random[256, 100]`	415.6 µs	244.9 µs	+69.71%
⚡	Simulation	`take_fsl_random[16, 1000]`	238.1 µs	179 µs	+32.99%
⚡	Simulation	`take_fsl_nullable_random[16, 1000]`	257.7 µs	194.3 µs	+32.63%
⚡	Simulation	`take_fsl_random[64, 100]`	123.3 µs	94.6 µs	+30.28%
⚡	Simulation	`take_fsl_random[4096, 1000]`	67.3 ms	54.2 ms	+24.2%
⚡	Simulation	`take_fsl_nullable_random[64, 100]`	131.6 µs	107.4 µs	+22.53%
⚡	Simulation	`take_fsl_nullable_random[4096, 1000]`	65.6 ms	54.2 ms	+20.92%
⚡	Simulation	`true_count_vortex_buffer[128]`	580.6 ns	522.2 ns	+11.17%
⚡	Simulation	`take_fsl_random[4096, 100]`	6.2 ms	5.6 ms	+10.07%
...	...	...	...	...	...

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

Tip

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

_{Comparing codex/piecewise-sequential-take (10ef731) with develop (05c7c2f)}

44 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. ↩