Refinement Types #7625

Performance Regression: -29.8%

⚡ 26 improved benchmarks
❌ 4 regressed benchmarks
✅ 1133 untouched benchmarks

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

	Mode	Benchmark	`BASE`	`HEAD`	Efficiency
❌	Simulation	`pack_return_dtype[1000]`	664.3 µs	942.7 µs	-29.54%
❌	Simulation	`pack_return_dtype[100]`	70.5 µs	98.1 µs	-28.13%
❌	Simulation	`pack_return_dtype[500]`	332.9 µs	474.1 µs	-29.8%
❌	Simulation	`pack_return_dtype[2000]`	1.3 ms	1.9 ms	-29.7%
⚡	Simulation	`take_search[(0.005, 0.05)]`	167.4 µs	130.8 µs	+27.97%
⚡	Simulation	`take_search[(0.005, 0.1)]`	319.5 µs	246.5 µs	+29.6%
⚡	Simulation	`take_search[(0.005, 1.0)]`	3.1 ms	2.3 ms	+31.27%
⚡	Simulation	`take_search[(0.005, 0.5)]`	1.5 ms	1.2 ms	+31.05%
⚡	Simulation	`take_search[(0.01, 0.05)]`	178.5 µs	141.9 µs	+25.77%
⚡	Simulation	`take_search[(0.01, 0.1)]`	340.4 µs	267.4 µs	+27.29%
⚡	Simulation	`take_search[(0.01, 0.5)]`	1.6 ms	1.3 ms	+28.59%
⚡	Simulation	`take_search[(0.1, 0.05)]`	248.2 µs	211.6 µs	+17.28%
⚡	Simulation	`take_search[(0.01, 1.0)]`	3.3 ms	2.5 ms	+28.78%
⚡	Simulation	`take_search[(0.1, 1.0)]`	4.3 ms	3.5 ms	+20.63%
⚡	Simulation	`take_search_chunked[(0.005, 0.05)]`	199.9 µs	168.7 µs	+18.47%
⚡	Simulation	`take_search[(0.1, 0.5)]`	2.1 ms	1.8 ms	+20.41%
⚡	Simulation	`take_search_chunked[(0.01, 0.05)]`	212.6 µs	181.5 µs	+17.16%
⚡	Simulation	`take_search_chunked[(0.005, 0.1)]`	383.3 µs	321.2 µs	+19.34%
⚡	Simulation	`take_search[(0.1, 0.1)]`	457.8 µs	384.8 µs	+18.97%
⚡	Simulation	`take_search_chunked[(0.005, 1.0)]`	3.7 ms	3.1 ms	+20.18%
...	...	...	...	...	...

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

_{Comparing ct/refinement-types (fe47467) with develop (7c2df2c)}