Split up binary ScalarFn #6966

Performance Regression: -92.63%

⚡ 6 improved benchmarks
❌ 10 regressed benchmarks
✅ 993 untouched benchmarks
⏩ 1515 skipped benchmarks¹

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

	Mode	Benchmark	`BASE`	`HEAD`	Efficiency
⚡	Simulation	`pushdown_compare[(1000, 64, 4)]`	473.7 µs	390.6 µs	+21.26%
⚡	Simulation	`pushdown_compare[(1000, 4, 4)]`	472.8 µs	217.2 µs	×2.2
⚡	Simulation	`pushdown_compare[(1000, 16, 8)]`	495.4 µs	253.4 µs	+95.55%
⚡	Simulation	`pushdown_compare[(1000, 16, 4)]`	473.3 µs	243.2 µs	+94.63%
❌	Simulation	`pushdown_compare[(10000, 16, 8)]`	682.4 µs	1,548.1 µs	-55.92%
⚡	Simulation	`pushdown_compare[(1000, 4, 8)]`	474.5 µs	220.6 µs	×2.2
❌	Simulation	`pushdown_compare[(10000, 16, 4)]`	634 µs	1,438.4 µs	-55.92%
❌	Simulation	`pushdown_compare[(10000, 4, 4)]`	634 µs	1,170.5 µs	-45.84%
⚡	Simulation	`pushdown_compare[(1000, 64, 8)]`	484.4 µs	434 µs	+11.63%
❌	Simulation	`pushdown_compare[(10000, 64, 8)]`	644.5 µs	3,353.9 µs	-80.78%
❌	Simulation	`pushdown_compare[(10000, 4, 8)]`	643.2 µs	1,190.8 µs	-45.98%
❌	Simulation	`pushdown_compare[(10000, 64, 4)]`	633.6 µs	2,913.4 µs	-78.25%
❌	Simulation	`old_alp_prim_test_between[f64, 16384]`	332.9 µs	372.3 µs	-10.59%
❌	Simulation	`old_alp_prim_test_between[f64, 32768]`	541.4 µs	609.8 µs	-11.2%
❌	Simulation	`eq_pushdown_low_match`	2.3 ms	30.9 ms	-92.63%
❌	Simulation	`eq_pushdown_high_match`	2.4 ms	31.3 ms	-92.34%

_{Comparing ngates/split-binary-fn (8d922f4) with develop (fc4d111)}

1515 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. ↩