"""Auto-generated example: Plot Type: Curve."""
import bencher as bn
import math
import random
class LatencyNoisyProfile(bn.ParametrizedSweep):
"""Latency with noise as a function of load."""
load = bn.FloatSweep(default=0.5, bounds=[0.0, 1.0])
noise_scale = bn.FloatSweep(default=0.0, bounds=[0.0, 1.0])
distance = bn.ResultFloat("m", doc="Latency distance metric")
def benchmark(self):
self.distance = math.sin(math.pi * self.load) + 0.5
if self.noise_scale > 0:
self.distance += random.gauss(0, self.noise_scale)
def example_plot_curve(run_cfg: bn.BenchRunCfg | None = None) -> bn.Bench:
"""Plot Type: Curve."""
bench = LatencyNoisyProfile().to_bench(run_cfg)
res = bench.plot_sweep(input_vars=["load"], result_vars=["distance"], const_vars=dict(noise_scale=0.15))
bench.report.append(res.to_curve())
return bench
if __name__ == "__main__":
bn.run(example_plot_curve, subsampling_divisions=3, repeats=5)