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hub / github.com/benoitc/gunicorn / from_samples

Method from_samples

benchmarks/dirty_benchmark.py:78–94  ·  view source on GitHub ↗

Calculate statistics from list of latency samples.

(cls, samples: list[float])

Source from the content-addressed store, hash-verified

76
77 @classmethod
78 def from_samples(cls, samples: list[float]) -> "LatencyStats":
79 """Calculate statistics from list of latency samples."""
80 if not samples:
81 return cls()
82
83 sorted_samples = sorted(samples)
84 n = len(sorted_samples)
85
86 return cls(
87 min=sorted_samples[0],
88 max=sorted_samples[-1],
89 mean=statistics.mean(sorted_samples),
90 stddev=statistics.stdev(sorted_samples) if n > 1 else 0.0,
91 p50=sorted_samples[int(n * 0.50)],
92 p95=sorted_samples[int(n * 0.95)] if n >= 20 else sorted_samples[-1],
93 p99=sorted_samples[int(n * 0.99)] if n >= 100 else sorted_samples[-1],
94 )
95
96
97@dataclass

Callers 5

run_isolated_suiteFunction · 0.80
run_payload_suiteFunction · 0.80
run_quick_testFunction · 0.80
run_config_sweepFunction · 0.80
mainFunction · 0.80

Calls

no outgoing calls

Tested by

no test coverage detected