hyperfine/scripts/advanced_statistics.py

35 lines
981 B
Python
Executable File

#!/usr/bin/python
import argparse
import json
import numpy as np
parser = argparse.ArgumentParser()
parser.add_argument("file", help="JSON file with benchmark results")
args = parser.parse_args()
with open(args.file) as f:
results = json.load(f)["results"]
commands = [b["command"] for b in results]
times = [b["times"] for b in results]
for command, ts in zip(commands, times):
p05 = np.percentile(ts, 5)
p25 = np.percentile(ts, 25)
p75 = np.percentile(ts, 75)
p95 = np.percentile(ts, 95)
iqr = p75 - p25
print("Command '{}'".format(command))
print(" mean: {:8.3f} s".format(np.mean(ts)))
print(" stddev: {:8.3f} s".format(np.std(ts, ddof=1)))
print(" median: {:8.3f} s".format(np.median(ts)))
print()
print(" percentiles:")
print(" P_05 .. P_95: {:.3f} s .. {:.3f} s".format(p05, p95))
print(" P_25 .. P_75: {:.3f} s .. {:.3f} s "
"(IQR = {:.3f} s)".format(p25, p75, iqr))
print()