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40 lines
1.1 KiB
Python
Executable File
40 lines
1.1 KiB
Python
Executable File
#!/usr/bin/env python
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import argparse
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import json
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import numpy as np
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parser = argparse.ArgumentParser()
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parser.add_argument("file", help="JSON file with benchmark results")
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args = parser.parse_args()
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with open(args.file) as f:
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results = json.load(f)["results"]
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commands = [b["command"] for b in results]
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times = [b["times"] for b in results]
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for command, ts in zip(commands, times):
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p05 = np.percentile(ts, 5)
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p25 = np.percentile(ts, 25)
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p75 = np.percentile(ts, 75)
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p95 = np.percentile(ts, 95)
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iqr = p75 - p25
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print("Command '{}'".format(command))
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print(" runs: {:8d}".format(len(ts)))
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print(" mean: {:8.3f} s".format(np.mean(ts)))
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print(" stddev: {:8.3f} s".format(np.std(ts, ddof=1)))
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print(" median: {:8.3f} s".format(np.median(ts)))
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print(" min: {:8.3f} s".format(np.min(ts)))
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print(" max: {:8.3f} s".format(np.max(ts)))
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print()
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print(" percentiles:")
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print(" P_05 .. P_95: {:.3f} s .. {:.3f} s".format(p05, p95))
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print(
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" P_25 .. P_75: {:.3f} s .. {:.3f} s "
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"(IQR = {:.3f} s)".format(p25, p75, iqr)
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)
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print()
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