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Alternative performance metrics in the terminal (#986)
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@@ -7,32 +7,37 @@
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# ///
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"""This script performs Welch's t-test on a JSON export file with two
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benchmark results to test for a difference in their population mean runtimes."""
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benchmark results to test for a difference in their population means."""
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import argparse
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import json
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import sys
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import math
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from scipy import stats
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from plot_utils import METRICS, add_metric_argument, load_results
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("file", help="JSON file with two benchmark results")
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add_metric_argument(parser)
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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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metric, [results] = load_results(parser, [args.file], args.metric)
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if len(results) != 2:
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print("The input file has to contain exactly two benchmarks")
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sys.exit(1)
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parser.error("the input file must contain exactly two benchmarks")
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a, b = (x.get("name", x["command"]) for x in results[:2])
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X, Y = ([m["time_wall_clock"]["value"] for m in x["measurements"]] for x in results[:2])
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X, Y = ([m[metric]["value"] for m in x["measurements"]] for x in results[:2])
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if min(len(X), len(Y)) < 2:
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parser.error("Welch's t-test requires at least two measurements per benchmark")
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print(f"Metric: {METRICS[metric].label}")
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print(f"Command 1: {a}")
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print(f"Command 2: {b}\n")
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t, p = stats.ttest_ind(X, Y, equal_var=False)
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if not math.isfinite(p):
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parser.error("Welch's t-test is undefined for these measurements")
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th = 0.05
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dispose = p < th
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print(f"t = {t:.3}, p = {p:.3}")
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@@ -40,9 +45,9 @@ print()
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if dispose:
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print(
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f"A statistically significant difference in mean runtime was detected (p < {th})."
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f"A statistically significant difference in mean value was detected (p < {th})."
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)
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else:
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print(
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f"No statistically significant difference in mean runtime was detected (p >= {th})."
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f"No statistically significant difference in mean value was detected (p >= {th})."
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)
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