| #!/usr/bin/env python | |
| import argparse | |
| import sys | |
| have_scipy = True | |
| try: | |
| import scipy.stats | |
| except: | |
| have_scipy = False | |
| SIGNIFICANCE_THRESHOLD = 0.0001 | |
| parser = argparse.ArgumentParser( | |
| formatter_class=argparse.RawDescriptionHelpFormatter, | |
| description='Compare performance of two runs from nanobench.') | |
| parser.add_argument('--use_means', action='store_true', default=False, | |
| help='Use means to calculate performance ratios.') | |
| parser.add_argument('baseline', help='Baseline file.') | |
| parser.add_argument('experiment', help='Experiment file.') | |
| args = parser.parse_args() | |
| a,b = {},{} | |
| for (path, d) in [(args.baseline, a), (args.experiment, b)]: | |
| for line in open(path): | |
| try: | |
| tokens = line.split() | |
| if tokens[0] != "Samples:": | |
| continue | |
| samples = tokens[1:-1] | |
| label = tokens[-1] | |
| d[label] = map(float, samples) | |
| except: | |
| pass | |
| common = set(a.keys()).intersection(b.keys()) | |
| def mean(xs): | |
| return sum(xs) / len(xs) | |
| ps = [] | |
| for key in common: | |
| p, asem, bsem = 0, 0, 0 | |
| m = mean if args.use_means else min | |
| am, bm = m(a[key]), m(b[key]) | |
| if have_scipy: | |
| _, p = scipy.stats.mannwhitneyu(a[key], b[key]) | |
| asem, bsem = scipy.stats.sem(a[key]), scipy.stats.sem(b[key]) | |
| ps.append((bm/am, p, key, am, bm, asem, bsem)) | |
| ps.sort(reverse=True) | |
| def humanize(ns): | |
| for threshold, suffix in [(1e9, 's'), (1e6, 'ms'), (1e3, 'us'), (1e0, 'ns')]: | |
| if ns > threshold: | |
| return "%.3g%s" % (ns/threshold, suffix) | |
| maxlen = max(map(len, common)) | |
| # We print only signficant changes in benchmark timing distribution. | |
| bonferroni = SIGNIFICANCE_THRESHOLD / len(ps) # Adjust for the fact we've run multiple tests. | |
| for ratio, p, key, am, bm, asem, bsem in ps: | |
| if p < bonferroni: | |
| str_ratio = ('%.2gx' if ratio < 1 else '%.3gx') % ratio | |
| if args.use_means: | |
| print '%*s\t%6s(%6s) -> %6s(%6s)\t%s' % (maxlen, key, humanize(am), humanize(asem), | |
| humanize(bm), humanize(bsem), str_ratio) | |
| else: | |
| print '%*s\t%6s -> %6s\t%s' % (maxlen, key, humanize(am), humanize(bm), str_ratio) |