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scripts/simplebench: use standard deviation for +- error
Standard deviation is more usual to see after +- than current maximum of deviations. Signed-off-by: Vladimir Sementsov-Ogievskiy <vsementsov@virtuozzo.com> Message-Id: <20201021145859.11201-16-vsementsov@virtuozzo.com> Reviewed-by: Max Reitz <mreitz@redhat.com> Signed-off-by: Max Reitz <mreitz@redhat.com>
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@ -18,6 +18,8 @@
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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import statistics
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def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
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"""Benchmark one test-case
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@ -40,7 +42,7 @@ def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
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'dimension': dimension of results, may be 'seconds' or 'iops'
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'average': average value (iops or seconds) per run (exists only if at
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least one run succeeded)
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'delta': maximum delta between test_func result and the average
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'stdev': standard deviation of results
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(exists only if at least one run succeeded)
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'n-failed': number of failed runs (exists only if at least one run
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failed)
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@ -67,10 +69,9 @@ def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
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assert all('seconds' in r for r in succeeded)
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assert all('iops' not in r for r in succeeded)
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dim = 'seconds'
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avg = sum(r[dim] for r in succeeded) / len(succeeded)
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result['dimension'] = dim
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result['average'] = avg
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result['delta'] = max(abs(r[dim] - avg) for r in succeeded)
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result['average'] = statistics.mean(r[dim] for r in succeeded)
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result['stdev'] = statistics.stdev(r[dim] for r in succeeded)
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if len(succeeded) < count:
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result['n-failed'] = count - len(succeeded)
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@ -81,7 +82,7 @@ def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
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def ascii_one(result):
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"""Return ASCII representation of bench_one() returned dict."""
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if 'average' in result:
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s = '{:.2f} +- {:.2f}'.format(result['average'], result['delta'])
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s = '{:.2f} +- {:.2f}'.format(result['average'], result['stdev'])
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if 'n-failed' in result:
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s += '\n({} failed)'.format(result['n-failed'])
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return s
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