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simplebench: bench_one(): add slow_limit argument
Sometimes one of cells in a testing table runs too slow. And we really don't want to wait so long. Limit number of runs in this case. Signed-off-by: Vladimir Sementsov-Ogievskiy <vsementsov@virtuozzo.com>
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@ -19,9 +19,11 @@
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#
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import statistics
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import time
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def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
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def bench_one(test_func, test_env, test_case, count=5, initial_run=True,
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slow_limit=100):
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"""Benchmark one test-case
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test_func -- benchmarking function with prototype
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@ -36,6 +38,8 @@ def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
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test_case -- test case - opaque second argument for test_func
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count -- how many times to call test_func, to calculate average
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initial_run -- do initial run of test_func, which don't get into result
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slow_limit -- stop at slow run (that exceedes the slow_limit by seconds).
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(initial run is not measured)
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Returns dict with the following fields:
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'runs': list of test_func results
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@ -53,11 +57,19 @@ def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
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runs = []
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for i in range(count):
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t = time.time()
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print(' #run {}'.format(i+1))
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res = test_func(test_env, test_case)
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print(' ', res)
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runs.append(res)
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if time.time() - t > slow_limit:
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print(' - run is too slow, stop here')
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break
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count = len(runs)
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result = {'runs': runs}
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succeeded = [r for r in runs if ('seconds' in r or 'iops' in r)]
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