#
import statistics
+import time
-def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
+def bench_one(test_func, test_env, test_case, count=5, initial_run=True,
+ slow_limit=100):
"""Benchmark one test-case
test_func -- benchmarking function with prototype
test_case -- test case - opaque second argument for test_func
count -- how many times to call test_func, to calculate average
initial_run -- do initial run of test_func, which don't get into result
+ slow_limit -- stop at slow run (that exceedes the slow_limit by seconds).
+ (initial run is not measured)
Returns dict with the following fields:
'runs': list of test_func results
runs = []
for i in range(count):
+ t = time.time()
+
print(' #run {}'.format(i+1))
res = test_func(test_env, test_case)
print(' ', res)
runs.append(res)
+ if time.time() - t > slow_limit:
+ print(' - run is too slow, stop here')
+ break
+
+ count = len(runs)
+
result = {'runs': runs}
succeeded = [r for r in runs if ('seconds' in r or 'iops' in r)]