def do_profiling(cls):
results = []
prof = cls.profilerclass(timer, 0.001)
start_timer = timer()
prof.runctx("testfunc()", globals(), locals())
results.append(timer() - start_timer)
for methodname in cls.methodnames:
s = StringIO()
stats = pstats.Stats(prof, stream=s)
stats.strip_dirs().sort_stats("stdname")
getattr(stats, methodname)()
output = s.getvalue().splitlines()
mod_name = testfunc.__module__.rsplit('.', 1)[1]
# Only compare against stats originating from the test file.
# Prevents outside code (e.g., the io module) from causing
# unexpected output.
output = [line.rstrip() for line in output if mod_name in line]
results.append('\n'.join(output))
return results
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