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How to use local_concurrency method in stestr

Best Python code snippet using stestr_python

parallel.py

Source:parallel.py

...103    Each test is run in its own process, and we assume that the optimal number104    is one per core.105    """106    # TODO: limit by memory as well.107    procs = local_concurrency()108    return procs109def partition_tests(test_ids, count):110    """Partition suite into count lists of tests."""111    # This just assigns tests in a round-robin fashion.  On one hand this112    # splits up blocks of related tests that might run faster if they shared113    # resources, but on the other it avoids assigning blocks of slow tests to114    # just one partition.  So the slowest partition shouldn't be much slower115    # than the fastest.116    partitions = [list() for i in range(count)]117    for partition, test_id in izip(itertools.cycle(partitions), test_ids):118        partition.append(test_id)119    return partitions120def main(argv, prepare_args=prepare_argv, find_tests=find_tests):121    """CLI entry point to adapt a test run to parallel testing."""...

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