"""Often it is useful to time a segment of code with a semantically relevant description instead of
relying on piecing together profiling information.  This is especially useful for code segments that
only run once or a few times (e.g., step by step hadoop workflows with several jobs)."""

import contextlib
import time
@contextlib.contextmanager
def timer(name):
    st = time.time()
    yield
    print('[%s]: %s' % (name, time.time() - st))

# Example of usage
with timer('CPU Bound Loop'):
    [x ** x for x in range(1000)]