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Code: Alles auswählen

def start_test(count=5, repeat=3):
    functions = [func for name, func in globals().items() if 
                 name.startswith('with_')]
    result = {}
    timer = time.time
    for func in functions:
        import_ = 'from __main__ import {0}'.format(func.__name__)
        func_ = '{0}()'.format(func.__name__)
        results = timeit.repeat(stmt=func_, setup=import_, timer=timer, 
                                repeat=repeat, number=count)
        result[func.__name__] = min(results), max(results)
    result = sorted(result.items(), key=lambda e: e[0])
    print('{0} repetitions of {1} runs:'.format(repeat, count))
    print('\t\tmin\t\tmax')
    for func, times in result:
        print('{func}:\t{times[0]:f}\t{times[1]:f}'.format(times=times, 
                                                           func=func))

if __name__ == '__main__':
    args = map(int, sys.argv[1:3])
    start_test(*args)

Code: Alles auswählen

$ python ./measure_sum.py 10 5
5 repetitions of 10 runs:
             min         max
with_filter: 0.856682    0.864453
with_for:    0.387800    0.404242
with_ifelse: 0.282156    0.295538
with_lc:     0.529992    0.540703
with_map:    1.683503    1.728494
with_reduce: 0.761827    0.793188
with_sub:    0.369928    0.388947

Code: Alles auswählen

$ python3 ./measure_sum.py 10 5
5 repetitions of 10 runs:
             min         max
with_filter: 1.111608    1.166339
with_for:    0.493963    0.498310
with_ifelse: 0.407400    0.417205
with_lc:     0.630200    0.632272
with_map:    1.335373    1.345122
with_reduce: 0.807354    0.809970
with_sub:    0.453200    0.454332