AttributeError: 'module' object has no attribute 'timeit' while doing timeit a python function

AttributeError: 'module' object has no attribute 'timeit' while doing timeit a python function

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AttributeError: 'module' object has no attribute 'timeit' while doing timeit a python function
Tag : python , By : Jenuel
Date : December 01 2020, 05:00 PM

wish helps you You named your file timeit.py, which blocks the builtin module, so import timeit is importing your own file. Name your file something else.

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Timeit module -passing arguments to python timeit module

Tag : python , By : Ganesh
Date : March 29 2020, 07:55 AM
Hope this helps Per the docs:
timeit.timeit('print d[9999]', 
              setup='from __main__ import d')

timeit.timeit variable importing in python

Tag : python , By : Bo.
Date : March 29 2020, 07:55 AM
may help you . timeit.Timer takes a callable as well as a string to eval
def func():
    var1 = 'aaa'
    var2 = 'aab'
    t1 = timeit.timeit(lambda: var1 == var2, number = 10**4)
def func():
    var1 = 'aaa'
    var2 = 'aab'
    def closure():
        return var1 == var2
    t1 = timeit.timeit(closure, number = 10**4)

Python timeit.timeit do untimed actions in between statements

Tag : python , By : user149634
Date : March 29 2020, 07:55 AM
Hope that helps You could produce number copies of the function, each with their independent lru_cache wrapper:
setup = '''\
    from {name} import recursive_function as f
    f = iter([
        for _ in range({number})])
    n = {n}
    next_ = next
'''.format(name=__name__, number=number, n=n)
test = '''\
    recursive_function = next_(f)
    recursive_funcion.__globals__['recursive_funcion'] = recursive_funcion
return timeit.timeit(test, setup, number=number)

Python: is there a way to import a variable using timeit.timeit()?

Tag : python , By : Alecsandru Soare
Date : March 29 2020, 07:55 AM

what is the unit of timeit() from python3 timeit module function

Tag : python , By : Lucyberad
Date : March 29 2020, 07:55 AM
hop of those help? As the documentation clearly says:
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