Python timeit - TypeError：“模块”对象不可调用

Question

I usually use timeit in jupyter notebook like this:

def some_function():
    for x in range(1000):
    return x

timeit(some_func())

and get the result like this:

6.3 ms ± 42.5 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)

but today I got an error like this:

TypeError                                 Traceback (most recent call last)
<ipython-input-11-fef6a46355f1> in <module>
----> 1 timeit(some_func())

TypeError: 'module' object is not callable

How does it occur?

Answer 1

You are currently trying to execute the timeit module, rather than the function contained within.

You should change your import statement from import timeit to from timeit import timeit . Alternatively, you can call the function using timeit.timeit .

Answer 2

After searching and trying for a while I realize that when we want to use timeit(some_function()) , we do not need import timeit but we should write it in another input of jupyter notebook like this:

IN [1]:

def some_function():
    for x in range(1000):
    return x

IN [2]:

timeit(some_func())

and we will get output like this:

280 ns ± 2.78 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)

When we write it in one input like this:

IN [1]:

def some_function():
    for x in range(1000):
    return x

timeit(some_func())

we'll get an error timeit not define and when we 'import timeit' we'll got another error like I produce on the question TypeError: 'module' object is not callable .

because when we import timeit we need to specify the stmt and setup (if available) eg:

import timeit

SETUP = """
    import yourmodul_here
"""

TEST_CODE = """
    def some_function():
    for x in range(1000):
    return x
"""

timeit.timeit(stmt=TEST_CODE, setup=SETUP, number=2000000)

And we'll get the output like this:

0.12415042300017376

• stmt is code to run
• setup is something that need to load before TEST_CODE run
• The stmt will execute as per the number is given here. default = 1000000

so when we import timeit we need to write more I guess.