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?
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.
ValueError: stmt is neither a string nor callable
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) e.g:
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
TEST_CODE runso when we import timeit we need to write more I guess.
import timeit, then trying to execute the module. Instead, you should import the function. Changing your import statement tofrom timeit import timeitshould fix this.