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I wonder how numpy.vectorsize works

I would like to understand the behavior of numpy.vectorsize()
This question is like that, I would like to know how numpy.vectorsize works. I would like to know the input type of the function, does it like numpy.asarray(numpy.vectorize(func)(X)) or numpy.vectorize(func)(X)?
>>> import numpy as np
>>> np.random.seed(1)
>>> X = np.random.randint(0, 10, (100, 2))
>>> X[X >> X[X.nonzero()] array([[ 5., 9.]])

>>> np.vectorize(np.mean)(X)
array([ 2. ])
>>> np.vectorsize(np.mean)(X)
TypeError: object of type ‘numpy.ndarray’ has no len()
>>> np.asarray(np.vector
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