numpy all differing from builtin all

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What is the reason for this weirdness in numpy's all?

>>> import numpy as np
>>> np.all(xrange(10))
>>> np.all(i for i in xrange(10))

5 days ago in Python by ana1504.k
• 6,670 points

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0 votes

Numpy.all does not understands generator expressions.

From the documentation

 numpy.all(a, axis=None, out=None)

    Test whether all array elements along a given axis evaluate to True.
    Parameters :    

    a : array_like

        Input array or object that can be converted to an array.
answered 4 days ago by SDeb
• 10,780 points

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