Eryk Sun added the comment:
NumPy is not part of Python's standard library, so this is a 3rd party problem.
However, please don't waste the time of the NumPy developers with this. You
either haven't read the documentation or have misread it. numpy.all [1] is an
AND reduction over the specified dimension or all dimensions of an array.
>>> import numpy as np
>>> A = np.random.random((10, 1))
>>> np.all(A)
True
>>> True < 1
False
>>> isinstance(True, int)
True
>>> int(True)
1
The following checks whether all values are less than 1:
>>> A < 1
array([[ True],
[ True],
[ True],
[ True],
[ True],
[ True],
[ True],
[ True],
[ True],
[ True]], dtype=bool)
>>> np.all(A < 1)
True
[1]: http://docs.scipy.org/doc/numpy/reference/generated/numpy.all.html
----------
nosy: +eryksun
resolution: -> third party
stage: -> resolved
status: open -> closed
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Python tracker <rep...@bugs.python.org>
<http://bugs.python.org/issue26596>
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