np.bool_ causes lots of confusion because it does not compare with builtin bool intuitively.

As mentioned in #5942, #7913 (maybe more as well), changing the __repr__ from
[True, False]
to
[np.bool_(True), np.bool_(False)]
would prevent much of the confusion.

Reproducing code example:

>>> import numpy as np
>>> t, f = np.bool_(True), np.bool_(False)
>>> t, f
(True, False)
>>> True, False
(True, False)
>>> t is True, f is False
(False, False)

They are identical. This can be very confusing if you don't know the type of t and f ahead of time.

Numpy/Python version information:

This was tested with Python 3.7 and Numpy version '1.16.1'.