We have numpy.testing.assert_array_equal
to assert that two arrays are equal.
But what is the best way to do numpy.testing.assert_array_not_equal
, that is, to make sure that two arrays are NOT equal?
If you want to use specifically NumPy testing, then you can use numpy.testing.assert_array_equal
together with numpy.testing.assert_raises for the opposite result. For example:
assert_raises(AssertionError, assert_array_equal, array_1, array_2)
Also there is numpy.testing.utils.assert_array_compare
(it is used by numpy.testing.assert_array_equal
), but I don't see it documented anywhere, so use with caution. This one will check that every element is different, so I guess this is not your use case:
import operator
assert_array_compare(operator.__ne__, array_1, array_2)