numpy testing assert array NOT equal
Not sure why this hasn't been posted, may be I didn't understand the question properly, but what about:
assert not np.array_equal(array1 , array2)
Any reason why you would like to keep it exclusively in the testing module of numpy?
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)
I don't think there is anything built directly into the NumPy testing framework but you could just use:
np.any(np.not_equal(a1,a2))
and assert true with the built in unittest framework or check with NumPy as assert_equal
to True
e.g.
np.testing.assert_equal(np.any(np.not_equal(a,a)), True)