numpy.testing.assert_array_almost_equal_nulp(x, y, nulp=1)
[source]
Compare two arrays relatively to their spacing.
This is a relatively robust method to compare two arrays whose amplitude is variable.
Parameters: 


Returns: 

Raises: 

See also
assert_array_max_ulp
spacing
An assertion is raised if the following condition is not met:
abs(x  y) <= nulps * spacing(maximum(abs(x), abs(y)))
>>> x = np.array([1., 1e10, 1e20]) >>> eps = np.finfo(x.dtype).eps >>> np.testing.assert_array_almost_equal_nulp(x, x*eps/2 + x)
>>> np.testing.assert_array_almost_equal_nulp(x, x*eps + x) Traceback (most recent call last): ... AssertionError: X and Y are not equal to 1 ULP (max is 2)
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.testing.assert_array_almost_equal_nulp.html