numpy.testing.assert_array_max_ulp

numpy.testing.assert_array_max_ulp(a, b, maxulp=1, dtype=None) [source]

Check that all items of arrays differ in at most N Units in the Last Place.

Parameters:	a, b : array_like Input arrays to be compared. maxulp : int, optional The maximum number of units in the last place that elements of a and b can differ. Default is 1. dtype : dtype, optional Data-type to convert a and b to if given. Default is None.
Returns:	ret : ndarray Array containing number of representable floating point numbers between items in a and b.
Raises:	AssertionError If one or more elements differ by more than maxulp.

See also

assert_array_almost_equal_nulp

Compare two arrays relatively to their spacing.

Examples

>>> a = np.linspace(0., 1., 100)
>>> res = np.testing.assert_array_max_ulp(a, np.arcsin(np.sin(a)))