numpy.testing.assert_array_max_ulp¶
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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)))