numpy.testing.assert_array_max_ulp — NumPy v1.11 Manual (original) (raw)
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. |
Examples
a = np.linspace(0., 1., 100) res = np.testing.assert_array_max_ulp(a, np.arcsin(np.sin(a)))