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:

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`.

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.

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

Links:

doc_NumPy

2017-01-10 18:18:55

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