dpnp.nextafter
- dpnp.nextafter(x1, x2, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)
Return the next floating-point value after x1 towards x2, element-wise.
For full documentation refer to
numpy.nextafter
.- Parameters:
x1 ({dpnp.ndarray, usm_ndarray, scalar}) -- Values to find the next representable value of. Both inputs x1 and x2 can not be scalars at the same time.
x2 ({dpnp.ndarray, usm_ndarray, scalar}) -- The direction where to look for the next representable value of x1. Both inputs x1 and x2 can not be scalars at the same time. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which becomes the shape of the output).out ({None, dpnp.ndarray, usm_ndarray}, optional) -- Output array to populate. Array must have the correct shape and the expected data type. Default:
None
.order ({"C", "F", "A", "K"}, optional) -- Memory layout of the newly output array, if parameter out is
None
. Default:"K"
.
- Returns:
out -- The next representable values of x1 in the direction of x2. The data type of the returned array is determined by the Type Promotion Rules.
- Return type:
dpnp.ndarray
Limitations
Parameters where and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise
NotImplementedError
exception will be raised.Examples
>>> import dpnp as np >>> a = np.array(1, dtype=np.float32) >>> eps = np.finfo(a.dtype).eps >>> np.nextafter(a, 2) == eps + 1 array(True)
>>> a = np.array([1, 2], dtype=np.float32) >>> b = np.array([2, 1], dtype=np.float32) >>> c = np.array([eps + 1, 2 - eps]) >>> np.nextafter(a, b) == c array([ True, True])