+
+ +
+

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.

    • +

  • 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])
+
+
+
+ +
+ + +
+