code: def nextafter(x1, x2, out=None, where=None, **kwargs):
      """
      Return the next floating-point value after x1 towards x2, element-wise.
  
      Parameters
      ----------
      x1 : array_like
          Values to find the next representable value of.
      x2 : array_like
          The direction where to look for the next representable value of `x1`.
      out : Tensor, None, or tuple of Tensor and None, optional
          A location into which the result is stored. If provided, it must have
          a shape that the inputs broadcast to. If not provided or `None`,
          a freshly-allocated tensor is returned. A tuple (possible only as a
          keyword argument) must have length equal to the number of outputs.
      where : array_like, optional
          Values of True indicate to calculate the ufunc at that position, values
          of False indicate to leave the value in the output alone.
      **kwargs
  
      Returns
      -------
      out : array_like
          The next representable values of `x1` in the direction of `x2`.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> eps = mt.finfo(mt.float64).eps
      >>> (mt.nextafter(1, 2) == eps + 1).execute()
      True
      >>> (mt.nextafter([1, 2], [2, 1]) == [eps + 1, 2 - eps]).execute()
      array([ True,  True])
      """
      op = TensorNextafter(**kwargs)
      return op(x1, x2, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/nextafter.py
imports: import numpy
  from ...None import opcodes
  from ..utils import infer_dtype
  from .core import TensorBinOp
  from .utils import arithmetic_operand
label_desc: Use image node_id 1 for calling a global function with example usage: nextafter(x1, x2, out, where) and returns: op