code: def clip(a, a_min, a_max):
      """Clips the values of an array to a given interval.
  
      Given an interval, values outside the interval are clipped to the
      interval edges. For example, if an interval of ``[0, 1]`` is specified,
      values smaller than 0 become 0, and values larger than 1 become 1.
  
      Args:
          a (~chainerx.ndarray): Array containing elements to clip.
          a_min (scalar): Maximum value.
          a_max (scalar): Minimum value.
  
      Returns:
          ~chainerx.ndarray: An array with the elements of ``a``, but where
          values < ``a_min`` are replaced with ``a_min``,
          and those > ``a_max`` with ``a_max``.
  
      Note:
          The :class:`~chainerx.ndarray` typed ``a_min`` and ``a_max`` are
          not supported yet.
  
      Note:
          During backpropagation, this function propagates the gradient
          of the output array to the input array ``a``.
  
      .. seealso:: :func:`numpy.clip`
  
      """
      if a_min is None and a_max is None:
          raise ValueError("Must set either a_min or a_max.")
  
      if a_min is not None:
          a = chainerx.maximum(a, a_min)
  
      if a_max is not None:
          a = chainerx.minimum(a, a_max)
  
      return a
  
label_desc: Use image node_id 1 for calling a global function with example usage: clip(a, a_min, a_max) and returns: a