code: def relative_difference(x: np.ndarray, y: np.ndarray) -> np.ndarray:
      """Compute the relative difference between x and y
  
      The two argument arrays must have the same shape.
  
      Parameters
      ----------
      x: np.ndarray
          First input array
      y: np.ndarray
          Second input array
  
      Returns
      -------
      z: np.ndarray
          We will have `z == np.abs(x-y) / np.abs(max(x, y))`.
      """
      warnings.warn(
          "Directly use `(x - y) / np.abs(y)` or `np.isclose`, `np.allclose` for testing tolerance",
          FutureWarning,
      )
      z = (x - y) / abs(y)
      return z
  
imports: import csv
  import logging
  import warnings
  from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Union
  import numpy
  import deepchem
  from deepchem.metrics import Metric
label_desc: Use image node_id 4 for calling a global function with example usage: relative_difference(x, y) and returns: z