code: def safe_divide(a, b):
      result = np.divide(
          a,
          b,
          out=np.zeros_like(a, dtype=_DefaultDType),
          where=(b != 0),
      )
      if result.ndim == 0:
          return result.item()
      return result
  
imports: from collections.abc import Iterable, Sequence
  import dataclasses
  import enum
  import itertools
  from typing import Any
  import numpy
  from numpy import typing
  from tensorflow_model_analysis.experimental.lazytf import api
label_desc: Use image node_id 1 for calling a global function with example usage: safe_divide(a, b) and returns: result, result