code: def is_same_dtype_type(a, b):
      if a == b:
          return True
      # NumPy strings can have different DTypes and yet be of the same DType type.
      return is_string(a) and is_string(b)
  
file_path: datasets/tensorflow_datasets/core/utils/dtype_utils.py
imports: from typing import cast, Any, List, Type, Union
  from absl import logging
  from etils import enp
  import numpy
  from tensorflow_datasets.core.utils import py_utils
  from tensorflow_datasets.core.utils import type_utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
label_desc: Use image node_id 8 for calling a global function with example usage: is_same_dtype_type(a, b) and returns: unknown, True