code: def _default_positive_bijector_factory() -> str:
      bijector_type: str = _default(_Values.POSITIVE_BIJECTOR)
      if bijector_type not in positive_bijector_type_map().keys():
          raise TypeError(
              "Config cannot set the passed value as a default positive bijector."
              f"Available options: {set(positive_bijector_type_map().keys())}"
          )
      return bijector_type
  
imports: import contextlib
  import os
  from dataclasses import dataclass, field, replace
  from typing import Any, Dict, Generator, List, Mapping, Optional, Union
  import numpy
  import tabulate
  import tensorflow
  import tensorflow_probability
label_desc: Use image node_id 6 for calling a global function with example usage: _default_positive_bijector_factory() and returns: bijector_type