code: def set_default_positive_bijector(value: str) -> None:
      """
      Sets positive bijector type.
      There are currently two options implemented: "exp" and "softplus".
      """
      type_map = positive_bijector_type_map()
      if isinstance(value, str):
          value = value.lower()
      if value not in type_map:
          raise ValueError(
              f"`{value}` not in set of valid bijectors: {sorted(type_map)}"
          )
  
      set_config(replace(config(), positive_bijector=value))
  
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 22 for calling a global function with example usage: set_default_positive_bijector(value) without return types