code: def default_positive_bijector() -> str:
      """Type of bijector used for positive constraints: exp or softplus."""
      return config().positive_bijector
  
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 14 for calling a global function with example usage: default_positive_bijector() and returns: config