code: def test_positive_bijector(
      env_bijector: str,
      override_bijector: Optional[str],
      expected_class: Type[tfp.bijectors.Bijector],
  ) -> None:
      with as_context(
          Config(positive_bijector=env_bijector, positive_minimum=0.0)
      ):
          bijector = positive(base=override_bijector)
          assert isinstance(bijector, expected_class)
  
file_path: GPflow/tests/gpflow/utilities/test_bijectors.py
imports: from typing import Optional, Type
  import numpy
  import pytest
  import tensorflow
  import tensorflow_probability
  from gpflow.config import Config, as_context
  from gpflow.utilities import positive, triangular, triangular_size
label_desc: Use image node_id 2 for calling a global function with example usage: test_positive_bijector(env_bijector, override_bijector, expected_class) without return types