code: def test_native_to_default_dtype(
      setter: Callable[[type], None],
      getter: Callable[[], type],
      converter: Callable[[TensorData], tf.Tensor],
      dtype: type,
      value: TensorData,
  ) -> None:
      with gpflow.config.as_context():
          setter(dtype)
          assert converter(value).dtype == dtype
          assert converter(value).dtype == getter()
  
imports: import os
  from typing import Any, Callable, Iterable
  from unittest import mock
  import numpy
  import pytest
  import tensorflow
  import gpflow
  from gpflow.base import TensorData
  from gpflow.config import config, default_float, default_int, default_jitter, default_likelihood_positive_minimum, default_positive_bijector, default_positive_minimum, default_summary_fmt, set_config, set_default_float, set_default_int, set_default_jitter, set_default_likelihood_positive_minimum, set_default_positive_bijector, set_default_positive_minimum, set_default_summary_fmt
  from gpflow.utilities import to_default_float, to_default_int
label_desc: Use image node_id 12 for calling a global function with example usage: test_native_to_default_dtype(setter, getter, converter, dtype, value) without return types