def METHOD_NAME(self) -> None:
    """Prepare environment."""
    super().METHOD_NAME()
    get_model_type_patcher = patch(
        "neural_insights.components.model.model_type_getter.nc_get_model_type",
    )
    self.addCleanup(get_model_type_patcher.stop)
    get_model_type_mock = get_model_type_patcher.start()
    get_model_type_mock.side_effect = self._get_model_type
    nc_tensorflow_model_patcher = patch(
        "neural_insights.components.model.tensorflow.model.NCModel",
    )
    self.addCleanup(nc_tensorflow_model_patcher.stop)
    nc_model_instance_mock = nc_tensorflow_model_patcher.start()
    nc_model_instance_mock.return_value.input_node_names = [
        "first input node",
        "second input node",
    ]
    nc_model_instance_mock.return_value.output_node_names = [
        "first output node",
        "second output node",
    ]