code: def test_retrieve_model_and_fn(self, model_type):
      config = dv_config.get_config("exome")
  
      with config.unlocked():
          config.model_type = model_type
  
      # This test should not throw any errors when retrieving the model
      # and it's corresponding preprocess function.
      keras_modeling.get_model(config)
      keras_modeling.get_model_preprocess_fn(config)
  
imports: from typing import Tuple
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from deepvariant import dv_config
  from deepvariant import dv_constants
  from deepvariant import keras_modeling
  from third_party.nucleus.testing import test_utils
label_desc: Use image node_id 1 for calling the GetModelTest obj's underlying member method code with example usage: obj.test_retrieve_model_and_fn(model_type) without return types