code: def test_model(self):
      # Create model.
      model_path = "https://storage.googleapis.com/what-if-tool-resources/lit-models/penguin.h5"  # pylint: disable=line-too-long
      model = penguin_model.PenguinModel(model_path)
  
      # Run prediction to ensure no failure.
      model_in = [
          {
              "body_mass_g": 4000,
              "culmen_depth_mm": 15,
              "culmen_length_mm": 50,
              "flipper_length_mm": 200,
              "island": "Biscoe",
              "sex": "Male",
          }
      ]
      model_out = list(model.predict(model_in))
  
      # Sanity-check output vs output spec.
      self.assertLen(model_out, 1)
      for key in model.output_spec().keys():
          self.assertIn(key, model_out[0].keys())
  
imports: from absl.testing import absltest
  from lit_nlp.examples.models import penguin_model
label_desc: Use image node_id 1 for calling the PenguinModelIntTest obj's underlying member method code with example usage: obj.test_model() without return types