code: def test_caching_model_wrapper_uses_cached_subset(self):
      model = testing_utils.IdentityRegressionModelForTesting()
      wrapper = caching.CachingModelWrapper(model, "test")
  
      examples = [
          {"val": 0, "_id": "zeroth_id"},
          {"val": 1, "_id": "first_id"},
          {"val": 2, "_id": "second_id"},
      ]
      subset = examples[:1]
  
      # Run the CachingModelWrapper over a subset of examples
      results = wrapper.predict(subset)
      self.assertEqual(1, model.count)
      self.assertEqual({"score": 0}, results[0])
  
      # Now, run the CachingModelWrapper over all of the examples. This should
      # only pass the examples that were not in subset to the wrapped model, and
      # the total number of inputs processed by the wrapped model should be 3
      results = wrapper.predict(examples)
      self.assertEqual(3, model.count)
      self.assertEqual({"score": 0}, results[0])
      self.assertEqual({"score": 1}, results[1])
      self.assertEqual({"score": 2}, results[2])
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.lib import caching
  from lit_nlp.lib import testing_utils
label_desc: Use image node_id 3 for calling the CachingModelWrapperTest obj's underlying member method code with example usage: obj.test_caching_model_wrapper_uses_cached_subset() without return types