docstr: Tests predict() for a model with a batch size of 3.
docstr_tok: ["Tests","predict","(",")","for","a","model","with","a","batch","size","of","3","."]
code: def test_batched_predict(
      self,
      inputs: list[model.JsonDict],
      expected_outputs: list[model.JsonDict],
      expected_run_count: int,
  ):
      """Tests predict() for a model with a batch size of 3."""
      # Note that TestModelBatched
      test_model = _BatchingTestModel()
      result = list(test_model.predict(inputs))
      self.assertListEqual(result, expected_outputs)
      self.assertEqual(len(result), len(inputs))
      self.assertEqual(test_model.count, expected_run_count)
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
label_desc: Use image node_id 2 for calling the ModelTest obj's underlying member method code with example usage: obj.test_batched_predict(inputs, expected_outputs, expected_run_count) without return types