class_docstr: A model for testing batched predictions with a minibatch size of 3.
code: def predict_minibatch(self, inputs: list[model.JsonDict], **kw):
      assert len(inputs) <= self.max_minibatch_size()
      self._count += 1
      return map(lambda x: {"scores": x["value"]}, inputs)
  
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 6 for calling the _BatchingTestModel obj's underlying member method code with example usage: obj.predict_minibatch(inputs) and returns: map