code: def predict_minibatch(self, inputs: list[lit_types.JsonDict], **kw):
      return [
          {"score": i["num"] + (1 if i["cats"] == "One" else 0)}
          for i in inputs
      ]
  
imports: from absl.testing import absltest
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.components import pdp
  from lit_nlp.lib import testing_utils
label_desc: Use image node_id 3 for calling the TestRegressionPdp obj's underlying member method code with example usage: obj.predict_minibatch(inputs) and returns: unknown