code: def predict_minibatch(self, inputs: list[lit_types.JsonDict], **kw):
      def pred(i):
          val = (i["num"] / 100) + (0.5 if i["cats"] == "One" else 0)
          return {"probas": [1 - val, val]}
  
      return [pred(i) 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 TestClassificationPdp obj's underlying member method code with example usage: obj.predict_minibatch(inputs) and returns: unknown, dict