code: def test_classification_cat(self):
      config = {"feature": "cats"}
      result = self.pdp.run(
          self.dataset.examples[:1],
          self.class_model,
          self.dataset,
          config=config,
      )
      expected = {"One": [0.49, 0.51], "None": [0.99, 0.01]}
      testing_utils.assert_deep_almost_equal(
          self, result["probas"], expected
      )
  
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 6 for calling the PdpTest obj's underlying member method code with example usage: obj.test_classification_cat() without return types