code: def test_train_and_eval(self, listwise_inference):
      self._model_dir = (
          self._base_model_dir + "/" + str(listwise_inference)
      )
      with flagsaver.flagsaver(
          train_input_pattern=self._data_file,
          eval_input_pattern=self._data_file,
          model_dir=self._model_dir,
          num_features=3,
          num_train_steps=10,
          listwise_inference=listwise_inference,
      ):
          tf_ranking_canned_dnn.train_and_eval()
  
file_path: ranking/tensorflow_ranking/examples/tf_ranking_canned_dnn_test.py
imports: import os
  from absl import flags
  from absl.testing import flagsaver
  from absl.testing import parameterized
  import tensorflow
  from google.protobuf import text_format
  from tensorflow_ranking.examples import tf_ranking_canned_dnn
  from tensorflow_serving.apis import input_pb2
label_desc: Use image node_id 3 for calling the TFRankingCannedDNNTest obj's underlying member method code with example usage: obj.test_train_and_eval(listwise_inference) without return types