code: def testListfiles(self):
      filenames = self._createTFRecordFiles()
      file_pattern = (
          filenames[0].rsplit(os.sep, 1)[0] + "/tf_record.*.txt"
      )
      dataset = dataset_ops.Dataset.list_files(
          file_pattern, shuffle=False
      )
      dataset = dataset.flat_map(readers.TFRecordDataset)
      dataset = input_ops.auto_shard_dataset(
          dataset, self._num_shards, self._shard_index
      )
  
      next_element_fn = self._getNext(dataset)
      actual, expected = [], []
      for f in range(
          self._shard_index, self._num_files, self._num_shards
      ):
          for r in range(self._num_records):
              actual.append(self.evaluate(next_element_fn()))
              expected.append(self._record(r, f))
      with self.assertRaises(errors.OutOfRangeError):
          self.evaluate(next_element_fn())
      self.assertAllEqual(expected, actual)
  
imports: import os
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.data.util import structure
  from tensorflow.python.distribute import input_ops
  from tensorflow.python.eager import context
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.lib.io import python_io
  from tensorflow.python.ops import gen_dataset_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import compat
label_desc: Use image node_id 13 for calling the AutoShardDatasetTest obj's underlying member method code with example usage: obj.testListfiles() without return types