code: def testConcat(self):
      dataset1 = readers.TFRecordDataset(self._createTFRecordFiles())
      dataset2 = readers.TextLineDataset(self._createTextFiles())
  
      dataset = dataset1.concatenate(dataset2)
      dataset = input_ops.auto_shard_dataset(
          dataset, self._num_shards, self._shard_index
      )
  
      next_element_fn = self._getNext(dataset)
      for f in range(
          self._shard_index, self._num_files, self._num_shards
      ):
          for r in range(self._num_records):
              self.assertAllEqual(
                  self._record(r, f), self.evaluate(next_element_fn())
              )
      for f in range(
          self._shard_index, self._num_files, self._num_shards
      ):
          for r in range(self._num_records):
              self.assertAllEqual(
                  self._text_line(r, f),
                  self.evaluate(next_element_fn()),
              )
      with self.assertRaises(errors.OutOfRangeError):
          self.evaluate(next_element_fn())
  
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 16 for calling the AutoShardDatasetTest obj's underlying member method code with example usage: obj.testConcat() without return types