code: def _dataset_factory(
      self,
      filenames,
      compression_type="",
      num_epochs=1,
      batch_size=None,
  ):
      repeat_dataset = readers.TFRecordDataset(
          filenames, compression_type
      ).repeat(num_epochs)
      if batch_size:
          return repeat_dataset.batch(batch_size)
      return repeat_dataset
  
imports: import gzip
  import os
  import pathlib
  import zlib
  from absl.testing import parameterized
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.kernel_tests import tf_record_test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.data.ops import readers
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the TFRecordDatasetTest obj's underlying member method code with example usage: obj._dataset_factory(filenames, compression_type, num_epochs, batch_size) and returns: repeat_dataset, repeat_dataset