code: def testBuffering(self):
      test_filenames = self._createFiles()
      dataset = readers.FixedLengthRecordDataset(
          test_filenames,
          self._record_bytes,
          self._header_bytes,
          self._footer_bytes,
          buffer_size=10,
      )
      expected_output = []
      for j in range(self._num_files):
          expected_output.extend(
              [self._record(j, i) for i in range(self._num_records)]
          )
      self.assertDatasetProduces(
          dataset, expected_output=expected_output
      )
  
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.ops import readers
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.platform import test
  from tensorflow.python.util import compat
label_desc: Use image node_id 5 for calling the FixedLengthRecordDatasetTest obj's underlying member method code with example usage: obj.testBuffering() without return types