class_docstr: Base class for testing TFRecord-based features.
code: def _createFiles(self):
      filenames = []
      for i in range(self._num_files):
          fn = os.path.join(self.get_temp_dir(), "tf_record.%d.txt" % i)
          filenames.append(fn)
          writer = python_io.TFRecordWriter(fn)
          for j in range(self._num_records):
              writer.write(self._record(i, j, "fake-label"))
          writer.close()
      return filenames
  
imports: import os
  from tensorflow.core.example import example_pb2
  from tensorflow.core.example import feature_pb2
  from tensorflow.python.data.experimental.ops import readers
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import readers
  from tensorflow.python.framework import dtypes
  from tensorflow.python.lib.io import python_io
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.util import compat
label_desc: Use image node_id 6 for calling the FeaturesTestBase obj's underlying member method code with example usage: obj._createFiles() and returns: filenames