class_docstr: Base class for testing TFRecord-based features.
code: def _sum_keywords(self, num_files):
      sum_keywords = 0
      for i in range(num_files):
          for j in range(self._num_records):
              sum_keywords += 1 + (i + j) % 2
      return sum_keywords
  
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 5 for calling the FeaturesTestBase obj's underlying member method code with example usage: obj._sum_keywords(num_files) and returns: sum_keywords