class_docstr: Base class for all benchmarks.
code: def _max_num_examples(self):
      result = (
          FLAGS.max_num_examples
          if FLAGS.is_parsed()
          else FLAGS["max_num_examples"].default
      )
      if result == 0:
          return None
      return result
  
imports: from absl import flags
  import apache_beam
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the BenchmarkBase obj's underlying member method code with example usage: obj._max_num_examples() and returns: result, None