code: def expected_results(cls):
      return {"accuracy": 0.5, "set_equality": True}
  
imports: import os
  import pickle
  import tempfile
  import time
  from multiprocessing import Pool
  from unittest import TestCase
  import pytest
  from datasets.features import Features, Sequence, Value
  from datasets.metric import Metric, MetricInfo
  from .utils import require_tf, require_torch
label_desc: Use image node_id 4 for calling the DummyMetric obj's underlying member method code with example usage: obj.expected_results(cls) and returns: dict