code: def test_round_robin(self):
      selector = selectors.construct_representation_selector(
          ["a", "b", "c"], "roundrobin", sample_freq=2, update_freq=1
      )
      selector.update(1, [0.5, 0.8, 0.2])
      expected = [1, 1, 2, 2, 0, 0, 1]
      actual = [selector.select(i) for i in range(1, 8)]
      self.assertEqual(expected, actual)
  
file_path: neural-structured-learning/research/multi_representation_adversary/multi_representation_adversary/selectors_test.py
imports: import gin
  from multi_representation_adversary import selectors
  import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling the SelectorsTest obj's underlying member method code with example usage: obj.test_round_robin() without return types