code: def test_compute_advantage(self):
      if not self.has_maximizer:
          return
      sample_actions = np.random.randn(
          self.batch_size, self.action_size
      ).astype(np.float32)
      ret = self.av.compute_advantage(sample_actions)
      self.assertIsInstance(ret, chainer.Variable)
      np.testing.assert_equal(
          ret.array,
          (
              self.evaluator(sample_actions).array
              - self.evaluator(self.maximizer()).array
          ),
      )
  
imports: import unittest
  import chainer
  import chainer.functions
  from chainer import testing
  import numpy
  from chainerrl import action_value
label_desc: Use image node_id 5 for calling the TestSingleActionValue obj's underlying member method code with example usage: obj.test_compute_advantage() without return types