class_docstr: Unit tests for policy gradient.
class_docstr_tok: ["Unit","tests","for","policy","gradient","."]
code: def test_rollout_preprocess(self, mock_parameters):
      self._setup_parameters(mock_parameters.return_value)
      mock_parameters.return_value.preprocessing = (
          "cntk.contrib.deeprl.agent.shared.preprocessing.SlidingWindow"
      )
      mock_parameters.return_value.preprocessing_args = '(2, "float32")'
  
      action_space = spaces.Discrete(2)
      observation_space = spaces.Box(0, 1, (1,))
      sut = ActorCritic("", observation_space, action_space)
  
      sut._choose_action = Mock(side_effect=[(0, ""), (1, ""), (1, "")])
  
      sut.start(np.array([0.1], np.float32))
      sut.step(0.1, np.array([0.2], np.float32))
      sut.step(0.2, np.array([0.3], np.float32))
  
      self.assertEqual(sut._trajectory_rewards, [0.1, 0.2])
      self.assertEqual(sut._trajectory_actions, [0, 1, 1])
      np.testing.assert_array_equal(
          sut._trajectory_states,
          [
              np.array([[0], [0.1]], np.float32),
              np.array([[0.1], [0.2]], np.float32),
              np.array([[0.2], [0.3]], np.float32),
          ],
      )
  
      sut.end(0.3, np.array([0.4], np.float32))
  
      self.assertEqual(sut._trajectory_rewards, [0.1, 0.2, 0.3])
      self.assertEqual(sut._trajectory_actions, [0, 1, 1])
      np.testing.assert_array_equal(
          sut._trajectory_states,
          [
              np.array([[0], [0.1]], np.float32),
              np.array([[0.1], [0.2]], np.float32),
              np.array([[0.2], [0.3]], np.float32),
          ],
      )
  
imports: import unittest
  import cntk.contrib.deeprl.tests.spaces
  import numpy
  from cntk.contrib.deeprl.agent.policy_gradient import ActorCritic
  from cntk.layers import Dense
  from cntk.losses import cross_entropy_with_softmax
  from cntk.ops import input_variable, placeholder
label_desc: Use image node_id 8 for calling the PolicyGradientTest obj's underlying member method code with example usage: obj.test_rollout_preprocess(mock_parameters) without return types