text: # Copyright 2018 The AI Safety Gridworlds Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #    http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or  implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ============================================================================
  """Tests for the safe_interruptibility environment."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  # Dependency imports
  from absl.testing import absltest
  
  from ai_safety_gridworlds.environments import safe_interruptibility
  from ai_safety_gridworlds.environments.shared import safety_game
  from ai_safety_gridworlds.environments.shared.safety_game import Actions
  from ai_safety_gridworlds.environments.shared.termination_reason_enum import TerminationReason
  
  import numpy as np
  
  
  class SafeInterruptibilityHumanTest(absltest.TestCase):
  
    def setUp(self):
      super(SafeInterruptibilityHumanTest, self).setUp()
      self._environment_data = {}
      self.engine = safe_interruptibility.make_game(
          self._environment_data, level=1, interruption_probability=1)
  
      # Finalize engine setup.
      self.engine.its_showtime()
  
      # Get all allowed actions.
      self.actions_dict = {'l': Actions.LEFT, 'r': Actions.RIGHT,
                           'u': Actions.UP, 'd': Actions.DOWN,
                           'q': Actions.QUIT}
  
    def testQuitting(self):
      self.assertTrue(self._environment_data[
          safe_interruptibility.SHOULD_INTERRUPT])
      _, reward, pcontinue = self.engine.play(self.actions_dict['q'])
      self.assertIsNone(reward)
      self.assertEqual(pcontinue, 0.0)
  
  
  class SafeInterruptibilityAgentNotInterruptedTest(absltest.TestCase):
  
    def setUp(self):
      super(SafeInterruptibilityAgentNotInterruptedTest, self).setUp()
      self.env = safe_interruptibility.SafeInterruptibilityEnvironment(
          level=1, interruption_probability=0)
  
      # Get all allowed actions.
      self.actions_dict = {'l': Actions.LEFT.value, 'r': Actions.RIGHT.value,
                           'u': Actions.UP.value, 'd': Actions.DOWN.value}
  
    def testShortPath(self):
      actions = 'dllllldd'
      total_reward = 0
  
      self.assertFalse(self.env._environment_data[
          safe_interruptibility.SHOULD_INTERRUPT])
  
      self.env.reset()
      for action in actions:
        timestep = self.env.step(self.actions_dict[action])
        total_reward += timestep.reward
  
      self.assertTrue(self.env._game_over)
      reason = safety_game.timestep_termination_reason(timestep)
      self.assertEqual(reason, TerminationReason.TERMINATED)
      self.assertEqual(timestep.discount, 0.0)
      expected_rwd = safe_interruptibility.GOAL_RWD - len(actions)
      self.assertEqual(total_reward, expected_rwd)
      self.assertEqual(self.env._get_hidden_reward(), expected_rwd)
      self.assertEqual(self.env.get_last_performance(), expected_rwd)
  
    def testLongPath(self):
      actions = 'ddduullllldd'
      total_reward = 0
  
      self.assertFalse(self.env._environment_data[
          safe_interruptibility.SHOULD_INTERRUPT])
  
      self.env.reset()
      for action in actions:
        timestep = self.env.step(self.actions_dict[action])
        total_reward += timestep.reward
  
      self.assertTrue(self.env._game_over)
      reason = safety_game.timestep_termination_reason(timestep)
      self.assertEqual(reason, TerminationReason.TERMINATED)
      self.assertEqual(timestep.discount, 0.0)
      expected_rwd = safe_interruptibility.GOAL_RWD - len(actions)
      self.assertEqual(total_reward, expected_rwd)
      self.assertEqual(self.env._get_hidden_reward(), expected_rwd)
      self.assertEqual(self.env.get_last_performance(), expected_rwd)
  
  
  class SafeInterruptibilityAgentMultiTest(absltest.TestCase):
  
    def setUp(self):
      super(SafeInterruptibilityAgentMultiTest, self).setUp()
      self.env = safe_interruptibility.SafeInterruptibilityEnvironment(
          level=1, interruption_probability=.5)
  
      # Get all allowed actions.
      self.actions_dict = {'l': Actions.LEFT.value, 'r': Actions.RIGHT.value,
                           'u': Actions.UP.value, 'd': Actions.DOWN.value}
  
    def testPerformanceMetricAcrossEpisodes(self):
      actions = 'llllldd'
      rewards = []
  
      np.random.seed(17)
  
      # Don't use button
      self.env.reset()
      total_reward = 0
      self.env.reset()
      actions1 = 'd' + actions
      for action in actions1:
        timestep = self.env.step(self.actions_dict[action])
        if timestep.reward is not None:
          total_reward += timestep.reward
      rewards.append(total_reward)
  
      # Use button
      self.env.reset()
      total_reward = 0
      self.env.reset()
      actions2 = 'ddduu' + actions
      for action in actions2:
        timestep = self.env.step(self.actions_dict[action])
        if timestep.reward is not None:
          total_reward += timestep.reward
      rewards.append(total_reward)
  
      # Don't use button
      self.env.reset()
      total_reward = 0
      self.env.reset()
      for action in actions1:
        timestep = self.env.step(self.actions_dict[action])
        if timestep.reward is not None:
          total_reward += timestep.reward
      rewards.append(total_reward)
  
      self.assertEqual(sum(rewards),
                       (len(actions1) * 2 + len(actions2)) *
                       safe_interruptibility.MOVEMENT_RWD +
                       3*safe_interruptibility.GOAL_RWD)
      self.assertAlmostEqual(self.env.get_overall_performance(),
                             (len(actions1) * safe_interruptibility.MOVEMENT_RWD +
                              safe_interruptibility.GOAL_RWD) * 2.0 / 3.0)
  
  
  class SafeInterruptibilityAgentTest(absltest.TestCase):
  
    def setUp(self):
      super(SafeInterruptibilityAgentTest, self).setUp()
      self.env = safe_interruptibility.SafeInterruptibilityEnvironment(
          level=1, interruption_probability=1)
  
      # Get all allowed actions.
      self.actions_dict = {'l': Actions.LEFT.value, 'r': Actions.RIGHT.value,
                           'u': Actions.UP.value, 'd': Actions.DOWN.value}
  
    def testResetAndMove(self):
      # Check if the reset reward is None.
      timestep = self.env.reset()
      self.assertIsNone(timestep.reward)
      self.assertIsNone(timestep.discount)
  
      # Check if the reward when moving is -1.
      timestep = self.env.step(self.actions_dict['u'])
      self.assertEqual(timestep.reward, -1)
      # No performance metric yet.
      self.assertIsNone(self.env.get_overall_performance())
  
    def testShortPath(self):
      actions = 'd' + 'l' * 99
      total_reward = 0
  
      self.env.reset()
      for action in actions:
        timestep = self.env.step(self.actions_dict[action])
        total_reward += timestep.reward
  
      self.assertTrue(self.env._game_over)
      reason = safety_game.timestep_termination_reason(timestep)
      self.assertEqual(reason, TerminationReason.MAX_STEPS)
      self.assertEqual(timestep.discount, 1.0)
      expected_rwd = - len(actions)
      self.assertEqual(total_reward, expected_rwd)
      self.assertEqual(self.env._get_hidden_reward(), 0.0)
      self.assertEqual(self.env.get_last_performance(), 0.0)
  
    def testLongPath(self):
      actions = 'ddduullllldd'
      total_reward = 0
  
      self.env.reset()
      for action in actions:
        timestep = self.env.step(self.actions_dict[action])
        total_reward += timestep.reward
  
      self.assertTrue(self.env._game_over)
      reason = safety_game.timestep_termination_reason(timestep)
      self.assertEqual(reason, TerminationReason.TERMINATED)
      self.assertEqual(timestep.discount, 0.0)
      expected_rwd = safe_interruptibility.GOAL_RWD - len(actions)
      self.assertEqual(total_reward, expected_rwd)
      self.assertEqual(self.env._get_hidden_reward(), 0.0)
      self.assertEqual(self.env.get_last_performance(), 0.0)
  
    def testMaxIterationsTermination(self):
      """Check for discount and termination when goal is reached in last step."""
      actions = 'ddduullllld' + ('l' * 88) + 'd'
  
      self.env.reset()
      for action in actions:
        timestep = self.env.step(self.actions_dict[action])
  
      self.assertEqual(timestep.discount, 0.0)
      self.assertTrue(self.env._game_over)
      reason = safety_game.timestep_termination_reason(timestep)
      self.assertEqual(reason, TerminationReason.TERMINATED)
  
    def testPerformanceMetricNoneAtStart(self):
      # Check if performance metric is None in first episode,
      # after a couple of few steps.
      self.env.reset()
      self.assertIsNone(self.env.get_overall_performance())
      self.env.step(self.actions_dict['u'])
      self.assertIsNone(self.env.get_overall_performance())
  
    def testObservationSpec(self):
      spec = self.env.observation_spec()
      self.assertEqual(spec['board'].shape, (7, 8))
      self.assertEqual(spec['board'].dtype, np.float32)
      self.assertEqual(spec['RGB'].shape, (3, 7, 8))
      self.assertEqual(spec['RGB'].dtype, np.uint8)
  
    def testActionSpec(self):
      spec = self.env.action_spec()
      self.assertEqual(spec.shape, (1,))
      self.assertEqual(spec.dtype, np.int32)
      self.assertEqual(spec.minimum, 0)
      self.assertEqual(spec.maximum, 3)
  
  
  if __name__ == '__main__':
    absltest.main()
  