text: # coding=utf-8
  # Copyright 2018 The TF-Agents Authors.
  #
  # 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 tf_agents.environments.py_environment."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import numpy as np
  import tensorflow as tf
  
  # from tf_agents.environments import py_environment
  from tf_agents.environments import random_py_environment
  from tf_agents.specs import array_spec
  
  
  class PyEnvironmentTest(tf.test.TestCase):
  
    def testResetSavesCurrentTimeStep(self):
      obs_spec = array_spec.BoundedArraySpec((1,), np.int32)
      action_spec = array_spec.BoundedArraySpec((1,), np.int32)
  
      random_env = random_py_environment.RandomPyEnvironment(
          observation_spec=obs_spec, action_spec=action_spec)
  
      time_step = random_env.reset()
      current_time_step = random_env.current_time_step()
      tf.nest.map_structure(self.assertAllEqual, time_step, current_time_step)
  
    def testStepSavesCurrentTimeStep(self):
      obs_spec = array_spec.BoundedArraySpec((1,), np.int32)
      action_spec = array_spec.BoundedArraySpec((1,), np.int32)
  
      random_env = random_py_environment.RandomPyEnvironment(
          observation_spec=obs_spec, action_spec=action_spec)
  
      random_env.reset()
      time_step = random_env.step(action=np.ones((1,)))
      current_time_step = random_env.current_time_step()
      tf.nest.map_structure(self.assertAllEqual, time_step, current_time_step)
  
  
  if __name__ == '__main__':
    tf.test.main()
  