2020-11-05 22:44:37 +01:00
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import pytest
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2022-09-16 23:41:27 +01:00
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import gymnasium as gym
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2022-09-08 10:10:07 +01:00
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from gymnasium import spaces
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from gymnasium.wrappers import TimeAwareObservation
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2020-11-05 22:44:37 +01:00
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2021-09-25 20:00:28 +02:00
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@pytest.mark.parametrize("env_id", ["CartPole-v1", "Pendulum-v1"])
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2020-11-05 22:44:37 +01:00
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def test_time_aware_observation(env_id):
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2022-09-16 23:41:27 +01:00
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env = gym.make(env_id, disable_env_checker=True)
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2020-11-05 22:44:37 +01:00
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wrapped_env = TimeAwareObservation(env)
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2022-07-04 18:19:25 +01:00
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assert isinstance(env.observation_space, spaces.Box)
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assert isinstance(wrapped_env.observation_space, spaces.Box)
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2020-11-05 22:44:37 +01:00
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assert wrapped_env.observation_space.shape[0] == env.observation_space.shape[0] + 1
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2022-08-23 11:09:54 -04:00
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obs, info = env.reset()
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wrapped_obs, wrapped_obs_info = wrapped_env.reset()
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2020-11-05 22:44:37 +01:00
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assert wrapped_env.t == 0.0
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assert wrapped_obs[-1] == 0.0
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assert wrapped_obs.shape[0] == obs.shape[0] + 1
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2022-08-30 19:41:59 +05:30
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wrapped_obs, _, _, _, _ = wrapped_env.step(env.action_space.sample())
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2020-11-05 22:44:37 +01:00
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assert wrapped_env.t == 1.0
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assert wrapped_obs[-1] == 1.0
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assert wrapped_obs.shape[0] == obs.shape[0] + 1
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2022-08-30 19:41:59 +05:30
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wrapped_obs, _, _, _, _ = wrapped_env.step(env.action_space.sample())
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2020-11-05 22:44:37 +01:00
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assert wrapped_env.t == 2.0
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assert wrapped_obs[-1] == 2.0
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assert wrapped_obs.shape[0] == obs.shape[0] + 1
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2022-08-23 11:09:54 -04:00
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wrapped_obs, wrapped_obs_info = wrapped_env.reset()
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2020-11-05 22:44:37 +01:00
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assert wrapped_env.t == 0.0
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assert wrapped_obs[-1] == 0.0
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assert wrapped_obs.shape[0] == obs.shape[0] + 1
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