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ed8b13e11a
* Create transform_observation.py * Create test_transform_observation.py * Update __init__.py
28 lines
820 B
Python
28 lines
820 B
Python
import pytest
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import numpy as np
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import gym
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from gym.wrappers import TransformObservation
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@pytest.mark.parametrize('env_id', ['CartPole-v1', 'Pendulum-v0'])
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def test_transform_observation(env_id):
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affine_transform = lambda x: 3*x + 2
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env = gym.make(env_id)
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wrapped_env = TransformObservation(gym.make(env_id), lambda obs: affine_transform(obs))
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env.seed(0)
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wrapped_env.seed(0)
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obs = env.reset()
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wrapped_obs = wrapped_env.reset()
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assert np.allclose(wrapped_obs, affine_transform(obs))
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action = env.action_space.sample()
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obs, reward, done, _ = env.step(action)
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wrapped_obs, wrapped_reward, wrapped_done, _ = wrapped_env.step(action)
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assert np.allclose(wrapped_obs, affine_transform(obs))
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assert np.allclose(wrapped_reward, reward)
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assert wrapped_done == done
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