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55 lines
2.0 KiB
Python
55 lines
2.0 KiB
Python
"""Test suite for RescaleObservation wrapper."""
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import numpy as np
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from gymnasium.spaces import Box
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from gymnasium.wrappers import RescaleObservation
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from tests.testing_env import GenericTestEnv
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from tests.wrappers.utils import check_obs, record_action_as_obs_step, record_obs_reset
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def test_rescale_observation():
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"""Test the ``RescaleObservation`` wrapper."""
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env = GenericTestEnv(
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observation_space=Box(
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np.array([0, 1, -np.inf, 5, -np.inf], dtype=np.float32),
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np.array([1, 3, np.inf, np.inf, 7], dtype=np.float32),
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),
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reset_func=record_obs_reset,
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step_func=record_action_as_obs_step,
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)
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wrapped_env = RescaleObservation(
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env,
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min_obs=np.array([-5, 0, -np.inf, -1, -np.inf], dtype=np.float32),
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max_obs=np.array([5, 1.0, np.inf, np.inf, 4], dtype=np.float32),
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)
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assert wrapped_env.observation_space == Box(
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np.array([-5, 0, -np.inf, -1, -np.inf], dtype=np.float32),
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np.array([5, 1, np.inf, np.inf, 4], dtype=np.float32),
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)
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for sample_obs, expected_obs in (
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(
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np.array([0.5, 2.0, 7.0, 5.0, -20.0], dtype=np.float32),
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np.array([0.0, 0.5, 7.0, -1.0, -23.0], dtype=np.float32),
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),
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(
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np.array([0.0, 1.0, -4.0, 6.0, 0.0], dtype=np.float32),
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np.array([-5.0, 0.0, -4.0, 0.0, -3.0], dtype=np.float32),
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),
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(
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np.array([1.0, 3.0, 0.0, 7.0, 7.0], dtype=np.float32),
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np.array([5.0, 1.0, 0.0, 1.0, 4.0], dtype=np.float32),
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),
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):
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assert sample_obs in env.observation_space
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assert expected_obs in wrapped_env.observation_space
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obs, info = wrapped_env.reset(options={"obs": sample_obs})
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assert np.all(obs == expected_obs)
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check_obs(env, wrapped_env, obs, info["obs"], strict=False)
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obs, _, _, _, info = wrapped_env.step(sample_obs)
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assert np.all(obs == expected_obs)
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check_obs(env, wrapped_env, obs, info["obs"], strict=False)
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