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https://github.com/Farama-Foundation/Gymnasium.git
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cdd212db4b
* Fix autodetect dtype warnings * Use warnings module for gym logger * Fix warning in tests
51 lines
1.8 KiB
Python
51 lines
1.8 KiB
Python
import pytest
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import numpy as np
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from gym import envs
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from gym.envs.tests.spec_list import spec_list
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# This runs a smoketest on each official registered env. We may want
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# to try also running environments which are not officially registered
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# envs.
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@pytest.mark.parametrize("spec", spec_list)
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def test_env(spec):
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# Capture warnings
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with pytest.warns(None) as warnings:
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env = spec.make()
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# Check that dtype is explicitly declared for gym.Box spaces
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for warning_msg in warnings:
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assert not 'autodetected dtype' in str(warning_msg.message)
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ob_space = env.observation_space
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act_space = env.action_space
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ob = env.reset()
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assert ob_space.contains(ob), 'Reset observation: {!r} not in space'.format(ob)
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a = act_space.sample()
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observation, reward, done, _info = env.step(a)
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assert ob_space.contains(observation), 'Step observation: {!r} not in space'.format(observation)
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assert np.isscalar(reward), "{} is not a scalar for {}".format(reward, env)
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assert isinstance(done, bool), "Expected {} to be a boolean".format(done)
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for mode in env.metadata.get('render.modes', []):
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env.render(mode=mode)
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# Make sure we can render the environment after close.
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for mode in env.metadata.get('render.modes', []):
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env.render(mode=mode)
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env.close()
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# Run a longer rollout on some environments
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def test_random_rollout():
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for env in [envs.make('CartPole-v0'), envs.make('FrozenLake-v0')]:
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agent = lambda ob: env.action_space.sample()
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ob = env.reset()
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for _ in range(10):
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assert env.observation_space.contains(ob)
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a = agent(ob)
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assert env.action_space.contains(a)
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(ob, _reward, done, _info) = env.step(a)
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if done: break
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env.close()
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