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48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
import numpy as np
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from nose2 import tools
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import os
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from gym import envs
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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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specs = [spec for spec in envs.registry.all()]
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@tools.params(*specs)
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def test_env(spec):
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# Skip for deprecated envs
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if spec._entry_point is None:
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return
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# Skip mujoco tests for pull request CI
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skip_mujoco = os.environ.get('TRAVIS_PULL_REQUEST', 'false') != 'false'
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if skip_mujoco and spec._entry_point.startswith('gym.envs.mujoco:'):
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return
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env = spec.make()
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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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env.render(close=True)
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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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