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import pytest
import numpy as np
from easydict import EasyDict
from carracing_env import CarRacingEnv
@pytest.mark.envtest
@pytest.mark.parametrize('cfg', [EasyDict({'env_id': 'CarRacing-v2', 'continuous': False, 'act_scale': False})])
class TestCarRacing:
def test_naive(self, cfg):
env = CarRacingEnv(cfg)
env.seed(314)
assert env._seed == 314
obs = env.reset()
assert obs.shape == (3, 96, 96)
for i in range(10):
random_action = env.random_action()
timestep = env.step(random_action)
print(timestep)
assert isinstance(timestep.obs, np.ndarray)
assert isinstance(timestep.done, bool)
assert timestep.obs.shape == (3, 96, 96)
assert timestep.reward.shape == (1, )
assert timestep.reward >= env.reward_space.low
assert timestep.reward <= env.reward_space.high
print(env.observation_space, env.action_space, env.reward_space)
env.close()
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