File size: 1,394 Bytes
079c32c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 |
import pytest
import numpy as np
from dizoo.rocket.envs import RocketEnv
from easydict import EasyDict
@pytest.mark.envtest
class TestRocketEnv:
def test_hover(self):
env = RocketEnv(EasyDict({'task': 'hover', 'max_steps': 800}))
env.seed(314, dynamic_seed=False)
assert env._seed == 314
obs = env.reset()
assert obs.shape == (8, )
for _ in range(5):
env.reset()
np.random.seed(314)
print('=' * 60)
for i in range(10):
# Both ``env.random_action()``, and utilizing ``np.random`` as well as action space,
# can generate legal random action.
if i < 5:
random_action = np.array([env.action_space.sample()])
else:
random_action = env.random_action()
timestep = env.step(random_action)
print('timestep', timestep, '\n')
assert isinstance(timestep.obs, np.ndarray)
assert isinstance(timestep.done, bool)
assert timestep.obs.shape == (8, )
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()
|