def test_gym_wrapper():
gym_env = gym.make("Acrobot-v1")
wrapped = Wrapper(gym_env)
assert isinstance(wrapped, Model)
assert wrapped.is_online()
assert not wrapped.is_generative()
wrapped.reseed()
# calling some gym functions
wrapped.close()
wrapped.seed()
def test_double_wrapper_copy_reseeding(ModelClass):
env = Wrapper(Wrapper(ModelClass()))
seeder = Seeder(123)
env.reseed(seeder)
c_env = deepcopy(env)
c_env.reseed()
if deepcopy(env).is_online():
traj1 = get_env_trajectory(env, 500)
traj2 = get_env_trajectory(c_env, 500)
assert not compare_trajectories(traj1, traj2)
def test_gym_copy_reseeding():
seeder = Seeder(123)
if _GYM_INSTALLED:
gym_env = gym.make("Acrobot-v1")
env = Wrapper(gym_env)
env.reseed(seeder)
c_env = deepcopy(env)
c_env.reseed()
if deepcopy(env).is_online():
traj1 = get_env_trajectory(env, 500)
traj2 = get_env_trajectory(c_env, 500)
assert not compare_trajectories(traj1, traj2)
def test_wrapper_seeding(ModelClass):
env1 = Wrapper(ModelClass())
seeder = Seeder(123)
env1.reseed(seeder)
env2 = Wrapper(ModelClass())
seeder = Seeder(456)
env2.reseed(seeder)
env3 = Wrapper(ModelClass())
seeder = Seeder(123)
env3.reseed(seeder)
if deepcopy(env1).is_online():
traj1 = get_env_trajectory(env1, 500)
traj2 = get_env_trajectory(env2, 500)
traj3 = get_env_trajectory(env3, 500)
assert not compare_trajectories(traj1, traj2)
assert compare_trajectories(traj1, traj3)