import numpy as np import pytest from gym import spaces from gym.envs.tests.spec_list import spec_list @pytest.mark.parametrize("spec", spec_list) def test_env(spec): # Note that this precludes running this test in multiple # threads. However, we probably already can't do multithreading # due to some environments. spaces.seed(0) env1 = spec.make() env1.seed(0) action_samples1 = [env1.action_space.sample() for i in range(4)] initial_observation1 = env1.reset() step_responses1 = [env1.step(action) for action in action_samples1] env1.close() spaces.seed(0) env2 = spec.make() env2.seed(0) action_samples2 = [env2.action_space.sample() for i in range(4)] initial_observation2 = env2.reset() step_responses2 = [env2.step(action) for action in action_samples2] env2.close() for i, (action_sample1, action_sample2) in enumerate(zip(action_samples1, action_samples2)): try: assert_equals(action_sample1, action_sample2) except AssertionError: print('env1.action_space=', env1.action_space) print('env2.action_space=', env2.action_space) print('action_samples1=', action_samples1) print('action_samples2=', action_samples2) print('[{}] action_sample1: {}, action_sample2: {}'.format(i, action_sample1, action_sample2)) raise # Don't check rollout equality if it's a a nondeterministic # environment. if spec.nondeterministic: return assert_equals(initial_observation1, initial_observation2) for i, ((o1, r1, d1, i1), (o2, r2, d2, i2)) in enumerate(zip(step_responses1, step_responses2)): assert_equals(o1, o2, '[{}] '.format(i)) assert r1 == r2, '[{}] r1: {}, r2: {}'.format(i, r1, r2) assert d1 == d2, '[{}] d1: {}, d2: {}'.format(i, d1, d2) # Go returns a Pachi game board in info, which doesn't # properly check equality. For now, we hack around this by # just skipping Go. if spec.id not in ['Go9x9-v0', 'Go19x19-v0']: assert_equals(i1, i2, '[{}] '.format(i)) def assert_equals(a, b, prefix=None): assert type(a) == type(b), "{}Differing types: {} and {}".format(prefix, a, b) if isinstance(a, dict): assert list(a.keys()) == list(b.keys()), "{}Key sets differ: {} and {}".format(prefix, a, b) for k in a.keys(): v_a = a[k] v_b = b[k] assert_equals(v_a, v_b) elif isinstance(a, np.ndarray): np.testing.assert_array_equal(a, b) elif isinstance(a, tuple): for elem_from_a, elem_from_b in zip(a, b): assert_equals(elem_from_a, elem_from_b) else: assert a == b