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Gymnasium/tests/wrappers/test_record_episode_statistics.py

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import pytest
import numpy as np
import gym
from gym.wrappers import RecordEpisodeStatistics
@pytest.mark.parametrize("env_id", ["CartPole-v0", "Pendulum-v1"])
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@pytest.mark.parametrize("deque_size", [2, 5])
def test_record_episode_statistics(env_id, deque_size):
env = gym.make(env_id)
env = RecordEpisodeStatistics(env, deque_size)
for n in range(5):
env.reset()
assert env.episode_returns[0] == 0.0
assert env.episode_lengths[0] == 0
for t in range(env.spec.max_episode_steps):
_, _, done, info = env.step(env.action_space.sample())
if done:
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assert "episode" in info
assert all([item in info["episode"] for item in ["r", "l", "t"]])
break
assert len(env.return_queue) == deque_size
assert len(env.length_queue) == deque_size
def test_record_episode_statistics_reset_info():
env = gym.make("CartPole-v1")
env = RecordEpisodeStatistics(env)
ob_space = env.observation_space
obs = env.reset()
assert ob_space.contains(obs)
del obs
obs, info = env.reset(return_info=True)
assert ob_space.contains(obs)
assert isinstance(info, dict)
@pytest.mark.parametrize(
("num_envs", "asynchronous"), [(1, False), (1, True), (4, False), (4, True)]
)
def test_record_episode_statistics_with_vectorenv(num_envs, asynchronous):
envs = gym.vector.make("CartPole-v0", num_envs=num_envs, asynchronous=asynchronous)
envs = RecordEpisodeStatistics(envs)
max_episode_step = (
envs.env_fns[0]().spec.max_episode_steps
if asynchronous
else envs.env.envs[0].spec.max_episode_steps
)
envs.reset()
for _ in range(max_episode_step + 1):
_, _, dones, infos = envs.step(envs.action_space.sample())
for idx, info in enumerate(infos):
if dones[idx]:
assert "episode" in info
assert all([item in info["episode"] for item in ["r", "l", "t"]])
break