mirror of
https://github.com/Farama-Foundation/Gymnasium.git
synced 2025-08-22 07:02:19 +00:00
15049e22d7
* initial draft of optional info dict in reset function, implemented for cartpole, tests seem to be passing * merged core.py * updated return type annotation for reset function in core.py * optional metadata with return_info from reset added for all first party environments, with corresponding tests. Incomplete implementation for wrappers and vector wrappers * removed Optional type for return_info arguments * added tests for return_info to normalize wrapper and sync_vector_env * autoformatted using black * added optional reset metadata tests to several wrappers * added return_info capability to async_vector_env.py and test to verify functionality * added optional return_info test for record_video.py * removed tests for mujoco environments * autoformatted * improved test coverage for optional reset return_info * re-removed unit test envs accidentally reintroduced in merge * removed unnecessary import * changes based on code-review * small fix to core wrapper typing and autoformatted record_epsisode_stats * small change to pass flake8 style
60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
import pytest
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import numpy as np
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import gym
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from gym.wrappers import RecordEpisodeStatistics
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@pytest.mark.parametrize("env_id", ["CartPole-v0", "Pendulum-v1"])
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@pytest.mark.parametrize("deque_size", [2, 5])
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def test_record_episode_statistics(env_id, deque_size):
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env = gym.make(env_id)
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env = RecordEpisodeStatistics(env, deque_size)
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for n in range(5):
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env.reset()
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assert env.episode_returns[0] == 0.0
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assert env.episode_lengths[0] == 0
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for t in range(env.spec.max_episode_steps):
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_, _, done, info = env.step(env.action_space.sample())
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if done:
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assert "episode" in info
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assert all([item in info["episode"] for item in ["r", "l", "t"]])
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break
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assert len(env.return_queue) == deque_size
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assert len(env.length_queue) == deque_size
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def test_record_episode_statistics_reset_info():
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env = gym.make("CartPole-v1")
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env = RecordEpisodeStatistics(env)
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ob_space = env.observation_space
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obs = env.reset()
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assert ob_space.contains(obs)
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del obs
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obs, info = env.reset(return_info=True)
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assert ob_space.contains(obs)
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assert isinstance(info, dict)
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@pytest.mark.parametrize(
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("num_envs", "asynchronous"), [(1, False), (1, True), (4, False), (4, True)]
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)
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def test_record_episode_statistics_with_vectorenv(num_envs, asynchronous):
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envs = gym.vector.make("CartPole-v0", num_envs=num_envs, asynchronous=asynchronous)
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envs = RecordEpisodeStatistics(envs)
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max_episode_step = (
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envs.env_fns[0]().spec.max_episode_steps
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if asynchronous
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else envs.env.envs[0].spec.max_episode_steps
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)
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envs.reset()
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for _ in range(max_episode_step + 1):
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_, _, dones, infos = envs.step(envs.action_space.sample())
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for idx, info in enumerate(infos):
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if dones[idx]:
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assert "episode" in info
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assert all([item in info["episode"] for item in ["r", "l", "t"]])
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break
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