mirror of
https://github.com/Farama-Foundation/Gymnasium.git
synced 2025-08-31 10:09:53 +00:00
9acf9cd367
* add pygame GUI for frozen_lake.py env * add new line at EOF * pre-commit reformat * improve graphics * new images and dynamic window size * darker tile borders and fix ICC profile * pre-commit hook * adjust elf and stool size * Update frozen_lake.py * reformat * fix #2600 * #2600 * add rgb_array support * reformat * test render api change on FrozenLake * add render support for reset on frozenlake * add clock on pygame render * new render api for blackjack * new render api for cliffwalking * new render api for Env class * update reset method, lunar and Env * fix wrapper * fix reset lunar * new render api for box2d envs * new render api for mujoco envs * fix bug * new render api for classic control envs * fix tests * add render_mode None for CartPole * new render api for test fake envs * pre-commit hook * fix FrozenLake * fix FrozenLake * more render_mode to super - frozenlake * remove kwargs from frozen_lake new * pre-commit hook * add deprecated render method * add backwards compatibility * fix test * add _render * move pygame.init() (avoid pygame dependency on init) * fix pygame dependencies * remove collect_render() maintain multi-behaviours .render() * add type hints * fix renderer * don't call .render() with None * improve docstring * add single_rgb_array to all envs * remove None from metadata["render_modes"] * add type hints to test_env_checkers * fix lint * add comments to renderer * add comments to single_depth_array and single_state_pixels * reformat * add deprecation warnings and env.render_mode declaration * fix lint * reformat * fix tests * add docs * fix car racing determinism * remove warning test envs, customizable modes on renderer * remove commments and add todo for env_checker * fix car racing * replace render mode check with assert * update new mujoco * reformat * reformat * change metaclass definition * fix tests * implement mark suggestions (test, docs, sets) * check_render Co-authored-by: J K Terry <jkterry0@gmail.com>
104 lines
3.2 KiB
Python
104 lines
3.2 KiB
Python
import os
|
|
import shutil
|
|
|
|
import gym
|
|
from gym.wrappers import capped_cubic_video_schedule
|
|
|
|
|
|
def test_record_video_using_default_trigger():
|
|
|
|
env = gym.make("CartPole-v1", render_mode="rgb_array")
|
|
env = gym.wrappers.RecordVideo(env, "videos")
|
|
env.reset()
|
|
for _ in range(199):
|
|
action = env.action_space.sample()
|
|
_, _, done, _ = env.step(action)
|
|
if done:
|
|
env.reset()
|
|
env.close()
|
|
assert os.path.isdir("videos")
|
|
mp4_files = [file for file in os.listdir("videos") if file.endswith(".mp4")]
|
|
assert len(mp4_files) == sum(
|
|
capped_cubic_video_schedule(i) for i in range(env.episode_id + 1)
|
|
)
|
|
shutil.rmtree("videos")
|
|
|
|
|
|
def test_record_video_reset_return_info():
|
|
env = gym.make("CartPole-v1", render_mode="rgb_array")
|
|
env = gym.wrappers.RecordVideo(env, "videos", step_trigger=lambda x: x % 100 == 0)
|
|
ob_space = env.observation_space
|
|
obs, info = env.reset(return_info=True)
|
|
env.close()
|
|
assert os.path.isdir("videos")
|
|
shutil.rmtree("videos")
|
|
assert ob_space.contains(obs)
|
|
assert isinstance(info, dict)
|
|
|
|
env = gym.make("CartPole-v1", render_mode="rgb_array")
|
|
env = gym.wrappers.RecordVideo(env, "videos", step_trigger=lambda x: x % 100 == 0)
|
|
ob_space = env.observation_space
|
|
obs = env.reset(return_info=False)
|
|
env.close()
|
|
assert os.path.isdir("videos")
|
|
shutil.rmtree("videos")
|
|
assert ob_space.contains(obs)
|
|
|
|
env = gym.make("CartPole-v1", render_mode="rgb_array")
|
|
env = gym.wrappers.RecordVideo(env, "videos", step_trigger=lambda x: x % 100 == 0)
|
|
ob_space = env.observation_space
|
|
obs = env.reset()
|
|
env.close()
|
|
assert os.path.isdir("videos")
|
|
shutil.rmtree("videos")
|
|
assert ob_space.contains(obs)
|
|
|
|
|
|
def test_record_video_step_trigger():
|
|
env = gym.make("CartPole-v1", render_mode="rgb_array")
|
|
env._max_episode_steps = 20
|
|
env = gym.wrappers.RecordVideo(env, "videos", step_trigger=lambda x: x % 100 == 0)
|
|
env.reset()
|
|
for _ in range(199):
|
|
action = env.action_space.sample()
|
|
_, _, done, _ = env.step(action)
|
|
if done:
|
|
env.reset()
|
|
env.close()
|
|
assert os.path.isdir("videos")
|
|
mp4_files = [file for file in os.listdir("videos") if file.endswith(".mp4")]
|
|
assert len(mp4_files) == 2
|
|
shutil.rmtree("videos")
|
|
|
|
|
|
def make_env(gym_id, seed, **kwargs):
|
|
def thunk():
|
|
env = gym.make(gym_id, **kwargs)
|
|
env._max_episode_steps = 20
|
|
if seed == 1:
|
|
env = gym.wrappers.RecordVideo(
|
|
env, "videos", step_trigger=lambda x: x % 100 == 0
|
|
)
|
|
return env
|
|
|
|
return thunk
|
|
|
|
|
|
def test_record_video_within_vector():
|
|
envs = gym.vector.SyncVectorEnv(
|
|
[make_env("CartPole-v1", 1 + i, render_mode="rgb_array") for i in range(2)]
|
|
)
|
|
envs = gym.wrappers.RecordEpisodeStatistics(envs)
|
|
envs.reset()
|
|
for i in range(199):
|
|
_, _, _, infos = envs.step(envs.action_space.sample())
|
|
|
|
# break when every env is done
|
|
if "episode" in infos and all(infos["_episode"]):
|
|
print(f"episode_reward={infos['episode']['r']}")
|
|
|
|
assert os.path.isdir("videos")
|
|
mp4_files = [file for file in os.listdir("videos") if file.endswith(".mp4")]
|
|
assert len(mp4_files) == 2
|
|
shutil.rmtree("videos")
|