mirror of
https://github.com/Farama-Foundation/Gymnasium.git
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bf093c6890
* Remove additional ignores from flake8 * Remove all unused imports * Remove all unused imports * Update flake8 and pyupgrade * F841, removed unused variables * E731, removed lambda assignment to variables * Remove E731, F403, F405, F524 * Remove E722, bare exceptions * Remove E712, compare variable == True or == False to is True or is False * Remove E402, module level import not at top of file * Added --pre-file-ignores * Add --per-file-ignores removing E741, E302 and E704 * Add E741, do not use variables named ‘l’, ‘O’, or ‘I’ to ignore issues in classic control * Fixed issues for pytest==6.2 * Remove unnecessary # noqa * Edit comment with the removal of E302 * Added warnings and declared module, attr for pyright type hinting * Remove unused import * Removed flake8 E302 * Updated flake8 from 3.9.2 to 4.0.1 * Remove unused variable
101 lines
3.1 KiB
Python
101 lines
3.1 KiB
Python
import os
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import shutil
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import gym
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from gym.wrappers import capped_cubic_video_schedule
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def test_record_video_using_default_trigger():
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env = gym.make("CartPole-v1")
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env = gym.wrappers.RecordVideo(env, "videos")
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env.reset()
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for _ in range(199):
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action = env.action_space.sample()
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_, _, done, _ = env.step(action)
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if done:
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env.reset()
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env.close()
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assert os.path.isdir("videos")
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mp4_files = [file for file in os.listdir("videos") if file.endswith(".mp4")]
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assert len(mp4_files) == sum(
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capped_cubic_video_schedule(i) for i in range(env.episode_id + 1)
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)
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shutil.rmtree("videos")
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def test_record_video_reset_return_info():
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env = gym.make("CartPole-v1")
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env = gym.wrappers.RecordVideo(env, "videos", step_trigger=lambda x: x % 100 == 0)
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ob_space = env.observation_space
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obs, info = env.reset(return_info=True)
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env.close()
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assert os.path.isdir("videos")
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shutil.rmtree("videos")
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assert ob_space.contains(obs)
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assert isinstance(info, dict)
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env = gym.make("CartPole-v1")
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env = gym.wrappers.RecordVideo(env, "videos", step_trigger=lambda x: x % 100 == 0)
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ob_space = env.observation_space
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obs = env.reset(return_info=False)
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env.close()
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assert os.path.isdir("videos")
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shutil.rmtree("videos")
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assert ob_space.contains(obs)
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env = gym.make("CartPole-v1")
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env = gym.wrappers.RecordVideo(env, "videos", step_trigger=lambda x: x % 100 == 0)
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ob_space = env.observation_space
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obs = env.reset()
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env.close()
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assert os.path.isdir("videos")
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shutil.rmtree("videos")
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assert ob_space.contains(obs)
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def test_record_video_step_trigger():
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env = gym.make("CartPole-v1")
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env._max_episode_steps = 20
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env = gym.wrappers.RecordVideo(env, "videos", step_trigger=lambda x: x % 100 == 0)
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env.reset()
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for _ in range(199):
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action = env.action_space.sample()
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_, _, done, _ = env.step(action)
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if done:
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env.reset()
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env.close()
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assert os.path.isdir("videos")
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mp4_files = [file for file in os.listdir("videos") if file.endswith(".mp4")]
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assert len(mp4_files) == 2
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shutil.rmtree("videos")
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def make_env(gym_id, seed):
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def thunk():
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env = gym.make(gym_id)
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env._max_episode_steps = 20
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if seed == 1:
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env = gym.wrappers.RecordVideo(
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env, "videos", step_trigger=lambda x: x % 100 == 0
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)
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return env
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return thunk
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def test_record_video_within_vector():
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envs = gym.vector.SyncVectorEnv([make_env("CartPole-v1", 1 + i) for i in range(2)])
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envs = gym.wrappers.RecordEpisodeStatistics(envs)
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envs.reset()
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for i in range(199):
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_, _, _, infos = envs.step(envs.action_space.sample())
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for info in infos:
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if "episode" in info.keys():
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print(f"episode_reward={info['episode']['r']}")
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break
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assert os.path.isdir("videos")
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mp4_files = [file for file in os.listdir("videos") if file.endswith(".mp4")]
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assert len(mp4_files) == 2
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shutil.rmtree("videos")
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