feature(nyz): adapt DingEnvWrapper to gymnasium

[PaParaZz1]

Description

• adapt DingEnvWrapper to gymnasium (test version: 0.29.1)

Examples

import gymnasium as gym
from ditk import logging
from ding.model import DQN
from ding.policy import DQNPolicy
from ding.envs import DingEnvWrapper, BaseEnvManagerV2
from ding.data import DequeBuffer
from ding.config import compile_config
from ding.framework import task
from ding.framework.context import OnlineRLContext
from ding.framework.middleware import OffPolicyLearner, StepCollector, interaction_evaluator, data_pusher, \
    eps_greedy_handler, CkptSaver, nstep_reward_enhancer, final_ctx_saver
from ding.utils import set_pkg_seed
from dizoo.classic_control.cartpole.config.cartpole_dqn_config import main_config, create_config


def main():
    logging.getLogger().setLevel(logging.INFO)
    main_config.exp_name = 'cartpole_dqn_nstep_gymnasium'
    main_config.policy.nstep = 3
    cfg = compile_config(main_config, create_cfg=create_config, auto=True)
    with task.start(async_mode=False, ctx=OnlineRLContext()):
        collector_env = BaseEnvManagerV2(
            env_fn=[lambda: DingEnvWrapper(gym.make("CartPole-v0")) for _ in range(cfg.env.collector_env_num)],
            cfg=cfg.env.manager
        )
        evaluator_env = BaseEnvManagerV2(
            env_fn=[lambda: DingEnvWrapper(gym.make("CartPole-v0")) for _ in range(cfg.env.evaluator_env_num)],
            cfg=cfg.env.manager
        )

        set_pkg_seed(cfg.seed, use_cuda=cfg.policy.cuda)

        model = DQN(**cfg.policy.model)
        buffer_ = DequeBuffer(size=cfg.policy.other.replay_buffer.replay_buffer_size)
        policy = DQNPolicy(cfg.policy, model=model)

        task.use(interaction_evaluator(cfg, policy.eval_mode, evaluator_env))
        task.use(eps_greedy_handler(cfg))
        task.use(StepCollector(cfg, policy.collect_mode, collector_env))
        task.use(nstep_reward_enhancer(cfg))
        task.use(data_pusher(cfg, buffer_))
        task.use(OffPolicyLearner(cfg, policy.learn_mode, buffer_))
        task.use(CkptSaver(policy, cfg.exp_name, train_freq=100))
        task.use(final_ctx_saver(cfg.exp_name))
        task.run()


if __name__ == "__main__":
    main()

Check List

• merge the latest version source branch/repo, and resolve all the conflicts
• pass style check
• pass all the tests

[codecov]

Codecov Report

Attention: Patch coverage is 97.22222% with 1 line in your changes missing coverage. Please review.

Project coverage is 75.99%. Comparing base (7f95159) to head (701152e).

Files	Patch %	Lines
ding/envs/env/ding_env_wrapper.py	95.00%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #817      +/-   ##
==========================================
+ Coverage   75.94%   75.99%   +0.04%     
==========================================
  Files         684      684              
  Lines       55597    55607      +10     
==========================================
+ Hits        42224    42256      +32     
+ Misses      13373    13351      -22     

Flag	Coverage Δ
unittests	75.99% <97.22%> (+0.04%)	⬆️

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[kxzxvbk]

I think there is no problem for this pr