______________________________________________________________________________________________________________ test_async_env _______________________________________________________________________________________________________________

size = 10000, num = 8, sleep = 0.1

    def test_async_env(size=10000, num=8, sleep=0.1):
        # simplify the test case, just keep stepping
        env_fns = [
            lambda i=i: MyTestEnv(size=i, sleep=sleep, random_sleep=True)
            for i in range(size, size + num)
        ]
        test_cls = [SubprocVectorEnv, ShmemVectorEnv]
        if has_ray():
            test_cls += [RayVectorEnv]
        for cls in test_cls:
            v = cls(env_fns, wait_num=num // 2, timeout=1e-3)
>           v.seed(None)

test/base/test_env.py:66: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tianshou/env/venvs.py:329: in seed
    return [w.seed(s) for w, s in zip(self.workers, seed_list)]
tianshou/env/venvs.py:329: in <listcomp>
    return [w.seed(s) for w, s in zip(self.workers, seed_list)]
tianshou/env/worker/ray.py:66: in seed
    return ray.get(self.env.seed.remote(seed))
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = Actor(_SetAttrWrapper, 6127ea1483717728cd9940b301000000), item = 'seed'

    def __getattr__(self, item):
        if not self._ray_is_cross_language:
>           raise AttributeError(
                f"'{type(self).__name__}' object has " f"no attribute '{item}'"
            )
E           AttributeError: 'ActorHandle' object has no attribute 'seed'

/home/markus/OpenSourceDev/venvs/tianshou_env/lib64/python3.10/site-packages/ray/actor.py:1184: AttributeError