code: def register_env(name: str, env_creator: Callable):
      """Register a custom environment for use with RLlib.
  
      This enables the environment to be accessed on every Ray process
      in the cluster.
  
      Args:
          name: Name to register.
          env_creator: Callable that creates an env.
      """
  
      if not callable(env_creator):
          raise TypeError(
              "Second argument must be callable.", env_creator
          )
      _global_registry.register(ENV_CREATOR, name, env_creator)
  
imports: import atexit
  import logging
  from functools import partial
  from types import FunctionType
  from typing import Callable, Optional, Type, Union
  import ray
  import ray.cloudpickle
  from ray.experimental.internal_kv import _internal_kv_get, _internal_kv_initialized, _internal_kv_put, _internal_kv_del
  from ray.tune.error import TuneError
  from ray.util.annotations import DeveloperAPI
label_desc: Use image node_id 7 for calling a global function with example usage: register_env(name, env_creator) without return types