code: def with_dummy_agent_id(
      env_id_to_values: Dict[EnvID, Any],
      dummy_id: "AgentID" = _DUMMY_AGENT_ID,
  ) -> MultiEnvDict:
      ret = {}
      for env_id, value in env_id_to_values.items():
          # If the value (e.g. the observation) is an Exception, publish this error
          # under the env ID so the caller of `poll()` knows that the entire episode
          # (sub-environment) has crashed.
          ret[env_id] = (
              value
              if isinstance(value, Exception)
              else {dummy_id: value}
          )
      return ret
  
imports: import logging
  from typing import Callable, Tuple, Optional, List, Dict, Any, TYPE_CHECKING, Union, Set
  import gymnasium
  import ray
  from ray.rllib.utils.annotations import Deprecated, DeveloperAPI, PublicAPI
  from ray.rllib.utils.typing import AgentID, EnvID, EnvType, MultiEnvDict
label_desc: Use image node_id 1 for calling a global function with example usage: with_dummy_agent_id(env_id_to_values, dummy_id) and returns: ret