hunk.code_window:         Args:
               env_id: The sub-environment's ID if applicable. If None, reset
                   the entire Env (i.e. all sub-environments).
           Returns:
               The reset (multi-agent) observation dict. None if reset is not
               supported.
  
hunk.labels: keep keep keep keep add keep keep keep
hunk.after_edit:         Note: A MultiAgentDict is returned when using the deprecated wrapper
           classes such as `ray.rllib.env.base_env._MultiAgentEnvToBaseEnv`,
           however for consistency with the poll() method, a `MultiEnvDict` is
           returned from the new wrapper classes, such as
           `ray.rllib.env.multi_agent_env.MultiAgentEnvWrapper`.
  
hunk.file_path: rllib/env/base_env.py
hunk.type: add
file: Stage 0 results:
  	Total time: 22.579216480255127
  Stage 1 results:
  	Total time: 154.41431832313538
  	Average iteration time: 15.441423058509827
  	Max iteration time: 15.943994760513306
  	Min iteration time: 15.029884099960327
  Stage 2 results:
  	Total time: 646.7662391662598
  	Average iteration time: 129.35279755592347
  	Max iteration time: 134.80017256736755
  	Min iteration time: 121.44297170639038
  Stage 3 results:
  	Actor creation time: 0.0635519027709961
  	Total time: 3464.0461547374725