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: cloud_id: {{env["ANYSCALE_CLOUD_ID"]}}
  region: us-west-2
  
  max_workers: 0
  
  head_node_type:
      name: head_node
      instance_type: m5.24xlarge
  
  worker_node_types:
      - name: worker_node
        instance_type: m5.xlarge
        min_workers: 0
        max_workers: 0
        use_spot: false
  