code: def teardown_cluster(
      cluster_config: Union[dict, str],
      workers_only: bool = False,
      keep_min_workers: bool = False,
  ) -> None:
      """Destroys all nodes of a Ray cluster described by a config json.
  
      Args:
          cluster_config (Union[str, dict]): Either the config dict of the
              cluster, or a path pointing to a file containing the config.
          workers_only: Whether to keep the head node running and only
              teardown worker nodes.
          keep_min_workers: Whether to keep min_workers (as specified
              in the YAML) still running.
      """
      with _as_config_file(cluster_config) as config_file:
          return commands.teardown_cluster(
              config_file=config_file,
              yes=True,
              workers_only=workers_only,
              override_cluster_name=None,
              keep_min_workers=keep_min_workers,
          )
  
imports: import json
  import os
  import tempfile
  from contextlib import contextmanager
  from typing import Any, Callable, Dict, Iterator, List, Optional, Union
  from ray.autoscaler._private import commands
  from ray.autoscaler._private.cli_logger import cli_logger
  from ray.autoscaler._private.event_system import CreateClusterEvent
  from ray.autoscaler._private.event_system import global_event_system
  from ray.util.annotations import DeveloperAPI
label_desc: Use image node_id 2 for calling a global function with example usage: teardown_cluster(cluster_config, workers_only, keep_min_workers) and returns: commands