class_docstr: Chooses between LocalExecutor and KubernetesExecutor based on the queue defined on the task.
  
  When the task's queue is the value of ``kubernetes_queue`` in section ``[local_kubernetes_executor]``
  of the configuration (default value: `kubernetes`), KubernetesExecutor is selected to run the task,
  otherwise, LocalExecutor is used.
class_docstr_tok: ["Chooses","between","LocalExecutor","and","KubernetesExecutor","based","on","the","queue","defined","on","the","task",".","When","the","task","'s","queue","is","the","value","of","``","kubernetes_queue","``","in","section","``","[","local_kubernetes_executor","]","``","of","the","configuration","(","default","value",":","`","kubernetes","`",")",",","KubernetesExecutor","is","selected","to","run","the","task",",","otherwise",",","LocalExecutor","is","used","."]
docstr: Queues command via local or kubernetes executor.
docstr_tok: ["Queues","command","via","local","or","kubernetes","executor","."]
code: def queue_command(
      self,
      task_instance: TaskInstance,
      command: CommandType,
      priority: int = 1,
      queue: str | None = None,
  ) -> None:
      """Queues command via local or kubernetes executor."""
      executor = self._router(task_instance)
      self.log.debug(
          "Using executor: %s for %s",
          executor.__class__.__name__,
          task_instance.key,
      )
      executor.queue_command(task_instance, command, priority, queue)
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Sequence
  from airflow.configuration import conf
  from airflow.providers.cncf.kubernetes.executors.kubernetes_executor import KubernetesExecutor
  from airflow.utils.log.logging_mixin import LoggingMixin
label_desc: Use image node_id 8 for calling the LocalKubernetesExecutor obj's underlying member method code with example usage: obj.queue_command(task_instance, command, priority, queue) without return types