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: Inherited attribute from BaseExecutor.
  
  Since this is not really an executor, but a wrapper of executors
  we implemented it as property, so we can have custom setter.
docstr_tok: ["Inherited","attribute","from","BaseExecutor",".","Since","this","is","not","really","an","executor",",","but","a","wrapper","of","executors","we","implemented","it","as","property",",","so","we","can","have","custom","setter","."]
code: def job_id(self) -> str | None:
      """
      Inherited attribute from BaseExecutor.
  
      Since this is not really an executor, but a wrapper of executors
      we implemented it as property, so we can have custom setter.
      """
      return self._job_id
  
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 4 for calling the LocalKubernetesExecutor obj's underlying member method code with example usage: obj.job_id() and returns: self