class_docstr: CeleryKubernetesExecutor consists of CeleryExecutor and KubernetesExecutor.
  
  It chooses an executor to use based on the queue defined on the task.
  When the queue is the value of ``kubernetes_queue`` in section ``[celery_kubernetes_executor]``
  of the configuration (default value: `kubernetes`), KubernetesExecutor is selected to run the task,
  otherwise, CeleryExecutor is used.
class_docstr_tok: ["CeleryKubernetesExecutor","consists","of","CeleryExecutor","and","KubernetesExecutor",".","It","chooses","an","executor","to","use","based","on","the","queue","defined","on","the","task",".","When","the","queue","is","the","value","of","``","kubernetes_queue","``","in","section","``","[","celery_kubernetes_executor","]","``","of","the","configuration","(","default","value",":","`","kubernetes","`",")",",","KubernetesExecutor","is","selected","to","run","the","task",",","otherwise",",","CeleryExecutor","is","used","."]
code: def kubernetes_queue(self) -> str:
      return conf.get("celery_kubernetes_executor", "kubernetes_queue")
  
imports: from __future__ import annotations
  from functools import cached_property
  from typing import TYPE_CHECKING, Sequence
  from airflow.configuration import conf
  from airflow.providers.celery.executors.celery_executor import CeleryExecutor
  from airflow.utils.log.logging_mixin import LoggingMixin
  from airflow.utils.providers_configuration_loader import providers_configuration_loaded
label_desc: Use image node_id 1 for calling the CeleryKubernetesExecutor obj's underlying member method code with example usage: obj.kubernetes_queue() and returns: conf