class_docstr: Airflow Scheduler for Kubernetes.
class_docstr_tok: ["Airflow","Scheduler","for","Kubernetes","."]
code: def _health_check_kube_watchers(self):
      for namespace, kube_watcher in self.kube_watchers.items():
          if kube_watcher.is_alive():
              self.log.debug(
                  "KubeJobWatcher for namespace %s alive, continuing",
                  namespace,
              )
          else:
              self.log.error(
                  (
                      "Error while health checking kube watcher process for namespace %s. "
                      "Process died for unknown reasons"
                  ),
                  namespace,
              )
              ResourceVersion().resource_version[namespace] = "0"
              self.kube_watchers[namespace] = self._make_kube_watcher(
                  namespace
              )
  
imports: from __future__ import annotations
  import contextlib
  import json
  import multiprocessing
  import time
  from queue import Empty, Queue
  from typing import TYPE_CHECKING, Any, Generic, TypeVar
  from kubernetes import client, watch
  from kubernetes.client.rest import ApiException
  from urllib3.exceptions import ReadTimeoutError
  from airflow.exceptions import AirflowException
  from airflow.providers.cncf.kubernetes.kube_client import get_kube_client
  from airflow.providers.cncf.kubernetes.kubernetes_helper_functions import annotations_for_logging_task_metadata, annotations_to_key, create_pod_id
  from airflow.providers.cncf.kubernetes.pod_generator import PodGenerator
  from airflow.utils.log.logging_mixin import LoggingMixin
  from airflow.utils.state import TaskInstanceState
label_desc: Use image node_id 5 for calling the AirflowKubernetesScheduler obj's underlying member method code with example usage: obj._health_check_kube_watchers() without return types