docstr: Context to ensure the job is terminated.
  
  Aside from running _terminate_job at exit, it also registers
  a signal handler to terminate the job if the program is interrupted
  or terminated. It restores the original handlers on exit.
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code: def _terminate_job_context(self):
      """
      Context to ensure the job is terminated.
  
      Aside from running _terminate_job at exit, it also registers
      a signal handler to terminate the job if the program is interrupted
      or terminated. It restores the original handlers on exit.
      """
  
      def terminate_handler(signum, frame):
          self._terminate_job()
  
      register_handler(terminate_handler)
  
      yield
  
      self._terminate_job()
      unregister_handler(terminate_handler)
  
imports: import os
  import time
  import subprocess
  import tempfile
  from collections import deque
  from contextlib import contextmanager
  from typing import Any, Dict, Optional, Tuple, List
  from anyscale.sdk.anyscale_client.models import CreateProductionJob, HaJobStates
  from ray_release.anyscale_util import LAST_LOGS_LENGTH, get_cluster_name
  from ray_release.cluster_manager.cluster_manager import ClusterManager
  from ray_release.exception import CommandTimeout, JobStartupTimeout, JobStartupFailed
  from ray_release.logger import logger
  from ray_release.signal_handling import register_handler, unregister_handler
  from ray_release.util import ANYSCALE_HOST, ERROR_LOG_PATTERNS, exponential_backoff_retry, anyscale_job_url, format_link
label_desc: Use image node_id 12 for calling the AnyscaleJobManager obj's underlying member method code with example usage: obj._terminate_job_context() without return types