code: def _stop_caip_job(j: Job) -> bool:
      """stops a running caip job
  
      see:
      https://cloud.google.com/ai-platform/training/docs/reference/rest/v1/projects.jobs/cancel
  
      Args:
      j: job to stop
  
      Returns:
      True on success, False otherwise
      """
  
      api = _get_caip_job_api()
      name = _get_caip_job_name(j)
  
      try:
          rsp = api.cancel(name=name).execute()
      except Exception as e:
          logging.error("error stopping CAIP job {name}: {e}")
          return False
  
      if rsp != {}:
          logging.error(
              "error stopping CAIP job {name}: {pp.format(rsp)}"
          )
          return False
  
      return True
  
imports: import os
  import sys
  from contextlib import contextmanager
  from copy import deepcopy
  from typing import Any, Dict, List, Optional
  from absl import logging
  from blessings import Terminal
  from googleapiclient import discovery
  from sqlalchemy import create_engine
  from sqlalchemy.engine.base import Engine
  from sqlalchemy.exc import OperationalError
  from sqlalchemy.orm import Session, sessionmaker
  import caliban.config.experiment
  import caliban.util.auth
  from caliban.history.types import ContainerSpec, Experiment, ExperimentGroup, Job, JobSpec, JobStatus, Platform, init_db
  from caliban.platform.cloud.types import JobStatus
  from caliban.platform.gke.cluster import Cluster
  from caliban.platform.gke.types import JobStatus
  from caliban.platform.gke.util import default_credentials
label_desc: Use image node_id 14 for calling a global function with example usage: _stop_caip_job(j) and returns: True, False, False