code: def processing_job_not_fail_or_complete(sagemaker_client, job_name):
      response = sagemaker_client.describe_processing_job(
          ProcessingJobName=job_name
      )
  
      if not response or "ProcessingJobStatus" not in response:
          raise ValueError(
              "Response is none or does not have ProcessingJobStatus"
          )
      status = response["ProcessingJobStatus"]
      return (
          status == "Failed"
          or status == "Completed"
          or status == "Stopped"
      )
  
imports: from __future__ import absolute_import
  import re
  import os
  import subprocess
  import time
  import urllib3
  from datetime import datetime
  from urllib3.util.retry import Retry
  import boto3
  import pytest
  from sagemaker.s3 import S3Downloader, S3Uploader
  from sagemaker.spark.processing import PySparkProcessor, SparkJarProcessor
  from tests.integ import DATA_DIR
  from unittest.case import TestCase
label_desc: Use image node_id 10 for calling a global function with example usage: processing_job_not_fail_or_complete(sagemaker_client, job_name) and returns: unknown