code: def terminate_transform_job(
      job_name, region_name, archive, asynchronous, timeout
  ):
      """
      Terminate the specified Sagemaker batch transform job. Unless ``--archive`` is specified,
      all SageMaker resources associated with the batch transform job are deleted as well.
  
      By default, unless the ``--async`` flag is specified, this command will block until
      either the termination process completes (definitively succeeds or fails) or the specified
      timeout elapses.
      """
      mlflow.sagemaker.terminate_transform_job(
          job_name=job_name,
          region_name=region_name,
          archive=archive,
          synchronous=(not asynchronous),
          timeout_seconds=timeout,
      )
  
file_path: mlflow/mlflow/sagemaker/cli.py
imports: import json
  import os
  import click
  import mlflow
  import mlflow.models.docker_utils
  import mlflow.sagemaker
  from mlflow.sagemaker import DEFAULT_IMAGE_NAME
  from mlflow.utils import cli_args
  from mlflow.utils import env_manager
label_desc: Use image node_id 3 for calling a global function with example usage: terminate_transform_job(job_name, region_name, archive, asynchronous, timeout) without return types