class_docstr: Poll the transform job until it reaches a terminal state; raise AirflowException with the failure reason.
  
  .. seealso::
      For more information on how to use this sensor, take a look at the guide:
      :ref:`howto/sensor:SageMakerTransformSensor`
  
  :param job_name: Name of the transform job to watch.
class_docstr_tok: ["Poll","the","transform","job","until","it","reaches","a","terminal","state",";","raise","AirflowException","with","the","failure","reason",".","..","seealso",":",":","For","more","information","on","how","to","use","this","sensor",",","take","a","look","at","the","guide",":",":","ref",":","`","howto\/sensor",":","SageMakerTransformSensor","`",":","param","job_name",":","Name","of","the","transform","job","to","watch","."]
code: def get_sagemaker_response(self):
      self.log.info("Poking Sagemaker Transform Job %s", self.job_name)
      return self.hook.describe_transform_job(self.job_name)
  
imports: from __future__ import annotations
  import time
  from functools import cached_property
  from typing import TYPE_CHECKING, Sequence
  from deprecated import deprecated
  from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning, AirflowSkipException
  from airflow.providers.amazon.aws.hooks.sagemaker import LogState, SageMakerHook
  from airflow.sensors.base import BaseSensorOperator
label_desc: Use image node_id 4 for calling the SageMakerTransformSensor obj's underlying member method code with example usage: obj.get_sagemaker_response() and returns: self