code: def describe_auto_ml_job_mock(job_name=None):
      if job_name is None or job_name == JOB_NAME:
          return AUTO_ML_DESC
      elif job_name == JOB_NAME_2:
          return AUTO_ML_DESC_2
      elif job_name == JOB_NAME_3:
          return AUTO_ML_DESC_3
  
imports: from __future__ import absolute_import
  import copy
  import pytest
  from mock import Mock, patch
  from sagemaker import AutoML, AutoMLJob, AutoMLInput, CandidateEstimator, PipelineModel
  from sagemaker.predictor import Predictor
  from sagemaker.session_settings import SessionSettings
  from sagemaker.workflow.functions import Join
  from tests.unit import SAGEMAKER_CONFIG_AUTO_ML, SAGEMAKER_CONFIG_TRAINING_JOB, _test_default_bucket_and_prefix_combinations, DEFAULT_S3_BUCKET_NAME, DEFAULT_S3_OBJECT_KEY_PREFIX_NAME
label_desc: Use image node_id 1 for calling a global function with example usage: describe_auto_ml_job_mock(job_name) and returns: AUTO_ML_DESC, AUTO_ML_DESC_2, AUTO_ML_DESC_3