code: def get_mock_job_settings():
      mock_job_settings = _JobSettings(
          s3_root_uri="s3://bucket",
          instance_type="ml.m5.large",
          image_uri="test_image_uri",
          s3_kms_key="kms-key",
      )
  
      return mock_job_settings
  
imports: from __future__ import absolute_import
  import json
  from sagemaker.remote_function.job import _JobSettings
  from sagemaker.workflow.conditions import ConditionEquals, ConditionGreaterThan, ConditionGreaterThanOrEqualTo, ConditionIn, ConditionLessThan, ConditionLessThanOrEqualTo, ConditionNot, ConditionOr
  from sagemaker.workflow.execution_variables import ExecutionVariables
  from sagemaker.workflow.function_step import step
  from sagemaker.workflow.parameters import ParameterInteger, ParameterString
  from sagemaker.workflow.condition_step import ConditionStep
  from sagemaker.workflow.pipeline import Pipeline, PipelineGraph
  from tests.unit.sagemaker.workflow.helpers import CustomStep, ordered
label_desc: Use image node_id 1 for calling a global function with example usage: get_mock_job_settings() and returns: mock_job_settings