code: def create_inference_recommendations_job_default_with_model_package_arn_and_compilation():
      base_job_response = (
          create_inference_recommendations_job_default_with_model_package_arn()
      )
      base_job_response["InferenceRecommendations"][0][
          "ModelConfiguration"
      ] = MODEL_CONFIG_WITH_INFERENCE_SPEC
      return base_job_response
  
imports: from __future__ import absolute_import
  from tests.unit.sagemaker.inference_recommender.constants import IR_JOB_NAME, IR_RECOMMENDATION_BASE, IR_ROLE_ARN, IR_FRAMEWORK, IR_SAMPLE_PAYLOAD_URL, IR_SUPPORTED_CONTENT_TYPES, IR_FRAMEWORK_VERSION, IR_NEAREST_MODEL_NAME, IR_SUPPORTED_INSTANCE_TYPES, IR_MODEL_PACKAGE_VERSION_ARN, IR_MODEL_NAME, IR_CONTAINER_CONFIG, MODEL_CONFIG_WITH_COMPILATION_JOB_NAME, MODEL_CONFIG_WITH_INFERENCE_SPEC
label_desc: Use image node_id 3 for calling a global function with example usage: create_inference_recommendations_job_default_with_model_package_arn_and_compilation() and returns: base_job_response