code: def create_inference_recommendations_job_default_base_response():
      return {
          "JobName": IR_JOB_NAME,
          "JobType": "Default",
          "RoleArn": IR_ROLE_ARN,
          "InputConfig": {
              "ContainerConfig": {
                  "Domain": "MACHINE_LEARNING",
                  "Task": "OTHER",
                  "Framework": IR_FRAMEWORK,
                  "PayloadConfig": {
                      "SamplePayloadUrl": IR_SAMPLE_PAYLOAD_URL,
                      "SupportedContentTypes": IR_SUPPORTED_CONTENT_TYPES,
                  },
                  "FrameworkVersion": IR_FRAMEWORK_VERSION,
                  "NearestModelName": IR_NEAREST_MODEL_NAME,
                  "SupportedInstanceTypes": IR_SUPPORTED_INSTANCE_TYPES,
              },
          },
          "JobDescription": "Inference Recommendations Job created with Python SDK",
      }
  
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 1 for calling a global function with example usage: create_inference_recommendations_job_default_base_response() and returns: dict