code: def job_function_with_checkpoint(
      a, checkpoint_1=None, *, b, checkpoint_2=None
  ):
      return a + b
  
imports: from __future__ import absolute_import
  import os
  import sys
  import pytest
  from mock import patch, Mock, ANY, mock_open
  from mock.mock import MagicMock
  from sagemaker.config import load_sagemaker_config
  from sagemaker.remote_function.checkpoint_location import CheckpointLocation
  from sagemaker.remote_function.core.stored_function import _SerializedData
  from sagemaker.session_settings import SessionSettings
  from sagemaker.remote_function.spark_config import SparkConfig
  from sagemaker.remote_function.custom_file_filter import CustomFileFilter
  from sagemaker.remote_function.core.pipeline_variables import Context
  from sagemaker.workflow.pipeline_context import _PipelineConfig
  from sagemaker.workflow.pipeline_definition_config import PipelineDefinitionConfig
  from sagemaker.workflow.execution_variables import ExecutionVariables
  from sagemaker.utils import sagemaker_timestamp
  from tests.unit import DATA_DIR
  from sagemaker.remote_function.job import _JobSettings, _Job, _convert_run_to_json, _prepare_and_upload_runtime_scripts, _prepare_and_upload_workspace, _prepare_and_upload_spark_dependent_files, _upload_spark_submit_deps, _upload_serialized_spark_configuration, _extend_spark_config_to_request, _prepare_dependencies_and_pre_execution_scripts
label_desc: Use image node_id 5 for calling a global function with example usage: job_function_with_checkpoint(a, checkpoint_1) and returns: unknown