code: def run():
      import ray
      from ray.job_config import JobConfig
  
      ray.init(job_config=JobConfig(code_search_path=["/home/code/"]))
  
      @ray.remote
      def foo() -> bool:
          return ray._private.worker.global_worker.load_code_from_local
  
      load_code_from_local = ray.get(foo.remote())
  
      statement = (
          "propagated" if load_code_from_local else "NOT propagated"
      )
  
      # Step 1: Print the statement indicating that the code_search_path have been
      #         properly respected
      print(f"Code search path is {statement}")
      # Step 2: Print the whole runtime_env to validate that it's been passed
      #         appropriately from submit_job API
      print(ray.get_runtime_context().runtime_env)
  
label_desc: Use image node_id 1 for calling a global function with example usage: run() and returns: ray