code: def run_script_path(training_script: str, *training_script_args: str):
      """
      Run the provided `training_script` from within this interpreter.
  
      Usage: `script_as_function("/abs/path/to/script.py", "--arg1", "val1")`
      """
      import runpy
      import sys
  
      sys.argv = [training_script] + [*training_script_args]
      runpy.run_path(sys.argv[0], run_name="__main__")
  
imports: import logging
  import os
  import sys
  import uuid
  from argparse import REMAINDER, ArgumentParser
  from typing import Callable, List, Tuple, Union
  import torch
  from torch.distributed.argparse_util import check_env, env
  from torch.distributed.elastic.multiprocessing import Std
  from torch.distributed.elastic.multiprocessing.errors import record
  from torch.distributed.elastic.rendezvous.utils import _parse_rendezvous_config
  from torch.distributed.elastic.utils import macros
  from torch.distributed.elastic.utils.logging import get_logger
  from torch.distributed.launcher.api import LaunchConfig, elastic_launch
  from torch.utils.backend_registration import _get_custom_mod_func
label_desc: Use image node_id 8 for calling a global function with example usage: run_script_path(training_script) without return types