code: def run_tune_script_for_time(
      run_time: int,
      experiment_name: str,
      indicator_file: str,
      no_syncer: bool,
      storage_path: Optional[str],
      run_start_timeout: int = 30,
  ):
      # Start run
      process = start_run(
          no_syncer=no_syncer,
          storage_path=storage_path,
          experiment_name=experiment_name,
          indicator_file=indicator_file,
      )
      try:
          # Wait until indicator file exists
          wait_for_run_or_raise(
              process,
              indicator_file=indicator_file,
              timeout=run_start_timeout,
          )
          # Stop experiment (with checkpoint) after some time
          send_signal_after_wait(
              process, signal=signal.SIGUSR1, wait=run_time
          )
          # Wait until process gracefully terminated
          wait_until_process_terminated(process, timeout=45)
      finally:
          process.terminate()
  
imports: import argparse
  import csv
  import io
  import tarfile
  from dataclasses import dataclass
  import json
  import os
  import pickle
  import platform
  import re
  import shutil
  import signal
  import subprocess
  import tempfile
  import time
  from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple
  import ray
  from ray.train._internal.storage import StorageContext
  from ray.tune.execution.experiment_state import _find_newest_experiment_checkpoint
  from ray.tune.result import _get_defaults_results_dir
  from ray.tune.utils.serialization import TuneFunctionDecoder
label_desc: Use image node_id 9 for calling a global function with example usage: run_tune_script_for_time(run_time, experiment_name, indicator_file, no_syncer, storage_path, run_start_timeout) without return types