code: def get_experiment_status(path: str) -> str:
      """Get status information from experiment.
  
      Args:
          path: path to experiment folder
      Returns:
          experiment status
      """
  
      try:
          flag_json_path = os.path.join(path, "flags.json")
          if not os.path.exists(flag_json_path):
              return "none"
          with open(flag_json_path) as file:
              flags = json.load(file)
              status = flags.get("status", "none")
          return status
      except Exception:
          return "none"
  
file_path: h2o-llmstudio/tests/integration/test_integration.py
imports: import json
  import os
  import sys
  import numpy
  import pandas
  import pytest
  import torch
  import yaml
  from transformers.testing_utils import execute_subprocess_async
  from llm_studio.app_utils.default_datasets import prepare_default_dataset_causal_language_modeling
label_desc: Use image node_id 1 for calling a global function with example usage: get_experiment_status(path) and returns: status, str, str