code: def test_oasst_training_cpu(tmp_path, config_name, metric):
      run_oasst(tmp_path, config_name, metric)
  
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 5 for calling a global function with example usage: test_oasst_training_cpu(tmp_path, config_name, metric) without return types