code: def test_oasst_classification_training_gpu(tmp_path, settings):
      metric, config_name = settings
      run_oasst(
          tmp_path,
          config_name=config_name,
          metric=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 3 for calling a global function with example usage: test_oasst_classification_training_gpu(tmp_path, settings) without return types