code: def _get_gpu_complaint() -> str:
      """The logger warning generated when processing the above CR."""
      return (
          "Detected GPUs in container resources for group small-group."
          "To ensure Ray and the autoscaler are aware of the GPUs,"
          " set the `--num-gpus` rayStartParam."
      )
  
imports: import copy
  from pathlib import Path
  import requests
  from typing import Any, Dict, Optional
  from unittest import mock
  import platform
  import pytest
  import yaml
  from ray.autoscaler._private.kuberay.autoscaling_config import _derive_autoscaling_config_from_ray_cr, AutoscalingConfigProducer, _round_up_k8s_quantity
label_desc: Use image node_id 8 for calling a global function with example usage: _get_gpu_complaint() and returns: str