code: def _get_ray_cr_missing_gpu_arg() -> dict:
      """CR with gpu present in K8s limits but not in Ray start params.
      Should result in a warning that Ray doesn't see the GPUs.
      """
      cr = get_basic_ray_cr()
      cr["spec"]["workerGroupSpecs"][0]["template"]["spec"][
          "containers"
      ][0]["resources"]["limits"]["nvidia.com/gpu"] = 1
      return cr
  
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 7 for calling a global function with example usage: _get_ray_cr_missing_gpu_arg() and returns: cr