code: def _skip_if_no_cuda_device_available(device_name):
      # Skip if the device is CUDA device and there's no sufficient CUDA devices.
      cuda_device_count = _get_required_cuda_devices_from_device_name(
          device_name
      )
      if cuda_device_count > cuda_utils.get_cuda_limit():
          pytest.skip()
  
imports: import pytest
  import chainerx.testing
  from chainerx_tests import cuda_utils
label_desc: Use image node_id 9 for calling a global function with example usage: _skip_if_no_cuda_device_available(device_name) without return types