code: def test_reserved_cpu_warnings_no_cpu_usage(ray_start_1_cpu_1_gpu):
      """Ensure there is no divide by zero error if trial requires no CPUs."""
  
      def train_loop(config):
          pass
  
      trainer = DummyTrainer(
          train_loop,
          scaling_config=ScalingConfig(
              num_workers=1, use_gpu=True, trainer_resources={"CPU": 0}
          ),
          datasets={"train": ray.data.range(10)},
      )
      trainer.fit()
  
imports: import logging
  import tempfile
  import pytest
  import ray
  from ray import train, tune
  from ray.air.constants import MAX_REPR_LENGTH
  from ray.data.context import DataContext
  from ray.train import Checkpoint, ScalingConfig
  from ray.train.gbdt_trainer import GBDTTrainer
  from ray.train.trainer import BaseTrainer
  from ray.util.placement_group import get_current_placement_group
label_desc: Use image node_id 5 for calling a global function with example usage: test_reserved_cpu_warnings_no_cpu_usage(ray_start_1_cpu_1_gpu) without return types