code: def test_placement_group_gpu_set(
      ray_start_cluster, connect_to_client
  ):
      cluster = ray_start_cluster
      # One node which only has one CPU.
      cluster.add_node(num_cpus=1, num_gpus=1)
      cluster.add_node(num_cpus=1, num_gpus=1)
      cluster.wait_for_nodes()
      ray.init(address=cluster.address)
  
      with connect_to_client_or_not(connect_to_client):
          placement_group = ray.util.placement_group(
              name="name",
              strategy="PACK",
              bundles=[{"CPU": 1, "GPU": 1}, {"CPU": 1, "GPU": 1}],
          )
  
          @ray.remote(num_gpus=1)
          def get_gpus():
              return ray.get_gpu_ids()
  
          result = get_gpus.options(
              scheduling_strategy=PlacementGroupSchedulingStrategy(
                  placement_group=placement_group,
                  placement_group_bundle_index=0,
              )
          ).remote()
          result = ray.get(result)
          assert result == [0]
  
          result = get_gpus.options(
              scheduling_strategy=PlacementGroupSchedulingStrategy(
                  placement_group=placement_group,
                  placement_group_bundle_index=1,
              )
          ).remote()
          result = ray.get(result)
          assert result == [0]
  
imports: import sys
  import time
  import pytest
  import ray
  import ray._private.gcs_utils
  import ray.cluster_utils
  import ray.experimental.internal_kv
  from ray._private.ray_constants import DEBUG_AUTOSCALING_ERROR, DEBUG_AUTOSCALING_STATUS
  from ray.autoscaler._private.constants import AUTOSCALER_UPDATE_INTERVAL_S
  from ray._private.test_utils import convert_actor_state, generate_system_config_map, is_placement_group_removed, kill_actor_and_wait_for_failure, reset_autoscaler_v2_enabled_cache, run_string_as_driver, wait_for_condition
  from ray.autoscaler._private.commands import debug_status
  from ray.exceptions import RaySystemError
  from ray.util.client.ray_client_helpers import connect_to_client_or_not
  from ray.util.placement_group import placement_group, remove_placement_group
  from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy
label_desc: Use image node_id 9 for calling a global function with example usage: test_placement_group_gpu_set(ray_start_cluster, connect_to_client) and returns: ray