code: def test_placement_group_gpu_assigned(
      ray_start_cluster, connect_to_client
  ):
      cluster = ray_start_cluster
      cluster.add_node(num_gpus=2)
      ray.init(address=cluster.address)
      gpu_ids_res = set()
  
      @ray.remote(num_gpus=1, num_cpus=0)
      def f():
          import os
  
          return os.environ["CUDA_VISIBLE_DEVICES"]
  
      with connect_to_client_or_not(connect_to_client):
          pg1 = ray.util.placement_group([{"GPU": 1}])
          pg2 = ray.util.placement_group([{"GPU": 1}])
  
          assert pg1.wait(10)
          assert pg2.wait(10)
  
          gpu_ids_res.add(
              ray.get(
                  f.options(
                      scheduling_strategy=PlacementGroupSchedulingStrategy(
                          placement_group=pg1
                      )
                  ).remote()
              )
          )
          gpu_ids_res.add(
              ray.get(
                  f.options(
                      scheduling_strategy=PlacementGroupSchedulingStrategy(
                          placement_group=pg2
                      )
                  ).remote()
              )
          )
  
          assert len(gpu_ids_res) == 2
  
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 10 for calling a global function with example usage: test_placement_group_gpu_assigned(ray_start_cluster, connect_to_client) and returns: os