code: def test_remove_pending_placement_group(
      ray_start_cluster, connect_to_client
  ):
      cluster = ray_start_cluster
      cluster.add_node(num_cpus=4)
      ray.init(address=cluster.address)
  
      with connect_to_client_or_not(connect_to_client):
          # Create a placement group that cannot be scheduled now.
          placement_group = ray.util.placement_group(
              [{"GPU": 2}, {"CPU": 2}]
          )
          ray.util.remove_placement_group(placement_group)
  
          # TODO(sang): Add state check here.
          @ray.remote(num_cpus=4)
          def f():
              return 3
  
          # Make sure this task is still schedulable.
          assert ray.get(f.remote()) == 3
  
          placement_group_assert_no_leak([placement_group])
  
imports: import pytest
  import os
  import sys
  import ray
  import ray.cluster_utils
  from ray._private.test_utils import get_other_nodes, wait_for_condition, is_placement_group_removed, placement_group_assert_no_leak
  from ray._raylet import PlacementGroupID
  from ray.util.placement_group import PlacementGroup
  from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy
  from ray.util.client.ray_client_helpers import connect_to_client_or_not
  from ray._private.runtime_env.context import RuntimeEnvContext
  from ray._private.runtime_env.plugin import RuntimeEnvPlugin
label_desc: Use image node_id 3 for calling a global function with example usage: test_remove_pending_placement_group(ray_start_cluster, connect_to_client) and returns: int