code: def test_terminate(pool_4_processes):
      def f(signal):
          return ray.get(signal.wait.remote())
  
      signal = SignalActor.remote()
      result = pool_4_processes.map_async(f, [signal for _ in range(4)])
      assert not result.ready()
      pool_4_processes.terminate()
  
      # terminate() should interrupt pending tasks, so check that join() returns
      # even though the tasks should be blocked forever.
      pool_4_processes.join()
      result.wait(timeout=10)
      assert result.ready()
      assert not result.successful()
      with pytest.raises(ray.exceptions.RayError):
          result.get()
  
imports: import os
  import sys
  import platform
  import pytest
  import tempfile
  import time
  import random
  from collections import defaultdict
  import queue
  import math
  import ray
  from ray._private.test_utils import SignalActor
  from ray.util.multiprocessing import Pool, TimeoutError, JoinableQueue
  from ray.util.joblib import register_ray
  from joblib import parallel_backend, Parallel, delayed
label_desc: Use image node_id 11 for calling a global function with example usage: test_terminate(pool_4_processes) and returns: ray