code: def with_timeout(timeout, target, args=(), kwargs={}):
      """Don't wait if the sklearn function takes really too long."""
      try:
          ctx = mp.get_context("fork")
      except ValueError:
          logger.warn(
              '"fork" multiprocessing start method is not available. '
              "The sklearn model will run in the same process and "
              "cannot be killed if it runs too long."
          )
          return target(*args, **kwargs)
      q = ctx.Queue()
  
      def target_res():
          try:
              q.put((True, target(*args, **kwargs)))
          except BaseException as e:  # noqa E722
              print("Test subprocess failed with an exception: ", e)
              q.put((False, None))
  
      p = ctx.Process(target=target_res)
      p.start()
      try:
          success, val = q.get(True, timeout)
          if success:
              return val
          else:
              raise RuntimeError("Got an exception in the subprocess.")
      except Empty:
          p.terminate()
          raise TimeoutError()
  
imports: import cuml.internals.logger
  import cuml
  import cuml.svm
  import sklearn.svm
  from cuml.testing.utils import unit_param, quality_param, stress_param
  from queue import Empty
  import cuml.model_selection
  import cuml.datasets
  import pytest
  from cuml.internals.safe_imports import cpu_only_import
  import gc
  import multiprocessing
  import time
  import math
  from cuml.internals.safe_imports import gpu_only_import
  from cuml.common import input_to_cuml_array
label_desc: Use image node_id 2 for calling a global function with example usage: with_timeout(timeout, target, args, kwargs) and returns: target, val