code: def handle_result(self, intermiedate_results=None):
      if intermiedate_results:
          self.results.append(intermiedate_results)
      if self.counter == self.fail_on:
          print("killing")
          self.results = []
          ray.kill(self.worker_group.workers[0].actor)
          time.sleep(3)
      self.counter += 1
  
imports: import functools
  import time
  from unittest.mock import patch
  import pytest
  import ray
  from ray import train
  from ray.air._internal.util import StartTraceback
  from ray.train import DataConfig
  from ray.train._internal.backend_executor import BackendExecutor
  from ray.train._internal.session import get_session, init_session
  from ray.train._internal.utils import construct_train_func
  from ray.train._internal.worker_group import WorkerGroup
  from ray.train.backend import BackendConfig
  from ray.train.examples.pytorch.torch_linear_example import train_func
  from ray.train.examples.tf.tensorflow_mnist_example import train_func
  from ray.train.tests.util import mock_storage_context
  from ray.train.trainer import TrainingIterator
label_desc: Use image node_id 2 for calling the KillCallback obj's underlying member method code with example usage: obj.handle_result(intermiedate_results) without return types