code: def test_file_output(self):
      shutil.rmtree(self.working_directory, ignore_errors=True)
      os.mkdir(self.working_directory)
  
      queue_mock = unittest.mock.Mock()
  
      context = BackendContext(
          temporary_directory=os.path.join(
              self.working_directory, "tmp"
          ),
          output_directory=os.path.join(
              self.working_directory, "tmp_output"
          ),
          delete_tmp_folder_after_terminate=True,
          delete_output_folder_after_terminate=True,
          prefix="auto-sklearn",
      )
      with unittest.mock.patch.object(
          Backend, "load_datamanager"
      ) as load_datamanager_mock:
          load_datamanager_mock.return_value = (
              get_multiclass_classification_datamanager()
          )
  
          backend = Backend(context, prefix="auto-sklearn")
  
          ae = AbstractEvaluator(
              backend=backend,
              output_y_hat_optimization=False,
              queue=queue_mock,
              metrics=[accuracy],
              port=self.port,
              additional_components=dict(),
          )
          ae.model = sklearn.dummy.DummyClassifier()
  
          rs = np.random.RandomState(1)
          ae.Y_optimization = rs.rand(33, 3)
          predictions_ensemble = rs.rand(33, 3)
          predictions_test = rs.rand(25, 3)
  
          ae.file_output(
              Y_optimization_pred=predictions_ensemble,
              Y_test_pred=predictions_test,
          )
  
          self.assertTrue(
              os.path.exists(
                  os.path.join(
                      self.working_directory,
                      "tmp",
                      ".auto-sklearn",
                      "runs",
                      "1_0_None",
                  )
              )
          )
  
          shutil.rmtree(self.working_directory, ignore_errors=True)
  
imports: import logging.handlers
  import os
  import shutil
  import sys
  import tempfile
  import numpy
  import sklearn.dummy
  from smac.tae import StatusType
  from autosklearn.automl_common.common.utils.backend import Backend, BackendContext
  from autosklearn.evaluation.abstract_evaluator import AbstractEvaluator
  from autosklearn.metrics import accuracy
  from autosklearn.pipeline.components.base import _addons
  import unittest
  import unittest.mock
  from evaluation_util import get_multiclass_classification_datamanager
label_desc: Use image node_id 5 for calling the AbstractEvaluatorTest obj's underlying member method code with example usage: obj.test_file_output() without return types