code: def __init__(
      self,
      backend: Backend,
      queue: multiprocessing.Queue,
      metrics: Sequence[Scorer],
      additional_components: Dict[str, ThirdPartyComponents],
      port: Optional[int],
      configuration: Optional[Union[int, Configuration]] = None,
      scoring_functions: Optional[List[Scorer]] = None,
      seed: int = 1,
      include: Optional[List[str]] = None,
      exclude: Optional[List[str]] = None,
      disable_file_output: bool = False,
      init_params: Optional[Dict[str, Any]] = None,
  ):
      super(TestEvaluator, self).__init__(
          backend=backend,
          queue=queue,
          port=port,
          configuration=configuration,
          metrics=metrics,
          additional_components=additional_components,
          scoring_functions=scoring_functions,
          seed=seed,
          output_y_hat_optimization=False,
          num_run=-1,
          include=include,
          exclude=exclude,
          disable_file_output=disable_file_output,
          init_params=init_params,
      )
      self.configuration = configuration
  
      self.X_train = self.datamanager.data["X_train"]
      self.Y_train = self.datamanager.data["Y_train"]
  
      self.X_test = self.datamanager.data.get("X_test")
      self.Y_test = self.datamanager.data.get("Y_test")
  
      self.model = self._get_model(self.feat_type)
  
file_path: auto-sklearn/autosklearn/evaluation/test_evaluator.py
imports: from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
  import multiprocessing
  import numpy
  from ConfigSpace import Configuration
  from smac.tae import StatusType
  from autosklearn.automl_common.common.utils.backend import Backend
  from autosklearn.evaluation.abstract_evaluator import AbstractEvaluator, _fit_and_suppress_warnings
  from autosklearn.metrics import Scorer, calculate_losses
  from autosklearn.pipeline.components.base import ThirdPartyComponents
label_desc: Use image node_id 1 to create a new TestEvaluator object from inherited base classes: AbstractEvaluator with example: obj = TestEvaluator(backend, queue, metrics, additional_components, port, configuration, scoring_functions, seed, include, exclude, disable_file_output, init_params)