code: def get_evaluation_backend():
      backend_mock = unittest.mock.Mock(spec=Backend)
      backend_mock.temporary_directory = tempfile.gettempdir()
  
      # Assign a default data
      backend_mock.load_datamanager.return_value = (
          get_multiclass_classification_datamanager()
      )
  
      return backend_mock
  
imports: import functools
  import tempfile
  import traceback
  import numpy
  import sklearn.datasets
  import sklearn.model_selection
  from numpy.linalg import LinAlgError
  from sklearn import preprocessing
  from autosklearn.automl_common.common.utils.backend import Backend
  from autosklearn.constants import BINARY_CLASSIFICATION, MULTICLASS_CLASSIFICATION, MULTILABEL_CLASSIFICATION, REGRESSION
  from autosklearn.data.xy_data_manager import XYDataManager
  from autosklearn.metrics import accuracy, balanced_accuracy, f1_macro, f1_micro, f1_weighted, log_loss, precision_macro, precision_micro, precision_weighted, recall_macro, recall_micro, recall_weighted
  from autosklearn.pipeline.util import get_dataset
  from autosklearn.util.data import convert_to_bin
  import unittest
label_desc: Use image node_id 1 for calling a global function with example usage: get_evaluation_backend() and returns: backend_mock