code: def test_predict_batched(self):
      include = {"regressor": ["decision_tree"]}
      cs = SimpleRegressionPipeline(
          include=include
      ).get_hyperparameter_search_space()
      default = cs.get_default_configuration()
      regressor = SimpleRegressionPipeline(
          config=default, random_state=1, include=include
      )
  
      X_train, Y_train, X_test, Y_test = get_dataset(dataset="boston")
      regressor.fit(X_train, Y_train)
      X_test_ = X_test.copy()
      prediction_ = regressor.predict(X_test_)
      mock_predict = unittest.mock.Mock(
          wraps=regressor.steps[-1][-1].predict
      )
      regressor.steps[-1][-1].predict = mock_predict
      prediction = regressor.predict(X_test, batch_size=20)
      self.assertEqual((356,), prediction.shape)
      self.assertEqual(18, mock_predict.call_count)
      np.testing.assert_array_almost_equal(prediction_, prediction)
  
imports: import copy
  import itertools
  import resource
  import tempfile
  import numpy
  import sklearn.datasets
  import sklearn.decomposition
  import sklearn.ensemble
  import sklearn.svm
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter
  from joblib import Memory
  from sklearn.base import clone
  from sklearn.utils.validation import check_is_fitted
  import autosklearn.pipeline.components.feature_preprocessing
  import autosklearn.pipeline.components.regression
  from autosklearn.pipeline.components.base import AutoSklearnChoice, AutoSklearnComponent, AutoSklearnPreprocessingAlgorithm, AutoSklearnRegressionAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, SIGNED_DATA, SPARSE, UNSIGNED_DATA
  from autosklearn.pipeline.regression import SimpleRegressionPipeline
  from autosklearn.pipeline.util import get_dataset
  import unittest
  import unittest.mock
  from test.test_pipeline.ignored_warnings import ignore_warnings, regressor_warnings
label_desc: Use image node_id 17 for calling the SimpleRegressionPipelineTest obj's underlying member method code with example usage: obj.test_predict_batched() without return types