code: def test_default_configuration(self):
      transformations = []
      for i in range(2):
          transformation, original = self._test_helper(
              RescalingChoice, dataset="boston"
          )
          # The maximum is around 1.95 for the transformed array...
          self.assertAlmostEqual(np.mean(transformation), 0, places=5)
          self.assertAlmostEqual(np.std(transformation), 1, places=5)
          self.assertFalse((original == transformation).all())
          transformations.append(transformation)
          if len(transformations) > 1:
              self.assertTrue(
                  (transformations[-1] == transformations[-2]).all()
              )
  
file_path: auto-sklearn/test/test_pipeline/components/data_preprocessing/test_scaling.py
imports: import numpy
  import sklearn.datasets
  from autosklearn.pipeline.components.data_preprocessing.rescaling import RescalingChoice
  from autosklearn.pipeline.util import get_dataset
  import unittest
label_desc: Use image node_id 3 for calling the ScalingComponentTest obj's underlying member method code with example usage: obj.test_default_configuration() without return types