code: def test_default_configuration_with_sparse_data(self):
      preprocessing = self._test_helper(
          RescalingChoice, dataset="boston", make_sparse=True
      )
      transformation, original = preprocessing
      self.assertEqual(original.getnnz(), transformation.getnnz())
      self.assertTrue(~np.allclose(original.data, transformation.data))
  
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 4 for calling the ScalingComponentTest obj's underlying member method code with example usage: obj.test_default_configuration_with_sparse_data() without return types