code: def test_default_configuration_sparse_data(self):
      transformations = []
      transformation, original = _test_preprocessing(
          NumericalImputation, make_sparse=True
      )
      self.assertEqual(transformation.shape, original.shape)
      self.assertTrue((transformation.data == original.data).all())
      self.assertIsInstance(transformation, sparse.csc_matrix)
      transformations.append(transformation)
  
file_path: auto-sklearn/test/test_pipeline/components/data_preprocessing/test_numerical_imputation.py
imports: from scipy import sparse
  from autosklearn.pipeline.components.data_preprocessing.imputation.numerical_imputation import NumericalImputation
  from autosklearn.pipeline.util import PreprocessingTestCase, _test_preprocessing
label_desc: Use image node_id 2 for calling the NumericalImputationTest obj's underlying member method code with example usage: obj.test_default_configuration_sparse_data() without return types