code: def test_default_configuration_sparse_data(self):
      transformations = []
      transformation, original = _test_preprocessing(
          VarianceThreshold, make_sparse=True
      )
      self.assertEqual(transformation.shape, (100, 3))
      self.assertTrue(
          (transformation.toarray() == original.toarray()[:, 1:]).all()
      )
      self.assertIsInstance(transformation, sparse.csr_matrix)
      transformations.append(transformation)
  
file_path: auto-sklearn/test/test_pipeline/components/data_preprocessing/test_variance_threshold.py
imports: from scipy import sparse
  from autosklearn.pipeline.components.data_preprocessing.variance_threshold.variance_threshold import VarianceThreshold
  from autosklearn.pipeline.util import PreprocessingTestCase, _test_preprocessing
label_desc: Use image node_id 2 for calling the VarianceThresholdTest obj's underlying member method code with example usage: obj.test_default_configuration_sparse_data() without return types