code: def test_default_configuration(self):
      transformations = []
      for i in range(2):
          transformation, original = _test_preprocessing(
              VarianceThreshold
          )
          self.assertEqual(transformation.shape, original.shape)
          self.assertTrue((transformation == original).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_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 1 for calling the VarianceThresholdTest obj's underlying member method code with example usage: obj.test_default_configuration() without return types