code: def test_default_configuration(self):
      transformations = []
      for i in range(2):
          transformation, original = _test_preprocessing(PCA)
          self.assertEqual(transformation.shape, original.shape)
          self.assertFalse((transformation == original).all())
          transformations.append(transformation)
          if len(transformations) > 1:
              np.testing.assert_allclose(
                  transformations[-1], transformations[-2], rtol=1e-4
              )
  
imports: import numpy
  from autosklearn.pipeline.components.feature_preprocessing.pca import PCA
  from autosklearn.pipeline.util import PreprocessingTestCase, _test_preprocessing
label_desc: Use image node_id 1 for calling the PCAComponentTest obj's underlying member method code with example usage: obj.test_default_configuration() without return types