code: def test_default_configuration(self):
      transformation, original = _test_preprocessing(
          FeatureAgglomeration
      )
      self.assertEqual(transformation.shape[0], original.shape[0])
      self.assertFalse((transformation == 0).all())
  
file_path: auto-sklearn/test/test_pipeline/components/feature_preprocessing/test_feature_agglomeration.py
imports: import sklearn.metrics
  from sklearn.ensemble import RandomForestClassifier
  from autosklearn.pipeline.components.feature_preprocessing.feature_agglomeration import FeatureAgglomeration
  from autosklearn.pipeline.util import PreprocessingTestCase, _test_preprocessing, get_dataset
label_desc: Use image node_id 1 for calling the FeatureAgglomerationComponentTest obj's underlying member method code with example usage: obj.test_default_configuration() without return types