code: def test_default_configuration(self):
      transformation, original = _test_preprocessing(
          RandomTreesEmbedding
      )
      self.assertEqual(transformation.shape[0], original.shape[0])
      self.assertEqual(transformation.shape[1], 218)
      self.assertIsInstance(original, np.ndarray)
      self.assertTrue(scipy.sparse.issparse(transformation))
      self.assertTrue(all(transformation.data == 1))
  
file_path: auto-sklearn/test/test_pipeline/components/feature_preprocessing/test_random_trees_embedding.py
imports: import numpy
  import scipy.sparse
  from autosklearn.pipeline.components.feature_preprocessing.random_trees_embedding import RandomTreesEmbedding
  from autosklearn.pipeline.util import _test_preprocessing, get_dataset
  import unittest
label_desc: Use image node_id 1 for calling the RandomTreesEmbeddingComponentTest obj's underlying member method code with example usage: obj.test_default_configuration() without return types