code: def test_mol_ordering():
      mols = get_molecules()
      featurizer = ConvMolFeaturizer()
      featurized_mols = featurizer.featurize(mols)
      for i in range(len(featurized_mols)):
          atom_features = featurized_mols[i].atom_features
          degree_list = np.expand_dims(
              featurized_mols[i].degree_list, axis=1
          )
          atom_features = np.concatenate(
              [degree_list, atom_features], axis=1
          )
          featurized_mols[i].atom_features = atom_features
  
      conv_mol = ConvMol.agglomerate_mols(featurized_mols)
  
      for start, end in conv_mol.deg_slice.tolist():
          members = conv_mol.membership[start:end]
          sorted_members = np.array(sorted(members))
          members = np.array(members)
          assert np.all(sorted_members == members)
  
      conv_mol_atom_features = conv_mol.get_atom_features()
  
      adj_number = 0
      for start, end in conv_mol.deg_slice.tolist():
          deg_features = conv_mol_atom_features[start:end]
          adj_number_array = deg_features[:, 0]
          assert np.all(adj_number_array == adj_number)
          adj_number += 1
  
imports: import numpy
  from deepchem.feat import ConvMolFeaturizer
  from deepchem.feat.mol_graphs import ConvMol
  from deepchem.molnet import load_bace_classification
label_desc: Use image node_id 2 for calling a global function with example usage: test_mol_ordering() without return types