code: def example_smiles_n_features():
      """
      Sample data for testing
  
      Returns
      -------
      dictionary
      format {'smiles':required feature vector : List}
      """
      feature_vector_C = [
          [
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              0,
              0.12011,
          ]
      ]
      feature_vector_NN = [
          [
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              1,
              0,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              0.14007,
          ],
          [
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              1,
              0,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              0,
              0,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              0.14007,
          ],
      ]
      return {"C": feature_vector_C, "N#N": feature_vector_NN}
  
file_path: deepchem/deepchem/feat/tests/test_atom_feature_generator_dmpnn.py
imports: from deepchem.feat.molecule_featurizers.dmpnn_featurizer import get_atomic_num_one_hot, get_atom_chiral_tag_one_hot, get_atom_mass, atom_features, GraphConvConstants
  from rdkit import Chem
  import pytest
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: example_smiles_n_features() and returns: dict