class_docstr: Test for `generate_global_features` helper function which generates global features for DMPNN featurizer
class_docstr_tok: ["Test","for","`","generate_global_features","`","helper","function","which","generates","global","features","for","DMPNN","featurizer"]
docstr: Set up tests.
docstr_tok: ["Set","up","tests","."]
code: def setUp(self):
      """
      Set up tests.
      """
      smiles_list = ["C", "[H]", "CC(=O)OC1=CC=CC=C1C(=O)O"]
      self.mol = [Chem.MolFromSmiles(smiles) for smiles in smiles_list]
      self.feature_generators = [
          [""],
          ["morgan"],
          ["morgan", ""],
          ["morgan", "morgan"],
          ["morgan_count"],
          ["rdkit_desc"],
          ["rdkit_desc_normalized"],
      ]
  
file_path: deepchem/deepchem/feat/tests/test_global_feature_generator_dmpnn.py
imports: import unittest
  import numpy
  from rdkit import Chem
  from deepchem.feat.molecule_featurizers.dmpnn_featurizer import generate_global_features
label_desc: Use image node_id 1 for calling the TestGlobalFeatureGenerator obj's underlying member method code with example usage: obj.setUp() without return types