8a015062717a7eee6d6325e06ed9fc4d369fedc6,deepchem/models/tests/test_reload.py,,test_smiles2vec_reload,#,973

Before Change

  n_tasks = 1
  data_points = 10
  mols = ["CCCCCCCC"] * data_points
  X = featurizer(mols)

  y = np.random.randint(0, 2, size=(data_points, n_tasks))

After Change

// TODO: This test is a little awkward. The Smiles2Vec model awkwardly depends on a dataset_file being available on disk. This needs to be cleaned up to match the standard model handling API.
def test_smiles2vec_reload():
  Test that smiles2vec models can be saved and reloaded.
  dataset_file = os.path.join(os.path.dirname(__file__), "chembl_25_small.csv")
  max_len = 250
  pad_len = 10
  max_seq_len = 20
  char_to_idx = create_char_to_idx(

Instances