code: def test_smiles_call():
      """Test __call__ method for the featurizer, which is inherited from HuggingFace's RobertaTokenizerFast"""
      from deepchem.feat.roberta_tokenizer import RobertaFeaturizer
  
      smiles = [
          "Cn1c(=O)c2c(ncn2C)n(C)c1=O",
          "CC(=O)N1CN(C(C)=O)C(O)C1O",
      ]
      long_molecule_smiles = [
          "CCCCCCCCCCCCCCCCCCCC(=O)OCCCNC(=O)c1ccccc1SSc1ccccc1C(=O)NCCCOC(=O)CCCCCCCCCCCCCCCCCCC"
      ]
      featurizer = RobertaFeaturizer.from_pretrained(
          "seyonec/SMILES_tokenized_PubChem_shard00_160k"
      )
      embedding = featurizer(
          smiles, add_special_tokens=True, truncation=True
      )
      embedding_long = featurizer(
          long_molecule_smiles * 2,
          add_special_tokens=True,
          truncation=True,
      )
      for emb in [embedding, embedding_long]:
          assert (
              "input_ids" in emb.keys()
              and "attention_mask" in emb.keys()
          )
          assert (
              len(emb["input_ids"]) == 2
              and len(emb["attention_mask"]) == 2
          )
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_smiles_call() without return types