code: def test_loading():
      """Test that the FASTA loader can load with this featurizer."""
      from transformers import BertTokenizerFast
      from deepchem.feat.bert_tokenizer import BertFeaturizer
      from deepchem.data.data_loader import FASTALoader
  
      tokenizer = BertTokenizerFast.from_pretrained(
          "Rostlab/prot_bert", do_lower_case=False
      )
      featurizer = BertFeaturizer(tokenizer)
  
      loader = FASTALoader(
          featurizer=featurizer, legacy=False, auto_add_annotations=True
      )
      file_loc = realpath(__file__)
      directory = dirname(file_loc)
      data = loader.create_dataset(
          input_files=join(directory, "data/uniprot_truncated.fasta")
      )
  
      assert data.X.shape == (61, 3, 5)
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_loading() without return types