code: def test_tokenization_and_featurization():
      task = MLMPretokenizedTask(name="mlm_pretokenized", path_dict={})
      tokenizer = transformers.RobertaTokenizer.from_pretrained(
          "roberta-base"
      )
      example = task.Example(
          guid=None,
          tokenized_text=[
              "Hi",
              ",",
              "Ġmy",
              "Ġname",
              "Ġis",
              "ĠBob",
              "ĠRoberts",
              ".",
          ],
          masked_spans=[[2, 3], [5, 6]],
      )
      tokenized_example = example.tokenize(tokenizer=tokenizer)
      assert tokenized_example.masked_tokens == [
          "Hi",
          ",",
          "Ġmy",
          "Ġname",
          "Ġis",
          "ĠBob",
          "ĠRoberts",
          ".",
      ]
      assert tokenized_example.label_tokens == [
          "<pad>",
          "<pad>",
          "Ġmy",
          "<pad>",
          "<pad>",
          "ĠBob",
          "<pad>",
          "<pad>",
      ]
  
      data_row = tokenized_example.featurize(
          tokenizer=tokenizer,
          feat_spec=JiantTransformersModelFactory.build_featurization_spec(
              model_type=ModelArchitectures.ROBERTA.value,
              max_seq_length=16,
          ),
      )
      assert list(data_row.masked_input_ids) == [
          0,
          30086,
          6,
          127,
          766,
          16,
          3045,
          6274,
          4,
          2,
          1,
          1,
          1,
          1,
          1,
          1,
      ]
      assert list(data_row.masked_lm_labels) == [
          -100,
          -100,
          -100,
          127,
          -100,
          -100,
          3045,
          -100,
          -100,
          -100,
          -100,
          -100,
          -100,
          -100,
          -100,
          -100,
      ]
  
imports: import transformers
  import jiant.shared.model_resolution
  from jiant.tasks.retrieval import MLMPretokenizedTask
  from jiant.shared.model_resolution import ModelArchitectures
  from jiant.proj.main.modeling.primary import JiantTransformersModelFactory
label_desc: Use image node_id 1 for calling a global function with example usage: test_tokenization_and_featurization() without return types