code: def featurize(self, tokenizer, feat_spec):
      return single_sentence_featurize(
          guid=self.guid,
          input_tokens=self.text,
          label_id=self.label_id,
          tokenizer=tokenizer,
          feat_spec=feat_spec,
          data_row_class=DataRow,
      )
  
imports: import numpy
  import torch
  from dataclasses import dataclass
  from typing import List
  from jiant.tasks.core import BaseExample, BaseTokenizedExample, BaseDataRow, BatchMixin, GlueMixin, Task, TaskTypes
  from jiant.tasks.lib.templates.shared import single_sentence_featurize, labels_to_bimap
  from jiant.utils.python.io import read_jsonl
label_desc: Use image node_id 1 for calling the TokenizedExample obj's underlying member method code with example usage: obj.featurize(tokenizer, feat_spec) and returns: single_sentence_featurize