code: def test_load_words(self):
      ids = load_words(
          self.singles_fname,
          WhitespaceTokenizer(),
          self.singles_vocab,
          "tokens",
          all_cases=False,
      )
      # first two token IDs reserved for [CLS] and [SEP]
      assert torch.equal(
          torch.tensor([i.item() for i in ids]),
          torch.arange(2, self.num_singles + 2),
      )
  
file_path: allennlp/tests/fairness/bias_utils_test.py
imports: import json
  import torch
  from allennlp.fairness.bias_utils import load_words, load_word_pairs
  from allennlp.common.file_utils import cached_path
  from allennlp.common.testing.test_case import AllenNlpTestCase
  from allennlp.data import Instance, Token
  from allennlp.data.batch import Batch
  from allennlp.data import Vocabulary
  from allennlp.data.tokenizers.whitespace_tokenizer import WhitespaceTokenizer
  from allennlp.data.token_indexers import SingleIdTokenIndexer
  from allennlp.data.fields import TextField
label_desc: Use image node_id 3 for calling the BiasUtilsTest obj's underlying member method code with example usage: obj.test_load_words() without return types