code: def test_count_vocab_items_with_non_default_feature_name(self):
      tokenizer = SpacyTokenizer(parse=True)
      tokens = tokenizer.tokenize("This is a sentence.")
      tokens = [Token("<S>")] + [t for t in tokens] + [Token("</S>")]
      indexer = SingleIdTokenIndexer(
          namespace="dep_labels",
          feature_name="dep_",
          default_value="NONE",
      )
      counter = defaultdict(lambda: defaultdict(int))
      for token in tokens:
          indexer.count_vocab_items(token, counter)
  
      assert counter["dep_labels"] == {
          "ROOT": 1,
          "nsubj": 1,
          "det": 1,
          "NONE": 2,
          "attr": 1,
          "punct": 1,
      }
  
imports: from collections import defaultdict
  from dataclasses import dataclass
  import pytest
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Token, Vocabulary
  from allennlp.data.token_indexers import SingleIdTokenIndexer
  from allennlp.data.tokenizers import SpacyTokenizer
label_desc: Use image node_id 4 for calling the TestSingleIdTokenIndexer obj's underlying member method code with example usage: obj.test_count_vocab_items_with_non_default_feature_name() without return types