code: def test_tokenizer(self):
      assert [
          key in ["inputs", "input_ids", "attention_mask", "label"]
          for key, value in self.dataset_with_tokenizer[0].items()
      ]
      assert (
          self.dataset_with_tokenizer[0]["inputs"]
          == "this is test number 0"
      )
      assert self.dataset_with_tokenizer[0]["label"] == 1
      assert self.dataset_with_tokenizer.input_ids.shape[1] <= 128
      assert len(
          self.dataset_with_tokenizer[0]["attention_mask"]
      ) == len(self.dataset_with_tokenizer[0]["input_ids"])
  
imports: import unittest
  import pytest
  from torch.utils.data import Dataset
  from transformers import AutoTokenizer
  from baal.active.dataset import ActiveLearningDataset
  from baal.active.dataset.nlp_datasets import HuggingFaceDatasets
  import datasets
label_desc: Use image node_id 3 for calling the HuggingFaceDatasetsTest obj's underlying member method code with example usage: obj.test_tokenizer() without return types