code: def test_smoke(self):
      ds = (
          tf.data.Dataset.from_tensor_slices(
              [
                  "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do",
                  "eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut",
                  "enim ad minim veniam, quis nostrud exercitation ullamco laboris",
                  "nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in",
                  "reprehenderit in voluptate velit esse cillum dolore eu fugiat",
                  "nulla pariatur. Excepteur sint occaecat cupidatat non proident,",
                  "sunt in culpa qui officia deserunt mollit anim id est laborum.",
              ]
          )
          .repeat(10)
          .batch(3)
      )
  
      reserved = ["<START>", "<END>"]
      vocab = bert_vocab_from_dataset.bert_vocab_from_dataset(
          ds,
          vocab_size=65,
          reserved_tokens=reserved,
          bert_tokenizer_params={"lower_case": True},
      )
  
      self.assertContainsSubset(reserved, vocab)
      self.assertContainsSubset(["a", "b", "c"], vocab)
      self.assertContainsSubset(["dolore", "dolor"], vocab)
      self.assertContainsSubset(["##q", "##r", "##s"], vocab)
  
imports: from absl.testing import absltest
  import tensorflow
  from tensorflow_text.tools.wordpiece_vocab import bert_vocab_from_dataset
label_desc: Use image node_id 1 for calling the BertVocabFromDatasetTest obj's underlying member method code with example usage: obj.test_smoke() without return types