code: def testTokenizeAndDetokenizeWithOffsetsSingleElementVector(self):
      sp = SentencepieceTokenizer(self.model, out_type=dtypes.string)
      sentences = ["I love lamp."]
      expected_tokens = [["▁I", "▁l", "o", "ve", "▁l", "amp", "."]]
      expected_tokens = _utf8(expected_tokens)
      expected_starts = [[0, 1, 3, 4, 6, 8, 11]]
      expected_ends = [[1, 3, 4, 6, 8, 11, 12]]
      (tokens, starts, ends) = sp.tokenize_with_offsets(
          ragged_factory_ops.constant(sentences)
      )
      self.assertAllEqual(expected_tokens, tokens)
      self.assertAllEqual(expected_starts, starts)
      self.assertAllEqual(expected_ends, ends)
      detokenized = sp.detokenize(tokens)
      self.assertAllEqual(_utf8(sentences), detokenized)
  
imports: import sys
  import tempfile
  from absl.testing import parameterized
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.module import module
  from tensorflow.python.ops import gen_experimental_dataset_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_gather_ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import test
  from tensorflow.python.saved_model import load
  from tensorflow.python.saved_model import save
  from tensorflow_text.python.ops.sentencepiece_tokenizer import SentencepieceTokenizer
label_desc: Use image node_id 16 for calling the SentencepieceTokenizerOpTest obj's underlying member method code with example usage: obj.testTokenizeAndDetokenizeWithOffsetsSingleElementVector() without return types