code: def testSampleTokenizeAndDetokenize(
      self, nbest_size, alpha, out_type
  ):
      sp = SentencepieceTokenizer(
          self.model,
          nbest_size=nbest_size,
          alpha=alpha,
          out_type=out_type,
      )
      sentences = [
          ["I love carpet", "I love desk.", "I love lamp."],
          ["Never tell me the odds"],
      ]
      result = sp.tokenize(ragged_factory_ops.constant(sentences))
      detokenized = sp.detokenize(result)
      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 19 for calling the SentencepieceTokenizerOpTest obj's underlying member method code with example usage: obj.testSampleTokenizeAndDetokenize(nbest_size, alpha, out_type) without return types