class_docstr: Adapted from the original WordpieceTokenizer tests.
class_docstr_tok: ["Adapted","from","the","original","WordpieceTokenizer","tests","."]
docstr: Let the table determine how to do a lookup on unknown tokens.
code: def testWordPieceOpWithIdReturned(self):
      """Let the table determine how to do a lookup on unknown tokens."""
      tokens = ragged_factory_ops.constant(
          [[b"don't", b"tread", b"cantfindme", b"treadcantfindme"]]
      )
      tokenizer = FastWordpieceTokenizer(
          vocab=_ENGLISH_VOCAB,
          token_out_type=dtypes.int64,
          no_pretokenization=True,
      )
      subwords, _, _ = tokenizer.tokenize_with_offsets(tokens)
  
      self.assertAllEqual(subwords, [[[0, 1, 2], [3], [21], [21]]])
      self.assertEqual(subwords.dtype, dtypes.int64)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl import flags
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_text
  from tensorflow.lite.python import interpreter
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import test
  from tensorflow_text.python.ops.fast_wordpiece_tokenizer import FastWordpieceTokenizer
label_desc: Use image node_id 3 for calling the FastWordpieceOpOriginalTest obj's underlying member method code with example usage: obj.testWordPieceOpWithIdReturned() without return types