class_docstr: Test on end-to-end fast WordPiece when input is sentence.
class_docstr_tok: ["Test","on","end-to-end","fast","WordPiece","when","input","is","sentence","."]
code: def testTokenizerBuiltFromConfig(self, id_inputs, expected_outputs):
      tokenizer = FastWordpieceTokenizer(
          vocab=_TEST_VOCAB,
          max_bytes_per_word=_TEST_MAX_BYTES_PER_WORD,
          suffix_indicator=_TEST_SUFFIX_INDICATOR,
          unknown_token=_TEST_UNKNOWN_TOKEN,
          support_detokenization=True,
      )
      results = tokenizer.detokenize(id_inputs)
      self.assertAllEqual(results, expected_outputs)
  
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 1 for calling the FastWordpieceDetokenizeOpTest obj's underlying member method code with example usage: obj.testTokenizerBuiltFromConfig(id_inputs, expected_outputs) without return types