class_docstr: Test on end-to-end fast Phrase when input is sentence.
code: def testTokenizerBuiltFromConfig(self, id_inputs, expected_outputs):
      tokenizer = PhraseTokenizer(
          vocab=_ENGLISH_VOCAB,
          unknown_token="<UNK>",
          support_detokenization=True,
          prob=0,
          split_end_punctuation=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 tensorflow
  from tensorflow.python.data.kernel_tests import test_base
  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 test
  from tensorflow_text.python.ops.phrase_tokenizer import PhraseTokenizer
label_desc: Use image node_id 1 for calling the PhraseDetokenizeOpTest obj's underlying member method code with example usage: obj.testTokenizerBuiltFromConfig(id_inputs, expected_outputs) without return types