class_docstr: Benchmarks for various ops in TF Text.
class_docstr_tok: ["Benchmarks","for","various","ops","in","TF","Text","."]
code: def benchmark_state_based_sentence_breaking(self):
      if FLAGS.ragged_vs_dense:
          return
  
      # TODO(b/167267653): Remove custom input(line below) when the bug is fixed
      self.input_data = constant_op.constant(
          ["Hello (who are you)? Foo bar!"]
      )
  
      sentence_breaker = text_ops.StateBasedSentenceBreaker()
      self._run(sentence_breaker.break_sentences)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl import app
  from absl import flags
  import numpy
  import tensorflow
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow_text.python import ops
  from tensorflow_text.python.benchmarks import benchmark_utils
label_desc: Use image node_id 10 for calling the OpsBenchmark obj's underlying member method code with example usage: obj.benchmark_state_based_sentence_breaking() without return types