code: def testWhitespaceCharacters(self):
      test_value = constant_op.constant([b"t\tc\rd\nl"])
      expected_tokens = [
          [
              ord("t"),
              ord("\t"),
              ord("c"),
              ord("\r"),
              ord("d"),
              ord("\n"),
              ord("l"),
          ]
      ]
      expected_offset_starts = [[0, 1, 2, 3, 4, 5, 6]]
      expected_offset_ends = [[1, 2, 3, 4, 5, 6, 7]]
      tokens = self.tokenizer.tokenize(test_value)
      self.assertAllEqual(tokens, expected_tokens)
      (tokens, starts, ends) = self.tokenizer.tokenize_with_offsets(
          test_value
      )
      self.assertAllEqual(tokens, expected_tokens)
      self.assertAllEqual(starts, expected_offset_starts)
      self.assertAllEqual(ends, expected_offset_ends)
  
      detokenized = self.tokenizer.detokenize(tokens)
      self.assertAllEqual(detokenized, test_value)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensorflow.python.framework import constant_op
  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.unicode_char_tokenizer import UnicodeCharTokenizer
label_desc: Use image node_id 12 for calling the UnicodeCharTokenizerOpTest obj's underlying member method code with example usage: obj.testWhitespaceCharacters() without return types