code: def testMatrix(self):
      test_value = constant_op.constant(
          [[b"ab", b"cde"], [b"12", b"34"]]
      )
      expected_tokens = [
          [[ord("a"), ord("b")], [ord("c"), ord("d"), ord("e")]],
          [[ord("1"), ord("2")], [ord("3"), ord("4")]],
      ]
      expected_offset_starts = [[[0, 1], [0, 1, 2]], [[0, 1], [0, 1]]]
      expected_offset_ends = [[[1, 2], [1, 2, 3]], [[1, 2], [1, 2]]]
      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(
          self.evaluate(detokenized).to_list(),
          self.evaluate(test_value).tolist(),
      )
  
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 6 for calling the UnicodeCharTokenizerOpTest obj's underlying member method code with example usage: obj.testMatrix() without return types