code: def testPaddedBatchDatasetUnicode(self):
      # See GitHub issue 16149
      def generator():
          data = [
              ["Простой", "тест", "юникода"],
              ["никогда", "не", "бывает", "простым"],
          ]
  
          for seq in data:
              yield seq, [0, 1, 2, 3]
  
      dataset = dataset_ops.Dataset.from_generator(
          generator,
          (dtypes.string, dtypes.int32),
          (
              tensor_shape.TensorShape([None]),
              tensor_shape.TensorShape([None]),
          ),
      )
      padded_dataset = dataset.padded_batch(
          2, padded_shapes=([None], [None]), padding_values=("", 0)
      )
      next_element = self.getNext(padded_dataset)
      self.evaluate(next_element())
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops.ragged import ragged_tensor_value
  from tensorflow.python.platform import test
  from tensorflow.python.util import compat
label_desc: Use image node_id 10 for calling the PaddedBatchTest obj's underlying member method code with example usage: obj.testPaddedBatchDatasetUnicode() without return types