code: def testGroupByWindowWithAutotune(self):
      dataset = dataset_ops.Dataset.range(1000).group_by_window(
          key_func=lambda x: x // 10,
          reduce_func=lambda key, window: dataset_ops.Dataset.from_tensors(
              key
          ),
          window_size=4,
      )
      dataset = dataset.map(lambda x: x + 1, num_parallel_calls=-1)
      get_next = self.getNext(dataset)
      self.evaluate(get_next())
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.core.lib.core import error_codes_pb2
  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.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 ops
  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.platform import test
label_desc: Use image node_id 12 for calling the GroupByWindowTest obj's underlying member method code with example usage: obj.testGroupByWindowWithAutotune() without return types