code: def testNestedOutput(self):
      dataset = dataset_ops.Dataset.range(100)
      dataset = dataset_ops.Dataset.zip((dataset, dataset)).window(10)
      for i, nested_dataset in enumerate(dataset):
          x, y = nested_dataset
          self.assertDatasetProduces(x, range(i * 10, (i + 1) * 10))
          self.assertDatasetProduces(y, range(i * 10, (i + 1) * 10))
  
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.util import nest
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 9 for calling the WindowTest obj's underlying member method code with example usage: obj.testNestedOutput() without return types