code: def testGroupByWindowCardinality(self):
      dataset = (
          dataset_ops.Dataset.range(1)
          .repeat()
          .group_by_window(
              key_func=lambda x: x % 2,
              reduce_func=lambda key, window: dataset_ops.Dataset.from_tensors(
                  key
              ),
              window_size=4,
          )
      )
      self.assertEqual(
          self.evaluate(dataset.cardinality()), dataset_ops.INFINITE
      )
  
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 13 for calling the GroupByWindowTest obj's underlying member method code with example usage: obj.testGroupByWindowCardinality() without return types