code: def testWindowDatasetInvalid(self, count, size, shift, stride):
      with self.assertRaises(errors.InvalidArgumentError):
          ds = (
              dataset_ops.Dataset.range(10)
              .map(lambda x: x)
              .repeat(count)
              .window(size=size, shift=shift, stride=stride)
              .flat_map(lambda x: x.batch(batch_size=size))
          )
          self.evaluate(ds._variant_tensor)
  
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 2 for calling the WindowTest obj's underlying member method code with example usage: obj.testWindowDatasetInvalid(count, size, shift, stride) without return types