code: def testDropRemainderOutput(self):
      dataset = dataset_ops.Dataset.range(100)
      dataset = dataset.window(30, drop_remainder=True)
      dataset = dataset.flat_map(lambda x: x.batch(30))
      dataset = dataset.batch(4)
  
      self.assertDatasetProduces(
          dataset,
          expected_output=[
              [[y + 30 * x for y in range(30)] for x in range(3)]
          ],
      )
  
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 10 for calling the WindowTest obj's underlying member method code with example usage: obj.testDropRemainderOutput() without return types