code: def testDataclass(self):
      mtp = MaskedNdarrayPair(
          mask=True,
          value1=dataset_ops.Dataset.range(3),
          value2=dataset_ops.Dataset.range(3, 6),
      )
      dataset = dataset_ops.Dataset.zip(mtp)
      expected = [
          MaskedNdarrayPair(mask=True, value1=0, value2=3),
          MaskedNdarrayPair(mask=True, value1=1, value2=4),
          MaskedNdarrayPair(mask=True, value1=2, value2=5),
      ]
      self.assertDatasetProduces(dataset, expected)
  
imports: import collections
  import dataclasses
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import random_access
  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.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the ZipTest obj's underlying member method code with example usage: obj.testDataclass() without return types