code: def __tf_unflatten__(self, metadata, components):
      mask = metadata[0]
      value1, value2 = components
      return MaskedNdarrayPair(mask=mask, value1=value1, value2=value2)
  
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 2 for calling the MaskedNdarrayPair obj's underlying member method code with example usage: obj.__tf_unflatten__(metadata, components) and returns: MaskedNdarrayPair