code: def testSerialize(self):
      shape = [1, 3]
      dtype = dtypes.int32
      trainable = False
      alias_id = 1
      spec = resource_variable_ops.VariableSpec(
          shape, dtype, trainable, alias_id
      )
      serialization = spec._serialize()
      expected_serialization = (shape, dtype, trainable, alias_id)
      self.assertEqual(serialization, expected_serialization)
      rebuilt_spec = spec._deserialize(serialization)
      self.assertEqual(rebuilt_spec, spec)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import nest
label_desc: Use image node_id 9 for calling the VariableSpecTest obj's underlying member method code with example usage: obj.testSerialize() without return types