code: def testSerialize(self, st_spec, expected):
      serialization = st_spec._serialize()
      # TensorShape has an unconventional definition of equality, so we can't use
      # assertEqual directly here.  But repr() is deterministic and lossless for
      # the expected values, so we can use that instead.
      self.assertEqual(repr(serialization), repr(expected))
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.core.framework import full_type_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.type_utils import fulltypes_for_flat_tensors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 4 for calling the SparseTensorSpecTest obj's underlying member method code with example usage: obj.testSerialize(st_spec, expected) without return types