code: def testSerializeManyDeserialize(self, input_fn):
      test_case = input_fn()
      classes = sparse.get_classes(test_case)
      shapes = nest.map_structure(
          lambda _: tensor_shape.TensorShape(None), classes
      )
      types = nest.map_structure(lambda _: dtypes.int32, classes)
      actual = sparse.deserialize_sparse_tensors(
          sparse.serialize_many_sparse_tensors(test_case),
          types,
          shapes,
          sparse.get_classes(test_case),
      )
      nest.assert_same_structure(test_case, actual)
      for a, e in zip(nest.flatten(actual), nest.flatten(test_case)):
          self.assertSparseValuesEqual(a, e)
  
imports: import functools
  from absl.testing import parameterized
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.util import nest
  from tensorflow.python.data.util import sparse
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the SparseTest obj's underlying member method code with example usage: obj.testSerializeManyDeserialize(input_fn) without return types