code: def testFullTypesForFlatTensors(self, dt):
      st_spec = sparse_tensor.SparseTensorSpec(dtype=dt)
      full_type_list = fulltypes_for_flat_tensors(st_spec)
      expect = [
          full_type_pb2.FullTypeDef(type_id=full_type_pb2.TFT_UNSET)
      ]
      self.assertEqual(
          len(st_spec._flat_tensor_specs), len(full_type_list)
      )
      self.assertEqual(expect, full_type_list)
  
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 10 for calling the SparseTensorSpecTest obj's underlying member method code with example usage: obj.testFullTypesForFlatTensors(dt) without return types