code: def testMapSparseTensor(self):
      with self.cached_session():
          st = sparse_tensor.SparseTensor(
              indices=[[0, 0], [0, 1], [1, 0]],
              values=constant_op.constant([0, 1, 2]),
              dense_shape=[2, 2],
          )
          result = map_fn.map_fn(lambda x: x, st)
          self.assertAllEqual(result.indices, st.indices)
          self.assertAllEqual(result.values, st.values)
          self.assertAllEqual(result.dense_shape, st.dense_shape)
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  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 test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  import tensorflow.python.ops.tensor_array_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the MapFnTest obj's underlying member method code with example usage: obj.testMapSparseTensor() without return types