code: def testAlreadyInOrder(self):
      with self.session() as sess:
          input_val = self._SparseTensorValue_5x6(np.arange(6))
          sp_output = sparse_ops.sparse_reorder(input_val)
  
          output_val = self.evaluate(sp_output)
          self.assertAllEqual(output_val.indices, input_val.indices)
          self.assertAllEqual(output_val.values, input_val.values)
          self.assertAllEqual(
              output_val.dense_shape, input_val.dense_shape
          )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  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 gen_sparse_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import sparse_ops
  import tensorflow.python.ops.sparse_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the SparseReorderTest obj's underlying member method code with example usage: obj.testAlreadyInOrder() without return types