code: def test_check_sparse_tensor_unordered(self) -> None:
      # index values are not in sorted order
      sparse = self.make_sparse([100], [13, 17, 19], [3], [27, 9, 81])
      self.assertRaises(
          checker.ValidationError, checker.check_sparse_tensor, sparse
      )
  
imports: import os
  import tempfile
  import unittest
  from typing import Sequence
  import numpy
  import onnx.defs
  import onnx.parser
  from onnx import GraphProto, SparseTensorProto, TensorProto, checker, helper, numpy_helper, shape_inference
label_desc: Use image node_id 29 for calling the TestChecker obj's underlying member method code with example usage: obj.test_check_sparse_tensor_unordered() without return types