code: def testInvalidSparseInput(self):
      with self.assertRaisesRegex(
          (ValueError, errors.InvalidArgumentError),
          "Number of elements .* do not match",
      ):
          self.evaluate(
              gen_sparse_ops.sparse_reorder(
                  input_indices=[[0, 0, 0]],
                  input_values=[0, 1, 2],
                  input_shape=[3, 3],
              )
          )
  
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 11 for calling the SparseReorderTest obj's underlying member method code with example usage: obj.testInvalidSparseInput() without return types