code: def testSparseValuesAndIndicesMustMatch(self):
      with self.assertRaisesRegex(
          (ValueError, errors.InvalidArgumentError),
          "sparse indices and values must have the same length",
      ):
          self.evaluate(
              gen_ragged_array_ops.RaggedCross(
                  ragged_values=[],
                  ragged_row_splits=[],
                  sparse_indices=[[5]],
                  sparse_values=[],
                  sparse_shape=[5],
                  dense_inputs=[["a"]],
                  input_order="RD",
                  hashed_output=False,
                  num_buckets=5,
                  hash_key=2,
                  out_values_type=dtypes.string,
                  out_row_splits_type=dtypes.int64,
              )
          )
  
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 ops
  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_ragged_array_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_array_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 6 for calling the RaggedCrossOpTest obj's underlying member method code with example usage: obj.testSparseValuesAndIndicesMustMatch() without return types