code: def test_ragged_input_different_shape_fails(self):
      x = ragged_factory_ops.constant([[6, 1, 2], [14], [10, 1, 5, 3]])
      weights = ragged_factory_ops.constant(
          [[6, 0.5, 2], [], [10, 0.25, 5, 3]]
      )
      with self.assertRaisesRegex(
          errors.InvalidArgumentError, "must have the same row splits"
      ):
          self.evaluate(
              sparse_ops.sparse_bincount(x, weights=weights, axis=-1)
          )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import config
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import bincount_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the TestSparseCountFailureModes obj's underlying member method code with example usage: obj.test_ragged_input_different_shape_fails() without return types