code: def testIncorrectReturnType(self):
      def _scan_fn(unused_state, unused_input_value):
          return constant_op.constant(1, dtype=dtypes.int64)
  
      dataset = dataset_ops.Dataset.range(10)
      with self.assertRaisesRegex(
          TypeError,
          "`scan_func` should return a pair consisting of new state and the "
          "output value.",
      ):
          dataset.scan(
              initial_state=constant_op.constant(1, dtype=dtypes.int32),
              scan_func=_scan_fn,
          )
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.data.ops import scan_op
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  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 test_ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_v2_toggles
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the ScanTest obj's underlying member method code with example usage: obj.testIncorrectReturnType() and returns: constant_op