code: def testOptions(self):
      dataset = dataset_ops.Dataset.range(5)
      dataset = dataset.apply(testing.assert_next(["MapAndBatch"]))
      dataset = dataset.map(lambda x: x * 2).batch(5)
      self.evaluate(dataset.reduce(0, lambda state, value: state))
  
imports: import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import testing
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import def_function
  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_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 14 for calling the ReduceTest obj's underlying member method code with example usage: obj.testOptions() without return types