code: def testNoShufflePreprocess(self):
      problem = algorithmic.TinyAlgo()
      dataset1 = problem.dataset(
          mode=tf_estimator.ModeKeys.TRAIN,
          data_dir=algorithmic.TinyAlgo.data_dir,
          shuffle_files=False,
          preprocess=False,
      )
      dataset2 = problem.dataset(
          mode=tf_estimator.ModeKeys.TRAIN,
          data_dir=algorithmic.TinyAlgo.data_dir,
          shuffle_files=False,
          preprocess=True,
      )
  
      tensor1 = dataset1.make_one_shot_iterator().get_next()["targets"]
      tensor2 = dataset2.make_one_shot_iterator().get_next()["targets"]
  
      with tf.Session() as sess:
          self.assertTrue(
              assert_tensors_equal(sess, tensor1, tensor2, 20)
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  from tensor2tensor.data_generators import algorithmic
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import problem_hparams
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import hparam
  from tensor2tensor.utils import test_utils
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 3 for calling the ProblemTest obj's underlying member method code with example usage: obj.testNoShufflePreprocess() without return types