code: def setup_for_test(cls):
      # First setup the temp train, dev, test files and then call the ctor.
      cls.tmp_dir = tf.test.get_temp_dir()
      shutil.rmtree(cls.tmp_dir)
      os.mkdir(cls.tmp_dir)
  
      # Write 25 train files, 5 dev files, 11 test files.
      train_pattern = os.path.join(cls.tmp_dir, "train-%05d-of-00025")
      dev_pattern = os.path.join(cls.tmp_dir, "dev-%05d-of-00005")
      test_pattern = os.path.join(cls.tmp_dir, "test-%05d-of-00011")
      cls.train_files, cls.dev_files, cls.test_files = [], [], []
      for i in range(25):
          cls.train_files.append(train_pattern % i)
          with tf.gfile.Open(cls.train_files[-1], "w") as f:
              f.write("train_%d\n" % i)
      for i in range(5):
          cls.dev_files.append(dev_pattern % i)
          with tf.gfile.Open(cls.dev_files[-1], "w") as f:
              f.write("dev_%d\n" % i)
      for i in range(11):
          cls.test_files.append(test_pattern % i)
          with tf.gfile.Open(cls.test_files[-1], "w") as f:
              f.write("test_%d\n" % i)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import shutil
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import text_problems
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 6 for calling the FakeDistributedProblem obj's underlying member method code with example usage: obj.setup_for_test(cls) without return types