code: def generate_samples(
      self, data_dir, tmp_dir, dataset_split, input_files
  ):
      # Read all lines from all the input_files and return the same word as input
      # and target.
      for input_file in input_files:
          with tf.gfile.Open(input_file, "r") as f:
              for line in f.read().strip().split("\n"):
                  yield {
                      "inputs": line.strip(),
                      "targets": line.strip(),
                  }
  
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 2 for calling the FakeDistributedProblem obj's underlying member method code with example usage: obj.generate_samples(data_dir, tmp_dir, dataset_split, input_files) without return types