text: import random
  import tensorflow as tf
  from model import SRCNN
  
  class this_config():
      def __init__(self, is_train=True):
          self.epoch = 1
          self.image_size = 32
          self.label_size = 20
          self.c_dim = 3
          self.is_train = is_train
          self.scale = 3
          self.stride = 21
          self.checkpoint_dir = "checkpoint1"
          self.learning_rate = 1e-4
          self.batch_size = 128
          self.result_dir = 'result'
          self.test_img = '' # Do not change this.
          
  arg = this_config()
  print("Hello TA!  We are group 7. Thank you for your work for us. Hope you have a happy day!")
  
  with tf.Session() as sess:
      FLAGS = arg
      srcnn = SRCNN(sess,
                    image_size = FLAGS.image_size,
                    label_size = FLAGS.label_size,
                    c_dim = FLAGS.c_dim)
      srcnn.train(FLAGS)
      
      # Testing
      files = glob.glob(os.path.join(os.getcwd(), 'train_set', 'LR0', '*.jpg'))
      test_files = random.sample(files, len(files)//5)
      
      FLAGS.is_train = False
      count = 1
      for f in test_files:
          FLAGS.test_img = f
          print('Saving ', count, '/', len(test_files), ': ', FLAGS.test_img, '\n')
          count += 1
          srcnn.test(FLAGS)