text: import os
  
  
  BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
  DATA_DIR = os.path.join(BASE_DIR, 'data')
  OUT_DIR = os.path.join(BASE_DIR, 'out')
  
  CHECKPOINTS_DIR = os.path.join(DATA_DIR, 'checkpoints')
  VALIDATION_DATA_DIR = os.path.join(DATA_DIR, 'tfrecords')
  image_test_dir = os.path.join(DATA_DIR, 'tfrecords')
  
  RUNS_DIR = os.path.join(OUT_DIR, 'runs')
  ATTACKED_OUT_DIR = os.path.join(OUT_DIR, 'attacked')
  PREPROCESSED_OUT_DIR = os.path.join(OUT_DIR, 'preprocessed')
  
  ATTACKED_TFRECORD_FILENAME = 'attacked.tfrecord'
  PREPROCESSED_TFRECORD_FILENAME = 'preprocessed.tfrecord'
  ACCURACY_NPZ_FILENAME = 'accuracy.npz'
  TOP5_ACCURACY_NPZ_FILENAME = 'top5_accuracy.npz'
  NORMALIZED_L2_DISTANCE_NPZ_FILENAME = 'normalized_l2_distance.npz'
  
  NUM_SAMPLES_VALIDATIONSET = 50000
  RESNET_IMAGE_SIZE = 256
  
  if __name__ == '__main__':
      print('BASE_DIR: ', BASE_DIR)
      print('DATA_DIR: ', DATA_DIR)
      print('OUT_DIR: ', OUT_DIR)
      print('CHECKPOINTS_DIR: ', CHECKPOINTS_DIR)
      print('VALIDATION_DATA_DIR: ', VALIDATION_DATA_DIR)
      print('RUNS_DIR: ', RUNS_DIR)
      print('ATTACKED_OUT_DIR: ', ATTACKED_OUT_DIR)
      print('PREPROCESSED_OUT_DIR: ', PREPROCESSED_OUT_DIR)
      print('ATTACKED_TFRECORD_FILENAME: ', ATTACKED_TFRECORD_FILENAME)
      print('PREPROCESSED_TFRECORD_FILENAME: ', PREPROCESSED_TFRECORD_FILENAME)
      print('ACCURACY_NPZ_FILENAME: ', ACCURACY_NPZ_FILENAME)
      print('NORMALIZED_L2_DISTANCE_NPZ_FILENAME: ', NORMALIZED_L2_DISTANCE_NPZ_FILENAME)
      print('NUM_SAMPLES_VALIDATIONSET: ', NUM_SAMPLES_VALIDATIONSET)
      print('RESNET_IMAGE_SIZE: ', RESNET_IMAGE_SIZE)
      
  