text: # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  
  """Downloads and extracts the binary version of the CIFAR-10 dataset."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import argparse
  import os
  import sys
  import tarfile
  
  from six.moves import urllib
  import tensorflow as tf
  
  DATA_URL = 'https://www.cs.toronto.edu/~kriz/cifar-10-binary.tar.gz'
  
  parser = argparse.ArgumentParser()
  
  parser.add_argument(
      '--data_dir', type=str, default='/tmp/cifar10_data',
      help='Directory to download data and extract the tarball')
  
  
  def main(_):
      """Download and extract the tarball from Alex's website."""
      if not os.path.exists(FLAGS.data_dir):
          os.makedirs(FLAGS.data_dir)
  
      filename = DATA_URL.split('/')[-1]
      filepath = os.path.join(FLAGS.data_dir, filename)
  
      if not os.path.exists(filepath):
          def _progress(count, block_size, total_size):
              sys.stdout.write('\r>> Downloading %s %.1f%%' % (
                  filename, 100.0 * count * block_size / total_size))
              sys.stdout.flush()
  
          filepath, _ = urllib.request.urlretrieve(DATA_URL, filepath, _progress)
          print()
          statinfo = os.stat(filepath)
          print('Successfully downloaded', filename, statinfo.st_size, 'bytes.')
  
      tarfile.open(filepath, 'r:gz').extractall(FLAGS.data_dir)
  
  
  if __name__ == '__main__':
      FLAGS, unparsed = parser.parse_known_args()
      tf.compat.v1.app.run(argv=[sys.argv[0]] + unparsed)
  