old_contents: # Copyright 2016 Google Inc.
  #
  # 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.
  # ==============================================================================
  """Builds a vocabulary for a given text file. """
  
  import tensorflow as tf
  
  from lambada import reader
  
  flags = tf.flags
  flags.DEFINE_string("text", None, "Text file to process")
  flags.DEFINE_integer("top_k", None, "Top k words to keep")
  flags.DEFINE_string("vocab", None, "Destination for the created vocabulary")
  
  FLAGS = flags.FLAGS
  
  
  def main(unused_argv):
    vocab = reader.Vocabulary.build(FLAGS.text, FLAGS.top_k)
    vocab.save(FLAGS.vocab)
  
  
  if __name__ == '__main__':
    tf.app.run()
  
new_contents: # Copyright 2016 Google Inc.
  #
  # 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.
  # ==============================================================================
  """Builds a vocabulary for a given text file. """
  
  import tensorflow as tf
  
  from lambada_lm import reader
  
  flags = tf.flags
  flags.DEFINE_string("text", None, "Text file to process")
  flags.DEFINE_integer("top_k", None, "Top k words to keep")
  flags.DEFINE_string("vocab", None, "Destination for the created vocabulary")
  
  FLAGS = flags.FLAGS
  
  
  def main(unused_argv):
    vocab = reader.Vocabulary.build(FLAGS.text, FLAGS.top_k)
    vocab.save(FLAGS.vocab)
  
  
  if __name__ == '__main__':
    tf.app.run()
  
subject: Fix import in build_vocab.py