new_contents: #! /usr/bin/python
  
  import numpy as np
  import os
  from sklearn import datasets
  
  MESSAGES_DIR = "data/messages/"
  JUDGMENTS_PATH = "data/judgments/judgments.txt"
  
  def load_messages():
      messages = []
      for filename in os.listdir(MESSAGES_DIR):
          with open(MESSAGES_DIR + filename) as message_file:
              messages.append(message_file.read())
  
      return messages
  
  def tfidf(documents):
      # TODO: Stub implementation
      return [[]]
  
  def load_judgments():
      judgments = []
      with open(JUDGMENTS_PATH) as judgments_file:
          for line in judgments_file:
              judgments.append(1 if len(line.split()) > 2 else 0)
  
      return judgments
  
  def main():
      messages = load_messages()
      target = load_judgments()
      print target
      data = tfidf(messages)
  
  if __name__ == "__main__":
      main()
  
subject: Add functions to read in message data and parse targets.