code: def load_user_behaviors(
      user_behavior_file, train_triples, user_behavior_keys=None
  ):
      with open(user_behavior_file, "r") as rd:
          while True:
              line = rd.readline()
              if not line:
                  break
              words = line.strip().split(" ")
              if (
                  user_behavior_keys
                  and not words[0] in user_behavior_keys
              ):
                  continue
              userid = words[0].split("_")[0]
              items = words[1].split(",")
              for item in items:
                  train_triples.append((userid, item, "1"))
  
imports: import codecs
  import pickle
  import time
  import os
  from datetime import datetime
  import random
  import numpy
  import math
  from multiprocessing import Process
  from utils.general import *
  from utils.data_helper import *
label_desc: Use image node_id 27 for calling a global function with example usage: load_user_behaviors(user_behavior_file, train_triples, user_behavior_keys) without return types