code: def read_clickhistory(path, filename):
      """Read click history file
  
      Args:
          path (str): Folder path
          filename (str): Filename
  
      Returns:
          list, dict:
          - A list of user session with user_id, clicks, positive and negative interactions.
          - A dictionary with user_id click history.
      """
      userid_history = {}
      with open(os.path.join(path, filename)) as f:
          lines = f.readlines()
      sessions = []
      for i in range(len(lines)):
          _, userid, imp_time, click, imps = (
              lines[i].strip().split("\t")
          )
          clicks = click.split(" ")
          pos = []
          neg = []
          imps = imps.split(" ")
          for imp in imps:
              if imp.split("-")[1] == "1":
                  pos.append(imp.split("-")[0])
              else:
                  neg.append(imp.split("-")[0])
          userid_history[userid] = clicks
          sessions.append([userid, clicks, pos, neg])
      return sessions, userid_history
  
imports: import os
  import random
  import logging
  import json
  import numpy
  import re
  from tqdm import tqdm
  from nltk.tokenize import RegexpTokenizer
  from recommenders.datasets.download_utils import maybe_download, download_path, unzip_file
label_desc: Use image node_id 3 for calling a global function with example usage: read_clickhistory(path, filename) and returns: sessions,  userid_history