code: def _data_generating_no_history_expanding(
      input_file, train_file, valid_file, test_file, min_sequence=1
  ):
      """Produce train, valid and test file from processed_output file
      Each user's behavior sequence will only produce one line in train file.
      Like, user's behavior sequence: 12345, and this function will write into train file: 12345
      """
      f_input = open(input_file, "r")
      f_train = open(train_file, "w")
      f_valid = open(valid_file, "w")
      f_test = open(test_file, "w")
      logger.info("data generating...")
  
      last_user_id = None
      last_movie_id = None
      last_category = None
      last_datetime = None
      last_tfile = None
      for line in f_input:
          line_split = line.strip().split("\t")
          tfile = line_split[0]
          label = int(line_split[1])
          user_id = line_split[2]
          movie_id = line_split[3]
          date_time = line_split[4]
          category = line_split[5]
  
          if last_tfile == "train":
              fo = f_train
          elif last_tfile == "valid":
              fo = f_valid
          elif last_tfile == "test":
              fo = f_test
          if (
              user_id != last_user_id
              or tfile == "valid"
              or tfile == "test"
          ):
              if last_user_id is not None:
                  history_clk_num = len(
                      movie_id_list  # noqa: F821 undefined name 'movie_id_list'
                  )
                  cat_str = ""
                  mid_str = ""
                  dt_str = ""
                  for c1 in cate_list[
                      :-1
                  ]:  # noqa: F821 undefined name 'cate_list'
                      cat_str += c1 + ","
                  for (
                      mid
                  ) in movie_id_list[  # noqa: F821 undefined name 'movie_id_list'
                      :-1
                  ]:
                      mid_str += mid + ","
                  for dt_time in dt_list[
                      :-1
                  ]:  # noqa: F821 undefined name 'dt_list'
                      dt_str += dt_time + ","
                  if len(cat_str) > 0:
                      cat_str = cat_str[:-1]
                  if len(mid_str) > 0:
                      mid_str = mid_str[:-1]
                  if len(dt_str) > 0:
                      dt_str = dt_str[:-1]
                  if history_clk_num > min_sequence:
                      fo.write(
                          line_split[1]
                          + "\t"
                          + last_user_id
                          + "\t"
                          + last_movie_id
                          + "\t"
                          + last_category
                          + "\t"
                          + last_datetime
                          + "\t"
                          + mid_str
                          + "\t"
                          + cat_str
                          + "\t"
                          + dt_str
                          + "\n"
                      )
              if tfile == "train" or last_user_id is None:
                  movie_id_list = []
                  cate_list = []
                  dt_list = []
          last_user_id = user_id
          last_movie_id = movie_id
          last_category = category
          last_datetime = date_time
          last_tfile = tfile
          if label:
              movie_id_list.append(movie_id)
              cate_list.append(category)
              dt_list.append(date_time)
  
imports: import os
  import shutil
  import pandas
  import gzip
  import random
  import logging
  import _pickle
  from recommenders.utils.constants import SEED
  from recommenders.datasets.download_utils import maybe_download
label_desc: Use image node_id 6 for calling a global function with example usage: _data_generating_no_history_expanding(input_file, train_file, valid_file, test_file, min_sequence) without return types