code: def _meta_preprocessing(meta_readfile):
      logger.info("start meta preprocessing...")
      meta_writefile = meta_readfile + "_output"
      meta_r = open(meta_readfile, "r")
      meta_w = open(meta_writefile, "w")
      for line in meta_r:
          line_new = eval(line)
          meta_w.write(
              line_new["asin"]
              + "\t"
              + line_new["categories"][0][-1]
              + "\n"
          )
      meta_r.close()
      meta_w.close()
      return meta_writefile
  
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 9 for calling a global function with example usage: _meta_preprocessing(meta_readfile) and returns: meta_writefile