code: def tokenize_normalize(file, wfile, processor):
      rptr = open(file)
      wptr = open(wfile, "w")
      logging.info(f"Processing {file}")
      for line in rptr:
          txt = line.strip()
          if processor is not None:
              txt = processor.normalize(txt)
              txt = processor.tokenize(txt)
          wptr.write(txt + "\n")
      logging.info(f"Output written to {file}")
      rptr.close()
      wptr.close()
  
imports: import logging
  from argparse import ArgumentParser
  from nemo.collections.nlp.models.machine_translation.mt_enc_dec_model import MTEncDecModel
label_desc: Use image node_id 1 for calling a global function with example usage: tokenize_normalize(file, wfile, processor) without return types