code: def _convert_train(in_path: str, out_path: str):
      with open(in_path) as f, open(out_path, "w") as f_o:
          for s in f:
              ss = s.strip()
              if ss.startswith("<"):
                  continue
              f_o.write(ss.strip() + "\n")
  
imports: import argparse
  import os
  import os.path
  from collections import namedtuple
  from multiprocessing import cpu_count
  from typing import List, Optional
  import sentencepiece
  from fairseq.data.encoders.byte_bpe import ByteBPE
  from fairseq.data.encoders.byte_utils import byte_encode
  from fairseq.data.encoders.bytes import Bytes
  from fairseq.data.encoders.characters import Characters
  from fairseq.data.encoders.moses_tokenizer import MosesTokenizer
  from fairseq.data.encoders.sentencepiece_bpe import SentencepieceBPE
label_desc: Use image node_id 2 for calling a global function with example usage: _convert_train(in_path, out_path) without return types