code: def _make_r_io_base(f, mode: str):
      if not isinstance(f, io.IOBase):
          f = open(f, mode=mode)
      return f
  
imports: import io
  import os
  import copy
  import json
  import math
  import logging
  from dataclasses import dataclass, field
  from typing import Dict, Optional, Sequence
  import torch
  import transformers
  from torch.utils.data import Dataset
  from transformers import Trainer, DataCollatorForLanguageModeling
  from llama_attn_replace_sft import replace_llama_attn
  from gptneox_attn_replace import replace_gpt_neox_attn
  from peft import LoraConfig, get_peft_model
  from torch.distributed import barrier
label_desc: Use image node_id 1 for calling a global function with example usage: _make_r_io_base(f, mode) and returns: f