code: def read_lines(path):
      lines = []
      with open(path, "r") as f:
          for line in f:
              line = line.strip()
              if len(line) > 0:
                  lines.append(line)
      return lines
  
imports: import logging
  import os
  import sys
  from dataclasses import dataclass, field
  from typing import List, Optional
  import torch
  from datasets import Dataset
  from torch import nn
  from tqdm.auto import tqdm
  from transformers import AutoModelForSequenceClassification, AutoTokenizer, HfArgumentParser, Trainer, TrainingArguments, set_seed, utils
  from transformers.trainer_utils import get_last_checkpoint, is_main_process
label_desc: Use image node_id 1 for calling a global function with example usage: read_lines(path) and returns: lines