code: def read_file(path):
      with open(path, "r") as f:
          content = f.readlines()
      ret = []
      for line in content:
          if line.strip() == "":
              continue
          if line.split()[-1] != "</t>":
              line += " . </t>"
          sents = re.findall("<t>(.*?)</t>", line, flags=re.S | re.M)
          sen = [sent.strip() for sent in sents]
          ret.append(sen)
      return ret
  
file_path: graph4nlp/graph4nlp/pytorch/modules/evaluation/rouge_summarization.py
imports: import os
  import re
  import shutil
  from graph4nlp.pytorch.modules.evaluation.base import EvaluationMetricBase
  import pyrouge
label_desc: Use image node_id 1 for calling a global function with example usage: read_file(path) and returns: ret