class_docstr: Processor for the DuEE data set.
class_docstr_tok: ["Processor","for","the","DuEE","data","set","."]
code: def process_dev_with_pred_trigger(self, args, raw_path, out_file):
      trigger_pred_list = json.load(
          open(args.dev_trigger_pred_file, "r")
      )
      raw_path = raw_path + "/degree"
      raw_data = open(
          os.path.join(raw_path, "dev.w1.oneie.json"), "r"
      ).readlines()
      dev_role = self.data_process(raw_data, trigger_pred_list)
      write_by_lines(os.path.join(args.data_dir, out_file), dev_role)
  
imports: from __future__ import absolute_import, division, print_function
  import json
  import logging
  import os
  import sys
  from copy import deepcopy
  from io import open
  from transformers import XLMRobertaTokenizer, BertTokenizer, RobertaTokenizer, AutoTokenizer
  from .utils_ee import read_by_lines, write_by_lines, load_dict, label_data, process_remained_pred_trigger, clear_wrong_tokens
  from torch.nn.utils.rnn import pad_sequence
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling the ACEProcessor obj's underlying member method code with example usage: obj.process_dev_with_pred_trigger(args, raw_path, out_file) without return types