code: def _write_log(
      self, iteration: int, data: Any, result: List[Dict[str, Any]]
  ):
      with open(self._log_path, "a", encoding="utf-8") as fp:
          fp.write("=" * 20)
          fp.write("\nloss spike at {}\n".format(iteration))
          fp.write(
              "{}\n".format(
                  json.dumps(result, indent=4, ensure_ascii=False)
              )
          )
          fp.write("data: \n")
          for d in data:
              fp.write(
                  "{}\n".format(
                      json.dumps(d, indent=4, ensure_ascii=False)
                  )
              )
          fp.write("\n\n")
  
imports: import json
  import time
  from typing import Any, Dict, List, Union
  import torch
  import bmtrain
  import os
  from cpm_live.arguments import get_args
  from cpm_live.models import CPMBee, CPMBeeConfig
  from cpm_live.tokenizers import CPMBeeTokenizer
  from cpm_live.utils import allgather_objects, LogManager
  from cpm_live.training_tasks.bee import MixedDataset
label_desc: Use image node_id 4 for calling the LossSpikeDetector obj's underlying member method code with example usage: obj._write_log(iteration, data, result) without return types