code: def get_battle_result(
      sys_prompt: str, user_prompt: str, id: int, max_tokens: int = 2048
  ) -> Dict[str, Any]:
      """
      Get battle evaluation from GPT-4.
  
      Args:
          sys_prompt: prompt for the system.
          user_prompt: prompt for the user.
          id: id of the answers for comparison.
          max_tokens: the maximum number of tokens to generate in the chat completion.
  
      Returns:
          An evaluation of one comparison.
      """
  
      MAX_API_RETRY = 3
      for _ in range(MAX_API_RETRY):
          try:
              response = openai.ChatCompletion.create(
                  model="gpt-4",
                  messages=[
                      {"role": "system", "content": sys_prompt},
                      {
                          "role": "user",
                          "content": user_prompt,
                      },
                  ],
                  temperature=0.2,
                  max_tokens=max_tokens,
              )
              evaluation = response["choices"][0]["message"]["content"]
              return {"evaluation": evaluation, "id": id}
          except Exception as e:
              print(e)
              time.sleep(1)
      print(f"Evaluation {id} failed after {MAX_API_RETRY} retries.")
      return {"evaluation": "", "id": id}
  
imports: import concurrent.futures
  import os
  import re
  import time
  from copy import deepcopy
  from typing import Any, Dict, List
  import matplotlib.pyplot
  import numpy
  import openai
  import pandas
  import seaborn
  import tqdm
  from colossal_eval.utils import jdump, jload
label_desc: Use image node_id 1 for calling a global function with example usage: get_battle_result(sys_prompt, user_prompt, id, max_tokens) and returns: dict, dict