code: def format_example(
      self, line, include_answer=True, cot=False, with_prompt=False
  ):
      example = line["question"]
      for choice in self.choices:
          example += f'\n{choice}. {line[f"{choice}"]}'
      if include_answer:
          if cot:
              example += (
                  "\n答案：让我们一步一步思考，\n"
                  + line["explanation"]
                  + f"\n所以答案是{line['answer']}。\n\n"
              )
          else:
              example += "\n答案：" + line["answer"] + "\n\n"
      else:
          if with_prompt is False:
              if cot:
                  example += "\n答案：让我们一步一步思考，\n1."
              else:
                  example += "\n答案："
          else:
              if cot:
                  example += "\n答案是什么？让我们一步一步思考，\n1."
              else:
                  example += "\n答案："
      return example
  
file_path: BigDL/python/llm/dev/benchmark/ceval/evaluators/llama.py
imports: import re
  import random
  from tqdm import tqdm
  import numpy
  import torch
  from transformers import LlamaTokenizer, GenerationConfig
  from bigdl.llm.transformers import AutoModelForCausalLM
  from evaluators.evaluator import Evaluator
label_desc: Use image node_id 3 for calling the LlamaEvaluator obj's underlying member method code with example usage: obj.format_example(line, include_answer, cot, with_prompt) and returns: example