code: def generate_llama2_few_shot_prompt(self, subject, dev_df, cot=False):
      prompt = f"以下是中国关于{subject}考试的单项选择题，请选出其中的正确答案。\n\n"
      k = self.k
      if self.k == -1:
          k = dev_df.shape[0]
      for i in range(k):
          prompt += self.format_example(
              dev_df.iloc[i, :], include_answer=True, cot=cot
          )
      return prompt
  
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 4 for calling the LlamaEvaluator obj's underlying member method code with example usage: obj.generate_llama2_few_shot_prompt(subject, dev_df, cot) and returns: prompt