code: def format_example(df, idx, include_answer=True):
      prompt = df.iloc[idx, 0]
      k = df.shape[1] - 2
      for j in range(k):
          prompt += "\n{}. {}".format(choices[j], df.iloc[idx, j + 1])
      prompt += "\nAnswer:"
      if include_answer:
          prompt += " {}\n\n".format(df.iloc[idx, k + 1])
      return prompt
  
file_path: OpenNMT-py/eval_llm/MMLU/run_mmlu_opennmt.py
imports: import json
  import os
  import time
  import pandas
  from onmt.utils.logging import init_logger
  from onmt.inference_engine import InferenceEnginePY
  import onmt.opts
  from onmt.utils.parse import ArgumentParser
  from onmt.utils.misc import use_gpu, set_random_seed
label_desc: Use image node_id 3 for calling a global function with example usage: format_example(df, idx, include_answer) and returns: prompt