code: def _get_best_indexes(logits, n_best_size):
      """Get the n-best logits from a list."""
      index_and_score = sorted(
          enumerate(logits), key=lambda x: x[1], reverse=True
      )
  
      best_indexes = []
      for i in range(len(index_and_score)):
          if i >= n_best_size:
              break
          best_indexes.append(index_and_score[i][0])
      return best_indexes
  
imports: import collections
  import math
  import re
  import string
  from dataclasses import dataclass
  from typing import List, Dict
  from transformers.models.bert.tokenization_bert import BasicTokenizer
  from jiant.utils.display import maybe_tqdm
label_desc: Use image node_id 5 for calling a global function with example usage: _get_best_indexes(logits, n_best_size) and returns: best_indexes