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 json
  import math
  import re
  import string
  from ...models.bert import BasicTokenizer
  from ...utils import logging
label_desc: Use image node_id 15 for calling a global function with example usage: _get_best_indexes(logits, n_best_size) and returns: best_indexes