code: def _get_accuracy(self, function_dict, **kwargs):
      return {k: v(**kwargs) for k, v in function_dict.items()}
  
imports: import torch
  from sklearn.metrics import adjusted_mutual_info_score, normalized_mutual_info_score
  from .None import common_functions
  from .inference import FaissKMeans, FaissKNN
label_desc: Use image node_id 15 for calling the AccuracyCalculator obj's underlying member method code with example usage: obj._get_accuracy(function_dict) and returns: unknown