code: def get_function_dict(self, include=(), exclude=()):
      if len(include) == 0:
          include = list(self.original_function_dict.keys())
      included_metrics = [k for k in include if k not in exclude]
      return {
          k: v
          for k, v in self.original_function_dict.items()
          if k in included_metrics
      }
  
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 2 for calling the AccuracyCalculator obj's underlying member method code with example usage: obj.get_function_dict(include, exclude) and returns: unknown