code: def requires_knn(self):
      return [
          "precision_at_1",
          "mean_average_precision",
          "mean_average_precision_at_r",
          "r_precision",
      ]
  
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 5 for calling the AccuracyCalculator obj's underlying member method code with example usage: obj.requires_knn() and returns: list