code: def clean(self):
      # create a new dict for each action
      self.dicts = []
      for a in range(self.num_actions):
          new_dict = AnnoyDictionary(
              self.dict_size,
              self.key_width,
              self.new_value_shift_coefficient,
              key_error_threshold=self.key_error_threshold,
              num_neighbors=self.num_neighbors,
          )
          self.dicts.append(new_dict)
  
imports: import os
  import pickle
  import numpy
label_desc: Use image node_id 7 for calling the QDND obj's underlying member method code with example usage: obj.clean() without return types