code: def get_best(self, n):
      combined = [
          (self.members[i], self.scores[i])
          for i in range(len(self.members))
      ]
      sorted(combined, key=(lambda x: x[1]), reverse=True)
      return [x[0] for x in combined[:n]]
  
imports: from __future__ import print_function
  import random
  import csv
  import operator
  import gc
  import os
  from datetime import datetime
  from keras.callbacks import EarlyStopping
  from keras.models import load_model
  import keras.backend
  from sklearn.metrics import log_loss
  import numpy
label_desc: Use image node_id 3 for calling the _Population obj's underlying member method code with example usage: obj.get_best(n) and returns: unknown