code: def __init__(self, top_k=1):
      super().__init__()
      self._top_k = top_k
      self._name = "accuracy@top{}".format(self._top_k)
      self._matches = []
  
imports: import os
  import json
  import random
  from PIL import Image
  import numpy
  from compression.api import DataLoader, Metric
  from torchvision.transforms import transforms
label_desc: Use image node_id 1 to create a new Accuracy object from inherited base classes: Metric with example: obj = Accuracy(top_k)