class_docstr: Produce images read from a list of zip files. 
code: def __iter__(self):
      if self.shuffle:
          self.rng.shuffle(self.archivefiles)
      for archive in self.archivefiles:
          im_data = archive[0].read(archive[1])
          im_data = np.asarray(bytearray(im_data), dtype="uint8")
          yield [im_data]
  
imports: import argparse
  import numpy
  import os
  import zipfile
  import cv2
  from tensorpack import LMDBSerializer, MapDataComponent, RNGDataFlow
label_desc: Use image node_id 5 for calling the ImageDataFromZIPFile obj's underlying member method code with example usage: obj.__iter__() without return types