class_docstr: Similar to Cifar10
code: def __init__(self, train_or_test, shuffle=None, dir=None):
      super(Cifar100, self).__init__(train_or_test, shuffle, dir, 100)
  
imports: import numpy
  import os
  import pickle
  import tarfile
  from ...utils import logger
  from ...utils.fs import download, get_dataset_path
  from ..base import RNGDataFlow
label_desc: Use image node_id 1 to create a new Cifar100 object from inherited base classes: CifarBase with example: obj = Cifar100(train_or_test, shuffle, dir)