text: import os
  from os.path import join
  
  import deepdata
  
  __all__ = []
  
  BASE_PATH = os.environ.get('DEEPDATA_MIRROR', 'http://pytorch_mirror.killf.info')
  
  DATA_PATH = join(BASE_PATH, 'torchvision', 'mnist')
  deepdata.mnist.MNIST.resources = [
      (join(DATA_PATH, 'train-images-idx3-ubyte.gz'), "f68b3c2dcbeaaa9fbdd348bbdeb94873"),
      (join(DATA_PATH, 'train-labels-idx1-ubyte.gz'), "d53e105ee54ea40749a09fcbcd1e9432"),
      (join(DATA_PATH, 't10k-images-idx3-ubyte.gz'), "9fb629c4189551a2d022fa330f9573f3"),
      (join(DATA_PATH, 't10k-labels-idx1-ubyte.gz'), "ec29112dd5afa0611ce80d1b7f02629c")
  ]
  
  DATA_PATH = join(BASE_PATH, 'torchvision', 'fashion-mnist')
  deepdata.mnist.FashionMNIST.resources = [
      (join(DATA_PATH, 'train-images-idx3-ubyte.gz'), '8d4fb7e6c68d591d4c3dfef9ec88bf0d'),
      (join(DATA_PATH, 'train-labels-idx1-ubyte.gz'), '25c81989df183df01b3e8a0aad5dffbe'),
      (join(DATA_PATH, 't10k-images-idx3-ubyte.gz'), 'bef4ecab320f06d8554ea6380940ec79'),
      (join(DATA_PATH, 't10k-labels-idx1-ubyte.gz'), 'bb300cfdad3c16e7a12a480ee83cd310')
  ]
  
  DATA_PATH = join(BASE_PATH, 'torchvision', 'kmnist')
  deepdata.mnist.KMNIST.resources = [
      (join(DATA_PATH, 'train-images-idx3-ubyte.gz'), 'bdb82020997e1d708af4cf47b453dcf7'),
      (join(DATA_PATH, 'train-labels-idx1-ubyte.gz'), 'e144d726b3acfaa3e44228e80efcd344'),
      (join(DATA_PATH, 't10k-images-idx3-ubyte.gz'), '5c965bf0a639b31b8f53240b1b52f4d7'),
      (join(DATA_PATH, 't10k-labels-idx1-ubyte.gz'), '7320c461ea6c1c855c0b718fb2a4b134')
  ]
  
  DATA_PATH = join(BASE_PATH, 'torchvision', 'emnist')
  deepdata.mnist.EMNIST.resources = [
      (join(DATA_PATH, 'train-images-idx3-ubyte.gz'), 'f68b3c2dcbeaaa9fbdd348bbdeb94873'),
      (join(DATA_PATH, 'train-labels-idx1-ubyte.gz'), 'd53e105ee54ea40749a09fcbcd1e9432'),
      (join(DATA_PATH, 't10k-images-idx3-ubyte.gz'), '9fb629c4189551a2d022fa330f9573f3'),
      (join(DATA_PATH, 't10k-labels-idx1-ubyte.gz'), 'ec29112dd5afa0611ce80d1b7f02629c')
  ]
  
  DATA_PATH = join(BASE_PATH, 'torchvision', 'qmnist')
  deepdata.mnist.QMNIST.resources = {
      'train': [(join(DATA_PATH, 'qmnist-train-images-idx3-ubyte.gz'), 'ed72d4157d28c017586c42bc6afe6370'),
                (join(DATA_PATH, 'qmnist-train-labels-idx2-int.gz'), '0058f8dd561b90ffdd0f734c6a30e5e4')],
      'test': [(join(DATA_PATH, 'qmnist-test-images-idx3-ubyte.gz'), '1394631089c404de565df7b7aeaf9412'),
               (join(DATA_PATH, 'qmnist-test-labels-idx2-int.gz'), '5b5b05890a5e13444e108efe57b788aa')],
      'nist': [(join(DATA_PATH, 'xnist-images-idx3-ubyte.xz'), '7f124b3b8ab81486c9d8c2749c17f834'),
               (join(DATA_PATH, 'xnist-labels-idx2-int.xz'), '5ed0e788978e45d4a8bd4b7caec3d79d')]
  }
  
  DATA_PATH = join(BASE_PATH, 'torchvision', 'cifar')
  deepdata.cifar.CIFAR10.url = join(DATA_PATH, 'cifar-10-python.tar.gz')
  deepdata.cifar.CIFAR100.url = join(DATA_PATH, 'cifar-100-python.tar.gz')
  