text: import cPickle as pickle 
  import numpy as np 
  import os 
  def load_CIFAR_batch(filename): 
    with open(filename, 'rb') as f: 
      datadict = pickle.load(f) 
      X = datadict['data'] 
      Y = datadict['labels'] 
      X = X.reshape(10000, 3, 32, 32).transpose(0,2,3,1).astype("float") 
      Y = np.array(Y) 
      return X, Y 
  def load_CIFAR10(ROOT): 
    xs = [] 
    ys = [] 
    for b in range(1,6): 
      f = os.path.join(ROOT, 'data_batch_%d' % (b, )) 
      X, Y = load_CIFAR_batch(f) 
      xs.append(X) 
      ys.append(Y)    
    Xtr = np.concatenate(xs) 
    Ytr = np.concatenate(ys) 
    del X, Y 
    Xte, Yte = load_CIFAR_batch(os.path.join(ROOT, 'test_batch'))   
    return Xtr, Ytr, Xte, Yte
  