#start calculation for task1 iff y=1, otherwise use given prototypes
#zeros(1) is a dummy default, overwrite it!!!
#use y=0 if you want to do classification for task3
def process_calculation(y=1,iter = 3, protos = zeros(1)):
   for i in range(iter):
      for k in ks:
         if y:
            protos = kmeans(train_images,k)
         plabels = prototype_labels(protos,train_images,train_labels)
         picture_protos(protos,i,k)
         err,n = errorrate(test_images,test_labels,protos,plabels)
         print 'Errorate with k=' + str(k) + ':\t' + str(err/float(n))