def __getitem__(self,index):
        start = self.batch_size*index
        end   = min(start + self.batch_size,len(self.match) + len(self.unmatch))
        size  = end - start
        assert size > 0
        a     = np.zeros((size,) + img_shape,dtype=K.floatx())
        b     = np.zeros((size,dtype=K.floatx())
        c     = np.zeros((size,1),dtype=K.floatx())
        j     = start//2
        for i in range(0,size,2):
            a[i,:,:] = read_for_training(self.match[j][0])
            b[i,:] = read_for_training(self.match[j][1])
            c[i,0    ] = 1 # This is a match
            a[i+1,:] = read_for_training(self.unmatch[j][0])
            b[i+1,:] = read_for_training(self.unmatch[j][1])
            c[i+1,0    ] = 0 # Different whales
            j           += 1
        return [a,b],c

这是Kaggle内核的一部分。此函数是kernel.util.sequence的一部分。我不太了解...有人可以给我一些提示吗？