数据预处理之后检验的代码是什么啊？

train percentage=0.7 for files in os.walk('data/0.7/image', topdown=False); fO =files total_num-len(f0[2]) train_num=int(total_num * train percentage) val_num=int(total_num * (1-train percentage)) list=range(total_num) train_list=random. sample(list,train_num) Hval list-random sample () print("train size:",train_num) print("val size:",va1_mm) f_train=open('data/0.7/train.txt','w') f_val=open('data/0.7/va1.txt','w') for i in list: name=fo[2][i][0:-4]+’\n' if i in train_list: f_train.write(name) else: f_val.write(name) f_train.close() f_val. close()