做好了
1
看看
hhhh
为什么我windows运行出来是102行啊，没有抄错啊
1
.
目前你共写了0行代码！
Esata 发表于 2024-1-11 22:09
目前你共写了0行代码！
为什么我的是零行QAQ
0.因为计算机只能看懂0和1 1.机器语言2.编译3.要不要解释器4. 可以5. 不改动或稍加修改6.查表
测试题
0.0
和
二进制0和1
机器语言
编译
一步步完成 随时编写随时转化
能
字节码用解释器解释
通过 查表进行破解翻译
查表
亲们趁敌人吃饭时发动进攻
不懂唉
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0.计算机只能以二进制运行
1.机器语言
2.翻译
3.编译型：依靠环境，需要用工具翻译；解释型：直接转换为机器语言
4.不可以
5.机器语言都用二进制
6.一个体系的语言
7.亲们趁敌人吃饭时发动进攻
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