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rtt自动生成工程,支持IAR 8.20 版本吗?
发布于 2018-08-06 14:40:31 浏览:1402
订阅该版
谢谢!
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bear1
2018-08-06
这家伙很懒,什么也没写!
![](data:image/png;base64,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)
aozima
2018-08-06
调网络不抓包,调I2C等时序不上逻辑分析仪,就像电工不用万用表!多用整理的好的文字,比截图更省流量,还能在整理过程中思考。
自己用对应版本的IAR建一个模板就可以。
bear1
2018-08-07
这家伙很懒,什么也没写!
>自己用对应版本的IAR建一个模板就可以。 --- 好的,明白,谢谢! 比较了一番还是IAR好,MDK的bug太多。
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