STC8H USB仿真有bug
data:image/png;base64,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寄存器的值都不对。
DPTR也不会自增 这段代码如果要用STC8H硬件仿真,不可单步,只能加断电后全速运行,否则确实有问题
因为STC8H的串口仿真和USB仿真都是monitor仿真,是需要运行仿真监控程序的
仿真监控程序里面有使用DPTR相关的指令,会影响用户DPTR的自动递增功能
这个问题目前STC8H无更好的解决方案,到STC32G系列的SWD硬件仿真可解决 后续我们会写在仿真注意事项中 我优化uCOS2代码,使用DPTR自增功能。
确实全速运行可以,不能单独调试这部分汇编代码。 汇编好久没写,还停留在学DOSBOX上
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