printf 函数的代码尺寸测试
ARM 标准库提供两种打印函数:printf:全功能版本
_printf:与 printf 函数相比,不支持浮点数格式化
代码尺寸对比
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
printf 函数是一个庞大的函数,其功能也更强大,但相对的,它也占用了更多的代码空间。在资源有限的嵌入式平台上,如果不需要浮点数格式化,可以考虑使用 _printf 函数来节省空间
这么庞大啊 我没有重定向printf函数,而是使用的格式化字符串函数。
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