The non-ordered nature of NaN adds further opportunities for error when comparing floating point numbers.
NaN 的无序性质使得在比较浮点数时更容易发生错误。
The floating-point unit integrated into the CPU chip has signaled an error condition, such as numeric overflow or division by 0.
集成到CPU芯片的浮点数单元产生一个错误条件，比如数字溢出或者除0。
Why does this gives a runtime floating point error?
为什么这样一个运行时浮点错误呢？
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