One of the trickiest checks in regression setups is doing floating point comparisons.
回归测试中最棘手的检查之一是浮点比较。
The issue with floating point comparisons is that of precisions—f1 and result*result start differing from a couple of places after the decimal point.
浮点比较的问题在于精度 — f1 和 result*result 在小数点后面的几位不一致。
Why do you need separate macros for floating point comparisons?
为什么需要用单独的宏进行浮点数比较？
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