|Reported by:||daniel.is.fischer||Owned by:||rrnewton|
|Type of failure:||Incorrect result at runtime||Difficulty:|
|Test Case:||Blocked By:|
When given a large range, randomR overflows at Double etc.
randomIvalDouble has two problems: first, the calculation of the center, (l+h)/2 overflows if the range is located near ±Infinity; second, and that concerns also randomRFloating, the scaling factor (h-l) overflows if the range is large enough.
Both problems can be fixed "well enough" by multiplying the bounds by 0.5 before the calculations and scaling up at the end,
0.5*l + 0.5*h instead of (l+h)/2 (0.5*h - 0.5*l)/(0.5*realToFrac int32Count) in randomIvalDouble 2.0*(0.5*l + coef*(0.5*h - 0.5*l)) in randomRFloating
These transformations can introduce a small error when a subnormal number is involved, but I think we can ignore that (no sane person would have a [nonzero] subnormal number as a bound, and a correct-for-all-cases transformation would be somewhat convoluted).