Review Request: Convenience KRandom methods
Thomas Lübking
thomas.luebking at web.de
Fri Aug 13 20:27:17 BST 2010
> On 2010-08-13 11:03:31, Ivan Cukic wrote:
> > trunk/KDE/kdelibs/kdecore/util/krandom.cpp, line 55
> > <http://reviewboard.kde.org/r/4992/diff/3/?file=33701#file33701line55>
> >
> > As far as the % goes, I'd say it is ok (apart from previous comments)
>
> Ivan Cukic wrote:
> My mistake, it is not :)
>
> Imagine the following:
> random() gives from 0 to 10
> min = 0
> max = 7
>
> this function would give priority to 0 1 and 2
> 0 1 2 3 4 5 6 7 8 9 10
> ______________________
> 0 1 2 3 4 5 6 7 0 1 2
>
> Christoph Feck wrote:
> In other words, there cannot exist any mapping from a uniform random integer distribution in the range [a,b] to a different integer range [d,e] resulting in a uniform distribution.
>
> Since even floats have limited precision in a computer, you cannot solve the problem mathematically correct anyway.
>
> Ingo Klöcker wrote:
> You can solve this problem correctly. Here is a trivial (but terribly inefficient) solution which works for any 0 <= min <= max <= RAND_MAX:
>
> int KRandom::random( int min, int max )
> {
> while ( true ) {
> const int r = random();
> if ( min <= r && r <= max )
> return r;
> }
> }
>
> Making this method work for any ints with max <= min + RAND_MAX (e.g. for min = -1 and max = 1) and more efficiently by throwing away at most max - min values in the range [0,RAND_MAX] is left as an exercise for the reader.
That's not necessary.
Sure: Ivans exmple looks horrible, but random() returns (ideally, the random generator ain't perfect as well) even distributed numbers across the (positive) long range (0-2**31-1 according to posix requirements)
so in worst case (max-min)/2 numbers would be biased by.00000000046566128752 == 1/(2**31-1)
(0,1&2 have a probability of 2/11 compared to 1/11 of the rest in the example, for 12 base numbers 0,1,2&3 would be biased by 1/12 since they appear by 2/12 instead of 1/12)
- Sorry, i must I must confess that i've no ida about proper english terms on this - bash me if they make no sense ;-)
You can however pretty safely assume that this imprecision is shadowed by the general random generator weakness.
If it's _really_ a problem you'd kick the overweightened values (preknown) by a chance of 1/(2**31-1) (ie. random() == n, you can pick your birthdate for n, it doesn't matter) and try again.
- Thomas
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On 2010-08-12 13:40:52, Sebastian Trueg wrote:
>
> -----------------------------------------------------------
> This is an automatically generated e-mail. To reply, visit:
> http://reviewboard.kde.org/r/4992/
> -----------------------------------------------------------
>
> (Updated 2010-08-12 13:40:52)
>
>
> Review request for kdelibs.
>
>
> Summary
> -------
>
> The KRandom namespace is quite useful. However, applications need to be full of code snippets that calculate a random number in a range. IMHO it makes perfect sense to do this once in the library. Thus, I am proposing this patch to introduce two methods providing random numbers from a range.
> Feel free to improve the implementation. :)
>
>
> Diffs
> -----
>
> trunk/KDE/kdelibs/kdecore/util/krandom.h 1162164
> trunk/KDE/kdelibs/kdecore/util/krandom.cpp 1162164
>
> Diff: http://reviewboard.kde.org/r/4992/diff
>
>
> Testing
> -------
>
>
> Thanks,
>
> Sebastian
>
>
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