digitalmars.D - randomCover not so random?
- dsimcha (31/31) Apr 20 2009 Maybe I'm doing something subtly wrong here, but I've checked all the ob...
- Andrei Alexandrescu (9/28) Apr 20 2009 Here you reseed the random number generator every pass through the outer...
- dsimcha (12/40) Apr 20 2009 Actually, I meant to mention in the original post that I thought of this...
Maybe I'm doing something subtly wrong here, but I've checked all the obvious stuff. import std.stdio, std.random, std.array; import dstats.base : Perm; void main() { uint[int[]] counts; immutable int[] foo = [1,2,3]; // Make sure every permutation is represented in counts. foreach(perm; Perm!int(foo.dup)) { counts[perm.dup] = 0; } foreach(i; 0..10_000) { int[] result; foreach(elem; randomCover(foo, Random(unpredictableSeed))) { result ~= elem; } counts[result]++; } foreach(k, v; counts) { writeln(k, "\t", v); } } Output: 2 3 1 0 3 2 1 0 1 3 2 0 3 1 2 0 1 2 3 4929 2 1 3 5071 Note that when I use randomShuffle instead of randomCover, I get a fairly uniform distribution on the permutation space.
Apr 20 2009
dsimcha wrote:Maybe I'm doing something subtly wrong here, but I've checked all the obvious stuff. import std.stdio, std.random, std.array; import dstats.base : Perm; void main() { uint[int[]] counts; immutable int[] foo = [1,2,3]; // Make sure every permutation is represented in counts. foreach(perm; Perm!int(foo.dup)) { counts[perm.dup] = 0; } foreach(i; 0..10_000) { int[] result; foreach(elem; randomCover(foo, Random(unpredictableSeed))) {Here you reseed the random number generator every pass through the outer loop. Although unpredictableSeed is designed to be unpredictable, it is _not_ random. You'd need to have each cover use the same random generator. Here's where a shortcoming in the design of randomCover becomes evident: randomCover stores a copy of its generator, which makes it difficult to support what you need. I will look into a fix. Andrei
Apr 20 2009
== Quote from Andrei Alexandrescu (SeeWebsiteForEmail erdani.org)'s articledsimcha wrote:Actually, I meant to mention in the original post that I thought of this already and it's not the problem. When I re-seed the generator every time but use randomShuffle, I get something pretty uniform looking. Furthermore, even after I allow a few more clock ticks to go by and re-run the program, I still get the same thing when using randomCover. I also tried things like keeping a Mersenne Twister outside the loop and using successive iterations of that to seed the generator that I pass to randomCover. I actually did find the real problem, though. It's really simple and I've filed it in Bugzilla. See http://d.puremagic.com/issues/show_bug.cgi?id=2865 . Also, since I remember the discussion a while back on how to make randomCover as efficient as possible, why are we using bool[] instead of BitArray for it?Maybe I'm doing something subtly wrong here, but I've checked all the obvious stuff. import std.stdio, std.random, std.array; import dstats.base : Perm; void main() { uint[int[]] counts; immutable int[] foo = [1,2,3]; // Make sure every permutation is represented in counts. foreach(perm; Perm!int(foo.dup)) { counts[perm.dup] = 0; } foreach(i; 0..10_000) { int[] result; foreach(elem; randomCover(foo, Random(unpredictableSeed))) {Here you reseed the random number generator every pass through the outer loop. Although unpredictableSeed is designed to be unpredictable, it is _not_ random. You'd need to have each cover use the same random generator. Here's where a shortcoming in the design of randomCover becomes evident: randomCover stores a copy of its generator, which makes it difficult to support what you need. I will look into a fix. Andrei
Apr 20 2009