When I have to use std.random.dice the frequencies don't change often, but I usually have to compute many random values efficiently. Calling dice() many times is not efficient, because it performs some preprocessing of the given frequencies. So I suggest to replace the function dice(xxx) with a range that generates the results. So the current usage of: dice(70, 20, 10) gets replaced by: dice(70, 20, 10).front And you are able to write: take(dice(70, 20, 10), 5) The good thing of this generator is its performance compared to the function. See the performance difference between the two following implementations (5.3 seconds for the first version and 0.7 seconds for the second one). ------------------------ import std.stdio, std.random, std.string; void main() { enum int N = 10_000_000; enum pr = [1/5., 1/6., 1/7., 1/8., 1/9., 1/10., 1/11., 1759/27720.]; double[pr.length] counts = 0.0; foreach (i; 0 .. N) counts[dice(pr)]++; foreach (i, p; pr) writefln("%.8f %.8f", p, counts[i] / N); } ------------------------ import std.stdio, std.random, std.string; void main() { enum int N = 10_000_000; enum pr = [1/5., 1/6., 1/7., 1/8., 1/9., 1/10., 1/11., 1759/27720.]; double[pr.length] cumulatives = pr[]; foreach (i, ref c; cumulatives[1 .. $-1]) c += cumulatives[i]; cumulatives[$-1] = 1.0; double[pr.length] counts = 0.0; auto rnd = Xorshift(unpredictableSeed()); foreach (i; 0 .. N) { double rnum = rnd.front() / cast(double)typeof(rnd.front()).max; rnd.popFront(); int j; for ( ; rnum > cumulatives[j]; j++) {} counts[j]++; } foreach (i, p; pr) writefln("%.8f %.8f", p, counts[i] / N); } ------------------------- See also some other improvements I have suggested for std.random.
See also issue 5883
Created attachment 1060 [details] First draft of a fast dice range D code adapted from Java code: http://www.keithschwarz.com/interesting/code/?dir=alias-method http://www.keithschwarz.com/darts-dice-coins/ http://www.reddit.com/r/programming/comments/nu78s/darts_dice_and_coins_a_beautiful_algorithm_for/
You may want to package contributions as pull requests. Thanks!
Created attachment 1066 [details] Version 0.5 of the fast dice > You may want to package contributions as pull requests. Thanks! Thank you. I think the current code is not yet fit for a pull request, there are some things to be done/solved first: - Create statistical unittests. - Is popLast() overkill/not useful enough? - Is the Range correct now? - Is uint[] enough for mAlias? - ddoc comments are missing still. - Currently the Dice constructor lacks a pre-condition: I think the input probabilities must sum to 1.0. But is this necessary? An alternative design is to accept any array of numbers (integers too), and normalize their sum to 1.0 inside the Dice constructor itself.
See also: https://github.com/D-Programming-Language/phobos/pull/553
Probably partially done here: https://github.com/D-Programming-Language/phobos/pull/553 https://github.com/D-Programming-Language/phobos/commit/a47707a19796c41a9cb77ae9ae09605afd56fa6f
If we don't want to break the API of dice() making it a range, a simple solution is to call the dice range "diceRange" and keep both (but perhaps dice becomes a small function that returns diceRange.front). Another interesting suggestion: in my code I've seen that most times I want to use a dice/diceRange I have to map its result on the items of an array: import std.stdio, std.random; void main() { immutable probabilities = [0.2, 0.6, 0.1, 0.1]; immutable values = "ACGT"; foreach (_; 0 .. 10) values[probabilities.dice].write; } That outputs something similar to: CGCCAAACCC So an improvement for diceRange() is to accept as first argument the range of probabilities, and as second optional argument a range of items. If the second argument is not given, then it generates integers as dice(). If the second argument is given, then it yields the items, according to their probabilities. So that program becomes: import std.stdio, std.random, std.range; void main() { immutable probabilities = [0.2, 0.6, 0.1, 0.1]; immutable values = "ACGT"; probabilities.diceRange(values).take(10).writeln; } This is quite handy.
(In reply to comment #7) > import std.stdio, std.random, std.range; > void main() { > immutable probabilities = [0.2, 0.6, 0.1, 0.1]; > immutable values = "ACGT"; > probabilities.diceRange(values).take(10).writeln; > } > > > This is quite handy. If the second optional argument is not supported, then the code becomes: import std.stdio, std.random, std.range; void main() { immutable probabilities = [0.2, 0.6, 0.1, 0.1]; immutable values = "ACGT"; probabilities.diceRange.map!(i => values[i]).take(10).writeln; } But I am not sure it's strictly equivalent.
Also, why is the random generator engine the first optional argument of dice(), while it's the last for uniform()?
See also: http://www.keithschwarz.com/interesting/code/?dir=alias-method Once paid the time to create the range, all the successive popFront() become just something like this (where for speed nextDouble is not a call to uniform(), but it's more like uniform01): int column = random.nextInt(probability.length); boolean coinToss = random.nextDouble() < probability[column]; return coinToss ? column : alias[column];
FYI: Here's my implementation of the alias method for mir: https://github.com/libmir/mir/blob/da76cf406d06957e472b9ba90b4c90b917480cb9/source/mir/random/discrete.d (it's Boost-licensed)
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