This isn't a very satisfactory testing method, however. Get the tolerance too tight, and spurious random differences cause tests to fail unnecessarily. Too loose, and you might miss a subtle logic bug that skews the probabilities of some case.

The weighted random shuffle algorithm calls

`int rand $limit`a number of times, each time passing in a small integer. This effectively uses the RNG like a dice roll, randomly selecting some integer

`0 .. $limit - 1`. Because each call takes a small integer, and because the algorithm is entirely deterministic for any given set of random results, this suggests a better testing method. If we could instead enumerate all possible returns of random numbers, each one exactly once, we can generate all possible results from the shuffle algorithm in their ideal proportions. Because this will be an exact deterministic count, free from randomness, we can assert exact values for the results.

So this is what I did. I've created a module, for now simply called

`Unrandom`, which exports one function,

`unrandomly`. It is used like the following:

use Unrandom 'unrandomly';The

unrandomly {

my $da = 1 + int rand 6;

my $db = 1 + int rand 6;

say "Roll 2d6: $da + $db = " . ($da+$db);

};

`unrandomly`function has the effect of replacing the

`rand`function with one under its control while it runs the block of code. It runs the block of code a number of times, enumerating the entire tree of possible return values, in a given deterministic order:

Roll 2d6: 1 + 1 = 2Because each possible combination is returned exactly once, we can unit test that this dice-rolling algorithm does in fact give us the right distribution of results; there will be exactly one 2, two 3s, etc... We don't have to run it a few million times, and check that we got "roughly" the right number; we can be exact.

Roll 2d6: 1 + 2 = 3

Roll 2d6: 1 + 3 = 4

Roll 2d6: 1 + 4 = 5

Roll 2d6: 1 + 5 = 6

Roll 2d6: 1 + 6 = 7

Roll 2d6: 2 + 1 = 3

Roll 2d6: 2 + 2 = 4

...

Roll 2d6: 6 + 5 = 11

Roll 2d6: 6 + 6 = 12

While I'm using this code in a unit-test, there's nothing directly test-related in the code. It could be useful anywhere that statistical modelling is used, or other problems involving random integer generation.

I'm now just looking for a good name to call it, so I can extract it from the unit tests and give it a life of its own on CPAN.

Suggestions anyone?