public static LegModel[] GenerateLegs(int legCount, int binPerLeg)
{
var rand = new Random();
var legs = new LegModel[legCount];
for (var legOrder = 1; legOrder <= legCount; legOrder++)
{
var selections = new SelectionModel[binPerLeg];
for (var bin = 1; bin <= binPerLeg; bin++)
{
var prob = rand.NextDouble();
selections[bin - 1] = new SelectionModel(bin, prob);
}
//normalised the probs
var sumProbs = selections.Sum(s => s.Probability);
foreach (var sel in selections)
{
var newProb = sel.Probability / sumProbs;
sel.UpdateProbability(newProb);
}
var sumOfProbs = selections.Sum(s => s.Probability);
Assert.That(sumOfProbs > 0.99);
legs[legOrder - 1] = new LegModel(legOrder, selections);
}
return(legs);
}