public void ShuffleShouldHaveGoodDistribution()
{
double[] pickedValues = new double[TotalItems];
for (int i = 0; i < TotalItems; i++) // Simulate standard cubic dice rolls:
{
pickedValues[i] = rng.Roll(1, 6);
}
AssertTools.IsUniformishDistribution(pickedValues, 1, 6);
}
public void OneInShouldHaveGoodDistribution()
{
double[] pickedValues = new double[TotalItems];
for (int i = 0; i < TotalItems; i++) // Simulate coin tosses:
{
pickedValues[i] = rng.OneIn(2) ? 1 : 0;
}
AssertTools.IsUniformishDistribution(pickedValues, 0, 1);
}
public void NextsShouldHaveGoodDistribution()
{
double[] pickedValues = new double[TotalItems];
for (int i = 0; i < TotalItems; i++)
{
pickedValues[i] = rng.NextSeveral(1, MinValue, MaxValue + 1);
}
AssertTools.IsUniformishDistribution(pickedValues, MinValue, MaxValue);
}
public void NextItemFromCollectionShouldHaveGoodDistribution()
{
double[] pickedValues = new double[TotalItems];
for (int i = 0; i < TotalItems; i++)
{
pickedValues[i] = rng.NextItem((ICollection <int>)values); // Cast so a needed overload will be chosen
}
AssertTools.IsUniformishDistribution(pickedValues, MinValue, MaxValue);
}
public void NextSubsetShouldHaveGoodDistribution()
{
const int subsetSize = 50;
double[] pickedValues = new double[TotalItems];
// Make lots of subsets:
for (int subsetStart = 0; subsetStart < TotalItems; subsetStart += subsetSize)
{
var subset = rng.NextSubset(values, subsetSize).ToList();
// And gather values from each subset:
for (int i = 0; i < subset.Count; i++)
{
pickedValues[subsetStart + i] = subset[i];
}
}
AssertTools.IsUniformishDistribution(pickedValues, MinValue, MaxValue);
}
public void IntervalDieDistributionShouldBeGood()
{
AssertTools.IsUniformishDistribution(rolls, interval.Minimum, interval.Maximum);
}
public void D6DistributionShouldBeGood()
{
AssertTools.IsUniformishDistribution(rolls, d6.Minimum, d6.Maximum);
}
public void D3D8Plus3ToEachDistributionShouldBeGood()
{
AssertTools.IsUniformishDistribution(rolls, c3d8ep3.Minimum, c3d8ep3.Maximum);
}