public void UniformRandomDistribution_WithRandomNumberMethod_Test()
{
const int numIterations = 100_000;
const int range = 500;
var distribution = new int[range];
for (int i = 0; i < numIterations; i++)
{
var value = _sut.RandomNumber(range);
distribution[value]++;
}
var expectedValue = numIterations / range;
var stdDev = range - 1 / Math.Sqrt(12);
var outliers = distribution
.Where(i => i <expectedValue - stdDev || i> expectedValue + stdDev)
.ToArray();
if (outliers.Any())
{
_output.WriteLine($"Expected value: {expectedValue}");
foreach (var outlier in outliers)
{
var difference = Math.Max(outlier, expectedValue) - Math.Min(outlier, expectedValue);
_output.WriteLine($"{outlier}: diff of {difference} ({difference / stdDev}% of std. dev)");
}
Assert.True(false, "Outliers detected");
}
}
public void UniformRandomDistribution_WithRandomNumberMethod_Test()
{
const int numIterations = 100000;
const int range = 100;
var distribution = new int[range];
for (int i = 0; i < numIterations; i++)
{
var value = _sut.RandomNumber(range);
distribution[value]++;
}
var expectedValue = numIterations / range;
var stdDev = 0.1 * expectedValue;
Assert.True(distribution.All(i => i >= expectedValue - stdDev && i <= expectedValue + stdDev));
}
