/// <summary>
/// Represents the target for the adapter.
/// </summary>
//public Distributions()
//{
//}
public double NormCdf(double x)
{
double cdf;
NormalDistribution normCdf = new NormalDistribution(0, 1);
cdf = normCdf.CumulativeDistribution(x);
return cdf;
}
/// <summary>
/// Represents the target for the adapter.
/// </summary>
//public Distributions()
//{
//}
public double NormCdf(double x)
{
double cdf;
Debug.Assert(!double.IsNaN(x));
var normCdf = new NormalDistribution(0, 1);
cdf = normCdf.CumulativeDistribution(x);
return cdf;
}
public IGraphInfo GetGraphInfo(int projectId, string locatie, string root)
{
DataGraph distribution = new DataGraph();
DataPoint prestatiepeilPunt;
DataPoint toetspeilPunt;
try
{
// Get a random number generator
Random rand = new Random();
double x;
double y;
for (int i = 0; i < 1000; i++)
{
MathNet.Numerics.Distributions.NormalDistribution bin = new NormalDistribution(0, 1000);
y = bin.CumulativeDistribution(i);
distribution.Add(new DataPoint(i, y));
}
x = rand.NextDouble() * 20.0 + 1;
y = Math.Log(10.0 * (x - 1.0) + 1.0) * (rand.NextDouble() * 0.2 + 0.9);
prestatiepeilPunt = new DataPoint(x, y);
x = rand.NextDouble() * 20.0 + 1;
y = Math.Log(10.0 * (x - 1.0) + 1.0) * (rand.NextDouble() * 0.2 + 0.9);
toetspeilPunt = new DataPoint(x, y);
}
catch (Exception ex)
{
throw new CheckedException(ErrorType.ParseFailure, ex.Message);
}
///NOTE: met GraphInfoSimple(distribution, toetspeilPunt, prestatiepeilPunt) is loosely-coupling onmogelijk
///(assemblies scheiden zonder interfaces te kopieren in de de bussiness layer).
///Gebruik minimaal een pattern.
IGraphInfo result = new Factory<MyAccess>().CreateGraphInfo();
result.OverschrijdingsKansen = distribution;
result.PrestatiePeil = prestatiepeilPunt;
result.ToetsPeil = toetspeilPunt;
return result;
}
public void AdapterConstructorTargetTest()
{
Distributions target1 = new Distributions();
Adapter target = new Adapter(target1);
Adaptee adaptee = new Adaptee();
NormalDistribution normCdf = new NormalDistribution(0, 1);
Func<double, double> expected = target1.NormCdf;
Func<double, double> actual = target.NormCdf;
Assert.AreNotEqual(expected(1), adaptee.NormCdf(1), "Should NOT be equal function behaviour.");
Assert.AreEqual(expected(1), actual(1), "Should be equal function behaviour.");
Assert.AreEqual( normCdf.CumulativeDistribution(1), actual(1), "Should be equal function behaviour.");
Func<double, double> normCdf2 = arg =>
{
arg = arg - 1;
return arg;
};
Assert.AreNotEqual(expected, normCdf2);
}