public void SetUp()
{
Matcher = new NaNConstraint();
GoodValues = new object[] { double.NaN, float.NaN };
BadValues = new object[] { null, "hello", 42, 4.2, 4.2f, 4.2m,
double.PositiveInfinity, double.NegativeInfinity,
float.PositiveInfinity, float.NegativeInfinity };
Description = "NaN";
}
/// <summary> Calculates an optimal lambda (rigidity) value by the variance of values_ array.</summary>
protected double BestRigidityEstimate()
{
if (!IsInitialized)
{
return(0);
}
const double minSmoothParam = 1e-6;
const double maxSmoothParam = 1 - 1e-6;
if (values_.Length < 1)
{
return(minSmoothParam);
}
var sT = new double[values_.Length];
if (values_.Length < 2)
{
return(minSmoothParam);
}
for (var i = 0; i < sT.Length - 1; i++)
{
sT[i] = values_[i + 1] - values_[i];
}
var varSt = sT.Variance();
var smoothParameter = 1.0 / (varSt * Math.Pow(sT.Length, 1.0 / 2) + 1);
var param = new NaNConstraint();
if ((smoothParameter > 0.1) && _isPca)
{
smoothParameter /= Math.Sqrt(sT.Length);
}
if ((param.Matches(smoothParameter)) || smoothParameter > maxSmoothParam)
{
smoothParameter = minSmoothParam;
}
return(smoothParameter);
}
public void SetUp()
{
theConstraint = new NaNConstraint();
stringRepresentation = "<nan>";
expectedDescription = "NaN";
}
public void SetUp()
{
theConstraint = new NaNConstraint();
stringRepresentation = "<nan>";
expectedDescription = "NaN";
}