internal PdxSublist GetData(PdxSublist parent)
{
var data = new PdxSublist(parent, "upper_house");
data.AddValue("liberal", Liberal.ToString());
data.AddValue("conservative", Conservative.ToString());
data.AddValue("reactionary", Reactionary.ToString());
data.AddValue("fascist", "0");
data.AddValue("communist", "0");
data.AddValue("anarcho_liberal", "0");
data.AddValue("socialist", "0");
return(data);
}
/// <summary>
/// This is the method that actually does the work.
/// </summary>
/// <param name="DA">The DA object is used to retrieve from inputs and store in outputs.</param>
protected override void SolveInstance(IGH_DataAccess DA)
{
IGH_Goo goo = null;
Image image = new Image();
if (!DA.GetData(0, ref goo))
{
return;
}
if (!goo.TryGetImage(ref image))
{
return;
}
int mode = 0;
DA.GetData(1, ref mode);
int numValA = 1;
DA.GetData(2, ref numValA);
int numValB = 1;
DA.GetData(3, ref numValB);
Filter filter = new Filter();
int[] indices = new int[] { 2, 3 };
switch ((FilterModes)mode)
{
case FilterModes.Adaptive:
ClearParameters(indices);
filter = new Adaptive();
image.Filters.Add(new Adaptive());
break;
case FilterModes.Conservative:
ClearParameters(indices);
filter = new Conservative();
image.Filters.Add(new Conservative());
break;
case FilterModes.Median:
ClearParameters(indices);
filter = new Median();
image.Filters.Add(new Median());
break;
case FilterModes.Gaussian:
SetParameter(2, "D", "Divisor", "Division factor");
SetParameter(3, "T", "Threshold", "Threshold weighted sum");
filter = new Gaussian(numValA, numValB);
image.Filters.Add(new Gaussian(numValA, numValB));
break;
case FilterModes.HighBoost:
SetParameter(2, "D", "Divisor", "Division factor");
SetParameter(3, "T", "Threshold", "Threshold weighted sum");
filter = new HighBoost(numValA, numValB);
image.Filters.Add(new HighBoost(numValA, numValB));
break;
case FilterModes.Mean:
SetParameter(2, "D", "Divisor", "Division factor");
SetParameter(3, "T", "Threshold", "Threshold weighted sum");
filter = new Mean(numValA, numValB);
image.Filters.Add(new Mean(numValA, numValB));
break;
case FilterModes.Simple:
SetParameter(2, "D", "Divisor", "Division factor");
SetParameter(3, "T", "Threshold", "Threshold weighted sum");
filter = new Simple(numValA, numValB);
image.Filters.Add(new Simple(numValA, numValB));
break;
}
message = ((FilterModes)mode).ToString();
UpdateMessage();
DA.SetData(0, image);
DA.SetData(1, filter);
}
