public EnsOutput(EnsembleStatistics statistics)
{
stats = statistics;
int NstatTypes = stats.types.Length;
dataSeries = new SmOutput[NstatTypes];
for (int i = 0; i < NstatTypes; i++)
{
dataSeries[i] = new SmOutput();
}
}
public bool Mat_AddOutputVariableLinkFlow(string fromNode, string toNode, string name, bool mean, bool std, bool min, bool max, bool median)
{
SmOutput.OutputType hydraulicType = SmOutput.OutputType.linkFlowTimeSeries;
EnsembleStatistics stats = new EnsembleStatistics();
stats.SetStats(mean, std, min, max, median);
EnsOutput xouts = new EnsOutput(stats);
xouts.name = name;
xouts.hydraulicType = hydraulicType;
MainModel model = models[0];
List <Connection> cons = model.getConnections();
int fromIndex = model.getNode(fromNode).index;
int toIndex = model.getNode(toNode).index;
bool bsuccess = false;
for (int i = 0; i < cons.Count; i++)
{
if (cons[i].from == fromIndex && cons[i].to == toIndex)
{
SmOutput xout = new SmOutput();
xout.name = name;
xouts.con = new Connection[models.Length];
for (int j = 0; j < models.Length; j++)
{
xouts.con[j] = models[j].Connections[i];
}
}
bsuccess = true;
}
if (!bsuccess)
{
throw new Exception("could not find output variable " + name);
}
outputCollection.addNewDataSeries(xouts);
return(true);
}
private void AddEnsembleOutputFromParameterTable(string[,] paramTable, int ix)
{
bool[] ensStats = new bool[5];
for (int i = ix; i < paramTable.Length; i++)
{
if (paramTable[i, 0] == "[EndSect]")
{
return;
}
if (paramTable[i, 0] == "<Stats>")
{
string[] split = paramTable[i, 1].Split(new Char[] { ' ', '\t', '=', ',', '(', ')', ';' }, StringSplitOptions.RemoveEmptyEntries);
ensStats = new bool[split.Length];
for (int j = 0; j < split.Length; j++)
{
ensStats[j] = (split[j] == "1");
}
}
if (paramTable[i, 0] == "<output>")
{
switch (paramTable[i, 1])
{
case "Flow":
Mat_AddOutputVariableLinkFlow(paramTable[i, 2], paramTable[i, 3], paramTable[i, 4], ensStats[0], ensStats[1], ensStats[2], ensStats[3], ensStats[4]);
break;
case "Vol":
Mat_AddOutputVariable(SmOutput.OutputType.nodeVolume, paramTable[i, 2], ensStats[0], ensStats[1], ensStats[2], ensStats[3], ensStats[4]);
break;
case "outletFlow":
Mat_AddOutputVariable(SmOutput.OutputType.outletFlowTimeSeries, paramTable[i, 2], ensStats[0], ensStats[1], ensStats[2], ensStats[3], ensStats[4]);
break;
case "GlobalVolume":
// addOutputVariable(SmOutput.OutputType.GlobalVolumen);
throw new NotImplementedException("Unknown connection type: " + paramTable[i, 1]);
break;
case "NodeWL":
SmOutput.OutputType hydraulicType = SmOutput.OutputType.nodeWaterLevel;
EnsembleStatistics stats = new EnsembleStatistics();
stats.SetStats(ensStats[0], ensStats[1], ensStats[2], ensStats[3], ensStats[4]);
EnsOutput xouts = new EnsOutput(stats);
xouts.name = paramTable[i, 4];
xouts.hydraulicType = hydraulicType;
MainModel model = models[0];
xouts.nodex = model.getNode((paramTable[i, 2]));
xouts.derived = new DerivedValue(paramTable[i, 5]);
for (int j = 0; j < models.Length; j++)
{
SmOutput xout = new SmOutput();
xout.name = paramTable[i, 4];
}
outputCollection.addNewDataSeries(xouts);
break;
default:
throw new NotImplementedException("Unknown connection type: " + paramTable[i, 1]);
}
}
}
}