public override bool Execute()
{
var inputs = ModelDataInputs.ToDictionary(d => d.Name, d => d.Value);
IDictionary <string, object> outputs = model.Run(inputs);
for (int i = 0; i < ModelDataOutputs.Count; i++)
{
ModelDataOutputs[i].Value = outputs[ModelDataOutputs[i].Name];
}
return(true);
}
/// <summary>
/// Executes the cSubprocessUNCER object
/// </summary>
/// <returns></returns>
public override bool Execute()
{
var input_uncer_testpoints = new Dictionary <string, double[]>();
#region setting inputs to URQ
int NInput = ModelDataInputs.Count / 4;
string[,] RobVars = new string[NInput, 5];
int counter = 0;
var innerInputs = InnerWorkflow.ModelDataInputs.ToDictionary(d => d.Name);
var outerInputs = ModelDataInputs.ToDictionary(d => d.Name);
foreach (string name in mappings.Keys)
{
string[] mapped = mappings[name];
if (mapped.Length != 4)
{
continue;
}
innerInputs[name].ValueAsDouble = outerInputs[mapped[0]].ValueAsDouble;
RobVars[counter, 0] = name;
RobVars[counter, 1] = outerInputs[mapped[1]].ValueAsString;
RobVars[counter, 2] = outerInputs[mapped[2]].ValueAsString;
RobVars[counter, 3] = outerInputs[mapped[3]].ValueAsString;
RobVars[counter, 4] = 0.ToString();
counter++;
}
var input_options = new ArrayList {
RobVars
};
//cTreatment_InOut input_options_treat = new cTreatment_InOut(input_options);
var input_options_treat = new Treatment_InOut_OP_Input(input_options);
#endregion
string[,] temp_targs = new string[targetOutputs.Count, 7]; // get number of targets (i.e. from set the 'targetOutputs' in constructor)
counter = 0;
foreach (string outVar in targetOutputs)
{
temp_targs[counter, 0] = outVar;
temp_targs[counter, 1] = "1";
temp_targs[counter, 2] = "minimise";
temp_targs[counter, 3] = "";
temp_targs[counter, 4] = "";
temp_targs[counter, 5] = "Quantile";
temp_targs[counter, 6] = "+";
counter++;
}
string[,] temp_constraints = new string[0, 0];
string[,] temp_constants = new string[0, 0];
input_options.Add(temp_targs);
input_options.Add(temp_constraints);
input_options.Add(temp_constants);
input_options.Add("RobustAnalysis");
throw new Exception("This Workflow is deprecated");
//var output_to_set_treat = new Treatment_InOut_OP_Output("Study not executed yet.");
////cTreatment_ROP URQ = new cTreatment_ROP("UncerPropInnerWF", input_options_treat, output_to_set_treat);
//input_options_treat = new Treatment_InOut_OP_Input(input_options);
//var URQ = new Treatment_ROP("UncerPropInnerWF", input_options_treat, output_to_set_treat) { databaseFileName = "URQ" };
//URQ.ApplyOn(InnerWorkflow);
//string[,] temp_store_outputs = URQ.RobustData;
//var MeanAndSD = new List<string>();
//counter = 0;
//int NOut = temp_store_outputs.GetLength(1);
//for (int i = 0; i < NOut; i++)
//{
// switch (counter)
// {
// case 0:
// counter++;
// break;
// case 1:
// counter++;
// MeanAndSD.Add(temp_store_outputs[0, i]);
// break;
// case 2:
// MeanAndSD.Add(temp_store_outputs[0, i]);
// counter = 0;
// break;
// }
//}
//for (int i = 0; i < ModelDataOutputs.Count; i++)
//{
// if (i % 2 == 0)
// ModelDataOutputs[i].ValueAsDouble = Convert.ToDouble(MeanAndSD.ElementAt(i));
// else
// ModelDataOutputs[i].ValueAsDouble = Math.Sqrt(Convert.ToDouble(MeanAndSD.ElementAt(i)));
//}
//return true;
}
