//Todo Criteria so machen dass man die gewichtung nur einmal für alle ändern muss
/// <summary>
/// returns p count of Entries with 4 Criteria. The values of the Criteria are uniformly distributed(random).
/// </summary>
/// <param name="p">how many entries to generate</param>
/// <returns>entries generated by random</returns>
public static List <Participant> DummyEntries(IValueGenerator valueGenerator, int p, int numHet, int dimHet, int numHom, int dimHom, IRule _rule = null)
{
List <Participant> loEntries = new List <Participant>();
List <float>[] values = new List <float> [(numHet * dimHet) + (numHom * dimHom)]; // store values here
for (int i = 0; i < (numHet * dimHet) + (numHom * dimHom); i++)
{
// generate values for one specific dimension of a criterion for p players
values[i] = valueGenerator.GenerateValues(0, 1, p);
}
for (int i = 0; i < p; i++)
{
System.Console.Out.WriteLine("Generating participant " + i + "..");
List <Criterion> loCriteria = new List <Criterion>();
//pseudoCriteria
for (int j = 1; j <= numHet; j++)
{
SpecificCriterion c = new Criteria.SpecificCriterion("Khet" + j, dimHet, 0, 1, false, 1);
loCriteria.Add(c);
for (int k = 1; k <= dimHet; k++)
{
c.Value[k - 1] = values[(j * k) - 1][i];
}
}
for (int j = 1; j <= numHom; j++)
{
SpecificCriterion c = new Criteria.SpecificCriterion("Khom" + j, dimHom, 0, 1, true, 1);
loCriteria.Add(c);
for (int k = 1; k <= dimHom; k++)
{
c.Value[k - 1] = values[((numHet * dimHet) + j * k) - 1][i];
}
}
Participant participant = new Participant(loCriteria);
loEntries.Add(participant);
}
if (_rule != null)
{
foreach (Participant part in loEntries)
{
_rule.AdjustParticipant(part);
}
}
return(loEntries);
}