//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);
}
public ParticipantGenerator(int numberOfEntriesToGenerate, int numhet, int dimhet, int numhom, int dimhom, IValueGenerator valueGenerator, IRule aRuel, IParticipantReaderWriter methodHowToWriteEntriesOut, string filename)
{
ruel = aRuel;
writer = methodHowToWriteEntriesOut;
this.valueGenerator = valueGenerator;
//create list of entries with random values between 0 and 1
loParticipants = DummyEntries(valueGenerator, numberOfEntriesToGenerate, numhet, dimhet, numhom, dimhom);
//adjust entries by using ruel e.g. DefaultRuel map value form 0-1 to minValue-maxvalue array
foreach (Participant e in loParticipants)
{
ruel.AdjustParticipant(e);
}
//write them to an XML/textfile
writer.WriteParticipantsToFile(loParticipants, filename);
}
public static List <Participant> DummyEntries(int p = 100, IRule _rule = null)
{
List <Participant> loEntries = new List <Participant>();
for (int i = 0; i < p; i++)
{
List <Criterion> loCriteria = new List <Criterion>();
//pseudoCriteria
loCriteria.Add(new Criteria.SpecificCriterion("Khet1", 4, 0, 1, false, 1));
loCriteria.Add(new Criteria.SpecificCriterion("Khet2", 4, 0, 1, false, 1));
loCriteria.Add(new Criteria.SpecificCriterion("Khom1", 4, 0, 1, true, 1));
loCriteria.Add(new Criteria.SpecificCriterion("Khom2", 4, 0, 1, true, 1));
//loCriteria.Add(new Criteria.SpecificCriterion("Bartle", 4, 0, 1, false, 1));
//loCriteria.Add(new Criteria.SpecificCriterion("BigFive", 5, 0, 1, false, 1));
//loCriteria.Add(new Criteria.SpecificCriterion("FeldermanSilver", 4, 0, 1, false, 1));
//loCriteria.Add(new Criteria.SpecificCriterion("MathKnowledgeIn6Topics", 6, 0, 1, false, 1));
//loCriteria.Add(new Criteria.SpecificCriterion("Activity", 1, 0, 1, true, 1));
//loCriteria.Add(new Criteria.SpecificCriterion("Age", 1, 0, 1, true, 1));
//loCriteria.Add(new Criteria.SpecificCriterion("Position", 2, 0, 1, true, 1));
//loCriteria.Add(new Criteria.SpecificCriterion("spellingfailureRate", 1, 0, 1, true, 1));
Participant participant = new Participant(loCriteria);
loEntries.Add(participant);
}
if (_rule != null)
{
foreach (Participant part in loEntries)
{
_rule.AdjustParticipant(part);
}
}
return(loEntries);
}