public List <BetterMatchMaking.Library.Data.Line> LoadCsv(string csvFile)
{
var parser = new BetterMatchMaking.Library.Data.CsvParser();
parser.Read(csvFile);
return(parser.DistinctCars);
}
public List <BetterMatchMaking.Library.Data.Line> LoadFromCode()
{
var parser = new BetterMatchMaking.Library.Data.CsvParser();
parser.Add(1, 100, -92014, -92014, "Rebellion iRacing Team #White", 0);
parser.Add(1, 100, -92014, 141847, "Mickael Lamoureux", 4697);
parser.Add(1, 100, -92014, 293434, "Michael M Meier", 4465);
parser.Add(1, 100, -86236, -86236, "Rebellion iRacing Team #Black", 0);
parser.Add(1, 100, -86236, 221010, "Kelian Tocqueville", 4261);
parser.Add(1, 100, -86236, 313425, "Cyril Deforge", 4047);
parser.Add(1, 100, -86236, 329766, "Maxime Duval", 4047);
parser.Add(1, 100, -112572, -112572, "Rebellion iRacing Team #Silver", 0);
parser.Add(1, 100, -112572, 281664, "Sebastien Mallet", 3343);
parser.Add(1, 100, -112572, 130898, "Cyril Gitzhoffer", 3342);
parser.Add(1, 100, -112572, 337108, "Frédéric Paolino", 3057);
parser.Add(1, 100, -121343, -121343, "Rebellion iRacing Team #Gold", 0);
parser.Add(1, 100, -121343, 234038, "Xav Bourgeois", 3010);
parser.Add(1, 100, -121343, 296447, "Dario Sullo", 2990);
parser.Add(1, 100, -121343, 305737, "Nicolas Bellet", 2725);
parser.Add(1, 100, -119057, -119057, "Rebellion iRacing Team #Special", 0);
parser.Add(1, 100, -119057, 300677, "Alfonso Asenjo", 2457);
parser.Add(1, 100, -119057, 301335, "Ruelle Franck", 2393);
parser.Add(1, 100, -135485, -135485, "Rebellion iRacing Team #Special2", 0);
parser.Add(1, 100, -135485, 335977, "Thomas Corriger", 2350);
parser.Add(1, 100, -135485, 222457, "Sébastien Poidevin", 2158);
parser.GroupDistinctCars(); // don't forget to call this method when your list is finished
return(parser.DistinctCars);
}
public void Test(string csv)
{
// get fieldsize from file name
int fieldSize = 0;
string cst_fieldsize = "-fieldsize";
if (csv.Contains(cst_fieldsize))
{
string strfieldsize = csv.Substring(
csv.IndexOf(cst_fieldsize) + cst_fieldsize.Length,
2
);
Int32.TryParse(strfieldsize, out fieldSize);
}
// -->
// read csv
var parser = new BetterMatchMaking.Library.Data.CsvParser();
parser.Read(csv);
var entrylist = parser.DistinctCars;
// -->
// run algorithm
BetterMatchMaking.Library.BetterMatchMakingCalculator calculator = new Library.BetterMatchMakingCalculator("SmartPredictedMoveDownAffineDistribution");
for (int p = 5; p < 50; p++)
{
Console.WriteLine("");
Console.WriteLine("------------------------------------");
Console.WriteLine(new FileInfo(csv).Name);
Console.WriteLine("Max Soff Diff = " + p);
calculator.ParameterMinCarsValue = p;
calculator.ParameterMaxSofDiffValue = 17;
calculator.ParameterMaxSofFunctStartingIRValue = 2800;
calculator.ParameterMaxSofFunctStartingThreshold = 18;
calculator.ParameterMaxSofFunctExtraThresoldPerK = 11;
calculator.ParameterTopSplitExceptionValue = 0;
calculator.ParameterNoMiddleClassesEmptyValue = 0;
calculator.ParameterRatingThresholdValue = 1700;
calculator.Compute(entrylist, fieldSize);
var audit = calculator.GetAudit();
Console.WriteLine(audit.ToString());
Console.WriteLine("AverageSplitClassesSofDifference = " + audit.AverageSplitClassesSofDifference);
Console.WriteLine("MinSplitSizePercent = " + audit.MinSplitSizePercent);
if (!audit.Success)
{
testsFailed++;
}
if (audit.MinSplitSizePercent < 0.5)
{
testsSplitsDiff++;
}
if (audit.IROrderInconsistencySplits.Count > 0)
{
}
diff.Add(audit.AverageSplitClassesSofDifference);
tests++;
}
// -->
}
