/// <summary>
/// This methods will check Max allows Sof %
/// using the 2 possibilities :
/// The ParameterMaxSofDiffValue
/// or, if split SoF can be compared with the ParameterMaxSofFunct,
/// it will use the relative value
/// </summary>
/// <param name="prediction"></param>
/// <param name="diff"></param>
/// <returns></returns>
public bool CheckLimit(Data.PredictionOfSplits prediction, double diff)
{
//double splitSof = prediction.CurrentSplit.GlobalSof;
int splitSof = prediction.CurrentSplit.GetMinClassSof();
AppendDebugDecisionMessage("");
AppendDebugDecisionMessage(" - Prediction " + prediction.Id + " has a Min SoF of " + splitSof);
double maxDiff = ParameterMaxSofDiffValue;
if (splitSof > ParameterMaxSofFunctStartingIRValue)
{
maxDiff = SofDifferenceEvaluator.EvalFormula(ParameterMaxSofFunctStartingIRValue,
ParameterMaxSofFunctStartingThreshold,
ParameterMaxSofFunctExtraThresoldPerK,
splitSof);
AppendDebugDecisionMessage(" Max allowed Diff is " + maxDiff + " (corresponding to MaxSofDiffValueFunction)");
}
else
{
AppendDebugDecisionMessage(" Max allowed Diff is " + maxDiff + " (corresponding to MaxSofDiffValue)");
}
bool result = diff < maxDiff;
if (result)
{
AppendDebugDecisionMessage(" => OK. (under the limit)");
}
else
{
AppendDebugDecisionMessage(" => Not Ok. (higher than the limit)");
}
AppendDebugDecisionMessage("");
return(result);
}
/// <summary>
/// This method will transform a prediction to a concrete split
/// </summary>
/// <param name="prediction"></param>
private void Implement(Data.PredictionOfSplits prediction)
{
// create a split with the right number
Data.Split split = new Split();
split.Number = prediction.CurrentSplit.Number;
// add the split to the Splits List
Splits.Add(split);
// for each available queues
for (int i = 0; i < classesQueues.Count; i++)
{
// get the number of car suggested in the prediction
var take = prediction.CurrentSplit.CountClassCars(i);
if (take > 0)
{
// dequeue the cars from the waiting queue
// (it will takes car from the highest rating)
// (it will remove them from the queue)
int classId = classesIds[i];
var cars = classesQueues[i].PickCars(take);
// move theses car the the split
split.SetClass(i, cars, classId);
}
}
}
