//Filter TimeStamp based on Inception Date and Expiration Date & Find the earliest TimeStamp for the Event
private void FilterGULoss(IVectorEvent output, long ContractID)
{
float[] LossVector = output.LossVector;
uint[] TimeStamps = output.TimeStamps;
int Length = LossVector.Length;
DateTime inception = ContractDeclarationsSet[ContractID].Inception;
DateTime expiration = ContractDeclarationsSet[ContractID].Expiration;
uint MinTimeStamp = uint.MaxValue;
for (int i = 0; i < Length; i++)
{
//Find earliest TimeStamp for the Event;
if (TimeStamps[i] > 0 && TimeStamps[i] < MinTimeStamp)
{
MinTimeStamp = TimeStamps[i];
}
DateTime AriteExpiration = inception.AddDays((double)TimeStamps[i]);
if (AriteExpiration > expiration)
{
LossVector[i] = 0;
}
}
DateTime EventStartTime = new DateTime(inception.Year, 1, 1);
EventStartTime = EventStartTime.AddDays((double)MinTimeStamp - 1);
EventStartDate.Add(ContractID, EventStartTime);
}
public GULossAdaptor(IRITEindexMapper _mapper, IVectorEvent _guLossVector, Dictionary <long, Declarations> _declarationsSet, bool _convertToGU = true)
{
//mapper = _mapper;
//ContractDeclarations = _contractDeclarations;
//AllocationHelper = new AllocatedLossAdaptor(_mapper, ContractDeclarations);
//drLossEvent = _guLossVector;
//lossType = GULossType.Vector;
//transformer = new GULossTransformer(mapper);
//convertToGU = _convertToGU;
throw new NotSupportedException("Losses of Vector type input is no longer supported");
}
public ReferenceResultOutput Execute(long conID, GraphType type, IVectorEvent guLossEvent)
{
//ExposureDataAdaptor expData = PDataAdaptor.GetExposureAdaptor(conID);
//string error;
//IRITEindexMapper indexMapper = GetMapper(expData);
//GraphInfo graphInfo = GetGraph(type, expData, indexMapper);
//Graph graph = graphInfo.Graph;
//GULossAdaptor guLossAdaptor = new GULossAdaptor(indexMapper, guLossEvent, graph.Declarations, true);
//GraphExecuterAdaptor MainExecuter = new GraphExecuterAdaptor(graphInfo);
//return MainExecuter.RunExecution(guLossAdaptor);
throw new NotSupportedException("Reference Prototype no longer supports Vector type input!");
}
public IVectorEvent GenerateRITELoss(int eventID)
{
Dictionary <string, Dictionary <int, Dictionary <long, Tuple <double, uint, List <float> > > > > IntialGULoss;
if (GUgenerator.GenerateRITELoss(eventID))
{
IntialGULoss = GUgenerator.GULosses;
}
else
{
throw new InvalidOperationException("Cannot get ground-up loss for event: " + eventID);
}
GULossTransformer transformer = new GULossTransformer(indexMapper);
IVectorEvent VectorGU = transformer.DictToVector(IntialGULoss);
return(VectorGU);
}
private static void TestGULossVector(PartitionData pd, long conID)
{
//Default SubSampling Settings
SubSamplingAnalysisSetting subSamplingSettings = new SubSamplingAnalysisSetting(false, 1, 0, 250, "", "");
PartitionDataAdpator PDataAdap = new PartitionDataAdpator(pd, subSamplingSettings);
ExposureDataAdaptor expData = PDataAdap.GetExposureAdaptor(conID);
ISubPerilConfig subperilInfo = new RMSSubPerilConfig();
IRITEindexMapper mapper = new RITEmapper1(expData, new RAPSettings(new HashSet <string> {
"EQ"
}), subperilInfo);
HashSet <String> subperils = new HashSet <string> {
"EQ", "WS"
};
VectorGUInputGeneratorFactory vectorgeneratorFactory = new VectorGUInputGeneratorFactory(pd, new HashSet <string> {
"EQ"
}, TimeStyle.ConstantTimeStamps, LossStyle.GroundUp, true, subSamplingSettings);
VectorGUInputGenerator ReferenceEventGen = vectorgeneratorFactory.GetGeneratorForContract(conID);
IVectorEvent Event = ReferenceEventGen.GenerateRITELoss(1);
}
public GULossInputEngine(IGraphState _graphstate, IExecutableMatrixGraph _graph, IVectorEvent _event)
{
graphstate = _graphstate;
graph = _graph;
Event = _event;
}
public static void TestReferenceSpeed(GraphType type, PartitionData PD, int conIndex, COLCollection COLSet)
{
RAPSettings settings = new RAPSettings(COLSet.GetSubperils());
//Default SubSampling Settings
SubSamplingAnalysisSetting subSamplingSettings = new SubSamplingAnalysisSetting(false, 1, 0, 250, "", "");
//NGFMPrototype NGFM = new NGFMPrototype(PD);
ReferencePrototype Reference = new ReferencePrototype(PD, settings, subSamplingSettings);
Reference.ReferencePrepare(GraphType.Auto);
NGFMPrototype NGFM = new NGFMPrototype();
NGFM.Prepare(PD); //NGFM result is cached, so create another object for each event
double MicroSecondTicks = Stopwatch.Frequency / 1000000.0;
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
NGFM.Prepare(PD); //NGFM result is cached, so create another object for each event
stopwatch.Stop();
double NGFMGraphTime = Convert.ToDouble(stopwatch.ElapsedTicks) / MicroSecondTicks;
PartitionDataAdpator PDataAdap = new PartitionDataAdpator(PD, subSamplingSettings);
ExposureDataAdaptor expData = PDataAdap.GetExposureAdaptor(conIndex);
GUInputGeneratorFactory generatorFactory = new GUInputGeneratorFactory(PD, COLSet, subSamplingSettings, TimeStyle.ConstantTimeStamps, LossStyle.DamagaeRatio);
GUInputGenerator NGFMEventGen = generatorFactory.GetGeneratorForContract(conIndex);
VectorGUInputGeneratorFactory vectorgeneratorFactory = new VectorGUInputGeneratorFactory(PD, COLSet.GetSubperils(), TimeStyle.ConstantTimeStamps, LossStyle.GroundUp, true, subSamplingSettings);
VectorGUInputGenerator ReferenceEventGen = vectorgeneratorFactory.GetGeneratorForContract(conIndex);
int counter = 0;
int total = 0;
Console.WriteLine("State at: " + DateTime.Now.ToString("h:mm:ss tt"));
//NGFMPrototype NGFM = new NGFMPrototype(PD);
for (int i = 1; i < 100; i += 1)
{
Dictionary <string, Dictionary <int, Dictionary <long, Tuple <double, uint, List <float> > > > > NGFMguLoss;
//Dictionary<string, Dictionary<int, Dictionary<long, Tuple<double, uint, List<float>>>>> RefguLoss;
if (NGFMEventGen.GenerateRITELoss(i))
{
NGFMguLoss = NGFMEventGen.GULosses;
}
else
{
throw new InvalidOperationException("Cannot get ground-up loss for event: " + i);
}
IVectorEvent RefguLoss = ReferenceEventGen.GenerateRITELoss(i);
stopwatch = new Stopwatch();
stopwatch.Start();
double ReferencePayout = Reference.Execute(conIndex, type, RefguLoss).TotalPayout;
stopwatch.Stop();
double ReferenceTime = Convert.ToDouble(stopwatch.ElapsedTicks) / MicroSecondTicks;
stopwatch.Reset();
stopwatch.Start();
double NGFMpayout = 0;
//double NGFMpayout = NGFM.ExecuteFM(NGFMguLoss)[conIndex];
RMS.ContractObjectModel.ResultPosition result = NGFM.ProcessEvent(i, NGFMguLoss, true, 1, new long[] { conIndex })[conIndex];
NGFMpayout = result.PayOut;
stopwatch.Stop();
double NGFMTime = Convert.ToDouble(stopwatch.ElapsedTicks) / MicroSecondTicks;
double diff = NGFMTime - ReferenceTime;
Console.WriteLine("Event ID: " + i + " || " + "NGFM: " + NGFMTime + " || " + "Reference: " + ReferenceTime + " || " + diff);
}
Console.WriteLine("total event = " + total);
Console.WriteLine("NGFM Graph Building Time = " + NGFMGraphTime);
Console.WriteLine("End at: " + DateTime.Now.ToString("h:mm:ss tt"));
Console.ReadLine();
}
private static void TestMatrixHDFM(PartitionData pd, long conID)
{
Stopwatch sw = new Stopwatch();
//Default SubSampling Settings
SubSamplingAnalysisSetting subSamplingSettings = new SubSamplingAnalysisSetting(false, 1, 0, 250, "", "");
PartitionDataAdpator PDataAdap = new PartitionDataAdpator(pd, subSamplingSettings);
ExposureDataAdaptor expData = PDataAdap.GetExposureAdaptor(conID);
ISubPerilConfig subperilInfo = new RMSSubPerilConfig();
HashSet <String> subperils = new HashSet <string> {
"WI"
};
IRITEindexMapper mapper = new RITEmapper1(expData, new RAPSettings(subperils), subperilInfo);
VectorGUInputGeneratorFactory vectorgeneratorFactory = new VectorGUInputGeneratorFactory(pd, subperils, TimeStyle.ConstantTimeStamps, LossStyle.GroundUp, true, subSamplingSettings);
VectorGUInputGenerator vectorGenerator = vectorgeneratorFactory.GetGeneratorForContract(conID);
FixedMatrixGraphJPTY JPTYGraph = new FixedMatrixGraphJPTY(expData);
JPTYGraph.Initialize();
MatrixGraphExecuter executer = new MatrixGraphExecuter(JPTYGraph);
int NumOfEvents = 100;
double totalTime = 0;
for (int eventId = 6; eventId < NumOfEvents; eventId++)
{
IVectorEvent Event = vectorGenerator.GenerateRITELoss(eventId);
sw.Start();
float payout = (float)(executer.Run(Event).TotalPayOut);
sw.Stop();
long test = sw.ElapsedMilliseconds;
//totalTime += sw.Elapsed.TotalMilliseconds;
}
double avgTime = sw.Elapsed.TotalMilliseconds / NumOfEvents;
double avgGraphState = executer.IniGraphState.Elapsed.TotalMilliseconds / NumOfEvents;
double avgAggregation = executer.Aggregation.Elapsed.TotalMilliseconds / NumOfEvents;
double avgInteraction = executer.Interaction.Elapsed.TotalMilliseconds / NumOfEvents;
double avgFillARite = executer.AssignGUtoARite.Elapsed.TotalMilliseconds / NumOfEvents;
double avgSumByPattern = executer.Aggregation1.Elapsed.TotalMilliseconds / NumOfEvents;
double avgAllocation = executer.Allocationtimer.Elapsed.TotalMilliseconds / NumOfEvents;
Console.WriteLine("For " + NumOfEvents + " Events avg execution time is "
+ avgTime + " Milliseconds");
Console.WriteLine("For" + NumOfEvents + "avg GraphState Instantiation is "
+ avgGraphState + "Milliseconds");
Console.WriteLine("For" + NumOfEvents + "avg Aggregation is "
+ avgAggregation + "Milliseconds");
Console.WriteLine("For" + NumOfEvents + "avg Interaction is "
+ avgInteraction + "Milliseconds");
Console.WriteLine("For" + NumOfEvents + "avg Assigning GU to Arites is "
+ avgFillARite + "Milliseconds");
Console.WriteLine("For" + NumOfEvents + "avg SumArrayByPattern is "
+ avgSumByPattern + "Milliseconds");
Console.WriteLine("For" + NumOfEvents + "avg allocation time is "
+ avgAllocation + "Milliseconds");
Console.ReadLine();
}
//public float Execute_For(int eventID, IVectorEvent Event)
//{
// ILossState lossState = new LossState(Graph);
// GULossInputEngine inputEngine = new GULossInputEngine(lossState, Graph, Event);
// inputEngine.Run();
// //lowest level, no children
// int i = Graph.NumOfLevels - 1;
// ILevelFinancialInfo thisLevelInfo = Graph.GetTermLevelInfo(i);
// int lowestlevelsize = Graph.GetAggLevelInfo(i).LevelSize;
// float[] codeDed = thisLevelInfo.GetCodedMinDeds().ToArray();
// float[] codeLim = thisLevelInfo.GetCodedLimits().ToArray();
// //allLevelState[i] = new LevelState(thisLevelInfo.LevelSize);
// //int currSeed = 31 + eventID;
// //var RandGen = new Random(currSeed);
// if (!thisLevelInfo.HasMaxDed && !thisLevelInfo.HasPercentDed)
// {
// for (int j = 0; j < lowestlevelsize; j++)
// {
// allLevelState[i].SubjectLoss[j] = guloss;
// allLevelState[i].Excess[j] = Math.Max(0, guloss - codeLim[j]);
// allLevelState[i].Deductible[j] = Math.Min(guloss, codeDed[j]);
// allLevelState[i].Recoverable[j] = allLevelState[i].SubjectLoss[j] - allLevelState[i].Excess[j] - allLevelState[i].Deductible[j];
// }
// }
// //upper levels
// for (i = Graph.NumOfLevels - 2; i >= 0; i--)
// {
// thisLevelInfo = Graph.GetTermLevelInfo(i);
// ILevelInfo childLevelInfo = Graph.GetTermLevelInfo(i + 1);
// float[] dedFromBelow;
// float[] excessFromBelow;
// float[] subjectLossFromBelow;
// float[] recovFromBelow;
// bool SimplyCopy = false;
// if (SimplyCopy)
// {
// dedFromBelow = allLevelState[i + 1].Deductible;
// excessFromBelow = allLevelState[i + 1].Excess;
// subjectLossFromBelow = allLevelState[i + 1].SubjectLoss;
// recovFromBelow = allLevelState[i + 1].Recoverable;
// }
// else
// {
// dedFromBelow = Utilities.SumArrayByPartitionUsingFor(allLevelState[i + 1].Deductible, childLevelInfo.GetAggregationPartitions());
// excessFromBelow = Utilities.SumArrayByPartitionUsingFor(allLevelState[i + 1].Excess, childLevelInfo.GetAggregationPartitions());
// subjectLossFromBelow = Utilities.SumArrayByPartitionUsingFor(allLevelState[i + 1].SubjectLoss, childLevelInfo.GetAggregationPartitions());
// recovFromBelow = Utilities.SumArrayByPartitionUsingFor(allLevelState[i + 1].Recoverable, childLevelInfo.GetAggregationPartitions());
// }
// codeDed = thisLevelInfo.GetCodedMinDeds().ToArray();
// codeLim = thisLevelInfo.GetCodedLimits().ToArray();
// allLevelState[i] = new LevelState(thisLevelInfo.LevelSize);
// if (!thisLevelInfo.HasMaxDed && !thisLevelInfo.HasPercentDed)
// {
// for (int j = 0; j < thisLevelInfo.LevelSize; j++)
// {
// allLevelState[i].SubjectLoss[j] = subjectLossFromBelow[j];
// allLevelState[i].Excess[j] = Math.Max(excessFromBelow[j], Math.Max(0, subjectLossFromBelow[j] - codeLim[j]));
// allLevelState[i].Deductible[j] = Math.Max(dedFromBelow[j], Math.Min(subjectLossFromBelow[j], codeDed[j]));
// allLevelState[i].Recoverable[j] = allLevelState[i].SubjectLoss[j] - allLevelState[i].Excess[j] - allLevelState[i].Deductible[j];
// float deltaD = allLevelState[i].Deductible[j] - dedFromBelow[j];
// if (deltaD >= 0)
// {
// allLevelState[i].AllocateRatioR[j] = 1 - deltaD / recovFromBelow[j];
// allLevelState[i].AllocateRatioD[j] = 1;
// }
// else
// {
// allLevelState[i].AllocateRatioR[j] = 1;
// allLevelState[i].AllocateRatioD[j] = 1 - deltaD / dedFromBelow[j];
// }
// }
// }
// }
// Graph.AllLevelState = allLevelState;
// return allLevelState[0].Recoverable[0];
//}
//test:delete later
//public float Run(IVectorEvent Event)
public MatrixResultOutput Run(IVectorEvent Event)
{
MatrixResultOutput output = new MatrixResultOutput();
//this is to store (utlitmately output) the total GU loss for all top Term Level SubjectLoss + LowestCoverLevel's ResidualRites SubjectLoss
//the loss is accumulated throught each term level and the lowest cover level
float TotalGULoss = 0;
IniGraphState.Start();
IGraphState graphState = new GraphState(Graph);
IniGraphState.Stop();
//Get GU
AssignGUtoARite.Start();
GULossInputEngine inputEngine = new GULossInputEngine(graphState, Graph, Event);
inputEngine.Run();
AssignGUtoARite.Stop();
//Get Factors
FactorInputEngine factorEngine = new FactorInputEngine(graphState, Graph, Event);
factorEngine.Run();
float[] FactorVector = Event.Factors; //this is for TotalCoverState, only used to aggregate Cover Levels
//If there is no term, only covers, we get lowest atomic rites, then return;
//float topLevelPayout =0;
if (Graph.NumOfLevels > 1)
{
//Check Contract level Ded and Sublimit Type (Absorbabel or Net of Deductible), and choose the correct Term Engine
//which will have diff method to apply interaction
bool NetOfDeductible = Graph.ContractInfo.SublimitIsNetOfDeductible;
bool DedIsAbsorbable = Graph.ContractInfo.DedIsAbsorbable;
ITermEngine TermEngine;
if (NetOfDeductible && DedIsAbsorbable)
{
TermEngine = new TermEngine1();
}
else if (!NetOfDeductible && !DedIsAbsorbable)
{
TermEngine = new TermEngine4();
}
else if (NetOfDeductible && !DedIsAbsorbable)
{
TermEngine = new TermEngine3();
}
else
{
TermEngine = new TermEngine2();
}
#region Sunny Test max possible speed//// delete/comment out now! Or ask Sunny !!!!!!!
//double[] covA_Alloc = ConverterForTestRun(graphState.GetARITELevelState(2).GetSubjectLoss());
//double[] covC_Alloc = ConverterForTestRun(graphState.GetARITELevelState(3).GetSubjectLoss());
//SunnyTesttimer.Start();
////double payout = TestRunDouble(covA_Alloc, covC_Alloc);
//double payout = TestRun(graphState);
//SunnyTesttimer.Stop();
#endregion
//Loop through all levels in Graph
IAggregator Aggregator = new Aggregator1();
int lowestlevel = Graph.LowestLevel;
for (int i = lowestlevel; i > 0; i--)
{
Aggregation.Start();
ILevelState parentTermLevelState = graphState.GetTermLevelState(i - 1);
ILevelAtomicRITEInfo childaRITEInfo = Graph.GetAtomicRITEInfo(i);
ISimpleLevelState childaRITELevelState = graphState.GetARITELevelState(i);
//Aggregate level to parents
if (i == lowestlevel)
{
Aggregator.AggregateLevel(childaRITELevelState, parentTermLevelState, childaRITEInfo);
//TotalGULoss += childaRITELevelState.GetSubjectLoss().Zip(childaRITELevelState.GetFactors(), (x1, x2) => x1*x2).Sum();
}
else
{
ILevelNodeAggInfo childNodeAggInfo = Graph.GetNodeAggInfo(i);
ILevelState childTermLevelState = graphState.GetTermLevelState(i);
Aggregator.AggregateLevel(childTermLevelState, childaRITELevelState, parentTermLevelState, childNodeAggInfo, childaRITEInfo, aggregation1);
//TotalGULoss += childaRITELevelState.GetSubjectLoss().Zip(childaRITELevelState.GetFactors(), (x1, x2) => x1 * x2).Sum();
}
Aggregation.Stop();
//Do GULoss
if (i == 1)
{
TotalGULoss += parentTermLevelState.GetSubjectLoss().Zip(parentTermLevelState.GetFactors(), (x1, x2) => x1 * x2).Sum();
}
//Apply finacial terms to level
Interaction.Start();
ILevelFinancialInfo parentlevelFinInfo = Graph.GetTermLevelInfo(i - 1);
ILevelNodeAggInfo parentlevelaggInfo = Graph.GetNodeAggInfo(i - 1);
bool HasMaxDed = Graph.GetTermLevelInfo(i - 1).HasMaxDed;
bool HasFranchise = Graph.GetTermLevelInfo(i - 1).HasFranchiseDed;
if (i == lowestlevel)
{
TermEngine.InteractionOnLowestTermLevel(parentTermLevelState, parentlevelFinInfo, parentlevelaggInfo.NumOfNodes);
}
else
{
TermEngine.ApplyInteraction(parentTermLevelState, parentlevelFinInfo, parentlevelaggInfo.NumOfNodes);
}
Interaction.Stop();
}
//float topLevelPayout = graphState.GetTermLevelState(0).GetRecoverable()[0];
//topLevelPayout = graphState.GetTermLevelState(0).GetRecoverable().Sum();
//Allocate & loop through each level to get AriteR
MatrixGraphAllocation Allocator = new MatrixGraphAllocation(Graph, graphState);
allocationtimer.Start();
Allocator.Run();
allocationtimer.Stop();
//float AllocatedFinalPayout = 0;
//for (int i = 0; i <= lowestlevel; i++)
//{
// float[] AriteR = graphState.GetARITELevelState(i).GetRecoverable();
// AllocatedFinalPayout += AriteR.Sum();
//}
//topLevelPayout = AllocatedFinalPayout;
}
//else
//{
// ISimpleLevelState childaRITELevelState = graphState.GetARITELevelState(0);
// topLevelPayout = childaRITELevelState.GetSubjectLoss().Sum();
//}
//Execute covers after terms:
int lowestCoverLevel = Graph.LowestCoverLevel;
int NumOfCoverLevels = Graph.NumOfCoverLevels;
ICoverLevelResiduleInfo ResiduleInfo = Graph.GetCoverResiduleInfo();
ICoverLevelTermAriteInfo AriteInfo = Graph.GetCoverAriteInfo();
ICoverState ResiduleState = graphState.GetLowestCoverLevelResiduleState();
ICoverState AriteState = graphState.GetLowestCoverLevelAriteState();
ICoverState TotalCoverState = graphState.GetTotalCoverState();
ICoverAggregator CoverAggregator = new CoverAggregator();
//int StartPosition=0;
//int EndPosition = Graph.GetCoverNodeAggInfo(Graph.LowestCoverLevel).NumOfNodes;
int CalculationStartPosition = 0;
int ParentStartPosition = Graph.GetCoverNodeAggInfo(Graph.LowestCoverLevel + 1).NumOfNodes;
int TopCoverLevel = lowestCoverLevel + NumOfCoverLevels;
float TotalPayout = 0;
//Get Subject Loss for the lowest cover level (GU & Recoverable)
CoverInputEngine CoverinputEngine = new CoverInputEngine(graphState, Graph, Event);
CoverinputEngine.Run();
for (int i = lowestCoverLevel; i < TopCoverLevel; i++)
{
//Aggregation:
if (i == lowestCoverLevel)
{
CoverAggregator.AggregateLowestLevel(ResiduleInfo, AriteInfo, ResiduleState, AriteState, TotalCoverState, graphState.GetLowestCoverLevelAriteAllocationRatio(), graphState.GetLowestCoverLevelResidualAllocationRatio());
TotalGULoss += ResiduleState.GetSubjectLoss().Zip(ResiduleState.GetFactors(), (x1, x2) => x1 * x2).Sum();
}
else
{
ICoverAllocationState currLevelAllocationRatio = graphState.GetCoverLevelAllocationRatioState(i);
ICoverLevelNodeAggInfo ChildrenLevelAggInfo = Graph.GetCoverNodeAggInfo(i);
IDerivedCoverLevelNodeAggInfo DerivedInfo = Graph.GetDerivedCoverNodeAggInfo(i + 1);
CoverAggregator.AggregateLevel(ParentStartPosition, TotalCoverState, ChildrenLevelAggInfo, DerivedInfo, currLevelAllocationRatio, FactorVector);
ParentStartPosition += Graph.GetCoverNodeAggInfo(i + 1).NumOfNodes;
}
//Apply Financial Terms to parent level
ICoverLevelFinancialInfo ParentLevelFinInfo = Graph.GetCoverLevelInfo(i + 1);
ICoverEngine CoverEngine = new CoverEngine();
int[] LeafTopCoverList = Graph.GetCoverNodeAggInfo(lowestCoverLevel + 1).GetLeafTopCoverList();
if (i != TopCoverLevel - 1)
{
CoverEngine.ApplyCoverLayer(ParentLevelFinInfo, CalculationStartPosition, TotalCoverState);
}
else
{
TotalPayout = CoverEngine.ApplyTopCoverLayer(ParentLevelFinInfo, CalculationStartPosition, TotalCoverState, LeafTopCoverList, FactorVector);
}
//Reset Position for next loop
CalculationStartPosition = ParentStartPosition;
}
//Allocate cover graph payout
coverAllocationtimer.Start();
MatrixCoverGraphAllocation CoverAllocator = new MatrixCoverGraphAllocation(Graph, graphState);
CoverAllocator.Run();
coverAllocationtimer.Stop();
output.TotalGULoss = TotalGULoss;
output.TotalPayOut = TotalPayout;
//combine allocated Residual loss&indicies and Arite loss&indicies for output
output.RiteGULossIndicies = (Graph.GetCoverAriteInfo().GetAriteGULossIndicies()).Concat(Graph.GetCoverResiduleInfo().GetGULossIndicies()).ToArray();
output.AllocatedRitePayout = (graphState.GetLowestCoverLevelAriteState().GetAllocatedPayout()).Concat(graphState.GetLowestCoverLevelResiduleState().GetAllocatedPayout()).ToArray();
return(output);
//return TotalPayout;
//return topLevelPayout;
//Need to get Final Payout for cover....
#region Delete Later
//allLevelState[i] = new LevelState(thisLevelInfo.LevelSize);
//int currSeed = 31 + eventID;
//var RandGen = new Random(currSeed);
//float[] subjectloss = new float[thisLevelSize];
//Array.Copy(Graph.AllLevelState[lowestlevel].SubjectLoss, subjectloss, thisLevelSize);
//float[] excess = new float[thisLevelSize];
//float[] ded = new float[thisLevelSize];
//float[] recov = new float[thisLevelSize];
//if (!thisLevelInfo.HasMaxDed && !thisLevelInfo.HasPercentDed)
//{
// for (int j = 0; j < thisLevelSize; j++)
// {
// //float guloss = (float)(RandGen.NextDouble());
// //guloss = guloss * 1000000;
// //float guloss = Event.LossVector[thisLevelInfo.GetAtomicRITEIndicies().ToArray()[j]];
// float guloss = subjectloss[j];
// excess[j] = Math.Max(0, guloss - codeLim[j]);
// ded[j] = Math.Min(guloss, codeDed[j]);
// recov[j] = subjectloss[j] - excess[j] - ded[j];
// //allLevelState[i].SubjectLoss[j] = guloss;
// //allLevelState[i].Excess[j] = Math.Max(0, guloss - codeLim[j]);
// //allLevelState[i].Deductible[j] = Math.Min(guloss, codeDed[j]);
// //allLevelState[i].Recoverable[j] = allLevelState[i].SubjectLoss[j] - allLevelState[i].Excess[j] - allLevelState[i].Deductible[j];
// }
// Array.Copy(subjectloss, allLevelState[lowestlevel].SubjectLoss, thisLevelSize);
// Array.Copy(excess, allLevelState[lowestlevel].Excess, thisLevelSize);
// Array.Copy(ded, allLevelState[lowestlevel].Deductible, thisLevelSize);
// Array.Copy(recov, allLevelState[lowestlevel].Recoverable, thisLevelSize);
//}
// thisLevelInfo = Graph.GetTermLevelInfo(i);
// ILevelInfo childLevelInfo = Graph.GetTermLevelInfo(i + 1);
// thisLevelSize = thisLevelInfo.LevelSize;
// float[] dedFromBelow;
// float[] excessFromBelow;
// float[] subjectLossFromBelow;
// float[] recovFromBelow;
// float[] rRatio = new float[thisLevelSize];
// float[] dRatio = new float[thisLevelSize];
// subjectloss = new float[thisLevelSize];
// excess = new float[thisLevelSize];
// ded = new float[thisLevelSize];
// recov = new float[thisLevelSize];
// bool SimplyCopy = true;
// if (SimplyCopy)
// {
// dedFromBelow = allLevelState[i + 1].Deductible;
// excessFromBelow = allLevelState[i + 1].Excess;
// subjectLossFromBelow = allLevelState[i + 1].SubjectLoss;
// recovFromBelow = allLevelState[i + 1].Recoverable;
// }
// else
// {
// dedFromBelow = SumArrayByPartition(allLevelState[i + 1].Deductible, childLevelInfo.GetAggregationPartitions());
// excessFromBelow = SumArrayByPartition(allLevelState[i + 1].Excess, childLevelInfo.GetAggregationPartitions());
// subjectLossFromBelow = SumArrayByPartition(allLevelState[i + 1].SubjectLoss, childLevelInfo.GetAggregationPartitions());
// recovFromBelow = SumArrayByPartition(allLevelState[i + 1].Recoverable, childLevelInfo.GetAggregationPartitions());
// }
// codeDed = thisLevelInfo.GetCodedMinDeds().ToArray();
// codeLim = thisLevelInfo.GetCodedLimits().ToArray();
// allLevelState[i] = new LevelState(thisLevelInfo.LevelSize);
// if (!thisLevelInfo.HasMaxDed && !thisLevelInfo.HasPercentDed)
// {
// for (int j = 0; j < thisLevelSize; j++)
// {
// subjectloss[j] = subjectLossFromBelow[j];
// excess[j] = Math.Max(excessFromBelow[j], Math.Max(0, subjectLossFromBelow[j] - codeLim[j]));
// ded[j] = Math.Max(dedFromBelow[j], Math.Min(subjectLossFromBelow[j], codeDed[j]));
// recov[j] = subjectloss[j] - excess[j] - ded[j];
// float deltaD = allLevelState[i].Deductible[j] - dedFromBelow[j];
// if (deltaD >= 0)
// {
// rRatio[j] = 1 - deltaD / recovFromBelow[j];
// dRatio[j] = 1;
// }
// else
// {
// rRatio[j] = 1;
// dRatio[j] = 1 - deltaD / dedFromBelow[j];
// }
// }
// Array.Copy(subjectloss, allLevelState[i].SubjectLoss, thisLevelSize);
// Array.Copy(excess, allLevelState[i].Excess, thisLevelSize);
// Array.Copy(ded, allLevelState[i].Deductible, thisLevelSize);
// Array.Copy(recov, allLevelState[i].Recoverable, thisLevelSize);
// Array.Copy(rRatio, allLevelState[i].AllocateRatioR, thisLevelSize);
// Array.Copy(dRatio, allLevelState[i].AllocateRatioD, thisLevelSize);
// }
//}
//Array.Copy(allLevelState, Graph.AllLevelState, Graph.NumOfLevels);
#endregion
}
public Dictionary <string, Dictionary <int, Dictionary <long, Tuple <double, uint, List <float> > > > > VectorToDict(IVectorEvent drLossEvent)
{
Dictionary <string, Dictionary <int, Dictionary <long, Tuple <double, uint, List <float> > > > > guLossDict = new Dictionary <string, Dictionary <int, Dictionary <long, Tuple <double, uint, List <float> > > > >();
throw new NotImplementedException();
}
