public GeneratorData GetAverageStatistics(DataSplit dataSplit)
{
var data = generatorData
.Skip(Math.Min(generatorData.Count - 1, (int)(generatorData.Count * dataSplit.Start)))
.Take(Math.Max(1, (int)(generatorData.Count * (dataSplit.End - dataSplit.Start))))
.ToList();
var averageData = new GeneratorData();
for (int i = 0; i < data[0].ChainsStats.Count; i++)
{
averageData.ChainsStats.Add(new ChainStats()
{
AttemptsOnSuccess = data.Average(x => x.ChainsStats[i].AttemptsOnSuccess),
FailedRuns = data.Average(x => x.ChainsStats[i].FailedRuns),
RandomRestarts = data.Average(x => x.ChainsStats[i].RandomRestarts),
OutOfIterations = data.Average(x => x.ChainsStats[i].OutOfIterations),
Iterations = data.Average(x => x.ChainsStats[i].Iterations),
MaxIterationsOnSuccess = data.Max(x => x.ChainsStats[i].MaxIterationsOnSuccess),
AverageIterationsOnSuccess = data.Average(x => x.ChainsStats[i].AverageIterationsOnSuccess),
AverageStageTwoFailuresOnSuccess = data.Average(x => x.ChainsStats[i].AverageStageTwoFailuresOnSuccess),
MaxStageTwoFailuresOnSuccess = data.Max(x => x.ChainsStats[i].MaxStageTwoFailuresOnSuccess),
});
}
averageData.Iterations = data.Average(x => x.Iterations);
averageData.Time = data.Average(x => x.Time);
return(averageData);
}
private GeneratorData AnalyzeRun(IGeneratorRun <TRunData> run)
{
var generatorData = new GeneratorData()
{
Iterations = run.Iterations,
Time = run.Time,
};
var simulatedAnnealingEvents = run.AdditionalData.SimulatedAnnealingEventArgs;
var chainsCount = simulatedAnnealingEvents.Max(x => x.ChainNumber) + 1;
for (int i = 0; i < chainsCount; i++)
{
generatorData.ChainsStats.Add(AnalyzeChain(i, simulatedAnnealingEvents));
}
return(generatorData);
}
