public PrizeSelectionsForSuccessInfo GetResultsForPullsUntilSuccessSubset(IDictionary <int, int> successCriteria,
IList <SelectionDomain> selectionDomains, int subsetSize, Random random = null)
{
PrizeSelectionsForSuccessInfo successInfo = new PrizeSelectionsForSuccessInfo();
int trials = 100; //harcoded so user can't DOS
IList <int> selectionsRequiredForTrialSuccess = new List <int>();
for (int trial = 0; trial < trials; trial++)
{
IList <PrizeResultRow> trialCombinedPrizeResultsTable = new List <PrizeResultRow>(); //initialize; this will get overwritten in first trial
if (random == null)
{
random = new Random();
}
int counter = 1;
do
{
IList <PrizeResultRow> localPrizeResultsTable = _selectionEngine.SelectPrizes(selectionDomains, random);
if (counter == 1)
{
trialCombinedPrizeResultsTable = localPrizeResultsTable;
}
else
{
trialCombinedPrizeResultsTable =
_prizeResultsTableHelper.CombinePrizeResultTables(trialCombinedPrizeResultsTable, localPrizeResultsTable);
}
if (DoPrizeResultsMeetSuccessCriteriaSubset(trialCombinedPrizeResultsTable, successCriteria, subsetSize))
{
selectionsRequiredForTrialSuccess.Add(counter);
break;
}
counter++;
} while (true);
}
;
//now that all the trials have recorded the number of pulls required to succeed, we can calculate the statistics
successInfo.TrialsConducted = trials;
successInfo.MinSelectionsRequired = selectionsRequiredForTrialSuccess.Min();
successInfo.MaxSelectionsRequired = selectionsRequiredForTrialSuccess.Max();
successInfo.MeanSelectionsRequired = selectionsRequiredForTrialSuccess.Average();
successInfo.ModeSelectionsRequired = GetModeFromList(selectionsRequiredForTrialSuccess);
successInfo.MedianSelectionsRequired = GetMedianFromList(selectionsRequiredForTrialSuccess);
return(successInfo);
}
public IActionResult GetResultsForPullsUntilSuccess([FromBody] D.SuccessCalculationInput successCalculationInput)
{
D.PrizeSelectionsForSuccessInfo result = new D.PrizeSelectionsForSuccessInfo();
if (successCalculationInput.SuccessCriteria != null && successCalculationInput.SuccessCriteria.Any() &&
successCalculationInput.SelectionDomains != null && successCalculationInput.SelectionDomains.Any())
{
IList <SelectionDomain> selectionDomainModels = _mapper.Map <IList <SelectionDomain> >(successCalculationInput.SelectionDomains);
PrizeSelectionsForSuccessInfo successModel = _selectionSuccessCalculator.GetResultsForPullsUntilSuccess(successCalculationInput.SuccessCriteria, selectionDomainModels);
result = _mapper.Map <D.PrizeSelectionsForSuccessInfo>(successModel);
}
return(new ObjectResult(result));
}
