public void TrainCharacterForFiveYear(Character characterToTrain)
{
PersonalTrainer trainer = new PersonalTrainer(new ItemLinkFactory());
trainer.OneMonthTrained += TrainerOnOneMonthTrained;
trainer.TrainForXNumberOfYears(characterToTrain, 5);
TrainingComplete?.Invoke(this, characterToTrain);
}
/// <summary>
/// Trains a character for one year
/// </summary>
/// <param name="charactertoTrain"></param>
/// <param name="characterArchetype"></param>
/// <returns></returns>
private static StatisticalResults TrainCharacterFor10Years(global::RNPC.Core.Character charactertoTrain, Archetype characterArchetype)
{
//ARRANGE
var preTrainingQs = charactertoTrain.MyTraits.GetPersonalQualitiesValues();
int numberOfPretrainingValues = charactertoTrain.MyTraits.PersonalValues.Count;
Stopwatch timer = new Stopwatch();
timer.Start();
PersonalTrainer trainer = new PersonalTrainer(new ItemLinkFactory());
//ACT
trainer.TrainForXNumberOfYears(charactertoTrain, 10);
//ASSERT
timer.Stop();
int qualitiesModified = 0;
int increaseDelta = 0;
int decreaseDelta = 0;
foreach (var quality in charactertoTrain.MyTraits.GetPersonalQualitiesValues())
{
if (quality.Value == preTrainingQs[quality.Key])
{
continue;
}
qualitiesModified++;
if (quality.Value > preTrainingQs[quality.Key])
{
increaseDelta += quality.Value - preTrainingQs[quality.Key];
}
else
{
decreaseDelta = preTrainingQs[quality.Key] - quality.Value;
}
}
StatisticalResults results = new StatisticalResults
{
Archetype = characterArchetype.ToString(),
YearsofTraining = 10,
TrainingTime = timer.ElapsedMilliseconds / 1000,
ValuesAdded = charactertoTrain.MyTraits.PersonalValues.Count - numberOfPretrainingValues,
QualitiesModified = qualitiesModified,
QualityIncrease = increaseDelta,
QualityDecrease = decreaseDelta,
DecisionTreesModified = GetNumberOfRecentlyChangedDecisionTrees(charactertoTrain.MyName)
};
return(results);
}