WeightedRandomBuffer <CurrencyData> getDogSpecialGiftChances(DogDescriptor dog)
{
float affectionFraction;
/*
* Affection determines whether dog can return souvenir
* IF dog already hsa souvenir, assume affection is 0
* (no chance of returning souvenir)
*/
if (eligibleForSouvenir(dog))
{
affectionFraction = dog.FractionOfMaxAffection;
}
else
{
affectionFraction = k.NONE_VALUE;
}
CurrencyData[] specialGiftOptions = giftFactory.CreateGroup(tuning.SpecialGiftTypes);
float[] specialGiftOdds = new float[specialGiftOptions.Length];
for (int i = 0; i < specialGiftOdds.Length; i++)
{
specialGiftOdds[i] = Mathf.Lerp(
tuning.SpecialGiftMinAffectionChances[i],
tuning.SpecialGiftMaxAffectionChances[i],
affectionFraction);
// Check to prevent a DogVoucher from being given out if all dogs have already been adopted:
if (specialGiftOptions[i] is DogVoucherData && dataController.AllDogsAdopted(DogDatabase.GetInstance))
{
specialGiftOdds[i] = k.NONE_VALUE;
}
}
return(new WeightedRandomBuffer <CurrencyData>(specialGiftOptions, specialGiftOdds));
}
WeightedRandomBuffer <CurrencyData> populateGifts(
string[] giftTypes,
int[] giftAmounts,
float[] giftChances,
float discountPercent)
{
ParallelArray <string, int> giftData = new ParallelArray <string, int>(giftTypes, giftAmounts);
CurrencyFactory giftFactory = new CurrencyFactory();
CurrencyData[] gifts = giftFactory.CreateGroup(giftData, discountPercent);
return(new WeightedRandomBuffer <CurrencyData>(gifts, giftChances));
}