/// <summary>
/// Returns a prediction of the opponent's hand cards, i.e. set of cards and there probability,
/// based on the bi-gram map and cards which haven been played the opponent.
/// </summary>
/// <param name="cardCount">the number of sets which will by predicted</param>
/// <param name="simulationGame">the game the prediction is performed on</param>
/// <param name="playedCards">the cards which have been played by the opponent</param>
/// <param name="boardCards">the board cards of the opponent</param>
/// <param name="classPrediction">the prediction of the deck classes of the opponent</param>
/// <returns>the set of cards and there probability</returns>
private List <PredictedCards> predictCards(int cardCount, POGame.POGame simulationGame, PlayedCards playedCards,
BoardCards boardCards, Dictionary <CardClass, double> classPrediction)
{
List <Dictionary <string, double> > occMaps = getOccurenceMaps(playedCards);
var combinedOccMap = new Dictionary <string, double>();
foreach (Dictionary <string, double> occMap in occMaps)
{
occMap.ToList().ForEach(o => {
string cardId = o.Key;
double cardValue = o.Value;
if (combinedOccMap.ContainsKey(cardId))
{
// greedy approach
if (combinedOccMap[cardId] < cardValue)
{
combinedOccMap[cardId] = cardValue;
}
}
else
{
combinedOccMap.Add(cardId, cardValue);
}
});
}
Dictionary <Card, double> playableCards = convertToCardMap(combinedOccMap, classPrediction);
// get number of cards in relation to the class distribution of already drawn cards
var tempPredictedCardGroups = new List <PredictedCards>();
classPrediction.ToList().ForEach(c =>
{
// filter cards if they have already been exhausted or not
var filterdPlayableCards = new PredictedCards(
playableCards.Where(p => p.Key.Class == c.Key)
.Where(p =>
{
if (p.Key.Rarity == Rarity.LEGENDARY)
{
return(boardCards.Cards
.Count(b => b == p.Key) < 1);
}
else
{
return(boardCards.Cards
.Count(b => b == p.Key) < 2);
}
}).ToList());
int share = (int)(c.Value * cardCount);
var predictedCards = new PredictedCards(filterdPlayableCards
.CardEntries.Take(share)
.ToList());
tempPredictedCardGroups.Add(predictedCards);
});
var combinedPredictedCards = new PredictedCards(
tempPredictedCardGroups.SelectMany(g => g.CardEntries)
.ToList());
double sum = combinedPredictedCards.Sum;
var predictedCardGroups = new List <PredictedCards>();
foreach (PredictedCards group in tempPredictedCardGroups)
{
var newGroup = new PredictedCards();
group.CardEntries
// sort list
.OrderByDescending(c => c.Value)
.ToList().ForEach(c => newGroup.Add(c.Key, (c.Value / sum)));
predictedCardGroups.Add(newGroup);
}
return(predictedCardGroups);
}
public void AddPredictedCard(string cardId) => PredictedCards.Add(cardId);