public override void Ready()
{
Body = (KinematicBody)parent.GetParent();
// Make body able to collide with grass.
Body.SetCollisionMaskBit(1, true);
Area area = (Area)Body.GetNode("Area");
// Body collides with layers 0 and 1. Having body's mask match area's layer when they overlap and the area gets removed causes a Godot bug,
// so disable that.
area.SetCollisionLayerBit(0, false);
area.SetCollisionLayerBit(31, true);
strategies = new List <BaseStrategy>();
eatStrategy = new EatStrategy(this);
breedStrategy = new BreedStrategy(this);
strategies.Add(eatStrategy);
strategies.Add(breedStrategy);
state = null;
parent.RegisterListener("terrainInterference", OnTerrainInterference);
Body.AddToGroup("animals");
Body.AddToGroup("alive");
foreach (BaseStrategy strategy in strategies)
{
strategy.Ready();
}
terrain = parent.GetNode(Game.TERRAIN_PATH) as Terrain;
}
public CreatureCreationContext GenerateContext(byte[] genes)
{
LoadPositions(genes);
if (genes.Length == 0)
{
throw new InvalidOperationException("0 length genomes not accepted");
}
int startingEnergy = genes [genes [Positions [GenePosition.StartEnergyPosition] % genes.Length] % genes.Length];
int maxEnergy = genes [genes [Positions [GenePosition.MaxEnergyPosition] % genes.Length] % genes.Length];
double energyExtractionRatio = (double)genes [genes [Positions [GenePosition.EnergyExtractionRationPosition] % genes.Length] % genes.Length] / 255;
int costOfDigestion = Math.Max((byte)1, genes [genes [Positions [GenePosition.CostOfDigestionRatioPosition] % genes.Length] % genes.Length]);
int costOfEnzymeProcessing = Math.Max((byte)1, genes [genes [Positions [GenePosition.CostOfEnzymeProcessingPosition] % genes.Length] % genes.Length]);
int lengthOfEnzymeChain = Math.Max((byte)1, genes [genes [Positions [GenePosition.LengthOfEnzymeChainPosition] % genes.Length] % genes.Length]);
int startOfEnzymeChainPosition = genes [genes [Positions [GenePosition.StartOfEnzymeChainPosition] % genes.Length] % genes.Length];
int decisionSeed_Eat = genes [genes [Positions [GenePosition.DecisionSeedPosition_Eat] % genes.Length] % genes.Length];
int decisionPredicateIndex_Eat = genes [genes [Positions [GenePosition.DecisionPredicateIndexPosition_Eat] % genes.Length] % genes.Length];
int decisionPredicateCount_Eat = genes [genes [Positions [GenePosition.DecisionPredicateCountPosition_Eat] % genes.Length] % genes.Length];
int decisionPredicateRandomGeneValueCount_Eat = genes [genes [Positions [GenePosition.DecisionPredicateRandomGeneValueCount_Eat] % genes.Length] % genes.Length];
EatStrategy diningMethod = (EatStrategy)(genes [genes [Positions [GenePosition.DiningMethodPosition] % genes.Length] % genes.Length]
% Enum.GetValues(typeof(EatStrategy)).Length);
CreatureCreationContext context = new CreatureCreationContext();
context.Energy = startingEnergy;
context.EnergyMaximum = maxEnergy;
context.EnergyExtractionRatio = energyExtractionRatio;
context.DecisionRandomSeed_Eat = (byte)decisionSeed_Eat;
context.DecisionPredicateCount_Eat = decisionPredicateCount_Eat;
context.DecisionPredicateIndex_Eat = decisionPredicateIndex_Eat;
context.DecisionPredicate_RandomGeneValueCount_Eat = decisionPredicateRandomGeneValueCount_Eat % 5;
context.DiningMethod = diningMethod;
context.CostOfDigestion = costOfDigestion;
context.CostOfEnzymeProcessing = costOfEnzymeProcessing;
context.Enzymes = new System.Collections.Generic.List <byte> ();
context.Code = genes;
int cursor = startOfEnzymeChainPosition;
while (context.Enzymes.Count < lengthOfEnzymeChain)
{
context.Enzymes.Add(genes [genes [cursor % genes.Length] % genes.Length]);
cursor++;
}
return(context);
}
