override public float Evaluate(SVDataPacket data)
{
float Result = 0;
foreach (var Code in Children)
{
Result = Code.Evaluate(data);
}
return(Result);
}
public float Evaluate(SVDataPacket data)
{
if (Head.GetType() == typeof(End))
{
return(0);
}
else
{
return(Head.Evaluate(data));
}
}
override public float Evaluate(SVDataPacket data)
{
if (Children[0].Evaluate(data) > 0)
{
return(Children[1].Evaluate(data));
}
else
{
return(0);
}
}
override public float Evaluate(SVDataPacket data)
{
//if (data.d0.Any(d => d.GetValue() == 0))
//{
// return 0;
//}
//else
//{
var x = data.d0.Sum(d => d.GetValue());
return(x);
//}
}
override public float Evaluate(SVDataPacket data)
{
bool d0 = false;
bool d1 = false;
if (data.d0 != null)
{
d0 = data.d0.Any(d => d.GetValue() > 0);
}
if (data.d1 != null)
{
d1 = data.d1.Any(d => d.GetValue() > 0);
}
return((d0 || d1) ? 1 : 0);
}
override public float Evaluate(SVDataPacket data)
{
Profiler.BeginSample("move towards");
var Op0 = Children[0].Evaluate(data);
if (Op0 == 0)
{
Profiler.EndSample();
return(0);
}
var Op1 = Children[1].Evaluate(data);
var Op2 = Children[2].Evaluate(data);
Profiler.EndSample();
return(Op0 + (Op1 - Op0) / (Op1 / Op2));
}
public IEnumerator FailTrue()
{
var SV = new SVRule(new List <IOpCode>
{
new Output(),
new True(),
new Suscept(),
new MoveTowards(),
new TwoFiveFive(),
new SixtyFour()
});
var DataPacket = new SVDataPacket
{
NeuronOutput = 0,
Susceptibility = 1
};
var Result = SV.Evaluate(DataPacket);
Assert.AreEqual(0, Mathf.RoundToInt(Result));
yield return(null);
}
override public float Evaluate(SVDataPacket data)
{
return(data.State);
}
override public float Evaluate(SVDataPacket data)
{
//TODO
return(0);
}
override public float Evaluate(SVDataPacket data)
{
return(data.d1.Sum(d => d.GetValue()));
}
override public float Evaluate(SVDataPacket data)
{
return(Children[0].Evaluate(data) + Children[1].Evaluate(data));
}
override public float Evaluate(SVDataPacket data)
{
return(255);
}
override public float Evaluate(SVDataPacket data)
{
return(data.Susceptibility);
}
override public float Evaluate(SVDataPacket data)
{
return(data.Result);
}
public abstract float Evaluate(SVDataPacket data);
override public float Evaluate(SVDataPacket data)
{
return(UnityEngine.Random.Range(Children[0].Evaluate(data), Children[1].Evaluate(data)));
}
override public float Evaluate(SVDataPacket data)
{
return(data.NeuronOutput);
}
