protected static float Eps(IVRiscuitObject a, IVRiscuitObject b, IVRiscuitObject x, IVRiscuitObject y, ScoreCoefficient ef)
{
var ab = Norm(a, b);
var xy = Norm(x, y);
if (ab == 0)
{
return(0);
}
var result = (float)(1 - Math.Exp(-ef.EpsWeight1 / Math.Pow(ab /*+ xy*/ + ef.EpsWeight2, 2)));
#if UNITY_EDITOR
// Debug.Log(String.Format("Eps({0}, {1}, {2}, {3}) = {4}", a.Type, b.Type, x.Type, y.Type, result));
#endif
return(result);
}
protected static float[] CalcTwoObjectSimilarityparameters(IVRiscuitObject a, IVRiscuitObject b, IVRiscuitObject x, IVRiscuitObject y, ScoreCoefficient ef)
{
var eps = Eps(a, b, x, y, ef);
var max = ef.NormWeight + eps * (ef.RdirWeight1 + ef.RdirWeight2) + ef.AngleWeight;
var score = new float[] {
ef.NormWeight *Delta(Norm(a, b), Norm(x, y), ef.NormLeveling),
ef.RdirWeight1 *eps *Delta(Rdir(a, b), Rdir(x, y), ef.RdirLeveling1),
ef.RdirWeight2 *eps *Delta(Rdir(b, a), Rdir(y, x), ef.RdirLeveling2),
ef.AngleWeight *Delta3(Angle(a, b), Angle(x, y), ef.AngleLeveling),
max
};
return(score);
}
/// <summary>
/// Rule上のオブジェクトとフィールドのオブジェクトがどれだけ近い関係にあるかを計算
/// </summary>
/// <param name="ruleObjectSet"></param>
/// <param name="fieldObjectSet"></param>
/// <param name="ef"></param>
/// <returns></returns>
public static float[] CalcScore(IVRiscuitObjectSet ruleObjectSet, IVRiscuitObjectSet fieldObjectSet, ScoreCoefficient ef)
{
var score = 0.0f;
var max = 0.0f;
var ruleObjectList = ruleObjectSet.ObjectArray;
var fieldObjectList = fieldObjectSet.ObjectArray;
var len = fieldObjectList.Length;
if (len == 1)
{
return(new float[] { 10, 10 });
}
for (int i = 0; i < len - 1; i++)
{
for (int j = i + 1; j < len; j++)
{
var fs = CalcTwoObjectSimilarity(ruleObjectList[i], ruleObjectList[j],
fieldObjectList[i], fieldObjectList[j], ef);
score += fs[0];
max += fs[1];
}
}
return(new float[] { score, max });
}
/// <summary>
/// a,bは必ずルール内のオブジェクトなので、ルール中は不変
/// </summary>
/// <param name="a"></param>
/// <param name="b"></param>
/// <param name="x"></param>
/// <param name="y"></param>
/// <param name="ef"></param>
/// <returns></returns>
public static float[] CalcTwoObjectSimilarity(IVRiscuitObject a, IVRiscuitObject b, IVRiscuitObject x, IVRiscuitObject y, ScoreCoefficient ef)
{
var fs = CalcTwoObjectSimilarityparameters(a, b, x, y, ef);
var score = fs[0] + fs[1] + fs[2] + fs[3];
return(new float[2] {
score, fs[4]
});
}
public static float[] CalcAppliedFieldScore(IVRiscuitObjectSet currentField, IVRiscuitObjectSet beforeField, IVRiscuitObjectSet afterRuleSet, IVRiscuitObjectSet beforeRuleSet, ScoreCoefficient ef)
{
var score = 0.0f;
var max = 0.0f;
var beforeRuleSetArray = beforeRuleSet.ObjectArray;
var afterRuleSetArray = afterRuleSet.ObjectArray;
var beforeFieldArray = beforeField.ObjectArray;
var currentFieldArray = currentField.ObjectArray;
var currentSize = currentField.Size;
var beforeSize = beforeField.Size;
for (int a = 0; a < currentSize; a++)
{
for (int b = 0; b < beforeSize; b++)
{
var f = CalcTwoObjectSimilarity(beforeRuleSetArray[b], afterRuleSetArray[a], beforeFieldArray[b], currentFieldArray[a], ef);
score += f[0];
max += f[1];
}
}
var cc = CalcScore(afterRuleSet, currentField, ef);
score += cc[0];
max += cc[1];
return(new float[] { score, max });
}
