/// <summary>
/// </summary>
/// <param name="dynel">
/// </param>
/// <returns>
/// </returns>
public static uint CalculateNanoPoints(IStatList dynel)
{
int[,] tableProfNanoPoints =
{
{ 4, 4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4 },
{ 4, 4, 5, 4, 5, 5, 5, 5, 4, 5, 5, 5, 4, 4 },
{ 4, 4, 6, 4, 6, 5, 5, 5, 4, 6, 6, 6, 4, 4 },
{ 4, 4, 7, 4, 6, 6, 5, 5, 4, 7, 7, 7, 4, 4 },
{ 4, 4, 8, 4, 7, 6, 6, 6, 4, 8, 8, 8, 4, 4 },
{ 4, 4, 9, 4, 7, 7, 7, 7, 4, 10, 10, 10, 4, 4 },
{ 5, 5, 10, 5, 8, 8, 7, 7, 5, 10, 10, 10, 4, 4 },
// TitleLevel 7
// TitleLevel 6
// TitleLevel 5
// TitleLevel 4
// TitleLevel 3
// TitleLevel 2
// TitleLevel 1
// Sol|MA|ENG|FIX|AGE|ADV|TRA|CRA|ENF|DOC| NT| MP|KEP|SHA // geprüfte Prof & TL = Soldier, Martial Artist, Engineer, Fixer
};
// Sol|Opi|Nan|Tro
int[] breedBaseNanoPoints = { 10, 10, 15, 8 };
int[] breedMultiplicatorNanoPoints = { 3, 3, 4, 2 };
int[] breedModificatorNanoPoints = { 0, -1, 1, -2 };
uint breed = dynel[StatIds.breed].BaseValue;
uint profession = dynel[StatIds.profession].BaseValue;
uint titleLevel = dynel[StatIds.titlelevel].BaseValue;
uint level = dynel[StatIds.level].BaseValue;
// BreedBaseNP+(Level*(TableProfNP+BreedModiNP))+(NanoEnergyPool*BreedMultiNP))
return
((uint)
(breedBaseNanoPoints[breed - 1]
+ (level
* (tableProfNanoPoints[titleLevel - 1, profession - 1] + breedModificatorNanoPoints[breed - 1]))
+ (dynel[StatIds.nanoenergypool].Value * breedMultiplicatorNanoPoints[breed - 1])));
}
/// <summary>
/// </summary>
public Statel()
{
this.stats = new StatelStats();
}
/// <summary>
/// </summary>
/// <param name="dynel">
/// </param>
/// <returns>
/// </returns>
public static double CalculateIP(IStatList dynel)
{
double calc = 0;
uint breed = dynel[StatIds.breed].BaseValue; // 4 = Breed
uint profession = dynel[StatIds.profession].BaseValue - 1; // 60 = Profession
double[,] skillCosts =
{
{ 100, 2.8, 1.6, 2.8, 2.0, 1.6, 2.8, 2.8, 3.0, 1.0, 2.8, 2.8, 1.6, 2.0, 2.0 },
{ 101, 1.4, 2.5, 4.0, 3.2, 1.0, 4.0, 2.5, 3.2, 2.5, 4.0, 4.0, 1.0, 2.0, 3.2 },
{ 102, 1.5, 1.6, 3.2, 2.4, 1.0, 2.4, 2.5, 3.2, 2.5, 2.6, 4.0, 4.0, 2.5, 1.8 },
{ 103, 1.0, 2.0, 4.0, 2.4, 1.0, 3.2, 2.0, 3.2, 2.0, 4.0, 4.0, 4.0, 2.0, 3.2 },
{ 106, 1.5, 2.5, 4.0, 2.4, 1.0, 3.2, 2.5, 3.2, 2.0, 3.2, 4.0, 1.0, 2.5, 2.5 },
{ 107, 1.5, 2.5, 4.0, 3.2, 1.4, 3.2, 3.2, 3.2, 2.0, 4.0, 3.2, 4.0, 2.5, 2.5 },
{ 105, 1.5, 2.5, 4.0, 3.2, 1.0, 3.2, 2.5, 1.0, 2.0, 2.5, 2.5, 4.0, 2.5, 2.5 },
{ 104, 1.5, 3.2, 4.0, 3.2, 1.8, 4.0, 3.2, 3.2, 3.0, 4.0, 3.2, 4.0, 2.2, 2.5 },
{ 108, 1.6, 1.2, 3.2, 3.2, 1.6, 3.2, 2.5, 4.0, 1.0, 3.2, 2.4, 1.6, 1.6, 2.4 },
{ 109, 1.6, 1.6, 4.0, 3.2, 2.5, 2.0, 2.2, 4.0, 2.4, 4.0, 2.4, 4.0, 1.6, 2.4 },
{ 110, 3.0, 3.0, 4.0, 4.0, 2.5, 2.0, 2.5, 4.0, 4.0, 4.0, 4.0, 4.0, 1.0, 4.0 },
{ 111, 1.8, 2.0, 4.0, 4.0, 4.0, 4.0, 2.4, 4.0, 1.0, 2.5, 4.0, 4.0, 2.4, 4.0 },
{ 112, 1.0, 1.8, 1.6, 1.6, 3.0, 1.5, 1.6, 4.0, 3.5, 2.4, 1.6, 4.0, 1.0, 2.0 },
{ 113, 1.7, 1.3, 4.0, 4.0, 4.0, 4.0, 2.0, 4.0, 4.0, 4.0, 4.0, 4.0, 2.0, 2.8 },
{ 114, 2.5, 2.5, 3.2, 3.2, 2.5, 3.2, 1.0, 4.0, 3.0, 3.2, 3.2, 4.0, 1.5, 2.4 },
{ 115, 2.4, 3.2, 3.2, 2.4, 2.5, 3.2, 1.8, 4.0, 4.0, 4.0, 3.0, 4.0, 1.5, 1.5 },
{ 116, 1.6, 3.0, 4.0, 4.0, 3.5, 3.0, 2.8, 4.0, 4.0, 4.0, 4.5, 4.0, 1.0, 4.0 },
{ 117, 1.0, 2.4, 2.4, 2.4, 1.6, 1.6, 1.0, 2.4, 2.5, 2.5, 2.4, 3.2, 1.6, 1.4 },
{ 118, 1.8, 1.6, 4.0, 3.2, 1.0, 3.2, 2.5, 1.0, 2.0, 3.0, 3.5, 1.0, 2.4, 3.2 },
{ 119, 2.0, 1.6, 3.2, 3.2, 3.0, 3.2, 1.6, 3.8, 2.4, 4.0, 3.0, 4.0, 1.0, 2.5 },
{ 120, 1.6, 1.6, 2.0, 2.0, 1.6, 3.0, 2.4, 3.8, 1.0, 3.2, 3.2, 3.4, 2.4, 3.2 },
{ 121, 1.6, 2.0, 4.0, 4.0, 2.0, 3.5, 2.0, 4.0, 1.0, 2.5, 4.0, 4.0, 2.0, 4.0 },
{ 122, 1.6, 1.6, 1.0, 1.6, 2.5, 2.4, 2.4, 2.4, 1.6, 1.6, 1.0, 1.6, 2.4, 1.8 },
{ 123, 1.2, 2.0, 2.0, 1.0, 1.6, 2.0, 1.2, 1.2, 1.6, 2.0, 2.0, 2.5, 2.0, 1.6 },
{ 124, 1.0, 2.0, 2.0, 1.0, 2.0, 1.6, 1.2, 1.8, 2.0, 2.0, 2.0, 1.5, 2.0, 1.6 },
{ 125, 1.2, 1.5, 1.8, 2.0, 2.0, 1.0, 1.5, 3.2, 2.4, 2.0, 2.0, 3.2, 2.0, 1.2 },
{ 126, 1.6, 2.0, 2.4, 1.6, 1.8, 1.0, 1.5, 3.2, 3.2, 2.0, 1.6, 3.2, 2.4, 1.0 },
{ 127, 1.8, 1.2, 1.6, 1.0, 2.5, 1.0, 2.4, 3.2, 2.0, 1.0, 1.0, 3.2, 2.0, 1.6 },
{ 128, 1.5, 1.6, 1.0, 1.0, 2.5, 2.4, 3.2, 1.8, 1.6, 1.0, 1.0, 1.9, 2.4, 1.8 },
{ 129, 1.8, 1.6, 1.0, 1.6, 2.5, 2.4, 2.4, 1.6, 2.0, 1.6, 1.0, 1.4, 2.0, 1.5 },
{ 130, 1.8, 1.4, 1.6, 1.6, 2.5, 1.0, 2.5, 3.2, 2.4, 1.0, 1.0, 3.2, 2.5, 1.5 },
{ 131, 1.8, 2.4, 1.6, 1.6, 2.5, 1.0, 3.2, 1.4, 1.6, 1.0, 1.0, 1.9, 3.2, 1.5 },
{ 132, 1.6, 1.2, 1.4, 1.0, 2.0, 1.8, 1.6, 2.2, 1.6, 1.0, 1.0, 2.5, 2.0, 1.2 },
{ 133, 2.4, 2.5, 4.0, 4.0, 4.0, 3.0, 2.5, 4.0, 4.0, 4.0, 4.0, 4.0, 1.0, 3.0 },
{ 134, 1.5, 1.8, 4.0, 4.0, 4.0, 4.0, 2.0, 4.0, 4.0, 2.5, 4.0, 4.0, 2.0, 2.5 },
{ 135, 1.6, 2.0, 2.4, 2.4, 2.4, 1.6, 1.0, 2.4, 2.5, 2.4, 2.4, 1.8, 2.4, 2.4 },
{ 136, 1.6, 1.0, 1.6, 2.4, 2.4, 2.4, 1.0, 1.2, 1.6, 2.4, 2.4, 2.4, 2.4, 1.4 },
{ 137, 1.0, 3.0, 2.0, 2.0, 1.5, 2.0, 2.0, 1.8, 1.6, 2.0, 2.0, 1.6, 1.5, 1.4 },
{ 138, 1.0, 1.6, 2.0, 2.0, 2.0, 2.0, 2.0, 1.8, 1.4, 2.0, 2.0, 1.4, 1.5, 1.5 },
{ 139, 1.0, 2.4, 2.0, 2.4, 1.6, 1.6, 1.0, 2.4, 3.0, 2.5, 2.4, 3.2, 1.6, 1.4 },
{ 140, 1.0, 1.6, 2.0, 1.6, 1.6, 1.6, 2.0, 1.2, 2.0, 2.0, 1.6, 2.4, 1.6, 1.3 },
{ 141, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 },
{ 142, 2.4, 2.8, 3.2, 2.8, 1.0, 2.4, 1.8, 2.0, 1.2, 2.8, 2.8, 4.0, 2.0, 2.0 },
{ 143, 3.2, 3.0, 3.2, 3.2, 1.2, 3.2, 2.4, 1.0, 1.0, 3.2, 2.4, 1.4, 2.4, 3.2 },
{ 144, 4.0, 1.6, 3.0, 4.0, 4.0, 4.0, 4.0, 1.3, 1.2, 2.5, 2.5, 1.0, 4.0, 4.0 },
{ 145, 1.5, 1.6, 3.2, 2.4, 1.4, 4.0, 2.4, 1.0, 1.5, 4.0, 3.2, 1.4, 2.5, 2.5 },
{ 146, 1.5, 1.0, 2.4, 3.2, 2.0, 4.0, 3.9, 4.0, 3.0, 4.0, 3.2, 1.0, 3.0, 4.0 },
{ 147, 2.0, 2.5, 4.0, 2.4, 1.5, 4.0, 2.5, 1.0, 2.0, 4.0, 3.2, 1.4, 2.4, 3.0 },
{ 148, 1.8, 3.2, 4.0, 3.0, 3.0, 3.0, 1.5, 4.0, 4.0, 4.0, 4.0, 4.0, 1.5, 3.5 },
{ 149, 2.0, 1.6, 1.0, 1.0, 2.4, 1.6, 2.4, 3.2, 2.5, 1.0, 1.0, 2.8, 4.0, 1.5 },
{ 150, 1.0, 3.2, 4.0, 2.4, 3.5, 3.2, 1.6, 4.0, 3.2, 4.0, 4.0, 4.0, 1.0, 2.5 },
{ 151, 2.2, 1.1, 4.0, 3.2, 3.5, 4.0, 2.5, 4.0, 3.0, 4.0, 3.2, 4.0, 1.8, 2.5 },
{ 152, 1.2, 2.4, 2.4, 2.0, 1.0, 2.4, 1.8, 1.2, 1.5, 2.4, 2.4, 2.6, 1.1, 2.0 },
{ 153, 1.6, 1.6, 2.4, 2.4, 2.0, 2.2, 1.0, 1.6, 1.0, 2.4, 2.4, 1.2, 1.8, 1.9 },
{ 154, 1.6, 2.1, 2.4, 2.4, 2.0, 2.5, 1.0, 1.6, 1.0, 1.6, 2.4, 2.4, 1.5, 1.9 },
{ 155, 1.8, 2.4, 2.4, 3.2, 1.5, 4.0, 1.6, 1.4, 1.0, 1.6, 3.2, 1.0, 2.0, 1.9 },
{ 156, 1.0, 1.6, 2.4, 2.4, 2.4, 2.0, 1.0, 2.0, 1.0, 2.4, 2.4, 1.0, 2.0, 1.9 },
{ 157, 1.6, 2.0, 2.4, 1.6, 3.2, 1.0, 1.5, 3.2, 3.2, 2.4, 1.6, 1.4, 2.4, 1.2 },
{ 158, 1.6, 4.0, 2.5, 1.5, 1.5, 1.0, 1.3, 2.0, 2.4, 2.5, 3.2, 3.2, 1.5, 1.0 },
{ 159, 2.4, 1.6, 2.4, 1.0, 1.6, 1.5, 1.5, 3.2, 2.4, 2.0, 2.4, 1.8, 2.0, 1.0 },
{ 160, 4.0, 2.4, 1.6, 1.6, 2.4, 1.2, 2.0, 3.2, 2.4, 1.0, 1.0, 4.0, 2.0, 1.4 },
{ 161, 1.6, 1.6, 1.0, 1.0, 1.6, 1.3, 1.0, 2.4, 2.0, 1.0, 1.0, 2.4, 2.0, 1.5 },
{ 162, 1.6, 1.0, 1.0, 2.3, 1.0, 2.4, 1.5, 1.0, 1.6, 1.6, 2.4, 2.4, 1.5, 1.0 },
{ 163, 1.6, 1.5, 2.4, 2.0, 1.0, 1.2, 2.0, 3.2, 2.4, 2.0, 2.0, 3.2, 2.4, 1.3 },
{ 164, 1.7, 1.0, 2.4, 2.4, 2.0, 3.2, 1.5, 3.2, 1.5, 2.5, 2.5, 1.0, 2.0, 1.8 },
{ 165, 2.0, 1.5, 2.0, 2.0, 2.0, 1.6, 1.0, 2.4, 2.0, 2.4, 2.5, 1.6, 2.0, 1.8 },
{ 166, 1.0, 2.4, 2.4, 1.6, 1.0, 1.6, 1.0, 2.4, 2.5, 2.5, 2.4, 3.2, 1.0, 1.4 },
{ 167, 2.4, 4.0, 4.0, 4.0, 3.0, 3.0, 2.2, 4.0, 4.0, 4.0, 5.0, 4.0, 1.5, 3.5 },
{ 168, 2.4, 1.6, 1.6, 1.2, 2.2, 1.5, 1.6, 1.8, 1.6, 1.6, 1.0, 1.5, 2.2, 1.6 }
};
int[] professionMatrix = { 12, 8, 5, 6, 1, 0, 13, 2, 4, 3, 10, 9, -1, 7, 11 };
double[,] attributeCost =
{
{ 16, 2, 2, 3, 1 }, { 17, 2, 1, 3, 2 }, { 18, 2, 3, 2, 1 }, { 19, 2, 2, 1, 3 },
{ 20, 2, 1, 2, 3 }, { 21, 2, 2, 1, 3 }
};
double[,] baseAttributes =
{
{ 6, 6, 6, 6, 6, 6 }, { 3, 15, 6, 6, 10, 3 }, { 3, 3, 3, 15, 6, 10 },
{ 15, 6, 10, 3, 3, 3 }
};
int counter = 0;
int c2;
int stat = 0;
// start with attributes...
for (counter = 0; counter < 6; counter++)
{
stat = (Int32)dynel[Convert.ToInt32(attributeCost[counter, 0])].BaseValue;
for (c2 = (Int32)baseAttributes[breed - 1, counter]; c2 < stat; c2++)
{
calc += attributeCost[counter, breed] * c2;
}
}
for (counter = 0; counter < 69; counter++)
{
stat = (Int32)dynel[Convert.ToInt32(skillCosts[counter, 0])].BaseValue - 1;
for (c2 = 5; c2 <= stat; c2++)
{
calc += Math.Floor(skillCosts[counter, professionMatrix[profession] + 1] * c2);
}
}
return(calc);
}
/// <summary>
/// </summary>
/// <param name="dynel">
/// </param>
/// <returns>
/// </returns>
public static double CalculateIP(IStatList dynel)
{
double calc = 0;
uint breed = dynel[StatIds.breed].BaseValue; // 4 = Breed
uint profession = dynel[StatIds.profession].BaseValue - 1; // 60 = Profession
double[,] skillCosts =
{
{ 100, 2.8, 1.6, 2.8, 2.0, 1.6, 2.8, 2.8, 3.0, 1.0, 2.8, 2.8, 1.6, 2.0, 2.0 },
{ 101, 1.4, 2.5, 4.0, 3.2, 1.0, 4.0, 2.5, 3.2, 2.5, 4.0, 4.0, 1.0, 2.0, 3.2 },
{ 102, 1.5, 1.6, 3.2, 2.4, 1.0, 2.4, 2.5, 3.2, 2.5, 2.6, 4.0, 4.0, 2.5, 1.8 },
{ 103, 1.0, 2.0, 4.0, 2.4, 1.0, 3.2, 2.0, 3.2, 2.0, 4.0, 4.0, 4.0, 2.0, 3.2 },
{ 106, 1.5, 2.5, 4.0, 2.4, 1.0, 3.2, 2.5, 3.2, 2.0, 3.2, 4.0, 1.0, 2.5, 2.5 },
{ 107, 1.5, 2.5, 4.0, 3.2, 1.4, 3.2, 3.2, 3.2, 2.0, 4.0, 3.2, 4.0, 2.5, 2.5 },
{ 105, 1.5, 2.5, 4.0, 3.2, 1.0, 3.2, 2.5, 1.0, 2.0, 2.5, 2.5, 4.0, 2.5, 2.5 },
{ 104, 1.5, 3.2, 4.0, 3.2, 1.8, 4.0, 3.2, 3.2, 3.0, 4.0, 3.2, 4.0, 2.2, 2.5 },
{ 108, 1.6, 1.2, 3.2, 3.2, 1.6, 3.2, 2.5, 4.0, 1.0, 3.2, 2.4, 1.6, 1.6, 2.4 },
{ 109, 1.6, 1.6, 4.0, 3.2, 2.5, 2.0, 2.2, 4.0, 2.4, 4.0, 2.4, 4.0, 1.6, 2.4 },
{ 110, 3.0, 3.0, 4.0, 4.0, 2.5, 2.0, 2.5, 4.0, 4.0, 4.0, 4.0, 4.0, 1.0, 4.0 },
{ 111, 1.8, 2.0, 4.0, 4.0, 4.0, 4.0, 2.4, 4.0, 1.0, 2.5, 4.0, 4.0, 2.4, 4.0 },
{ 112, 1.0, 1.8, 1.6, 1.6, 3.0, 1.5, 1.6, 4.0, 3.5, 2.4, 1.6, 4.0, 1.0, 2.0 },
{ 113, 1.7, 1.3, 4.0, 4.0, 4.0, 4.0, 2.0, 4.0, 4.0, 4.0, 4.0, 4.0, 2.0, 2.8 },
{ 114, 2.5, 2.5, 3.2, 3.2, 2.5, 3.2, 1.0, 4.0, 3.0, 3.2, 3.2, 4.0, 1.5, 2.4 },
{ 115, 2.4, 3.2, 3.2, 2.4, 2.5, 3.2, 1.8, 4.0, 4.0, 4.0, 3.0, 4.0, 1.5, 1.5 },
{ 116, 1.6, 3.0, 4.0, 4.0, 3.5, 3.0, 2.8, 4.0, 4.0, 4.0, 4.5, 4.0, 1.0, 4.0 },
{ 117, 1.0, 2.4, 2.4, 2.4, 1.6, 1.6, 1.0, 2.4, 2.5, 2.5, 2.4, 3.2, 1.6, 1.4 },
{ 118, 1.8, 1.6, 4.0, 3.2, 1.0, 3.2, 2.5, 1.0, 2.0, 3.0, 3.5, 1.0, 2.4, 3.2 },
{ 119, 2.0, 1.6, 3.2, 3.2, 3.0, 3.2, 1.6, 3.8, 2.4, 4.0, 3.0, 4.0, 1.0, 2.5 },
{ 120, 1.6, 1.6, 2.0, 2.0, 1.6, 3.0, 2.4, 3.8, 1.0, 3.2, 3.2, 3.4, 2.4, 3.2 },
{ 121, 1.6, 2.0, 4.0, 4.0, 2.0, 3.5, 2.0, 4.0, 1.0, 2.5, 4.0, 4.0, 2.0, 4.0 },
{ 122, 1.6, 1.6, 1.0, 1.6, 2.5, 2.4, 2.4, 2.4, 1.6, 1.6, 1.0, 1.6, 2.4, 1.8 },
{ 123, 1.2, 2.0, 2.0, 1.0, 1.6, 2.0, 1.2, 1.2, 1.6, 2.0, 2.0, 2.5, 2.0, 1.6 },
{ 124, 1.0, 2.0, 2.0, 1.0, 2.0, 1.6, 1.2, 1.8, 2.0, 2.0, 2.0, 1.5, 2.0, 1.6 },
{ 125, 1.2, 1.5, 1.8, 2.0, 2.0, 1.0, 1.5, 3.2, 2.4, 2.0, 2.0, 3.2, 2.0, 1.2 },
{ 126, 1.6, 2.0, 2.4, 1.6, 1.8, 1.0, 1.5, 3.2, 3.2, 2.0, 1.6, 3.2, 2.4, 1.0 },
{ 127, 1.8, 1.2, 1.6, 1.0, 2.5, 1.0, 2.4, 3.2, 2.0, 1.0, 1.0, 3.2, 2.0, 1.6 },
{ 128, 1.5, 1.6, 1.0, 1.0, 2.5, 2.4, 3.2, 1.8, 1.6, 1.0, 1.0, 1.9, 2.4, 1.8 },
{ 129, 1.8, 1.6, 1.0, 1.6, 2.5, 2.4, 2.4, 1.6, 2.0, 1.6, 1.0, 1.4, 2.0, 1.5 },
{ 130, 1.8, 1.4, 1.6, 1.6, 2.5, 1.0, 2.5, 3.2, 2.4, 1.0, 1.0, 3.2, 2.5, 1.5 },
{ 131, 1.8, 2.4, 1.6, 1.6, 2.5, 1.0, 3.2, 1.4, 1.6, 1.0, 1.0, 1.9, 3.2, 1.5 },
{ 132, 1.6, 1.2, 1.4, 1.0, 2.0, 1.8, 1.6, 2.2, 1.6, 1.0, 1.0, 2.5, 2.0, 1.2 },
{ 133, 2.4, 2.5, 4.0, 4.0, 4.0, 3.0, 2.5, 4.0, 4.0, 4.0, 4.0, 4.0, 1.0, 3.0 },
{ 134, 1.5, 1.8, 4.0, 4.0, 4.0, 4.0, 2.0, 4.0, 4.0, 2.5, 4.0, 4.0, 2.0, 2.5 },
{ 135, 1.6, 2.0, 2.4, 2.4, 2.4, 1.6, 1.0, 2.4, 2.5, 2.4, 2.4, 1.8, 2.4, 2.4 },
{ 136, 1.6, 1.0, 1.6, 2.4, 2.4, 2.4, 1.0, 1.2, 1.6, 2.4, 2.4, 2.4, 2.4, 1.4 },
{ 137, 1.0, 3.0, 2.0, 2.0, 1.5, 2.0, 2.0, 1.8, 1.6, 2.0, 2.0, 1.6, 1.5, 1.4 },
{ 138, 1.0, 1.6, 2.0, 2.0, 2.0, 2.0, 2.0, 1.8, 1.4, 2.0, 2.0, 1.4, 1.5, 1.5 },
{ 139, 1.0, 2.4, 2.0, 2.4, 1.6, 1.6, 1.0, 2.4, 3.0, 2.5, 2.4, 3.2, 1.6, 1.4 },
{ 140, 1.0, 1.6, 2.0, 1.6, 1.6, 1.6, 2.0, 1.2, 2.0, 2.0, 1.6, 2.4, 1.6, 1.3 },
{ 141, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 },
{ 142, 2.4, 2.8, 3.2, 2.8, 1.0, 2.4, 1.8, 2.0, 1.2, 2.8, 2.8, 4.0, 2.0, 2.0 },
{ 143, 3.2, 3.0, 3.2, 3.2, 1.2, 3.2, 2.4, 1.0, 1.0, 3.2, 2.4, 1.4, 2.4, 3.2 },
{ 144, 4.0, 1.6, 3.0, 4.0, 4.0, 4.0, 4.0, 1.3, 1.2, 2.5, 2.5, 1.0, 4.0, 4.0 },
{ 145, 1.5, 1.6, 3.2, 2.4, 1.4, 4.0, 2.4, 1.0, 1.5, 4.0, 3.2, 1.4, 2.5, 2.5 },
{ 146, 1.5, 1.0, 2.4, 3.2, 2.0, 4.0, 3.9, 4.0, 3.0, 4.0, 3.2, 1.0, 3.0, 4.0 },
{ 147, 2.0, 2.5, 4.0, 2.4, 1.5, 4.0, 2.5, 1.0, 2.0, 4.0, 3.2, 1.4, 2.4, 3.0 },
{ 148, 1.8, 3.2, 4.0, 3.0, 3.0, 3.0, 1.5, 4.0, 4.0, 4.0, 4.0, 4.0, 1.5, 3.5 },
{ 149, 2.0, 1.6, 1.0, 1.0, 2.4, 1.6, 2.4, 3.2, 2.5, 1.0, 1.0, 2.8, 4.0, 1.5 },
{ 150, 1.0, 3.2, 4.0, 2.4, 3.5, 3.2, 1.6, 4.0, 3.2, 4.0, 4.0, 4.0, 1.0, 2.5 },
{ 151, 2.2, 1.1, 4.0, 3.2, 3.5, 4.0, 2.5, 4.0, 3.0, 4.0, 3.2, 4.0, 1.8, 2.5 },
{ 152, 1.2, 2.4, 2.4, 2.0, 1.0, 2.4, 1.8, 1.2, 1.5, 2.4, 2.4, 2.6, 1.1, 2.0 },
{ 153, 1.6, 1.6, 2.4, 2.4, 2.0, 2.2, 1.0, 1.6, 1.0, 2.4, 2.4, 1.2, 1.8, 1.9 },
{ 154, 1.6, 2.1, 2.4, 2.4, 2.0, 2.5, 1.0, 1.6, 1.0, 1.6, 2.4, 2.4, 1.5, 1.9 },
{ 155, 1.8, 2.4, 2.4, 3.2, 1.5, 4.0, 1.6, 1.4, 1.0, 1.6, 3.2, 1.0, 2.0, 1.9 },
{ 156, 1.0, 1.6, 2.4, 2.4, 2.4, 2.0, 1.0, 2.0, 1.0, 2.4, 2.4, 1.0, 2.0, 1.9 },
{ 157, 1.6, 2.0, 2.4, 1.6, 3.2, 1.0, 1.5, 3.2, 3.2, 2.4, 1.6, 1.4, 2.4, 1.2 },
{ 158, 1.6, 4.0, 2.5, 1.5, 1.5, 1.0, 1.3, 2.0, 2.4, 2.5, 3.2, 3.2, 1.5, 1.0 },
{ 159, 2.4, 1.6, 2.4, 1.0, 1.6, 1.5, 1.5, 3.2, 2.4, 2.0, 2.4, 1.8, 2.0, 1.0 },
{ 160, 4.0, 2.4, 1.6, 1.6, 2.4, 1.2, 2.0, 3.2, 2.4, 1.0, 1.0, 4.0, 2.0, 1.4 },
{ 161, 1.6, 1.6, 1.0, 1.0, 1.6, 1.3, 1.0, 2.4, 2.0, 1.0, 1.0, 2.4, 2.0, 1.5 },
{ 162, 1.6, 1.0, 1.0, 2.3, 1.0, 2.4, 1.5, 1.0, 1.6, 1.6, 2.4, 2.4, 1.5, 1.0 },
{ 163, 1.6, 1.5, 2.4, 2.0, 1.0, 1.2, 2.0, 3.2, 2.4, 2.0, 2.0, 3.2, 2.4, 1.3 },
{ 164, 1.7, 1.0, 2.4, 2.4, 2.0, 3.2, 1.5, 3.2, 1.5, 2.5, 2.5, 1.0, 2.0, 1.8 },
{ 165, 2.0, 1.5, 2.0, 2.0, 2.0, 1.6, 1.0, 2.4, 2.0, 2.4, 2.5, 1.6, 2.0, 1.8 },
{ 166, 1.0, 2.4, 2.4, 1.6, 1.0, 1.6, 1.0, 2.4, 2.5, 2.5, 2.4, 3.2, 1.0, 1.4 },
{ 167, 2.4, 4.0, 4.0, 4.0, 3.0, 3.0, 2.2, 4.0, 4.0, 4.0, 5.0, 4.0, 1.5, 3.5 },
{ 168, 2.4, 1.6, 1.6, 1.2, 2.2, 1.5, 1.6, 1.8, 1.6, 1.6, 1.0, 1.5, 2.2, 1.6 }
};
int[] professionMatrix = { 12, 8, 5, 6, 1, 0, 13, 2, 4, 3, 10, 9, -1, 7, 11 };
double[,] attributeCost =
{
{ 16, 2, 2, 3, 1 }, { 17, 2, 1, 3, 2 }, { 18, 2, 3, 2, 1 }, { 19, 2, 2, 1, 3 },
{ 20, 2, 1, 2, 3 }, { 21, 2, 2, 1, 3 }
};
// TODO: Find base attributes for Monster breeds!
double[,] baseAttributes =
{
{ 6, 6, 6, 6, 6, 6 }, { 3, 15, 6, 6, 10, 3 }, { 3, 3, 3, 15, 6, 10 },
{ 15, 6, 10, 3, 3, 3 }, { 3, 3, 3, 15, 6, 10 }, { 3, 3, 3, 15, 6, 10 },
{ 3, 3, 3, 15, 6, 10 }
};
int counter = 0;
int c2;
int stat = 0;
// start with attributes...
for (counter = 0; counter < 6; counter++)
{
stat = (Int32)dynel[Convert.ToInt32(attributeCost[counter, 0])].BaseValue;
for (c2 = (Int32)baseAttributes[breed - 1, counter]; c2 < stat; c2++)
{
calc += attributeCost[counter, breed] * c2;
}
}
for (counter = 0; counter < 69; counter++)
{
stat = (Int32)dynel[Convert.ToInt32(skillCosts[counter, 0])].BaseValue - 1;
for (c2 = 5; c2 <= stat; c2++)
{
calc += Math.Floor(skillCosts[counter, professionMatrix[profession] + 1] * c2);
}
}
return calc;
}
/// <summary>
/// </summary>
/// <param name="dynel">
/// </param>
/// <returns>
/// </returns>
public static uint CalculateNanoPoints(IStatList dynel)
{
int[,] tableProfNanoPoints =
{
{ 4, 4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4 },
{ 4, 4, 5, 4, 5, 5, 5, 5, 4, 5, 5, 5, 4, 4 },
{ 4, 4, 6, 4, 6, 5, 5, 5, 4, 6, 6, 6, 4, 4 },
{ 4, 4, 7, 4, 6, 6, 5, 5, 4, 7, 7, 7, 4, 4 },
{ 4, 4, 8, 4, 7, 6, 6, 6, 4, 8, 8, 8, 4, 4 },
{ 4, 4, 9, 4, 7, 7, 7, 7, 4, 10, 10, 10, 4, 4 },
{ 5, 5, 10, 5, 8, 8, 7, 7, 5, 10, 10, 10, 4, 4 },
// TitleLevel 7
// TitleLevel 6
// TitleLevel 5
// TitleLevel 4
// TitleLevel 3
// TitleLevel 2
// TitleLevel 1
// Sol|MA|ENG|FIX|AGE|ADV|TRA|CRA|ENF|DOC| NT| MP|KEP|SHA // geprüfte Prof & TL = Soldier, Martial Artist, Engineer, Fixer
};
// Sol|Opi|Nan|Tro
int[] breedBaseNanoPoints = { 10, 10, 15, 8 };
int[] breedMultiplicatorNanoPoints = { 3, 3, 4, 2 };
int[] breedModificatorNanoPoints = { 0, -1, 1, -2 };
uint breed = dynel[StatIds.breed].BaseValue;
uint profession = dynel[StatIds.profession].BaseValue;
uint titleLevel = dynel[StatIds.titlelevel].BaseValue;
uint level = dynel[StatIds.level].BaseValue;
// BreedBaseNP+(Level*(TableProfNP+BreedModiNP))+(NanoEnergyPool*BreedMultiNP))
return
(uint)
(breedBaseNanoPoints[breed - 1]
+ (level
* (tableProfNanoPoints[titleLevel - 1, profession - 1] + breedModificatorNanoPoints[breed - 1]))
+ (dynel[StatIds.nanoenergypool].Value * breedMultiplicatorNanoPoints[breed - 1]));
}
/// <summary>
/// </summary>
public Statel()
{
this.stats = new StatelStats();
}
