public static Universe StartGalaxySystem(int numberOfBodies)
{
int i;
double radiusScale = 5e15, currVelocity, currRadius, massScale = 2e30;
Universe result = new Universe();
NormalRandom rnd1 = new NormalRandom();
List <MaterialPoint> bodies = new List <MaterialPoint>();
for (i = 0; i < numberOfBodies; i++)
{
currRadius = Math.Abs(radiusScale * (rnd1.NextDouble() / 5 + 0.6));
currVelocity = Math.Sqrt(result.G * 0.5 * massScale * numberOfBodies / radiusScale);
bodies.Add(new PhysicalBody(
coordinates: new Vector(currRadius * Math.Sin(2 * Math.PI / numberOfBodies * i), currRadius * Math.Cos(2 * Math.PI / numberOfBodies * i)),
mass: rnd.NextDouble() * massScale,
velocity: new Vector(currVelocity * Math.Cos(2 * Math.PI / numberOfBodies * i), -currVelocity * Math.Sin(2 * Math.PI / numberOfBodies * i)),
diameter: 5e13
));
}
result = new Universe(bodies.ToArray())
{
Name = "Galaxy System",
CameraFOV = 1e16,
CollisionsType = CollisionType.InelasticCollisions,
DeltaTime = 3.1536e9, /* 100 * 365 * 24 * 3600 s*/
EnableTracers = true
};
return(result);
}
public int getRate(int a, int b)
{
double value = _normalRandom.NextDouble();
value += 3f;
value /= 6f;
value = value * (b - a) + a;
return(Mathf.RoundToInt((float)value));
}
private List <double> Gauss()
{
List <double> randoms = new List <double>();
NormalRandom nr = new NormalRandom();
for (int i = 0; i < Convert.ToInt32(NumBox.Text); i++)
{
randoms.Add((nr.NextDouble() * Convert.ToDouble(additionalBox1.Text)) + Convert.ToDouble(additionalBox2.Text));
}
return(randoms);
}
float[,] randn(int x, int y)
{
float[,] res = new float[x, y];
for (int i = 0; i < x; i++)
{
for (int j = 0; j < y; j++)
{
res[i, j] = nrnd.NextDouble();
}
}
return(res);
}
public List <DateSpan> CalculateSicknessdays(int sickDays, int averageSickDays)
{
List <DateSpan> dates = new List <DateSpan>();
for (var year = _calcParameters.InternalStartTime.Year;
year <= _calcParameters.InternalEndTime.Year;
year++)
{
var yearStart = new DateTime(year, 1, 1);
var yearEnd = new DateTime(year + 1, 1, 1);
var daysInYear = (int)(yearEnd - yearStart).TotalDays;
var leftSickDays = sickDays;
while (leftSickDays > 0)
{
var day = _random.Next(daysInYear);
var duration = (int)_normalRandom.NextDouble(averageSickDays, 3);
if (duration < 0)
{
duration *= -1;
}
if (duration == 0)
{
duration = 1;
}
if (leftSickDays > duration)
{
leftSickDays -= duration;
}
else
{
duration = leftSickDays;
leftSickDays = 0;
}
var sicknessstart = new DateTime(year, 1, 1).AddDays(day);
var sicknessend = sicknessstart.AddDays(duration);
dates.Add(new DateSpan(sicknessstart, sicknessend));
}
}
return(dates);
}
private double GetMaxExpansionFactor(double standardeviation, Random rnd)
{
if (_expansionFactorsByDeviation.ContainsKey(standardeviation))
{
return(_expansionFactorsByDeviation[standardeviation]);
}
var nr = new NormalRandom(1, 0.1, rnd);
double maxfactor = 1;
for (var i = 0; i < 100; i++)
{
var val = nr.NextDouble(1, standardeviation);
if (val > maxfactor)
{
maxfactor = val;
}
}
_expansionFactorsByDeviation.Add(standardeviation, maxfactor);
return(maxfactor);
}
protected override Gene <double>[] MutationFunction(Gene <double>[] genes)
{
var newCoords = new double[genes.Length];
for (int i = 0; i < genes.Length; i++)
{
var newX = genes[i].Value + _nr.NextDouble() * SIGMA;
newCoords[i] = newX;
}
var newVal = FunctionHelper.CalculateFunctionValue(newCoords);
var oldVal = FunctionHelper.CalculateFunctionValue(genes.Select(g => g.Value).ToArray());
if (newVal < oldVal)
{
return(newCoords.Select(c => new Gene <double>(c)).ToArray());
}
else
{
return(genes);
}
}
public static RandomValueProfile MakeStepValues(int stepCount, [NotNull] NormalRandom nr, double powerStandardDeviation)
{
if (stepCount == 0)
{
throw new LPGException("stepcount was 0");
}
var values = new List <double>(new double[stepCount]);
if (Math.Abs(powerStandardDeviation) > 0.00000001)
{
for (var i = 0; i < stepCount; i++)
{
values[i] = nr.NextDouble(1, powerStandardDeviation);
}
}
else
{
for (var i = 0; i < stepCount; i++)
{
values[i] = 1;
}
}
return(new RandomValueProfile(values));
}
public static double Next(double mu, double sigma)
{
return(sigma * _random.NextDouble() + mu);
}
public override CEquipmentInventory Generate()
{
CCultivator.CStats out_ = MinStats.Copy();
double scale = Gaus.NextDouble();
scale /= 10;
out_.MainStats.Agility = Math.Round(out_.MainStats.Agility + (MaxStats.MainStats.Agility - out_.MainStats.Agility) * scale);
scale = Gaus.NextDouble() / 10;
out_.MainStats.Endurance += Math.Round((MaxStats.MainStats.Endurance - out_.MainStats.Endurance) * scale);
scale = Gaus.NextDouble() / 10;
out_.MainStats.Intelligence += Math.Round((MaxStats.MainStats.Intelligence - out_.MainStats.Intelligence) * scale);
scale = Gaus.NextDouble() / 10;
out_.MainStats.Strength += Math.Round((MaxStats.MainStats.Strength - out_.MainStats.Strength) * scale);
scale = Gaus.NextDouble() / 10;
out_.SubStats.Charisma += Math.Round((MaxStats.SubStats.Charisma - out_.SubStats.Charisma) * scale);
scale = Gaus.NextDouble() / 10;
out_.SubStats.Luck += Math.Round((MaxStats.SubStats.Luck - out_.SubStats.Luck) * scale);
scale = Gaus.NextDouble() / 10;
out_.SubStats.Perception += Math.Round((MaxStats.SubStats.Perception - out_.SubStats.Perception) * scale);
scale = Gaus.NextDouble() / 10;
out_.Scales.Agility += (MaxStats.Scales.Agility - out_.Scales.Agility) * scale;
scale = Gaus.NextDouble() / 10;
out_.Scales.Endurance += (MaxStats.Scales.Endurance - out_.Scales.Endurance) * scale;
scale = Gaus.NextDouble() / 10;
out_.Scales.Intelligence += (MaxStats.Scales.Intelligence - out_.Scales.Intelligence) * scale;
scale = Gaus.NextDouble() / 10;
out_.Scales.Strength += (MaxStats.Scales.Strength - out_.Scales.Strength) * scale;
return(new T
{
Bonus = out_,
Count = 1,
Id = Id
});
}