/// <summary>Creates a new, AI controlled ship.</summary>
/// <param name="manager">The manager.</param>
/// <param name="blueprint">The blueprint.</param>
/// <param name="faction">The faction the ship will belong to.</param>
/// <param name="position">The position.</param>
/// <param name="random">The random.</param>
/// <param name="configuration">The configuration.</param>
/// <returns>The new ship.</returns>
public static int CreateAIShip(
IManager manager,
string blueprint,
Factions faction,
FarPosition position,
IUniformRandom random,
ArtificialIntelligence.AIConfiguration configuration = null)
{
var entity = FactoryLibrary.SampleShip(manager, blueprint, faction, position, random);
var input = (ShipControl)manager.GetComponent(entity, ShipControl.TypeId);
input.Stabilizing = true;
manager.AddComponent <ArtificialIntelligence>(entity).
Initialize(random != null ? random.NextUInt32() : 0, configuration).Enabled = false;
// Add to the index from which entities will automatically removed
// on cell death and mark it (for translation checks into empty space).
manager.AddComponent <Indexable>(entity).Initialize(CellSystem.CellDeathAutoRemoveIndexId);
manager.AddComponent <CellDeath>(entity).Initialize(true);
// Add to AI index, to allow putting the AI to sleep.
manager.AddComponent <Indexable>(entity).Initialize(SleepSystem.IndexId);
return(entity);
}
/// <summary>Get the next sample value from the gaussian distribution.</summary>
public double NextSample()
{
for (;;)
{
// Select box at random.
var u = (byte)_rng.NextUInt32();
var i = u & 0x7F;
var sign = ((u & 0x80) == 0) ? -1.0 : 1.0;
// Generate uniform random value with range [0,0xFFFFFFFF].
var u2 = _rng.NextUInt32();
// Special case for the base segment.
if (0 == i)
{
if (u2 < _xComp[0])
{
// Generated x is within R0.
return(u2 * UIntToU * _aDivY0 * sign);
}
// Generated x is in the tail of the distribution.
return(SampleTail() * sign);
}
// All other segments.
if (u2 < _xComp[i])
{
// Generated x is within the rectangle.
return(u2 * UIntToU * _x[i] * sign);
}
// Generated x is outside of the rectangle.
// Generate a random y coordinate and test if our (x,y) is within the distribution curve.
// This execution path is relatively slow/expensive (makes a call to Math.Exp()) but relatively rarely executed,
// although more often than the 'tail' path (above).
double x = u2 * UIntToU * _x[i];
if (_y[i - 1] + ((_y[i] - _y[i - 1]) * _rng.NextDouble()) < GaussianPdfDenorm(x))
{
return(x * sign);
}
}
}