public virtual void CreateTargets(int noObjects, PointF center)
{
SizeF centerSz = new SizeF(center); // Is Size because there is no overload for +(Point,Point)........
// Pick random unique shapes from the available pool
Resize(ref m_shapeIdcs, noObjects);
int shapeCount = Enum.GetValues(typeof(Shape.Shapes)).Length; // noObjects must be at most shapeCount
MyCombinationBase.GenerateCombinationUnique(new ArraySegment <float>(m_shapeIdcs), m_candidates, 0, shapeCount, m_rndGen);
// Setup initial shape's positional parameters
float step = (float)(2 * Math.PI / noObjects); // rads
float angle = TSHints[TSHintAttributes.IS_VARIABLE_POSITION] > 0
? (float)(m_rndGen.NextDouble() * step) : 0;
float distance = Math.Min(WrappedWorld.Viewport.Width, WrappedWorld.Viewport.Height) / 3f;
Resize(ref m_targets, noObjects);
for (int i = 0; i < m_targets.Length; i++)
{
// Determine shape position
if (TSHints[IS_VARIABLE_DISTANCE] > 0)
{
distance *= 1 + 0.04f * LearningTaskHelpers.GetRandomGaussian(m_rndGen) * TSHints[RANDOMNESS_LEVEL];
}
PointF pos = new PointF((float)(Math.Cos(angle) * distance), (float)(Math.Sin(angle) * distance));
// Determine shape size
float scale = 1.4f;
if (TSHints[TSHintAttributes.IS_VARIABLE_SIZE] > 0)
{
scale = scale + 0.2f * LearningTaskHelpers.GetRandomGaussian(m_rndGen) * TSHints[RANDOMNESS_LEVEL];
}
SizeF size = new SizeF(16 * scale, 16 * scale);
// Determine shape rotation
float rotation = 0;
if (TSHints[TSHintAttributes.IS_VARIABLE_ROTATION] > 0)
{
rotation = (float)(m_rndGen.NextDouble() * 360);
}
// Determine shape color
Color color = Color.White;
if (TSHints[TSHintAttributes.IS_VARIABLE_COLOR] > 0)
{
color = LearningTaskHelpers.RandomVisibleColor(m_rndGen);
}
// Create the correct shape
m_targets[i] = WrappedWorld.CreateShape((Shape.Shapes)m_shapeIdcs[i], color, pos + centerSz, size, rotation);
angle += step;
}
}
private static int GetSize(float targetSizeStandardDeviation)
{
const int DEFAULT_SIZE = 32;
int size = DEFAULT_SIZE;
if (targetSizeStandardDeviation != 0)
{
float scalingFactor = (float)Math.Pow(2, targetSizeStandardDeviation * LearningTaskHelpers.GetRandomGaussian(m_rand));
size = (int)(scalingFactor * size);
}
return(size);
}
