public static System.Func <float, float, float> ChooseFunc(Defines.GeneratorLayer layerParams)
{
var scale = layerParams.scale;
var offset = layerParams.offset;
var funcType = layerParams.function;
switch (funcType)
{
case GeneratingFunctionType2d.Sines:
return((x, y) => GeneratorMethods2d.Sines(
(x + offset.x) / scale, (y + offset.y) / scale));
case GeneratingFunctionType2d.DiagLines:
return((x, y) => GeneratorMethods2d.DiagonalLines(
(x + offset.x), (y + offset.y), scale));
case GeneratingFunctionType2d.Perlin:
return((x, y) => GeneratorMethods2d.BasicPerlin(
(x + offset.x) / scale, (y + offset.y) / scale));
case GeneratingFunctionType2d.Squares:
return((x, y) => GeneratorMethods2d.Squares(
(x + offset.x) / scale, (y + offset.y) / scale));
default:
return((x, y) => 1 / ((x + offset.x) / scale + (y + offset.y) / scale));
}
}
public static Defines.GeneratorLayer[] GetRandomLayers(int seed, int layerNum)
{
Defines.GeneratorLayer[] result = new Defines.GeneratorLayer[layerNum];
var rng = new System.Random(seed);
for (int i = 0; i < layerNum; i++)
{
result[i] = GetRandomLayer(rng);
}
return(result);
}
public static Defines.GeneratorLayer GetRandomLayer(System.Random rng)
{
Defines.GeneratorLayer result = new Defines.GeneratorLayer {
function = (GeneratingFunctionType2d)rng.Next(
System.Enum.GetValues(typeof(GeneratingFunctionType2d)).Length),
scale = rng.Next(5, 500),
significance = (float)rng.NextDouble() % 1f,
offset = new Vector2((float)rng.NextDouble(), (float)rng.NextDouble())
};
return(result);
}
