private bool IsFarEnough(Vector2 sample)
{
GridPos pos = new GridPos(sample, cellSize);
int xmin = Mathf.Max(pos.x - 2, 0);
int ymin = Mathf.Max(pos.y - 2, 0);
int xmax = Mathf.Min(pos.x + 2, grid.GetLength(0) - 1);
int ymax = Mathf.Min(pos.y + 2, grid.GetLength(1) - 1);
//randomly modify the radius to cluster the samples
float modRad2 = radius2 * CustomMathf.RemapValue(Mathf.PerlinNoise(sample.x + Random.seed, sample.y + Random.seed), clusterRange.x, clusterRange.y);
for (int y = ymin; y <= ymax; y++)
{
for (int x = xmin; x <= xmax; x++)
{
Vector2 s = grid[x, y];
if (s != Vector2.zero)
{
Vector2 d = s - sample;
if (d.x * d.x + d.y * d.y < modRad2)
{
return(false);
}
}
}
}
return(true);
// Note: we use the zero vector to denote an unfilled cell in the grid. This means that if we were
// to randomly pick (0, 0) as a sample, it would be ignored for the purposes of proximity-testing
// and we might end up with another sample too close from (0, 0). This is a very minor issue.
}
public void AttemptSpawn(Vector3 samplePoint, TerrainObjectType terrainObjectSettings, bool randomAge, bool checkSurroundings)
{
float viability = terrainObjectSettings.TestViability(ref samplePoint, checkSurroundings);
if (viability <= terrainObjectSettings.viabilitySettings.minViability)
{
return;
}
float viabilityPercentage = CustomMathf.RemapValue(viability, terrainObjectSettings.viabilitySettings.minViability, 1f, true);
float num = !randomAge ? 0.0f : initialAgeDistribution.GetValue(Random.value) * terrainObjectSettings.dna.lifetime.minOutputValue * LevelController.Instance.yearLength;
var newObject = terrainObjectSettings.SpawnFoliageObject(samplePoint, Time.time - num, viabilityPercentage, reproduceAnnually);
if (newObject.GetType() == typeof(FoliageObject))
{
AddFoliageObject((FoliageObject)newObject);
}
else
{
AddTerrainObject(newObject);
}
}
private static float GetRandomRange(AnimationCurve smoothingCurve, float min, float max)
{
return(CustomMathf.RemapValue(smoothingCurve.Evaluate(Random.value), min, max, false));
}