public GameObject getRandomItemInstance(Transform parent)
{
int rand = RandFuncs.Sample(distribution, (float)(normalItemProbability + itemOptions.Length - 1));
Vector3 position = new Vector3(parent.position.x, parent.position.y + 1, parent.position.z);
GameObject resultingItem = (GameObject)Instantiate(itemOptions[rand], position, Quaternion.identity);
resultingItem.transform.parent = parent;
return(resultingItem);
}
private int getWeight()
{
int weight;
if (diversity == 0)
{
weight = 0;
}
else if (diversity < 0.1)
{
weight = RandFuncs.Sample(new float[] { 0.9f, 0.05f, 0.05f });
}
else if (diversity < 0.2)
{
weight = RandFuncs.Sample(new float[] { 0.8f, 0.1f, 0.1f });
}
else if (diversity < 0.3)
{
weight = RandFuncs.Sample(new float[] { 0.7f, 0.2f, 0.1f });
}
else if (diversity < 0.4)
{
weight = RandFuncs.Sample(new float[] { 0.6f, 0.3f, 0.1f });
}
else if (diversity < 0.5)
{
weight = RandFuncs.Sample(new float[] { 0.5f, 0.35f, 0.15f });
}
else if (diversity < 0.6)
{
weight = RandFuncs.Sample(new float[] { 0.5f, 0.3f, 0.2f });
}
else if (diversity < 0.7)
{
weight = RandFuncs.Sample(new float[] { 0.45f, 0.35f, 0.20f });
}
else if (diversity < 0.8)
{
weight = RandFuncs.Sample(new float[] { 0.4f, 0.35f, 0.25f });
}
else if (diversity < 0.9)
{
weight = RandFuncs.Sample(new float[] { 0.35f, 0.35f, 0.3f });
}
else
{
weight = RandFuncs.Sample(new float[] { 0.33333f, 0.3333f, 0.3333f });
}
return(weight);
}