随机相关内容 C#实现 Unity直接可用
洗牌代码
//Fisher-Yates shuffle
static void Shuffle
{
int n = array.Length;
for (int i = 0; i < n; i++)
{
int r = i + Random.Range(0, n - i);
T t = array[r];
array[r] = array[i];
array[i] = t;
}
}
带权重随机代码
static public int GetRandomWeightedIndex(float[] weights)
{
// Get the total sum of all the weights.
float weightSum = 0;
for (int i = 0; i < weights.Length; ++i)
{
weightSum += weights[i];
}
// Step through all the possibilities, one by one, checking to see if each one is selected.
int index = 0;
int lastIndex = weights.Length - 1;
while (index < lastIndex)
{
// Do a probability check with a likelihood of weights[index] / weightSum.
if (Random.Range(0, weightSum) < weights[index])
{
return index;
}
// Remove the last item from the sum of total untested weights and try again.
weightSum -= weights[index++];
}
// No other item was selected, so return very last index.
return index;
}
伪随机C系数生成代码
static public float CfromP(float p)
{
float Cupper = p;
float Clower = 0f;
float Cmid;
float p1;
float p2 = 1f;
while (true)
{
Cmid = (Cupper + Clower) / 2f;
p1 = PfromC(Cmid);
if (Mathf.Abs(p1 - p2) <= 0f) break;
if (p1 > p)
{
Cupper = Cmid;
}
else
{
Clower = Cmid;
}
p2 = p1;
}
return Cmid;
}
private float PfromC(float C)
{
float pProcOnN = 0f;
float pProcByN = 0f;
float sumNpProcOnN = 0f;
int maxFails = Mathf.CeilToInt(1f / C);
for (int N = 1; N <= maxFails; ++N)
{
pProcOnN = Mathf.Min(1f, N * C) * (1 - pProcByN);
pProcByN += pProcOnN;
sumNpProcOnN += N * pProcOnN;
}
return (1f / sumNpProcOnN);
}
关于如何使用这上述C系数
每次触发概率从一个值开始递增，第N次的触发概率P(N) = C * N，比如25%的几率，C值大概为8.5%，运算流程如下：
第一次触发眩晕概率为8.5%
第二次为17%，以此类推递增
如果触发眩晕成功，则概率重新从8.5%开始递增计算。
unity学习交流群可以点击加入一起学习交流