Pseudo Random Distribution Bool

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Return a random boolean value based on the input probability and count.Make the random results closer to the expected value.The supported probability precision is 3 decimal places.

This function is used to generate pseudo-random boolean values, commonly employed in gameplay scenarios that require random decision-making.

For example, it can be used to determine if a player triggers a critical hit.With the same 50% critical hit rate, in 100 attacks, there could be a lucky streak of 10 consecutive critical hits or an unfortunate streak of 10 consecutive non-critical hits.

To avoid such lucky and unlucky situations, the Pseudo Random Distribution (PRD) algorithm was introduced.

The PRD algorithm is defined as:

P(N) = C * N

Where N represents the current number of attacks, P(N) represents the critical hit rate for the current attack, and C is the probability increment. If a critical hit occurs during the current attack, N is reset to 1. If no critical hit occurs, N is increased by 1.

根据输入的概率和计数返回随机布尔值。使随机结果更接近数学期望值。支持的概率精度为小数点后3位。

例如，可以用来决定玩家是否触发暴击。同样50%暴击率，在100次攻击中，可能会出现连续10次攻击暴击的幸运情况，或者连续10次攻击不暴击的不幸情况。

为了避免出现这种幸运和不幸情况，Pseudo Random Distribution (PRD) 算法出现了。

PRD算法的为：

P(N) = C * N

N表示当前攻击的次数，P(N)表示当前攻击的暴击率，C为概率增量。如果我们这次攻击产生了暴击，则需要将 N 重置为 1，如果这次攻击没有产生暴击，则 N + 1。