[英]Extensible biased number generator - Python
I am trying to get a random number generator that will be biased in that it takes a number, and prints a number that is likely to be close. 我试图获得一个随机数生成器,它将偏向于需要一个数字,并打印一个可能接近的数字。 Here's what I have now:
这就是我现在拥有的:
def biasedRandom(rangen, rangex, target, biaslevel=1):
if rangen > rangex:
raise ValueError("Min value is less than max value.")
return
if not target in range(rangen, rangex):
raise ValueError("Bias target not inside range of random.")
return
num = random.randint(rangen, rangex)
for i in range(biaslevel):
distance = abs(num - target)
num -= random.randint(0, distance)
return num
This works pretty well, however it has on occasion given completely outrageous numbers; 这很好用,但它有时会给出完全无耻的数字; eg it once gave
-246174068358
for (1,100,30,60)
. 例如,曾经给过
-246174068358
(1,100,30,60)
。 I figure there is just a bug in there that I am not seeing. 我认为那里只有一个我没有看到的错误。
Thanks in advance. 提前致谢。
raise exits the function - you do not need to follow raise with return raise退出函数 - 你不需要跟随加注返回
target in range(lo, hi) is inefficient; 范围内的目标(lo,hi)是低效的; why not lo <= target < hi?
为什么不lo <= target <hi?
Edit: 编辑:
import random
def biasedRandom(lo, hi, target, steps=1):
if lo >= hi:
raise ValueError("lo should be less than hi")
elif target < lo or target >= hi:
raise ValueError("target not in range(lo, hi)")
else:
num = random.randint(lo, hi)
for i in range(steps):
num += int(random.random() * (target - num))
return num
As steps is increased, this will pretty rapidly converge on target; 随着步骤的增加,这将很快收敛到目标; you might want to do some trial distributions to make sure that you are getting what you expected, or try using random.gauss instead.
您可能希望进行一些试验分发,以确保获得预期,或尝试使用random.gauss。
在计算num的最后一行,你是否在想这样的事情?
num = abs(num - random.randint(0,distance))
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