按權重產生隨機數
阿新 • • 發佈:2018-11-24
題目
實現一個抽獎功能。共有N中獎品,每種獎品都有一個對應的權重(整數),該獎品被抽到的概率與其權重成正比。假設獎品i的權重為weights[i],0 <= i < N,wieghts是長度為N的int陣列,實現以下函式,返回抽中的獎品的編號。
舉例:假設weights的內容為{10,20,20},那麼應該有20%的概率返回0號獎品,40%的概率返回1號獎品,40%的概率返回2號獎品。
注:你可以使用的隨機數相關的系統函式為int rand(int n),此函式返回值為[0,n)之間均勻分佈的一個隨機整數。
int randomByWeight(int[] weights)
{
}
程式碼
using System;
public class Test
{
public static void Main()
{
int[] weights = new int[]{5, 5, 3, 1};
int number = RandomByWeight(weights);
Console.WriteLine("return prize is {0}", number);
}
public static int RandomByWeight(int[] weights)
{
for (int i = 1; i < weights.Length; i++)
{
weights[i] += weights[i-1];
Console.WriteLine("weights[{0}] = {1}", i, weights[i]);
}
int sum = weights[weights.Length-1];
int number_rand = rand(sum);
Console.WriteLine("number_rand = {0}", number_rand);
if (0 <= number_rand && number_rand < weights[0])
{Console.WriteLine("{0} <= {1} < weights[0]={2}", 0, number_rand, weights[0]);return 0;}
for(int i = 1; i < weights.Length; i++)
{
if(weights[i-1] <= number_rand && number_rand < weights[i])
{
Console.WriteLine("weights[{0}]={1} <= {2} < weights[{3}]={4}", i-1, weights[i-1], number_rand, i, weights[i]);
return i;
}
}
return -1;
}
static int rand(int n)
{
Random rd = new Random();
return rd.Next(0, n);
}
}
輸出
weights[1] = 10
weights[2] = 13
weights[3] = 14
number_rand = 12
weights[1]=10 <= 12 < weights[2]=13
return reward is 2
補充
- 將 0 <= number_rand && number_rand < weights[0] 這種情況單獨拿出來,避免在for迴圈中判斷影響效率。
改進後的程式碼
using System;
public class Test
{
public static void Main()
{
int[] table = new int[]{10, 20, 30, 40, 50};
Console.WriteLine("result = " + RandomByWeight(table));
}
public static int RandomByWeight(int[] weights)
{
int sum = 0;
for(int i = 0; i < weights.Length; i++)
{
sum += weights[i];
}
int number_rand = rand(sum);
Console.WriteLine("number_rand = " + number_rand);
int sum_temp = 0;
for(int i = 0; i < weights.Length; i++)
{
sum_temp += weights[i];
if(number_rand <= sum_temp){return i;}
}
return -1;
}
static int rand(int n)
{
Random rd = new Random();
return rd.Next(0, n);
}
}
輸出
number_rand = 46
result = 2