c# – 随机遇到不是随机的

你好我有一些问题生成随机数与C#
现在我有这个功能.

public Color getRandomColor()
{
    Color1 = new Random().Next(new Random().Next(0,100),new Random().Next(200,255));
    Color2 = new Random().Next(new Random().Next(0,255));
    Color3 = new Random().Next(new Random().Next(0,255));
    Color color = Color.FromArgb(Color1,Color2,Color3);
    Console.WriteLine("R: " + Color1 + " G: " + Color2 + " B: " + Color3 + " = " + color.Name);
    return color;
}

现在你可能会注意到有一些新的Random()存在,这是因为我想要清除它可能是同一个实例错误的概率.

我现在运行这个功能8次,几次.
现在这里是外卖.

R: 65 G: 65 B: 65 = ff414141
R: 242 G: 242 B: 242 = fff2f2f2
R: 205 G: 205 B: 205 = ffcdcdcd
R: 40 G: 40 B: 40 = ff282828
R: 249 G: 249 B: 249 = fff9f9f9
R: 249 G: 249 B: 249 = fff9f9f9
R: 94 G: 94 B: 94 = ff5e5e5e
R: 186 G: 186 B: 186 = ffbababa

R: 142 G: 142 B: 142 = ff8e8e8e
R: 190 G: 190 B: 190 = ffbebebe
R: 19 G: 19 B: 19 = ff131313
R: 119 G: 119 B: 119 = ff777777
R: 119 G: 119 B: 119 = ff777777
R: 75 G: 75 B: 75 = ff4b4b4b
R: 169 G: 169 B: 169 = ffa9a9a9
R: 127 G: 127 B: 127 = ff7f7f7f

R: 73 G: 73 B: 73 = ff494949
R: 27 G: 27 B: 27 = ff1b1b1b
R: 125 G: 125 B: 125 = ff7d7d7d
R: 212 G: 212 B: 212 = ffd4d4d4
R: 174 G: 174 B: 174 = ffaeaeae
R: 0 G: 0 B: 0 = ff000000
R: 0 G: 0 B: 0 = ff000000
R: 220 G: 220 B: 220 = ffdcdcdc

你可以看到这不是再次随机,但为什么会发生这种情况呢？我该怎么对付呢？

解决方法

您正在为您需要的每个单一值创建一个新的随机.

尝试创建一个唯一的Random对象并多次调用.Next()函数.

public Color getRandomColor()
{
    Random rand = new Random();

    Color1 = rand.Next(rand.Next(0,rand.Next(200,255));
    Color2 = rand.Next(rand.Next(0,255));
    Color3 = rand.Next(rand.Next(0,Color3);
    Console.WriteLine("R: " + Color1 + " G: " + Color2 + " B: " + Color3 + " = " + color.Name);
    return color;
}

取自MSDN documentation on Random object：

By default,the parameterless constructor of the Random class uses the system clock to generate its seed value,while its parameterized constructor can take an Int32 value based on the number of ticks in the current time. However,because the clock has finite resolution,using the parameterless constructor to create different Random objects in close succession creates random number generators that produce identical sequences of random numbers