Random.nextInt（1）;只返回1

Question

这是我的Minecraft mod算法。出于某种原因，似乎rand.nextInt(1);只返回1。为什么？

public void generate(){ 
    Random rand = new Random(); 
    Arrays.fill(wc,null); 
    int c = generateCat();//Generates a int of 1-16 randomly 
    int i = 0; 
    int xi = 0; 
    int x = getCoordX(); 
    int y = getCoordY(); 
    int maxc = 0; 
    boolean d1 = true; 
    boolean d2 = false; 
    boolean d3 = false; 
    boolean d4 = false; 
    boolean loop = true; 

    wc[0] = new WeatherChunk(world,x,y,c);//Here the starting object is generated 
    x=x-1; 
    if(rand.nextInt(1)==1){//Here the c value (is supposed to have a 50% chance of reducing) But it never does EVER!? 
     c=getHNChunkCat(x,y); 
     c--; 
     wc[1] = new WeatherChunk(world,x,y,c);//Here the c value (is supposed to have a 50% chance of reducing) But it never does EVER!? 
    }else{ 
     c=getHNChunkCat(x,y); 
     wc[1] = new WeatherChunk(world,x,y,c); 
    } 
    x=x+2; 
    if(rand.nextInt(1)==1){ 
     c=getHNChunkCat(x,y); 
     c--; 
     wc[2] = new WeatherChunk(world,x,y,c); 
    }else{ 
     c=getHNChunkCat(x,y); 
     wc[2] = new WeatherChunk(world,x,y,c); 
    } 
    x=x-1; 
    y++; 

    if(rand.nextInt(1)==1){ 
     c=getHNChunkCat(x,y); 
     c--; 
     wc[3] = new WeatherChunk(world,x,y,c); 
    }else{ 
     c=getHNChunkCat(x,y); 
     wc[3] = new WeatherChunk(world,x,y,c); 
    } 
    y=y-2; 
    if(rand.nextInt(1)==1){ 
     c=getHNChunkCat(x,y); 
     c--; 
     wc[4] = new WeatherChunk(world,x,y,c); 
    }else{ 
     c=getHNChunkCat(x,y); 
     wc[4] = new WeatherChunk(world,x,y,c); 
    } 
    y=wc[0].coordY; 
    x=wc[0].coordX-2; 
    i=5; 

    while(loop){ 
       d1=true; 
       while(d1){ 
        if(chunkExists(x+1,y)){ 
         if(getHNChunkCat(x,y)>maxc)maxc=getHNChunkCat(x,y); 
         if(rand.nextInt(1)==1){ 
          c=getHNChunkCat(x,y); 
          c--; 
          wc[i] = new WeatherChunk(world,x,y,c); 
         }else{ 
          c=getHNChunkCat(x,y); 
          wc[i] = new WeatherChunk(world,x,y,c); 
         } 
         x++; 
         y++; 
         i++; 
        }else{ 
         d1=false; 
        } 
       } 
       d2=true; 
       while(d2){ 
        if(chunkExists(x,y-1)){ 
         if(getHNChunkCat(x,y)>maxc)maxc=getHNChunkCat(x,y); 
         if(rand.nextInt(1)==1){ 
          c=getHNChunkCat(x,y); 
          c--; 
          wc[i] = new WeatherChunk(world,x,y,c); 
         }else{ 
          c=getHNChunkCat(x,y); 
          wc[i] = new WeatherChunk(world,x,y,c); 
         } 
         x++; 
         y--; 
         i++; 
        }else{ 
         d2=false; 
        } 
       } 
       d3=true; 
       while(d3){ 
        if(chunkExists(x-1,y)){ 
         if(getHNChunkCat(x,y)>maxc)maxc=getHNChunkCat(x,y); 
         if(rand.nextInt(1)==1){ 
          c=getHNChunkCat(x,y); 
          c--; 
          wc[i] = new WeatherChunk(world,x,y,c); 
         }else{ 
          c=getHNChunkCat(x,y); 
          wc[i] = new WeatherChunk(world,x,y,c); 
         } 
         x--; 
         y--; 
         i++; 
        }else{ 
         d3=false; 
        } 
       } 
       d4=true; 
       while(d4){ 

        if(chunkExists(x-1,y)){ 
         if(getHNChunkCat(x,y)>maxc)maxc=getHNChunkCat(x,y); 
         if(rand.nextInt(1)==1){ 
          c=getHNChunkCat(x,y); 
          c--; 
          wc[i] = new WeatherChunk(world,x,y,c); 
         }else{ 
          c=getHNChunkCat(x,y); 
          wc[i] = new WeatherChunk(world,x,y,c); 
         } 
         x--; 
         y++; 
         i++; 
         if(chunkExists(x,y)){ 
         d4=false; 
         break; 
        } 
        }else{ 
         d4=false; 
        } 
       } 

       y=wc[0].coordY; 
       x=wc[0].coordX; 
       xi=0; 

       while(true){ 
        if(!chunkExists(x-xi,y)){ 
         x=x-xi; 
         break; 
        }else{ 
         xi++; 
        } 
       } 

       if(maxc==0){ 
        loop=false; 
       } 
    } 

    cleanChunks(); 
    WEATHER.addChunkArray(wc2); 

} 

香港专业教育学院还试图

wc[1] = new WeatherChunk(world,x,y,(getHNChunkCat()-rand.nextInt(1))); 

Answer 1

您还没有足够的调试，因为那是不可能的。确实，您只会收到一个值，但它是0，而不是1。

从the docs：

返回一个伪随机，均匀分布的int值介于0（含）和指定值（独家）

如果你想有一个50％的机会，我建议你把它变成nextInt(2)或@ Flynn1179建议：nextBoolean()。

Answer 2

你想获得0到1之间的小数吗？使用此：

Math.random() // returns a random double 

的nextInt方法只返回0之间，并指定参数的随机数，但不包括参数。因此，你应该总是得到0.