如何在特定范围内生成随机int值？
以下方法存在与整数溢出相关的错误：
randomNum = minimum + (int)(Math.random() * maximum);
// Bug: `randomNum` can be bigger than `maximum`.
Random rn = new Random();
int n = maximum - minimum + 1;
int i = rn.nextInt() % n;
randomNum = minimum + i;
// Bug: `randomNum` can be smaller than `minimum`.
当前回答
import java.util.Random;
public class RandomSSNTest {
public static void main(String args[]) {
generateDummySSNNumber();
}
//831-33-6049
public static void generateDummySSNNumber() {
Random random = new Random();
int id1 = random.nextInt(1000);//3
int id2 = random.nextInt(100);//2
int id3 = random.nextInt(10000);//4
System.out.print((id1+"-"+id2+"-"+id3));
}
}
您也可以使用
import java.util.concurrent.ThreadLocalRandom;
Random random = ThreadLocalRandom.current();
然而，这个类在多线程环境中表现不佳。
其他回答
以前的大多数建议都不考虑“溢出”。例如：min=整数.min_VALUE，max=100。到目前为止，我采用的正确方法之一是：
final long mod = max- min + 1L;
final int next = (int) (Math.abs(rand.nextLong() % mod) + min);
我已经创建了一个方法来获取给定范围内的唯一整数。
/*
* minNum is the minimum possible random number
* maxNum is the maximum possible random number
* numbersNeeded is the quantity of random number required
* the give method provides you with unique random number between min & max range
*/
public static Set<Integer> getUniqueRandomNumbers( int minNum , int maxNum ,int numbersNeeded ){
if(minNum >= maxNum)
throw new IllegalArgumentException("maxNum must be greater than minNum");
if(! (numbersNeeded > (maxNum - minNum + 1) ))
throw new IllegalArgumentException("numberNeeded must be greater then difference b/w (max- min +1)");
Random rng = new Random(); // Ideally just create one instance globally
// Note: use LinkedHashSet to maintain insertion order
Set<Integer> generated = new LinkedHashSet<Integer>();
while (generated.size() < numbersNeeded)
{
Integer next = rng.nextInt((maxNum - minNum) + 1) + minNum;
// As we're adding to a set, this will automatically do a containment check
generated.add(next);
}
return generated;
}
从Java7开始，您应该不再使用Random。对于大多数用途选择的随机数生成器现在ThreadLocalRandom。用于fork连接池和并行流，使用SplitableRandom。
乔舒亚·布洛赫。有效的Java。第三版。
从Java 8开始
对于fork-join池和并行流，请使用SplittableRandom，它通常更快，与Random相比具有更好的统计独立性和一致性财产。
要生成[0，1_000]范围内的随机整数：
int n = new SplittableRandom().nextInt(0, 1_001);
要生成[0，1_000]范围内的随机整数[100]数组，请执行以下操作：
int[] a = new SplittableRandom().ints(100, 0, 1_001).parallel().toArray();
要返回随机值流：
IntStream stream = new SplittableRandom().ints(100, 0, 1_001);
public static void main(String[] args) {
Random ran = new Random();
int min, max;
Scanner sc = new Scanner(System.in);
System.out.println("Enter min range:");
min = sc.nextInt();
System.out.println("Enter max range:");
max = sc.nextInt();
int num = ran.nextInt(min);
int num1 = ran.nextInt(max);
System.out.println("Random Number between given range is " + num1);
}
有一个图书馆在https://sourceforge.net/projects/stochunit/用于处理范围的选择。
StochIntegerSelector randomIntegerSelector = new StochIntegerSelector();
randomIntegerSelector.setMin(-1);
randomIntegerSelector.setMax(1);
Integer selectInteger = randomIntegerSelector.selectInteger();
它具有边缘包含/排除。
