For example the code below. It has a random class. However it always produce the same output everywhere . In this case which item is the seed?
source: link
import java.util.Random;
public class RandomTest {
public static void main(String[] s) {
Random rnd1 = new Random(42);
Random rnd2 = new Random(42);
System.out.println(rnd1.nextInt(100)+" - "+rnd2.nextInt(100));
System.out.println(rnd1.nextInt()+" - "+rnd2.nextInt());
System.out.println(rnd1.nextDouble()+" - "+rnd2.nextDouble());
System.out.println(rnd1.nextLong()+" - "+rnd2.nextLong());
}
}
42 is the seed, as the very same Javadoc says. So, what is a seed? A random number is seldom truly random - often it's a pseudo-random instead. This means it's generated from a function, which is said PRNG (pseudo random number genrator). Being generated from a function, in turn, means that the output is not random anymore, since it's predictable!
However, depending on your needs, this pseudo-randomness may be enough - I said enough because generating random bit is expensive, and I'm not talking about time or memory, but about money (see this link on wikipedia). So, for example, if you need a random value to place enemies in your game, a pseudo-random number is ok - but if your are building security-related software, you want to use a true random number, or at least a cryptographically secure PRNG.
How can we describe a PRNG, like the one used in Math.random()
? It's a function, initialized with a seed S that returns an array of values A. Note that, for each integer S, is defined one and only one array A. For example (values are not actual):
first call second call third call
seed: 14329 .18 .82 .5
seed: 3989 .7 .02 .93
So you seed you PRNG with some known value when you want its result to be predictable - for example for testing purposes or to ensure that, each time you run level 1 in your game, the enemies are always placed in the same (pseudo) random places - otherwise you don't need to explicitely pass a seed.