RandomGenerator ("The Adobe AEM Quickstart and Web Application.")

All Known Implementing Classes:

AbstractRandomGenerator, AbstractWell, BitsStreamGenerator, JDKRandomGenerator, MersenneTwister, RandomAdaptor, Well1024a, Well19937a, Well19937c, Well44497a, Well44497b, Well512a
```
public interface RandomGenerator
```
Interface extracted from java.util.Random. This interface is implemented by AbstractRandomGenerator.

Since:

1.1

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method and Description
`boolean`	`nextBoolean()` Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
`void`	`nextBytes(byte[] bytes)` Generates random bytes and places them into a user-supplied byte array.
`double`	`nextDouble()` Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
`float`	`nextFloat()` Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
`double`	`nextGaussian()` Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
`int`	`nextInt()` Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
`int`	`nextInt(int n)` Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
`long`	`nextLong()` Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
`void`	`setSeed(int seed)` Sets the seed of the underlying random number generator using an `int` seed.
`void`	`setSeed(int[] seed)` Sets the seed of the underlying random number generator using an `int` array seed.
`void`	`setSeed(long seed)` Sets the seed of the underlying random number generator using a `long` seed.

- Method Detail
  - setSeed
```
void setSeed(int seed)
```
    Sets the seed of the underlying random number generator using an int seed.
    Sequences of values generated starting with the same seeds should be identical.
    
    Parameters:
    
    seed - the seed value
  - setSeed
```
void setSeed(int[] seed)
```
    Sets the seed of the underlying random number generator using an int array seed.
    Sequences of values generated starting with the same seeds should be identical.
    
    Parameters:
    
    seed - the seed value
  - setSeed
```
void setSeed(long seed)
```
    Sets the seed of the underlying random number generator using a long seed.
    Sequences of values generated starting with the same seeds should be identical.
    
    Parameters:
    
    seed - the seed value
  - nextBytes
```
void nextBytes(byte[] bytes)
```
    Generates random bytes and places them into a user-supplied byte array. The number of random bytes produced is equal to the length of the byte array.
    
    Parameters:
    
    bytes - the non-null byte array in which to put the random bytes
  - nextInt
```
int nextInt()
```
    Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence. All 2³² possible int values should be produced with (approximately) equal probability.
    
    Returns:
    
    the next pseudorandom, uniformly distributed int value from this random number generator's sequence
  - nextInt
```
int nextInt(int n)
```
    Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
    
    Parameters:
    
    n - the bound on the random number to be returned. Must be positive.
    
    Returns:
    
    a pseudorandom, uniformly distributed int value between 0 (inclusive) and n (exclusive).
    
    Throws:
    
    java.lang.IllegalArgumentException - if n is not positive.
  - nextLong
```
long nextLong()
```
    Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence. All 2⁶⁴ possible long values should be produced with (approximately) equal probability.
    
    Returns:
    
    the next pseudorandom, uniformly distributed long value from this random number generator's sequence
  - nextBoolean
```
boolean nextBoolean()
```
    Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
    
    Returns:
    
    the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence
  - nextFloat
```
float nextFloat()
```
    Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
    
    Returns:
    
    the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence
  - nextDouble
```
double nextDouble()
```
    Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
    
    Returns:
    
    the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence
  - nextGaussian
```
double nextGaussian()
```
    Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
    
    Returns:
    
    the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence

Interface RandomGenerator

Method Summary

Method Detail

setSeed

setSeed

setSeed

nextBytes

nextInt

nextInt

nextLong

nextBoolean

nextFloat

nextDouble

nextGaussian