org.ow2.clif.util

Class Random

java.lang.Object

java.util.Random

org.ow2.clif.util.Random

All Implemented Interfaces:

java.io.Serializable

public class Random
extends java.util.Random

This class extends Java's basic random features with extra primitives that are likely to be useful to introduce random parameters in requests and testing scenarios...

Author:

Bruno Dillenseger

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Random()
Random(long seed)

Method Summary

Modifier and Type	Method and Description
java.io.InputStream	getInputStream() Input stream access to the random generator.
long	nextGaussian(int min, int max, int mean, int deviation) Gaussian law distribution
long	nextNegativeExponential(int min, int mean) Negative exponential law distribution
long	nextPoisson(double parameter, int factor) Poisson law distribution
java.lang.StringBuilder	nextStringBuilder(int length)
long	nextUniform(int min, int max) Uniform distribution

Methods inherited from class java.util.Random

doubles, doubles, doubles, doubles, ints, ints, ints, ints, longs, longs, longs, longs, next, nextBoolean, nextBytes, nextDouble, nextFloat, nextGaussian, nextInt, nextInt, nextLong, setSeed

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Random

public Random()

See Also:

Random()

Random

public Random(long seed)

Parameters:

seed -

See Also:

Random(long)

Method Detail

nextUniform

public long nextUniform(int min,
                        int max)

Uniform distribution

Parameters:

min - minimum value (inclusive)

max - maximum value (exclusive)

Returns:

a random value according to a uniform distribution

nextPoisson

public long nextPoisson(double parameter,
                        int factor)

Poisson law distribution

Parameters:

factor - the result is multiplied by this factor

parameter - both mean and deviation value for the Poisson law

Returns:

a random value according to a Poisson law distribution

nextGaussian

public long nextGaussian(int min,
                         int max,
                         int mean,
                         int deviation)

Gaussian law distribution

Parameters:

min - minimum value

max - maximum value

mean - values mean

deviation - values deviation

Returns:

a random value according to a gaussian law distribution

nextNegativeExponential

public long nextNegativeExponential(int min,
                                    int mean)

Negative exponential law distribution

Parameters:

min - minimum value

mean - values mean

Returns:

a random value according to a negative exponential law distribution

nextStringBuilder

public java.lang.StringBuilder nextStringBuilder(int length)

Parameters:

length - the number of characters of the generated string

Returns:

a random character string of the specified length

getInputStream

public java.io.InputStream getInputStream()

Input stream access to the random generator.

Returns:

an input stream generating uniformly distributed random values between 0 and 255 included. This input stream does not support the mark operation.