Package io.github.krandom

Class KRandom

  • All Implemented Interfaces:
    java.io.Serializable , java.util.random.RandomGenerator 
    
public class KRandom
extends Random

    Extension of java.util.Random that is able to generate random Java objects.

    Author:

    Mahmoud Ben Hassine ([email protected])

    • Nested Class Summary

      Nested Classes 
      Modifier and Type Class Description

    • Field Summary

      Fields 
      Modifier and Type Field Description

    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description

    • Method Summary

      Modifier and Type Method Description
      <T> T nextObject(Class<T> type) Generate a random instance of the given type.
      <T> Stream<T> objects(Class<T> type, int streamSize) Generate a stream of random instances of the given type.

      • Methods inherited from class java.util.Random

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

      • Methods inherited from class java.util.random.RandomGenerator

        getDefault, isDeprecated, nextExponential, of

      • Methods inherited from class java.lang.Object

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

    • Constructor Detail

      • KRandom

        KRandom()
        Create a new KRandom instance with default parameters.

      • KRandom

        KRandom(KRandomParameters kRandomParameters)
        Create a new KRandom instance.
        Parameters:
        kRandomParameters - randomization parameters

    • Method Detail

      • nextObject

         <T> T nextObject(Class<T> type)

        Generate a random instance of the given type.

        Parameters:
        type - the type for which an instance will be generated
        Returns:

        a random instance of the given type

      • objects

         <T> Stream<T> objects(Class<T> type, int streamSize)

        Generate a stream of random instances of the given type.

        Parameters:
        type - the type for which instances will be generated
        streamSize - the number of instances to generate
        Returns:

        a stream of random instances of the given type