Object/Class

scalaprops

TinyMT32

Related Docs: class TinyMT32 | package scalaprops

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object TinyMT32 extends Serializable

TinyMT is a pseudo random number generator.

To get an instance, call TinyMT32.getDefault

This class supports jump function. User can get an array of pseudo random number generators by calling TinyMT32#getDefaultArray

Source
TinyMT32.scala
See also

TinyMT web page

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def getDefault(): TinyMT32

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    Factory method which returns the TinyMT with the first generated parameter of TinyMTDC.

    Factory method which returns the TinyMT with the first generated parameter of TinyMTDC. System#nanoTime and Thread#getId() are used for seed.

    returns

    TinyMT with the first parameter.

  11. def getDefault(seeds: Array[Int]): TinyMT32

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    get default TinyMT32 with seeding by array.

    get default TinyMT32 with seeding by array.

    seeds

    seeds for initialization.

    returns

    random number generator TinyMT32

  12. def getDefault(seed: Long): TinyMT32

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    Factory method which returns the TinyMT with the first generated parameter of TinyMTDC.

    Factory method which returns the TinyMT with the first generated parameter of TinyMTDC.

    seed

    seed of pseudo random numbers.

    returns

    TinyMT with the first parameter.

  13. def getDefault(seed: String): TinyMT32

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    Factory method which returns the TinyMT with the first generated parameter of TinyMTDC.

    Factory method which returns the TinyMT with the first generated parameter of TinyMTDC.

    seed

    seed of pseudo random numbers.

    returns

    TinyMT with the first parameter.

  14. def getDefaultArray(count: Int, seed: String, jump: Long): Array[TinyMT32]

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    Make and return an array of TinyMT.

    Make and return an array of TinyMT. Each element has the same characteristic polynomial with TinyMT gotten by getDefaultMT. Especially, the first element is just same as default TinyMT. The second element has the state of jump * 264 steps after the first element. In other word, the first element will generate the same sequence with the second element, after jump * 264 pseudo random number generation.

    This is equals to TinyMT32.getDefault(seed).getJumpedArray(count, jump);

    count

    number of TinyMT to be created.

    seed

    seed of first element

    jump

    step is jump * 264

    returns

    array of TinyMT

  15. def getDefaultArray(count: Int, seed: Long, jump: Long): Array[TinyMT32]

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    make and return an array of TinyMT.

    make and return an array of TinyMT. Each element has the same characteristic polynomial with TinyMT gotten by getDefaultMT. Especially, the first element is just same as default TinyMT. The second element has the state of jump * 264 steps after the first element. In other word, the first element will generate the same sequence with the second element, after jump * 264 pseudo random number generation.

    count

    number of TinyMT to be created.

    seed

    seed of first element

    jump

    step is jump * 264

    returns

    array of TinyMT

  16. def getThreadLocal(threadId: Long): TinyMT32

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    return TinyMT32 instance whose parameter has ID = 1.

    return TinyMT32 instance whose parameter has ID = 1.

    threadId

    thread ID

    returns

    TinyMT32 instance

  17. def hashCode(): Int

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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  22. final def synchronized[T0](arg0: ⇒ T0): T0

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  23. def toString(): String

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  24. final def wait(): Unit

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  25. final def wait(arg0: Long, arg1: Int): Unit

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  26. final def wait(arg0: Long): Unit

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