Package com.google.gwt.user.client

Class Random

java.lang.Object
com.google.gwt.user.client.Random
public final class Random extends Object
This class can be used as a substitute for Random. The semantics differ in that the underlying browser's implementation is used. The random generator cannot be seeded or otherwise used to reproduce a particular sequence of results.

  • Method Summary

    Modifier and Type
    Method
    Description
    static boolean
    nextBoolean()
    Returns true or false with roughly equal probability.
    static double
    nextDouble()
    Returns a random double between 0 (inclusive) and 1 (exclusive).
    static int
    nextInt()
    Returns a random int between -2147483648 and 2147483647 (inclusive) with roughly equal probability of returning any particular int in this range.
    static int
    nextInt(int upperBound)
    Returns a random int between 0 (inclusive) and upperBound (exclusive) with roughly equal probability of returning any particular int in this range.

    Methods inherited from class java.lang.Object

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

  • Method Details

    • nextBoolean

      public static boolean nextBoolean()
      Returns true or false with roughly equal probability. The underlying browser's random implementation is used.

    • nextDouble

      public static double nextDouble()
      Returns a random double between 0 (inclusive) and 1 (exclusive). The underlying browser's random implementation is used.

    • nextInt

      public static int nextInt()
      Returns a random int between -2147483648 and 2147483647 (inclusive) with roughly equal probability of returning any particular int in this range. The underlying browser's random implementation is used.

    • nextInt

      public static int nextInt(int upperBound)
      Returns a random int between 0 (inclusive) and upperBound (exclusive) with roughly equal probability of returning any particular int in this range. The underlying browser's random implementation is used.