Random
🌱初步完成
本文中内容已经初步完成，能够正常提供参考，但存在可能的错漏/亟待改进部分。
提示
此处介绍Internal.Random的相关信息。
类型定义
- 通过ProbeJS查看其API文档。
- 其实现RandomGenerator与Serializable接口，意味着其具有生成随机数的功能，Serializable只是一个标记其为可序列化的类的接口，其没有定义任何方法，这里无需关注。
ts
class Random implements Internal.RandomGenerator, Internal.Serializable {
constructor()
constructor(arg0: number)
getClass(): typeof any;
ints(arg0: number, arg1: number): Internal.IntStream;
nextFloat(arg0: number): number;
static getDefault(): Internal.RandomGenerator;
nextLong(): number;
nextDouble(): number;
nextLong(arg0: number, arg1: number): number;
notify(): void;
nextGaussian(): number;
wait(arg0: number, arg1: number): void;
doubles(arg0: number, arg1: number, arg2: number): Internal.DoubleStream;
nextDouble(arg0: number): number;
nextInt(arg0: number): number;
nextFloat(): number;
nextLong(arg0: number): number;
ints(arg0: number, arg1: number, arg2: number): Internal.IntStream;
nextFloat(arg0: number, arg1: number): number;
static of(arg0: string): Internal.RandomGenerator;
doubles(): Internal.DoubleStream;
nextInt(): number;
nextBytes(arg0: number[]): void;
longs(arg0: number): Internal.LongStream;
longs(arg0: number, arg1: number, arg2: number): Internal.LongStream;
toString(): string;
nextBoolean(): boolean;
notifyAll(): void;
nextDouble(arg0: number, arg1: number): number;
setSeed(arg0: number): void;
nextExponential(): number;
longs(arg0: number, arg1: number): Internal.LongStream;
nextInt(arg0: number, arg1: number): number;
longs(): Internal.LongStream;
isDeprecated(): boolean;
doubles(arg0: number): Internal.DoubleStream;
nextGaussian(arg0: number, arg1: number): number;
ints(): Internal.IntStream;
ints(arg0: number): Internal.IntStream;
hashCode(): number;
wait(): void;
wait(arg0: number): void;
doubles(arg0: number, arg1: number): Internal.DoubleStream;
equals(arg0: any): boolean;
get class(): typeof any
get "default"(): Internal.RandomGenerator
set seed(arg0: number)
get deprecated(): boolean
}实例创建
- 通过Utils的getRandom方法获取Random对象，注意该方法始终返回同一个Random对象。
js
let random = Utils.getRandom();如何使用
生成随机数
- 参见RandomGenerator 。
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