常用类:

aaarticlea/png;base64,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" alt="" />

格式化人民币:

aaarticlea/png;base64,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" alt="" />

基于随机数类Random的三色球摇奖Demo:

package randomdemo;

import java.util.Arrays;
import java.util.Random; /*
* 随机数实现双色球demo
*/
public class RandomDemo {
public static void main(String[] args) {
//球池
int[] ballpool = new int[33];
for(int i=0; i< ballpool.length ; i++){
ballpool[i] = i+1;
}
//创建红球奖池
int[] redResult = new int[6];
int length = 0;
//标记池,默认为false
boolean[] isUsed = new boolean[33];
Random rd = new Random();
//生成红球奖池
while(true){
int red = rd.nextInt(33);
//去重
if(isUsed[red]==true){
continue;
}
//将选中的红球放入结果中,然后数组长度自增
redResult[length++] = ballpool[red];
//循环出口
if(length == 6) break;
//去重
isUsed[red] = true;
}
//将数组排序
Arrays.sort(redResult);
//篮球奖池
int blueResult = rd.nextInt(16);
System.out.println("红球奖池:");
for(int i : redResult){
System.out.print(i+" ");
}
System.out.println("\n蓝球奖池: \n"+blueResult); }
}

六 一些常用类:Random、BigInteger、BigDecimal、DecimalFormat的更多相关文章

  1. Java基础知识二次学习--第六章 常用类

    第六章 常用类   时间:2017年4月26日16:14:49~2017年4月26日16:56:02 章节:06章_01节~06章_06节 视频长度:20:57+1:15+8:44+1:26+11:2 ...

  2. 【Java常用类】BigInteger

    BigInteger Integer类作为int的包装类,能存储的最大整型值为2^31-1,Long类也是有限的, 最大为2 ^63-1.如果要表示再大的整数,不管是基本数据类型还是他们的包装类 都无 ...

  3. java总结第四次//常用类

    六.常用类 主要内容:Object类.String类.Date类.封装类 (一)Object类 1.Object类是所有Java类的根父类 2.如果在类的声明中未使用extends关键字指明其父类,则 ...

  4. java常用类详细介绍及总结:字符串相关类、日期时间API、比较器接口、System、Math、BigInteger与BigDecimal

    一.字符串相关的类 1.String及常用方法 1.1 String的特性 String:字符串,使用一对""引起来表示. String声明为final的,不可被继承 String ...

  5. Java中的常用类:包装类、String、StringBuffer、StringBuilder、Math、System、Arrays、BigInteger、BigDecimal、Data、Calendar

    一.包装类 √ 二.String类 ★ 三.StringBuffer和StringBuilder类 ★ 四.Math类 五.System类 六.Arrays类 七.BigInteger类和BigDec ...

  6. 处理数字的类 —— Math类 、 Random类 、 BigDecimal类 与 BigInteger类

    在我们学习C语言时,我们处理数据时要调用很多函数,那么,Java也有很多的方法可以来处理数值的类. 那么,在本篇博文中,本人就来讲解三个用于处理数值的类 -- Math类 . Random类 与 Bi ...

  7. Java常用类之String类、Stringbuffer和Random类练习

    定义一个StringBuffer类对象, 1)使用append方法向对象中添加26个字母,并倒序遍历输入 2)删除前五个字符 package 第十一章常用类; /** * 定义一个StringBuff ...

  8. java 对小数位的处理 BigDecimal DecimalFormat 常用操作 浅解

    [博客园cnblogs笔者m-yb原创, 转载请加本文博客链接,笔者github: https://github.com/mayangbo666,公众号aandb7,QQ群927113708] htt ...

  9. Java常用API(Random类)

    Java常用API(Random类) Random:是一个用于生成随机数的类 构造方法 public Random() :创建一个新的随机数生成器. 返回随机数的方法 public int nextI ...

随机推荐

  1. c#活动目录操作

    c#活动目录操作  https://www.cnblogs.com/ahuo/archive/2007/03/16/676853.html 添加引用 System.DirectoryServices导 ...

  2. 3.ORM框架一对多的关系及使用

    一对多就是主键与外键的关系,通过一个用户表,角色表进行举例子 角色表role:有外键,对应的是user表的主键 用户表users: from flask import Flask, render_te ...

  3. spark实验(一)--linux系统常见命令及其文件互传(2)

    2.使用 Linux 系统的常用命令 启动 Linux 虚拟机,进入 Linux 系统,通过查阅相关 Linux 书籍和网络资料,或者参考 本教程官网的“实验指南”的“Linux 系统常用命令”,完成 ...

  4. pytest框架,使用print在控制台输入

    代码示例: import pytest@pytest.fixture(autouse=True,scope='session') #autouse=True,scope='session'def se ...

  5. vue element 时间选择器设置禁用日期

    在 el-date-picker 组件中有一个 picker-options 属性 disabledDate 可以设置日期的可选范围 <el-date-picker v-model=" ...

  6. PAT T1009 Triple Inversions

    树状数组判断三元逆序对~ #include<bits/stdc++.h> using namespace std; ; int a[maxn]; ]; long long l[maxn], ...

  7. JDBC笔记一

    连接池原理 数据库连接池:1.提前创建好多个连接对象,放到缓存中(集合),客户端用时直接从缓存中获取连接 ,用完连接后一定要还回来. 目的:提高数据库访问效率.  模拟代码: package com. ...

  8. Re库的基本使用

    # Re库的主要功能函数 """ re.search() 在一个字符串中搜索匹配正则表达式的第一个位置, 返回match对象 re.match() 在一个字符串的开始位置 ...

  9. java 并发线程锁

     1.同步和异步的区别和联系 异步,执行完函数或方法后,不必阻塞性地等待返回值或消息,只需要向系统委托一个异步过程,那么当系统接收到返回 值或消息时,系统会自动触发委托的异步过程,从而完成一个完整的流 ...

  10. LinkedHashMap的用法

    1:LinkedHashMap的简介 Map 接口的哈希表和链接列表实现,具有可预知的迭代顺序.此实现与 HashMap 的不同之处在于,后者维护着一个运行于所有条目的双重链接列表.此链接列表定义了迭 ...