前几天在贴吧看到网友发帖问 dnf里爆一套史诗装备有多难，大概要多少张票。感觉有点意思，于是我写了个小程序来大概的模拟了一下。。 首先该程序的爆率机制（爆率因子）有4重 第一重：根据自身进入地下城所带的深渊票来调整爆率 第二：连续多把（设定在50把左右） 未出货，会增加爆率 第三：腾讯游戏嘛 ，所以设定了 根据你充钱的多少及最近充钱的时间来算爆率 第四：就是设置一个基础爆率
机制大致是这样，最后模拟的结果和我周围勇士玩的时候爆率差不多。接下来看下代码吧 录入装备类 public class Equipment {
public Equipment() {}
String[] mozhan=new String[]{"魔战套装部件肩甲","魔战套装部件胸甲","魔战套装部件上衣","魔战套装部件裤子","魔战套装部件鞋"}; String [] tianyu=new String[]{"天御套装部件肩甲","天御套装部件胸甲","天御套装部件上衣","天御套装部件裤子","天御套装部件鞋"}; String [] wanshi=new String[]{"万世套装部件肩甲","万世套装部件胸甲","万世套装部件上衣","万世套装部件裤子","万世套装部件鞋"}; String [] baidu=new String[]{"百毒套装部件肩甲","百毒套装部件胸甲","百毒套装部件上衣","百毒套装部件裤子","百毒套装部件鞋"};
String [] zhanshu=new String[]{"战术之王部件肩甲","战术之王套装部件胸甲","战术之王套装部件上衣","战术之王套装部件裤子","战术之王套装部件鞋"};
//可录入需要的史诗套
} //逻辑代码处理类 public class Gailv {
List mozhan_set=new ArrayList(); List tianyu_set=new ArrayList(); List wanshi_set=new ArrayList(); List baidu_set=new ArrayList(); List zhanshu_set=new ArrayList(); List mozhan_set1=new ArrayList(); List tianyu_set1=new ArrayList(); List wanshi_set1=new ArrayList(); List baidu_set1=new ArrayList(); List zhanshu_set1=new ArrayList(); double probability=0.01; //基础概率 double random_probability=0.0; //未出货，随机几率增加 double C_probability=0.0; String[] epic=new String[100000]; //史诗装备 //爆出史诗装备的件数 int epicNum=0; int mozhan_num=0; //魔战套件爆出的个数 int tianyu_num=0; //天御 int wanshi_num=0; //万世 int baidu_num=0; //百毒 int zhanshu_num=0; //战术 Random in=new Random();
public void product(double num,double progress_probability,double poll_probability){ //伪随机，连续对多次未出货 随机 几率提高； int _random=99; // int _random=9; Equipment eq=new Equipment(); for(int i=0;i // double No_product_probability=in.nextInt(_random)+1; double No_product_probability=Math.random()*100; if(i==40){ C_probability=0.01; //连续对多次未出货 随机 几率提高； 对应机制四 } if((No_product_probability)/1000<(probability+progress_probability+poll_probability+C_probability)){ //爆出一件史诗 switch (this.getRandom(35)) { //假定地下城一共有史诗套装35套 case 1: //魔战套 int random_equiment_mozhan=this.getRandom(5); System.out.println(eq.mozhan[random_equiment_mozhan]); mozhan_num++; mozhan_set.add(eq.mozhan[random_equiment_mozhan]); epicNum++; break; case 2: //天御套装 int random_equiment_tianyu=this.getRandom(5); System.out.println(eq.tianyu[random_equiment_tianyu]); epicNum++; tianyu_num++; tianyu_set.add(eq.tianyu[random_equiment_tianyu]); break; case 3: //万世套装 int random_equiment_wanshi=this.getRandom(5); System.out.println(eq.wanshi[random_equiment_wanshi]); wanshi_num++; wanshi_set.add(eq.wanshi[random_equiment_wanshi]); epicNum++; break; case 4: //百毒套装 int random_equiment_baidu=this.getRandom(5); System.out.println(eq.baidu[random_equiment_baidu]); epicNum++; baidu_set.add(eq.baidu[random_equiment_baidu]); baidu_num++; break; case 5: //战术之王套装 int random_equiment_zhanshu=this.getRandom(5); System.out.println(eq.zhanshu[random_equiment_zhanshu]); epicNum++; zhanshu_set.add(eq.zhanshu[random_equiment_zhanshu]); zhanshu_num++; default: System.out.println("目前未录入系统的装备套装"); epicNum++; break; }
} } // System.out.println(probability+progress_probability+poll_probability); System.out.println("魔战套组件:"+mozhan_num+"天御套装组件:"+tianyu_num+"万世套装"+wanshi_num+"战术之王套装"+zhanshu_num+"百毒套装"+baidu_num); System.out.println("魔战套一共出货："+mozhan_set); System.out.println("天御套一共出货："+tianyu_set); System.out.println("万世套一共出货："+wanshi_set); System.out.println("百毒套一共出货："+baidu_set); System.out.println("战术之王套一共出货："+zhanshu_set); System.err.println("共爆出"+epicNum+"件史诗装备"+"\t\t其史诗件爆出的概率为:"+(double)epicNum/num);
for(int i=0;i<5;i++){ if(mozhan_set.contains(eq.mozhan[i])){ mozhan_set1.add(eq.mozhan[i]); } } int mozhannum=mozhan_set1.size(); System.out.println("已集齐魔战套\t："+mozhannum+"\t\t出齐"+mozhannum+"件的概率为："+(double)mozhannum/epicNum); // this.getPosition(tianyu_set,1); for(int i=0;i<5;i++){ if(tianyu_set.contains(eq.tianyu[i])){ this.tianyu_set1.add(eq.tianyu[i]); } } int tianyunum=tianyu_set1.size(); System.out.println("已集齐天御套\t："+tianyunum+"\t\t出齐"+tianyunum+"件的概率为："+(double)tianyunum/epicNum); for(int i=0;i<5;i++){ if(wanshi_set.contains(eq.wanshi[i])){ this.wanshi_set1.add(eq.wanshi[i]); } } int wanshi_setnum=wanshi_set1.size(); System.out.println("已集齐万世套\t："+wanshi_setnum+"\t\t出齐"+wanshi_setnum+"件的概率为："+(double)wanshi_setnum/epicNum); for(int i=0;i<5;i++){ if(baidu_set.contains(eq.baidu[i])){ this.baidu_set1.add(eq.baidu[i]); } } int baidunum=baidu_set1.size(); System.out.println("已集齐百毒套\t："+baidunum+"\t\t出齐"+baidunum+"件的概率为："+(double)baidunum/epicNum); for(int i=0;i<5;i++){ if(zhanshu_set.contains(eq.zhanshu[i])){ this.zhanshu_set1.add(eq.zhanshu[i]);
} } int zhanshunum=zhanshu_set1.size(); System.out.println("已集齐战术套\t："+zhanshunum+"\t\t出齐"+zhanshunum+"件的概率为："+(double)zhanshunum/epicNum); // System.out.println("已集齐天御套\t："+tianyu_set1.size()); // System.out.println("已集齐万世套\t："+wanshi_set1.size()); // System.out.println("已集齐百毒套\t："+baidu_set1.size()); // System.out.println("已集齐战术套\t："+zhanshu_set1.size()); System.out.println("队友或自身携带的深渊票少于1张"); } public int getRandom(int i){ int random=in.nextInt(i); return random; }
} //主窗口 public class SSTotal01 {
static Scanner in=new Scanner(System.in); static double progress_probability; static double poll_probability; public static void main(String[] args) { SSTotal01 ss=new SSTotal01(); Gailv gl=new Gailv(); progress_probability=ss.exchangeMoney(); System.out.println(); if(progress_probability>=0){ System.out.print("请显示你所持有的地下城门票："); int num=in.nextInt(); poll_probability=ss.poll(num); int count =num/25; System.err.println("当前可进入次数为:"+count); gl.product(count,progress_probability,poll_probability); long gameMoney=(int)num*30000; System.out.println("所持有的的深渊票换算成游戏币为：\t"+gameMoney); long money=(gameMoney/(100*10000))*2; System.out.println("你已消耗"+num+"张深渊票\t总计人民币为:"+money); // System.out.println(Math.random()*100); } } //充钱:返回充值金额,提高爆率 机制之一 public double exchangeMoney(){ int _money=0; double progress_probability=0.0; //充值返现的爆率 System.out.print("是否充值（可提高爆率）："); String str=in.next(); if("Y".equals(str)){ System.out.print("充的多少影响着你账号的爆率，请输入你所要充值的金额:"); _money=in.nextInt(); if(_money>50000){ progress_probability+=0.006; }else if(_money>10000){ progress_probability+=0.005; }else if(_money>5000){ progress_probability+=0.003; }else if(_money>1000){ progress_probability+=0.002; }else{ progress_probability+=0.001; }//你的这个充值的概率将会根据你充值的时间长短来回调 } return progress_probability; } public double poll(int _poll){ //入场劵机制 double poll_probability=0.0; if(_poll<25){ System.out.println("你在搞笑？"); }else if(_poll>10000){ poll_probability-=0.0006; }else if(_poll>5000){ poll_probability-=0.0005; }else if(_poll>1000){ poll_probability-=0.0004; }else { poll_probability+=0.005; } return poll_probability; } }
好久没更新博客了，哎 堕落了堕落了。以后会定时更新 哈哈
