710. 黑名单中的随机数

给定一个包含 [0,n ) 中独特的整数的黑名单 B,写一个函数从 [ 0,n ) 中返回一个不在 B 中的随机整数。

对它进行优化使其尽量少调用系统方法 Math.random() 。

提示:

1 <= N <= 1000000000

0 <= B.length < min(100000, N)

[0, N) 不包含 N,详细参见 interval notation 。

示例 1:

输入:
["Solution","pick","pick","pick"]
[[1,[]],[],[],[]]
输出: [null,0,0,0]

示例 2:

输入:
["Solution","pick","pick","pick"]
[[2,[]],[],[],[]]
输出: [null,1,1,1]

示例 3:

输入:
["Solution","pick","pick","pick"]
[[3,[1]],[],[],[]]
Output: [null,0,0,2]

示例 4:

输入:
["Solution","pick","pick","pick"]
[[4,[2]],[],[],[]]
输出: [null,1,3,1]

输入语法说明:

输入是两个列表:调用成员函数名和调用的参数。Solution的构造函数有两个参数,N 和黑名单 B。pick 没有参数,输入参数是一个列表,即使参数为空,也会输入一个 [] 空列表。



class Solution {

	 int n=0, cnt=0;
HashSet<Integer> h=null;
boolean [] set=null;
int [] candidates=null;
public Solution(int N, int[] blacklist) { n=N; int L=blacklist.length, i=0;
if( N>20000)
{
h=new HashSet<Integer>(); while( i<L )
{
h.add(blacklist[i]);
i++;
}
return;
} set=new boolean [N];
while( i<L )
{
set[blacklist[i]]=true;
i++;
}
i=0; cnt=N-L;
candidates=new int [cnt];
int j=0;
while( i<N )
{
if( set[i]==false )
{
candidates[j]=i;
j++;
}
i++;
}
} public int pick() { if( n>20000 )
{
int oup=(int)(Math.random()*n); while( h.contains(oup) )
oup=(int)(Math.random()*n); return oup;
} return candidates[(int)(Math.random()*cnt)];
}
} /**
* Your Solution object will be instantiated and called as such:
* Solution obj = new Solution(N, blacklist);
* int param_1 = obj.pick();
*/

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