Black Box
Time limit:1000 ms |
|
Memory limit:10000 K |
Total submissions:7770 |
|
Accepted:3178 |
Description
Our black box represents a primitive database. it can save an integer array and has a special I variable. at the initial moment black box is empty and I equals 0. this black box processes a sequence of commands (transactions ). there are two types of transactions:
Add (x): Put element x into black box;
Get: Increase I by 1 and give an I-Minimum Out Of All integers containing in the black box. keep in mind that I-minimum is a number located at I-th place after Black Box elements sorting by non-descending.
Let us examine a possible sequence of 11 transactions:
Example 1
N Transaction i Black Box contents after transaction Answer
(elements are arranged by non-descending)
1 ADD(3) 0 3
2 GET 1 3 3
3 ADD(1) 1 1, 3
4 GET 2 1, 3 3
5 ADD(-4) 2 -4, 1, 3
6 ADD(2) 2 -4, 1, 2, 3
7 ADD(8) 2 -4, 1, 2, 3, 8
8 ADD(-1000) 2 -1000, -4, 1, 2, 3, 8
9 GET 3 -1000, -4, 1, 2, 3, 8 1
10 GET 4 -1000, -4, 1, 2, 3, 8 2
11 ADD(2) 4 -1000, -4, 1, 2, 2, 3, 8
It is required to work out an efficient algorithm which treats a given sequence of transactions. The maximum number of ADD and get transactions: 30000 of each type.
Let us describe the sequence of transactions by two integer Arrays:
1. A (1), a (2 ),..., A (m): a sequence of elements which are being encoded into black box. A values are integers not exceeding 2 000 000 000 by their absolute value, m <= 30000. for the example we have A = (3, 1,-4, 2, 8,-1000, 2 ).
2. U (1), u (2 ),..., U (n): a sequence setting a number of elements which are being encoded into black box at the moment of first, second ,... and N-transaction get. for the example we have u = (1, 2, 6, 6 ).
The Black Box algorithm supposes that natural number sequence U (1), u (2 ),..., U (n) is sorted in non-descending order, n <= m and for each P (1 <= P <= N) an inequality P <= U (P) <= m is valid. it follows from the fact that for the p-element of our U sequence we perform a get transaction giving p-minimum number from our A (1 ), A (2 ),..., A (U (p) sequence.
Input
Input contains (in given order): m, n, A (1), a (2 ),..., A (M), u (1), u (2 ),..., U (n ). all numbers are divided by spaces and (or) carriage return characters.
Output
Write to the output black box answers sequence for a given sequence of transactions, one number each line.
Sample Input
7 43 1 -4 2 8 -1000 21 2 6 6
Sample output
3312
Source
Northeastern Europe 1996.
#include <iostream>#include <stdio.h>#include <time.h>using namespace std;#define N 30100#define INF 0x7fffffffint val[N];struct Treap{ int ch[N][2],fix[N],size[N]; int top,root; inline void PushUp(int rt) { size[rt]=size[ch[rt][0]]+size[ch[rt][1]]+1; } void Newnode(int &rt,int v) { rt=++top; val[rt]=v; size[rt]=1; fix[rt]=rand(); ch[rt][0]=ch[rt][1]=0; } void Init() { top=root=0; ch[0][0]=ch[0][1]=0; size[0]=val[0]=0; memset(size,0,sizeof(size)); } void Rotate(int &x,int kind) { int y=ch[x][kind^1]; ch[x][kind^1]=ch[y][kind]; ch[y][kind]=x; PushUp(x); PushUp(y); x=y; } void Insert(int &rt,int v) { if(!rt) Newnode(rt,v); else { int kind=(v>=val[rt]); size[rt]++; Insert(ch[rt][kind],v); if(fix[ch[rt][kind]]<fix[rt]) Rotate(rt,kind^1); } } int Find(int rt,int k) { int cnt=size[ch[rt][0]]; if(k==cnt+1) return val[rt]; else if(k<=cnt) return Find(ch[rt][0],k); else return Find(ch[rt][1],k-cnt-1); }}t;int main(){ int n,i,m; srand((int)time(0)); while(scanf("%d%d",&n,&m)!=EOF) { t.Init(); for(i=1;i<=n;i++) { scanf("%d",&val[i]); } int last=1,x; for(i=1;i<=m;i++) { scanf("%d",&x); while(last<=x) { t.Insert(t.root,val[last]); last++; } printf("%d\n",t.Find(t.root,i)); } } return 0;}
Treap [poj 1442] Black Box