zoukankan      html  css  js  c++  java
  • CSUOJ 1532 JuQueen

    Problem H

    JuQueen

    JuQueen is the super computer with the best performance allover Germany. It is on rank 8 in the famous top500 list with its 458752 cores. It draws a lot of energy (up to 2301 kW), so we want to reduce that by underclocking the unused cores.

    The cluster scheduling algorithm which is in charge of distributing jobs over the nodes and cores of a cluster will issue the following speedstepping commands:

    • change X S changes the frequency of core X by S steps
    • groupchange A B S changes the frequency of every core in range [A,B] by S steps
    • state X returns the current state of core X

    To be safe for the future, your program should be able to handle 4587520 cores. The initial frequency for each core is 0.

    Input

    The input contains a single test case. It starts with a line containing three integers C, N, and O, where C is the number of cores (1 ≤ C ≤ 4587520) to manage, N is the number of frequency steps for each core (1 ≤ N ≤ 10000) and O is the number of operations in the test program (1 ≤ O ≤ 50000). Then follow O lines, each containing one command as described above. X, A and B are 0-based IDs of the cores (0 ≤ A,B,X < C; A B). S is an integer number of steps, possibly negative (−N S ≤ +N).

    Both, the change and the groupchange command will increase (or decrease) in single steps and stop as soon as one core in the group reaches the minimal (0) or maximal frequency (N).

    Output

    Output one line for every operation in the input. For change and groupchange print the changed number of steps, for state print the current state.

    Sample Input I

    Sample Output I

    10 10 5

    state 0

    groupchange 2 9 7

    state 9

    groupchange 0 2 10

    change 0 -5

    0

    7

    7

    3

    -3

    Sample Input II

    Sample Output II

    4587520 10000 5

    groupchange 0 4587010 9950

    groupchange 23 4587000 42

    groupchange 4710 4587001 -1000

    state 1234560

    groupchange 6666 3060660 10000

    9950

    42

    -1000

    8992

    1008

     解题:线段树,超大。。。注意内存控制

      1 #include <bits/stdc++.h>
      2 #define INF 0x3f3f3f3f
      3 using namespace std;
      4 const int maxn = 10000000;
      5 struct node {
      6     int minv,maxv,lazy;
      7 } tree[maxn<<2];
      8 void build(int lt,int rt,int v) {
      9     tree[v].minv = tree[v].maxv = tree[v].lazy = 0;
     10     if(lt == rt) return;
     11     int mid = (lt + rt)>>1;
     12     build(lt,mid,v<<1);
     13     build(mid+1,rt,v<<1|1);
     14 }
     15 void pushup(int v) {
     16     tree[v].minv = min(tree[v<<1].minv+tree[v<<1].lazy,tree[v<<1|1].minv+tree[v<<1|1].lazy);
     17     tree[v].maxv = max(tree[v<<1].maxv+tree[v<<1].lazy,tree[v<<1|1].maxv+tree[v<<1|1].lazy);
     18 }
     19 void pushdown(int v) {
     20     if(tree[v].lazy) {
     21         tree[v<<1].lazy += tree[v].lazy;
     22         tree[v<<1|1].lazy += tree[v].lazy;
     23         tree[v].lazy = 0;
     24     }
     25 }
     26 void update(int L,int R,int lt,int rt,int v,int value) {
     27     if(L >= lt && R <= rt) {
     28         tree[v].lazy += value;
     29         tree[v].minv += tree[v].lazy;
     30         tree[v].maxv += tree[v].lazy;
     31         pushdown(v);
     32         return;
     33     }
     34     pushdown(v);
     35     int mid = (L + R)>>1;
     36     if(lt <= mid) update(L,mid,lt,rt,v<<1,value);
     37     if(rt > mid) update(mid+1,R,lt,rt,v<<1|1,value);
     38     pushup(v);
     39 }
     40 int getMin(int L,int R,int lt,int rt,int v) {
     41     if(L >= lt && R <= rt)
     42         return tree[v].minv + tree[v].lazy;
     43     pushdown(v);
     44     int ans = INF,mid = (L + R)>>1;
     45     if(lt <= mid) ans = min(ans,getMin(L,mid,lt,rt,v<<1));
     46     if(rt > mid) ans = min(ans,getMin(mid+1,R,lt,rt,v<<1|1));
     47     pushup(v);
     48     return ans;
     49 }
     50 int getMax(int L,int R,int lt,int rt,int v) {
     51     if(L >= lt && R <= rt)
     52         return tree[v].maxv + tree[v].lazy;
     53     pushdown(v);
     54     int ans = -INF,mid = (L + R)>>1;
     55     if(lt <= mid) ans = max(ans,getMax(L,mid,lt,rt,v<<1));
     56     if(rt > mid) ans = max(ans,getMax(mid+1,R,lt,rt,v<<1|1));
     57     pushup(v);
     58     return ans;
     59 }
     60 int query(int L,int R,int p,int v) {
     61     if(L == R)
     62         return tree[v].minv + tree[v].lazy;
     63     pushdown(v);
     64     int mid = (L + R)>>1;
     65     int ans = 0;
     66     if(p <= mid) ans =  query(L,mid,p,v<<1);
     67     if(p > mid) ans = query(mid+1,R,p,v<<1|1);
     68     pushup(v);
     69     return ans;
     70 }
     71 int main() {
     72     int N,M,Q,x,y,v;
     73     char s[30];
     74     while(~scanf("%d %d %d",&N,&M,&Q)) {
     75         memset(tree,0,sizeof(tree));
     76         while(Q--) {
     77             scanf("%s",s);
     78             if(s[0] == 's') {
     79                 scanf("%d",&x);
     80                 printf("%d
    ",query(0,N,x,1));
     81             } else {
     82                 if(s[0] == 'c') {
     83                     scanf("%d %d",&x,&v);
     84                     y = x;
     85                 } else if(s[0] == 'g') scanf("%d %d %d",&x,&y,&v);
     86                 int nv;
     87                 if(v < 0) {
     88                     int minv = getMin(0,N,x,y,1);
     89                     nv = minv + v < 0 ? -minv:v;
     90                 } else {
     91                     int maxv = getMax(0,N,x,y,1);
     92                     nv = maxv + v > M ? M-maxv:v;
     93                 }
     94                 update(0,N,x,y,1,nv);
     95                 printf("%d
    ",nv);
     96             }
     97         }
     98     }
     99     return 0;
    100 }
    View Code
  • 相关阅读:
    Docker手动搭建sentry错误日志系统
    Flask源码解析:Flask应用执行流程及原理
    django Rest Framework---缓存通过drf-extensions扩展来实现
    Python实现 -- 冒泡排序、选择排序、插入排序
    Python查找算法之 -- 列表查找和二分查找
    java设计模式之单例模式
    中文乱码解决方案
    web应用中Filter过滤器之开发应用
    web应用中的Filter过滤器之基础概述
    会话跟踪技术
  • 原文地址:https://www.cnblogs.com/crackpotisback/p/4344293.html
Copyright © 2011-2022 走看看