CF-45D. Event Dates(贪心)

本文提供了一种方法,帮助用户根据已知的历史事件最早和最晚日期范围,选择符合条件的日期序列。通过逐步筛选和调整,确保事件在指定日期内发生,适用于历史学、档案管理等领域的应用。

D. Event Dates
time limit per test
2 seconds
memory limit per test
256 megabytes
input
standard input
output
standard output

On a history lesson the teacher asked Vasya to name the dates when n famous events took place. He doesn't remembers the exact dates but he remembers a segment of days [li, ri] (inclusive) on which the event could have taken place. However Vasya also remembers that there was at most one event in one day. Help him choose such n dates of famous events that will fulfill both conditions. It is guaranteed that it is possible.

Input

The first line contains one integer n (1 ≤ n ≤ 100) — the number of known events. Then follow n lines containing two integers li and rieach (1 ≤ li ≤ ri ≤ 107) — the earliest acceptable date and the latest acceptable date of the i-th event.

Output

Print n numbers — the dates on which the events took place. If there are several solutions, print any of them. It is guaranteed that a solution exists.

Sample test(s)
input
3
1 2
2 3
3 4
output
1 2 3 
input
2
1 3
1 3
output
1 2 

思路:每次选择左边界最小,次之右边界最小,选择此区间的左边界值l作为此区间代表,并删去本区间,然后提升剩余区间的左边界使之大于那个区间的代表l,重复此步骤即可


#include<iostream>
#include<cstring>
using namespace std;
const int mm=110;
class node
{
  public:int l,r;
}f[mm];
bool vis[mm];
int ans[mm];
bool ok(int a,int b)
{
  if(f[a].l<f[b].l)return 1;
  else if(f[a].l==f[b].l&&f[a].r<f[b].r)return 1;
  return 0;
}
int main()
{
  int n;
  while(cin>>n)
  {
    for(int i=0;i<n;i++)
    {
      cin>>f[i].l>>f[i].r;vis[i]=0;
    }
    int k;
    for(int i=0;i<n;i++)
    { k=-1;
      for(int j=0;j<n;j++)
        if(!vis[j]&&(k==-1||ok(j,k)))///选择区间左界最小
          k=j;
        int w=ans[k]=f[k].l;
        ++w;vis[k]=1;
      for(int j=0;j<n;j++)///提升剩余区间的左界
        if(w>f[j].l)
        f[j].l=w;
    }
    for(int i=0;i<n;i++)
    cout<<ans[i]<<" ";cout<<"\n";
  }
}




转载于:https://www.cnblogs.com/nealgavin/archive/2013/03/05/3206137.html

可以使用以下代码将给定的列表转换成一个 Pandas 数据框(DataFrame): ```python import pandas as pd # 给定的列表数据 data = [['日期', '2018-01-03', -1.172468, '2018-01-04', -0.258565, '2018-01-05', 0.163079, '2018-01-08', -1.179654, '2018-01-09', 0.411397, '2022-12-26', -0.784676, '2022-12-27', 1.262722, '2022-12-28', 0.104694, '2022-12-29', -0.408606, '2022-12-30', 0.484443], ['日期', '2018-01-03', -0.329916, '2018-01-04', -0.012197, '2018-01-05', -0.615016, '2018-01-08', -1.149181, '2018-01-09', -0.173742, '2022-12-26', -0.177332, '2022-12-27', 1.786322, '2022-12-28', 1.108457, '2022-12-29', -0.693480, '2022-12-30', 0.333768], ['日期', '2018-01-03', -0.295204]] # 将列表转换成数据框 df = pd.DataFrame(data) # 设置列名 df.columns = ['col' + str(i) for i in range(df.shape[1])] # 将第一列作为行索引 df = df.set_index('col0') # 将奇数列作为日期列,偶数列作为数值列 df_dates = df.iloc[:, ::2] df_values = df.iloc[:, 1::2] df_dates.columns = range(df_dates.shape[1]) df_values.columns = range(df_values.shape[1]) # 将日期列和数值列合并成一个数据框 df = pd.concat([df_dates.stack(), df_values.stack()], axis=1) df.columns = ['日期', '数值'] # 将日期列转换成日期类型 df['日期'] = pd.to_datetime(df['日期']) ``` 注意:给定的列表中有多个子列表,每个子列表包含了日期和数值数据。我们需要将这些子列表转换成一个 Pandas 数据框,并将日期列和数值列拆分成两个数据框,然后再将它们合并成一个数据框。最后,我们还需要将日期列转换成 Pandas 中的日期类型。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值