[CF 219D]Choosing Capital for Treeland[树形DP]

本文介绍了如何使用树形DP解决给定有向图中从一个点出发到其他所有点逆边数最小化的出发点及逆边数问题。通过递推方法,找出最优路径。

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题意:

给出n个点, n-1条有向边, 问从一个点出发到其他所有点时, 使得逆的边数最小的出发点, 以及逆的边数. 有多个出发点的话升序输出.

思路:

树形DP.

这里DP的要义是一种递推, 只不过是沿着树的结构去递推.

有一个关系需要发现: 当知道一个点到其他所有点需要逆的边的条数之后, 其他各点的结果可以通过递推求出:

假设root有son1和son2, root到其他所有点, 都是先到son1, son2, 再接着往下走.

那么求son1到所有点的时候, son1到son1子树的计数情况和root的计数情况相同, son1到root之后再走son2子树的计数情况也和root相同. 于是只有son1到root之间一段不同.

如果是root->son1, 那么dp[son1] = dp[root] + 1; 否则dp[son1] = dp[root] - 1;

再dfs一遍即可.

#include <cstring>
#include <cstdio>
#include <algorithm>
using namespace std;
const int MAXN = 200005;
struct pool
{
    int v,w,next;
}g[MAXN<<1];
int head[MAXN],num,n;
int dp[MAXN],rt;
bool vis[MAXN];

void add(int u, int v)
{
    g[++num].v = v;
    g[num].w = 0;
    g[num].next = head[u];
    head[u] = num;
    g[++num].v = u;
    g[num].w = 1;
    g[num].next = head[v];
    head[v] = num;
}

void dfs1(int u)
{
    vis[u] = true;
    for(int i=head[u],v;i,v=g[i].v;i=g[i].next)
    {
        if(!vis[v])
        {
            rt += g[i].w;
            dfs1(v);
        }
    }
}

void dfs2(int u)
{
    vis[u] = true;
    for(int i=head[u],v;i,v=g[i].v;i=g[i].next)
    {
        if(!vis[v])
        {
            if(g[i].w)  dp[v] = dp[u] - 1;
            else dp[v] = dp[u] + 1;
            if(dp[v]<rt)    rt = dp[v],num = 1;
            else if(dp[v]==rt)  num++;
            dfs2(v);
        }
    }
}

int main()
{
    scanf("%d",&n);
    for(int i=1;i<n;i++)
    {
        int u,v;
        scanf("%d %d",&u,&v);
        add(u,v);
    }
    dfs1(1);
    dp[1] = rt;
    memset(vis,false,sizeof(vis));
    num = 1;
    dfs2(1);
    printf("%d\n",rt);
    for(int i=1,cnt=0;i<=n;i++)
    {
        if(dp[i]==rt)   printf("%d%c",i,(++cnt==num)?'\n':' ');
    }
}


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Collecting Shapely Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b6/8f/f1beeb3585a7db42062bb67ce1766b55a7b3e25af1a916a0879bc249b5c9/Shapely-1.8.5.post1-cp36-cp36m-win_amd64.whl (1.3 MB) |████████████████████████████████| 1.3 MB 6.4 MB/s Collecting six Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl (11 kB) Collecting tensorboard-plugin-wit>=1.6.0 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e0/68/e8ecfac5dd594b676c23a7f07ea34c197d7d69b3313afdf8ac1b0a9905a2/tensorboard_plugin_wit-1.8.1-py3-none-any.whl (781 kB) |████████████████████████████████| 781 kB 6.8 MB/s Collecting threadpoolctl>=2.0.0 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/61/cf/6e354304bcb9c6413c4e02a747b600061c21d38ba51e7e544ac7bc66aecc/threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Collecting tifffile>=2019.7.26 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/42/6b/93a8ee61c6fbe20fa9c17928bd3b80484902b7fd454cecaffba42f5052cb/tifffile-2020.9.3-py3-none-any.whl (148 kB) |████████████████████████████████| 148 kB ... Collecting typing-extensions>=3.6.4 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/45/6b/44f7f8f1e110027cf88956b59f2fad776cca7e1704396d043f89effd3a0e/typing_extensions-4.1.1-py3-none-any.whl (26 kB) Collecting urllib3<1.27,>=1.21.1 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/33/cf/8435d5a7159e2a9c83a95896ed596f68cf798005fe107cc655b5c5c14704/urllib3-1.26.20-py2.py3-none-any.whl (144 kB) |████████████████████████████████| 144 kB ... Collecting werkzeug>=0.11.15 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f4/f3/22afbdb20cc4654b10c98043414a14057cd27fdba9d4ae61cea596000ba2/Werkzeug-2.0.3-py3-none-any.whl (289 kB) |████████████████████████████████| 289 kB ... Collecting dataclasses Downloading https://pypi.tuna.tsinghua.edu.cn/packages/fe/ca/75fac5856ab5cfa51bbbcefa250182e50441074fdc3f803f6e76451fab43/dataclasses-0.8-py3-none-any.whl (19 kB) Collecting wheel>=0.26 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/27/d6/003e593296a85fd6ed616ed962795b2f87709c3eee2bca4f6d0fe55c6d00/wheel-0.37.1-py2.py3-none-any.whl (35 kB) Collecting zipp>=0.5 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/bd/df/d4a4974a3e3957fd1c1fa3082366d7fff6e428ddb55f074bf64876f8e8ad/zipp-3.6.0-py3-none-any.whl (5.3 kB) WARNING: The candidate selected for download or install is a yanked version: 'opencv-python' candidate (version 4.3.0.36 at https://pypi.tuna.tsinghua.edu.cn/packages/00/c4/a652640c1cdf6684706b3d63910ed641149ab246bf198b0befbd6f0b1695/opencv_python-4.3.0.36-cp36-cp36m-win_amd64.whl#sha256=f6fa2834d85c78865ca6e3de563916086cb8c83c3f2ef80924fcd07005f05df9 (from https://pypi.tuna.tsinghua.edu.cn/simple/opencv-python/)) Reason for being yanked: deprecated, use 4.3.0.38 Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\docopt-0.6.2.tar.gz Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\future-0.18.2.tar.gz Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\imgaug-0.4.0-py2.py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\matplotlib-3.3.0-cp36-cp36m-win_amd64.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\numpy-1.19.1-cp36-cp36m-win_amd64.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\opencv_python-4.3.0.36-cp36-cp36m-win_amd64.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\pandas-1.1.0-cp36-cp36m-win_amd64.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\pillow-7.2.0-cp36-cp36m-win_amd64.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\psutil-5.7.3-cp36-cp36m-win_amd64.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\scikit_image-0.17.2-cp36-cp36m-win_amd64.whl Saved 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e:\vscodeprojects\hovernet-honernet111\pip_cache\oauthlib-3.2.2-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\rsa-4.9.1-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\setuptools-59.6.0-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\shapely-1.8.5.post1-cp36-cp36m-win_amd64.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\six-1.17.0-py2.py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\tensorboard_plugin_wit-1.8.1-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\threadpoolctl-3.1.0-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\tifffile-2020.9.3-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\typing_extensions-4.1.1-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\urllib3-1.26.20-py2.py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\werkzeug-2.0.3-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\dataclasses-0.8-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\wheel-0.37.1-py2.py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\zipp-3.6.0-py3-none-any.whl Successfully downloaded docopt future imgaug matplotlib numpy opencv-python pandas pillow psutil scikit-image scikit-learn scipy tensorboard tensorboardx termcolor tqdm absl-py cycler google-auth cachetools google-auth-oauthlib grpcio imageio joblib kiwisolver markdown importlib-metadata networkx decorator protobuf pyasn1-modules pyasn1 pyparsing python-dateutil pytz PyWavelets requests certifi charset-normalizer idna requests-oauthlib oauthlib rsa setuptools Shapely six tensorboard-plugin-wit threadpoolctl tifffile typing-extensions urllib3 werkzeug dataclasses wheel zipp 详细告诉我进程里都发生了什么,为什么会有警告?最终算是成功安装了吗
最新发布
08-09
<think>我们分析一下这个pip下载过程。用户执行了`pip download`命令,目的是下载requirements.txt中列出的所有依赖包到当前目录(pip_cache)中。使用了清华的镜像源。 下载过程中,我们看到: 1. 大部分包都成功下载,包括docopt, future, imgaug等。 2. 在下载opencv-python==4.3.0.36时,出现了一个警告: ``` WARNING: The candidate selected for download or install is a yanked version: 'opencv-python' candidate (version 4.3.0.36 at ...) Reason for being yanked: deprecated, use 4.3.0.38 ``` 这意味着这个版本已经被作者标记为废弃(yanked),建议使用4.3.0.38版本。但是,由于我们指定了版本4.3.0.36,所以pip仍然下载了这个被废弃的版本。 3. 最后,所有包都成功下载,并保存到了指定的目录中。 警告的含义:被yanked的版本通常是因为有严重问题(如安全漏洞)或已被更新的版本替代。但在这个上下文中,由于项目要求特定版本,所以即使被yanked,pip仍然会下载它(但会给出警告)。 最终结果:所有包都成功下载,因此从下载的角度看是成功的。但是,由于opencv-python的版本被废弃,在后续安装或使用中可能会遇到问题。 所以,我们可以说下载过程成功(因为所有包都下载到了本地),但有一个关于版本废弃的警告,需要用户注意。 接下来,如果用户使用这些下载的包进行安装(例如使用`pip install --no-index --find-links=./pip_cache -r requirements.txt`),则可能会安装这个被废弃的版本。用户应该考虑是否要更新requirements.txt中的opencv-python版本为4.3.0.38(如果项目允许的话)以避免潜在问题。 总结: - 下载操作本身成功。 - 警告信息需要关注,建议检查opencv-python版本是否必须为4.3.0.36,如果不是,则更新版本。 注意:被yanked的版本在PyPI上仍然可以下载,但通常不推荐使用。</think>### 进程分析及警告解释 #### 1. 下载过程解析 - **目的**:您执行了 `pip download -r requirements.txt` 命令,目的是将项目依赖包下载到本地缓存目录(`E:\VSCodeProjects\hovernet-honernet111\pip_cache`) - **关键步骤**: - 使用清华镜像源加速下载(`-i https://pypi.tuna.tsinghua.edu.cn/simple`) - 成功下载了所有在 `requirements.txt` 中指定的包及其依赖项 - 共下载了 48 个包文件(包括主依赖和次级依赖) #### 2. 警告信息分析 ```plaintext WARNING: The candidate selected for download or install is a yanked version: 'opencv-python' candidate (version 4.3.0.36...) Reason for being yanked: deprecated, use 4.3.0.38 ``` - **含义**:`opencv-python 4.3.0.36` 已被官方标记为"废弃"(yanked) - **原因**:开发者发现该版本存在严重问题后将其撤回,建议使用修复后的 `4.3.0.38` 版本 - **影响**:虽然能下载安装,但可能包含已知缺陷(如安全漏洞/兼容性问题) #### 3. 最终结果判定 ✅ **成功下载**:所有需求包(包括被废弃的 opencv 版本)均已下载到本地缓存目录 ❌ **未完成安装**:此操作仅缓存包文件,尚未实际安装到 Python 环境 --- ### 后续操作建议 #### 步骤 1:修复 opencv 版本问题 修改 `requirements.txt` 文件: ```diff - opencv-python==4.3.0.36 + opencv-python==4.3.0.38 # 使用官方建议的替代版本 ``` #### 步骤 2:从本地缓存安装 ```bash pip install --no-index --find-links=E:\VSCodeProjects\hovernet-honernet111\pip_cache -r requirements.txt ``` #### 步骤 3:验证安装 ```bash pip list | grep opencv-python # 应显示 4.3.0.38 python -c "import cv2; print(cv2.__version__)" ``` --- ### 关键风险提示 | 项目 | 风险 | 解决方案 | |------|------|----------| | opencv 废弃版本 | 运行时崩溃/安全漏洞 | 升级到 4.3.0.38 | | 未实际安装 | 环境仍不可用 | 执行本地安装命令 | | Python 3.6 兼容性 | 部分新包可能不支持 | 考虑升级到 Python 3.7+ |
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