Collecting Packages(CF-1294B)

本文探讨了一个机器人在仓库中收集包裹的算法挑战。机器人只能向右或向上移动,目标是在最短路径内收集所有包裹,同时确保路径字典序最小。文章提供了一种解决方案,首先检查包裹位置是否允许全部收集,然后通过排序包裹并计算相邻包裹间的坐标差来确定最佳路径。

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Problem Description

There is a robot in a warehouse and n packages he wants to collect. The warehouse can be represented as a coordinate grid. Initially, the robot stays at the point (0,0). The i-th package is at the point (xi,yi). It is guaranteed that there are no two packages at the same point. It is also guaranteed that the point (0,0) doesn't contain a package.

The robot is semi-broken and only can move up ('U') and right ('R'). In other words, in one move the robot can go from the point (x,y) to the point (x+1,y) or to the point (x,y+1).

As we say above, the robot wants to collect all n packages (in arbitrary order). He wants to do it with the minimum possible number of moves. If there are several possible traversals, the robot wants to choose the lexicographically smallest path.

The string s of length n is lexicographically less than the string t of length n if there is some index 1≤j≤n that for all i from 1 to j−1 si=ti and sj<tj. It is the standard comparison of string, like in a dictionary. Most programming languages compare strings in this way.

Input

The first line of the input contains an integer t (1≤t≤100) — the number of test cases. Then test cases follow.

The first line of a test case contains one integer n (1≤n≤1000) — the number of packages.

The next n lines contain descriptions of packages. The i-th package is given as two integers xi and yi (0≤xi,yi≤1000) — the x-coordinate of the package and the y-coordinate of the package.

It is guaranteed that there are no two packages at the same point. It is also guaranteed that the point (0,0) doesn't contain a package.

The sum of all values n over test cases in the test doesn't exceed 1000.

Output

Print the answer for each test case.

If it is impossible to collect all n packages in some order starting from (0,0), print "NO" on the first line.

Otherwise, print "YES" in the first line. Then print the shortest path — a string consisting of characters 'R' and 'U'. Among all such paths choose the lexicographically smallest path.

Note that in this problem "YES" and "NO" can be only uppercase words, i.e. "Yes", "no" and "YeS" are not acceptable.

Examples

Input

3
5
1 3
1 2
3 3
5 5
4 3
2
1 0
0 1
1
4 3

Output

YES
RUUURRRRUU
NO
YES
RRRRUUU

Note

For the first test case in the example the optimal path RUUURRRRUU is shown below:

题意:有 n 个包裹,给出这 n 个包裹的坐标,一个人从 (0,0) 点出发,只能向右或向上行走,问是否能收集到所有的包裹,若能给出字典序最小的路径

思路:

可以发现,只要任意两个包裹存在一个在左上,一个在右下的情况,那么一定无法收集到所有的包裹

由于要求字典序最小,因此将所有的包裹优先按横坐标进行排序,再计算相邻两包裹的横纵坐标的差,如果小于 0 就说明存在无法收集包裹的情况,如果没有小于 0 的情况,那么就根据横纵坐标差转换成 R  和 U 即可

Source Program

#include<iostream>
#include<cstdio>
#include<cstdlib>
#include<string>
#include<cstring>
#include<cmath>
#include<ctime>
#include<algorithm>
#include<utility>
#include<stack>
#include<queue>
#include<vector>
#include<set>
#include<map>
#include<bitset>
#define PI acos(-1.0)
#define INF 0x3f3f3f3f
#define LL long long
#define Pair pair<int,int>
LL quickPow(LL a,LL b){ LL res=1; while(b){if(b&1)res*=a; a*=a; b>>=1;} return res; }
LL multMod(LL a,LL b,LL mod){ a%=mod; b%=mod; LL res=0; while(b){if(b&1)res=(res+a)%mod; a=(a<<=1)%mod; b>>=1; } return res%mod;}
LL quickMultPowMod(LL a, LL b,LL mod){ LL res=1,k=a; while(b){if((b&1))res=multMod(res,k,mod)%mod; k=multMod(k,k,mod)%mod; b>>=1;} return res%mod;}
LL quickPowMod(LL a,LL b,LL mod){ LL res=1; while(b){if(b&1)res=(a*res)%mod; a=(a*a)%mod; b>>=1; } return res; }
LL getInv(LL a,LL mod){ return quickPowMod(a,mod-2,mod); }
LL GCD(LL x,LL y){ return !y?x:GCD(y,x%y); }
LL LCM(LL x,LL y){ return x/GCD(x,y)*y; }
const double EPS = 1E-6;
const int MOD = 1000000000+7;
const int N = 1000+5;
const int dx[] = {0,0,-1,1,1,-1,1,1};
const int dy[] = {1,-1,0,0,-1,1,-1,1};
using namespace std;

struct Node {
    int x, y;
    bool operator<(const Node &rhs) const {
        if (x == rhs.x)
            return y < rhs.y;
        return x < rhs.x;
    }
} node[N];
int main() {
    int t;
    scanf("%d", &t);
    while (t--) {
        int n;
        scanf("%d", &n);
        node[0].x = 0, node[0].y = 0;
        for (int i = 1; i <= n; i++)
            scanf("%d%d", &node[i].x, &node[i].y);
        sort(node + 1, node + 1 + n);

        bool flag = true;
        string res = "";
        for (int i = 1; i <= n; i++) {
            int subX = node[i].x - node[i - 1].x;
            if (subX < 0) {
                flag = false;
                break;
            } else {
                while (subX--)
                    res += "R";
                int subY = node[i].y - node[i - 1].y;
                if (subY < 0) {
                    flag = false;
                    break;
                } else {
                    while (subY--)
                        res += "U";
                }
            }
        }
        if (flag) {
            printf("YES\n");
            cout << res << endl;
        } else
            printf("NO\n");
    }
    return 0;
}

 

(nanodet) C:\Users\gyf>pip install tensorboard==2.10 Looking in indexes: http://mirrors.aliyun.com/pypi/simple/ Collecting tensorboard==2.10 Downloading http://mirrors.aliyun.com/pypi/packages/6b/42/e271c40c84c250b52fa460fda970899407c837a2049c53969f37e404b1f6/tensorboard-2.10.0-py3-none-any.whl (5.9 MB) ---------------------------------------- 5.9/5.9 MB 5.1 MB/s eta 0:00:00 Collecting absl-py>=0.4 (from tensorboard==2.10) Downloading http://mirrors.aliyun.com/pypi/packages/8f/aa/ba0014cc4659328dc818a28827be78e6d97312ab0cb98105a770924dc11e/absl_py-2.3.1-py3-none-any.whl (135 kB) Collecting grpcio>=1.24.3 (from tensorboard==2.10) Downloading http://mirrors.aliyun.com/pypi/packages/87/7d/36009c38093e62969c708f20b86ab6761c2ba974b12ff10def6f397f24fa/grpcio-1.70.0-cp38-cp38-win_amd64.whl (4.3 MB) ---------------------------------------- 4.3/4.3 MB 5.8 MB/s eta 0:00:00 Collecting google-auth<3,>=1.6.3 (from tensorboard==2.10) Downloading 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pandocfilters>=1.4.1 (from nbconvert>=6.4.4->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ef/af/4fbc8cab944db5d21b7e2a5b8e9211a03a79852b1157e2c102fcc61ac440/pandocfilters-1.5.1-py2.py3-none-any.whl (8.7 kB) Collecting pygments>=2.4.1 (from nbconvert>=6.4.4->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/8a/0b/9fcc47d19c48b59121088dd6da2488a49d5f72dacf8262e2790a1d2c7d15/pygments-2.19.1-py3-none-any.whl (1.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 2.8 MB/s eta 0:00:00 Collecting fastjsonschema>=2.15 (from nbformat>=5.3.0->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/90/2b/0817a2b257fe88725c25589d89aec060581aabf668707a8d03b2e9e0cb2a/fastjsonschema-2.21.1-py3-none-any.whl (23 kB) Collecting charset-normalizer<4,>=2 (from requests>=2.31->jupyterlab-server<3,>=2.27.1->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e9/b0/0200da600134e001d91851ddc797809e2fe0ea72de90e09bec5a2fbdaccb/charset_normalizer-3.4.2-cp313-cp313-win_amd64.whl (105 kB) Collecting urllib3<3,>=1.21.1 (from requests>=2.31->jupyterlab-server<3,>=2.27.1->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/6b/11/cc635220681e93a0183390e26485430ca2c7b5f9d33b15c74c2861cb8091/urllib3-2.4.0-py3-none-any.whl (128 kB) Collecting webencodings (from bleach!=5.0.0->bleach[css]!=5.0.0->nbconvert>=6.4.4->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Collecting tinycss2<1.5,>=1.1.0 (from bleach[css]!=5.0.0->nbconvert>=6.4.4->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e6/34/ebdc18bae6aa14fbee1a08b63c015c72b64868ff7dae68808ab500c492e2/tinycss2-1.4.0-py3-none-any.whl (26 kB) Collecting colorama (from ipython>=7.23.1->ipykernel>=6.5.0->jupyterlab<4.5,>=4.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl (25 kB) Collecting decorator (from ipython>=7.23.1->ipykernel>=6.5.0->jupyterlab<4.5,>=4.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/4e/8c/f3147f5c4b73e7550fe5f9352eaa956ae838d5c51eb58e7a25b9f3e2643b/decorator-5.2.1-py3-none-any.whl (9.2 kB) Collecting ipython-pygments-lexers (from ipython>=7.23.1->ipykernel>=6.5.0->jupyterlab<4.5,>=4.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/d9/33/1f075bf72b0b747cb3288d011319aaf64083cf2efef8354174e3ed4540e2/ipython_pygments_lexers-1.1.1-py3-none-any.whl (8.1 kB) Collecting jedi>=0.16 (from ipython>=7.23.1->ipykernel>=6.5.0->jupyterlab<4.5,>=4.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c0/5a/9cac0c82afec3d09ccd97c8b6502d48f165f9124db81b4bcb90b4af974ee/jedi-0.19.2-py2.py3-none-any.whl (1.6 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 7.9 MB/s eta 0:00:00 Collecting prompt_toolkit<3.1.0,>=3.0.41 (from ipython>=7.23.1->ipykernel>=6.5.0->jupyterlab<4.5,>=4.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ce/4f/5249960887b1fbe561d9ff265496d170b55a735b76724f10ef19f9e40716/prompt_toolkit-3.0.51-py3-none-any.whl (387 kB) Collecting stack_data (from ipython>=7.23.1->ipykernel>=6.5.0->jupyterlab<4.5,>=4.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f1/7b/ce1eafaf1a76852e2ec9b22edecf1daa58175c090266e9f6c64afcd81d91/stack_data-0.6.3-py3-none-any.whl (24 kB) Collecting fqdn (from jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.11.0->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl (9.1 kB) Collecting isoduration (from jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.11.0->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/7b/55/e5326141505c5d5e34c5e0935d2908a74e4561eca44108fbfb9c13d2911a/isoduration-20.11.0-py3-none-any.whl (11 kB) Collecting jsonpointer>1.13 (from jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.11.0->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/71/92/5e77f98553e9e75130c78900d000368476aed74276eb8ae8796f65f00918/jsonpointer-3.0.0-py2.py3-none-any.whl (7.6 kB) Collecting uri-template (from jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.11.0->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e7/00/3fca040d7cf8a32776d3d81a00c8ee7457e00f80c649f1e4a863c8321ae9/uri_template-1.3.0-py3-none-any.whl (11 kB) Collecting webcolors>=24.6.0 (from jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.11.0->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/60/e8/c0e05e4684d13459f93d312077a9a2efbe04d59c393bc2b8802248c908d4/webcolors-24.11.1-py3-none-any.whl (14 kB) Collecting six>=1.5 (from python-dateutil>=2.8.2->jupyter-client>=7.4.4->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl (11 kB) Collecting cffi>=1.0.1 (from argon2-cffi-bindings->argon2-cffi>=21.1->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/7c/fc/6a8cb64e5f0324877d503c854da15d76c1e50eb722e320b15345c4d0c6de/cffi-1.17.1-cp313-cp313-win_amd64.whl (182 kB) Collecting soupsieve>1.2 (from beautifulsoup4->nbconvert>=6.4.4->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e7/9c/0e6afc12c269578be5c0c1c9f4b49a8d32770a080260c333ac04cc1c832d/soupsieve-2.7-py3-none-any.whl (36 kB) Requirement already satisfied: typing-extensions>=4.0.0 in c:\users\86180\appdata\roaming\python\python313\site-packages (from beautifulsoup4->nbconvert>=6.4.4->jupyter-server<3,>=2.4.0->notebook) (4.13.2) Collecting pycparser (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi>=21.1->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/13/a3/a812df4e2dd5696d1f351d58b8fe16a405b234ad2886a0dab9183fb78109/pycparser-2.22-py3-none-any.whl (117 kB) Collecting parso<0.9.0,>=0.8.4 (from jedi>=0.16->ipython>=7.23.1->ipykernel>=6.5.0->jupyterlab<4.5,>=4.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c6/ac/dac4a63f978e4dcb3c6d3a78c4d8e0192a113d288502a1216950c41b1027/parso-0.8.4-py2.py3-none-any.whl (103 kB) Collecting wcwidth (from prompt_toolkit<3.1.0,>=3.0.41->ipython>=7.23.1->ipykernel>=6.5.0->jupyterlab<4.5,>=4.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/fd/84/fd2ba7aafacbad3c4201d395674fc6348826569da3c0937e75505ead3528/wcwidth-0.2.13-py2.py3-none-any.whl (34 kB) Collecting arrow>=0.15.0 (from isoduration->jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.11.0->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f8/ed/e97229a566617f2ae958a6b13e7cc0f585470eac730a73e9e82c32a3cdd2/arrow-1.3.0-py3-none-any.whl (66 kB) Collecting executing>=1.2.0 (from stack_data->ipython>=7.23.1->ipykernel>=6.5.0->jupyterlab<4.5,>=4.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/7b/8f/c4d9bafc34ad7ad5d8dc16dd1347ee0e507a52c3adb6bfa8887e1c6a26ba/executing-2.2.0-py2.py3-none-any.whl (26 kB) Collecting asttokens>=2.1.0 (from stack_data->ipython>=7.23.1->ipykernel>=6.5.0->jupyterlab<4.5,>=4.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/25/8a/c46dcc25341b5bce5472c718902eb3d38600a903b14fa6aeecef3f21a46f/asttokens-3.0.0-py3-none-any.whl (26 kB) Collecting pure-eval (from stack_data->ipython>=7.23.1->ipykernel>=6.5.0->jupyterlab<4.5,>=4.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/8e/37/efad0257dc6e593a18957422533ff0f87ede7c9c6ea010a2177d738fb82f/pure_eval-0.2.3-py3-none-any.whl (11 kB) Collecting types-python-dateutil>=2.8.10 (from arrow>=0.15.0->isoduration->jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.11.0->jupyter-server<3,>=2.4.0->notebook) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/0f/b3/ca41df24db5eb99b00d97f89d7674a90cb6b3134c52fb8121b6d8d30f15c/types_python_dateutil-2.9.0.20241206-py3-none-any.whl (14 kB) Installing collected packages: webencodings, wcwidth, pywin32, pure-eval, fastjsonschema, websocket-client, webcolors, urllib3, uri-template, types-python-dateutil, traitlets, tornado, tinycss2, soupsieve, sniffio, six, setuptools, send2trash, rpds-py, rfc3986-validator, pyzmq, pyyaml, pywinpty, python-json-logger, pygments, pycparser, psutil, prompt_toolkit, prometheus-client, platformdirs, parso, pandocfilters, packaging, overrides, nest-asyncio, mistune, MarkupSafe, jupyterlab-pygments, jsonpointer, json5, idna, h11, fqdn, executing, defusedxml, decorator, debugpy, colorama, charset-normalizer, certifi, bleach, babel, attrs, async-lru, asttokens, terminado, stack_data, rfc3339-validator, requests, referencing, python-dateutil, matplotlib-inline, jupyter-core, jinja2, jedi, ipython-pygments-lexers, httpcore, comm, cffi, beautifulsoup4, anyio, jupyter-server-terminals, jupyter-client, jsonschema-specifications, ipython, httpx, arrow, argon2-cffi-bindings, jsonschema, isoduration, ipykernel, argon2-cffi, nbformat, nbclient, jupyter-events, nbconvert, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook WARNING: The scripts pywin32_postinstall.exe and pywin32_testall.exe are installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The script wsdump.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The script send2trash.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The script pygmentize.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The script pyjson5.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The scripts debugpy-adapter.exe and debugpy.exe are installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The script normalizer.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The script pybabel.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The scripts jupyter-migrate.exe, jupyter-troubleshoot.exe and jupyter.exe are installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The scripts jupyter-kernel.exe, jupyter-kernelspec.exe and jupyter-run.exe are installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The scripts ipython.exe and ipython3.exe are installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The script httpx.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The script jsonschema.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The script jupyter-trust.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The script jupyter-execute.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. WARNING: The script jupyter-events.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. 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WARNING: The script jupyter-notebook.exe is installed in 'C:\Users\86180\AppData\Roaming\Python\Python313\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. Successfully installed MarkupSafe-3.0.2 anyio-4.9.0 argon2-cffi-23.1.0 argon2-cffi-bindings-21.2.0 arrow-1.3.0 asttokens-3.0.0 async-lru-2.0.5 attrs-25.3.0 babel-2.17.0 beautifulsoup4-4.13.4 bleach-6.2.0 certifi-2025.4.26 cffi-1.17.1 charset-normalizer-3.4.2 colorama-0.4.6 comm-0.2.2 debugpy-1.8.14 decorator-5.2.1 defusedxml-0.7.1 executing-2.2.0 fastjsonschema-2.21.1 fqdn-1.5.1 h11-0.16.0 httpcore-1.0.9 httpx-0.28.1 idna-3.10 ipykernel-6.29.5 ipython-9.2.0 ipython-pygments-lexers-1.1.1 isoduration-20.11.0 jedi-0.19.2 jinja2-3.1.6 json5-0.12.0 jsonpointer-3.0.0 jsonschema-4.23.0 jsonschema-specifications-2025.4.1 jupyter-client-8.6.3 jupyter-core-5.7.2 jupyter-events-0.12.0 jupyter-lsp-2.2.5 jupyter-server-2.15.0 jupyter-server-terminals-0.5.3 jupyterlab-4.4.2 jupyterlab-pygments-0.3.0 jupyterlab-server-2.27.3 matplotlib-inline-0.1.7 mistune-3.1.3 nbclient-0.10.2 nbconvert-7.16.6 nbformat-5.10.4 nest-asyncio-1.6.0 notebook-7.4.2 notebook-shim-0.2.4 overrides-7.7.0 packaging-25.0 pandocfilters-1.5.1 parso-0.8.4 platformdirs-4.3.8 prometheus-client-0.21.1 prompt_toolkit-3.0.51 psutil-7.0.0 pure-eval-0.2.3 pycparser-2.22 pygments-2.19.1 python-dateutil-2.9.0.post0 python-json-logger-3.3.0 pywin32-310 pywinpty-2.0.15 pyyaml-6.0.2 pyzmq-26.4.0 referencing-0.36.2 requests-2.32.3 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rpds-py-0.24.0 send2trash-1.8.3 setuptools-80.4.0 six-1.17.0 sniffio-1.3.1 soupsieve-2.7 stack_data-0.6.3 terminado-0.18.1 tinycss2-1.4.0 tornado-6.4.2 traitlets-5.14.3 types-python-dateutil-2.9.0.20241206 uri-template-1.3.0 urllib3-2.4.0 wcwidth-0.2.13 webcolors-24.11.1 webencodings-0.5.1 websocket-client-1.8.0 [notice] A new release of pip is available: 25.0.1 -> 25.1.1 [notice] To update, run: python.exe -m pip install --upgrade pip
05-13
(E:\VSCodeVenv\hovernet) E:\VSCodeProjects\hovernet-honernet111\pip_cache>pip download -r ..\requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting docopt==0.6.2 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a2/55/8f8cab2afd404cf578136ef2cc5dfb50baa1761b68c9da1fb1e4eed343c9/docopt-0.6.2.tar.gz (25 kB) Collecting future==0.18.2 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/45/0b/38b06fd9b92dc2b68d58b75f900e97884c45bedd2ff83203d933cf5851c9/future-0.18.2.tar.gz (829 kB) |████████████████████████████████| 829 kB 6.4 MB/s Collecting imgaug==0.4.0 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/66/b1/af3142c4a85cba6da9f4ebb5ff4e21e2616309552caca5e8acefe9840622/imgaug-0.4.0-py2.py3-none-any.whl (948 kB) |████████████████████████████████| 948 kB ... 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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
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