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[题解]CF1881G Anya and the Mysterious String
思路 发现如果一个字符串中有长度大于等于 \(2\) 回文子串，必定有长度为 \(2\) 的回文子串或长度为 \(3\) 的回文子串，并且形如：aa 和 aba。 所以考虑用线段树这两种情况。维护一段区间的最左、次左、最右、次右的元素，同时用两个标记变量 \(f_1,f_2\) 分别表示这个区间中是 ......
PAT_A 1038 Recover the Smallest Number
Given a collection of number segments, you are supposed to recover the smallest number from them. For example, given { 32, 321, 3214, 0229, 87 }, we c ......
How to get macOS CPU details information in the command line All In One
How to get macOS CPU details information in the command line All In One
如何通过命令行获取 macOS CPU 的详细信息
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[QOJ6555] The 2nd Universal Cup. Stage 5. J : Sets May Be Good
先给 EI 磕三个 首先考虑用 \(n\) 个变量 \(x_1,x_2,\cdots,x_n\in\{0,1\}\) 表示第 \(i\) 个点选不选，那么导出子图的边数的奇偶性就是 \[f(x_1,x_2,\cdots,x_n)=\left(\sum_{(i,j)\in E}x_ix_j\right ......
asp.net core signalr 客户端调用服务端方法报：Error:Failed to invoke 'adduserToConnection' due to an error on the server
TS端调用方法为： connection.start() .then(() => { connection.invoke("adduserToConnection",account,connection.connectionId); }) .catch((err) => { console.erro ......
CF1257E The Contest
用桶存，做一遍前缀和，令 \(b_{x,y}\) 表示序列 \(x\) 包含 \(1\sim y\) 的数字个数。考虑枚举第一个序列保留的前缀 \(1\sim i\)，对于第三个序列，如果其保留了后缀 \(j\sim n(i<j)\)，考虑哪些数需要被移掉，那么答案就是： \[b_{1,n}-b_{ ......
The 2nd Universal Cup. Stage 5: Northern J Sets May Be Good
题解 我们考虑计算 \(\sum_{S\subseteq\{1,2,3,\cdots,n\}} (-1)^{cnt(S)}\)，这里 \(cnt(S)\) 表示 \(S\) 集合的导出子图的边数。 我们记 \(x_i=[i\in S]\)。 我们考虑删掉 \(n\) 号点。 注意到如果 \(x_i\ ......
【题解 CF840C & P4448】 On the Bench & 球球的排列
On the Bench 题面翻译 给定一个序列 \(a(a_i\le 10^9)\)，长度为 \(n(n\le 300)\)。 试求有多少 \(1\) 到 \(n\) 的排列 \(p_i\)，满足对于任意的 \(2\le i\le n\) 有 \(a_{p_{i-1}}\times a_{p_i} ......
Go - Changing the Timing for Running Performance Tests
Problem: You want to run performance tests for a specific duration or a specific number of iterations. Solution: You can increase the minimum duration ......
Learn Git in 30 days—— 第 30 天：分享工作中几个好用的 Git 操作技巧
写的非常好的一个Git系列文章，强烈推荐 原文链接：https://github.com/doggy8088/Learn-Git-in-30-days/tree/master/zh-cn 终于来到了最后一天，这篇文章将分享几个好用的 Git 操作技巧，或许可以节省你不少 Git 版控过程的时间。 如 ......
论文阅读：Knowledge Distillation via the Target-aware Transformer
摘要 Knowledge distillation becomes a de facto standard to improve the performance of small neural networks. 知识蒸馏成为提高小型神经网络性能的事实上的标准。 Most of the previo ......
Nginx配置错误：connect() failed (10061: No connection could be made because the target machine actively refused it) while connecting to upstream
问题描述 今天本打算学一下Nginx反向代理发送请求到OpenResty(其实也就是个Nginx，可以把它理解成Anaconda中的python版本)，再通过OpenResty使用Lua脚本向Redis或数据库查找缓存来着，在配环境的时候报了个502错误。 我把我的环境描述下，这样如果有遇到这个问题 ......
Robust Graph Representation Learning via Neural Sparsification
目录概符号说明NeuralSparse Zheng C., Zong B., Cheng W., Song D., Ni J., Yu W., Chen H. and Wang W. Robust graph representation learning via neural sparsifica ......
ERROR: The Python ssl extension was not compiled. Missing the OpenSSL lib?
CentOS7 pyenv安装Python 3.10.13 报错 yum install -y openssl-devel openssl11-devel openssl11-lib CPPFLAGS="-I/usr/include/openssl11" LDFLAGS="-L/usr/lib64/ ......
[914] In Python's datetime library, you can format dates using the strftime() method
In Python's datetime library, you can format dates using the strftime() method. This method allows you to create a formatted string representation of ......
论文阅读 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
原始题目：Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection 中文翻译：Generalized Focal Loss：学习用于密集目标检测的 Qual ......
[911] Read Data from Google Sheets into Pandas without the Google Sheets API (.gsheet)
ref: Read Data from Google Sheets into Pandas without the Google Sheets API import pandas as pd sheet_id = "1XqOtPkiE_Q0dfGSoyxrH730RkwrTczcRbDeJJpqRB ......
definition of the convex optimization
A convex optimization problem is one in which the objective and constraint functions are convex, which means they satisfy the inequality \(f_i(\alpha ......
The solution of P9194
10黑寄。 problem & blog 考虑到处理加边并不简单，所以我们可以考虑一个黑点 \(p\)，连边\((u,p)(p,v)\)。 考虑在现在这棵树上连个点在原图中有变相连相当于有一个公共的 \(p\) 是它们的邻居。 于是删边操作等价于将一个点的儿子黑点并到父亲黑点上。 为了统计答案我们设 ......
Meta Learning概述
Meta Learning概述（一） 回顾Machine Learning 定义一个function（神经网络等），该function上有很多参数，参数统一定义为θ，对于一个猫狗分类器来说，当猫狗的图片经过f(θ)时，函数会输出一个猫或狗的结果 定义一个Loss function，L(θ) 使用优化 ......
CF837G Functions On The Segments
CF837G Functions On The Segments Functions On The Segments - 洛谷 | 计算机科学教育新生态 (luogu.com.cn) 目录CF837G Functions On The Segments题目大意思路code 题目大意 你有 \(n\) ......
D. Monocarp and the Set
D. Monocarp and the Set Monocarp has $n$ numbers $1, 2, \dots, n$ and a set (initially empty). He adds his numbers to this set $n$ times in some order ......
[908] Implementation of the progress bar in Python
You can implement a progress bar in Python to visually represent the progress of a task using various libraries. One commonly used library for this pu ......
[905] The replace() method in Pandas
In Pandas, the replace() method is used to replace values in a DataFrame or Series. You can use this method to replace one or more specified values wi ......
【转载】How to solve the problem that getting timestamp from Mysql database is 8 hours earlier than the normal time
This article introduces the relevant knowledge of "how to solve the problem of obtaining timestamp from Mysql database 8 hours earlier than the normal ......
Paper Reading: Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
为了实现基于 GAN 的交互式的基于点的操作，本文提出了 DragGAN，它解决了监督手柄点向目标移动和跟踪手柄点两个子问题，以便在每个编辑步骤中知道它们的位置。本文模型是建立在 GAN 的特征空间具有足够的区分力以实现运动监督和精确点跟踪的特性之上的，运动监督通过优化潜在代码的移位特征损失来实现的... ......
《Deep Residual Learning for Image Recognition》阅读笔记
论文标题 《Deep Residual Learning for Image Recognition》 撑起CV界半边天的论文 Residual ：主要思想，残差。 作者 何恺明，超级大佬。微软亚研院属实是人才辈出的地方。 初读 摘要 提问题： 更深层次的神经网络更难训练。 提方案： 提出了残差网络 ......
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks 关键词：LSTM，Seq2Seq 📜 研究主题 采用深度神经网络DNN 使用LSTM，并翻转输入句子顺序提升性能 ✨创新点： 更换seq2seq中RNN单元为LSTM，有提升对长句子训练速度的可能 ......
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation 关键词：GRU、Encoder-Decoder 📜 研究主题 提出了Encoder-Decoder结构，采用两 ......