for

intellij idea常用快捷键快速生成main方法、for循环、out输出

1、System.out.println() //输入sout,按下enter键,生成System.out.println()方法.sout >soutv=System.out.println("变量名 = " + 变量)soutp >System.out.println("") 2、public ......
快捷键 intellij 常用 方法 idea

c# for循环下使用try catch导致性能问题

在for循环里,有8w数据,结果需要10+分钟才遍历完(生产环境下),结果发现导致耗时的代码如下 try { ritem.Qty = Convert.ToDecimal(value); } catch(Exception e) { Logger.Info(e.ToString()); ritem.Q ......
性能 问题 catch for try

《金融数字化能力成熟度指引》(JR/T 0271-2023)【Guidelines for financial digitalization capability maturity】学习

2023年11月8日,中国人民银行正式印发《金融数字化能力成熟度指引》(JR/T 0271-2023)【Guidelines for financial digitalization capability maturity】(以下简称“《指引》”)。《指引》提出了金融数字化能力成熟度模型、成熟度计算 ......

Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition-2023

任务:人类活动识别任务Human Activity Recognition HAR 指标:系统准确性、公平性、鲁棒性、可扩展性 方法:1. 提出一个带有层次聚类(针对鲁棒性和公平的HAR)个性化的FL框架FedCHAR;通过聚类(利用用户之间的内在相似关系)提高模型性能的准确性、公平性、鲁棒性。 2 ......

Educational Codeforces Round 160 (Rated for Div. 2)

A. Rating Increase 字符串处理 #include<bits/stdc++.h> using namespace std; void solve(){ string s; cin>>s; int n=s.size(); s=" "+s; for(int i=1;i<=n-1;i++) ......
Educational Codeforces Round Rated 160

Github Action - Error: Kubectl '1.29.0' for 'amd64' arch not found

Error: Kubectl '1.29.0' for 'amd64' arch not found Changing - name: Install kubectl uses: azure/setup-kubectl@v3 with: version: '1.28.2' # version of ......
39 Kubectl Github Action Error

Should be the workers need to dress uniform for work?

The need for workers to dress in uniforms for work depends on the specific industry, company, and job role. In some cases, uniforms may be required fo ......
workers uniform Should dress need

Rust中的for循环详细介绍

Rust中的for循环详细介绍 在Rust编程语言中,for循环是一种常用的控制流结构。它允许你重复执行一段代码,直到满足特定的条件。Rust中的for循环与其他编程语言中的类似结构略有不同,因为它更注重安全性和性能。 在Rust中,for循环通常用于遍历集合或序列,例如数组、向量、字符串等。它采用 ......
Rust for

B. Preparing for the Contest

原题链接 快速读题 给出一个序列,使其满足\(a[i]>a[i-1],i>1\)成立的次数恰好为k 思路 只要满足条件的序列都算作成立,我们就可以特殊化 先做出一个单增序列,由于前半部分所有元素都满足条件,所以前半部分保留(k+1)个元素,翻转后(n-k-1)个元素 但是sort默认升序,所以我们倒 ......
Preparing Contest for the

流程控制之for循环结构

1.for循环使用场景 1. 需要反复、重复执行的任务 2. 如创建100个用户,打印一百遍 chaoge666、插入数据库一万条数据等。 2.for语法 for 变量名 in 取值列表 do 每次循环要执行的命令 done # for默认以空格分割独立的元素 3.for循环几个场景 3.1 循环多 ......
流程 结构 for

Could not build wheels for pillow, which is required to install pyproject.toml-based projects 解决方案

参考来源,致敬大佬。 ERROR: Could not build wheels for Pillow, which is required to install pyproject.toml-based projects-CSDN博客 报错: Could not build wheels for ......

CF1861C-Queries-for-the-Array-题解

title: CF1861C Queries for the Array 题解 date: 2023-09-06 07:53:53 categories: - 题解 因为插入和删除操作都在队尾,所以对序列前缀分析一下: 若一个序列的答案为 YES,那么它前缀的答案也为 YES。(对于没检查过的序列) ......

Educational Codeforces Round 160 (Rated for Div. 2) 题解A~D

Educational Codeforces Round 160 (Rated for Div. 2) A. Rating Increase 纯暴力,分割字符串,如果n1<n2就输出,如果遍历完整个数组都不存在n1<n2就输出-1. const int N = 2e5 + 10; int toint ......
题解 Educational Codeforces Round Rated

jdk 1.8 for ubuntu

ubuntu安装jdk1.8并配置环境变量-CSDN博客 ......
ubuntu jdk 1.8 for

Educational Codeforces Round 160 (Rated for Div. 2) A~C

A. Rating Increase 题意: 将一个字符串分成两个整数a和b,要求没有前导0,且a < b 思路: 遍历字符串s,若当前位置不是0,则拆分字符串,比较大小 // #include <bits/stdc++.h> #include <iostream> #include <string ......
Educational Codeforces Round Rated 160

Educational Codeforces Round 160 (Rated for Div. 2)

基本情况 A题秒了。 B题卡了实在太久,BC题最后虽然都过了,但是耗时太久。感觉C对我来说更好写。 B. Swap and Delete 经典+3。 总是一条路偏要走到黑了才会想着换思路,早该换了。 一开始想了一大堆乱七八糟的思路,但都错了。 后面往简单了想,这题毕竟最后必须要左对齐的,直接从左往右 ......
Educational Codeforces Round Rated 160

ubuntu 18.04.6编译uboot提示error: bad value (‘generic-armv7-a’) for ‘-mtune=’ switch

按照按照 (https://rocketboards.org/foswiki/Documentation/EmbeddedLinuxBeginnerSGuide)制作了一个image当编译uboot的时候, 发送命令make: make socfpga_cyclone5_config make 得到 ......
generic-armv generic ubuntu switch uboot

Queries for the Array 题解

前言 这场 CF 是我赛后打的,vp 赛时没做出来,后来发现是有个地方理解错了,有一些细节没有考虑到。现在换了一种思路来写,感觉更清晰了。 做法 首先需要动态维护三个变量,\(cnt\) 和 \(finishsort\) 和 \(unfinishsort\)。这三个变量分别表示当前数字的个数,已经排 ......
题解 Queries Array for the

Sw-YoloX An anchor-free detector based transformer for sea surface object detection

Sw-YoloX An anchor-free detector based transformer for sea surface object detection 基于Transformer用于海上目标检测的无锚检测器:Sw-YoloX 1)由于不同海洋状态下的活体和漂浮物体数据稀缺且昂贵,我们 ......

Access denied for user 'root'@'%' to database 'information_schema'

原因 information_schema是一个虚拟的数据库,里面的表其实都是视图。应切换数据库为“真正的数据库” 解决 USE `THE-REAL-DATABASE`; ......

Educational Codeforces Round 160 (Rated for Div. 2)

比赛录屏 \(A. Rating Increase\) https://codeforces.com/contest/1913/submission/237734923 \(B. Swap and Delete\) https://codeforces.com/contest/1913/submis ......
Educational Codeforces Round Rated 160

LightGCL Simple Yet Effective Graph Contrastive Learning For Recommendation论文阅读笔记

Abstract 目前的图对比学习方法都存在一些问题,它们要么对用户-项目交互图执行随机增强,要么依赖于基于启发式的增强技术(例如用户聚类)来生成对比视图。这些方法都不能很好的保留内在的语义结构,而且很容易受到噪声扰动的影响。所以我们提出了一个图对比学习范式LightGCL来减轻基于CL的推荐者的通 ......

Educational Codeforces Round 132 (Rated for Div. 2)

基本情况 AB秒了。C跨度有点太大,题解暂时都还没理解。 C. Recover an RBS Problem - C - Codeforces 待补题 ......
Educational Codeforces Round Rated 132

BigdataAIML-ML-Models for machine learning Explore the ideas behind machine learning models and some key algorithms used for each

最好的机器学习教程系列:https://developer.ibm.com/articles/cc-models-machine-learning/ By M. Tim Jones, Published December 4, 2017 Models for machine learning Alg ......

Relation Networks for Object Detection

Relation Networks for Object Detection * Authors: [[Han Hu]], [[Jiayuan Gu]], [[Zheng Zhang]], [[Jifeng Dai]], [[Yichen Wei]] DOI: 10.1109/CVPR.2018.0 ......
Detection Relation Networks Object for

Deep Residual Learning for Image Recognition:ResNet

Deep Residual Learning for Image Recognition * Authors: [[Kaiming He]], [[Xiangyu Zhang]], [[Shaoqing Ren]], [[Jian Sun]] DOI: 10.1109/CVPR.2016.90 初读 ......
Recognition Residual Learning ResNet Image

Local Relation Networks for Image Recognition: LRNet

Local Relation Networks for Image Recognition * Authors: [[Han Hu]], [[Zheng Zhang]], [[Zhenda Xie]], [[Stephen Lin]] DOI: 10.1109/ICCV.2019.00356 @in ......
Recognition Relation Networks Local Image

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation * Authors: [[Meng-Hao Guo]], [[Cheng-Ze Lu]], [[Qibin Hou]], [[Zhengning ......

CCNet: Criss-Cross Attention for Semantic Segmentation

CCNet: Criss-Cross Attention for Semantic Segmentation * Authors: [[Zilong Huang]], [[Xinggang Wang]], [[Yunchao Wei]], [[Lichao Huang]], [[Humphrey S ......

Dual Attention Network for Scene Segmentation:双线并行的注意力

Dual Attention Network for Scene Segmentation * Authors: [[Jun Fu]], [[Jing Liu]], [[Haijie Tian]], [[Yong Li]], [[Yongjun Bao]], [[Zhiwei Fang]], [[H ......
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