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Working With Strings In Python.
# 字符串操作 在Python中，`string` 是一种不可变的数据类型，用于表示文本或字符序列，可以使用单引号或双引号将字符串括起来。<font color="#C7EDCC">所有修改和生成字符串的操作的实现方法都是另一个内存片段中新生成一个字符串对象。</font> ## 创建字符串 ``` ......
A named channel for communicating with platform plugins using asynchronous /// message passing.
Future<void> initWithScopeLimitCredential() async { final BasicMessageChannel<Object?> channel = BasicMessageChannel<Object?>( 'dev.flutter.pigeon.Cos ......
[论文阅读] Anomaly Detection with Score Distribution Discrimination
Anomaly Detection with Score Distribution Discrimination 1 Introduction 如图1所示。Fig 1a~1c。这些方法基于学习到的输入数据的特征转换（如重构误差或embedding距离），生成异常分数。然而，在表示空间中的优化会导致数 ......
How to clone git repository with specific revision/changeset?
How to clone git repository with specific revision/changeset? 回答1 UPDATE 2 Since Git 2.5.0 the feature described below can be enabled on server side w ......
Android Installation failed with message INSTALL_FAILED_TEST_ONLY
出现Android Installation failed with message INSTALL_FAILED_TEST_ONLY问题的解决方法： 打开grade.properties文件，在最底下加入：android.injected.testOnly=false ......
Module parse failed: Unexpected token (7:27) File was processed with these loaders: * ./node_modules/vue-loader/dist/templateLoader.js * ./node_modules/vue-loader/dist/index.js 问题的解决
问题描述 由于自身用的是vue3的版本，所以原来的element组件只是适用于vue2，而vue3就是即便按照教程的步骤进行更改，还是依然报错，所以， 我们在使用组件的时候，就需要直接使用element-plus组件； 然而，在我引入新的组件之后，就出现了这样的错误： 满屏的红色呀！ 问题解决 经过 ......
【spec】字段%bcond_with(out)
字段%bcond_with(out) 在编写rpm包的spec文件过程中，我们通常会遇到如下字段： %bcond_without tests 这类定义一般出现在spec文件的开头，通常在后文中还会有引用，作为某个判断的标准，来确定是否执行这个if block，如 %if %{with tests} ......
ClickHouse的WITH-ALIAS是如何实现的
ClickHouse的WITH-ALIAS是如何实现的 WITH-ALIAS包含相似但不同的两个特性： WITH <表达式> as <别名> WITH <别名> as <子查询> WITH <表达式> as <别名> 特性 以下SQL展示了 WITH <表达式> as <别名> 特性的用法。 wit ......
Codeforces Round 815 (Div. 2) A. Burenka Plays with Fractions
给两个数 \(\frac{a}{b}\) 和 \(\frac{c}{d}\) ，一次修改可以修改 \(a\) 或 \(b\) 之一，求最小修改数使得 \(\frac{a}{b} = \frac{c}{d}\) 。 若 \(\frac{a}{b} = \frac{c}{d}\) ，除式化乘式，则讨论 ......
Codeforces Round 824 (Div. 2) B. Tea with Tangerines
有 \(n\) 块橘子皮，第 \(i\) 块大小为 \(a_i\) 。在一部操作中可以把一块橘子皮分成两块，即这块橘子皮为 \(x\) ，让 \(x\) 变为 \(y, z(x = y + z)\) 。 希望对于任意两块橘子皮，他们相差严格小于两倍。即两块中更小的为 \(x\) ，更大的为 \(y\ ......
论文解读（LR2E）《Learning to Reweight Examples for Robust Deep Learning》
Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Learning to Reweight Examples for Robust Deep Learning论文作者：Mengye Ren、Wenyuan Zeng、Bin Yang、Raquel Urta ......
CF896B Ithea Plays With Chtholly
原题 翻译 Chtholly可爱捏 我们先考虑如果\(n \cdot c \leq m\)我们要怎么做，我们可以发现里面一定存在一个数出现了\(\geq \lceil \frac{m}{c} \rceil\)，不妨设这个数为\(x\)，因此我们只需要把所有数都改成\(x\)就可以了 等等好像不对，我 ......
Proj CDeepFuzz Paper Reading: Metamorphic Testing of Deep Learning Compilers
## Abstract 背景：Compiling DNN models into high-efficiency executables is not easy: the compilation procedure often involves converting high-level model ......
mysql create procedure with in parameters ,call procedure
//create procedure statementdelimiter $$ use db $$ drop procedure if exists insertIntoT1Table; create procedure insertIntoT1Table(in num int) begin de ......
floccus bookmarks sync 同步报错 Syncing failed with E034: Bookmarks file is unreadable. Did you forget to set an encryption passphrase?
使用floccus bookmarks sync 同步不同浏览器中的书签时候，第二个浏览器同步时报该错误： Syncing failed with E034: Bookmarks file is unreadable. Did you forget to set an encryption pass ......
Proj CDeepFuzz Paper Reading: A Comprehensive Study of Deep Learning Compiler Bugs
## Abstract 背景：深度学习编译器处理的深度学习模型与命令式程序有根本的不同，因为深度学习模型中的程序逻辑是隐式的。（the DL models processed by DL compilers differ fundamentally from imperative programs ......
Proj CDeepFuzz Paper Reading: DeepMutation: Mutation Testing of Deep Learning Systems
## Abstract 本文：DeepMutation Github: https://github.com/berkuva/mutation-testing-for-DNNs Task: mutation testing framework specialized for DL systems t ......
Proj CDeepFuzz Paper Reading: Testing Deep Neural Networks
## Abstract 本文:DeepCover Github: https://github.com/TrustAI/DeepCover Task: propose 4 novel test criteria to test DNNs Method: inspired by MC/DC cover ......
Proj CDeepFuzz Paper Reading: PyTorch: an imperative style, high-performance deep learning library
## Abstract 本文： PyTorch Task: detail the implementation and architecture of PyTorch Github: https://github.com/pytorch/pytorch 特点： 1. PyTorch同时关注可用性和速 ......
Proj CDeepFuzz Paper Reading: Software Testing with Large Language Model: Survey, Landscape, and Vision
## Abstract 本文: Task: Review on the use of LLMs in software testing Method: 1. analyzes 52 relevant studies ## 1. Intro  to induce misclassifi ......
Proj CDeepFuzz Paper Reading: Decompiling x86 Deep Neural Network Executables
## Abstract 本文: BTD github: https://github.com/monkbai/DNN-decompiler/ Task: a decompiler for DNN models to output DNN specifications including: opera ......
appium运行报错UiAutomator exited unexpectedly with code 0, signal null
增加配置 desired_caps['automationName'] = "UiAutomator2" 再次运行后，正常 ......
Automate the Boring Stuff with Python（读后感）
这里主要就是记录下这本书的主要内容，自己以后想起来的时候可以直接看这个博客 整本书的内容看目录就很清楚了，所以下面就是目录加自己的一点心得体会 ### Python编程基础 基础中的基础，但有个很重要的轮子 `PrettyPrint`：把输出打印的更漂亮 ### 自动化任务 这是重点，一次性肯定记不 ......
Time Matters Sequential Recommendation with Complex Temporal Information
[TOC] > [Ye W., Wang S., Chen X., Wang X., Qin Z. and Yin D. Time Matters: Sequential recommendation with complex temporal information. SIGIR, 2020.]( ......
git pull 提示 hint: You can replace "git config" with "git config --global" to set a default
hint: You can replace "git config" with "git config --global" to set a defaulthint: preference for all repositories. You can also pass --rebase, --no- ......
Working With Files in Python
# 文件操作 ## Python中文件的读和写 参考文档[Working With Files in Python](https://realpython.com/working-with-files-in-python/) Python的读写非常简单，但是需要在合适的模式下打开。通常都是使用以下规 ......
Proj CDeepFuzz Paper Reading: COMET: Coverage-guided Model Generation For Deep Learning Library Testing
## Abstract 背景：已有的方法(Muffin, Lemon, Cradle) can cover at most 34.1% layer inputs, 25.9% layer parameter values, and 15.6% layer sequences. 本文：COMET Gi ......
Proj CDeepFuzz Paper Reading: IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks
## Abstract 本文：IvySyn Task: discover memory error vulnerabilities in DL frameworks BugType: memory safety errors, fatal runtime errors Method: 1. 利用na ......
论文精读：带有源标签自适应的半监督域适应（Semi-Supervised Domain Adaptation with Source Label Adaptation）
# Semi-Supervised Domain Adaptation with Source Label Adaptation 具有源标签适应的半监督域适应 >[原文链接](https://openaccess.thecvf.com/content/CVPR2023/papers/Yu_Semi- ......