Today, we discuss C# code quality and a variety of errors by the example of CMS DotNetNuke. We're going to dig into its source code. You're going to need a cup of coffee...
It's cool when enthusiastic developers create a working clone of a famous game. It's even cooler when people are ready to continue the development of such projects! In this article, we check TheXTech with PVS-Studio. TheXTech is an open implementation of the game from the Super Mario universe.
How to make a parallel book for language learning. Part 1. Python and Colab version
This is a second article on making parallel books. Today we will use the more advanced tool which will bring rich UI functionality. Lingtrain Alignment Studio is a web application written on Vue and Python. The main purpose of it is to extract the parallel corpora from two raw texts and make a bilingual (or even multilingual) parallel book. This is an open-source project and I will be glad to hear all of your bright ideas. Links to the sources and our community contacts can be found below. Los geht's!
The app is packed into the docker container. It's a simple technology to deploy your stuff anywhere from the server to your local machine. It's available across all the operating systems. So at first, you need a docker installed locally. Then you need to run two simple commands. The first will download the container:
docker pull lingtrain/aligner:v4And the second one will run the application:
docker run -v C:\app\data:/app/data -v C:\app\img:/app/static/img -p 80:80 lingtrain/aligner:v4C:\app\data and C:\app\img — your local folders.
The app will be available on the 80th port. Let's open the localhost page in your favorite browser.
We will make three simple steps: Load, Align, Create
One of the mechanisms of static analysis is method annotations of popular libraries. Annotations provide more information about functions during errors detecting. CARLA is an impressive open-source project in C++ that helped us implement this mechanism to our analyzer. Subsequently, the simulator became a test-target for the improved PVS-Studio static analyzer.
The .NET Foundation is an independent organization, created by Microsoft, to support open-source projects around the DotNet platform. Currently, the organization gathered many libraries under its wing. We have already tested some of these libraries with the help of PVS-Studio. The next project to check with the analyzer - LINQ to DB.
Multimodality has led the pack in machine learning in 2021. Neural networks are wolfing down images, text, speech and music all at the same time. OpenAI is, as usual, top dog, but as if in defiance of their name, they are in no hurry to share their models openly. At the beginning of the year, the company presented the DALL-E neural network, which generates 256x256 pixel images in answer to a written request. Descriptions of it can be found as articles on arXiv and examples on their blog.
As soon as DALL-E flushed out of the bushes, Chinese researchers got on its tail. Their open-source CogView neural network does the same trick of generating images from text. But what about here in Russia? One might say that “investigate, master, and train” is our engineering motto. Well, we caught the scent, and today we can say that we created from scratch a complete pipeline for generating images from descriptive textual input written in Russian.
In this article we present the ruDALL-E XL model, an open-source text-to-image transformer with 1.3 billion parameters as well as ruDALL-E XXL model, an text-to-image transformer with 12.0 billion parameters which is available in DataHub SberCloud, and several other satellite models.
Hi there! A while ago, Positive Technologies published the news that ATMs manufactured by Diebold Nixdorf (previously known as Wincor), or more specifically, the RM3 and CMDv5 cash dispensers, contained a vulnerability which allowed attackers to withdraw cash and upload modified (vulnerable) firmware. And since my former colleague Alexei Stennikov and I were directly involved in finding this vulnerability, I would like to share some details.
RPCS3 is an interesting project that emulates the PS3 console. It is actively evolving. Recently we heard the news that the emulator learned how run all the games from the console's catalog. That's a good excuse to analyze the project. We'll see which errors remained after new fixes were added to the project.
Hello, everybody!
My name is Alexander Zubkov and today I’d like to talk about routing loops.
People often see work in support as something negative. Today we'll look at it from a different perspective. This article is about a real communication of 100+ messages, exceptions, the analysis that didn't complete in three days...
Tools to improve and control code quality can be a key success factor in a complex software project implementation. Static analyzers belong to such tools. Nowadays, you can find various static analyzers: from free open-source to cross-functional commercial solutions. On the one hand, it's great – you can choose from many options. On the other hand – you have to perform advanced research to find the right tool for your team.
Back in 2016 an United States based music composer and performer Sergio Elisondo released an one-man band music album A Winner Is You (know your meme), with multi-instrumental cover versions of tunes from numerous memorable classic NES games. A special feature of this release has been its version released in the NES cartridge format that would run on a classic unmodified console and play digitized audio of the full album, instead of the typical chiptune sound you would expect to come from this humble console. I was involved with the software development part of this project.
This year Sergio makes a return with a brand new music release. This time it is all original music album You Are Error, heavily influenced with the video game music aesthetics. It also comes with a special extra. This time we have raised the stakes, and a new NES cartridge release includes not only the digitized audio, but full motion videos for each song, done in the silhouette cutout style similar to the famous Bad Apple video. Yet again, this project is crowdfunded via Kickstarter. It already got the asked amount in a mere 7 hours, but there is still a little time to jump on the bandwagon and get yourself a copy. In the meantime I would like to share an insight on the technical side of both projects.
Protocol Buffers is a very popular, cool, and high-quality product that is mostly developed by Google. This is a good challenge for the PVS-Studio static code analyzer. Finding at least something is already an achievement. Let's give it a shot.
JiraCLI is an interactive command line tool for Atlassian Jira that will help you avoid Jira UI to some extent. This tool is not yet considered complete but has all the essential features required to improve your workflow with Jira.
The tool started with the idea of making issue search and navigation as straightforward as possible. However, the tool now includes all necessary features like issue creation, cloning, linking, ticket transition, and much more.
The tool supports both jira cloud and on-premise jira installation since the latest release.
We often check retro games. In our company, many developers like to find interesting projects for themselves. They feel nostalgic when they're studying these projects. But we need to run retro games on something, right? This time we checked a project that helps to run old games on modern hardware.
Money theft is one of the most important risks for any organization, regardless of its scope of activity. According to our data, 42% of cyberattacks on companies are committed to obtain direct financial benefits. You can detect an attack at various stages—from network penetration to the moment when attackers start withdrawing money. In this article, we will show how to detect an attack at each of its stages and minimize the risk, as well as analyze two common scenarios of such attacks: money theft manually using remote control programs and using special malware—a banking trojan.
The PVS-Studio developers often check open-source projects and write articles about that. Sometimes, when writing an article, we come across interesting situations or epic errors. Of course, we want to write a small note about it. This is one of those cases.
If you're interested in learning new languages or teaching them, then you probably know such a way as parallel reading. It helps to immerse yourself in the context, increases the vocabulary, and allows you to enjoy the learning process. When it comes to reading, you most likely want to choose your favorite author, theme, or something familiar and this is often impossible if no one has published such a variant of a parallel book. It's becoming even worse when you're learning some cool language like Hungarian or Japanese.
Today we are taking a big step forward toward breaking this situation.
We will use the lingtrain_aligner tool. It's an open-source project on Python which aims to help all the people eager to learn foreign languages. It's a part of the Lingtrain project, you can follow us on Telegram, Facebook and Instagram. Let's start!
At first, we should find two texts we want to align. Let's take two editions of "To Kill a Mockingbird" by Harper Lee, in Russian and the original one.
Once upon a time our DBA team had a task. We had to move a ZooKeeper ensemble which we had been using for Clickhouse cluster. Everyone is used to moving an ensemble by moving its data files. It seems easy and obvious but our Clickhouse cluster had more than 400 TB replicated data. All replication information had been collected in ZooKeeper cluster from the very beginning. At the end of the day we couldn’t miss even a row of data. Then we looked for information on the internet. Unfortunately there was a good tutorial about 3.4.5 and didn’t fit our version 3.6.2. So we decided to use “the extending” for moving our ensemble.
Everyone who runs the static analyzer on a project for the first time is slightly shocked by hundreds, thousands or even tens of thousands of warnings. It may be frustrating. Is my code so terrible? Or is the analyzer lying? In any case, filtering by the severity changes the situation, not completely though. That's why we thought about how we could improve the first experience with the analyzer. Let me show you the new feature step by step...
