Checkstyle VS jina

I'm trying to use Google's checkstyle. I want certain things to be an error, such as using Tabs for indentation. When I run mvn checkstyle:check with a file with a tab in the first column, it always gives a [WARN] rather than the error that I've asked for. Pom snippet: org.apache.maven.plugins maven-surefire-plugin ${maven-surefire-plugin.version} ${maven-surefire-plugin.skipUnitTests} org.apache.maven.plugins maven-checkstyle-plugin 3.1.2 checkstyle validate check google_checks.xml UTF-8 true true warning true I'm using google_checks.xml as from https://github.com/checkstyle/checkstyle/blob/master/src/main/resources/google_checks.xml. I have changed the severity for the FileTabCharacter to "error"

1. Conflicts between Spotless and Checkstyle Checkstyle is a tool for checking Java source code for compliance with code standards or a set of validation rules (best practices).

Never had anything like that though for four years my life revolved around getting PMD, checkstyle and Sonar rules to pass so my pull request would merge.

PMD, and checkstyle as well.

I’m a little out of date with Java, but I believe Checkstyle is currently popular: https://github.com/checkstyle/checkstyle

Another example can be applied to code quality itself. Most static analyzers are configurable. If you tried to set Checkstyle Google configuration to the mature project, you would probably get hundreds or even thousands of errors. You can start with just one rule. Ar first glance, it seems not so important. But after the moment when the configuration reaches the repository, you can be sure that no one else can violate this rule in the future.

Checkstyle: a tool that helps programmers write Java code that adheres to a coding standard: https://github.com/checkstyle/checkstyle

So I was there once, sharing my solution. For my current project I use the java formatter jar, but on my previous work I was using checkstyle, you can get it from here: Checkstyle. Then pass your checkstyle xml format config.

Jina mainly because of their use of neural networks and AI.

Jina - It’s an open-source project where you can build search engines. Well maybe not no code but it claims that you only need a few lines of code for creating projects. The project supports semantic, text, image, audio, and video search. What I’m also interested in is with their neural search and generative AI. I’m also interested in the amount of github repo that they have. I have this on my radar since this is also something I was interested in.

Do you guys have any ideas how we can match images on our database? We’re working on a project that about matching images on our database. We were trying to use SIFT and some other similar methods, but for some reason, nothing doesn’t seem to be working that well. Does anyone have any suggestions for the most effective way to do this? Maybe some open-source solutions like HuggingFace or Jina AI? We just want to make sure our image matching is correct and that part’s been a bit of a struggle on our part.

The tech lets you find 3D models without sifting through tons of text - An information retrieval framework does the heavy lifting and compares models to each other, no descriptions or keywords needed.

Jina AI -They offer a neural search solution that can help build smarter, more efficient search engines. They also have a list of cool github repos that you can check out. Similar to Vertex AI, they have image classification tools, NLPs, fine tuners etc.

Well, it's not exactly a new feature, but we've been working on early support for DocArray v2 in Jina.

Jina let’s you serve all of your models through the same Gateway while deploying them as individual microservices. You can also tie your models together in a pipeline if needed. Also some nice ML focussed features such as dynamic batching.