ic4j-agent VS libGDX

I have a sample demonstrating web sockets integration with the IC using Java Agent. The agent runs in Helidon web service container. So you will have to run it somewhere locally. But Java Agent is using native binary ICP protocol, same as Rust or JS agents. You can also use Identities, the sample does not use it currently, I might add such functionality later. I have other samples with such functionality. Here is the link to to sample https://github.com/ic4j/samples/tree/master/IC4JWSSample and the link to Java Agent https://github.com/ic4j/ic4j-agent. The package is also available on Maven central. We are working on more samples and professional, detailed documentation.

Neat, thank you! I'd love to see how it compares to the libgdx IntMap[0].

[0] https://github.com/libgdx/libgdx/blob/master/gdx/src/com/bad...

For anyone interested, LibGDX[1] is a very nice open-source game engine for Java. It is cross-platform (mobile, PC/mac, web). Very popular and well maintained, too.

[1] https://github.com/libgdx/libgdx

Source is also available on github https://github.com/libgdx/libgdx to directly check the implementation of a specific classes.

And let me explain, for example jorbis this library has a lot of nested loops in it, i understand why this library using this, but this is really bad. Because when I am trying to use library with this code, this taking so much time to convert ogg to pcm, and yes I know that converting ogg to pcm is a hard process, but I need to optimize my program, make it more better. The main thing is EVERY decoding ogg file library using the same piece of code! And I am not joking for example libgdx.

What the pcm file contains? And what is the structure? What data I should use for converting .ogg file into pcm? Is there any information about pcm files? Is there any repositories in github that converts .ogg files into pcm? (I am already know there is JVorbis, libgdx and jorbis but thats not what i want)

There's a code snippet showing the seed generation and how it feeds into each RNG pattern but it also mentions the use of a "xorshift128+ algorithm" here: https://github.com/libgdx/libgdx/blob/master/gdx/src/com/badlogic/gdx/math/RandomXS128.java

I can't guarantee you'll get a reply, but Mario and Nate's email addresses are in the AUTHORS file.

I found an example for rendering a [Mesh] object using instancing in LibGDX's tests (link), but I'm not sure how to apply that for rendering actual models.

assuming you use that (https://github.com/libgdx/libgdx/blob/master/build.gradle) as your starting point. You first have to ask what it is that your build should cover. Do you need all the spotless checks and release flags and so on or do you just need to package everything up so that it could run.