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Small Java library for generating dynamic proxies on top of [ByteBuddy](https://github.com/raphw/byte-buddy) or [Javassist](https://github.com/jboss-javassist/javassist). You can generate data transfer objects, rich traits or even whole implicit DAO implementations dynamically at runtime easily. This library solves the complex stuff, so you can focus on application logic. Serializability, cloning are already solved by us. We also aim for transparent and easily debuggable proxies, because as we know proxies is usually part of "magic" for the team. Hence, the name of this library - Proxycian as a magician for the proxies ;)

# heatshrink-java Java library used to encode/decode [heatshrink](https://github.com/atomicobject/heatshrink) compressed data. ## Building ```bash ./gradlew build ``` ## Gradle dependency See https://search.maven.org/artifact/io.github.markrileybot/heatshrink-java/ ## Usage ### Java library ```java int windowSize = 9; int lookaheadSize = 8; ByteArrayOutputStream baos = new ByteArrayOutputStream(); try(HsOutputStream out = new HsOutputStream(baos, windowSize, lookaheadSize)) { out.write("ABCABCABCABCABCABC".getBytes()); } try(HsInputStream hsi = new HsInputStream(new ByteArrayInutStream(baos.toByteArray()), windowSize, lookaheadSize)) { byte[] res = new byte[512]; int len = hsi.read(res); System.out.println(new String(res, 0, len)); } ``` ### CLI ```bash $ java -jar heatshrink-java-exe.jar [-h] [-e|-d] [-v] [-w SIZE] [-l BITS] [IN_FILE] [OUT_FILE] ``` ## Status [](https://github.com/markrileybot/heatshrink-java/actions/workflows/gradle-publish.yml) [](https://coveralls.io/github/markrileybot/heatshrink-java?branch=master) [](https://maven-badges.herokuapp.com/maven-central/io.github.markrileybot/geokey)

Azure Video Analyzer provides a platform to build intelligent video applications that span the edge and the cloud. The platform offers the capability to capture, record, and analyze live videos along with publishing the results, video, and video analytics, to Azure services in the cloud or the edge. It is designed to be an extensible platform, enabling you to connect different video analysis edge modules such as Cognitive services containers, custom edge modules built by you with open-source machine learning models or custom models trained with your own data. You can then use them to analyze live video without worrying about the complexity of building and running a live video pipeline. Use the client library for Video Analyzer Edge to simplify interactions with the Microsoft Azure IoT SDKs (https://github.com/azure/azure-iot-sdks) and programmatically construct pipeline topologies and live pipelines.

This is client side library for forker, and the one you most likely want to use in your own applications. It provides the ProcessBuilder replacement, ForkerBuilder, as well the helpers in OSCommand. ForkerBuilder is capable of launching processes using non-blocking I/O or attached to a PTY. It has many additional features not available in the standard process builder including permission elevation, daemonize, processor affinity and more. Parts of the non-blocking API are based on NuProcess (https://github.com/brettwooldridge/NuProcess)

This project provides the best of maven easily consumable a maven parent project, called MavenParent. With this project you get: Checkstyle and PMD checks that will work by default in eclipse with m2e-code-quality. OWASP vulnerability checks of your dependencies. Easy application of BSD-3 clause license to all your code with mycila-license plugin. The ability to easily enforce semantic version on a jar project with japicmp. Prevent duplicates on your classpath with basepom's duplicate-finder. All of the above can be configured or disabled easily with properties, just check their docs, except takari. A whole slew of pretty maven reports including the above are generated in the maven site. The ability to easily deploy to oss nexus, and publish maven generated sites back to github's sites pages.