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Fontys Venlo best maven practices. "Up with your competencies" The 'testeasypom' Parent pom that provides all dependencies that you need for modern testing, generating good looking Javadoc and a set of static test reports using spotbugs, pmd, and checkstyle. This is NOT cargo-cult, because NONE of the dependencies in this pom will end up in your final product. This is a continuation of sebipom. Version 4.0.7: update dep and plugin versions. Version 4.0.8: jacaco 0.8.8 for java 17 and 18 support Version 4.0.11: default to java 17 Version 5.1.0: default to java 21 Version 5.2.0: include testfx stuff in fx profile

日志模块，集成log4j2, 提供工具类可静态打印日志, 业务可import通用日志配置(中间件配置和业务基础配置)开箱即用， 另外还提供http接口出入参打印和rpc提供者和消费者的出入参打印(有开关可以热启动和热关闭，同时可在线修改日志级别)， traceId在日志中进行输出以及普通文件日志之外的结构化日志( 供运维采集分析可视化)，提供全链路信息（包括tid）跨线程跨线程池的能力 Log module, integrates log4j2, provides tool classes that can print logs statically, business can import common log configurations (middleware configuration and business basic configuration) out of the box, and also provides http interface input and output parameter printing and rpc providers and consumers. Input and output parameter printing (there is a switch for hot start and hot shutdown, and the log level can be modified online), traceId is output in the log and structured logs other than ordinary file logs (for operation and maintenance collection and analysis visualization). The ability to provide full link information (including tid) across threads across thread pools.

Set of various Utils: stacktrace noise filter, String to/from unicode sequence converter, simple Http client JSON parser/serializer, Silent String parsing to Integer and other numeric types, Parsing String to time intervals with support for time unit suffixes, JSON parser that provides serialization/deserialization of classes to JSON, Version comparator and Version ranges operations, Self-throttling binary reader from Http request, File reader, A utility that automatically initiates a Factory with instances of all classes that implement user provided interface. An infrastructure for writing Scheduled Task classes where time interval for task execution is provided in humanly readable format (such as "9h" for 9 hours)

Unicode Emoji List for Java is a comprehensive library that provides easy access to the vast world of Unicode emojis. This project aims to offer a user-friendly API for retrieving and utilizing emoji characters and their metadata within Java applications. The library covers a wide range of emojis as defined in the latest Unicode standards, ensuring compatibility and up-to-date representation of emojis across different platforms and devices. Whether for enhancing text processing capabilities, developing chat applications, or for any project requiring emoji support, Unicode Emoji List for Java delivers a robust and reliable solution. Its straightforward implementation allows for seamless integration into existing Java projects, fostering creativity and expanding the expressive potential of digital communication.

This artifact provides the implementation of (a blue-fringe version of) the "regular positive negative inference" (RPNI) learning algorithm as presented in the paper "Inferring regular languages in polynomial update time" (https://dx.doi.org/10.1142/9789812797902_0004) by Jose Oncina and Pedro García using the "minimum description length" (MDL) heuristic. More details on this algorithm can be found in the book "Grammatical Inference" (https://doi.org/10.1017/CBO9781139194655) by Colin de la Higuera.

This artifact provides the implementation of (a blue-fringe version of) the "regular positive negative inference" (RPNI) learning algorithm as presented in the paper "Inferring regular languages in polynomial update time" (https://dx.doi.org/10.1142/9789812797902_0004) by Jose Oncina and Pedro García using the "evidence-driven state merging" (EDSM) heuristic. More details on this algorithm can be found in the book "Grammatical Inference" (https://doi.org/10.1017/CBO9781139194655) by Colin de la Higuera.

This artifact provides the implementation of the L* learning algorithm described in the paper "Learning Regular Sets from Queries and Counterexamples" (https://doi.org/10.1016/0890-5401(87)90052-6) by Dana Angluin including variations and optimizations thereof such as the versions based on "On the Learnability of Infinitary Regular Sets" (https://dx.doi.org/10.1006/inco.1995.1070) by Oded Maler and Amir Pnueli or "Inference of finite automata using homing sequences" (http://dx.doi.org/10.1006/inco.1993.1021) by Ronald L. Rivest and Robert E. Schapire.

DefaultJ is a powerful Java library that provides default values for any class, offering multiple strategies for obtaining those values. It can be used as a dependency injection utility, similar to Guice. With 14 built-in strategies, DefaultJ can obtain default values through various means such as explicit bindings, annotations, enum values, factory methods, and more. It also supports custom annotations and offers annotation processors for validation. Available on Maven Central, DefaultJ can be easily integrated into Gradle and Maven projects. Contributions and selective usage of the library are encouraged.

This artifact provides the implementation of the model checker presented in the paper "M3C: Modal Meta Model Checking" (https://dx.doi.org/10.1007/978-3-030-00244-2_15) by Bernhard Steffen and Alnis Murtovi. The paper is based on "Model Checking for Context-Free Processes" (https://link.springer.com/chapter/10.1007/BFb0084787) by Olaf Burkart and Bernhard Steffen. Note that this implementation requires a runtime dependency to a specific ADDLib backend (see https://add-lib.scce.info/), which is not explicitly included in this artifact due to packaging reasons.