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An SLF4J log provider that directly implements the SLF4J API and provides logging output suitable for console output (i.e. not to a file). The width of the output is restricted to the terminal width, with the possibility to split the width into multiple sections, each which may be a fixed width, or 'auto' which divides all remaining space amongst other automative sections. Any log attribute fields may then be placed in any of the sections with a particular alignment. Text will not overflow out of its section. Sections may be colour or styled with other text attributes, including hyperlinks for supported termins. Emoticons and other graphical sequences may be used in place of log levels. Configuration is achieved via 'ini' type files, which are reload automatically when changed.

A scalable, concurrent, in-memory Key Value (KV) map. Oak implements a concurrent Key-Value map that can keep all keys and values off-heap. This enables working with bigger heap sizes than JVM's managed heap. OakMap implements an API similar to the industry standard Java8 ConcurrentNavigableMap API. It provides strong (atomic) semantics for read, write, and read-modify-write, as well as (non-atomic) range query (scan) operations, both forward and backward. OakMap is optimized for big keys and values, in particular, for incremental maintenance of objects (update in-place). It is faster and scales better with additional CPU cores than the popular Java ConcurrentNavigableMap ConcurrentSkipListMap

Rule Learner is an open source Java library for learning business rules from historical data. It supports supervised Machine Learning by incorporating well-known algorithms such as RIPPER and C4.5 provided by open source tools such as Weka. Rule Learner is implemented as a Machine Learning component of OpenRules Decision Manager. It allows business analysts to place their historical data in simple Excel tables and to automatically discover business rules that find certain pattern in this data. The generated rules are human readable and presented in Excel format executable by OpenRules Decision Manager.

This module allows you to enable suppressions for turning off warnings about Restricted APIs. !!!WARNING!!! Classes are marked as @Restricted for a reason and this module should not be used lightly! It implies that the author does not intend for them to be used outside their defined scope and as such they may be changed/modified/removed at any stage without warning. A simple upgrade of the dependency may break your module. Use at your own risk. You should try to not use @Restricted classes in the first place, but if you _must_ use them, this is a less-brutal approach than just disabling the access-modifier-checker entirely

According to Docker best practices a Docker container should not be up if the process fails to load properly. Apache Tomcat deploys all the web applications loaded in its webapp folder. This is a resilient solution for web applications not influencing the application server. However, In a Docker environment according to best practice, the process should fail in case the web application failed to initialize properly. By adding the additional jar created by this project to Tomcat classpath and adding the new listener in the Tomcat conf/server.xml the user can make sure the Tomcat process fails in case there is an initialization exception in their web application which will cause the Tomcat used the tomcat container to abort in immediately indicate that there was an initialization error Abort tomcat when a webapp fails to deploy in Docker container Docker container best practice. Tomcat does not stop if a webapp fail to deploy and the container will continue to run. By adding this listener the tomcat will abort in case the Tomcat fails to deploy the webapp, And the container will not start. You will need to place the listener in Tomcat server.xml and set the Tomcat classpath to contain this jar