Download JAR files tagged by hardcoded with all dependencies

This module implements the wiring API in a static hardcoded way, that is native compilation friendly.

Password provider extension for Apache Druid that encrypts runtime configuration passwords using AES algorithm with a hardcoded encryption key.

This module implements the wiring API in a static hardcoded way, that is native compilation friendly, also adding kogito specific services.

A utility project to allows you to build sql strings to avoid common typos when hardcoded to a string. It is currently geared towards apache derby syntax. However future releases plan to include other SQL DBMS

The goal of this module is to be able to deploy all the db driver jars to all environments instead of needing to change parent pom properties and rebuilding for each environment. The same effect used to be accomplished by manually updating all related poms with hardcoded dependencies, this module allows for just one place to be updated and the change propogates to all the packaged modules/portlets.

This module contains a more general approach to construct AlignmentAlgorithms by relying on the theoretical concept of Algebraic Dynamic Programming (ADP) as developed by Giegerich et al. ADP defines four ingredients for an alignment algorithm: 1.) A signature that defines the permitted alignment operations. Operations are just function templates with an associated arity, meaning the number of arguments it takes from the left sequence and from the right sequence. In the TCSAlignmentToolbox we have a fixed signature with the following operations: REPLACEMENT(1, 1), DELETION(1, 0), INSERTION(0, 1), SKIPDELETION(1, 0) and SKIPINSERTION(0, 1) 2.) A regular tree grammar that produces alignments, that is: sequences of operations, in a restricted fashion. 3.) An algebra that can translate such trees to a cost. In the TCSAlignmentToolbox this is a Comparator. 4.) A choice function, in case of the TCSAlignmentToolbox: the strict minimum or the soft minimum. An alignment algorithm in the TCSAlignmentToolbox sense of the word then is the combination of choice function and grammar. While we provide hardcoded versions of these combinations in the main package, the adp package allows you to create your own grammars. You can combine them with a choice function by instantiating one of the Algorithm classes provided in this package with a grammar of your choice. For example: AlignmentAlgorithm algo = new SoftADPScoreAlgorithm(my_grammar, comparator); creates an alignment algorithm that implicitly produces all possible alignments your grammar can construct with the given input, translates them to a cost using the algebra/comparator you provided and applies the soft minimum to return the score. This all gets efficient by dynamic programming. Note that there is runtime overhead when using this method in comparison with the hardcoded algorithms. But for complicated grammars this is a much easier way to go. For more information on the theory, please refer to my master's thesis: "Adaptive Affine Sequence Alignment using Algebraic Dynamic Programming"