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A Kotlin-based testing/scraping/parsing library providing the ability to analyze and extract data from HTML (server & client-side rendered). It places particular emphasis on ease of use and a high level of readability by providing an intuitive DSL. First and foremost it aims to be a testing lib, but it can also be used to scrape websites in a convenient fashion.

A Kotlin-based testing/scraping/parsing library providing the ability to analyze and extract data from HTML (server & client-side rendered). It places particular emphasis on ease of use and a high level of readability by providing an intuitive DSL. First and foremost it aims to be a testing lib, but it can also be used to scrape websites in a convenient fashion.

Design Patterns are typically encoded into Java code in an ad-hoc fashion. They are either embedded into the names of the classes or written into the Javadocs. Unfortunately it is impossible to accurately determine a pattern based solely on the class structure without knowing the intent of the code author. JPatterns is a collection of annotations that make it easy to communicate the use of (Design)Patterns within your code to your fellow developers and your future self.

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"