Download JAR files tagged by constraints with all dependencies

A main program (executable JAR) that will listen to port 29998. At first, it can only answer that it is an Envoy (a limited agent). The only function it supports is installing a -runpath. It will then create a framework + agent and transfer the connection to the just installed agent who will then install the bundles. This JAR is a main command for JPM called bndremote. In JPM, it will start up with debug enabled. This JAR does some highly complicated class loading wizardy to ensure that it does not enforce any constraints on the -runpath.

Lifecycle AOP Framework. Enabling describe enhanced State Diagram with Java language, and processing relational Lifecycle constraints(including: state validations, transitions validations), concurrency, lifecycle callbacks, lifecycle events implicitely with Lifecycle Engine. This engine can be used by class load time (Java Instrumentation) or compile time (Lifecycle-StaticWeaver-maven-plugin).

Brownies Collections complements the Java Collections Framework. GapList combines the strengths of both ArrayList and LinkedList. BigList is a list optimized for storing large number of elements. There are specialized List implementations for all primitive data types (IntGapList, IntBigList, IntObjGapList, IntObjBigList). The key collection classes offer support for keys and constraints for lists and collections (KeyList, KeyCollection, KeySet, Key1List, Key1Collection, Key1Set, Key2List, Key2Collection, Key2Set).

Brownies Collections complements the Java Collections Framework. GapList combines the strengths of both ArrayList and LinkedList. BigList is a list optimized for storing large number of elements. There are specialized List implementations for all primitive data types (IntGapList, IntBigList, IntObjGapList, IntObjBigList). The key collection classes offer support for keys and constraints for lists and collections (KeyList, KeyCollection, KeySet, Key1List, Key1Collection, Key1Set, Key2List, Key2Collection, Key2Set).

COBYLA2 is an implementation of Powell's nonlinear derivative free constrained optimization that uses a linear approximation approach. The algorithm is a sequential trust region algorithm that employs linear approximations to the objective and constraint functions, where the approximations are formed by linear interpolation at n + 1 points in the space of the variables and tries to maintain a regular shaped simplex over iterations. It solves nonsmooth NLP with a moderate number of variables (about 100). Inequality constraints only. The initial point X is taken as one vertex of the initial simplex with zero being another, so, X should not be entered as the zero vector.

ModelCC is a model-based parser generator (a.k.a. compiler compiler) that decouples language specification from language processing, avoiding some of the problems caused by grammar-driven parser generators. ModelCC receives a conceptual model as input, along with constraints that annotate it. It is then able to create a parser for the desired textual language and the generated parser fully automates the instantiation of the language conceptual model. ModelCC also includes a built-in reference resolution mechanism that results in abstract syntax graphs, rather than mere abstract syntax trees.

'Benerator' is a framework for creating realistic and valid high-volume test data, used for testing (unit/integration/load) and showcase setup. Metadata constraints are imported from systems and/or configuration files. Data can imported from and exported to files and systems, anonymized or generated from scratch. Domain packages provide reusable generators for creating domain-specific data as names and addresses internationalizable in language and region. It is strongly customizable with plugins and configuration options.

rapiddweller 'Benerator' is a software solution to generate, anonymize, pseudonymize and migrate data for development, testing and training purposes. rapiddweller 'Benerator' is easy to learn, integrates into CI Tools like Jenkins and Gitlab CI and allows to create data models on the most abstract level. rapiddweller 'Benerator' allows creating realistic and valid high-volume test data, used for testing (unit/integration/load) and showcase setup. Metadata constraints are imported from systems and/or configuration files. Data can imported from and exported to files and systems, anonymized or generated from scratch. Domain packages provide reusable generators for creating domain-specific data as names and addresses internationalizable in language and region. It is strongly customizable with plugins and configuration options. rapiddweller 'Benerator' is build for Java 1.8 and Java 11. The development is ongoing for Java 11.