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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.

Lilith is a logging and access event viewer for the Logback logging framework. It has features comparable to Chainsaw, a logging event viewer for log4j. This means that it can receive logging events from remote applications using Logback as their logging backend. It uses files to buffer the received events locally, so it is possible to keep vast amounts of logging events at your fingertip while still being able to check only the ones you are really interested in by using filtering conditions.

With distributed systems being developed as a part of the cloud age. With focus on performance associated with an application dependent on one DB instance, there is a need to bring down the dependency to a database to generate unique numbers for creating a private key when lots of data needs to be stored in the database tables. This library is intended to provide a way of generating unique numbers on the fly in a JAVA based distributed system. This is not a new concept but this library helps in keeping you focused on the business logic that you need to develop for your applications rather than spending time on how this is done. Typically applications powered by RDBMS can leverage the benefit as instant scalability might not be available for these setups when the load to the system spikes.

A JNA based library providing access to some low-level Linux subsystems, including :- * UInput. Create virtual devices such as keyboards, mice and touchpads and emit events from them as if they were real. * Evdev. Read events from various devices such as keyboards, mice, touchpads, and all other devices exposed by Linux. * Frame Buffer. Write directly to the Linux framebuffer. Allows graphical user interfaces without X being present. As from version 2.0, this library is now in uk.co.bithatch namespace. Version 2.1 and above support Java 8, and module Java 9 and above.

This small library provides an optimized solution to a problem where tasks for a particular key need to be processed sequentially as they arrive. This kind of problem can be solved by a SingleThreadExecutor, however it is not efficient. The issue is that the tasks for unrelated keys are not being processed in parallel, instead they are put into a queue common to all keys and wait for the single thread to execute them. This library allows them to be executed concurrently. Moreover this library works well in a situation where all the possible keys and their number is not known upfront.

Jadex XML is an XML data binding framework for Java and also for other representations. The main idea of Jadex XML is that neither the XML-Schema on the one side nor the Java classes on the other side should define other binding. Instead, a separate mapping between both is used as a mediation. This allows designing the XML representation independent of the Java side but still being able to connect both as desired. This idea was first put forward by the JiBX data binding framework. Jadex XML pushes it further by combining it with the configuration by exception principle. The framework can detect obvious correspondences between both sides automatically and only needs configuration information when translations are necessary. The configuration information is currently specified directly in form of Java configuration classes.

FunctionExecutors 1. GeoWithinFunctionExecutor Input : (longitude double, latitude double, geoJSONGeometryFence string) OR (geoJSONGeometry string, geoJSONGeometryFence string) Output : true if (longitude, latitude) or geoJSONGeometry is within the geoJSONGeometryFence 2. GeoIntersectsFunctionExecutor Input : (longitude double, latitude double, geoJSONGeometryFence string) OR (geoJSONGeometry string, geoJSONGeometryFence string) Output : true if (longitude, latitude) or geoJSONGeometry intersects the geoJSONGeometryFence 3. GeoWithinDistanceFunctionExecutor Input : (longitude double, latitude double, geoJSONGeometryFence string, distance double) OR (geoJSONGeometry string, geoJSONGeometryFence string, distance double) Output : true if (longitude, latitude) or geoJSONGeometry is within distance of the geoJSONGeometryFence StreamProcessors 1. GeoCrossesStreamProcessor Input : (id string, longitude double, latitude double, geoJSONGeometryFence string) OR (id string, geoJSONGeometry string, geoJSONGeometryFence string) Output : an event with `crosses` additional attribute set to true when the object ((longitude, latitude) or geoJSONGeometry) crosses into geoJSONGeometryFence and an event with `crosses` additional attribute set to false when the object crosses out of the geoJSONGeometryFence 2. GeoStationaryStreamProcessor Input : (id string, longitude double, latitude double, geoJSONGeometryFence string, radius double) OR (id string, geoJSONGeometry string, geoJSONGeometryFence string, radius double) Output : when the object ((longitude, latitude) or geoJSONGeometry) starts being stationary within the radius an event with `stationary` additional attribute set to true. When the object starts to move out of the radius an event with `stationary` additional attribute set to false. 3. GeoProximityStreamProcessor Input : (id string, longitude double, latitude double, geoJSONGeometryFence string, radius double) OR (id string, geoJSONGeometry string, geoJSONGeometryFence string, radius double) Output : when two objects ((longitude, latitude) or geoJSONGeometry) starts being in close proximity within the radius an event with `inCloseProximity` additional attribute set to true. When the object starts to move out of the radius an event with `inCloseProximity` additional. attribute set to false. On each event, additional attributes `proximityWith` gives the id of the object that this object is in close proximity and `proximityId` is an id unique to the pair of objects

LaukvikCSV is a powerful API for reading, writing and querying tabular data stored in the CSV format. In contrast to other API it lets you specify data types for each column using meta data. It automatically detects delimiters so you don't have to worry about delimiters being comma, tab, pipe, semicolon etc. Run powerful queries to filter your data easily with a fluid query language thats type safe. Export your tabular data to CSV, JSON, XML and HTML.

Bond is a small library that can be used to spy values and mock functions during tests. Spying is a replacement for writing the assertEquals in your test, which are tedious to write and even more tedious to update whem your test setup or code inevitably changes. With Bond, you separate what is being verified, e.g., the variable named output, from what value it should have. This way you can quickly spy several variables, even have structured values such as lists or dictionaries, and these values are saved into an observation log that is saved for future reference. If the test observations are different you have the option to interact with a console or visual tool to see what has changed, and whether the reference set of observations need to be updated.

In order to get around the JBI Lifecycle Classpath limitation in the application server, a new JBI jar file is being created called esb_jbi_framework.jar. This jar file will contain a MANIFEST.MF file that contains Class-Path: entries that point towards the jbi_rt.jar (JBI Runtime) and jbi_tests.jar (Scaffolding Registry et al) . This way we dont have to combine the throwaway jbi_tests.jar with the main jbi_rt.jar later. We would simply have to dereference it from jbi_framework.jar. Likewise adding a new JAR to the same classpath would simply mean adding a new entry to the ClassPath: header field.