Download JAR files tagged by should with all dependencies

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This nifi-utils module should be a general purpose place to store widely and generally useful functions that any component might want to leverage. NO DEPENDENCIES should be added. This module is likely to be leveraged by every extension and should not bring along any other dependencies. The only dependency intended is the nifi-api and even this is expected to be already provided in any case where it would be used. The typical place this util would be found is within a nar and all nars already have nifi-api as a parent dependency. The nifi-api can be thought of as a NiFi Application Container level dependency.

This is a Java library which provides a flexible and customizable way to bind command line arguments to Java objects, in a similar manner to how JSON, XML, and YAML can be bound to Java objects. You can easily define Java classes that represent the data structure of your command line arguments, and use annotations to specify how those arguments should be parsed and bound to the corresponding fields in your Java object. This allows you to write command line interfaces that are more intuitive and easier to use, while also reducing the amount of boilerplate code that is needed to parse and validate command line arguments.

fastutil extends the Java Collections Framework by providing type-specific maps, sets, lists, and queues with a small memory footprint and fast operations; it provides also big (64-bit) arrays, sets, and lists, sorting algorithms, fast, practical I/O classes for binary and text files, and facilities for memory mapping large files. This jar (fastutil-core.jar) contains data structures based on integers, longs, doubles, and objects, only; fastutil.jar contains all classes. If you have both jars in your dependencies, this jar should be excluded.

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.

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.

This library is the the backend for the Fitzhì solution. Fitzhì aims to gather all technical data regarding your application portfolio into ONE single portal. Fitzhì provides also analysis and assessments at the project scope, but its main target is the portfolio. The main ambition is to provide a global, and dynamic vision of the technical risk for your IT. The dream functionality for Fitzhì should be the ONE single dashboard, one Single Point Point Of Quality, available for the CTO, or CIO, and ready to resume in one second, one view, the current situation and the historic trend.

The AppOptics Java instrumentation agent jar file. This artifact provides a convenient way to download the agent jar from public Maven repository. Please take note that this should NOT be included as a part of the project dependencies. Rather, this artifact should be integrated into the build process by using extra step such as the "copy" goal of "maven-dependency-plugin". For more information, please refer to https://docs.appoptics.com/kb/apm_tracing/java/install/#getting-the-agent-jar

1) This module contains various Zookeeper recipe implementations. 2) The recipe directory name should specify the name of the recipe you are implementing - eg. zookeeper-recipes-lock. 3) It would be great if you can provide both the java and c recipes for the zookeeper recipes. C recipes go in to zookeeper-recipes/zookeeper-recipes-[recipe-name]/src/c Java implementation goes into zookeeper-recipes/zookeeper-recipes-[recipe-name]/src/java. 4) The recipes hold high standards like our zookeeper c/java libraries, so make sure that you include some unit testing with both the c and java recipe code. 5) Also, please name your c client public methods as zkr_recipe-name_methodname (eg. zkr_lock_lock in zookeeper-recipes-lock/src/c) 6) To run the c tests in all the recipes, - make sure the main zookeeper c libraries in zookeeper-client-c are compiled. Run autoreconf -if;./configure; make. The libraries will be installed in {top}/src/c/.libs. - run autoreconf if;./configure;make run-check in zookeeper-recipes/$recipename/src/c

This library is the the backend for the Fitzhì solution. Fitzhì aims to gather all technical data regarding your application portfolio into ONE single portal. Fitzhì provides also analysis and assessments at the project scope, but its main target is the portfolio. The main ambition is to provide a global, and dynamic vision of the technical risk for your IT. The dream functionality for Fitzhì should be the ONE single dashboard, one Single Point Point Of Quality, available for the CTO, or CIO, and ready to resume in one second, one view, the current situation and the historic trend.