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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 project is a library for any POJO class to implement a toString method. Given a class name and instance, the project will use reflection from Java API to get the getter methods for the given instance and execute it to print the methodName = methodValue in an appended string with comma separated values. This is very generic implementation so anybody can use this code to write their toString implementation. The idea is to avoid implementing toString by writing your own implementation every time. Please put your thoughts on the implementation so we can evolve as a project which will help every Java Developer.

This library allows your Java program to interface very easily with the Python world. It uses the Pyro protocol to call methods on remote objects. (See https://pyro5.readthedocs.io/). Pyrolite only implements part of the client side Pyro library, hence its name 'lite'... So if you don't need Pyro's full feature set, Pyrolite may be a good choice to connect java or .NET and python. Version 5.0 changes: support Pyro5 wire protocol. Dropped support of Pyro4 (stick to version 4.xx for that).

The Systems Biology Simulation Core Library provides an efficient and exhaustive Java™ implementation of methods to interpret the content of models encoded in the Systems Biology Markup Language (SBML) and its numerical solution. This library is based on the JSBML project. It can be used on every operating system for which a Java Virtual Machine is available. Version 2.0 and beyond support simulation in three frameworks: constraint-based analysis, stochastic simulation, and ordinary differential equation systems. SBSCL supports SED-ML and COMBINE archives in OMEX format.

Suji is a converter library from Japanese number notation to numerical value, and from numerical notation to Japanese Kansuji notation. Converter.values(src) to convert from Japanese number notation to numerical value: Japanese number notation can include Kansuji. The String "１つの価格が二兆30万五千十7円になります。" will be converted to two BigDecimal, 1 and 2000000005017. And also, 打率は三割二部五厘です。 will be a 0.325. The return value is a list of Suji Numeral objects. If the input string has no number notation, Suji returns a empty list. The Numeral object has three methods: value(), begin(), and end(): value(): a BigDecimal instance of a numerical value for the number notation. begin(): the begin index (int) of the found number notation at the input string. end(): the end index (int) of the found number notation. Converter.kansujis(src) to convert from numeric notation to Japanese Kansuji notation: The String 20兆30万五千十7円になります。 will be converted to the Kansuji string, 二十兆三十万五千十七. The boolean flag one is interpreted as whether to display the first character 一 or not. The output of Converter.kansujis('1000万', true) will be converted to 一千万, and the output of Converter.kansujis('1000万', false) will be converted to 千万. Note that kansujis does not support numerical notation after the decimal point. If the input string is 32.01, the output will 三十二, not 三十二割一厘. The return value is a list of Kansuji objects. If the input string has no number notation, Suji returns a empty list. The Kansuji object has three methods: value(), begin(), and end(): value(): a String instance of a Kansuji notation. begin(): the begin index (int) of the found number notation at the input string. end(): the end index (int) of the found number notation. Suji is a one-pass parser. That is, Suji parse a source text from the head to the end only once.

JAXB 2.1.x XJC Boolean-Getter Plugin This plugin causes getter methods for Boolean Objects to be called "getXX" instead of "isXX". Downloaded from http://fisheye5.atlassian.com/browse/~raw,r=1.1/jaxb2-commons/www/boolean-getter/index.html on 18/03/10 Yiannis Paschalidis Sanity4J was created to simplify running multiple static code analysis tools on the Java projects. It provides a single entry point to run all the selected tools and produce a consolidated report, which presents all findings in an easily accessible manner.

The RestFixture is a FitNesse (http://fitnesse.org) fixture that allows developers and/or product owners to write test fixtures for REST services with simplicity in mind. The idea is to write tests that are self documenting and easy to write and read, without the need to write Java code. The fixture allows test writers to express tests as actions (any of the allowed HTTP methods) to operate on resource URIs and express expectations on the content of the return code, headers and body. All without writing one single line of Java code. And it also works as a living/executable documentation of the API.

PowerMock allows you to unit test code normally regarded as untestable. For instance it is possible to mock static methods, remove static initializers, allow mocking without dependency injection and more. PowerMock works by bytecode manipulation. PowerMock also contain some utilities that gives you easier access to an objects internal state. PowerMock can be used to test otherwise untestable code and also to achieve a cleaner separation between test and production code.

ELKI is an open source (AGPLv3) data mining software written in Java. The focus of ELKI is research in algorithms, with an emphasis on unsupervised methods in cluster analysis and outlier detection. In order to achieve high performance and scalability, ELKI offers many data index structures such as the R*-tree that can provide major performance gains. ELKI is designed to be easy to extend for researchers and students in this domain, and welcomes contributions in particular of new methods. ELKI aims at providing a large collection of highly parameterizable algorithms, in order to allow easy and fair evaluation and benchmarking of algorithms.