Search Results for "test case generation"

Scala macros for compile-time generation of safe and ultra-fast JSON codecs. This library had started from macros that reused jsoniter (json-iterator) for Java reader and writer but then the library evolved to have its own core of mechanics for parsing and serialization. The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. Validate parsed values safely with the fail-fast approach and clear reporting, provide...

ResponseBuilder is a Laravel package, designed to help you build nice, normalized, and easy-to-consume REST API JSON responses. ResponseBuilder is written for REST API developers by REST API developers and is based on long-lasting experience on both "sides" of API. It's lightweight, with no dependencies, extensively tested, and simple to use yet flexible and powerful, with support for on-the-fly data conversion, localization support, automatic message building, chained APIs, and (hopefully)...

...You just need to send your case classes as metrics for fluentd.

This is the repo for the downloadable version of generatedata.com. The script is essentially an engine to generate any sort of random data in any format. It currently comes with 30 or so Data Types (types of data it generates), 12 Export Types (formats for the data, like CSV, SQL, JSON), plus around 32 data sets for specific countries (city names, regions, etc). But more importantly, it can be extended in any way you want. Check out the developer documentation for more information on that....

The gSOAP toolkit is an extensive suite of portable C and C++ software to develop XML Web services with powerful type-safe XML data bindings. Easy-to-use code-generator tools allow you to directly integrate XML data in C and C++. Serializes native application data in XML. Includes WSDL/XSD schema binding and auto-coding tools, stub/skeleton compiler, Web server integration with Apache module and IIS extension, high-performance XML processing with schema validation, fast MIME/MTOM streaming,...

flatcc has no external dependencies except for build and compiler tools, and the C runtime library. With concurrent Ninja builds, a small client project can build flatcc with libraries, generate schema code, link the project and execute a test case in a few seconds, produce binaries between 15K and 60K, read small buffers in 30ns, build FlatBuffers in about 600ns, and with a larger executable also handle optional json parsing or printing in less than 2 us for a 10 field mixed type message. The JSON parser may change the interface for parsing union vectors in a future release which requires code generation to match library versions. ...

...It evaluates both conformance and performance, which helps avoid treating speed as meaningful when a library does not parse or generate JSON correctly. The benchmark measures areas such as parsing speed, generation speed, memory use, and code size across many open-source libraries. It includes test data and JSON standard checks so implementations can be compared under more consistent conditions. The project is useful for library authors, C++ developers, and performance-focused engineers choosing a JSON implementation. Its main value is providing a transparent reference point for understanding tradeoffs among native JSON libraries.