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The Java Data Objects 2.0 (JDO) API is a standard interface-based Java model abstraction of persistence, developed as Java Specification Request JSR 243 under the auspices of the Java Community Process. The JDO TCK is a test suite designed to test implementations of the Java Data Objects specification. In order to claim compatibility with JDO, an implementation must pass all relevant tests of the JDOTCK. NOTE!! There are no unit tests in this project.

The ONNX Runtime Mobile package is a size optimized inference library for executing ONNX (Open Neural Network Exchange) models on Android. This package is built from the open source inference engine but with reduced disk footprint targeting mobile platforms. To minimize binary size this library supports a reduced set of operators and types aligned to typical mobile applications. The ONNX model must be converted to ORT format in order to use it with this package. See https://onnxruntime.ai/docs/reference/ort-format-models.html for more details.

In brewing, a fermenter is a vessel in which unfinished ingredients become nearly finished beer. In Model Driven Architecture, Fermenter is a project that converts functional concepts into nearly finished applications. This approach allows for the quick definition and assembly of applications with the focus on functional concepts rather than technical underpinnings. Fermenter is an MDA engine that allows common concepts to be modeled and spawn any number of generated source files. In turn, this allows developers to focus more time on business logic, less time on technical underpinnings, and achieve extremely high levels of architectural conformity.

Wicket is a Java web application framework that takes simplicity, separation of concerns and ease of development to a whole new level. Wicket pages can be mocked up, previewed and later revised using standard WYSIWYG HTML design tools. Dynamic content processing and form handling is all handled in Java code using a first-class component model backed by POJO data beans that can easily be persisted using your favorite technology.

The goal of this project is to connect architecture documentation and models while identifying missing or deviating elements (inconsistencies). An element can be any representable item of the model, like a component or a relation. To do so, we first create trace links and then make use of them and other information to identify inconsistencies. ArDoCo is actively developed by researchers of the Modelling for Continuous Software Engineering (MCSE) group of KASTEL - Institute of Information Security and Dependability at the KIT.

EnOS Device And Asset API pojo 0.2.14-SNAPSHOT ota api pojo and event 0.2.20-SNAPSHOT The Response objects returned by GetEvent and SearchEvent queries are added (including: outputData, eventName, outputNames fields) 0.2.21-SNAPSHOT Increase the internationalization of the four-element description field of the model 0.2.22-SNAPSHOT add some pojo class for private api 0.2.23-SNAPSHOT model-service open api的接口中thingModel增加category模型类型字段 0.2.24-SNAPSHOT 部分search接口增加realTime字段 0.2.25-SNAPSHOT firmware add tag function 0.2.27-SNAPSHOT add max and min fields 0.2.28-SNAPSHOT asset tree api for amc/city infra 0.2.29-SNAPSHOT fix thingModel enableMeasurepointValidate 0.2.30-SNAPSHOT enhancement of search model and update asset and alert engine 增加告警规则sdk 0.2.31-SNAPSHOT move asset node 2.4.0-SNAPSHOT upgrade to 2.4 for support DCM 2.4GA 2.4.1-SNAPSHOT service parameter supports "Required" and "Default Value" fields 2.4.2-SNAPSHOT upgrade to 2.4 for support DCM 2.4GA jar 升级 2.4.3-SNAPSHOT add alert-engine v2.5 alertRule openAPI