缩放整合 使用zoom.us服务创建和管理会议的Java代码。

调度程序组件 介绍 这是Home Assistant的自定义组件，用于根据时间控制现有设备。 它与配合使用时效果很好。 调度程序实体在特定时间定义一个动作，例如“每天21:00打开我的灯”。 HA中的任何实体都可以与HA中可用的任何服务一起用于创建调度程序实体。 安装 步骤1：下载档案 选项1：通过HACS 确保已安装HACS。 如果不这样做，请运行curl -sfSL https://hacs.xyz/install | bash - curl -sfSL https://hacs.xyz/install | bash -在HA中。 在“ HACS”下选择“集成”。 单击页面底部的“ +”按钮，搜索“ scheduler组件”，选择它，然后单击“在HACS中安装”。 选项2：手动 克隆此存储库或将源代码下载为zip文件，然后在配置目录中添加/合并custom_components/文

虚幻引擎4 Docker容器 •• 寻找开始的地方？ 请查看以获取有关在Docker容器内使用Unreal Engine的与实现无关的信息，然后前往以查看特定于使用ue4-docker项目的详细信息。 ue4-docker Python软件包包含一组Dockerfile和随附的构建基础结构，可用于为Epic Games的构建Docker映像。 这些图像还整合了 ， 和的基础，以促进各种用例。 主要功能包括： 支持虚幻引擎4.19.0及更高版本。 Windows容器和Linux容器均受支持。 支持构建和打包UE4项目。 支持运行自动化测试。 通过Linux下的NVIDIA Docker支持运行带有屏幕外渲染的已构建UE4项目。 资源： 文档： : GitHub存储库： : 在PyPI上打包： ://pypi.org/project/ue4-docker/ 相关文章： : 虚幻容器社区中心： ： 贡献 请参阅文件以获取有关如何为ue4-docker的开发做出贡献的指导原则。 法律 版权所有:copyright:2018-2019，Adam Rehn。 根据MI

在github上下载的C#与MATLAB/Simulink通过共享内存，传递信息用于前台控制Simulink和MATLAB的运行，Show C code integration and C code generation out of MATLAB and Simulink algorithms for a parking meter application

cas-client-integration-atlassian-3.3.3.jar 包 看好版本是不是自己需要的在下载

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Fundamentals of Inertial Navigation & GPS Integration

Django-jQuery-File-Uploader-Integration-demo-master.zip

Seamless R and C++ Integration The Rcpp package provides R functions and a C++ library facilitating the integration of R and C++. R data types (SEXP) are matched to C++ objects in a class hierarchy. All R types are supported (vectors, functions, environment, etc ...) and each type is mapped to a dedicated class. For example, numeric vectors are represented as instances of the Rcpp::NumericVector class, environments are represented as instances of Rcpp::Environment, functions are represented as Rcpp::Function, etc ... The Rcpp-introduction vignette (also published as a JSS paper) provides a good entry point to Rcpp as do the Rcpp website, the Rcpp page and the Rcpp Gallery. Full documentation is provided by the Rcpp book. Conversion from C++ to R and back is driven by the templates Rcpp::wrap and Rcpp::as which are highly flexible and extensible, as documented in the Rcpp-extending vignette. Rcpp also provides Rcpp modules, a framework that allows exposing C++ functions and classes to the R level. The Rcpp-modules vignette details the current set of features of Rcpp-modules. Rcpp includes a concept called Rcpp sugar that brings many R functions into C++. Sugar takes advantage of lazy evaluation and expression templates to achieve great performance while exposing a syntax that is much nicer to use than the equivalent low-level loop code. The Rcpp-sugar gives an overview of the feature. Rcpp attributes provide a high-level syntax for declaring C++ functions as callable from R and automatically generating the code required to invoke them. Attributes are intended to facilitate both interactive use of C++ within R sessions as well as to support R package development. Attributes are built on top of Rcpp modules and their implementation is based on previous work in the inline package. See the Rcpp-atttributes vignettes for more details. Documentation The package ships with nine pdf vignettes. Additional documentation is available via the JSS paper by Eddelbuettel an

Global.Positioning.Systems.Inertial.Navigation.and.Integration 国外经典著作