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stdgpu: Efficient STL-like Data Structures on the GPU
Each source file (see https://github.com/stotko/stdgpu/tree/master/src/stdgpu) contains a copyright statement.
Each source file (see https://github.com/stotko/stdgpu/tree/master/src/stdgpu) contains a license statement.
Repository on GitHub, which uses git. git is distributed.
The code review process is described in the CONTRIBUTING file (https://github.com/stotko/stdgpu/blob/master/CONTRIBUTING.md).
The project is automatically build using Continuous integration tools, see https://github.com/stotko/stdgpu/actions.
The tests can be build using the same tools as for the project itself. The set provided convenience scripts helps to build and execute them but are not strictly required (see https://stotko.github.io/stdgpu/getting_started/building_from_source.html).
Continuous integration is used with GitHub Actions for Linux and Windows, see https://github.com/stotko/stdgpu/actions.
The code coverage is computed using LCOV and automatically tracked at https://codecov.io/gh/stotko/stdgpu. The code coverage exceeds the requirement of 90%.
The project does not use network communication.
The project does not use TLS.
The project is hosted on GitHub (https://github.com/stotko/stdgpu) which is known to meet this requirement.
The projects uses automatic code coverage tracking as a tool for dynamic analysis, see https://codecov.io/gh/stotko/stdgpu.
The projects defines pre- and post-conditions through assertions and makes extensive use of them.
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