mirror of
https://github.com/IRBorisov/ConceptCore.git
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40 lines
2.1 KiB
Markdown
40 lines
2.1 KiB
Markdown
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# 🏛️ ConceptCore
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C++ library for manipulating concepts in formal language of advanced set theory
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## 🌲 Structure
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- ccl - ConceptCoreLibrary static C++ library
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- coredll - ConceptCoreDLL binary for Windows embedding
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- pyconcept - Python wrapper for some core RSLanguage and parsing functions
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## 📦 Project build
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Use Dockerfile to setup Clang / GCC build for Ubuntu development.
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Use VS Solution for Windows development.
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Use ccl/CMakeLists.txt for other platforms.
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Windows development requires Bison installed and Visual Studio 2022+.
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After changing grammar / syntax you can rebuild lexers and parser using scripts in 'scripts' folder.
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If you want to only build pyconcept:
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- Build CCL-Full.sln in Release mode.
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- Make sure you have Python installed and executable path is present in environment variables.
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- Run pyconcept\script\Build.ps1. Answer 'A' if execution policy prompts for input
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- pyconcept wheel will be deposited in output\py folder
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## 💝 Acknowledgements
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This project is based on multiple projects and works listed below. If you notice any problems with licensing or missing acknowledgements please inform repository maintainer.
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- [Re-flex](https://github.com/Genivia/RE-flex) provides clear way to generate lexical analyzers for ASCII and Unicode syntax variations
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- [Bison](https://www.gnu.org/software/bison/) is used to generate language parser
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- [nlohmann-json](https://github.com/nlohmann/json) is embedded as C++ JSON parser for conceptual schema persistence and high level JSON strings API
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- [Clang-tidy](https://clang.llvm.org/extra/clang-tidy/) along with Visual Studio analyzer are used for C++ static code analysis
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- [pybind11](https://github.com/pybind/pybind11) is used to generate Python module wrapper for C++ integration
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- [CMake](https://cmake.org/) provides C++ projects build toolchain
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- [conan](https://conan.io/) and NuGet are used to manage package dependencies
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- Docker container is used to provide consistent build environment for Linux builds
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- Microsoft Visual Studio 2022 and Visual Studio Code are used as IDE's and build environments for Windows builds
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