ConceptCore/README.md

🏛️ ConceptCore

C++ library for manipulating concepts in formal language of advanced set theory

🌲 Structure

• ccl - ConceptCoreLibrary static C++ library
• coredll - ConceptCoreDLL binary for Windows embedding
• pyconcept - Python wrapper for some core RSLanguage and parsing functions

📦 Project build

Use Dockerfile to setup Clang / GCC build for Ubuntu development. Use VS Solution for Windows development. Use ccl/CMakeLists.txt for other platforms.

Windows development requires Bison installed and Visual Studio 2022+. After changing grammar / syntax you can rebuild lexers and parser using scripts in 'scripts' folder.

If you want to only build pyconcept:

• Build CCL-Full.sln in Release mode.
• Make sure you have Python installed and executable path is present in environment variables.
• Run pyconcept\script\Build.ps1. Answer 'A' if execution policy prompts for input
• pyconcept wheel will be deposited in output\py folder

💝 Acknowledgements

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.

• Re-flex provides clear way to generate lexical analyzers for ASCII and Unicode syntax variations
• Bison is used to generate language parser
• nlohmann-json is embedded as C++ JSON parser for conceptual schema persistence and high level JSON strings API
• Clang-tidy along with Visual Studio analyzer are used for C++ static code analysis
• pybind11 is used to generate Python module wrapper for C++ integration
• CMake provides C++ projects build toolchain
• conan and NuGet are used to manage package dependencies
• Docker container is used to provide consistent build environment for Linux builds
• Microsoft Visual Studio 2022 and Visual Studio Code are used as IDE's and build environments for Windows builds