Helper functions with CMake
Project description
CMake Utils
CMake is a powerful and easy to use build system for a wide variety of languages including:
- C / C++
- modern object-oriented Fortran 2008 / 2018
- Python
- pMatlab / GNU Octave](https://github.com/scivision/matlab-cmake-mex)
It's important to use a recent CMake version to be effective and clean with CMake script. This can be done via the Python package described below, or from CMake >= 2.8.12 by:
cmake -P install_cmake.cmake
if you need to compile CMake from source, for example on BSD or ARM 32-bit using existing CMake >= 3.13:
cmake -P build_cmake.cmake
Install
pip install cmakeutils
or
git clone https://github.com/scivision/cmakeutils
pip install -e cmakeutils
convert CMake hierarchy .dot to SVG or PNG
CMake plots dependency graphs for programs like:
cmake -B build --graphviz=gfx/block.dot
Then convert to PNG or SVG like:
python -m cmakeutils.graph ~/myprog/gfx
Install CMake binary
python -m cmakeutils.cmake_setup
takes only a minute to install binary and includes cmake-gui.
It works for Linux, MacOS, native Windows and Windows Subsystem for Linux.
Ninja is recommended in general for use with CMake on Windows, Mac and Linux:
python -m cmakeutils.ninja_setup
Build CMake
CMake can be builts from source using either:
- older version of CMake,
- without CMake using the "bootstrap" method
The bootstrap method is only for Unix-like systems, while the CMake-based build can also be used on Windows. Any platform for which Kitware doesn't distribute binaries use this script, including IBM Power and ARM.
python -m cmakeutils.cmake_compile
This downloads the latest CMake release source and builds from scratch.
Requirements:
- SSL library
- C++ compiler
- GNU Make or Ninja
Examples
- Download with git using FetchContent
- Download and extract ZIP
- measure system parameters with CMake. Note Cygwin reports really small RAM and zero virtual memory.
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