GPRat/pyproject.toml at main · SC-SGS/GPRat · GitHub

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[build-system]
requires = ["scikit-build-core"]
build-backend = "scikit_build_core.build"
# set the necessary CMake build options
[tool.scikit-build]
cmake.args = [
	"--preset release-linux",
	"-G Unix Makefiles",
        "-DGPRAT_BUILD_BINDINGS=ON",
	"-DGPRAT_ENABLE_MKL=OFF",
	"-DGPRAT_WITH_CUDA=OFF",
        "-DGPRAT_APEX_STEPS=OFF",
        "-DGPRAT_APEX_CHOLESKY=OFF",
	"-DGPRAT_ENABLE_FORMAT_TARGETS=OFF",
   	"-DCMAKE_INSTALL_LIBDIR=gprat",
    	"-DCMAKE_INSTALL_BINDIR=gprat",
   	"-DCMAKE_INSTALL_INCLUDEDIR=gprat",
   	"-DCMAKE_INSTALL_MANDIR=gprat",
    	"-DCMAKE_INSTALL_DATAROOTDIR=gprat/cmake",
    	"-DCMAKE_INSTALL_RPATH=$ORIGIN"]
sdist.exclude = ["build*/", "dist/", "docs/html/", ".github", "examples", "install", "tests", ".clang*", ".gitignore"]
# project specific metadata
[project]
name = "gprat"
version = "0.3.0"
description = "GPRat - Gaussian Process Regression using Asynchronous Tasks"
readme = "README.md"
license = { file = "LICENSE" }
authors = [
    { name = "Alexander Strack, Maksim Helmann, Henrik Moellmann, Tim Niederhausen" }
]
maintainers = [
    { name = "University of Stuttgart IPVS - SC", email = "sc@ipvs.uni-stuttgart.de" }
]
requires-python = ">=3.8"
classifiers = [
    "Development Status :: 3 - Alpha",
    "Environment :: CPU",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Natural Language :: English",
    "Operating System :: POSIX :: Linux",
    "Programming Language :: C++",
    "Programming Language :: Python :: 3",
    "Topic :: Scientific/Engineering :: Artificial Intelligence"
]
# project specific URLs
[project.urls]
homepage = ""
documentation = ""
repository = "https://github.com/SC-SGS/GPRat.git"
issues = ""