depot/third_party/nixpkgs/pkgs/tools/misc/plfit/default.nix
Default email bb584b27e9 Project import generated by Copybara.
GitOrigin-RevId: 5181d5945eda382ff6a9ca3e072ed6ea9b547fee
2022-04-15 03:41:22 +02:00

54 lines
1.1 KiB
Nix

{ lib
, stdenv
, fetchFromGitHub
, fetchpatch
, cmake
, python ? null
, swig
, llvmPackages
}:
stdenv.mkDerivation rec {
pname = "plfit";
version = "0.9.3";
src = fetchFromGitHub {
owner = "ntamas";
repo = "plfit";
rev = version;
hash = "sha256-y4n6AlGtuuUuA+33oF7lGOYuKSqea4GMSJlv9PaSpQ8=";
};
patches = [
# https://github.com/ntamas/plfit/pull/41
(fetchpatch {
name = "use-cmake-install-full-dir.patch";
url = "https://github.com/ntamas/plfit/commit/d0e77c80e6e899298240e6be465cf580603f6ee2.patch";
hash = "sha256-wi3qCp6ZQtrKuM7XDA6xCXunCiqsyhnkxmg2eSmxjYM=";
})
];
nativeBuildInputs = [
cmake
] ++ lib.optionals (!isNull python) [
python
swig
];
cmakeFlags = [
"-DPLFIT_USE_OPENMP=ON"
] ++ lib.optionals (!isNull python) [
"-DPLFIT_COMPILE_PYTHON_MODULE=ON"
];
buildInputs = lib.optionals stdenv.cc.isClang [
llvmPackages.openmp
];
meta = with lib; {
description = "Fitting power-law distributions to empirical data";
homepage = "https://github.com/ntamas/plfit";
license = licenses.gpl2Plus;
maintainers = with maintainers; [ dotlambda ];
};
}