{ lib , stdenv , fetchurl , autoreconfHook , boost , gfortran , lhapdf , ncurses , python ? null , swig , yoda , zlib , withPython ? false }: stdenv.mkDerivation rec { pname = "fastnlo_toolkit"; version = "2.3.1pre-2411"; src = fetchurl { urls = [ "https://fastnlo.hepforge.org/code/v23/${pname}-${version}.tar.gz" "https://sid.ethz.ch/debian/fastnlo/${pname}-${version}.tar.gz" ]; sha256 = "0fm9k732pmi3prbicj2yaq815nmcjll95fagjqzf542ng3swpqnb"; }; nativeBuildInputs = lib.optional withPython autoreconfHook; buildInputs = [ boost gfortran gfortran.cc.lib lhapdf yoda ] ++ lib.optional withPython python ++ lib.optional (withPython && python.isPy3k) ncurses; propagatedBuildInputs = [ zlib ] ++ lib.optional withPython swig; preConfigure = '' substituteInPlace ./fastnlotoolkit/Makefile.in \ --replace "-fext-numeric-literals" "" ''; configureFlags = [ "--with-yoda=${yoda}" ] ++ lib.optional withPython "--enable-pyext"; enableParallelBuilding = true; meta = with lib; { homepage = "http://fastnlo.hepforge.org"; description = "Fast pQCD calculations for hadron-induced processes"; longDescription = '' The fastNLO project provides computer code to create and evaluate fast interpolation tables of pre-computed coefficients in perturbation theory for observables in hadron-induced processes. This allows fast theory predictions of these observables for arbitrary parton distribution functions (of regular shape), renormalization or factorization scale choices, and/or values of alpha_s(Mz) as e.g. needed in PDF fits or in systematic studies. Very time consuming complete recalculations are thus avoided. ''; license = licenses.gpl3Plus; maintainers = with maintainers; [ veprbl ]; platforms = platforms.unix; }; }