{ lib , stdenv , fetchFromGitHub , readline , xorg , mpi , cmake , bison , flex , git , perl , gsl , xcbuild , python3 , useMpi ? false , useIv ? true , useCore ? false , useRx3d ? false }: let inherit (lib.lists) optionals; inherit (lib.strings) cmakeBool; in stdenv.mkDerivation (finalAttrs: { pname = "neuron"; version = "8.2.4"; # format is for pythonModule conversion format = "other"; nativeBuildInputs = [ cmake bison flex git ] ++ optionals useCore [ perl gsl ] ++ optionals stdenv.isDarwin [ xcbuild ]; buildInputs = optionals useIv [ xorg.libX11.dev xorg.libXcomposite.dev xorg.libXext.dev ]; propagatedBuildInputs = [ readline python3 python3.pkgs.wheel python3.pkgs.setuptools python3.pkgs.scikit-build python3.pkgs.matplotlib ] ++ optionals useMpi [ mpi ] ++ optionals useMpi [ python3.pkgs.mpi4py ] ++ optionals useRx3d [ python3.pkgs.cython_0 # NOTE: cython<3 is required as of 8.2.4 python3.pkgs.numpy ]; # Patch build shells for cmake (bin, src, cmake) and submodules (external) postPatch = '' patchShebangs ./bin ./src ./external ./cmake substituteInPlace external/coreneuron/extra/nrnivmodl_core_makefile.in \ --replace-fail \ "DESTDIR =" \ "DESTDIR = $out" ''; cmakeFlags = [ (cmakeBool "NRN_ENABLE_INTERVIEWS" useIv) (cmakeBool "NRN_ENABLE_MPI" useMpi) (cmakeBool "NRN_ENABLE_CORENEURON" useCore) (cmakeBool "NRN_ENABLE_RX3D" useRx3d) ]; postInstall = '' mkdir -p $out/${python3.sitePackages} mv $out/lib/python/* $out/${python3.sitePackages}/ rm -rf $out/lib/python build for entry in $out/lib/*.so; do # remove references to build patchelf --set-rpath $(patchelf --print-rpath $entry | tr ':' '\n' | sed '/^\/build/d' | tr '\n' ':') $entry done ''; src = fetchFromGitHub { owner = "neuronsimulator"; repo = "nrn"; rev = finalAttrs.version; fetchSubmodules = true; hash = "sha256-KsULc+LHoWmrkGYebpoUot6DhStKidbLQf5a3S+pi4s="; }; meta = with lib; { description = "Simulation environment for empirically-based simulations of neurons and networks of neurons"; longDescription = '' NEURON is a simulation environment for developing and exercising models of neurons and networks of neurons. It is particularly well-suited to problems where cable properties of cells play an important role, possibly including extracellular potential close to the membrane), and where cell membrane properties are complex, involving many ion-specific channels, ion accumulation, and second messengers ''; sourceProvenance = with sourceTypes; [ fromSource ]; license = licenses.bsd3; homepage = "http://www.neuron.yale.edu/neuron"; maintainers = with maintainers; [ adev davidcromp ]; platforms = platforms.all; }; })