{ lib, stdenv , fetchzip , fetchFromGitHub , cmake , fftw , fftwFloat , enablePython ? false , pythonPackages ? null , llvmPackages }: let # CMake recipes are needed to build galario # Build process would usually download them great-cmake-cookoff = fetchzip { url = "https://github.com/UCL/GreatCMakeCookOff/archive/v2.1.9.tar.gz"; sha256 = "1yd53b5gx38g6f44jmjk4lc4igs3p25z6616hfb7aq79ly01q0w2"; }; in stdenv.mkDerivation rec { pname = "galario"; version = "1.2.2"; src = fetchFromGitHub { owner = "mtazzari"; repo = pname; rev = "v${version}"; sha256 = "0dw88ga50x3jwyfgcarn4azlhiarggvdg262hilm7rbrvlpyvha0"; }; nativeBuildInputs = [ cmake ]; buildInputs = [ fftw fftwFloat ] ++ lib.optional enablePython pythonPackages.python ++ lib.optional stdenv.isDarwin llvmPackages.openmp ; propagatedBuildInputs = lib.optional enablePython [ pythonPackages.numpy pythonPackages.cython pythonPackages.pytest ]; checkInputs = lib.optional enablePython [ pythonPackages.scipy pythonPackages.pytest-cov ]; preConfigure = '' mkdir -p build/external/src cp -r ${great-cmake-cookoff} build/external/src/GreatCMakeCookOff chmod -R 777 build/external/src/GreatCMakeCookOff ''; preCheck = '' ${if stdenv.isDarwin then "export DYLD_LIBRARY_PATH=$(pwd)/src/" else "export LD_LIBRARY_PATH=$(pwd)/src/"} ${if enablePython then "sed -i -e 's|^#!.*|#!${stdenv.shell}|' python/py.test.sh" else ""} ''; cmakeFlags = lib.optionals enablePython [ # RPATH of binary /nix/store/.../lib/python3.10/site-packages/galario/double/libcommon.so contains a forbidden reference to /build/ "-DCMAKE_SKIP_BUILD_RPATH=ON" ]; doCheck = true; postInstall = lib.optionalString (stdenv.isDarwin && enablePython) '' install_name_tool -change libgalario.dylib $out/lib/libgalario.dylib $out/lib/python*/site-packages/galario/double/libcommon.so install_name_tool -change libgalario_single.dylib $out/lib/libgalario_single.dylib $out/lib/python*/site-packages/galario/single/libcommon.so ''; meta = with lib; { description = "GPU Accelerated Library for Analysing Radio Interferometer Observations"; longDescription = '' Galario is a library that exploits the computing power of modern graphic cards (GPUs) to accelerate the comparison of model predictions to radio interferometer observations. Namely, it speeds up the computation of the synthetic visibilities given a model image (or an axisymmetric brightness profile) and their comparison to the observations. ''; homepage = "https://mtazzari.github.io/galario/"; license = licenses.lgpl3; maintainers = [ maintainers.smaret ]; platforms = platforms.all; }; }