81 lines
2.3 KiB
Nix
81 lines
2.3 KiB
Nix
{ stdenv
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, lib
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, fetchFromGitHub
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, fetchpatch
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, cmake
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, pkg-config
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, gfortran
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, texinfo
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, python3
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, boost
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# Select SIMD alignment width (in bytes) for vectorization.
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, simdWidth ? 1
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# Pad arrays to simdWidth by default?
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# Note: Only useful if simdWidth > 1
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, enablePadding ? false
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# Activate serialization through Boost.Serialize?
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, enableSerialization ? true
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# Activate test-suite?
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# WARNING: Some of the tests require up to 1700MB of memory to compile.
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, doCheck ? true
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}:
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let
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inherit (lib) optional optionals;
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in
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stdenv.mkDerivation rec {
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pname = "blitz++";
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version = "1.0.2";
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src = fetchFromGitHub {
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owner = "blitzpp";
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repo = "blitz";
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rev = version;
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hash = "sha256-wZDg+4lCd9iHvxuQQE/qs58NorkxZ0+mf+8PKQ57CDE=";
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};
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patches = [
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# https://github.com/blitzpp/blitz/pull/180
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(fetchpatch {
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name = "use-cmake-install-full-dir.patch";
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url = "https://github.com/blitzpp/blitz/commit/020f1d768c7fa3265cec244dc28f3dc8572719c5.patch";
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hash = "sha256-8hYFNyWrejjIWPN/HzIOphD4Aq6Soe0FFUBmwV4tpWQ=";
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})
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];
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nativeBuildInputs = [
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cmake
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pkg-config
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python3
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texinfo
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];
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buildInputs = [ gfortran texinfo boost ];
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cmakeFlags = optional enablePadding "-DARRAY_LENGTH_PADDING=ON"
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++ optional enableSerialization "-DENABLE_SERIALISATION=ON"
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++ optional stdenv.hostPlatform.is64bit "-DBZ_FULLY64BIT=ON";
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# FIXME ++ optional doCheck "-DBUILD_TESTING=ON";
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# skip broken library name detection
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ax_boost_user_serialization_lib = lib.optionalString stdenv.hostPlatform.isDarwin "boost_serialization";
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enableParallelBuilding = true;
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inherit doCheck;
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meta = with lib; {
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description = "Fast multi-dimensional array library for C++";
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homepage = "https://sourceforge.net/projects/blitz/";
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license = with licenses; [ artistic2 /* or */ bsd3 /* or */ lgpl3Plus ];
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platforms = platforms.unix;
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maintainers = with maintainers; [ ToxicFrog ];
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longDescription = ''
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Blitz++ is a C++ class library for scientific computing which provides
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performance on par with Fortran 77/90. It uses template techniques to
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achieve high performance. Blitz++ provides dense arrays and vectors,
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random number generators, and small vectors (useful for representing
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multicomponent or vector fields).
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'';
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};
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}
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