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https://github.com/NixOS/nixpkgs.git
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d5cceedbd1
Since aliases are disallowed in nixpkgs, this makes usage of Python 2 which is EOL more explicit.
79 lines
2.2 KiB
Nix
79 lines
2.2 KiB
Nix
{ stdenv
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, lib
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, fetchFromGitHub
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, pkg-config
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, gfortran
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, texinfo
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, python2
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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 = "1.0.1";
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src = fetchFromGitHub {
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owner = "blitzpp";
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repo = "blitz";
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rev = "1.0.1";
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sha256 = "0nq84vwvvbq7m0my6h835ijfw53bxdp42qjc6kjhk436888qy9rh";
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};
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nativeBuildInputs = [ pkg-config python2 texinfo ];
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buildInputs = [ gfortran texinfo boost ];
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configureFlags =
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[
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"--enable-shared"
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"--disable-static"
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"--enable-fortran"
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"--enable-optimize"
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"--with-pic=yes"
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"--enable-html-docs"
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"--disable-doxygen"
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"--disable-dot"
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"--disable-latex-docs"
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"--enable-simd-width=${toString simdWidth}"
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"--with-boost=${boost.dev}"
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"--with-boost-libdir=${boost.out}/lib"
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] ++ optional enablePadding "--enable-array-length-padding"
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++ optional enableSerialization "--enable-serialization"
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++ optional stdenv.is64bit "--enable-64bit";
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# skip broken library name detection
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ax_boost_user_serialization_lib = lib.optionalString stdenv.isDarwin "boost_serialization";
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enableParallelBuilding = true;
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inherit doCheck;
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checkTarget = "check-testsuite check-examples";
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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 = licenses.lgpl3;
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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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