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