mirror of
https://github.com/NixOS/nixpkgs.git
synced 2026-09-30 11:50:06 +00:00
67 lines
1.9 KiB
Nix
67 lines
1.9 KiB
Nix
{
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lib,
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fetchFromGitHub,
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stdenv,
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autoreconfHook,
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gtest,
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memtailor,
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}:
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stdenv.mkDerivation (finalAttrs: {
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pname = "mathic";
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version = "1.4";
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src = fetchFromGitHub {
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owner = "Macaulay2";
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repo = "mathic";
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tag = "v${finalAttrs.version}";
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hash = "sha256-0/ws95MTrNXt6BhqyWjsOGyXvh2tTd48/pT6kWwQPd4=";
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};
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buildInputs = [
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memtailor
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];
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nativeBuildInputs = [
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autoreconfHook
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];
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checkInputs = [
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gtest
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];
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configureFlags = [
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(lib.withFeature finalAttrs.finalPackage.doCheck "gtest")
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];
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__structuredAttrs = true;
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strictDeps = true;
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enableParallelBuilding = true;
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doCheck = true;
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meta = {
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description = "C++ library of fast data structures designed for use in Groebner basis computation";
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longDescription = ''
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Mathic is a C++ library of fast data structures designed for use in
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Groebner basis computation. This includes data structures for ordering
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S-pairs, performing divisor queries and ordering polynomial terms during
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polynomial reduction. With Mathic you get to use highly optimized code
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with little effort so that you can focus more of your time on whatever
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part of your Groebner basis implementation that you are interested in.
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The data structures use templates to allow you to use them with whatever
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representation of monomials/terms and coefficients that your code uses.
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In fact the only places where Mathic defines its own monomials/terms is
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in the test code and example code. Currently only dense representations
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of terms/monomials are suitable since Mathic will frequently ask "what is
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the exponent of variable number x in this term/monomial?".
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'';
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homepage = "https://github.com/Macaulay2/mathic";
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license = lib.licenses.lgpl2Plus;
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maintainers = with lib.maintainers; [ coolcuber ];
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platforms = lib.platforms.unix;
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};
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})
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