nanoflann: refactor

Also add myself as maintainer.
This commit is contained in:
Anderson Torres 2023-06-25 16:59:57 -03:00
parent 4b2582a5ba
commit cbe6b9ecc9

View File

@ -1,20 +1,25 @@
{lib, stdenv, fetchFromGitHub, cmake}:
{ lib
, stdenv
, fetchFromGitHub
, cmake
, buildExamples ? false
}:
stdenv.mkDerivation rec {
stdenv.mkDerivation (finalAttrs: {
version = "1.5.0";
pname = "nanoflann";
src = fetchFromGitHub {
owner = "jlblancoc";
repo = "nanoflann";
rev = "v${version}";
sha256 = "sha256-vPLL6l4sFRi7nvIfdMbBn/gvQ1+1lQHlZbR/2ok0Iw8=";
rev = "v${finalAttrs.version}";
hash = "sha256-vPLL6l4sFRi7nvIfdMbBn/gvQ1+1lQHlZbR/2ok0Iw8=";
};
nativeBuildInputs = [ cmake ];
cmakeFlags = [
"-DBUILD_EXAMPLES=OFF"
"-DBUILD_EXAMPLES=${if buildExamples then "ON" else "OFF"}"
];
doCheck = true;
@ -22,8 +27,22 @@ stdenv.mkDerivation rec {
meta = {
homepage = "https://github.com/jlblancoc/nanoflann";
license = lib.licenses.bsd2;
description = "Header only C++ library for approximate nearest neighbor search";
longDescription = ''
nanoflann is a C++11 header-only library for building KD-Trees of datasets
with different topologies: R2, R3 (point clouds), SO(2) and SO(3) (2D and
3D rotation groups). No support for approximate NN is provided. nanoflann
does not require compiling or installing. You just need to #include
<nanoflann.hpp> in your code.
This library is a fork of the flann library by Marius Muja and David
G. Lowe, and born as a child project of MRPT. Following the original
license terms, nanoflann is distributed under the BSD license. Please, for
bugs use the issues button or fork and open a pull request.
'';
changelog = "https://github.com/jlblancoc/nanoflann/blob/v${finalAttrs.version}/CHANGELOG.md";
license = lib.licenses.bsd2;
maintainers = [ lib.maintainers.AndersonTorres ];
platforms = lib.platforms.unix;
};
}
})