1 files changed, 48 insertions, 0 deletions
diff --git a/nixpkgs/pkgs/development/libraries/nanoflann/default.nix b/nixpkgs/pkgs/development/libraries/nanoflann/default.nix
new file mode 100644
index 000000000000..a9fb463e707a
--- /dev/null
+++ b/nixpkgs/pkgs/development/libraries/nanoflann/default.nix
@@ -0,0 +1,48 @@
+{ lib
+, stdenv
+, fetchFromGitHub
+, cmake
+, buildExamples ? false
+}:
+
+stdenv.mkDerivation (finalAttrs: {
+  version = "1.5.1";
+  pname = "nanoflann";
+
+  src = fetchFromGitHub {
+    owner = "jlblancoc";
+    repo = "nanoflann";
+    rev = "v${finalAttrs.version}";
+    hash = "sha256-ozFYqEq6PSe1C6Lc13Szxt8+sUTTlbXrmMgb8cvX04I=";
+  };
+
+  nativeBuildInputs = [ cmake ];
+
+  cmakeFlags = [
+    "-DBUILD_EXAMPLES=${if buildExamples then "ON" else "OFF"}"
+  ];
+
+  doCheck = true;
+  checkTarget = "test";
+
+  meta = {
+    homepage = "https://github.com/jlblancoc/nanoflann";
+    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;
+  };
+})