5e9e1146e1
GitOrigin-RevId: 18036c0be90f4e308ae3ebcab0e14aae0336fe42
66 lines
1.4 KiB
Nix
66 lines
1.4 KiB
Nix
{ lib
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, stdenv
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, fetchFromGitHub
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, cmake
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, python3
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}:
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let
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python = python3.withPackages(ps: with ps; [
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numpy
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]);
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in
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stdenv.mkDerivation (finalAttrs: {
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pname = "hnswlib";
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version = "0.7.0";
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src = fetchFromGitHub {
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owner = "nmslib";
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repo = "hnswlib";
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rev = "refs/tags/v${finalAttrs.version}";
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hash = "sha256-XXz0NIQ5dCGwcX2HtbK5NFTalP0TjLO6ll6TmH3oflI=";
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};
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# this is a header-only library, so we don't need to build it
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# we need `cmake` only to run tests
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nativeBuildInputs = lib.optionals finalAttrs.doCheck [
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cmake
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python
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];
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# we only want to run buildPhase when we run tests
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dontBuild = !finalAttrs.doCheck;
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installPhase = ''
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runHook preInstall
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install -Dm644 $src/hnswlib/*.h -t $out/include/hnswlib
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runHook postInstall
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'';
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doCheck = true;
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preCheck = ''
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pushd ../tests/cpp
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${python.interpreter} update_gen_data.py
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popd
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'';
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checkPhase = ''
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runHook preCheck
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./test_updates
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runHook postCheck
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'';
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meta = with lib; {
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description = "Header-only C++/python library for fast approximate nearest neighbors";
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homepage = "https://github.com/nmslib/hnswlib";
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changelog = "https://github.com/nmslib/hnswlib/releases/tag/${finalAttrs.src.rev}";
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license = licenses.asl20;
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maintainers = with maintainers; [ natsukium ];
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platforms = platforms.unix;
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};
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})
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