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Merge pull request #144671 from andersk/LD_LIBRARY_PATH
treewide: Fix unsafe concatenation of $LD_LIBRARY_PATH, round 2
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commit
f140680724
@ -112,7 +112,7 @@ self: super:
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This overlay uses Intel's MKL library for both BLAS and LAPACK interfaces. Note that the same can be accomplished at runtime using `LD_LIBRARY_PATH` of `libblas.so.3` and `liblapack.so.3`. For instance:
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```ShellSession
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$ LD_LIBRARY_PATH=$(nix-build -A mkl)/lib:$LD_LIBRARY_PATH nix-shell -p octave --run octave
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$ LD_LIBRARY_PATH=$(nix-build -A mkl)/lib${LD_LIBRARY_PATH:+:}$LD_LIBRARY_PATH nix-shell -p octave --run octave
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```
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Intel MKL requires an `openmp` implementation when running with multiple processors. By default, `mkl` will use Intel's `iomp` implementation if no other is specified, but this is a runtime-only dependency and binary compatible with the LLVM implementation. To use that one instead, Intel recommends users set it with `LD_PRELOAD`. Note that `mkl` is only available on `x86_64-linux` and `x86_64-darwin`. Moreover, Hydra is not building and distributing pre-compiled binaries using it.
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@ -52,7 +52,7 @@ stdenv.mkDerivation rec {
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makeWrapper $out/lib/runtime/bin/java $out/bin/jabref \
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--add-flags '-Djava.library.path=${systemLibPaths}' --add-flags "-p $out/lib/app -m org.jabref/org.jabref.JabRefLauncher" \
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--run 'export LD_LIBRARY_PATH=${systemLibPaths}:$LD_LIBRARY_PATH'
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--prefix LD_LIBRARY_PATH : '${systemLibPaths}'
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cp -r ${desktopItem}/share/applications $out/share/
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@ -74,7 +74,7 @@ in stdenv.mkDerivation rec {
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'';
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preCheck = ''
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export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$PWD/lib
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export LD_LIBRARY_PATH=$LD_LIBRARY_PATH''${LD_LIBRARY_PATH:+:}$PWD/lib
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'';
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postInstall = ''
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@ -36,7 +36,7 @@ let
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'';
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doCheck = true;
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preCheck = "export LD_LIBRARY_PATH=$(pwd):$LD_LIBRARY_PATH";
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preCheck = "export LD_LIBRARY_PATH=$(pwd)\${LD_LIBRARY_PATH:+:}$LD_LIBRARY_PATH";
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meta = with lib; {
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description = "Very fast, header only, C++ logging library";
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@ -13,7 +13,7 @@ buildPythonPackage rec {
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# some functionality to work (inparticular, pybel).
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# see https://openbabel.org/docs/dev/Installation/install.html
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BABEL_LIBDIR = "${openbabel}/lib/openbabel/3.1.0";
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LD_LIBRARY_PATH = "$LD_LIBRARY_PATH:${openbabel}/lib";
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LD_LIBRARY_PATH = "${openbabel}/lib";
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doCheck = false;
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pythonImportsCheck = [ "openbabel" ];
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@ -1700,7 +1700,7 @@ self: super:
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if (!enableCuda) then ''
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export USE_CUDA=0
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'' else ''
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export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:${cudatoolkit}/targets/x86_64-linux/lib"
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export LD_LIBRARY_PATH="$LD_LIBRARY_PATH''${LD_LIBRARY_PATH:+:}${cudatoolkit}/targets/x86_64-linux/lib"
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'';
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preFixup = lib.optionalString (!enableCuda) ''
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# For some reason pytorch retains a reference to libcuda even if it
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@ -1739,9 +1739,9 @@ self: super:
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];
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preConfigure =
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if (enableCuda) then ''
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export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:${self.torch}/${self.python.sitePackages}/torch/lib:${lib.makeLibraryPath [ cudatoolkit "${cudatoolkit}" ]}"
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export LD_LIBRARY_PATH="$LD_LIBRARY_PATH''${LD_LIBRARY_PATH:+:}${self.torch}/${self.python.sitePackages}/torch/lib:${lib.makeLibraryPath [ cudatoolkit "${cudatoolkit}" ]}"
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'' else ''
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export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:${self.torch}/${self.python.sitePackages}/torch/lib"
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export LD_LIBRARY_PATH="$LD_LIBRARY_PATH''${LD_LIBRARY_PATH:+:}${self.torch}/${self.python.sitePackages}/torch/lib"
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'';
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}))
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{ };
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@ -6,7 +6,7 @@ index 573b3e4..6f2799e 100755
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# ld will find the right path to load the library, including for 32-bit apps.
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LD_PRELOAD="${GAMEMODEAUTO_NAME}${LD_PRELOAD:+:$LD_PRELOAD}"
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+LD_LIBRARY_PATH="@libraryPath@${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH}"
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+LD_LIBRARY_PATH="@libraryPath@${LD_LIBRARY_PATH:+:}$LD_LIBRARY_PATH"
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-exec env LD_PRELOAD="${LD_PRELOAD}" $GAMEMODERUNEXEC "$@"
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+exec env LD_PRELOAD="${LD_PRELOAD}" LD_LIBRARY_PATH="${LD_LIBRARY_PATH}" $GAMEMODERUNEXEC "$@"
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