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75 lines
1.6 KiB
75 lines
1.6 KiB
{ stdenv
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, lib
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, fetchPypi
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, buildPythonPackage
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, cmake
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, python
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, zlib
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, ncurses
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, docutils
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, pygments
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, numpy
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, scipy
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, scikit-learn
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, spdlog
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, fmt
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, rapidjson
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}:
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buildPythonPackage rec {
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pname = "vowpalwabbit";
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version = "9.0.1";
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src = fetchPypi{
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inherit pname version;
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sha256 = "sha256-rDUgOjroY8S73+s+MWyBl86u+8XCH4O8KMCo9zUlqAs=";
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};
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nativeBuildInputs = [
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cmake
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];
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buildInputs = [
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docutils
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ncurses
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pygments
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python.pkgs.boost
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zlib.dev
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spdlog
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fmt
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rapidjson
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];
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# As we disable configure via cmake, pass explicit global options to enable
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# spdlog and fmt packages
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setupPyGlobalFlags = [ "--cmake-options=\"-DSPDLOG_SYS_DEP=ON;-DFMT_SYS_DEP=ON\"" ];
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propagatedBuildInputs = [
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numpy
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scikit-learn
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scipy
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];
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# Python build script uses CMake, but we don't want CMake to do the
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# configuration.
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dontUseCmakeConfigure = true;
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# Python ctypes.find_library uses DYLD_LIBRARY_PATH.
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preConfigure = lib.optionalString stdenv.isDarwin ''
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export DYLD_LIBRARY_PATH="${python.pkgs.boost}/lib"
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'';
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checkPhase = ''
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# check-manifest requires a git clone, not a tarball
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# check-manifest --ignore "Makefile,PACKAGE.rst,*.cc,tox.ini,tests*,examples*,src*"
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${python.interpreter} setup.py check -ms
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'';
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meta = with lib; {
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description = "Vowpal Wabbit is a fast machine learning library for online learning, and this is the python wrapper for the project.";
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homepage = "https://github.com/JohnLangford/vowpal_wabbit";
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license = licenses.bsd3;
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broken = stdenv.isAarch64;
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maintainers = with maintainers; [ teh ];
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};
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}
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