nixpkgs/pkgs/development/python-modules/vowpalwabbit/default.nix

66 lines
1.4 KiB
Nix

{ stdenv
, lib
, fetchPypi
, buildPythonPackage
, cmake
, python
, zlib
, ncurses
, pytest
, docutils
, pygments
, numpy
, scipy
, scikit-learn }:
buildPythonPackage rec {
pname = "vowpalwabbit";
version = "8.9.0";
src = fetchPypi{
inherit pname version;
sha256 = "37fb7a400f3a7923a04df9921b3eef1bbe96117424ef083dcfed0e4eea77fa08";
};
nativeBuildInputs = [
cmake
];
buildInputs = [
docutils
ncurses
pygments
python.pkgs.boost
zlib.dev
];
propagatedBuildInputs = [
numpy
scikit-learn
scipy
];
# Python build script uses CMake, but we don't want CMake to do the
# configuration.
dontUseCmakeConfigure = true;
# Python ctypes.find_library uses DYLD_LIBRARY_PATH.
preConfigure = lib.optionalString stdenv.isDarwin ''
export DYLD_LIBRARY_PATH="${python.pkgs.boost}/lib"
'';
checkPhase = ''
# check-manifest requires a git clone, not a tarball
# check-manifest --ignore "Makefile,PACKAGE.rst,*.cc,tox.ini,tests*,examples*,src*"
${python.interpreter} setup.py check -ms
'';
meta = with lib; {
description = "Vowpal Wabbit is a fast machine learning library for online learning, and this is the python wrapper for the project.";
homepage = "https://github.com/JohnLangford/vowpal_wabbit";
license = licenses.bsd3;
broken = stdenv.isAarch64;
maintainers = with maintainers; [ teh ];
};
}