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# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import os
from spack import *
class PyXgboost(PythonPackage):
"""XGBoost is an optimized distributed gradient boosting library designed to be
highly efficient, flexible and portable."""
homepage = 'https://xgboost.ai/'
pypi = 'xgboost/xgboost-1.3.3.tar.gz'
maintainers = ['adamjstewart']
import_modules = ['xgboost']
version('1.5.2', sha256='404dc09dca887ef5a9bc0268f882c54b33bfc16ac365a859a11e7b24d49da387')
version('1.3.3', sha256='397051647bb837915f3ff24afc7d49f7fca57630ffd00fb5ef66ae2a0881fb43')
variant('pandas', default=False, description='Enable Pandas extensions for training.')
variant('scikit-learn', default=False, description='Enable scikit-learn extensions for training.')
variant('dask', default=False, description='Enables Dask extensions for distributed training.')
variant('plotting', default=False, description='Enables tree and importance plotting.')
for ver in ['1.3.3', '1.5.2']:
depends_on('xgboost@' + ver, when='@' + ver)
depends_on('python@3.6:', type=('build', 'run'))
depends_on('py-setuptools', type=('build'))
depends_on('py-numpy', type=('build', 'run'))
depends_on('py-scipy', type=('build', 'run'))
depends_on('py-pandas', when='+pandas', type=('build', 'run'))
depends_on('py-scikit-learn', when='+scikit-learn', type=('build', 'run'))
depends_on('py-dask', when='+dask', type=('build', 'run'))
depends_on('py-pandas', when='+dask', type=('build', 'run'))
depends_on('py-distributed', when='+dask', type=('build', 'run'))
depends_on('py-graphviz', when='+plotting', type=('build', 'run'))
depends_on('py-matplotlib', when='+plotting', type=('build', 'run'))
def patch(self):
# https://github.com/dmlc/xgboost/issues/6706
# 'setup.py' is hard-coded to search in Python installation prefix
filter_file("lib_path = os.path.join(sys.prefix, 'lib')",
"lib_path = '{0}'".format(self.spec['xgboost'].libs.directories[0]),
"setup.py", string=True)
# Same for run-time search
filter_file("os.path.join(curr_path, 'lib'),",
"'{0}',".format(self.spec['xgboost'].libs.directories[0]),
os.path.join('xgboost', 'libpath.py'), string=True)
def install_options(self, spec, prefix):
return ['--use-system-libxgboost']
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