spack/var/spack/repos/builtin/packages/py-scipy/package.py
2017-03-03 16:31:03 -06:00

60 lines
2.4 KiB
Python

##############################################################################
# Copyright (c) 2013-2016, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/llnl/spack
# Please also see the LICENSE file for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class PyScipy(PythonPackage):
"""SciPy (pronounced "Sigh Pie") is a Scientific Library for Python.
It provides many user-friendly and efficient numerical routines such
as routines for numerical integration and optimization."""
homepage = "http://www.scipy.org/"
url = "https://pypi.io/packages/source/s/scipy/scipy-0.18.1.tar.gz"
version('0.18.1', '5fb5fb7ccb113ab3a039702b6c2f3327')
version('0.17.0', '5ff2971e1ce90e762c59d2cd84837224')
version('0.15.1', 'be56cd8e60591d6332aac792a5880110')
version('0.15.0', '639112f077f0aeb6d80718dc5019dc7a')
depends_on('python@2.6:2.8,3.2:')
depends_on('py-setuptools', type='build')
depends_on('py-numpy@1.7.1:+blas+lapack', type=('build', 'run'))
# NOTE: scipy picks up Blas/Lapack from numpy, see
# http://www.scipy.org/scipylib/building/linux.html#step-4-build-numpy-1-5-0
depends_on('blas')
depends_on('lapack')
def build_args(self, spec, prefix):
args = []
# Build in parallel
# Known problems with Python 3
# https://github.com/scipy/scipy/issues/7112
if not spec.satisfies('^python@3:'):
args.extend(['-j', str(make_jobs)])
return args