name = 'scipy'
version = '0.16.0'
versionsuffix = '-Python-2.7.12'

homepage = 'http://www.scipy.org'
description = """SciPy is a collection of mathematical algorithms and convenience
 functions built on the Numpy extension for Python."""

toolchain = {'name': 'intel', 'version': '2016b'}
toolchainopts = {'pic': True}

source_urls = [('http://sourceforge.net/projects/scipy/files/scipy/%(version)s', 'download')]
sources = [SOURCE_TAR_GZ]

patches = ['scipy-%(version)s_fix-failing-tests-mkl.patch']

dependencies = [
    ('numpy', '1.9.2', versionsuffix),
]

# recompile patch Cython source file
prebuildopts = "cython scipy/linalg/_decomp_update.pyx && "

# need to use pip rather than regular 'setup.py install,'
# to ensure that this scipy wins over the one in the Python installation;
# using easy_install does not work...
use_pip = True

# install as zipped egg to get a .pth file in lib/python*/site-packages;
# this enables shadowing of the scipy that is part of the Python installation
zipped_egg = True

moduleclass = 'math'