name = 'numpy'
version = '1.9.2'
versionsuffix = '-Python-%(pyver)s'

homepage = 'http://www.numpy.org'
description = """NumPy is the fundamental package for scientific computing with Python. It contains among other things:
 a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran
 code, useful linear algebra, Fourier transform, and random number capabilities. Besides its obvious scientific uses,
 NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be 
 defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases."""

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

source_urls = [SOURCEFORGE_SOURCE]
sources = [SOURCE_TAR_GZ]

patches = ['numpy-1.8.0-mkl.patch']

dependencies = [
    ('Python', '2.7.12'),
]

# need to use pip rather than regular 'setup.py install,'
# to ensure that this numpy 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 numpy that is part of the Python installation
zipped_egg = True

moduleclass = 'math'