name = 'numpy'
version = '1.12.1'
versionsuffix = '-Python-%(pyver)s-base'
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': 'dummy', 'version': ''}
source_urls = [PYPI_SOURCE]
sources = [SOURCE_ZIP]
#patches = ['numpy-1.12.0-mkl.patch']
dependencies = [
('Python', '2.7.13', '-base'),
]
# check that numpy is present in python and in proper version
sanity_check_commands = [('python', '-c "import numpy; assert(numpy.__version__ == \'%(version)s\')"')]
moduleclass = 'math'