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33 lines
1.2 KiB
Plaintext
33 lines
1.2 KiB
Plaintext
name = 'numpy'
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version = '1.9.2'
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versionsuffix = '-Python-%(local_pyver)s'
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homepage = 'http://www.numpy.org'
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description = """NumPy is the fundamental package for scientific local_computing with Python. It contains among other things:
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a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran
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code, useful linear algebra, Fourier transform, and random number capabilities. Besides its obvious scientific uses,
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NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be
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defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases."""
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toolchain = {'name': 'intel', 'version': '2016b'}
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source_urls = [SOURCEFORGE_SOURCE]
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sources = [SOURCE_TAR_GZ]
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patches = ['numpy-1.8.0-mkl.patch']
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dependencies = [
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('Python', '2.7.12'),
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]
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# need to use pip rather than regular 'setup.py install,'
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# to ensure that this numpy wins over the one in the Python installation;
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# using easy_install does not work...
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use_pip = True
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# install as zipped egg to get a .pth file in lib/python*/site-packages;
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# this enables shadowing of the numpy that is part of the Python installation
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zipped_egg = True
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moduleclass = 'math'
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