High Performance Python by Micha Gorelick & Ian Ozsvald

Author:Micha Gorelick & Ian Ozsvald
Language: eng
Format: epub, pdf
ISBN: 9781449361594
Publisher: O’Reilly Media, Inc.
Published: 2014-08-20T04:00:00+00:00

In order to build this code, we need to create a setup.py script that uses the distutils module to figure out how to build the code such that it is Python-compatible (Example 7-26). In addition to the standard distutils module, numpy provides its own module to help with adding numpy integration in your CPython modules.

Example 7-26. Setup file for the CPython module diffusion interface

""" setup.py for cpython diffusion module. The extension can be built by running $ python setup.py build_ext --inplace which will create the __cdiffusion.so__ file, which can be directly imported into Python. """ from distutils.core import setup, Extension import numpy.distutils.misc_util __version__ = "0.1" cdiffusion = Extension( 'cdiffusion', sources = ['cdiffusion/cdiffusion.c', 'cdiffusion/python_interface.c'], extra_compile_args = ["-O3", "-std=c99", "-Wall", "-p", "-pg", ], extra_link_args = ["-lc"], ) setup ( name = 'diffusion', version = __version__, ext_modules = [cdiffusion,], packages = ["diffusion", ], include_dirs = numpy.distutils.misc_util.get_numpy_include_dirs(), )

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