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#!/usr/bin/env python
"""Install file for example on how to use Cython with Numpy.
Note: Cython is the successor project to Pyrex. For more information, see
http://cython.org.
"""
from __future__ import division
from distutils.core import setup
from distutils.extension import Extension
import numpy
# We detect whether Cython is available, so that below, we can eventually ship
# pre-generated C for users to compile the extension without having Cython
# installed on their systems.
try:
from Cython.Distutils import build_ext
has_cython = True
except ImportError:
has_cython = False
# Define a cython-based extension module, using the generated sources if cython
# is not available.
if has_cython:
pyx_sources = ['numpyx.pyx']
cmdclass = {'build_ext': build_ext}
else:
# In production work, you can ship the auto-generated C source yourself to
# your users. In this case, we do NOT ship the .c file as part of numpy,
# so you'll need to actually have cython installed at least the first
# time. Since this is really just an example to show you how to use
# *Cython*, it makes more sense NOT to ship the C sources so you can edit
# the pyx at will with less chances for source update conflicts when you
# update numpy.
pyx_sources = ['numpyx.c']
cmdclass = {}
# Declare the extension object
pyx_ext = Extension('numpyx',
pyx_sources,
include_dirs = [numpy.get_include()])
# Call the routine which does the real work
setup(name = 'numpyx',
description = 'Small example on using Cython to write a Numpy extension',
ext_modules = [pyx_ext],
cmdclass = cmdclass,
)
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