[英]How to handle dependency on scipy in setup.py
我正在尝试为依赖于SciPy的项目创建setup.py
。 以下setup.py
重现了这一点:
setup(
name='test',
version='0.1',
install_requires=['scipy']
)
使用python setup.py develop
安装时会产生以下错误:
ImportError: No module named numpy.distutils.core
但是,当我使用pip
安装scipy时,它是从一个轮子安装它,它工作得很好。
所以,我的问题是,我如何创建一个依赖于SciPy的setup.py
? 为什么setuptools
不会从轮子安装依赖项? 使用Python 3时这会更好吗(我们计划无论如何都要迁移,所以如果它在那里工作,我会等到迁移完成后)。
我在Mac OS X 10.10.1上使用Python 2.7.8,使用setuptools
3.6和pip
1.5.6。
最终,这对我有用:
#!/usr/bin/env python
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext as _build_ext
#
# This cludge is necessary for horrible reasons: see comment below and
# http://stackoverflow.com/q/19919905/447288
#
class build_ext(_build_ext):
def finalize_options(self):
_build_ext.finalize_options(self)
# Prevent numpy from thinking it is still in its setup process:
__builtins__.__NUMPY_SETUP__ = False
import numpy
self.include_dirs.append(numpy.get_include())
setup(
#
# Amazingly, `pip install scipy` fails if `numpy` is not already installed.
# Since we cannot control the order that dependencies are installed via
# `install_requires`, use `setup_requires` to ensure that `numpy` is available
# before `scipy` is installed.
#
# Unfortunately, this is *still* not sufficient: `numpy` has a guard to
# check when it is in its setup process that we must circumvent with
# the `cmdclass`.
#
setup_requires=['numpy'],
cmdclass={'build_ext':build_ext},
install_requires=[
'numpy',
'scipy',
],
...
)
使用setup_requires
参数来安装numpy
之前的scipy
:
setup(
name='test',
version='0.1',
setup_requires=['numpy'],
install_requires=['scipy']
)
注意 :还需要Fortran编译器来构建scipy。 你可以通过brew安装它:
brew install gcc
ps如果你有AttributeError: 'module' object has no attribute 'get_include'
看看为什么setup_requires没有正常工作numpy? 所以问题,它假设解决了这个问题。
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