让distutils在正确的位置查找numpy头文件

Veb*_*osa 42 python distutils numpy cython

在我的安装中,numpy arrayobject.h位于…/site-packages/numpy/core/include/numpy/arrayobject.h.我写了一个使用numpy的简单Cython脚本:

cimport numpy as np

def say_hello_to(name):
    print("Hello %s!" % name)
Run Code Online (Sandbox Code Playgroud)

我也有以下distutils setup.py(从Cython用户指南复制):

from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext

ext_modules = [Extension("hello", ["hello.pyx"])]

setup(
  name = 'Hello world app',
  cmdclass = {'build_ext': build_ext},
  ext_modules = ext_modules
)
Run Code Online (Sandbox Code Playgroud)

当我尝试构建时python setup.py build_ext --inplace,Cython尝试执行以下操作:

gcc -fno-strict-aliasing -Wno-long-double -no-cpp-precomp -mno-fused-madd \
-fno-common -dynamic -DNDEBUG -g -Os -Wall -Wstrict-prototypes -DMACOSX \
-I/usr/include/ffi -DENABLE_DTRACE -arch i386 -arch ppc -pipe \
-I/System/Library/Frameworks/Python.framework/Versions/2.5/include/python2.5 \
-c hello.c -o build/temp.macosx-10.5-i386-2.5/hello.o
Run Code Online (Sandbox Code Playgroud)

可以预见,这无法找到arrayobject.h.如何让distutils使用numpy包含文件的正确位置(不让用户定义$ CFLAGS)?

Veb*_*osa 66

用途numpy.get_include():

from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext
import numpy as np                           # <---- New line

ext_modules = [Extension("hello", ["hello.pyx"])]

setup(
  name = 'Hello world app',
  cmdclass = {'build_ext': build_ext},
  include_dirs = [np.get_include()],         # <---- New line
  ext_modules = ext_modules
)
Run Code Online (Sandbox Code Playgroud)

  • `get_numpy_include()` 不应该是 `np.get_include()` 吗? (4认同)
  • 我不得不在`Extension`调用中移动`include_dirs`行以使其与cython 0.24一起使用 (3认同)
  • 在ipython笔记本中使用`%% cython`魔法时我遇到了同样的问题.我想知道是否有一个简单的解决方案 (2认同)
  • 对于任何将此作为非“numpy”相关工作示例的人,“numpy.get_include”的定义是[此处](https://github.com/numpy/numpy/blob/56678fe56dce97871bb49febf0b2c0206541eada/numpy/lib/ utils.py#L18)。 (2认同)

R_B*_*rie 24

@ vebjorn-ljosa给出的答案是正确的,但与它结合使用时会引起问题install_requires=['numpy'].在这种情况下,您的setup.py需要导入numpy,如果您pip install在没有pip install numpy先运行的情况下尝试项目,将导致错误.

如果您的项目依赖于numpy,并且您希望将numpy作为依赖项自动安装,则只有在实际构建扩展时才需要设置include_dirs.您可以通过子类化来完成此操作build_ext:

from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext

class CustomBuildExtCommand(build_ext):
    """build_ext command for use when numpy headers are needed."""
    def run(self):

        # Import numpy here, only when headers are needed
        import numpy

        # Add numpy headers to include_dirs
        self.include_dirs.append(numpy.get_include())

        # Call original build_ext command
        build_ext.run(self)

ext_modules = [Extension("hello", ["hello.pyx"])]

setup(
  name = 'Hello world app',
  cmdclass = {'build_ext': CustomBuildExtCommand},
  install_requires=['numpy'],
  ext_modules = ext_modules
)
Run Code Online (Sandbox Code Playgroud)

您可以使用类似的技巧将cython添加为自动安装的依赖项:

from distutils.core import setup
from distutils.extension import Extension

try:
    from Cython.setuptools import build_ext
except:
    # If we couldn't import Cython, use the normal setuptools
    # and look for a pre-compiled .c file instead of a .pyx file
    from setuptools.command.build_ext import build_ext
    ext_modules = [Extension("hello", ["hello.c"])]
else:
    # If we successfully imported Cython, look for a .pyx file
    ext_modules = [Extension("hello", ["hello.pyx"])]

class CustomBuildExtCommand(build_ext):
    """build_ext command for use when numpy headers are needed."""
    def run(self):

        # Import numpy here, only when headers are needed
        import numpy

        # Add numpy headers to include_dirs
        self.include_dirs.append(numpy.get_include())

        # Call original build_ext command
        build_ext.run(self)

setup(
  name = 'Hello world app',
  cmdclass = {'build_ext': CustomBuildExtCommand},
  install_requires=['cython', 'numpy'],
  ext_modules = ext_modules
)
Run Code Online (Sandbox Code Playgroud)

注意:这些方法仅适用于pip install ..它们不适用于这些命令,python setup.py install或者python setup.py develop在这些命令中工作,导致在项目之后而不是之前安装依赖项.