提供NumPy site.cfg参数给pip [英] Supplying NumPy site.cfg arguments to pip

问题描述

我正在使用针对英特尔数学内核库构建的NumPy.我使用virtualenv，通常使用pip来安装软件包.

I'm using NumPy built against Intel's Math Kernel Library. I use virtualenv, and typically use pip to install packages.

但是，为了让NumPy找到MKL库，有必要在NumPy源目录中创建site.cfg文件，然后再对其进行编译，然后手动进行构建和安装.我可以编写整个过程的脚本，但是我希望有一个更简单的解决方案.

However, in order for NumPy to find the MKL libraries, it's necessary to create a site.cfg file in the NumPy source directory prior to compiling it, then manually build and install. I could script this whole process, but I was hoping for a simpler solution.

我有一个标准的site.cfg文件，可在版本控制下用于此目的.是否有任何pip命令行选项会告诉它在构建软件包之前将特定文件复制到源目录?

I have a standard site.cfg file that can be used for this purpose under version control. Are there any pip command line options that will tell it to copy a particular file to the source directory before building a package?

或者，是否可以设置任何环境变量，而不是在site.cfg文件中提供库路径?这是我使用的site.cfg文件.它几乎是从英特尔网站中直接获得的. >

Alternatively, are there any environment variables that can be set instead of supplying the library paths in a site.cfg file? Here is the site.cfg file that I use. It was taken almost verbatim from Intel's site.

[mkl]
library_dirs = /opt/intel/composer_xe_2013.1.117/mkl/lib/intel64
include_dirs = /opt/intel/composer_xe_2013.1.117/mkl/include
mkl_libs = mkl_rt
lapack_libs =

作为参考，我正在运行Ubuntu，Python 2.7和NumPy 1.6.

For reference, I'm running Ubuntu, Python 2.7, and NumPy 1.6.

推荐答案

从源代码( https://github.com/numpy/numpy/blob/master/site.cfg.example ):

为帮助自动安装(如用户的主目录easy_install) 还将检查文件〜/.numpy-site.cfg.

To assist automatic installation like easy_install, the user's home directory will also be checked for the file ~/.numpy-site.cfg .

这是可行的解决方案吗?您仍然需要使用全局.numpy-site.cfg预加载主目录，但是之后不必再进行构建或安装了.

Is that a workable solution? You'd still need to preload the home directories with the global .numpy-site.cfg, but you wouldn't have to muck with the build or installation after that.

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