Packaging Question

从 issue 中显示的生成共享对象依赖项以及 pip/PyPI 打包问题入手。确定一种支持多个 Python 版本的 Linux 打包方案，以及应如何处理 Boost.Python；完成的标准是 issue 中有明确的打包路径，并且其兼容性要求清晰。

Hi all,

I am using a library built on Boost.Python as a dependency for some of my other projects. This library (https://github.com/ompl/ompl) requires building from source and is always linked to the system Python. I would like to make it installable via pip and distribute it on PyPi. My biggest question around this is how to handle Boost.Python. When I look at the generated shared object files, they are linked to a Python-version-specific version of Boost. Namely, I see

libboost_python38.so.1.71.0 => /usr/lib/x86_64-linux-gnu/libboost_python38.so.1.71.0 (0x00007f9d6d9b7000)

I'm wondering what is the best practice for distributing a pre-built package like this? Should I statically link to a particular version of Boost.Python? Assuming I only handle Linux support to start, I don't mind asking them to use apt to install Boost. But, I'd like to enable support across multiple Python versions. If, for example, they are running Ubuntu 20.04, which has system Python version of 3.8, libboost-python-dev seems to install the 3.8-specific version. Would I have to include the entire boost source code and build from scratch when they run pip install?

I'd love to learn by example, but I haven't been able to find any PyPi-distributed packages that use Boost.Python. Can anyone point me to one?

Thanks a lot for your help!