Packaging Question

從 issue 中顯示的產生共享物件相依性以及 pip/PyPI 封裝問題著手。確定一種支援多個 Python 版本的 Linux 封裝方案，以及應如何處理 Boost.Python；完成的標準是 issue 中有具體的封裝路徑，且其相容性需求清楚。

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!