Packaging Question

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!

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。

由索引模型根據 Issue 內容生成。