FYI I pushed my 3 changes to implement my idea. It is now possible to install some extensions in release mode and some others in debug mode. Python in debug mode prefers debug extensions. I documented changes here: https://docs.python.org/dev/whatsnew/3.8.html#debug-build-uses-the-same-abi-as-release-build
The library filename has to be different in debug mode, so it can be co-installable with release build of a C extension. Victor Le samedi 27 avril 2019, Stefan Behnel <[email protected]> a écrit : > Matthias Klose schrieb am 25.04.19 um 13:48: >> Are there use cases where you only want to load *some* >> debug extensions, even if more are installed? > > Not sure if there are _important_ use cases (that could justify certain > design decisions), but I can certainly imagine using a non-debug (and > therefore faster) Pandas or NumPy for preparing some data that I need to > debug my own code. More generally, whenever I can avoid using a debug > version of a *dependency* that I don't need to include in my debug > analysis, it's probably a good idea to not use the debug version. > > Even given venvs and virtualisation techniques, it would probably be nice > if users could install debug+nondebug versions of libraries once and then > import the right one at need, rather than having to set up a new > environment (while they're on a train in the middle of nowhere without fast > access to PyPI). > > Stefan > > _______________________________________________ > Python-Dev mailing list > [email protected] > https://mail.python.org/mailman/listinfo/python-dev > Unsubscribe: https://mail.python.org/mailman/options/python-dev/vstinner%40redhat.com > -- Night gathers, and now my watch begins. It shall not end until my death.
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