New submission from Oliver Margetts <oliver.marge...@gmail.com>:
Creating large enums takes a significant amount of time. Moreover this appears to be nonlinear in the number of entries in the enum. Locally, importing a single python file and taking this to the extreme: 1000 entries - 0.058s 10000 entries - 4.327s This is partially addressed by https://bugs.python.org/issue38659 and I can confirm that using `@_simple_enum` does not have this problem. But it seems like that API is only intended for internal use and the 'happy path' for user-defined enums is still not good. Note that it is not simply parsing the file / creating the instances, it is to do with the cardinality. Creating 100 enums with 100 entries each is far faster than a single 10000 entry enum. ---------- files: huge.py messages: 403512 nosy: olliemath priority: normal severity: normal status: open title: Enum creation non-linear in the number of values type: performance versions: Python 3.10, Python 3.11, Python 3.7 Added file: https://bugs.python.org/file50332/huge.py _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue45417> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
