#๐Ÿ”’ Optimizing Text Case Conversion Boundary Matching

4 messages ยท Page 1 of 1 (latest)

somber zenith
#

Hey everyone,

I've just released a new Python library for text case conversion and I'm wondering if there's a way to speed up this part of the code:

https://github.com/zobweyt/textcase/blob/0035bb01a7646b53fe8de53a99f96df431bb0f3e/src/textcase/__init__.py#L407-L423

Here, I loop over the text, checking various boundary conditions to split and convert words (see https://zobweyt.github.io/textcase/learn/cases/ for more details).

It seems to me that this algorithm is not the best. Any ideas or alternative approaches to improve its performance?

Thanks a lot for your help!

devout zodiacBOT
#

@somber zenith

Python help channel opened

Remember to:

  • Ask your Python question, not if you can ask or if there's an expert who can help.
  • Show a code sample as text (rather than a screenshot) and the error message, if you've got one.
  • Explain what you expect to happen and what actually happens.

:warning: Do not pip install anything that isn't related to your question, especially if asked to over DMs.

devout zodiacBOT
#

@somber zenith

Python help channel closed for inactivity

This help channel has been closed. Feel free to create a new post in #1035199133436354600. To maximize your chances of getting a response, check out this guide on asking good questions.