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wx: Use integers in more places by QuLogic · Pull Request #19395 · matplotlib/matplotlib · GitHub

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wx: Use integers in more places - #19395

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anntzer merged 2 commits into
matplotlib:masterfrom
QuLogic:wx-py310
Jan 29, 2021
Merged

anntzer merged 2 commits into
matplotlib:masterfrom
QuLogic:wx-py310

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QuLogic commented Jan 29, 2021

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PR Summary

Alas, my fix in #19052 was incomplete, or something changed in the meantime. There are a few more places that wx does not accept floats (see commit messages for details). This only appears to happen with Python 3.10, but looking at the C++ wx side, there are no floating point overloads, so I'm not sure why it ever worked.

PR Checklist

  • Has pytest style unit tests (and pytest passes).
  • Is Flake 8 compliant (run flake8 on changed files to check).
  • [n/a] New features are documented, with examples if plot related.
  • [n/a] Documentation is sphinx and numpydoc compliant (the docs should build without error).
  • Conforms to Matplotlib style conventions (install flake8-docstrings and run flake8 --docstring-convention=all).
  • [n/a] New features have an entry in doc/users/next_whats_new/ (follow instructions in README.rst there).
  • [n/a] API changes documented in doc/api/next_api_changes/ (follow instructions in README.rst there).

This is a very-small partial revert of matplotlib#15292, which claimed that wx
supports floats, but this no longer appears to be the case with Python
3.10, and looking at the C++ class constructor [1], should not have ever
been supported.

[1] https://docs.wxwidgets.org/3.0/classwx_font.html
QuLogic added Release critical For bugs that make the library unusable (segfaults, incorrect plots, etc) and major regressions. GUI: wx labels Jan 29, 2021
QuLogic added this to the v3.4.0 milestone Jan 29, 2021
anntzer merged commit 0d749c5 into matplotlib:master Jan 29, 2021
QuLogic deleted the wx-py310 branch January 31, 2021 10:09
anntzer mentioned this pull request Dec 17, 2021
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GUI: wx Release critical For bugs that make the library unusable (segfaults, incorrect plots, etc) and major regressions.

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