Title: Increase timeout to GitHub API by oscargus · Pull Request #25151 · matplotlib/matplotlib · GitHub
Open Graph Title: Increase timeout to GitHub API by oscargus · Pull Request #25151 · matplotlib/matplotlib
X Title: Increase timeout to GitHub API by oscargus · Pull Request #25151 · matplotlib/matplotlib
Description: PR Summary Just realized that https://matplotlib.org/stable/gallery/lines_bars_and_markers/timeline.html often seems to time out so that the fallback data is used. Even locally, 0.4 seems to not be enough. Increasing to 1 which at least locally seems to do the trick. Edit: Seems to work better now https://output.circle-artifacts.com/output/job/1146acc6-be05-4922-a20e-a5622d444218/artifacts/0/doc/build/html/gallery/lines_bars_and_markers/timeline.html PR Checklist Documentation and Tests Has pytest style unit tests (and pytest passes) Documentation is sphinx and numpydoc compliant (the docs should build without error). New plotting related features are documented with examples. Release Notes New features are marked with a .. versionadded:: directive in the docstring and documented in doc/users/next_whats_new/ API changes are marked with a .. versionchanged:: directive in the docstring and documented in doc/api/next_api_changes/ Release notes conform with instructions in next_whats_new/README.rst or next_api_changes/README.rst
Open Graph Description: PR Summary Just realized that https://matplotlib.org/stable/gallery/lines_bars_and_markers/timeline.html often seems to time out so that the fallback data is used. Even locally, 0.4 seems to not be...
X Description: PR Summary Just realized that https://matplotlib.org/stable/gallery/lines_bars_and_markers/timeline.html often seems to time out so that the fallback data is used. Even locally, 0.4 seems to not be...
Opengraph URL: https://github.com/matplotlib/matplotlib/pull/25151
X: @github
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| og:image:alt | PR Summary Just realized that https://matplotlib.org/stable/gallery/lines_bars_and_markers/timeline.html often seems to time out so that the fallback data is used. Even locally, 0.4 seems to not be... |
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