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base repository: sphinx-doc/sphinx-intl
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base: 2.2.0
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head repository: sphinx-doc/sphinx-intl
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compare: 2.3.0
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- 19 commits
- 32 files changed
- 4 contributors
Commits on Apr 19, 2024
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Commits on Apr 20, 2024
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drop python<=3.7 support (#101)
* drop python<=3.7 support iAccording to https://endoflife.date/python python 3.7 has been EOSed 27 Jun 2023. Filter all python cde over `pyupgrade --py38-plus`. Signed-off-by: Tomasz Kłoczko <[email protected]> * update classifiers and remove mock as it is no longer needed Bump as well minimum pyton version to 3.8. Signed-off-by: Tomasz Kłoczko <[email protected]> * remove unused imports Filter all code over `ruff check --fix .`. Signed-off-by: Tomasz Kłoczko <[email protected]> * remove python 3.7 from gh workflows as it is no longer needed Signed-off-by: Tomasz Kłoczko <[email protected]> --------- Signed-off-by: Tomasz Kłoczko <[email protected]>
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Commits on Apr 21, 2024
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Commits on Apr 27, 2024
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Commits on May 19, 2024
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Commits on Jun 16, 2024
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add devcontainer and related dependabot config (#104)
* add devcontainer and related dependabot config * dependabot interval for gha monthly * devcontainer uses OS Python
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Commits on Jun 27, 2024
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Commits on Nov 2, 2024
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Avoid unrelated CI test for doc changes, and cache using setup-python…
… action (#106) * ci: do not run test.yml on doc changes * ci: Cache using setup-python action * Update CHANGES.rst
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Commits on Nov 6, 2024
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Add CI test for sphinx-intl's doc (#107)
* ci: add test for documentation * Add sphinx-lint to doc/requirements.txt * ci: add workflow_dispatch to doc.yml Allows to call manually the workflow, which is helpful for linkcheck * Add workflow file to event trigger paths * Add self to doc/requirements.txt Needed due to a import of sphinx-intl in doc/conf.py * Annotate error messages from doc.yml
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* fix for lint * add asterisk for paths to catch all changes under doc/
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Commits on Nov 10, 2024
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Perform update in parallel (#110)
The update command implementation runs over files that are independent from each other. As such, the overall update operation can be trivially parallelised to speed things up. This change introduces The list of files that need to be compared/updated is collected in a first past. This list is then given to a multiprocessing pool to farm out the actual update of each individual file. The amount of parallelism is controlled through a new "jobs" parameter, command line option and environment variable. If no value is given for this option, all CPUs are used. I noticed this chance for improvement when doing a test run of the update of .po files for the Spanish translation of the CPython documentation. Local numbers in my 8-core, hyper-threaded AMD Ryzen 7 5825U: -j 1 (same as old behaviour) real 12m5.402s user 12m4.942s sys 0m0.273s -j 8 real 2m23.609s user 17m45.201s sys 0m0.460s <no value given> real 1m57.398s user 26m22.654s sys 0m0.989s Signed-off-by: Rodrigo Tobar <[email protected]>
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