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Alexandre Flament ed66ed758d [mod] reduce memory footprint by not calling babel.Locale.parse at runtime ... babel.Locale.parse loads more than 60MB in RAM. The only purpose is to get: LOCALE_NAMES - searx.data.LOCALES["LOCALE_NAMES"] RTL_LOCALES - searx.data.LOCALES["RTL_LOCALES"] This commit calls babel.Locale.parse when the translations are update from weblate and stored in:: searx/data/locales.json This file can be build by:: ./manage data.locales By store these variables in searx.data when the translations are updated we save round about 65MB (usually 4 worker = 260MB of RAM saved. Suggested-by: https://github.com/searxng/searxng/discussions/2633#discussioncomment-8490494 Co-authored-by: Markus Heiser <markus.heiser@darmarit.de>		4 months ago
..
index.rst	[doc] rearranges Settings & Engines docs for better readability	12 months ago
standalone_searx.py.rst	[docs] move searxng_extra/ stuff to the developer section.	2 years ago
update.rst	[mod] reduce memory footprint by not calling babel.Locale.parse at runtime	4 months ago