* Add new `card_rendering` mod
Parses a text with av/tts tags and strips or extracts tags.
* Replace old `extract_av_tags` and `strip_av_tags`
... with new `card_rendering` mod
* ressource -> resource
* Add AV prettifier for use in browser table
* Accept String in av tag routines
... and avoid redundant writes if no changes need to be made.
* add benchmarking with criterion; make links test optional (dae)
cargo install cargo-criterion, then run ./bench.sh
* performance comparison: creating HashMap up front (dae)
the previous solution:
anki_tag_parse time: [1.8401 us 1.8437 us 1.8476 us]
this solution:
anki_tag_parse time: [2.2420 us 2.2447 us 2.2477 us]
change: [+21.477% +21.770% +22.066%] (p = 0.00 < 0.05)
Performance has regressed.
* Revert "performance comparison: creating HashMap up front" (dae)
This reverts commit f19126a2f1.
* add missing header
* Write error message if tts lang is missing
* `Tag` -> `Directive`
Python's regex engine performs pathologically on regexes like
'<!--.*?-->' when fed a large string of repeating '<!--' clauses.
Thanks to JaimeSlome / security@huntr.dev for the report; closes#1380.
Solved by switching to the Rust implementation, which does not suffer
from this issue.
entsToText(), minimizeHTML(), and the old regex constants have been
removed; they do not appear to be used by any add-ons.
This could potentially help us avoid having to refetch the notetype
during study in the future, though updates to Note initialization and
the LaTeX handling would be required first.
So, this is fun. Apparently "DeckId" is considered preferable to the
"DeckID" were were using until now, and the latest clippy will start
warning about it. We could of course disable the warning, but probably
better to bite the bullet and switch to the naming that's generally
considered best.
