* Fix/fallback to non-manual entry when first_of_last_learn_entries non found
* refactor single_card_revlog_to_item(s)
* update unit test of bypassed_learning_is_handled
* move comment line
* remove first_relearn_entries
* skip cram entry
* only pick non_manual_entries after ignore date
* fallback to non_manual_entries if the first learning step is before the ignore date
* pass ci
* update ignore_before_date_between_learning_steps_when_reviewing
* shorten the comment
* Minor refactoring
- fsrs_items_for_memory_state - fsrs_items_for_memory_states
- single_card_revlog_to_item -> fsrs_item_for_memory_state
(to match fsrs_items_for_training)
- single_card_revlog_to_items -> reviews_for_fsrs
- Use struct instead of tuple for reviews_for_fsrs output
- Don't return count, since we're already returning the filtered list
* More renaming/comment tweaks
- non_manual_entries -> first_user_grade_idx
- change comments to reflect the fact that we're working backwards
- Use "user-graded" rather than "non-manual"
* Add extra unit test
* Some wording tweaks
* graduate card when user press hard and has 0 learning steps
* fix error: useless conversion to the same type
* do the same thing to again
* fix expected `Option<u32>`, found integer
* ./ninja format
* let FSRS control short term schedule
* Update to FSRS-rs v1.3.0
* ./ninja check:clippy
* Update to FSRS-rs v1.3.1
* Pin FSRS version (dae)
https://github.com/ankidroid/Anki-Android-Backend/pull/417
* Remove redundant parens (dae)
* Bump Python deps
Primarily for flask-cors CVE
* Bump TS deps; pin license checker
Current checker is missing the binary
https://github.com/RSeidelsohn/license-checker-rseidelsohn/issues/118
* Update Rust deps
Hyper and axum are held back as we currently make use of the older
http library that reqwest pulls in
* Feat/FSRS-5
* adapt the SimulatorConfig of FSRS-5
* update parameters from FSRS-4.5
* udpate to FSRS-rs v1.1.0
* ./ninja fix:minilints
* pass ci
* update cargo-deny to 0.14.24
* udpate to FSRS-rs v1.1.1
* update to fsrs-rs v1.1.2
If we want to be able to factor the desired retention into a sort based
on relative overdueness, having the values accessible on the card makes
things easier.
* Pack FSRS data into card.data
* Update FSRS card data when preset or weights change
+ Show FSRS stats in card stats
* Show a warning when there's a limited review history
* Add some translations; tweak UI
* Fix default requested retention
* Add browser columns, fix calculation of R
* Property searches
eg prop:d>0.1
* Integrate FSRS into reviewer
* Warn about long learning steps
* Hide minimum interval when FSRS is on
* Don't apply interval multiplier to FSRS intervals
* Expose memory state to Python
* Don't set memory state on new cards
* Port Jarret's new tests; add some helpers to make tests more compact
https://github.com/open-spaced-repetition/fsrs-rs/pull/64
* Fix learning cards not being given memory state
* Require update to v3 scheduler
* Don't exclude single learning step when calculating memory state
* Use relearning step when learning steps unavailable
* Update docstring
* fix single_card_revlog_to_items (#2656)
* not need check the review_kind for unique_dates
* add email address to CONTRIBUTORS
* fix last first learn & keep early review
* cargo fmt
* cargo clippy --fix
* Add Jarrett to about screen
* Fix fsrs_memory_state being initialized to default in get_card()
* Set initial memory state on graduate
* Update to latest FSRS
* Fix experiment.log being empty
* Fix broken colpkg imports
Introduced by "Update FSRS card data when preset or weights change"
* Update memory state during (re)learning; use FSRS for graduating intervals
* Reset memory state when cards are manually rescheduled as new
* Add difficulty graph; hide eases when FSRS enabled
* Add retrievability graph
* Derive memory_state from revlog when it's missing and shouldn't be
---------
Co-authored-by: Jarrett Ye <jarrett.ye@outlook.com>
