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* 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>
16 lines
502 B
Rust
16 lines
502 B
Rust
// Copyright: Ankitects Pty Ltd and contributors
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// License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
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use fsrs::FSRSError;
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use crate::error::AnkiError;
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impl From<FSRSError> for AnkiError {
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fn from(err: FSRSError) -> Self {
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match err {
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FSRSError::NotEnoughData => AnkiError::FsrsInsufficientData,
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FSRSError::Interrupted => AnkiError::Interrupted,
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FSRSError::InvalidWeights => AnkiError::FsrsWeightsInvalid,
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}
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}
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}
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