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Will allow user to see a record of difficulty changes, and allows us to identify reviews that have been done with FSRS vs SM-2, since the valid range is different.
52 lines
1.8 KiB
Rust
52 lines
1.8 KiB
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 super::CardStateUpdater;
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use super::RevlogEntryPartial;
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use crate::card::CardQueue;
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use crate::card::CardType;
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use crate::scheduler::states::CardState;
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use crate::scheduler::states::IntervalKind;
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use crate::scheduler::states::RelearnState;
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impl CardStateUpdater {
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pub(super) fn apply_relearning_state(
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&mut self,
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current: CardState,
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next: RelearnState,
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) -> RevlogEntryPartial {
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self.card.interval = next.review.scheduled_days;
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self.card.remaining_steps = next.learning.remaining_steps;
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self.card.ctype = CardType::Relearn;
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self.card.lapses = next.review.lapses;
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self.card.ease_factor = (next.review.ease_factor * 1000.0).round() as u16;
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if let Some(position) = current.new_position() {
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self.card.original_position = Some(position)
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}
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self.card.memory_state = next.learning.memory_state;
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let interval = next
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.interval_kind()
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.maybe_as_days(self.secs_until_rollover());
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match interval {
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IntervalKind::InSecs(secs) => {
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self.card.queue = CardQueue::Learn;
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self.card.due = self.fuzzed_next_learning_timestamp(secs);
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}
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IntervalKind::InDays(days) => {
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self.card.queue = CardQueue::DayLearn;
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self.card.due = (self.timing.days_elapsed + days) as i32;
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}
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}
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RevlogEntryPartial::new(
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current,
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next.into(),
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self.card
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.memory_state
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.map(|d| d.difficulty_shifted())
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.unwrap_or(next.review.ease_factor),
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self.secs_until_rollover(),
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)
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}
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}
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