v0.3.0: Parameter Optimizer

Full Changelog: v0.2.0...v0.3.0

v0.2.0

What's New

Breaking Changes

• Low-level functions (fsrs_initial_state, fsrs_next_state, fsrs_next_interval) now accept an optional params argument. Existing code continues to work (defaults to NULL).

New Features

• fsrs_repeat() - Get all 4 rating outcomes (Again/Hard/Good/Easy) in a single call
• fsrs_from_sm2() - Convert SM-2 ease factor & interval to FSRS state (for Anki migration)
• fsrs_memory_state() - Compute memory state from a sequence of reviews
• fsrs_retrievability_vec() - Vectorized retrievability for large datasets
• Scheduler$preview_card() - Preview outcomes without modifying the card
• Card$clone_card() - Deep copy a card
• fsrs_simulate() - Convenience function to simulate learning

Bug Fixes

• Scheduler now actually uses custom parameters (was silently ignoring them!)
• State transitions now correctly match py-fsrs/rs-fsrs behavior

Full Changelog

v0.1.0...v0.2.0

v0.1.0

Initial release featuring:

• Core FSRS-6 algorithm via Rust bindings (fsrs-rs)
• py-fsrs style API: Card, Scheduler, Rating, State, ReviewLog
• JSON serialization support
• Custom parameters and desired retention
• Interval fuzzing option
• Full documentation and vignettes