Date Created: 2025-11-06 Last Updated: 2025-12-26 Implementation Approach: Option A - Full SCDAWG Timeline: Completed Status: ✅ Complete
| Phase | Status | Tasks Complete | Estimated Duration | Actual Duration |
|---|---|---|---|---|
| Phase 1: Foundation | ✅ Complete | 3/3 | 2-3 weeks | ~1 day |
| Phase 2: SCDAWG Backend | ✅ Complete | 4/4 | 8-10 weeks | ~2 days |
| Phase 3: WallBreaker Core | ✅ Complete | 3/3 | 4-6 weeks | ~1 day |
| Phase 4: Integration | ✅ Complete | 1/1 | 2-3 weeks | <1 day |
| Phase 5: Testing | ✅ Complete | 1/1 | 3-4 weeks | <1 day |
| Phase 6: Documentation | ✅ Complete | 1/1 | 1-2 weeks | <1 day |
| Overall Progress | ✅ Complete | 13/13 | 20-28 weeks | ~5 days |
Legend: ⏳ Not Started | 🟡 In Progress | ✅ Complete | ❌ Blocked | ⚠️ At Risk
The WallBreaker algorithm was implemented using Option A: Full SCDAWG approach, which provides the fastest possible query performance by maintaining symmetric bidirectional traversal capabilities in the dictionary structure.
| File | Lines | Description |
|---|---|---|
src/dictionary/substring.rs | ~120 | SubstringMatch, SubstringDictionary, BidirectionalDictionaryNode traits |
src/dictionary/scdawg.rs | ~1300 | Byte-level SCDAWG implementation (ASCII) |
src/dictionary/scdawg_char.rs | ~800 | Character-level SCDAWG (Unicode/UTF-8) |
src/wallbreaker/mod.rs | ~200 | WallBreaker struct and module exports |
src/wallbreaker/pattern_splitter.rs | ~275 | PatternSplitter using pigeonhole principle |
src/wallbreaker/extension.rs | ~460 | BidirectionalExtension for left/right traversal |
src/wallbreaker/query_iterator.rs | ~230 | WallBreakerQuery iterator with deduplication |
| File | Changes |
|---|---|
src/dictionary/mod.rs | Added module exports for scdawg, scdawg_char, substring |
src/lib.rs | Added wallbreaker module and documentation |
src/lib.rs (prelude) | Added WallBreaker, Scdawg, ScdawgChar exports |
SubstringMatch<N> struct with node, term, position, length fieldsSubstringDictionary trait with find_exact_substring() methodExtensionResult struct for bidirectional extension resultsFile: src/dictionary/substring.rs
BidirectionalDictionaryNode traitparent(), parent_label() methods for backward traversalreverse_edges(), reverse_transition() methodsdepth() method for position trackingis_root() method for root detectionFile: src/dictionary/substring.rs
pub mod substring; to dictionary modulepub use statements for new traitsFile: src/dictionary/mod.rs
ScdawgNode<V> with:
forward_edges: SmallVec<[(u8, usize); 4]>backward_edges: SmallVec<[(u8, SmallVec<[usize; 2]>); 2]>suffix_link: Option<usize>parent: usize (NO_PARENT = usize::MAX)parent_label: u8depth: usizeis_final: boolvalue: Option<V>File: src/dictionary/scdawg.rs
from_terms() builderinsert() for term additionremove() for term removal with node cleanupFile: src/dictionary/scdawg.rs
find_exact_substring() for SubstringDictionary traitFile: src/dictionary/scdawg.rs
ScdawgChar<V> for Unicode supportchar instead of u8 for edge labelsFile: src/dictionary/scdawg_char.rs
PatternSplitter structb+1 pieces (pigeonhole principle)PatternPiece with content, offsets, indexFile: src/wallbreaker/pattern_splitter.rs
BidirectionalExtension<'a, N> structextend_left() using parent linksextend_right() using forward edgesFile: src/wallbreaker/extension.rs
WallBreakerQuery<'a, D> iteratorIterator trait for lazy result streamingFile: src/wallbreaker/query_iterator.rs
wallbreaker module to lib.rsWallBreaker, WallBreakerQuery, WallBreakerResultPatternPiece, PatternSplitterScdawg, ScdawgCharSubstringDictionary, SubstringMatch, BidirectionalDictionaryNodeFiles: src/lib.rs
Test Categories:
test dictionary::scdawg::tests::test_scdawg_bidirectional ... ok
test dictionary::scdawg::tests::test_scdawg_compact ... ok
test dictionary::scdawg::tests::test_scdawg_depth ... ok
test dictionary::scdawg::tests::test_scdawg_dictionary_trait ... ok
test dictionary::scdawg::tests::test_scdawg_empty ... ok
test dictionary::scdawg::tests::test_scdawg_empty_term ... ok
test dictionary::scdawg::tests::test_scdawg_insert_multiple ... ok
test dictionary::scdawg::tests::test_scdawg_insert_single ... ok
test dictionary::scdawg::tests::test_scdawg_iter ... ok
test dictionary::scdawg::tests::test_scdawg_path_string ... ok
test dictionary::scdawg::tests::test_scdawg_remove ... ok
test dictionary::scdawg::tests::test_scdawg_substring_search_multiple ... ok
test dictionary::scdawg::tests::test_scdawg_substring_search_not_found ... ok
test dictionary::scdawg::tests::test_scdawg_substring_search_simple ... ok
test dictionary::scdawg::tests::test_scdawg_with_values ... ok
test dictionary::scdawg_char::tests::test_scdawg_char_bidirectional ... ok
test dictionary::scdawg_char::tests::test_scdawg_char_emoji ... ok
test dictionary::scdawg_char::tests::test_scdawg_char_path_string ... ok
test dictionary::scdawg_char::tests::test_scdawg_char_substring_search ... ok
test dictionary::scdawg_char::tests::test_scdawg_char_unicode ... ok
test dictionary::scdawg_char::tests::test_scdawg_char_with_values ... ok
test wallbreaker::pattern_splitter::tests::test_min_piece_length ... ok
test wallbreaker::pattern_splitter::tests::test_piece_indices ... ok
test wallbreaker::pattern_splitter::tests::test_split_empty ... ok
test wallbreaker::pattern_splitter::tests::test_split_even ... ok
test wallbreaker::pattern_splitter::tests::test_split_short_query ... ok
test wallbreaker::pattern_splitter::tests::test_split_single_char ... ok
test wallbreaker::pattern_splitter::tests::test_split_uneven ... ok
test wallbreaker::pattern_splitter::tests::test_split_unicode ... ok
test wallbreaker::query_iterator::tests::test_levenshtein_distance ... ok
test wallbreaker::query_iterator::tests::test_wallbreaker_result ... ok
test wallbreaker::tests::test_wallbreaker_basic ... ok
test wallbreaker::tests::test_wallbreaker_distance_2 ... ok
test wallbreaker::tests::test_wallbreaker_exact_match ... ok
test wallbreaker::tests::test_wallbreaker_no_match ... ok
test result: ok. 982 passed; 0 failed; 0 ignored
use liblevenshtein::dictionary::scdawg::Scdawg;
use liblevenshtein::wallbreaker::WallBreaker;
// Build SCDAWG dictionary
let dict = Scdawg::<()>::from_terms(vec!["cathedral", "category", "catering"]);
// Create WallBreaker with max distance 2
let wb = WallBreaker::new(&dict, 2);
// Find approximate matches
for result in wb.query("cathedrel") {
println!("{} (distance {})", result.term, result.distance);
}
// Output: cathedral (distance 1)
Document Status: ✅ Complete Last Updated: 2025-12-26 Implementation Status: ✅ Complete and Tested
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