1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
//! liblevenshtein integration for lling-llang.
//!
//! This module provides a bridge between liblevenshtein's Levenshtein automata
//! and lling-llang's WFST framework, enabling efficient fuzzy string matching
//! in correction pipelines.
//!
//! # Overview
//!
//! The integration provides:
//!
//! - **Dictionary Types**: Access to liblevenshtein's dictionary implementations
//! - **Edit Semiring Adapters**: Convert between `TropicalWeight` and `EditWeight`
//! - **Fuzzy Lookup**: High-level APIs for dictionary-based correction
//!
//! # Architecture
//!
//! ```text
//! ┌────────────────────────────────────────────────────────────────────┐
//! │ lling-llang WFST Framework │
//! ├────────────────────────────────────────────────────────────────────┤
//! │ fuzzy_lookup() → liblevenshtein Transducer × Dictionary │
//! │ │ │
//! │ ↓ │
//! │ EditWeight → Explainable corrections with operations │
//! └────────────────────────────────────────────────────────────────────┘
//! ```
//!
//! # Example
//!
//! ```rust,ignore
//! use lling_llang::integration::prelude::*;
//!
//! // Build a dictionary
//! let dict = DynamicDawgChar::<()>::from_terms(vec!["hello", "help", "world"]);
//!
//! // Fuzzy lookup with edit operations tracking
//! let results = fuzzy_lookup_with_edits(&dict, "helo", FuzzyConfig::new(2));
//!
//! for (correction, edit_weight) in results {
//! println!("{}: cost={}, operations={:?}",
//! correction,
//! edit_weight.cost(),
//! edit_weight.describe());
//! }
//! ```
//!
//! # Feature Gate
//!
//! This module requires the `levenshtein` feature:
//!
//! ```toml
//! [dependencies]
//! lling-llang = { version = "0.1", features = ["levenshtein"] }
//! ```
pub use *;
/// Prelude for convenient imports.