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
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
//! Memory efficient trie (prefix tree) library based on LOUDS.
//!
//! [Master API Docs](https://laysakura.github.io/trie-rs/trie_rs/)
//! |
//! [Released API Docs](https://docs.rs/crate/trie-rs)
//! |
//! [Benchmark Results](https://laysakura.github.io/trie-rs/criterion/report/)
//! |
//! [Changelog](https://github.com/laysakura/trie-rs/blob/master/CHANGELOG.md)
//!
//! [![Build Status](https://travis-ci.com/laysakura/trie-rs.svg?branch=master)](https://travis-ci.com/laysakura/trie-rs)
//! [![Crates.io Version](https://img.shields.io/crates/v/trie-rs.svg)](https://crates.io/crates/trie-rs)
//! [![Crates.io Downloads](https://img.shields.io/crates/d/trie-rs.svg)](https://crates.io/crates/trie-rs)
//! [![Minimum rustc version](https://img.shields.io/badge/rustc-1.33+-lightgray.svg)](https://github.com/laysakura/trie-rs#rust-version-supports)
//! [![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/laysakura/trie-rs/blob/master/LICENSE-MIT)
//! [![License: Apache 2.0](https://img.shields.io/badge/license-Apache_2.0-blue.svg)](https://github.com/laysakura/trie-rs/blob/master/LICENSE-APACHE)
//!
//! # Quickstart
//!
//! To use trie-rs, add the following to your `Cargo.toml` file:
//!
//! ```toml
//! [dependencies]
//! trie-rs = "0.1"  # NOTE: Replace to latest minor version.
//! ```
//!
//! ## Usage Overview
//! ```rust
//! use std::str;
//! use trie_rs::TrieBuilder;
//!
//! let mut builder = TrieBuilder::new();  // Inferred `TrieBuilder<u8>` automatically
//! builder.push("すし");
//! builder.push("すしや");
//! builder.push("すしだね");
//! builder.push("すしづめ");
//! builder.push("すしめし");
//! builder.push("すしをにぎる");
//! builder.push("すし");  // Word `push`ed twice is just ignored.
//! builder.push("🍣");
//!
//! let trie = builder.build();
//!
//! // exact_match(): Find a word exactly match to query.
//! assert_eq!(trie.exact_match("すし"), true);
//! assert_eq!(trie.exact_match("🍣"), true);
//! assert_eq!(trie.exact_match("🍜"), false);
//!
//! // predictive_search(): Find words which include `query` as their prefix.
//! let results_in_u8s: Vec<Vec<u8>> = trie.predictive_search("すし");
//! let results_in_str: Vec<&str> = results_in_u8s
//!     .iter()
//!     .map(|u8s| str::from_utf8(u8s).unwrap())
//!     .collect();
//! assert_eq!(
//!     results_in_str,
//!     vec![
//!         "すし",
//!         "すしだね",
//!         "すしづめ",
//!         "すしめし",
//!         "すしや",
//!         "すしをにぎる"
//!     ]  // Sorted by `Vec<u8>`'s order
//! );
//!
//! // common_prefix_search(): Find words which is included in `query`'s prefix.
//! let results_in_u8s: Vec<Vec<u8>> = trie.common_prefix_search("すしや");
//! let results_in_str: Vec<&str> = results_in_u8s
//!     .iter()
//!     .map(|u8s| str::from_utf8(u8s).unwrap())
//!     .collect();
//! assert_eq!(
//!     results_in_str,
//!     vec![
//!         "すし",
//!         "すしや",
//!     ]  // Sorted by `Vec<u8>`'s order
//! );
//! ```
//!
//! ## Using with Various Data Types
//! `TrieBuilder` is implemented using generic type like following:
//!
//! ```text
//! impl<Label: Ord + Clone> TrieBuilder<Label> {
//!     ...
//!     pub fn push<Arr: AsRef<[Label]>>(&mut self, word: Arr) { ... }
//!     ...
//! }
//! ```
//!
//! In the above `Usage Overview` example, we used `Label=u8, Arr=&str`.
//!
//! Here shows other `Label` and `Arr` type examples.
//!
//! ### `Label=&str, Arr=Vec<&str>`
//! Say `Label` is English words and `Arr` is English phrases.
//!
//! ```rust
//! use trie_rs::TrieBuilder;
//!
//! let mut builder = TrieBuilder::new();
//! builder.push(vec!["a", "woman"]);
//! builder.push(vec!["a", "woman", "on", "the", "beach"]);
//! builder.push(vec!["a", "woman", "on", "the", "run"]);
//!
//! let trie = builder.build();
//!
//! assert_eq!(
//!     trie.exact_match(vec!["a", "woman", "on", "the", "beach"]),
//!     true
//! );
//! assert_eq!(
//!     trie.predictive_search(vec!["a", "woman", "on"]),
//!     vec![
//!         ["a", "woman", "on", "the", "beach"],
//!         ["a", "woman", "on", "the", "run"],
//!     ],
//! );
//! assert_eq!(
//!     trie.common_prefix_search(vec!["a", "woman", "on", "the", "beach"]),
//!     vec![vec!["a", "woman"], vec!["a", "woman", "on", "the", "beach"]],
//! );
//! ```
//!
//! ### `Label=u8, Arr=[u8; n]`
//! Say `Label` is a digit in Pi (= 3.14...) and Arr is a window to separate pi's digit by 10.
//!
//! ```rust
//! use trie_rs::TrieBuilder;
//!
//! let mut builder = TrieBuilder::<u8>::new(); // Pi = 3.14...
//!
//! builder.push([1, 4, 1, 5, 9, 2, 6, 5, 3, 5]);
//! builder.push([8, 9, 7, 9, 3, 2, 3, 8, 4, 6]);
//! builder.push([2, 6, 4, 3, 3, 8, 3, 2, 7, 9]);
//! builder.push([6, 9, 3, 9, 9, 3, 7, 5, 1, 0]);
//! builder.push([5, 8, 2, 0, 9, 7, 4, 9, 4, 4]);
//! builder.push([5, 9, 2, 3, 0, 7, 8, 1, 6, 4]);
//! builder.push([0, 6, 2, 8, 6, 2, 0, 8, 9, 9]);
//! builder.push([8, 6, 2, 8, 0, 3, 4, 8, 2, 5]);
//! builder.push([3, 4, 2, 1, 1, 7, 0, 6, 7, 9]);
//! builder.push([8, 2, 1, 4, 8, 0, 8, 6, 5, 1]);
//! builder.push([3, 2, 8, 2, 3, 0, 6, 6, 4, 7]);
//! builder.push([0, 9, 3, 8, 4, 4, 6, 0, 9, 5]);
//! builder.push([5, 0, 5, 8, 2, 2, 3, 1, 7, 2]);
//! builder.push([5, 3, 5, 9, 4, 0, 8, 1, 2, 8]);
//!
//! let trie = builder.build();
//!
//! assert_eq!(trie.exact_match([5, 3, 5, 9, 4, 0, 8, 1, 2, 8]), true);
//! assert_eq!(
//!     trie.predictive_search([3]),
//!     vec![
//!         [3, 2, 8, 2, 3, 0, 6, 6, 4, 7],
//!         [3, 4, 2, 1, 1, 7, 0, 6, 7, 9],
//!     ],
//! );
//! assert_eq!(
//!     trie.common_prefix_search([1, 4, 1, 5, 9, 2, 6, 5, 3, 5]),
//!     vec![[1, 4, 1, 5, 9, 2, 6, 5, 3, 5]],
//! );
//! ```
//!
//! # Features
//! - **Generic type support**: As the above examples show, trie-rs can be used for searching not only UTF-8 string but also other data types.
//! - **Based on [louds-rs](https://crates.io/crates/louds-rs)**, which is fast, parallelized, and memory efficient.
//! - **Latest benchmark results are always accessible**: trie-rs is continuously benchmarked in Travis CI using [Criterion.rs](https://crates.io/crates/criterion). Graphical benchmark results are published [here](https://laysakura.github.io/trie-rs/criterion/report/).
//!
//! # Acknowledgments
//! [`edict.furigana`](https://github.com/laysakura/trie-rs/blob/master/benches/edict.furigana) is used for benchmark.
//! This file is constructed in the following step:
//!
//! 1. Download `edict.gz` from [EDICT](http://www.edrdg.org/jmdict/edict.html).
//! 2. Convert it from original EUC into UTF-8.
//! 3. Translate it into CSV file with [edict-to-csv](https://pypi.org/project/edict-to-csv/).
//! 4. Extract field $1 for Hiragana/Katakana words, and field $3 for other (like Kanji) words.
//! 5. Translate Katakana into Hiragana with [kana2hira](https://github.com/ShellShoccar-jpn/misc-tools/blob/master/kata2hira).
//!
//! Many thanks for these dictionaries and tools.

pub use trie::Trie;
pub use trie::TrieBuilder;

mod internal_data_structure;
pub mod trie;