fst === This crate provides a fast implementation of ordered sets and maps using finite state machines. In particular, it makes use of finite state transducers to map keys to values as the machine is executed. Using finite state machines as data structures enables us to store keys in a compact format that is also easily searchable. For example, this crate leverages memory maps to make range queries very fast. Check out my blog post [Index 1,600,000,000 Keys with Automata and Rust](https://blog.burntsushi.net/transducers/) for extensive background, examples and experiments. [![Build status](https://github.com/BurntSushi/fst/workflows/ci/badge.svg)](https://github.com/BurntSushi/fst/actions) [![](https://meritbadge.herokuapp.com/fst)](https://crates.io/crates/fst) Dual-licensed under MIT or the [UNLICENSE](https://unlicense.org/). ### Documentation https://docs.rs/fst The [`regex-automata`](https://docs.rs/regex-automata) crate provides implementations of the `fst::Automata` trait when its `transducer` feature is enabled. This permits using DFAs compiled by `regex-automata` to search finite state transducers produced by this crate. ### Installation Simply add a corresponding entry to your `Cargo.toml` dependency list: ```toml,ignore [dependencies] fst = "0.4" ``` ### Example This example demonstrates building a set in memory and executing a fuzzy query against it. You'll need `fst = "0.4"` with the `levenshtein` feature enabled in your `Cargo.toml`. ```rust use fst::{IntoStreamer, Set}; use fst::automaton::Levenshtein; fn main() -> Result<(), Box> { // A convenient way to create sets in memory. let keys = vec!["fa", "fo", "fob", "focus", "foo", "food", "foul"]; let set = Set::from_iter(keys)?; // Build our fuzzy query. let lev = Levenshtein::new("foo", 1)?; // Apply our fuzzy query to the set we built. let stream = set.search(lev).into_stream(); let keys = stream.into_strs()?; assert_eq!(keys, vec!["fo", "fob", "foo", "food"]); Ok(()) } ``` Check out the documentation for a lot more examples! ### Cargo features * `levenshtein` - **Disabled** by default. This adds the `Levenshtein` automaton to the `automaton` sub-module. This includes an additional dependency on `utf8-ranges`.