Coder Social home page Coder Social logo

pathfinding's Introduction

pathfinding

Current Version Documentation License: Apache-2.0/MIT

This crate implements several pathfinding, flow, and graph algorithms in Rust.

Algorithms

The algorithms are generic over their arguments.

Directed graphs

Undirected graphs

Matching

Miscellaneous structures

  • A Grid type representing a rectangular grid in which vertices can be added or removed, with automatic creation of edges between adjacent vertices.
  • A Matrix type to store data of arbitrary types, with neighbour-aware methods.

Using this crate

In your Cargo.toml, put:

[dependencies]
pathfinding = "4.8.2"

You can then pull your preferred algorithm (BFS in this example) using:

use pathfinding::prelude::bfs;

Example

We will search the shortest path on a chess board to go from (1, 1) to (4, 6) doing only knight moves.

use pathfinding::prelude::bfs;

#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)]
struct Pos(i32, i32);

impl Pos {
  fn successors(&self) -> Vec<Pos> {
    let &Pos(x, y) = self;
    vec![Pos(x+1,y+2), Pos(x+1,y-2), Pos(x-1,y+2), Pos(x-1,y-2),
         Pos(x+2,y+1), Pos(x+2,y-1), Pos(x-2,y+1), Pos(x-2,y-1)]
  }
}

static GOAL: Pos = Pos(4, 6);
let result = bfs(&Pos(1, 1), |p| p.successors(), |p| *p == GOAL);
assert_eq!(result.expect("no path found").len(), 5);

Note on floating-point types

Several algorithms require that the numerical types used to describe edge weights implement Ord. If you wish to use Rust built-in floating-point types (such as f32) that implement PartialOrd in this context, you can wrap them into compliant types using the ordered-float crate.

The minimum supported Rust version (MSRV) is Rust 1.70.0.

License

This code is released under a dual Apache 2.0 / MIT free software license.

Contributing

You are welcome to contribute by opening issues or submitting pull requests. Please open an issue before implementing a new feature, in case it is a work in progress already or it is fit for this repository.

In order to pass the continuous integration tests, your code must be formatted using the latest rustfmt with the nightly rust toolchain, and pass cargo clippy and pre-commit checks. Those will run automatically when you submit a pull request. You can install pre-commit to your checked out version of the repository by running:

$ pre-commit install --hook-type commit-msg

This repository uses the conventional commits commit message style, such as:

  • feat(matrix): add Matrix::transpose()
  • fix(tests): remove unused imports

If a pull-request should automatically close an open issue, please include "Fix #xxx# or "Close #xxx" in the pull-request cover-letter.

pathfinding's People

Contributors

samueltardieu avatar bors[bot] avatar renovate[bot] avatar dsp avatar kerollmops avatar cuviper avatar dependabot[bot] avatar dependabot-preview[bot] avatar danielhuang avatar dependabot-support avatar ltratt avatar gbid avatar conradludgate avatar catlee avatar leesongun avatar danielvschoor avatar sylvainroy avatar uriopass avatar nwolber avatar mdsteele avatar jarede-dev avatar felix91gr avatar ehsanul avatar enet4 avatar dzhu avatar radix avatar art049 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.