Giter VIP home page Giter VIP logo

louds-rs's Introduction

louds-rs

High performance LOUDS (Level-Order Unary Degree Sequence) library.

Master API Docs | Released API Docs | Benchmark Results | Changelog

GitHub Actions Status Travis Status Crates.io Version Crates.io Downloads Minimum rustc version License: MIT License: Apache 2.0

Quickstart

To use louds-rs, add the following to your Cargo.toml file:

[dependencies]
louds-rs = "0.1"  # NOTE: Replace to latest minor version.

Usage Overview

Say we want to hold the following tree structure in minimum length of bits.

(1)
 |
 |---+---+
 |   |   |
(2) (3) (4)
 |       |
 |       |---+-----+
 |       |   |     |
(5)     (6) (7)   (8)
             |     |
             |     |----+
             |     |    |
            (9)   (10) (11)

This tree has NodeNum (node number of 1-origin, assigned from left node to right & top to bottom) and edges. With LOUDS, this tree is represented as the following LBS (LOUDS Bit String).

NodeNum       | 0 (virtual root) | 1          | 2    | 3 | 4          | 5 | 6 | 7    | 8       | 9 | 10 | 11 |
LBS           | 1  0             | 1  1  1  0 | 1  0 | 0 | 1  1  1  0 | 0 | 0 | 1  0 | 1  1  0 | 0 | 0  | 0  |
Child NodeNum | 1  -             | 2  3  4  - | 5  - | - | 6  7  8  - | - | - | 9  - | 10 11 - | - | -  | -  |
Index         | 0  1             | 2  3  4  5 | 6  7 | 8 | 9  10 11 12| 13| 14| 15 16| 17 18 19| 20| 21 | 22 |

The same tree is represented as follows using index.

<0>
 |
 |---+---+
 |   |   |
<2> <3> <4>
 |       |
 |       |---+-----+
 |       |   |     |
<6>     <9> <10>  <11>
             |     |
             |     |----+
             |     |    |
            <15>  <17> <18>

Then, create this tree structure with Louds and call operations to it.

use louds_rs::{Louds, LoudsIndex, LoudsNodeNum};

// Construct from LBS.
let s = "10_1110_10_0_1110_0_0_10_110_0_0_0";
let louds = Louds::from(s);

// LoudsNodeNum <-> LoudsIndex
let node8 = LoudsNodeNum(8);
let index11 = louds.node_num_to_index(node8);
assert_eq!(louds.index_to_node_num(index11), node8);

// Search for children.
assert_eq!(louds.parent_to_children(node8), vec!(LoudsIndex(17), LoudsIndex(18)));

// Search for parent.
assert_eq!(louds.child_to_parent(index11), LoudsNodeNum(4));

Constructors

use louds_rs::Louds;

// Most human-friendly way: Louds::from::<&str>()
let louds1 = Louds::from("10_1110_10_0_1110_0_0_10_110_0_0_0");

// Simple way: Louds::from::<&[bool]>()
let mut arr = vec![
    true, false,
    true, true, true, false,
    true, false,
    false,
    true, true, true, false,
    false,
    false,
    true, false,
    true, true, false,
    false,
    false,
    false,
];
let louds2 = Louds::from(&arr[..]);

Features

  • Arbitrary length support with minimum working memory: louds-rs provides virtually arbitrary size of LOUDS. It is carefully designed to use as small memory space as possible.
  • Based on fid-rs, which is fast, parallelized, and memory efficient. It provides fast construction (Louds::from()).
  • Latest benchmark results are always accessible: louds-rs is continuously benchmarked in Travis CI using Criterion.rs. Graphical benchmark results are published here.

Complexity

When the number of nodes in the tree represented as LOUDS is N:

Operation Time-complexity Space-complexity
Louds::from::<&str>() O(N) N + o(N)
Louds::from::<&[bool]>() O(N) N + o(N)
node_num_to_index() O() N + o(N)
index_to_node_num() O(1) O(1)
child_to_parent() O(1) O(1)
parent_to_children() O( max(log N, max num of children a node has) ) O( max(log N, max num of children a node has) )
parent_to_children_indices() O(1) O( 1 )
parent_to_children_indices().next() O(log N) at first then O(1) O( 0 )
parent_to_children_indices().next_back() O(log N) at first then O(1) O( 0 )

(node_num_to_index() and child_to_parent() use Fid::select(). index_to_node_num() and parent_to_children() use rank()). parent_to_children_nodes() has the same time complexity as parent_to_children_indices().

Versions

louds-rs uses semantic versioning.

Since current major version is 0, minor version update might involve breaking public API change (although it is carefully avoided).

Rust Version Supports

louds-rs is continuously tested with these Rust versions in Travis CI:

  • 1.33.0
  • Latest stable version

So it expectedly works with Rust 1.33.0 and any newer versions.

Older versions may also work, but are not tested or guaranteed.

Contributing

Any kind of pull requests are appreciated.

Guidelines

  • README.md is generated from $ cargo readme command. Do not manually update README.md but edit src/lib.rs and then $ cargo readme > README.md.
  • Travis CI automatically does the following commit & push to your pull-requests:
    • $ cargo readme > README.md
    • $ cargo fmt --all

License

MIT OR Apache-2.0

louds-rs's People

Contributors

laysakura avatar lucacappelletti94 avatar shanecelis avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar

louds-rs's Issues

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.