Crate tree_flat

source ·
Expand description

TreeFlat is the simplest way to build & traverse a pre-order Tree for Rust.

If you build a tree::Tree in pre-order, and display in pre-order, this is the tree for you.

No extra fluff, just a simple & performant one-trick pony.

Note: The tree depends on the build order, so is not possible to re-order the tree (changing parents or levels) in different order. So, for example, you can’t add a branch later to one in the middle (only can add after the end…).

How it works

Instead of creating an tree::Tree of node::Node pointers, nested enums, or nested Arena-based ids, it just stores the representation of a tree::Tree like:

. Users
├── jhon_doe
├   ├── file1.rs
├   ├── file2.rs
├── jane_doe
└────── cat.jpg

… flattened in pre-order on 3 Vec, that store the data, the level/deep and the parent:

DATA:Usersjhon_doefile1.rsfile2.rsjane_doecat.jpg
LEVEL:012212
PARENT:001104

This allows for the performance of Vec, on the most common operations (critically: Push items + Iterate), and very efficient iterations of node::Node::parents/node::Node::children/node::Node::siblings, because it just traverses the flat vectors.

The iterators exploit these observations:

  • The children are at the right/up of the parent
  • The parents are at the left/down of the children
  • The siblings are all that share the same level

Examples

use tree_flat::prelude::*;

let mut tree = Tree::with_capacity("Users", 6);

let mut root = tree.tree_root_mut();

let mut child = root.push("jhon_doe");
child.push("file1.rs");
child.push("file2.rs");

let mut child = root.push("jane_doe");
child.push("cat.jpg");

//The data is backed by vectors and arena-like ids on them:
assert_eq!(
   tree.as_data(),
   ["Users", "jhon_doe", "file1.rs", "file2.rs", "jane_doe", "cat.jpg",]
);
assert_eq!(tree.as_level(), [0, 1, 2, 2, 1, 2,]);
assert_eq!(tree.as_parents(), [0, 0, 1, 1, 0, 4,]);
//Pretty print the tree
println!("{}", tree);

//Iterations are as inserted:
for f in &tree {
  dbg!(f);
}

Inspired by the talk:

“High-performance Tree Wrangling, the APL Way” – Aaron Hsu - APL Wiki

Modules

  • Flat-tree iterators
  • Flat-tree nodes
  • Import this module for easy access to the Flat-tree
  • Flat-tree implementation