Preorder Traversal

Visit the root before each subtree, producing root-left-right order.

Algorithm

The canonical tree is 4(2(1,3),6(5,7)), so this Rust DSA implementation can be compared directly with the rest of the DSA track.

Basic Implementation

basic.rs

use std::collections::VecDeque;
struct Node { value: i32, left: Option<Box<Node>>, right: Option<Box<Node>> }
impl Node {
    fn new(value: i32) -> Self { Self { value, left: None, right: None } }
    fn with(value: i32, left: Node, right: Node) -> Self {
        Self { value, left: Some(Box::new(left)), right: Some(Box::new(right)) }
    }
}
fn render(node: &Option<Box<Node>>) -> String {
    match node {
        None => "_".to_string(),
        Some(n) => {
            if n.left.is_none() && n.right.is_none() { n.value.to_string() }
            else { format!("{}({},{})", n.value, render(&n.left), render(&n.right)) }
        }
    }
}
fn sample_tree() -> Option<Box<Node>> {
    Some(Box::new(Node::with(4, Node::with(2, Node::new(1), Node::new(3)), Node::with(6, Node::new(5), Node::new(7)))))
}
fn list_string(values: &[i32]) -> String {
    format!("[{}]", values.iter().map(|v| v.to_string()).collect::<Vec<_>>().join(", "))
}
fn preorder(node: &Option<Box<Node>>, output: &mut Vec<i32>) { if let Some(n) = node { output.push(n.value); preorder(&n.left, output); preorder(&n.right, output); } }
fn main() { let root = sample_tree(); let mut output = Vec::new(); preorder(&root, &mut output); println!("{}", list_string(&output)); }

Complexity

Time: O(n)
Space: O(h) recursion stack

Implementation notes

Render tree structure explicitly instead of printing node objects.
The replay highlights the node, traversal state, queue, path, or search cursor that changes at each step.

preorder Preorder records the current node before visiting left and right subtrees.