/*
* File: array_binary_tree.rs
* Created Time: 2023-07-25
* Author: night-cruise (2586447362@qq.com)
*/
use hello_algo_rust::include::{print_util, tree_node};
/* Binary tree type using an array representation */
struct ArrayBinaryTree {
tree: Vec>,
}
impl ArrayBinaryTree {
/* Constructor */
fn new(arr: Vec >) -> Self {
Self { tree: arr }
}
/* Number of positions in the array */
fn size(&self) -> i32 {
self.tree.len() as i32
}
/* Get the value of the node at index i */
fn val(&self, i: i32) -> Option {
// If the index is out of bounds, return None to represent an empty position
if i < 0 || i >= self.size() {
None
} else {
self.tree[i as usize]
}
}
/* Get the left child index of the node at index i */
fn left(&self, i: i32) -> i32 {
2 * i + 1
}
/* Get the right child index of the node at index i */
fn right(&self, i: i32) -> i32 {
2 * i + 2
}
/* Get the parent index of the node at index i */
fn parent(&self, i: i32) -> i32 {
(i - 1) / 2
}
/* Level-order traversal */
fn level_order(&self) -> Vec {
self.tree.iter().filter_map(|&x| x).collect()
}
/* Depth-first traversal */
fn dfs(&self, i: i32, order: &'static str, res: &mut Vec) {
if self.val(i).is_none() {
return;
}
let val = self.val(i).unwrap();
// Preorder traversal
if order == "pre" {
res.push(val);
}
self.dfs(self.left(i), order, res);
// Inorder traversal
if order == "in" {
res.push(val);
}
self.dfs(self.right(i), order, res);
// Postorder traversal
if order == "post" {
res.push(val);
}
}
/* Preorder traversal */
fn pre_order(&self) -> Vec {
let mut res = vec![];
self.dfs(0, "pre", &mut res);
res
}
/* Inorder traversal */
fn in_order(&self) -> Vec {
let mut res = vec![];
self.dfs(0, "in", &mut res);
res
}
/* Postorder traversal */
fn post_order(&self) -> Vec {
let mut res = vec![];
self.dfs(0, "post", &mut res);
res
}
}
/* Driver code */
fn main() {
// Initialize the binary tree
// Use a helper function that builds a binary tree directly from an array
let arr = vec![
Some(1),
Some(2),
Some(3),
Some(4),
None,
Some(6),
Some(7),
Some(8),
Some(9),
None,
None,
Some(12),
None,
None,
Some(15),
];
let root = tree_node::vec_to_tree(arr.clone()).unwrap();
println!("\nInitialize the binary tree\n");
println!("Array representation of the binary tree:");
println!(
"[{}]",
arr.iter()
.map(|&val| if let Some(val) = val {
format!("{val}")
} else {
"null".to_string()
})
.collect::>()
.join(", ")
);
println!("Linked representation of the binary tree:");
print_util::print_tree(&root);
// Binary tree type using an array representation
let abt = ArrayBinaryTree::new(arr);
// Access a node
let i = 1;
let l = abt.left(i);
let r = abt.right(i);
let p = abt.parent(i);
println!(
"\nCurrent node index: {}, value: {}",
i,
if let Some(val) = abt.val(i) {
format!("{val}")
} else {
"null".to_string()
}
);
println!(
"Left child index: {}, value: {}",
l,
if let Some(val) = abt.val(l) {
format!("{val}")
} else {
"null".to_string()
}
);
println!(
"Right child index: {}, value: {}",
r,
if let Some(val) = abt.val(r) {
format!("{val}")
} else {
"null".to_string()
}
);
println!(
"Parent index: {}, value: {}",
p,
if let Some(val) = abt.val(p) {
format!("{val}")
} else {
"null".to_string()
}
);
// Traverse the tree
let mut res = abt.level_order();
println!("\nLevel-order traversal: {:?}", res);
res = abt.pre_order();
println!("Preorder traversal: {:?}", res);
res = abt.in_order();
println!("Inorder traversal: {:?}", res);
res = abt.post_order();
println!("Postorder traversal: {:?}", res);
}