Files
hello-algo/zh-hant/codes/rust/chapter_heap/heap.rs
T
Yudong Jin 7b320e14fe Sync zh and zh-hant versions (#1801)
* Sync zh and zh-hant versions.

* Unifying "数据体量" -> "数据规模".
2025-08-28 04:51:02 +08:00

72 lines
2.1 KiB
Rust

/*
* File: heap.rs
* Created Time: 2023-07-16
* Author: night-cruise (2586447362@qq.com)
*/
use hello_algo_rust::include::print_util;
use std::{cmp::Reverse, collections::BinaryHeap};
fn test_push_max(heap: &mut BinaryHeap<i32>, val: i32) {
heap.push(val); // 元素入堆積
println!("\n元素 {} 入堆積後", val);
print_util::print_heap(heap.iter().map(|&val| val).collect());
}
fn test_pop_max(heap: &mut BinaryHeap<i32>) {
let val = heap.pop().unwrap();
println!("\n堆積頂元素 {} 出堆積後", val);
print_util::print_heap(heap.iter().map(|&val| val).collect());
}
/* Driver Code */
fn main() {
/* 初始化堆積 */
// 初始化小頂堆積
#[allow(unused_assignments)]
let mut min_heap = BinaryHeap::new();
// Rust 的 BinaryHeap 是大頂堆積,小頂堆積一般會“套上”Reverse
// 初始化大頂堆積
let mut max_heap = BinaryHeap::new();
println!("\n以下測試樣例為大頂堆積");
/* 元素入堆積 */
test_push_max(&mut max_heap, 1);
test_push_max(&mut max_heap, 3);
test_push_max(&mut max_heap, 2);
test_push_max(&mut max_heap, 5);
test_push_max(&mut max_heap, 4);
/* 獲取堆積頂元素 */
let peek = max_heap.peek().unwrap();
println!("\n堆積頂元素為 {}", peek);
/* 堆積頂元素出堆積 */
test_pop_max(&mut max_heap);
test_pop_max(&mut max_heap);
test_pop_max(&mut max_heap);
test_pop_max(&mut max_heap);
test_pop_max(&mut max_heap);
/* 獲取堆積大小 */
let size = max_heap.len();
println!("\n堆積元素數量為 {}", size);
/* 判斷堆積是否為空 */
let is_empty = max_heap.is_empty();
println!("\n堆積是否為空 {}", is_empty);
/* 輸入串列並建堆積 */
// 時間複雜度為 O(n) ,而非 O(nlogn)
min_heap = BinaryHeap::from(
vec![1, 3, 2, 5, 4]
.into_iter()
.map(|val| Reverse(val))
.collect::<Vec<Reverse<i32>>>(),
);
println!("\n輸入串列並建立小頂堆積後");
print_util::print_heap(min_heap.iter().map(|&val| val.0).collect());
}