hello-algo/zh-hant/codes/rust/chapter_heap/heap.rs
Yudong Jin 2a9db6d039
Bug fixes and improvements (#1572)
* Sync zh and zh-hant versions.

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* Sync zh and zh-hant versions.

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* Sync zh and zh-hant versions.
Optimize structrue of index.html.

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2024-11-25 19:21:11 +08:00

73 lines
2.4 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::collections::BinaryHeap;
fn test_push(heap: &mut BinaryHeap<i32>, val: i32, flag: i32) {
heap.push(flag * val); // 元素入堆積
println!("\n元素 {} 入堆積後", val);
print_util::print_heap(heap.iter().map(|&val| flag * val).collect());
}
fn test_pop(heap: &mut BinaryHeap<i32>, flag: i32) {
let val = heap.pop().unwrap();
println!("\n堆積頂元素 {} 出堆積後", flag * val);
print_util::print_heap(heap.iter().map(|&val| flag * 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,當入列時將元素值乘以 -1 將其反轉,當出列時將元素值乘以 -1 將其還原
let min_heap_flag = -1;
// 初始化大頂堆積
let mut max_heap = BinaryHeap::new();
let max_heap_flag = 1;
println!("\n以下測試樣例為大頂堆積");
/* 元素入堆積 */
test_push(&mut max_heap, 1, max_heap_flag);
test_push(&mut max_heap, 3, max_heap_flag);
test_push(&mut max_heap, 2, max_heap_flag);
test_push(&mut max_heap, 5, max_heap_flag);
test_push(&mut max_heap, 4, max_heap_flag);
/* 獲取堆積頂元素 */
let peek = max_heap.peek().unwrap() * max_heap_flag;
println!("\n堆積頂元素為 {}", peek);
/* 堆積頂元素出堆積 */
test_pop(&mut max_heap, max_heap_flag);
test_pop(&mut max_heap, max_heap_flag);
test_pop(&mut max_heap, max_heap_flag);
test_pop(&mut max_heap, max_heap_flag);
test_pop(&mut max_heap, max_heap_flag);
/* 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| min_heap_flag * val)
.collect::<Vec<i32>>(),
);
println!("\n輸入串列並建立小頂堆積後");
print_util::print_heap(min_heap.iter().map(|&val| min_heap_flag * val).collect());
}