/* * 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, val: i32) { heap.push(val); // 元素入堆 println!("\n元素 {} 入堆后", val); print_util::print_heap(heap.iter().map(|&val| val).collect()); } fn test_push_min(heap: &mut BinaryHeap>, val: i32) { heap.push(Reverse(val)); // 元素入堆 println!("\n元素 {} 入堆后", val); print_util::print_heap(heap.iter().map(|&val| val.0).collect()); } fn test_pop_max(heap: &mut BinaryHeap) { let val = heap.pop().unwrap(); println!("\n堆顶元素 {} 出堆后", val); print_util::print_heap(heap.iter().map(|&val| val).collect()); } fn test_pop_min(heap: &mut BinaryHeap>) { let val = heap.pop().unwrap().0; println!("\n堆顶元素 {} 出堆后", val); print_util::print_heap(heap.iter().map(|&val| val.0).collect()); } /* Driver Code */ fn main() { /* 初始化堆 */ // 初始化小顶堆 #[allow(unused_assignments)] let mut min_heap = BinaryHeap::new(); // Rust 的 BinaryHeap 是大顶堆,小顶堆一般会“套上”Reverse // 初始化大顶堆 let mut max_heap = BinaryHeap::new(); println!("\n以下测试样例为大顶堆"); /* 元素入堆 */ 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); /* 获取堆顶元素 */ let peek = max_heap.peek().unwrap(); println!("\n堆顶元素为 {}", peek); /* 堆顶元素出堆 */ 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); /* 获取堆大小 */ let size = max_heap.len(); println!("\n堆元素数量为 {}", size); /* 判断堆是否为空 */ let is_empty = max_heap.is_empty(); println!("\n堆是否为空 {}", is_empty); /* 输入列表并建堆 */ // 时间复杂度为 O(n) ,而非 O(nlogn) min_heap = BinaryHeap::from( vec![1, 3, 2, 5, 4] .into_iter() .map(|val| Reverse(val)) .collect::>>(), ); println!("\n输入列表并建立小顶堆后"); print_util::print_heap(min_heap.iter().map(|&val| val.0).collect()); }