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				https://github.com/krahets/hello-algo.git
				synced 2025-11-04 22:28:40 +08:00 
			
		
		
		
	Fix the issue of discuss comment 7919887 (#996)
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		@ -1,73 +1,51 @@
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/*
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 * File: binary_search_tree.rs
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 * Created Time: 2023-04-20
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 * Author: xBLACKICEx (xBLACKICE@outlook.com)
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 * Author: xBLACKICEx (xBLACKICE@outlook.com)、night-cruise (2586447362@qq.com)
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 */
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include!("../include/include.rs");
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use std::{cell::RefCell, rc::Rc};
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use std::cell::RefCell;
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use std::rc::Rc;
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use std::cmp::Ordering;
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use tree_node::TreeNode;
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type TreeNodeRc = Rc<RefCell<TreeNode>>;
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type OptionTreeNodeRc = Option<Rc<RefCell<TreeNode>>>;
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/* 二叉搜索树 */
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pub struct BinarySearchTree {
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    root: Option<TreeNodeRc>,
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    root: OptionTreeNodeRc,
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}
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impl BinarySearchTree {
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    /* 构造方法 */
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    pub fn new(mut nums: Vec<i32>) -> Self {
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        // 排序数组
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        nums.sort();
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        // 构建二叉搜索树
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        if nums.is_empty() {
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    pub fn new() -> Self {
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        // 初始化空树
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        Self { root: None }
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        } else {  
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            Self { root: Some(Self::build_tree(&nums)) }
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        }
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    }
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    /* 获取二叉树根节点 */
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    pub fn get_root(&self) -> Option<TreeNodeRc> {
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        self.root.clone() // RC 克隆
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    }
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    /* 构建二叉搜索树 */
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    fn build_tree(num: &[i32]) -> TreeNodeRc {
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        // 将数组中间节点作为根节点
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        let mid = num.len() / 2;
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        let root = TreeNode::new(num[mid]);
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        // 递归建立左子树和右子树
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        if mid > 0 {
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            root.borrow_mut().left = Some(Self::build_tree(&num[..mid]));
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        }
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        if mid < num.len() - 1 {
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            root.borrow_mut().right = Some(Self::build_tree(&num[mid + 1..]));
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        }  
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        root
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    pub fn get_root(&self) -> OptionTreeNodeRc {
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        self.root.clone()
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    }
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    /* 查找节点 */
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    pub fn search(&self, num: i32) -> Option<TreeNodeRc> {
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    pub fn search(&self, num: i32) -> OptionTreeNodeRc {
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        let mut cur = self.root.clone();
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        // 循环查找,越过叶节点后跳出
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        while let Some(node) = cur.clone() {
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            match num.cmp(&node.borrow().val) {
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                // 目标节点在 cur 的右子树中
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            if node.borrow().val < num {
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                cur = node.borrow().right.clone();
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            }
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                Ordering::Greater => cur = node.borrow().right.clone(),
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                // 目标节点在 cur 的左子树中
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            else if node.borrow().val > num {
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                cur = node.borrow().left.clone();
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            }
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                Ordering::Less => cur = node.borrow().left.clone(),
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                // 找到目标节点,跳出循环
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            else {
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                break;
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                Ordering::Equal => break,
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            }
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        }
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        // 返回目标节点
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        cur
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    }
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@ -83,27 +61,28 @@ impl BinarySearchTree {
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        let mut pre = None;
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        // 循环查找,越过叶节点后跳出
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        while let Some(node) = cur.clone() {
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            match num.cmp(&node.borrow().val) {
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                // 找到重复节点,直接返回
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            if node.borrow().val == num {
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                return;
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            }
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                Ordering::Equal => return,
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                // 插入位置在 cur 的右子树中
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                Ordering::Greater => {
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                    pre = cur.clone();
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            if node.borrow().val < num {
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                    cur = node.borrow().right.clone();
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                }
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                // 插入位置在 cur 的左子树中
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            else {
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                Ordering::Less => {
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                    pre = cur.clone();
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                    cur = node.borrow().left.clone();
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                }
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            }
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        }
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        // 插入节点
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        let node = TreeNode::new(num);
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        let pre = pre.unwrap();
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        if pre.borrow().val < num {
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            pre.borrow_mut().right = Some(Rc::clone(&node));
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        let node = Some(TreeNode::new(num));
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        if num > pre.borrow().val {
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            pre.borrow_mut().right = node;
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        } else {
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            pre.borrow_mut().left = Some(Rc::clone(&node));
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            pre.borrow_mut().left = node;
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        }
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    }
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@ -117,34 +96,37 @@ impl BinarySearchTree {
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        let mut pre = None;
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        // 循环查找,越过叶节点后跳出
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        while let Some(node) = cur.clone() {
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            match num.cmp(&node.borrow().val) {
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                // 找到待删除节点,跳出循环
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            if node.borrow().val == num {
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                break;
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            }
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                Ordering::Equal => break,
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                // 待删除节点在 cur 的右子树中
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                Ordering::Greater => {
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                    pre = cur.clone();
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            if node.borrow().val < num {
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                    cur = node.borrow().right.clone();
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                }
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                // 待删除节点在 cur 的左子树中
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            else {
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                Ordering::Less => {
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                    pre = cur.clone();
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                    cur = node.borrow().left.clone();
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                }
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            }
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        }
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        // 若无待删除节点,则直接返回
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        if cur.is_none() {
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            return;
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        }
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        let cur = cur.unwrap();
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        let (left_child, right_child) = (cur.borrow().left.clone(), cur.borrow().right.clone());
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        match (left_child.clone(), right_child.clone()) {
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            // 子节点数量 = 0 or 1
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        if cur.borrow().left.is_none() || cur.borrow().right.is_none() {
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            (None, None) | (Some(_), None) | (None, Some(_)) => {
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                // 当子节点数量 = 0 / 1 时, child = nullptr / 该子节点
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            let child = cur.borrow().left.clone().or_else(|| cur.borrow().right.clone());
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                let child = left_child.or(right_child);
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                let pre = pre.unwrap();
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            let left = pre.borrow().left.clone().unwrap();
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                // 删除节点 cur
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                if !Rc::ptr_eq(&cur, self.root.as_ref().unwrap()) {
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                if Rc::ptr_eq(&left, &cur) {
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                    let left = pre.borrow().left.clone();
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                    if left.is_some() && Rc::ptr_eq(&left.as_ref().unwrap(), &cur) {
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                        pre.borrow_mut().left = child;
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                    } else {
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                        pre.borrow_mut().right = child;
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@ -155,7 +137,7 @@ impl BinarySearchTree {
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                }
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            }
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            // 子节点数量 = 2
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        else {
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            (Some(_), Some(_)) => {
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                // 获取中序遍历中 cur 的下一个节点
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                let mut tmp = cur.borrow().right.clone();
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                while let Some(node) = tmp.clone() {
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@ -173,36 +155,37 @@ impl BinarySearchTree {
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            }
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        }
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    }
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}
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/* Driver Code */
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fn main() {
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    /* 初始化二叉搜索树 */
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    let nums = vec![1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
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    let mut bst = BinarySearchTree::new(nums);
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    println!("初始化的二叉树为\n");
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    print_util::print_tree(&bst.get_root().unwrap());
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    let mut bst = BinarySearchTree::new();
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    // 请注意,不同的插入顺序会生成不同的二叉树,该序列可以生成一个完美二叉树
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    let nums = [8, 4, 12, 2, 6, 10, 14, 1, 3, 5, 7, 9, 11, 13, 15];
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    for &num in &nums {
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        bst.insert(num);
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    }
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    println!("\n初始化的二叉树为\n");
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    print_util::print_tree(bst.get_root().as_ref().unwrap());
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    /* 查找节点 */
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    let node = bst.search(7).unwrap();
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    println!(
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        "\n查找到的节点对象为: {:p} 节点值 = {}\n",
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        node.as_ref().as_ptr(),
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        node.borrow().val
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    );
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    /* 查找结点 */
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    let node = bst.search(7);
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    println!("\n查找到的节点对象为 {:?},节点值 = {}", node.clone().unwrap(), node.clone().unwrap().borrow().val);
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    /* 插入节点 */
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    bst.insert(16);
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    println!("插入节点 16 后,二叉树为\n");
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    print_util::print_tree(&bst.get_root().unwrap());
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    println!("\n插入节点 16 后,二叉树为\n");
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    print_util::print_tree(bst.get_root().as_ref().unwrap());
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    /* 删除节点 */
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    bst.remove(1);
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    println!("\n删除节点 1 后,二叉树为\n");
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    print_util::print_tree(&bst.get_root().unwrap());
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    print_util::print_tree(bst.get_root().as_ref().unwrap());
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    bst.remove(2);
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    println!("\n删除节点 2 后,二叉树为\n");
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    print_util::print_tree(&bst.get_root().unwrap());
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    print_util::print_tree(bst.get_root().as_ref().unwrap());
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    bst.remove(4);
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    println!("\n删除节点 4 后,二叉树为\n");
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    print_util::print_tree(&bst.get_root().unwrap());
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    print_util::print_tree(bst.get_root().as_ref().unwrap());
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}
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