• AVL树Python实现(使用递推实现添加与删除)


    # coding=utf-8
    # AVL树的Python实现(树的节点中包含了指向父节点的指针)
    
    
    def get_height(node):
        return node.height if node else -1
    
    
    def get_maximum(node):
        temp_node = node
        while temp_node.right:
            temp_node = temp_node.right
        return temp_node
    
    
    def get_minimum(node):
        temp_node = node
        while temp_node.left:
            temp_node = temp_node.left
        return temp_node
    
    
    def preorder_tree_walk(node):
        if node:
            print node.key, node.height
            preorder_tree_walk(node.left)
            preorder_tree_walk(node.right)
    
    
    def left_left_rotate(tree, node):
        # 先将 node 和 node_left 之间及其左右节点赋值 (node_left.left node.right 保持不变)
        node_left = node.left
        node.left = node_left.right
        node_left.right = node
        if not node.p:
            tree.root = node_left
            node_left.p = None
        elif node == node.p.left:
            node.p.left = node_left
            node_left.p = node.p
        elif node == node.p.right:
            node.p.right = node_left
            node_left.p = node.p
        node.p = node_left
        while node:
            node.height = max(get_height(node.left), get_height(node.right)) + 1
            node = node.p
    
    
    def right_right_rotate(tree, node):
        node_right = node.right
        node.right = node_right.left
        node_right.left = node
        if not node.p:
            tree.root = node_right
            node_right.p = None
        elif node == node.p.left:
            node.p.left = node_right
            node_right.p = node.p
        elif node == node.p.right:
            node.p.right = node_right
            node_right.p = node.p
        node.p = node_right
        while node:
            node.height = max(get_height(node.left), get_height(node.right)) + 1
            node = node.p
    
    
    def left_right_rotate(tree, node):
        right_right_rotate(tree, node.left)
        left_left_rotate(tree, node)
    
    
    def right_left_rotate(tree, node):
        left_left_rotate(tree, node.right)
        right_right_rotate(tree, node)
    
    
    class AVLTreeNode(object):
        def __init__(self, key):
            self.key = key
            self.p = None
            self.left = None
            self.right = None
            self.height = 0
    
    
    class AVLTree(object):
        def __init__(self):
            self.root = None
    
        def search(self, key):
            if not self.root:
                return None
            else:
                return self._search(key)
    
        def _search(self, key):
            start = self.root
            while start:
                if key < start.key:
                    start = start.left
                elif key > start.key:
                    start = start.right
                else:
                    return start
            return None
    
        def insert(self, node):
            temp_root = self.root
            temp_node = None
            # 找到要插入的父节点(temp_node)
            while temp_root:
                temp_node = temp_root
                if node.key < temp_node.key:
                    temp_root = temp_root.left
                elif node.key > temp_node.key:
                    temp_root = temp_root.right
                else:
                    raise KeyError, "Error!"
    
            # 如果父节点为空 则说明这是一个空树 把 root 赋值即可
            if not temp_node:
                self.root = node
            elif node.key < temp_node.key:
                temp_node.left = node
                node.p = temp_node
                temp_node.height = max(get_height(temp_node.left), get_height(temp_node.right)) + 1
                temp_p = temp_node.p
                while temp_p:
                    temp_p.height = max(get_height(temp_p.left), get_height(temp_p.right)) + 1
                    temp_p = temp_p.p
            elif node.key > temp_node.key:
                temp_node.right = node
                node.p = temp_node
                temp_node.height = max(get_height(temp_node.left), get_height(temp_node.right)) + 1
                temp_p = temp_node.p
                while temp_p:
                    temp_p.height = max(get_height(temp_p.left), get_height(temp_p.right)) + 1
                    temp_p = temp_p.p
            self.fixup(node)
    
        def fixup(self, node):
            if node == self.root:
                return
            while node:
                if get_height(node.left) - get_height(node.right) == 2:
                    if node.left.left:
                        left_left_rotate(self, node)
                    else:
                        left_right_rotate(self, node)
                    break
                elif get_height(node.right) - get_height(node.left) == 2:
                    if node.right.right:
                        right_right_rotate(self, node)
                    else:
                        right_left_rotate(self, node)
                    break
                node = node.p
    
        def delete(self, key):
            temp_node = self.root
            while temp_node:
                if key > temp_node.key:
                    temp_node = temp_node.right
                elif key < temp_node.key:
                    temp_node = temp_node.left
                else:
                    break
            if not temp_node:
                return False
            elif temp_node.left and temp_node.right:
                if get_height(temp_node.left) > get_height(temp_node.right):
                    # 注意删除的时候不是直接把左右子树往上提 而是分别找到左右子树中的最大值和最小值往上提
                    # 由于是最大子节点 故一定没有右子
                    node_max = get_maximum(temp_node.left)
                    if node_max.left:
                        node_max_p = node_max.p
                        node_max_p.right = node_max.left
                        node_max.left.p = node_max_p
                    node_max.right = temp_node.right
                    temp_node.right.p = node_max
                    node_max.left = temp_node.left
                    temp_node.left.p = node_max
                    if temp_node.p:
                        if temp_node == temp_node.p.left:
                            temp_node.p.left = node_max
                            node_max.p = temp_node.p
                        else:
                            temp_node.p.right = node_max
                            node_max.p = temp_node.p
                    else:
                        self.root = node_max
                        node_max.p = None
                    temp_node = node_max
                else:
                    node_min = get_minimum(temp_node.right)
                    if node_min.right:
                        node_min_p = node_min.p
                        node_min_p.left = node_min.right
                        node_min.right.p = node_min_p
                    node_min.left = temp_node.left
                    temp_node.left.p = node_min
                    node_min.right = temp_node.right
                    temp_node.right.p = node_min
                    if temp_node.p:
                        if temp_node == temp_node.p.left:
                            temp_node.p.left = node_min
                            node_min.p = temp_node.p
                        else:
                            temp_node.p.right = node_min
                            node_min.p = temp_node.p
                    else:
                        self.root = node_min
                        node_min.p = None
                    temp_node = node_min
            temp_node.height = max(get_height(temp_node.left), get_height(temp_node.right)) + 1
            self.fixup(temp_node)
    
    
    def main():
        number_list = (7, 4, 1, 8, 5, 2, 9, 6, 3)
        tree = AVLTree()
        for number in number_list:
            node = AVLTreeNode(number)
            tree.insert(node)
        preorder_tree_walk(tree.root)
        tree.delete(4)
        print '=========='
        preorder_tree_walk(tree.root)
    
    
    if __name__ == '__main__':
        main()
    可以比较一下上一篇中实现方法的不同
    End
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  • 原文地址:https://www.cnblogs.com/wuditju/p/6001711.html
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