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hello-algo/zh-hant/codes/python/chapter_tree/avl_tree.py

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"""
File: avl_tree.py
Created Time: 2022-12-20
Author: a16su (lpluls001@gmail.com)
"""
import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent))
from modules import TreeNode, print_tree
class AVLTree:
"""AVL 樹"""
def __init__(self):
"""建構子"""
self._root = None
def get_root(self) -> TreeNode | None:
"""獲取二元樹根節點"""
return self._root
def height(self, node: TreeNode | None) -> int:
"""獲取節點高度"""
# 空節點高度為 -1 ,葉節點高度為 0
if node is not None:
return node.height
return -1
def update_height(self, node: TreeNode | None):
"""更新節點高度"""
# 節點高度等於最高子樹高度 + 1
node.height = max([self.height(node.left), self.height(node.right)]) + 1
def balance_factor(self, node: TreeNode | None) -> int:
"""獲取平衡因子"""
# 空節點平衡因子為 0
if node is None:
return 0
# 節點平衡因子 = 左子樹高度 - 右子樹高度
return self.height(node.left) - self.height(node.right)
def right_rotate(self, node: TreeNode | None) -> TreeNode | None:
"""右旋操作"""
child = node.left
grand_child = child.right
# 以 child 為原點,將 node 向右旋轉
child.right = node
node.left = grand_child
# 更新節點高度
self.update_height(node)
self.update_height(child)
# 返回旋轉後子樹的根節點
return child
def left_rotate(self, node: TreeNode | None) -> TreeNode | None:
"""左旋操作"""
child = node.right
grand_child = child.left
# 以 child 為原點,將 node 向左旋轉
child.left = node
node.right = grand_child
# 更新節點高度
self.update_height(node)
self.update_height(child)
# 返回旋轉後子樹的根節點
return child
def rotate(self, node: TreeNode | None) -> TreeNode | None:
"""執行旋轉操作,使該子樹重新恢復平衡"""
# 獲取節點 node 的平衡因子
balance_factor = self.balance_factor(node)
# 左偏樹
if balance_factor > 1:
if self.balance_factor(node.left) >= 0:
# 右旋
return self.right_rotate(node)
else:
# 先左旋後右旋
node.left = self.left_rotate(node.left)
return self.right_rotate(node)
# 右偏樹
elif balance_factor < -1:
if self.balance_factor(node.right) <= 0:
# 左旋
return self.left_rotate(node)
else:
# 先右旋後左旋
node.right = self.right_rotate(node.right)
return self.left_rotate(node)
# 平衡樹,無須旋轉,直接返回
return node
def insert(self, val):
"""插入節點"""
self._root = self.insert_helper(self._root, val)
def insert_helper(self, node: TreeNode | None, val: int) -> TreeNode:
"""遞迴插入節點(輔助方法)"""
if node is None:
return TreeNode(val)
# 1. 查詢插入位置並插入節點
if val < node.val:
node.left = self.insert_helper(node.left, val)
elif val > node.val:
node.right = self.insert_helper(node.right, val)
else:
# 重複節點不插入,直接返回
return node
# 更新節點高度
self.update_height(node)
# 2. 執行旋轉操作,使該子樹重新恢復平衡
return self.rotate(node)
def remove(self, val: int):
"""刪除節點"""
self._root = self.remove_helper(self._root, val)
def remove_helper(self, node: TreeNode | None, val: int) -> TreeNode | None:
"""遞迴刪除節點(輔助方法)"""
if node is None:
return None
# 1. 查詢節點並刪除
if val < node.val:
node.left = self.remove_helper(node.left, val)
elif val > node.val:
node.right = self.remove_helper(node.right, val)
else:
if node.left is None or node.right is None:
child = node.left or node.right
# 子節點數量 = 0 ,直接刪除 node 並返回
if child is None:
return None
# 子節點數量 = 1 ,直接刪除 node
else:
node = child
else:
# 子節點數量 = 2 ,則將中序走訪的下個節點刪除,並用該節點替換當前節點
temp = node.right
while temp.left is not None:
temp = temp.left
node.right = self.remove_helper(node.right, temp.val)
node.val = temp.val
# 更新節點高度
self.update_height(node)
# 2. 執行旋轉操作,使該子樹重新恢復平衡
return self.rotate(node)
def search(self, val: int) -> TreeNode | None:
"""查詢節點"""
cur = self._root
# 迴圈查詢,越過葉節點後跳出
while cur is not None:
# 目標節點在 cur 的右子樹中
if cur.val < val:
cur = cur.right
# 目標節點在 cur 的左子樹中
elif cur.val > val:
cur = cur.left
# 找到目標節點,跳出迴圈
else:
break
# 返回目標節點
return cur
"""Driver Code"""
if __name__ == "__main__":
def test_insert(tree: AVLTree, val: int):
tree.insert(val)
print("\n插入節點 {}AVL 樹為".format(val))
print_tree(tree.get_root())
def test_remove(tree: AVLTree, val: int):
tree.remove(val)
print("\n刪除節點 {}AVL 樹為".format(val))
print_tree(tree.get_root())
# 初始化空 AVL 樹
avl_tree = AVLTree()
# 插入節點
# 請關注插入節點後AVL 樹是如何保持平衡的
for val in [1, 2, 3, 4, 5, 8, 7, 9, 10, 6]:
test_insert(avl_tree, val)
# 插入重複節點
test_insert(avl_tree, 7)
# 刪除節點
# 請關注刪除節點後AVL 樹是如何保持平衡的
test_remove(avl_tree, 8) # 刪除度為 0 的節點
test_remove(avl_tree, 5) # 刪除度為 1 的節點
test_remove(avl_tree, 4) # 刪除度為 2 的節點
result_node = avl_tree.search(7)
print("\n查詢到的節點物件為 {},節點值 = {}".format(result_node, result_node.val))