mirror of
https://github.com/krahets/hello-algo.git
synced 2024-12-25 00:26:29 +08:00
Update the Optional alias of Python codes.
This commit is contained in:
parent
4d01436138
commit
97ee638d31
8 changed files with 37 additions and 45 deletions
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@ -5,30 +5,28 @@ Author: a16su (lpluls001@gmail.com)
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"""
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import sys, os.path as osp
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import typing
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sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
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from include import *
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class AVLTree:
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def __init__(self, root: typing.Optional[TreeNode] = None):
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def __init__(self, root: Optional[TreeNode] = None):
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self.root = root
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""" 获取结点高度 """
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def height(self, node: typing.Optional[TreeNode]) -> int:
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def height(self, node: Optional[TreeNode]) -> int:
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# 空结点高度为 -1 ,叶结点高度为 0
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if node is not None:
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return node.height
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return -1
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""" 更新结点高度 """
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def __update_height(self, node: TreeNode):
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def __update_height(self, node: Optional[TreeNode]):
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# 结点高度等于最高子树高度 + 1
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node.height = max([self.height(node.left), self.height(node.right)]) + 1
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""" 获取平衡因子 """
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def balance_factor(self, node: TreeNode) -> int:
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def balance_factor(self, node: Optional[TreeNode]) -> int:
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# 空结点平衡因子为 0
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if node is None:
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return 0
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@ -36,7 +34,7 @@ class AVLTree:
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return self.height(node.left) - self.height(node.right)
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""" 右旋操作 """
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def __right_rotate(self, node: TreeNode) -> TreeNode:
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def __right_rotate(self, node: Optional[TreeNode]) -> TreeNode:
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child = node.left
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grand_child = child.right
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# 以 child 为原点,将 node 向右旋转
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@ -49,7 +47,7 @@ class AVLTree:
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return child
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""" 左旋操作 """
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def __left_rotate(self, node: TreeNode) -> TreeNode:
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def __left_rotate(self, node: Optional[TreeNode]) -> TreeNode:
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child = node.right
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grand_child = child.left
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# 以 child 为原点,将 node 向左旋转
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@ -62,7 +60,7 @@ class AVLTree:
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return child
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""" 执行旋转操作,使该子树重新恢复平衡 """
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def __rotate(self, node: TreeNode) -> TreeNode:
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def __rotate(self, node: Optional[TreeNode]) -> TreeNode:
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# 获取结点 node 的平衡因子
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balance_factor = self.balance_factor(node)
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# 左偏树
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@ -92,7 +90,7 @@ class AVLTree:
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return self.root
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""" 递归插入结点(辅助函数)"""
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def __insert_helper(self, node: typing.Optional[TreeNode], val: int) -> TreeNode:
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def __insert_helper(self, node: Optional[TreeNode], val: int) -> TreeNode:
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if node is None:
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return TreeNode(val)
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# 1. 查找插入位置,并插入结点
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@ -114,7 +112,7 @@ class AVLTree:
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return root
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""" 递归删除结点(辅助函数) """
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def __remove_helper(self, node: typing.Optional[TreeNode], val: int) -> typing.Optional[TreeNode]:
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def __remove_helper(self, node: Optional[TreeNode], val: int) -> Optional[TreeNode]:
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if node is None:
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return None
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# 1. 查找结点,并删除之
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@ -141,7 +139,7 @@ class AVLTree:
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return self.__rotate(node)
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""" 获取中序遍历中的下一个结点(仅适用于 root 有左子结点的情况) """
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def __get_inorder_next(self, node: typing.Optional[TreeNode]) -> typing.Optional[TreeNode]:
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def __get_inorder_next(self, node: Optional[TreeNode]) -> Optional[TreeNode]:
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if node is None:
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return None
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# 循环访问左子结点,直到叶结点时为最小结点,跳出
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@ -5,20 +5,18 @@ Author: a16su (lpluls001@gmail.com)
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"""
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import sys, os.path as osp
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import typing
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sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
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from include import *
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""" 二叉搜索树 """
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class BinarySearchTree:
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def __init__(self, nums: typing.List[int]) -> None:
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def __init__(self, nums: List[int]) -> None:
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nums.sort()
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self.__root = self.build_tree(nums, 0, len(nums) - 1)
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""" 构建二叉搜索树 """
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def build_tree(self, nums: typing.List[int], start_index: int, end_index: int) -> typing.Optional[TreeNode]:
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def build_tree(self, nums: List[int], start_index: int, end_index: int) -> Optional[TreeNode]:
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if start_index > end_index:
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return None
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@ -31,11 +29,11 @@ class BinarySearchTree:
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return root
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@property
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def root(self) -> typing.Optional[TreeNode]:
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def root(self) -> Optional[TreeNode]:
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return self.__root
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""" 查找结点 """
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def search(self, num: int) -> typing.Optional[TreeNode]:
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def search(self, num: int) -> Optional[TreeNode]:
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cur = self.root
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# 循环查找,越过叶结点后跳出
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while cur is not None:
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@ -51,7 +49,7 @@ class BinarySearchTree:
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return cur
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""" 插入结点 """
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def insert(self, num: int) -> typing.Optional[TreeNode]:
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def insert(self, num: int) -> Optional[TreeNode]:
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root = self.root
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# 若树为空,直接提前返回
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if root is None:
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@ -81,7 +79,7 @@ class BinarySearchTree:
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return node
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""" 删除结点 """
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def remove(self, num: int) -> typing.Optional[TreeNode]:
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def remove(self, num: int) -> Optional[TreeNode]:
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root = self.root
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# 若树为空,直接提前返回
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if root is None:
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@ -126,7 +124,7 @@ class BinarySearchTree:
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return cur
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""" 获取中序遍历中的下一个结点(仅适用于 root 有左子结点的情况) """
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def get_inorder_next(self, root: typing.Optional[TreeNode]) -> typing.Optional[TreeNode]:
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def get_inorder_next(self, root: Optional[TreeNode]) -> Optional[TreeNode]:
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if root is None:
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return root
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# 循环访问左子结点,直到叶结点时为最小结点,跳出
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@ -5,14 +5,12 @@ Author: a16su (lpluls001@gmail.com)
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"""
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import sys, os.path as osp
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import typing
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sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
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from include import *
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""" 层序遍历 """
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def hier_order(root: TreeNode):
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def hier_order(root: Optional[TreeNode]):
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# 初始化队列,加入根结点
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queue = collections.deque()
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queue.append(root)
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@ -5,8 +5,6 @@ Author: a16su (lpluls001@gmail.com)
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"""
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import sys, os.path as osp
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import typing
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sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
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from include import *
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@ -14,7 +12,7 @@ from include import *
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res = []
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""" 前序遍历 """
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def pre_order(root: typing.Optional[TreeNode]):
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def pre_order(root: Optional[TreeNode]):
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if root is None:
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return
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# 访问优先级:根结点 -> 左子树 -> 右子树
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@ -23,7 +21,7 @@ def pre_order(root: typing.Optional[TreeNode]):
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pre_order(root=root.right)
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""" 中序遍历 """
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def in_order(root: typing.Optional[TreeNode]):
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def in_order(root: Optional[TreeNode]):
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if root is None:
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return
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# 访问优先级:左子树 -> 根结点 -> 右子树
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@ -32,7 +30,7 @@ def in_order(root: typing.Optional[TreeNode]):
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in_order(root=root.right)
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""" 后序遍历 """
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def post_order(root: typing.Optional[TreeNode]):
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def post_order(root: Optional[TreeNode]):
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if root is None:
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return
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# 访问优先级:左子树 -> 右子树 -> 根结点
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@ -4,7 +4,7 @@ import queue
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import random
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import functools
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import collections
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from typing import List
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from typing import Optional, List, Dict, DefaultDict, OrderedDict, Set, Deque
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from .linked_list import ListNode, list_to_linked_list, linked_list_to_list, get_list_node
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from .binary_tree import TreeNode, list_to_tree, tree_to_list, get_tree_node
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from .print_util import print_matrix, print_linked_list, print_tree, print_dict
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@ -134,14 +134,14 @@ G. M. Adelson-Velsky 和 E. M. Landis 在其 1962 年发表的论文 "An algorit
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```python title="avl_tree.py"
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""" 获取结点高度 """
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def height(self, node: typing.Optional[TreeNode]) -> int:
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def height(self, node: Optional[TreeNode]) -> int:
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# 空结点高度为 -1 ,叶结点高度为 0
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if node is not None:
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return node.height
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return -1
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""" 更新结点高度 """
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def __update_height(self, node: TreeNode):
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def __update_height(self, node: Optional[TreeNode]):
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# 结点高度等于最高子树高度 + 1
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node.height = max([self.height(node.left), self.height(node.right)]) + 1
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```
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@ -239,7 +239,7 @@ G. M. Adelson-Velsky 和 E. M. Landis 在其 1962 年发表的论文 "An algorit
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```python title="avl_tree.py"
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""" 获取平衡因子 """
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def balance_factor(self, node: TreeNode) -> int:
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def balance_factor(self, node: Optional[TreeNode]) -> int:
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# 空结点平衡因子为 0
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if node is None:
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return 0
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@ -355,7 +355,7 @@ AVL 树的独特之处在于「旋转 Rotation」的操作,其可 **在不影
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```python title="avl_tree.py"
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""" 右旋操作 """
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def __right_rotate(self, node: TreeNode) -> TreeNode:
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def __right_rotate(self, node: Optional[TreeNode]) -> TreeNode:
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child = node.left
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grand_child = child.right
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# 以 child 为原点,将 node 向右旋转
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@ -470,7 +470,7 @@ AVL 树的独特之处在于「旋转 Rotation」的操作,其可 **在不影
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```python title="avl_tree.py"
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""" 左旋操作 """
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def __left_rotate(self, node: TreeNode) -> TreeNode:
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def __left_rotate(self, node: Optional[TreeNode]) -> TreeNode:
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child = node.right
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grand_child = child.left
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# 以 child 为原点,将 node 向左旋转
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```python title="avl_tree.py"
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""" 执行旋转操作,使该子树重新恢复平衡 """
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def __rotate(self, node: TreeNode) -> TreeNode:
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def __rotate(self, node: Optional[TreeNode]) -> TreeNode:
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# 获取结点 node 的平衡因子
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balance_factor = self.balance_factor(node)
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# 左偏树
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return self.root
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""" 递归插入结点(辅助函数)"""
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def __insert_helper(self, node: typing.Optional[TreeNode], val: int) -> TreeNode:
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def __insert_helper(self, node: Optional[TreeNode], val: int) -> TreeNode:
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if node is None:
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return TreeNode(val)
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# 1. 查找插入位置,并插入结点
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return root
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""" 递归删除结点(辅助函数) """
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def __remove_helper(self, node: typing.Optional[TreeNode], val: int) -> typing.Optional[TreeNode]:
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def __remove_helper(self, node: Optional[TreeNode], val: int) -> Optional[TreeNode]:
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if node is None:
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return None
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# 1. 查找结点,并删除之
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@ -83,7 +83,7 @@ comments: true
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```python title="binary_search_tree.py"
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""" 查找结点 """
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def search(self, num: int) -> typing.Optional[TreeNode]:
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def search(self, num: int) -> Optional[TreeNode]:
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cur = self.root
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# 循环查找,越过叶结点后跳出
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while cur is not None:
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```python title="binary_search_tree.py"
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""" 插入结点 """
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def insert(self, num: int) -> typing.Optional[TreeNode]:
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def insert(self, num: int) -> Optional[TreeNode]:
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root = self.root
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# 若树为空,直接提前返回
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if root is None:
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```python title="binary_search_tree.py"
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""" 删除结点 """
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def remove(self, num: int) -> typing.Optional[TreeNode]:
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def remove(self, num: int) -> Optional[TreeNode]:
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root = self.root
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# 若树为空,直接提前返回
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if root is None:
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@ -66,7 +66,7 @@ comments: true
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```python title="binary_tree_bfs.py"
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""" 层序遍历 """
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def hier_order(root: TreeNode):
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def hier_order(root: Optional[TreeNode]):
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# 初始化队列,加入根结点
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queue = collections.deque()
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queue.append(root)
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```python title="binary_tree_dfs.py"
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""" 前序遍历 """
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def pre_order(root: typing.Optional[TreeNode]):
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def pre_order(root: Optional[TreeNode]):
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if root is None:
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return
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# 访问优先级:根结点 -> 左子树 -> 右子树
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pre_order(root=root.right)
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""" 中序遍历 """
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def in_order(root: typing.Optional[TreeNode]):
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def in_order(root: Optional[TreeNode]):
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if root is None:
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return
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# 访问优先级:左子树 -> 根结点 -> 右子树
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in_order(root=root.right)
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""" 后序遍历 """
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def post_order(root: typing.Optional[TreeNode]):
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def post_order(root: Optional[TreeNode]):
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if root is None:
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return
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# 访问优先级:左子树 -> 右子树 -> 根结点
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