pull/138/head
Yudong Jin 2 years ago
parent c4d32621c3
commit dbb25003ec

@ -16,7 +16,6 @@ class AVLTree:
self.root = root
""" 获取结点高度 """
def height(self, node: typing.Optional[TreeNode]) -> int:
# 空结点高度为 -1 ,叶结点高度为 0
if node is not None:
@ -24,13 +23,11 @@ class AVLTree:
return -1
""" 更新结点高度 """
def __update_height(self, node: TreeNode):
# 结点高度等于最高子树高度 + 1
node.height = max([self.height(node.left), self.height(node.right)]) + 1
""" 获取平衡因子 """
def balance_factor(self, node: TreeNode) -> int:
# 空结点平衡因子为 0
if node is None:
@ -39,7 +36,6 @@ class AVLTree:
return self.height(node.left) - self.height(node.right)
""" 右旋操作 """
def __right_rotate(self, node: TreeNode) -> TreeNode:
child = node.left
grand_child = child.right
@ -53,7 +49,6 @@ class AVLTree:
return child
""" 左旋操作 """
def __left_rotate(self, node: TreeNode) -> TreeNode:
child = node.right
grand_child = child.left
@ -67,7 +62,6 @@ class AVLTree:
return child
""" 执行旋转操作,使该子树重新恢复平衡 """
def __rotate(self, node: TreeNode) -> TreeNode:
# 获取结点 node 的平衡因子
balance_factor = self.balance_factor(node)
@ -93,13 +87,11 @@ class AVLTree:
return node
""" 插入结点 """
def insert(self, val) -> TreeNode:
self.root = self.__insert_helper(self.root, val)
return self.root
""" 递归插入结点(辅助函数)"""
def __insert_helper(self, node: typing.Optional[TreeNode], val: int) -> TreeNode:
if node is None:
return TreeNode(val)
@ -117,13 +109,11 @@ class AVLTree:
return self.__rotate(node)
""" 删除结点 """
def remove(self, val: int):
root = self.__remove_helper(self.root, val)
return root
""" 递归删除结点(辅助函数) """
def __remove_helper(self, node: typing.Optional[TreeNode], val: int) -> typing.Optional[TreeNode]:
if node is None:
return None
@ -142,7 +132,7 @@ class AVLTree:
else:
node = child
else: # 子结点数量 = 2 ,则将中序遍历的下个结点删除,并用该结点替换当前结点
temp = self.min_node(node.right)
temp = self.__min_node(node.right)
node.right = self.__remove_helper(node.right, temp.val)
node.val = temp.val
# 更新结点高度
@ -151,8 +141,7 @@ class AVLTree:
return self.__rotate(node)
""" 获取最小结点 """
def min_node(self, node: typing.Optional[TreeNode]) -> typing.Optional[TreeNode]:
def __min_node(self, node: typing.Optional[TreeNode]) -> typing.Optional[TreeNode]:
if node is None:
return None
# 循环访问左子结点,直到叶结点时为最小结点,跳出
@ -161,7 +150,6 @@ class AVLTree:
return node
""" 查找结点 """
def search(self, val: int):
cur = self.root
# 循环查找,越过叶结点后跳出
@ -179,8 +167,8 @@ class AVLTree:
return cur
""" Driver Code """
if __name__ == "__main__":
def test_insert(tree: AVLTree, val: int):
tree.insert(val)
print("\n插入结点 {}AVL 树为".format(val))

@ -12,15 +12,12 @@ from include import *
""" 二叉搜索树 """
class BinarySearchTree:
def __init__(self, nums: typing.List[int]) -> None:
nums.sort()
self.__root = self.build_tree(nums, 0, len(nums) - 1)
""" 构建二叉搜索树 """
def build_tree(self, nums: typing.List[int], start_index: int, end_index: int) -> typing.Optional[TreeNode]:
if start_index > end_index:
return None
@ -38,7 +35,6 @@ class BinarySearchTree:
return self.__root
""" 查找结点 """
def search(self, num: int) -> typing.Optional[TreeNode]:
cur = self.root
# 循环查找,越过叶结点后跳出
@ -55,7 +51,6 @@ class BinarySearchTree:
return cur
""" 插入结点 """
def insert(self, num: int) -> typing.Optional[TreeNode]:
root = self.root
# 若树为空,直接提前返回
@ -86,7 +81,6 @@ class BinarySearchTree:
return node
""" 删除结点 """
def remove(self, num: int) -> typing.Optional[TreeNode]:
root = self.root
# 若树为空,直接提前返回
@ -132,7 +126,6 @@ class BinarySearchTree:
return cur
""" 获取最小结点 """
def min(self, root: typing.Optional[TreeNode]) -> typing.Optional[TreeNode]:
if root is None:
return root
@ -143,6 +136,7 @@ class BinarySearchTree:
return root
""" Driver Code """
if __name__ == "__main__":
# 初始化二叉搜索树
nums = list(range(1, 16))

@ -23,6 +23,7 @@ if __name__ == "__main__":
n1.right = n3
n2.left = n4
n2.right = n5
print("\n初始化二叉树\n")
print_tree(n1)
# 插入与删除结点
@ -31,8 +32,10 @@ if __name__ == "__main__":
# 在 n1 -> n2 中间插入节点 P
n1.left = P
P.left = n2
print("\n插入结点 P 后\n")
print_tree(n1)
# 删除结点
n1.left = n2
print("\n删除结点 P 后\n");
print_tree(n1)

@ -12,8 +12,6 @@ from include import *
""" 层序遍历 """
def hier_order(root: TreeNode):
# 初始化队列,加入根结点
queue: typing.Deque[TreeNode] = collections.deque()

@ -15,8 +15,6 @@ result = []
""" 前序遍历二叉树 """
def pre_order(root: typing.Optional[TreeNode]):
if root is None:
return
@ -28,8 +26,6 @@ def pre_order(root: typing.Optional[TreeNode]):
""" 中序遍历二叉树 """
def in_order(root: typing.Optional[TreeNode]):
if root is None:
return
@ -41,8 +37,6 @@ def in_order(root: typing.Optional[TreeNode]):
""" 后序遍历二叉树 """
def post_order(root: typing.Optional[TreeNode]):
if root is None:
return

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