# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def pathSum(self, root, sum):
"""
:type root: TreeNode
:type sum: int
:rtype: List[List[int]]
"""
if root == None:
return []
result = []
self.dfs(root, result, tmp ...- read more
112. Path Sum
read more# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def hasPathSum(self, root, sum): """ :type root: TreeNode :type sum: int :rtype: bool """ if root == None: return False result = [] self.dfs(root, result, tmp=[]) return ...
111. Minimum Depth of Binary Tree
read more# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def minDepth(self, root): """ :type root: TreeNode :rtype: int """ return self.depth(root, layer=0) def depth(self, root, layer): if root == None: return layer ...
110. Balanced Binary Tree
read more# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def isBalanced(self, root): """ :type root: TreeNode :rtype: bool """ if root == None: return True return abs(self.getHeight(root.left) - self.getHeight(root.right)) < 2 ...
109. Convert Sorted List to Binary Search Tree
read more# Definition for singly-linked list. # class ListNode(object): # def __init__(self, x): # self.val = x # self.next = None # Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def sortedListToBST(self, head): """ :type head: ListNode :rtype ...
108. Convert Sorted Array to Binary Search Tree
read more# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def sortedArrayToBST(self, nums): """ :type nums: List[int] :rtype: TreeNode """ length = len(nums) if length == 0: return None root = TreeNode(nums[length/2]) root.left ...
107. Binary Tree Level Order Traversal II
read more# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def levelOrderBottom(self, root): """ :type root: TreeNode :rtype: List[List[int]] """ if root == None: return [] queue = [root] result = [] while queue: newq = [] newr = [] for item in ...
106. Construct Binary Tree from Inorder and Postorder Traversal
read more# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def buildTree(self, inorder, postorder): """ :type inorder: List[int] :type postorder: List[int] :rtype: TreeNode """ if not postorder: return None root = TreeNode(postorder[-1]) pos ...
105. Construct Binary Tree from Preorder and Inorder Traversal
read more# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def buildTree(self, preorder, inorder): """ :type preorder: List[int] :type inorder: List[int] :rtype: TreeNode """ # inorder:DBHEIAFCG # preorder:ABDEHICFG if not inorder: # inorder base is ...
104. Maximum Depth of Binary Tree
read more# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def maxDepth(self, root): """ :type root: TreeNode :rtype: int """ return self.depth(root, layer=0) def depth(self, root, layer): if root == None: return layer ...