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| # Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def maxDepth(self, root: Optional[TreeNode]) -> int:
if root == None:
return 0
l = Solution.maxDepth(self,root.left)
r = Solution.maxDepth(self,root.right)
return max(l,r) + 1
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| # Definition for a binary tree node.
from collections import deque
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def maxDepth(self, root: Optional[TreeNode]) -> int:
max_depth = 0
if root is None:
return max_depth
data = deque()
data.append((root,1))
while data:
cur_node , cur_depth= data.popleft()
max_depth = max(max_depth,cur_depth)
if cur_node.left:
data.append((cur_node.left,cur_depth + 1))
if cur_node.right:
data.append((cur_node.right,cur_depth + 1))
return max_depth
|
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| deque([<__main__.TreeNode at 0x207725acfd0>, 1])
|
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| deque([(<__main__.TreeNode at 0x20771f1a710>, 2)])
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| deque([<__main__.TreeNode at 0x207725acfd0>,
1,
(<__main__.TreeNode at 0x207725e48d0>, 3)])
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| <__main__.TreeNode at 0x207725acfd0>
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| (<__main__.TreeNode at 0x207725e48d0>, 3)
|