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450.DeleteNodeinaBST.py
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450.DeleteNodeinaBST.py
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"""
Given a root node reference of a BST and a key, delete the node with the
given key in the BST. Return the root node reference (possibly updated) of
the BST.
Basically, the deletion can be divided into two stages:
Search for a node to remove.
If the node is found, delete the node.
Note: Time complexity should be O(height of tree).
Example:
root = [5,3,6,2,4,null,7]
key = 3
5
/ \
3 6
/ \ \
2 4 7
Given key to delete is 3. So we find the node with value 3 and delete it.
One valid answer is [5,4,6,2,null,null,7], shown in the following BST.
5
/ \
4 6
/ \
2 7
Another valid answer is [5,2,6,null,4,null,7].
5
/ \
2 6
\ \
4 7
"""
#Difficulty: Medium
#85 / 85 test cases passed.
#Runtime: 68 ms
#Memory Usage: 18.1 MB
#Runtime: 68 ms, faster than 98.17% of Python3 online submissions for Delete Node in a BST.
#Memory Usage: 18.1 MB, less than 9.61% of Python3 online submissions for Delete Node in a BST.
# 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 deleteNode(self, root: TreeNode, key: int) -> TreeNode:
current = root
if current is None:
return current
if current.val > key:
current.left = self.deleteNode(current.left, key)
elif current.val < key:
current.right = self.deleteNode(current.right, key)
else:
if root.left is None:
temp = root.right
root = None
return temp
elif root.right is None:
temp = root.left
root = None
return temp
current = root.right
while current.left is not None:
current = current.left
temp = current
root.val = temp.val
root.right = self.deleteNode(root.right, temp.val)
return root