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First completed : July 17, 2024
Last updated : July 17, 2024
Related Topics : Array, Hash Table, Tree, Depth-First Search, Binary Tree
Acceptance Rate : 72.43 %
# 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 delNodes(self, root: Optional[TreeNode], to_delete: List[int]) -> List[TreeNode]:
output = []
to_delete = set(to_delete)
# Returns pointer --> if remove then return null
def dfs(curr: Optional[TreeNode], to_delete: set, output: List[Optional[TreeNode]]) -> Optional[TreeNode] :
if not curr :
return None
# If found quickly, rest of traversal is redundant
if not to_delete :
return curr
if curr.val in to_delete :
to_delete.remove(curr.val)
left = dfs(curr.left, to_delete, output)
right = dfs(curr.right, to_delete, output)
if left :
output.append(left)
if right :
output.append(right)
return None
curr.left = dfs(curr.left, to_delete, output)
curr.right = dfs(curr.right, to_delete, output)
return curr
head = dfs(root, to_delete, output)
if head :
output.append(head)
return output