1457. Pseudo-Palindromic Paths in a Binary Tree

Medium


Given a binary tree where node values are digits from 1 to 9. A path in the binary tree is said to be pseudo-palindromic if at least one permutation of the node values in the path is a palindrome.

Return the number of pseudo-palindromic paths going from the root node to leaf nodes.

Example 1:

Input: root = [2,3,1,3,1,null,1]
Output:
 2 
Explanation:
 The figure above represents the given binary tree. There are three paths going from the root node to leaf nodes: the red path [2,3,3], the green path [2,1,1], and the path [2,3,1]. Among these paths only red path and green path are pseudo-palindromic paths since the red path [2,3,3] can be rearranged in [3,2,3] (palindrome) and the green path [2,1,1] can be rearranged in [1,2,1] (palindrome).

Example 2:

Input: root = [2,1,1,1,3,null,null,null,null,null,1]
Output:
 1 
Explanation:
 The figure above represents the given binary tree. There are three paths going from the root node to leaf nodes: the green path [2,1,1], the path [2,1,3,1], and the path [2,1]. Among these paths only the green path is pseudo-palindromic since [2,1,1] can be rearranged in [1,2,1] (palindrome).

Example 3:

Input: root = [9]
Output:
 1

Constraints:

  • The number of nodes in the tree is in the range [1, 105].

  • 1 <= Node.val <= 9

class Solution:
    def pseudoPalindromicPaths (self, root: Optional[TreeNode]) -> int:
        return self.dfs(root)
    
    def dfs(self, root, s = set()):
        if not root:
            return 0
        s.remove(root.val) if root.val in s else s.add(root.val)
        count = 0
        if not root.left and not root.right:
            # If set is empty then it is even plaindrome -> no swap required
            # If set has 1 element, it is odd plaindrome -> count it
            # if set has > 1 element, then it is not plaindrome -> reject
            if len(s) <= 1:
                count = 1
        else:
            count += self.dfs(root.left, s) + self.dfs(root.right, s)
        # Again removing since element may be added in subtree
        s.remove(root.val) if root.val in s else s.add(root.val)
        return count

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