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1457.Pseudo-PalindromicPathsinaBinaryTree.py
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1457.Pseudo-PalindromicPathsinaBinaryTree.py
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'''
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:
Input: root = [2,3,1,3,1,null,1]
Output: 2
Explanation: The figure above represents the given binary
ree. 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:
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:
Input: root = [9]
Output: 1
Constraints:
- The given binary tree will have between 1 and
10^5 nodes.
- Node values are digits from 1 to 9.
'''
#Difficulty: Medium
#53 / 53 test cases passed.
#Runtime: 540 ms
#Memory Usage: 49.1 MB
#Runtime: 540 ms, faster than 33.16% of Python3 online submissions for Pseudo-Palindromic Paths in a Binary Tree.
#Memory Usage: 49.1 MB, less than 96.05% of Python3 online submissions for Pseudo-Palindromic Paths in a Binary Tree.
# 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 pseudoPalindromicPaths (self, root: TreeNode) -> int:
self.result = 0
self.dfs(root, [])
return self.result
def dfs(self, root, path):
if root:
path.append(root.val)
if not root.left and not root.right:
if self.pathCheck(path):
self.result += 1
if root.left:
self.dfs(root.left, path)
if root.right:
self.dfs(root.right, path)
path.pop()
def pathCheck(self, path):
count = {}
odd = 0
for val in path:
if val not in count:
count[val] = 0
count[val] += 1
for value in count.values():
if value % 2:
odd += 1
if odd > 1:
return False
return True