알고리즘/LeetCode
872. Leaf-Similar Trees
앤테바
2022. 12. 27. 21:52
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문제)
Consider all the leaves of a binary tree, from left to right order, the values of those leaves form a leaf value sequence.
For example, in the given tree above, the leaf value sequence is (6, 7, 4, 9, 8).
Two binary trees are considered leaf-similar if their leaf value sequence is the same.
Return true if and only if the two given trees with head nodes root1 and root2 are leaf-similar.
Example 1:
Input: root1 = [3,5,1,6,2,9,8,null,null,7,4], root2 = [3,5,1,6,7,4,2,null,null,null,null,null,null,9,8]
Output: true
Example 2:
Input: root1 = [1,2,3], root2 = [1,3,2]
Output: false
Constraints:
- The number of nodes in each tree will be in the range [1, 200].
- Both of the given trees will have values in the range [0, 200].
솔루션1)
- dfs로 노드를 순회
- node의 왼쪽 자식과 오른쪽 자식이 없으면 leaf이므로 값을 리스트에 저장
class Solution:
def leafSimilar(self, root1: Optional[TreeNode], root2: Optional[TreeNode]) -> bool:
def dfs(node, leafs):
if node is None:
return
if node.left is None and node.right is None:
# leaf node
leafs.append(node.val)
return
dfs(node.left, leafs)
dfs(node.right, leafs)
leafs1 = []
dfs(root1, leafs1)
leafs2 = []
dfs(root2, leafs2)
return leafs1 == leafs2
솔루션2)
- 솔루션1의 코드를 조금 더 최적화 해서 dfs() 함수의 파라미터로 넘어가는 leaf 노드의 값을 저장하는 리스트 매개 변수를 제거
- 그런데, 솔루션1보다 속도는 더 느리네요...ㅠ
class Solution:
def leafSimilar(self, root1: Optional[TreeNode], root2: Optional[TreeNode]) -> bool:
def dfs(node):
if node is None:
return []
if node.left is None and node.right is None:
return [node.val]
return dfs(node.left) + dfs(node.right)
return dfs(root1) == dfs(root2)
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