100 Same Tree - Easy
Problem:
Given the roots of two binary trees p
and q
, write a function to check if they are the same or not.
Two binary trees are considered the same if they are structurally identical, and the nodes have the same value.
Example 1:
Input: p = [1,2,3], q = [1,2,3] Output: true
Example 2:
Input: p = [1,2], q = [1,null,2] Output: false
Example 3:
Input: p = [1,2,1], q = [1,1,2] Output: false
Constraints:
- The number of nodes in both trees is in the range
[0, 100]
. -104 <= Node.val <= 104
Problem Analysis:
-
High-Level Strategy:
- The function
isSameTree
takes two binary treesp
andq
as input parameters. - It checks if both trees are identical in structure and node values recursively.
- It first checks if both
p
andq
areNone
, indicating the end of a branch, and returnsTrue
. - If one of them is
None
while the other is not, it means the trees are not identical, so it returnsFalse
. - If neither of the trees is
None
, it checks if the values of the current nodes ofp
andq
are equal. - If the values are equal, it recursively checks the left and right subtrees of both trees.
- The recursion continues until it reaches the leaf nodes or finds a mismatch in node values, at which point it returns
False
. - If the recursion reaches the end without finding any mismatches, it returns
True
, indicating that both trees are identical.
- The function
-
Complexity:
- Let's denote
m
as the number of nodes in treep
andn
as the number of nodes in treeq
. - In the worst case scenario, the function will have to traverse all nodes in both trees to determine whether they are identical.
- Therefore, the time complexity of this solution is O(min(m, n)), as it will stop traversing as soon as it finds a mismatch.
- The space complexity is O(min(m, n)) as well, due to the recursive calls made on the stack.
- Let's denote
Solutions:
# 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 isSameTree(self, p: Optional[TreeNode], q: Optional[TreeNode]) -> bool:
if not p and not q:
return True
if not p or not q:
return False
return (p.val==q.val) and self.isSameTree(p.left, q.left) and self.isSameTree(p.right, q.right);