Unit 9 Session 2 (Click for link to problem statements)
Understand what the interviewer is asking for by using test cases and questions about the problem.
- Established a set (2-3) of test cases to verify their own solution later.
- Established a set (1-2) of edge cases to verify their solution handles complexities.
- Have fully understood the problem and have no clarifying questions.
- Have you verified any Time/Space Constraints for this problem?
Can the tree be empty?
What should be returned if the tree has only one node?
HAPPY CASE 1
1 (root)
/ \
2 3
/
4
Input: root, x = 4, y = 3
Output: False
Explanation: Node 4 is at depth 2 with parent 2, and Node 3 is at depth 1 with parent 1, so they are not cousins.HAPPY CASE 2
1 (root)
/ \
2 3
\ \
4 5
Input: root, x = 4, y = 5
Output: True
Explanation: Node 4 and Node 5 are at the same depth 2 but with different parents 2 and 3, so they are cousins.Match what this problem looks like to known categories of problems, e.g., Linked List or Dynamic Programming, and strategies or patterns in those categories.
For Tree problems, we want to consider the following approaches:
Plan the solution with appropriate visualizations and pseudocode.
General Idea: Use a BFS approach to traverse the tree level by level. Use a queue to keep track of nodes to be explored along with their corresponding parents and depths. Check if the two target nodes are found at the same depth with different parents.
1) If the tree is empty, return False.
2) Create a queue to hold the nodes, their parents, and their depths.
3) Initialize variables to store information about the nodes x and y.
4) While the queue is not empty:
a) Pop the next node, its parent, and its depth from the queue.
b) If the node's value is x or y, store its parent and depth.
c) If both nodes' information is found, break the loop.
d) Enqueue the left and right children with their parents and depths.
5) Check if both nodes have the same depth and different parents.
6) Return True if they are cousins, otherwise return False.⚠️ Common Mistakes
Implement the code to solve the algorithm.
from collections import deque
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
def is_cousins(root, x, y):
if not root:
return False
queue = deque()
queue.append((root, None, 0)) # (node, parent, depth)
x_info = y_info = None
while queue:
node, parent, depth = queue.popleft()
if node.val == x:
x_info = (parent, depth)
if node.val == y:
y_info = (parent, depth)
if x_info and y_info:
break
if node.left:
queue.append((node.left, node, depth + 1))
if node.right:
queue.append((node.right, node, depth + 1))
if x_info and y_info:
return x_info[1] == y_info[1] and x_info[0] != y_info[0]
return FalseReview the code by running specific example(s) and recording values (watchlist) of your code's variables along the way.
Evaluate the performance of your algorithm and state any strong/weak or future potential work.
