Cut The Tree Hackerrank Solution Python May 2026

from collections import defaultdict def cutTree(n, edges): graph = defaultdict(list) for u, v in edges: graph[u].append(v) graph[v].append(u) def dfs(node, parent): size = 1 for child in graph[node]: if child != parent: size += dfs(child, node) return size total_size = dfs(1, -1) max_cut = 0 for node in range(1, n + 1): max_cut = max(max_cut, total_size - dfs(node, -1)) return max_cut

The “Cut the Tree” problem on HackerRank is a popular challenge that tests a programmer’s skills in graph theory, specifically with trees. The problem requires finding the maximum number of nodes that can be cut from a tree such that the remaining tree is still connected. In this article, we will provide a comprehensive guide to solving the “Cut the Tree” problem using Python. cut the tree hackerrank solution python

To solve this problem, we can use a depth-first search (DFS) approach. The idea is to traverse the tree and keep track of the number of nodes in each subtree. We can then use this information to determine the maximum number of nodes that can be cut. To solve this problem, we can use a

Cut the Tree HackerRank Solution Python: A Comprehensive Guide** Cut the Tree HackerRank Solution Python: A Comprehensive