LeetCode 1766. Tree of Coprimes Solution in Java, C++, Python & Go | Explanation + Code

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1766. Tree of Coprimes

Description

There is a tree (i.e., a connected, undirected graph that has no cycles) consisting of n nodes numbered from 0 to n - 1 and exactly n - 1 edges. Each node has a value associated with it, and the root of the tree is node 0.

To represent this tree, you are given an integer array nums and a 2D array edges. Each nums[i] represents the ith node's value, and each edges[j] = [uj, vj] represents an edge between nodes uj and vj in the tree.

Two values x and y are coprime if gcd(x, y) == 1 where gcd(x, y) is the greatest common divisor of x and y.

An ancestor of a node i is any other node on the shortest path from node i to the root. A node is not considered an ancestor of itself.

Return an array ans of size n, where ans[i] is the closest ancestor to node i such that nums[i] and nums[ans[i]] are coprime, or -1 if there is no such ancestor.

 

Example 1:

Input: nums = [2,3,3,2], edges = [[0,1],[1,2],[1,3]]
Output: [-1,0,0,1]
Explanation: In the above figure, each node's value is in parentheses.
- Node 0 has no coprime ancestors.
- Node 1 has only one ancestor, node 0. Their values are coprime (gcd(2,3) == 1).
- Node 2 has two ancestors, nodes 1 and 0. Node 1's value is not coprime (gcd(3,3) == 3), but node 0's
  value is (gcd(2,3) == 1), so node 0 is the closest valid ancestor.
- Node 3 has two ancestors, nodes 1 and 0. It is coprime with node 1 (gcd(3,2) == 1), so node 1 is its
  closest valid ancestor.

Example 2:

Input: nums = [5,6,10,2,3,6,15], edges = [[0,1],[0,2],[1,3],[1,4],[2,5],[2,6]]
Output: [-1,0,-1,0,0,0,-1]

 

Constraints:

  • nums.length == n
  • 1 <= nums[i] <= 50
  • 1 <= n <= 105
  • edges.length == n - 1
  • edges[j].length == 2
  • 0 <= uj, vj < n
  • uj != vj

Solutions

Solution 1: Preprocessing + Enumeration + Stack + Backtracking

Since the range of nums[i] in the problem is [1, 50], we can preprocess all the coprime numbers for each number and record them in the array f, where f[i] represents all the coprime numbers of i.

Next, we can use a backtracking method to traverse the entire tree from the root node. For each node i, we can get all the coprime numbers of nums[i] through the array f. Then we enumerate all the coprime numbers of nums[i], find the ancestor node t that has appeared and has the maximum depth, which is the nearest coprime ancestor node of i. Here we can use a stack array stks of length 51 to get each appeared value v and its depth. The top element of each stack stks[v] is the nearest ancestor node with the maximum depth.

The time complexity is O(n × M), and the space complexity is O(M2 + n). Where n is the number of nodes, and M is the maximum value of nums[i], in this problem M = 50.

PythonJavaC++Go
class Solution: def getCoprimes(self, nums: List[int], edges: List[List[int]]) -> List[int]: def dfs(i, fa, depth): t = k = -1 for v in f[nums[i]]: stk = stks[v] if stk and stk[-1][1] > k: t, k = stk[-1] ans[i] = t for j in g[i]: if j != fa: stks[nums[i]].append((i, depth)) dfs(j, i, depth + 1) stks[nums[i]].pop() g = defaultdict(list) for u, v in edges: g[u].append(v) g[v].append(u) f = defaultdict(list) for i in range(1, 51): for j in range(1, 51): if gcd(i, j) == 1: f[i].append(j) stks = defaultdict(list) ans = [-1] * len(nums) dfs(0, -1, 0) return ans(code-box)

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