Graph Connectivity With Threshold — LeetCode 1627 Python Solution
- Problem
- #1627
- Pattern
- Union-Find
- Reading time
- 6 min
- Source
- leetcode.com
The problem
We have n cities labeled from 1 to n. Two different cities with labels x and y are directly connected by a bidirectional road if and only if x and y share a common divisor strictly greater than some threshold.
Example
- Input
- n = 6, threshold = 2, queries = [[1,4],[2,5],[3,6]]
- Output
- [false,false,true]
- Explanation
- The divisors for each number:
Python solution
class UnionFind:
def __init__(self, n):
self.p = list(range(n))
self.size = [1] * n
def find(self, x):
if self.p[x] != x:
self.p[x] = self.find(self.p[x])
return self.p[x]
def union(self, a, b):
pa, pb = self.find(a), self.find(b)
if pa == pb:
return False
if self.size[pa] > self.size[pb]:
self.p[pb] = pa
self.size[pa] += self.size[pb]
else:
self.p[pa] = pb
self.size[pb] += self.size[pa]
return True
class Solution:
def areConnected(
self, n: int, threshold: int, queries: List[List[int]]
) -> List[bool]:
uf = UnionFind(n + 1)
for a in range(threshold + 1, n + 1):
for b in range(a + a, n + 1, a):
uf.union(a, b)
return [uf.find(a) == uf.find(b) for a, b in queries]Complexity
| Measure | Complexity |
|---|---|
| Time | O(n \times \log n \times (\alpha(n) + q)) |
| Space | O(n) auxiliary |
Pattern: Union-Find
Merge groups and ask whether two things are connected, both in near-constant time. LeetCode 1627. Graph Connectivity With Threshold is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Union Find.
The union-find guide has the Python template for the pattern and the 83 LeetCode problems that use it.
Related problems
Frequently asked questions
- How hard is LeetCode 1627. Graph Connectivity With Threshold?
- LeetCode 1627. Graph Connectivity With Threshold is rated Hard on LeetCode.
- What is the time complexity of LeetCode 1627. Graph Connectivity With Threshold?
- The Python solution on this page runs in O(n \times \log n \times (\alpha(n) + q)).
- What is the space complexity of LeetCode 1627. Graph Connectivity With Threshold?
- The Python solution on this page uses O(n) auxiliary space.
- What topics does LeetCode 1627. Graph Connectivity With Threshold cover?
- LeetCode 1627. Graph Connectivity With Threshold is tagged Union Find, Array, Math and Number Theory on LeetCode.