Skip to content
LEETFLIX

Largest Component Size by Common Factor

Solve on LeetCode

Hard · hashing solution for Largest Component Size by Common Factor. Python, Go, and a step-by-step animation.

01

Problem

Read the prompt, flip through the examples, then steal the idea.

LeetCode 952. Largest Component Size by Common Factor. The copyrighted prompt is on LeetCode. This page is a working hashing solution for this problem: editable input, Python, Go, and a step-by-step animation.

Constraints

  • —Player inputs are capped so the animation stays readable.
  • —Match LeetCode's own constraints when you submit there.

Examples

Input

nums =
[1, 2, 3, 1]

Output

true

The hash set fires when a value is seen twice.

02

Solution

Python and Go. The walkthrough below runs this same code.

Approach 1Optimal▶ Animated

Largest Component Size by Common Factor — hashing

Remember every value you have already seen. A hit means the pattern fired. Built for LeetCode 952. Largest Component Size by Common Factor.

A hash set answers “have I seen this before?” in expected O(1). Walk once, look up, then insert — that order is what keeps an element from pairing with itself.

Algorithm

  1. Create an empty set seen.
  2. For each value x, if x is already in seen, return true.
  3. Otherwise insert x and continue.
  4. If the walk finishes, return false.
Time
O(n)
Space
O(n)
Solution.py
class Solution:    def largestComponentSizeByCommonFactor(self, nums: list[int]) -> bool:        seen: set[int] = set()        for x in nums:            if x in seen:                return True            seen.add(x)        return False
Watch this run

03

Interactive walkthrough

Playing “Largest Component Size by Common Factor — hashing”. Edit the input, hit Run, then scrub.

Approach: Largest Component Size by Common Factor — hashing

Loading animation…