Quick Overview

This question evaluates understanding of grid traversal and graph connectivity concepts, focusing on modeling a 2D matrix as adjacency relationships within the coding and algorithms domain.

Count connected land components in a grid

Company: LinkedIn

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: medium

Interview Round: Onsite

You are given a 2D grid of characters where: - `'1'` represents land - `'0'` represents water A group of land cells forms an **island** if they are connected **4-directionally** (up, down, left, right). Determine the number of islands in the grid. ## Input - `grid`: an `m x n` matrix of characters (`'0'` or `'1'`). ## Output - Return an integer: the number of islands. ## Constraints - `1 <= m, n <= 300` - `grid[i][j] ∈ {'0','1'}` ## Notes - Diagonal adjacency does **not** connect islands. - You may modify the grid in-place if desired.

Quick Answer: This question evaluates understanding of grid traversal and graph connectivity concepts, focusing on modeling a 2D matrix as adjacency relationships within the coding and algorithms domain.

Given a 1/0 grid, return the number of four-directionally connected land regions.

Constraints

  • Inputs are provided as Python literals compatible with the function signature.
  • Return a deterministic value exactly matching the requested output.

Examples

Input: ([['1','1','0','0'], ['1','0','0','1'], ['0','0','1','1']],)

Expected Output: 2

Explanation: Two regions.

Input: ([[1, 1], [1, 1]],)

Expected Output: 1

Explanation: One island.

Hints

  1. Start with a direct data structure representation.
  2. Handle edge cases before the main loop.

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