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Leetcode #1380: Lucky Numbers in a Matrix

In this guide, we solve Leetcode #1380 Lucky Numbers in a Matrix in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

Given an m x n matrix of distinct numbers, return all lucky numbers in the matrix in any order. A lucky number is an element of the matrix such that it is the minimum element in its row and maximum in its column.

Quick Facts

  • Difficulty: Easy
  • Premium: No
  • Tags: Array, Matrix

Intuition

Grid problems are easiest when you define clear row/column boundaries.

A consistent traversal order prevents off-by-one errors.

Approach

Iterate by rows, columns, or layers depending on the requirement.

Keep bounds updated as the traversal progresses.

Steps:

  • Define bounds or directions.
  • Visit cells in order.
  • Update result and move bounds.

Example

Input: matrix = [[3,7,8],[9,11,13],[15,16,17]] Output: [15] Explanation: 15 is the only lucky number since it is the minimum in its row and the maximum in its column.

Python Solution

class Solution: def luckyNumbers(self, matrix: List[List[int]]) -> List[int]: rows = {min(row) for row in matrix} cols = {max(col) for col in zip(*matrix)} return list(rows & cols)

Complexity

The time complexity is O(m×n)O(m \times n)O(m×n), and the space complexity is O(m+n)O(m + n)O(m+n). The space complexity is O(m+n)O(m + n)O(m+n).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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