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Leetcode #2022: Convert 1D Array Into 2D Array

In this guide, we solve Leetcode #2022 Convert 1D Array Into 2D Array 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

You are given a 0-indexed 1-dimensional (1D) integer array original, and two integers, m and n. You are tasked with creating a 2-dimensional (2D) array with m rows and n columns using all the elements from original.

Quick Facts

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

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: original = [1,2,3,4], m = 2, n = 2 Output: [[1,2],[3,4]] Explanation: The constructed 2D array should contain 2 rows and 2 columns. The first group of n=2 elements in original, [1,2], becomes the first row in the constructed 2D array. The second group of n=2 elements in original, [3,4], becomes the second row in the constructed 2D array.

Python Solution

class Solution: def construct2DArray(self, original: List[int], m: int, n: int) -> List[List[int]]: if m * n != len(original): return [] return [original[i : i + n] for i in range(0, m * n, n)]

Complexity

The time complexity is O(m×n)O(m \times n)O(m×n), where mmm and nnn are the number of rows and columns of the two-dimensional array, respectively. The space complexity is O(1)O(1)O(1).

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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