Off-by-one on range boundaries
Wrong move: Loop endpoints miss first/last candidate.
Usually fails on: Fails on minimal arrays and exact-boundary answers.
Fix: Re-derive loops from inclusive/exclusive ranges before coding.
Build confidence with an intuition-first walkthrough focused on array fundamentals.
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.
The elements from indices 0 to n - 1 (inclusive) of original should form the first row of the constructed 2D array, the elements from indices n to 2 * n - 1 (inclusive) should form the second row of the constructed 2D array, and so on.
Return an m x n 2D array constructed according to the above procedure, or an empty 2D array if it is impossible.
Example 1:
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.
Example 2:
Input: original = [1,2,3], m = 1, n = 3 Output: [[1,2,3]] Explanation: The constructed 2D array should contain 1 row and 3 columns. Put all three elements in original into the first row of the constructed 2D array.
Example 3:
Input: original = [1,2], m = 1, n = 1 Output: [] Explanation: There are 2 elements in original. It is impossible to fit 2 elements in a 1x1 2D array, so return an empty 2D array.
Constraints:
1 <= original.length <= 5 * 1041 <= original[i] <= 1051 <= m, n <= 4 * 104Problem summary: 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. The elements from indices 0 to n - 1 (inclusive) of original should form the first row of the constructed 2D array, the elements from indices n to 2 * n - 1 (inclusive) should form the second row of the constructed 2D array, and so on. Return an m x n 2D array constructed according to the above procedure, or an empty 2D array if it is impossible.
Start with the most direct exhaustive search. That gives a correctness anchor before optimizing.
Pattern signal: Array
[1,2,3,4] 2 2
[1,2,3] 1 3
[1,2] 1 1
reshape-the-matrix)Source-backed implementations are provided below for direct study and interview prep.
// Accepted solution for LeetCode #2022: Convert 1D Array Into 2D Array
class Solution {
public int[][] construct2DArray(int[] original, int m, int n) {
if (m * n != original.length) {
return new int[0][0];
}
int[][] ans = new int[m][n];
for (int i = 0; i < m; ++i) {
for (int j = 0; j < n; ++j) {
ans[i][j] = original[i * n + j];
}
}
return ans;
}
}
// Accepted solution for LeetCode #2022: Convert 1D Array Into 2D Array
func construct2DArray(original []int, m int, n int) (ans [][]int) {
if m*n != len(original) {
return [][]int{}
}
for i := 0; i < m*n; i += n {
ans = append(ans, original[i:i+n])
}
return
}
# Accepted solution for LeetCode #2022: Convert 1D Array Into 2D Array
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)]
// Accepted solution for LeetCode #2022: Convert 1D Array Into 2D Array
struct Solution;
impl Solution {
fn construct2_d_array(original: Vec<i32>, m: i32, n: i32) -> Vec<Vec<i32>> {
let k = original.len();
let m = m as usize;
let n = n as usize;
if m * n == k {
let mut res = vec![];
let mut index = 0;
for _ in 0..m {
let mut row = vec![];
for _ in 0..n {
row.push(original[index]);
index += 1;
}
res.push(row);
}
res
} else {
vec![]
}
}
}
#[test]
fn test() {
let original = vec![1, 2, 3, 4];
let m = 2;
let n = 2;
let res = vec_vec_i32![[1, 2], [3, 4]];
assert_eq!(Solution::construct2_d_array(original, m, n), res);
let original = vec![1, 2, 3];
let m = 1;
let n = 3;
let res = vec_vec_i32![[1, 2, 3]];
assert_eq!(Solution::construct2_d_array(original, m, n), res);
let original = vec![1, 2];
let m = 1;
let n = 1;
let res = vec_vec_i32![];
assert_eq!(Solution::construct2_d_array(original, m, n), res);
let original = vec![3];
let m = 1;
let n = 2;
let res = vec_vec_i32![];
assert_eq!(Solution::construct2_d_array(original, m, n), res);
}
// Accepted solution for LeetCode #2022: Convert 1D Array Into 2D Array
function construct2DArray(original: number[], m: number, n: number): number[][] {
if (m * n != original.length) {
return [];
}
const ans: number[][] = [];
for (let i = 0; i < m * n; i += n) {
ans.push(original.slice(i, i + n));
}
return ans;
}
Use this to step through a reusable interview workflow for this problem.
Two nested loops check every pair or subarray. The outer loop fixes a starting point, the inner loop extends or searches. For n elements this gives up to n²/2 operations. No extra space, but the quadratic time is prohibitive for large inputs.
Most array problems have an O(n²) brute force (nested loops) and an O(n) optimal (single pass with clever state tracking). The key is identifying what information to maintain as you scan: a running max, a prefix sum, a hash map of seen values, or two pointers.
Review these before coding to avoid predictable interview regressions.
Wrong move: Loop endpoints miss first/last candidate.
Usually fails on: Fails on minimal arrays and exact-boundary answers.
Fix: Re-derive loops from inclusive/exclusive ranges before coding.