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 * 104
1 <= original[i] <= 105
1 <= m, n <= 4 * 104
Approach 01:
-
C++
-
Python
class Solution { public: vector<vector<int>> construct2DArray(vector<int>& original, int m, int n) { vector<vector<int>> result; // Check if the size of the original array matches the 2D array dimensions if (original.size() != m * n) { return {}; // Return an empty array if the sizes do not match } // Construct the 2D array for (int i = 0; i < m; i++) { vector<int> row(original.begin() + (i * n), original.begin() + (i + 1) * n); result.push_back(row); } return result; } };
class Solution: def construct2DArray(self, original: List[int], m: int, n: int) -> List[List[int]]: result = [] if(len(original) != (m*n)): return [] for i in range(m): result.append(original[(i*n):(i+1)*n]) return result
Time Complexity
- Checking the Size:
Verifying if the size of the original array matches the required size of the 2D array is an \( O(1) \) operation.
- Constructing the 2D Array:
The solution uses a loop to create the 2D array from the original 1D array. This loop runs
m
times, and for each iteration, a subarray of sizen
is constructed usingoriginal.begin() + (i * n)
andoriginal.begin() + (i + 1) * n
. Constructing each subarray takes \( O(n) \) time, making the total time complexity \( O(m \cdot n) \). - Overall Time Complexity:
The overall time complexity is \( O(m \cdot n) \), where
m
is the number of rows andn
is the number of columns in the 2D array.
Space Complexity
- Space for Result:
The solution uses an additional vector of vectors (
result
) to store the constructed 2D array. The space required for this result is \( O(m \cdot n) \) because it needs to store all the elements of the original array in a 2D format. - Overall Space Complexity:
The overall space complexity is \( O(m \cdot n) \), primarily due to the space required to store the result.