
Suppose you have been provided with a one-dimensional (1D) integer array named original and two integers, m (the number of rows) and n (the number of columns). Your objective is to construct a two-dimensional (2D) array using all the elements from the original array. Each row in the resulting 2D array should sequentially take n elements from the original array based on its indices, starting with indices 0 to n-1 for the first row, then n to 2*n-1 for the second row, and so forth until all elements are used. You need to ensure that the total number of elements required to fill the 2D array (m*n) matches the length of original. If it is not possible to fill the array completely and exactly, you are required to return an empty 2D array.
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1 <= original.length <= 5 * 1041 <= original[i] <= 1051 <= m, n <= 4 * 104The total number of elements in the input list (original) must be exactly equal to the product of m and n for a valid transformation. If this condition is not met, an immediate return of an empty array is warranted. Here's how you can conceptualize your approach:
Check for Valid Input Dimension: Start by verifying if the total count of elements, when grouped into n elements per group, equals exactly m rows. This is a preliminary check to see if a complete and valid 2D array can be constructed.
Construct the 2D Array: Provided the preliminary check is successful, process the original array:
n elements for each of the m rows. n elements;Return the Result: After processing the complete list, the result should be a 2D array that conforms to the defined row (m) and column (n) structure. If there was a size mismatch, you should have already returned an empty array before this step.
original = [1,2,3,4] and m = 2, n = 2, the method ensures 4 elements can exactly fill a 2 x 2 array. It forms the first row with the first two elements [1,2] and the second row with the next two [3,4].This approach is direct and primarily takes advantage of Python's capabilities to slice lists and handle basic conditional checks efficiently. Compliance with the constraints ensures no overflow or excessive computations.
This article describes the solution to convert a one-dimensional vector into a two-dimensional matrix using C++. The provided C++ function named createMatrix takes three parameters:
inputVector - a reference to a 1D vector of integers.rows - the desired number of rows in the resulting 2D matrix.cols - the desired number of columns in the resulting 2D matrix.To achieve the transformation, follow these steps:
rows and cols equals the size of the inputVector. If not, return an empty matrix as the dimensions do not allow a perfect reshaping without losing or truncating data.matrix with dimensions specified by rows and cols.inputVector. For each element in inputVector, calculate the relevant row index as integer division of idx (current index) by cols and column index as the remainder of dividing idx by cols. Assign the value from the 1D inputVector to the correct position in the 2D matrix using these indices.The function handles edge cases like mismatched dimensions by returning an empty matrix, ensuring the integrity of data conversion is preserved regardless of input scenarios. Therefore, you have a robust, reusable function for matrix transformations in C++.
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