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Given a square matrix of size ?×?�×� that only contains integers, compute the sum of the two diagonals. If the dimension of the square matrix is odd, make sure that you are not double-counting the value at the centre of the matrix. Figure 2: Sum of diagonals. Function specifications Arguments: matrix (numpy.ndarray) →→ input matrix to be used for computing the sum. Return: sum (int) →→ return the sum of the two diagonals. Expected outputs: matrix = np.array([[7, 0, 8], [6, 9, 1], [3, 8, 4]]) sum_of_diagonals(matrix)==31 matrix = np.array([[4, 1, 1, 1], [1, 3, 8, 0], [0, 8, 5, 7], [1, 6, 1, 3]]) sum_of_diagonals(matrix)==33

Given a square matrix of size ?×?�×� that only contains integers, compute the sum of the two diagonals. If the dimension of the square matrix is odd, make sure that you are not double-counting the value at the centre of the matrix. Figure 2: Sum of diagonals. Function specifications Arguments: matrix (numpy.ndarray) →→ input matrix to be used for computing the sum. Return: sum (int) →→ return the sum of the two diagonals. Expected outputs: matrix = np.array([[7, 0, 8], [6, 9, 1], [3, 8, 4]]) sum_of_diagonals(matrix)==31 matrix = np.array([[4, 1, 1, 1], [1, 3, 8, 0], [0, 8, 5, 7], [1, 6, 1, 3]]) sum_of_diagonals(matrix)==33

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Given a square matrix of size ?×?�×� that only contains integers, compute the sum of the two diagonals. If the dimension of the square matrix is odd, make sure that you are not double-counting the value at the centre of the matrix.


Figure 2: Sum of diagonals.

Function specifications

Arguments:

  • matrix (numpy.ndarray) →→ input matrix to be used for computing the sum.

Return:

  • sum (int) →→ return the sum of the two diagonals.

Expected outputs:

matrix = np.array([[7, 0, 8], [6, 9, 1], [3, 8, 4]]) sum_of_diagonals(matrix)==31 matrix = np.array([[4, 1, 1, 1], [1, 3, 8, 0], [0, 8, 5, 7], [1, 6, 1, 3]]) sum_of_diagonals(matrix)==33

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