This Python script is a solution to a problem from HackerRank. The problem requires the calculation of the determinant of a matrix. The matrix is inputted by the user, and the determinant is calculated using the numpy library.
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The script works by first setting the print options for numpy to legacy mode. Then, it takes an integer input 'n' which represents the size of the square matrix. The matrix is then inputted row by row, with each row being a list of floats. The numpy array function is used to convert these lists into a numpy array. Finally, the determinant of this array (which represents the matrix) is calculated using the numpy linalg.det function and printed out.
import numpy as np
np.set_printoptions(legacy="1.13")
n = int(input())
array = np.array([input().split() for _ in range(n)], float)
print(np.linalg.det(array))
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