function matrix

[mcgrim]

thanks a lot for your hints.

I have kept your code and changed it a bit, however when I run it, there is a logical error in it
as I always get 1, no matter how the matrix looks.

import numpy as np

 
def is_symmetric(A):
     
    return np.array(A) == np.array(A).T
 
def is_skew(A):
  
     
    return np.array(A) == -np.array(A).T
 
def test_matrix(A):
   

    if is_symmetric(np.any(A)):
        return 1
    if is_skew(np.any(A)):
       return -1
    else:
       return 0
 
 
if __name__ == '__main__':
    a, b, c, d, e, f, g, h, i = 1,2,3,4,5,6,7,8,9
    A = [[a, b, c],
         [d, e, f],
         [g, h, i]]
    print("Testing matrix A: ", test_matrix(A))

---

import numpy as np
 
  
def is_symmetric(A):
      
    return np.array(A) == np.array(A).T
  
def is_skew(A):
   
      
    return np.array(A) == -np.array(A).T
  
def test_matrix(A):
    
 
    if is_symmetric(np.any(A)):
        return 1
    if is_skew(np.any(A)):
       return -1
    else:
       return 0
  
  
if __name__ == '__main__':
    a, b, c, d, e, f, g, h, i = 1,2,3,4,5,6,7,8,9
    A = [[a, b, c],
         [d, e, f],
         [g, h, i]]
    print("Testing matrix A: ", test_matrix(A))