Position to make addition

[Atef_Yasser]

def augmented_to_ref(A, b):

stack horizontally matrix A and vector b, which needs to be reshaped as a vector (4, 1)

A_system = np.hstack((A, b.reshape(4, 1))) 

swap row 0 and row 1 of matrix A_system (remember that indexing in NumPy array starts from 0)

A_ref[[0, 1]] = A_ref[[1, 0]] # first problem 

multiply row 0 of the new matrix A_ref by -2 and add it to the row 1

A_ref[0] = A_ref[0] * -2 + A_ref[1]   # second problem

first problem – How we can make assignment and “A_ref” is not defined in the function
second problem – where to store the result of the operation of the comment of second problem above

[Atef_Yasser]

Okey, I didn’t know that we should use our functions that we built before . now, I know the solution of this problem