def test_invert3_stress(self):
#NOTE: u testu nikada ne sme da se koristi rand funkcija
import random
dim = 100
data = []
data2 = []
for row in range(dim):
r = [random.randint(0, 100) for _ in range(dim)]
data.append(r)
data2.append(r[:])
A = matrix.SquareMatrix(dim, data=data)
B = matrix.SquareMatrix(dim, data=data2)
print(A)
A.invert()
print(A)
C = matrix.Matrix.multiplicate(A, B)
print(C)
def test_invert(self):
A = matrix.SquareMatrix(3, [[1, 2, 7], [3, 2, 5], [1, 5, 2]])
B = matrix.SquareMatrix(3, [[1, 2, 7], [3, 2, 5], [1, 5, 2]])
print(A)
A.invert()
print(A)
C = matrix.Matrix.multiplicate(A, B)
print(C)
def test_invert2(self):
A = matrix.SquareMatrix(
4, [[1, 2, 7, 1], [3, 2, 2, 5], [1, 11, 5, 2], [5, 21, 5, 1]])
B = matrix.SquareMatrix(
4, [[1, 2, 7, 1], [3, 2, 2, 5], [1, 11, 5, 2], [5, 21, 5, 1]])
print(A)
A.invert()
print(A)
C = matrix.Matrix.multiplicate(A, B)
print(C)
def test_lower_zero_triangle(self):
A = matrix.SquareMatrix(3, [[1, 2, 3], [2, 2, 2], [4, 3, 3]])
A.make_zeros_below_diagonal()
self.assertEqual(A.data, [[
1,
2,
3,
], [0, -2, -4], [0, 0, 1]])
def test_upper_zero_triangle(self):
A = matrix.SquareMatrix(3, [[1, 2, 3], [1, 3, 2], [4, 3, 3]])
print(A)
# TODO: ova funkcija, je implementirana samo na sqm
# TODO: pomerite njenu implementaciju na matricu
# TODO: po uradjenom poslu. brisite je iz squer matrice i moraju svi testovi
# TODO: da prodju
A.make_upper_zero_triangle()
print(A)
def test_matrix_multiplication(self):
A = matrix.SquareMatrix(3, [[1, 2, 3], [2, 2, 2], [3, 3, 3]])
B = matrix.SquareMatrix(3, [[4, 4, 4], [5, 6, 7], [6, 6, 6]])
C = matrix.SquareMatrix.multiplicate(A, B)
self.assertEqual(C.data, [[32, 34, 36], [30, 32, 34], [45, 48, 51]])
def test_constructor_width_and_height(self):
M = matrix.SquareMatrix(3)
self.assertEqual(M.get_dimension(), 3)
self.assertEqual(M.get_width(), 3)
self.assertEqual(M.get_height(), 3)
def test_constructor_makes_identity(self):
self.assertEqual(m.SquareMatrix(2), m.Matrix([[1,0],[0,1]]))