def test_matrix_util(self):
A = np.array([[1, 2], [3, 4]])
self.assertFalse(mut.IsSymmetric(matrix=A))
self.assertFalse(mut.IsSymmetric(matrix=A, precision=0))
self.assertTrue(mut.IsSymmetric(np.eye(3), 0.))
self.assertFalse(mut.IsPositiveDefinite(matrix=A, tolerance=0))
self.assertTrue(mut.IsPositiveDefinite(A.dot(A.T)))
def test_matrix_util(self):
A = np.array([[1, 2], [3, 4]])
self.assertFalse(mut.IsSymmetric(matrix=A))
self.assertFalse(mut.IsSymmetric(matrix=A, precision=0))
self.assertTrue(mut.IsSymmetric(np.eye(3), 0.))
self.assertFalse(mut.IsPositiveDefinite(matrix=A, tolerance=0))
self.assertTrue(mut.IsPositiveDefinite(A.dot(A.T)))
lower_triangular = np.array([1, 2, 3, 4, 5, 6.])
symmetric_mat = mut.ToSymmetricMatrixFromLowerTriangularColumns(
lower_triangular_columns=lower_triangular)
np.testing.assert_array_equal(
symmetric_mat, np.array([[1, 2, 3], [2, 4, 5], [3, 5, 6]]))