def test_center_distance_matrix_inplace(self):
dm_expected = f_matrix(e_matrix(self.small_mat))
# make copy of matrix to test inplace centering
matrix_copy = copy.deepcopy(self.small_mat)
dm_centered = center_distance_matrix(matrix_copy, inplace=False)
# ensure that matrix_copy was NOT modified inplace
self.assertTrue(np.array_equal(matrix_copy, self.small_mat))
# and ensure that the result of centering was correct
npt.assert_almost_equal(dm_expected, dm_centered)
# next, sort same matrix inplace
matrix_copy2 = copy.deepcopy(self.small_mat)
dm_centered_inp = center_distance_matrix(matrix_copy2, inplace=True)
# and ensure that the result of inplace centering was correct
npt.assert_almost_equal(dm_expected, dm_centered_inp)
def test_e_matrix(self):
E = e_matrix(self.matrix)
expected_E = np.array([[-0.5, -2., -4.5], [-8., -12.5, -18.]])
npt.assert_almost_equal(E, expected_E)
def test_e_matrix(self):
E = e_matrix(self.matrix)
expected_E = np.array([[-0.5, -2., -4.5],
[-8., -12.5, -18.]])
npt.assert_almost_equal(E, expected_E)