def test_negative_scalar_index(adata, index: int, obs: bool):
    pos_index = index + (adata.n_obs if obs else adata.n_vars)

    if obs:
        adata_pos_subset = adata[pos_index]
        adata_neg_subset = adata[index]
    else:
        adata_pos_subset = adata[:, pos_index]
        adata_neg_subset = adata[:, index]

    np.testing.assert_array_equal(
        adata_pos_subset.obs_names, adata_neg_subset.obs_names
    )
    np.testing.assert_array_equal(
        adata_pos_subset.var_names, adata_neg_subset.var_names
    )
def test_init_errors(self):
        class Phone(Structure):
            _fields_ = [("areacode", c_char*6),
                        ("number", c_char*12)]

        class Person(Structure):
            _fields_ = [("name", c_char * 12),
                        ("phone", Phone),
                        ("age", c_int)]

        cls, msg = self.get_except(Person, b"Someone", (1, 2))
        self.assertEqual(cls, RuntimeError)
        self.assertEqual(msg,
                             "(Phone) <class 'TypeError'>: "
                             "expected string, int found")

        cls, msg = self.get_except(Person, b"Someone", (b"a", b"b", b"c"))
        self.assertEqual(cls, RuntimeError)
        if issubclass(Exception, object):
            self.assertEqual(msg,
                                 "(Phone) <class 'TypeError'>: too many initializers")
        else:
            self.assertEqual(msg, "(Phone) TypeError: too many initializers")