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 step_impl(context, user_names_str):
    if not hasattr(context, 'users'):
        context.users = {}

    user_names = [name.strip() for name in re.split('and|,', user_names_str)]
    for user_name in user_names:
        token = 'fake_token_' + user_name
        user_id = context.helpers.create_test_user(user_name, token)
        context.users[user_name] = {'token': token, 'id': user_id}