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 _format_unhandled_exception_log(cls, exc, tb, add_newline, should_print_backtrace):
        exc_type = type(exc)
        exception_full_name = "{}.{}".format(exc_type.__module__, exc_type.__name__)
        exception_message = str(exc) if exc else "(no message)"
        maybe_newline = "\n" if add_newline else ""
        return cls._UNHANDLED_EXCEPTION_LOG_FORMAT.format(
            exception_type=exception_full_name,
            backtrace=cls._format_traceback(
                traceback_lines=traceback.format_tb(tb),
                should_print_backtrace=should_print_backtrace,
            ),
            exception_message=exception_message,
            maybe_newline=maybe_newline,
        )