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 paged_search(self, **kwargs):
                self.connection.search(search_base=kwargs.get("search_base"),
                                       search_scope=kwargs.get("search_scope"),
                                       search_filter=kwargs.get(
                                           "search_filter"),
                                       attributes=kwargs.get("attributes"),
                                       paged_size=kwargs.get("page_size"),
                                       size_limit=kwargs.get("size_limit"),
                                       paged_cookie=None)
                result = self.connection.response
                if kwargs.get("generator", False):
                    # If ``generator=True`` is passed, ``paged_search`` should return an iterator.
                    result = iter(result)
                return result