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
    )
async def get_next(next_link=None):
            request = prepare_request(next_link)

            pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
            response = pipeline_response.http_response

            if response.status_code not in [200]:
                error = self._deserialize.failsafe_deserialize(_models.QueryFailure, response)
                map_error(status_code=response.status_code, response=response, error_map=error_map)
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response