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 data():
    metric = request.args.get('metric', None)
    try:
        raw_series = REDIS_CONN.get(metric)
        if not raw_series:
            resp = json.dumps({'results': 'Error: No metric by that name'})
            return resp, 404
        else:
            unpacker = Unpacker(use_list = False)
            unpacker.feed(raw_series)
            timeseries = [item[:2] for item in unpacker]
            resp = json.dumps({'results': timeseries})
            return resp, 200
    except Exception as e:
        error = "Error: " + e
        resp = json.dumps({'results': error})
        return resp, 500