def test_set_subset_varm(adata, subset_func):
    init_hash = joblib.hash(adata)
    orig_varm_val = adata.varm["o"].copy()

    while True:
        subset_idx = slice_subset(adata.var_names)
        if (adata[:, subset_idx]).shape[1] > 2:
            break
    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.varm["o"].shape[0])), subset.var_names
    )

    assert subset.is_view
    subset.varm["o"][internal_idx] = 1
    assert not subset.is_view
    assert np.all(adata.varm["o"] == orig_varm_val)

    assert init_hash == joblib.hash(adata)
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