def test_view_delitem(attr):
    adata = gen_adata((10, 10))
    getattr(adata, attr)["to_delete"] = np.ones((10, 10))
    # Shouldn’t be a subclass, should be an ndarray
    assert type(getattr(adata, attr)["to_delete"]) is np.ndarray
    view = adata[5:7, :][:, :5]
    adata_hash = joblib.hash(adata)
    view_hash = joblib.hash(view)

    getattr(view, attr).__delitem__("to_delete")

    assert not view.is_view
    assert "to_delete" not in getattr(view, attr)
    assert "to_delete" in getattr(adata, attr)
    assert adata_hash == joblib.hash(adata)
    assert view_hash != joblib.hash(view)
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