def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
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